This article provides a systematic overview of mouse peritonitis models, essential tools for studying inflammatory responses, sepsis, and evaluating novel therapeutics.
This article provides a systematic overview of mouse peritonitis models, essential tools for studying inflammatory responses, sepsis, and evaluating novel therapeutics. Tailored for researchers and drug development professionals, it covers the foundational pathophysiology of peritonitis, details established and novel methodologies like fecal-induced peritonitis (FIP) and cecal ligation and puncture (CLP), and addresses critical troubleshooting for model standardization. It further explores validation techniques, including robust sepsis scoring systems and comparative analyses of model translatability, offering a complete framework for designing, executing, and interpreting preclinical studies in inflammatory diseases.
Peritonitis is a serious medical condition characterized by inflammation of the peritoneum, the thin layer of tissue that lines the inner wall of the abdomen and covers the abdominal organs [1] [2]. This condition typically arises from bacterial or fungal infections but can also be triggered by chemical irritation from fluids that leak into the peritoneal cavity from damaged organs [2]. Peritonitis represents a medical emergency that requires immediate intervention, as it can rapidly progress to life-threatening systemic infection (sepsis), organ failure, and death if left untreated [1] [2].
The clinical significance of peritonitis extends across multiple medical specialties, including emergency medicine, surgery, gastroenterology, and nephrology. For researchers and drug development professionals, understanding the pathophysiology of peritonitis is crucial for developing novel therapeutic strategies. Mouse models of peritonitis have become indispensable tools for investigating the inflammatory responses, immune mechanisms, and potential treatments for this condition [3] [4] [5].
Peritonitis is clinically classified into different types based on its underlying cause and mechanism. The table below summarizes the main classifications and their characteristics.
Table 1: Classification and Causes of Peritonitis
| Type | Underlying Causes | Key Characteristics |
|---|---|---|
| Spontaneous Bacterial Peritonitis (SBP) [1] [2] | Liver cirrhosis, kidney disease, ascites from congestive heart failure or cancer [1] [2] | Primary infection without an obvious source of contamination; common in patients with advanced liver disease and ascitic fluid buildup. |
| Secondary Peritonitis [1] [2] | Perforated appendix, stomach ulcer, diverticulitis, inflammatory bowel disease, traumatic injury, pancreatitis, surgical complications [1] [2] | Caused by a hole/rupture in an abdominal organ or direct contamination; most common form. |
| Peritoneal Dialysis-Associated [1] | Contamination during dialysis procedures (poor hygiene, tainted equipment) [1] | Infection related to peritoneal dialysis catheters; a major complication of this treatment modality. |
| Chemical Peritonitis [2] | Leakage of sterile fluids (bile, stomach acid, pancreatic enzymes) [2] | Inflammation triggered by non-infectious irritants before potential secondary bacterial infection. |
The pathophysiology of peritonitis involves a complex cascade of immune responses initiated when pathogens or irritants breach the peritoneal cavity. Macrophages play a pivotal role as the first line of defense, recognizing pathogens and releasing pro-inflammatory cytokines such as IL-1β, IL-6, and TNF-α [4]. This cytokine storm recruits neutrophils and other immune cells to the site of infection, leading to the hallmark inflammation of the peritoneum [4].
Recent research has uncovered novel molecular mechanisms driving this excessive inflammation. The transcription factor IKZF1 has been identified as a key regulator that exacerbates the inflammatory response in macrophages during acute peritonitis [3] [4]. Mechanistically, IKZF1 directly represses Succinate Dehydrogenase Complex Iron Sulfur Subunit B (SDHB) by recruiting histone deacetylase 3 (HDAC3) to deacetylate SDHB. This epigenetic silencing disrupts mitochondrial function, leading to reactive oxygen species (ROS) accumulation, reduced ATP production, and succinate buildup, which in turn amplifies pro-inflammatory signaling [3] [4]. This IKZF1/HDAC3-SDHB-succinate axis represents a promising therapeutic target for modulating the inflammatory response in peritonitis.
Figure 1: Inflammatory Signaling Pathway in Peritonitis. The diagram illustrates the key molecular and cellular events triggered by bacterial infection or chemical irritation, culminating in systemic inflammation.
Concurrently, transcriptomic analyses of blood from murine peritonitis models have revealed systemic changes in gene expression. Studies using LPS-induced peritonitis have identified 290 differentially expressed genes (DEGs), with 242 upregulated and 48 downregulated [5]. Activated pathways include NOD-like receptor signaling, Toll-like receptor signaling, apoptosis, and phagocytosis, while pathways involved in adaptive immunity, such as Th1/Th2 cell differentiation and T-cell receptor signaling, are suppressed [5]. This systemic immunosuppressive state often follows the initial hyperinflammatory phase and contributes to the vulnerability to secondary infections.
Mouse models are fundamental for studying the inflammatory responses in peritonitis. The table below summarizes the key quantitative findings from recent studies utilizing different models.
Table 2: Quantitative Outcomes from Mouse Peritonitis Models
| Model Type | Key Experimental Outcomes | Reference |
|---|---|---|
| Cecal Ligation and Puncture (CLP) | IKZF1 expression significantly upregulated in macrophages; Lenalidomide treatment attenuated inflammatory responses and lung injury. [3] [4] | Liu et al., 2025 |
| LPS-Induced | 290 differentially expressed genes (DEGs) identified in blood: 242 up-regulated, 48 down-regulated. [5] | Li et al., 2025 |
| MSSA Lethal Peritonitis | 6-times lavage with PD solution significantly reduced 24-h mortality and prevented rough fur, intraabdominal adhesion, and pus formation. [6] | PMC, 2025 |
| IL-1β-Induced | Peritoneal cells harvested 3 hours post intraperitoneal injection of 25 ng IL-1β in 200 µL PBS. [7] | Grieshaber-Bouyer et al. |
The Cecal Ligation and Puncture (CLP) model is a widely used and clinically relevant polymicrobial model that mimics human perforated appendicitis or diverticulitis [3] [4].
Protocol:
The intraperitoneal injection of Lipopolysaccharide (LPS), a component of the Gram-negative bacterial cell wall, provides a model for studying the initial systemic inflammatory response [5].
Protocol:
This model involves direct injection of the pro-inflammatory cytokine IL-1β to study specific aspects of the cytokine-driven inflammatory response [7].
Protocol:
Figure 2: Mouse Peritonitis Model Workflow. The diagram outlines the primary experimental models used in peritonitis research and their main applications.
The following table details essential reagents and materials used in peritonitis research, facilitating experimental reproducibility for scientists and drug developers.
Table 3: Essential Research Reagents for Peritonitis Models
| Reagent/Material | Function/Application | Example Specification |
|---|---|---|
| Lenalidomide [3] [4] | IKZF1 inhibitor used to attenuate macrophage-mediated inflammation and mitigate lung injury. | Administered to assess effects on inflammatory response. |
| Thioglycollate Broth [4] | Elicitant for recruiting macrophages to the peritoneal cavity prior to isolation. | 3% (w/v), injected intraperitoneally 3 days before cell harvest. |
| Low GDP Neutral pH PD Solution [6] | Biocompatible solution for peritoneal lavage; used to study efficacy of lavage monotherapy. | e.g., Midpeliq 135. |
| LPS (Lipopolysaccharide) [5] | Endotoxin used to induce sterile, Gram-negative bacterial-like inflammatory response. | 10 mg/kg, administered intraperitoneally. |
| Recombinant IL-1β [7] | Pro-inflammatory cytokine used to induce specific acute inflammatory response. | 25 ng in 200 µL PBS, injected intraperitoneally. |
| MSSA JCM 2413 [6] | Bacterial strain for creating lethal peritonitis models to test therapeutic interventions. | Methicillin-Susceptible S. aureus, e.g., 1x10^10 CFU for LD100 in rats. |
| Antibodies for ELISA [4] | Quantification of cytokine levels (e.g., TNF-α, IL-6, IL-1β) in lavage fluid or serum. | e.g., LEGEND MAX Mouse ELISA Kits. |
Current treatment for peritonitis in humans primarily involves broad-spectrum antibiotics and supportive care with IV fluids to prevent shock and correct fluid imbalances [2]. Surgical intervention is often required to address the underlying cause, such as repairing a perforated organ [1] [2]. For patients on peritoneal dialysis, strict hygiene protocols are critical for prevention [1].
Research from animal models is driving the development of novel therapeutic strategies. The identification of the IKZF1/HDAC3-SDHB axis suggests that targeting IKZF1 with drugs like lenalidomide or enhancing acetylation with agents like acetate could represent promising adjunct therapies to control excessive inflammation [3] [4]. Furthermore, studies demonstrating that peritoneal lavage with biocompatible PD solution significantly reduces mortality and severity in a lethal peritonitis model, even without antibiotics, challenge current clinical guidelines and suggest a potential role for mechanical cleansing in severe cases [6].
The translation of findings from mouse models to human applications is strengthened by integrated approaches. Validation of hub genes identified in mouse blood transcriptomics (e.g., LDLR, ZAP70) against single-cell RNA-sequencing datasets from human sepsis patients confirms conserved expression patterns and enhances the clinical relevance of these targets [5]. This multi-scale research strategy, combining animal models, omics technologies, and computational biology, provides a powerful framework for uncovering the complex mechanisms of peritonitis and developing more effective, targeted treatments.
Peritonitis, an inflammatory condition of the peritoneal lining, represents a life-threatening clinical challenge with mortality rates remaining as high as 20-35% despite advances in management protocols [8]. This condition arises from diverse etiologies including gastrointestinal perforation, chemical irritation, bacterial contamination, and catheter-related infections [4] [8]. The peritoneal membrane consists of a single layer of mesothelial cells overlying a vascular, lymph-rich sub-mesothelial matrix, functioning as both a physical barrier and an active immune sentinel [8]. Upon insult, resident macrophages and mesothelial cells initiate a robust inflammatory response, releasing cytokines and chemokines that recruit additional immune cells to the infection site [4] [8].
In experimental settings, mouse models of peritonitis have proven invaluable for dissecting the underlying molecular mechanisms. The most commonly employed models include lipopolysaccharide (LPS)-induced peritonitis, cecal ligation and puncture (CLP), and more recently, meconium slurry-induced peritonitis [5] [3] [9]. These models replicate key aspects of human disease and have identified three central inflammatory pathways that drive disease progression: cytokine signaling, Toll-like receptor (TLR)/NF-κB activation, and NLRP3 inflammasome assembly. Understanding the interplay between these pathways provides crucial insights for developing targeted therapeutic strategies for this devastating condition.
Cytokines serve as crucial molecular messengers that coordinate the immune response during peritonitis. Upon peritoneal injury or infection, resident macrophages and mesothelial cells rapidly release pro-inflammatory cytokines including tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-1 beta (IL-1β) [4] [8]. These cytokines function in an orchestrated cascade to amplify the inflammatory response, inducing fever, pain, vasodilation, and endothelial activation that facilitates immune cell infiltration [10] [11]. IL-1β induces the expression of genes that control fever, pain threshold, vasodilatation, and hypotension, while IL-6 serves as a potent inducer of acute phase proteins including C-reactive protein (CRP) [10] [8]. Clinical studies have demonstrated that IL-6 and IL-8 are massively elevated in the ascites of infants with meconium peritonitis, suggesting their potential utility as therapeutic targets [9].
The cytokine network exhibits both synergistic and regulatory interactions during peritonitis progression. For instance, TNF-α can stimulate the production of other cytokines including IL-1β and IL-6, creating an inflammatory amplification loop [11]. Simultaneously, anti-inflammatory cytokines such as IL-10 are upregulated to counterbalance this pro-inflammatory response and prevent excessive tissue damage [4]. The dynamic equilibrium between pro-inflammatory and anti-inflammatory cytokines ultimately determines disease severity and clinical outcomes, with persistent elevation of pro-inflammatory cytokines correlating with progression to sepsis and multiple organ dysfunction [4].
The Toll-like receptor (TLR) and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathway represents the primary signaling cascade that initiates the inflammatory response in peritonitis. TLRs are pattern recognition receptors (PRRs) that detect conserved microbial components known as pathogen-associated molecular patterns (PAMPs), such as lipopolysaccharide (LPS) from Gram-negative bacteria, as well as damage-associated molecular patterns (DAMPs) released from injured host cells [12] [10]. In peritonitis, LPS binding to TLR4 activates downstream signaling adaptors including myeloid differentiation primary response protein (MyD88) and interleukin-1 receptor-associated kinase (IRAK), ultimately leading to the nuclear translocation of NF-κB [12] [11].
Once in the nucleus, NF-κB functions as a master transcriptional regulator that upregulates the expression of numerous pro-inflammatory mediators, including cytokines (TNF-α, IL-1β, IL-6), chemokines, and adhesion molecules [10] [11]. Additionally, the TLR/NF-κB pathway provides the essential "priming signal" (Signal 1) for NLRP3 inflammasome activation by inducing the transcription of NLRP3 and pro-IL-1β [12] [10] [11]. Transcriptomic analyses of blood from LPS-induced peritonitis models have confirmed significant activation of TLR signaling pathways, along with simultaneous suppression of adaptive immunity pathways such as Th1/Th2 cell differentiation and T-cell receptor signaling [5].
The NLRP3 inflammasome is a multiprotein complex that serves as a critical platform for caspase-1 activation and subsequent maturation of IL-1β and IL-18 in response to microbial infection and cellular damage [12] [10]. The NLRP3 protein contains three domains: an N-terminal pyrin domain (PYD), a central NACHT domain that mediates oligomerization, and a C-terminal leucine-rich repeat (LRR) domain [12] [13]. In peritonitis, the NLRP3 inflammasome is activated through a meticulously regulated two-step process: priming (Signal 1) and activation (Signal 2) [12] [10] [11].
The priming step typically occurs through TLR/NF-κB signaling, which upregulates the transcription of NLRP3, pro-IL-1β, and pro-IL-18 [10] [11]. This step also involves post-translational modifications of NLRP3 that license it for subsequent activation [11] [13]. The activation step is triggered by diverse stimuli including extracellular ATP, particulate matter, bacterial toxins, and ionic fluxes, which induce NLRP3 oligomerization and recruitment of the adapter protein ASC and procaspase-1 [12] [10]. This complex formation leads to caspase-1 activation, which cleaves pro-IL-1β and pro-IL-18 into their mature, biologically active forms [12] [13]. Additionally, activated caspase-1 cleaves gasdermin D (GSDMD), whose N-terminal domain oligomerizes to form plasma membrane pores that facilitate cytokine release and trigger an inflammatory form of cell death termed pyroptosis [12] [10].
Table 1: Key Molecular Components of Major Inflammatory Pathways in Peritonitis
| Pathway | Molecular Components | Function in Peritonitis |
|---|---|---|
| Cytokine Signaling | TNF-α, IL-1β, IL-6, IL-8, IL-18 | Pro-inflammatory mediators that recruit immune cells, induce fever, pain, and acute phase response |
| TLR/NF-κB | TLR4, MyD88, IRAK, NF-κB | Pattern recognition and initiation of inflammatory gene transcription; provides "Signal 1" for inflammasome priming |
| NLRP3 Inflammasome | NLRP3, ASC, Caspase-1, NEK7 | Caspase-1 activation, IL-1β/IL-18 maturation, pyroptosis execution |
| Downstream Effectors | GSDMD, IL-1β, IL-18 | Pore formation in plasma membrane, pro-inflammatory cytokine activity, pyroptosis |
Recent research has identified the critical involvement of the NIMA-related kinase 7 (NEK7) in NLRP3 inflammasome assembly [12] [13]. NEK7 binds to NLRP3 following activation signals and facilitates the structural rearrangement that exposes PYD domains, allowing for NACHT domain oligomerization and subsequent ASC recruitment [12]. The assembled ASC filaments form a macromolecular structure termed the "ASC speck," which serves as the platform for caspase-1 activation [13]. This intricate assembly process ensures that the potent inflammatory mediators IL-1β and IL-18 are released only when appropriate signals are present, preventing excessive inflammation while effectively combating infection.
Several well-characterized mouse models of peritonitis have been developed to study the inflammatory pathways involved in disease pathogenesis. The LPS-induced peritonitis model involves intraperitoneal administration of lipopolysaccharide, typically at a dose of 10 mg/kg, which triggers a robust but transient inflammatory response characterized by neutrophil infiltration and cytokine production [5]. This model is particularly useful for studying the early innate immune response and TLR4 signaling pathways. The cecal ligation and puncture (CLP) model more closely replicates human polymicrobial sepsis secondary to peritonitis [3] [4]. In this surgical model, the cecum is ligated below the ileocecal valve and punctured with a needle to allow leakage of fecal material into the peritoneal cavity, resulting in a progressive and polymicrobial infection [4].
More recently, a neonatal mouse model of meconium peritonitis has been developed using intraperitoneal administration of human meconium slurry (MS) [9]. This model closely reflects the pathology of human neonatal meconium peritonitis, a non-infectious chemical peritonitis that occurs following fetal intestinal perforation. The model has demonstrated dose-dependent mortality, with an LD40 established at 200 µL per pup, and is characterized by substantial hematological and hepatorenal abnormalities along with increased inflammatory gene expression [9]. Importantly, this model has revealed that the pathogenic agent in meconium is primarily digestive enzymes rather than bacterial components, as antibiotic treatment was ineffective while enzymatic inactivation improved survival rates [9].
Table 2: Comparison of Mouse Models of Peritonitis
| Model Type | Induction Method | Key Features | Applications |
|---|---|---|---|
| LPS-Induced | Intraperitoneal injection of LPS (10 mg/kg) | Rapid inflammation, neutrophil infiltration, cytokine release | Study of early innate immune responses, TLR4 signaling, neutrophil recruitment |
| Cecal Ligation and Puncture (CLP) | Surgical ligation and puncture of cecum | Polymicrobial infection, progressive sepsis, systemic inflammation | Modeling human sepsis, antibiotic efficacy studies, long-term outcomes |
| Meconium Slurry | Intraperitoneal administration of human meconium slurry | Chemical peritonitis, sterile inflammation, digestive enzyme-mediated damage | Neonatal meconium peritonitis pathophysiology, sterile inflammatory processes |
Purpose: To establish a reproducible model of acute sterile inflammation for studying innate immune responses and early cytokine production.
Materials:
Procedure:
Notes: This model produces robust neutrophil infiltration within 6 hours, peaking at 12-18 hours, with parallel increases in TNF-α, IL-6, and IL-1β levels [5]. The inflammatory response typically resolves within 48-72 hours.
Purpose: To establish a clinically relevant model of polymicrobial sepsis secondary to peritonitis for studying systemic inflammatory response and organ dysfunction.
Materials:
Procedure:
Notes: The severity of sepsis can be modulated by varying the needle size (larger for more severe) or the percentage of cecum ligated [3] [4]. This model produces a progressive inflammatory response with significant cytokine production, immune cell infiltration, and organ dysfunction that mimics human sepsis.
NLRP3 Inflammasome Activation Pathway: This diagram illustrates the two-signal mechanism of NLRP3 inflammasome activation. Signal 1 (priming) through TLR/NF-κB signaling upregulates NLRP3 and pro-IL-1β transcription. Signal 2 (activation) via diverse stimuli triggers NLRP3 oligomerization and NEK7 binding, leading to inflammasome assembly, caspase-1 activation, and subsequent IL-1β/IL-18 maturation and pyroptosis [12] [10] [11].
Table 3: Essential Research Reagents for Peritonitis Studies
| Reagent Category | Specific Examples | Research Application | Key Findings Using Reagent |
|---|---|---|---|
| NLRP3 Inhibitors | MCC950, CY-09, Lenalidomide | Specific inhibition of NLRP3 inflammasome assembly | Lenalidomide (IKZF1 inhibitor) attenuates inflammatory responses and mitigates lung injury in CLP [3] |
| Cytokine Antibodies | Anti-IL-1β, Anti-TNF-α, Anti-IL-6 | Neutralization of specific cytokines | IL-1 antagonists reverse inflammation in cryopyrin-associated periodic syndromes [14] |
| TLR4 Signaling Inhibitors | TAK-242, LPS-RS, CLI-095 | Blockade of TLR4 signaling pathway | Inhibition prevents priming signal for NLRP3 inflammasome [11] |
| Caspase-1 Inhibitors | VX-765, Z-YVAD-FMK | Inhibition of caspase-1 activity | Blocks maturation of IL-1β and IL-18 [10] [13] |
| ROS Scavengers | Mito-TEMPO, N-acetylcysteine | Reduction of mitochondrial ROS | Attenuates NLRP3 activation signal [10] [11] |
| Ion Channel Modulators | Glybenclamide, Nigericin | Modulation of K+ efflux | Glybenclamide inhibits NLRP3 activation; Nigericin activates via K+ efflux [10] [13] |
| Transcriptional Profiling | RNA-seq kits, PCR arrays (e.g., Mouse Inflammatory Cytokines & Receptors) | Gene expression analysis | Identified 290 DEGs (242 up-regulated, 48 down-regulated) in LPS-induced peritonitis [5] |
The intricate interplay between cytokine networks, TLR/NF-κB signaling, and NLRP3 inflammasome activation creates a complex inflammatory milieu that drives disease progression in peritonitis. Recent research has revealed novel regulatory mechanisms, including the role of IKZF1 in exacerbating macrophage inflammation through epigenetic modulation of mitochondrial function in CLP-induced peritonitis [3] [4]. IKZF1 expression is significantly upregulated in macrophages during peritonitis, where it directly represses SDHB expression by recruiting HDAC3 to deacetylate SDHB, leading to mitochondrial dysfunction and amplified inflammation [4]. This finding establishes an IKZF1/HDAC3-SDHB-succinate axis driving macrophage hyperactivation and identifies IKZF1 as a potential biomarker and therapeutic target [3].
From a translational perspective, targeting these inflammatory pathways holds significant promise for clinical intervention. The NLRP3 inflammasome, in particular, represents an attractive therapeutic target given its central role in processing and releasing mature IL-1β and IL-18 [12] [13]. Several small molecule inhibitors targeting different stages of NLRP3 inflammasome activation have shown efficacy in preclinical models of inflammatory diseases [13]. These include compounds that inhibit NEK7-NLRP3 interaction, disrupt ASC speck formation, or block caspase-1 activity [12] [13]. Additionally, the discovery that disassembly of the trans-Golgi network serves as a common cellular event triggering NLRP3 activation in response to diverse stimuli provides new opportunities for therapeutic intervention [12].
Future research directions should focus on elucidating the cell type-specific roles of NLRP3 in peritonitis pathogenesis. While the NLRP3 inflammasome is well-established in myeloid cells, its expression and functionality in non-immune cells, including mesothelial cells, remains controversial [14]. Unbiased transcriptome data sets often report the absence of NLRP3 inflammasome-related transcripts in non-myeloid cells, despite numerous experimental studies reporting NLRP3 expression and activity in these cells [14]. Resolving this discrepancy will require sophisticated cell type-specific knockout models and single-cell transcriptomic analyses of peritoneal tissues during inflammation. Additionally, further investigation is needed to understand the inflammasome-independent functions of NLRP3, such as its role in regulating TGF-β signaling and fibrosis, which may contribute to long-term complications of peritonitis including adhesion formation [14].
In conclusion, the inflammatory pathways in peritonitis represent a complex but orchestrated response to peritoneal injury and infection. A comprehensive understanding of these pathways, particularly the two-signal mechanism of NLRP3 inflammasome activation, provides valuable insights for developing targeted therapeutic strategies. The integration of biomarker profiling with mechanistic studies promises a new era of precision medicine in secondary peritonitis, enabling risk-adapted interventions and improved patient outcomes.
Peritonitis, the inflammation of the peritoneal membrane, initiates a complex cellular response crucial for host defense and tissue repair. The pathophysiology involves a tightly coordinated interaction between immune cells and stromal components, primarily driven by macrophages, neutrophils, and fibroblasts [15] [16]. In mouse models of peritonitis, understanding the roles and interactions of these cells is fundamental for evaluating inflammatory responses and screening potential therapeutic interventions. Macrophages act as central orchestrators of the immune response, neutrophils are the first responders that infiltrate the site of injury, and fibroblasts are the key effectors of tissue remodeling and fibrosis [15] [16] [17]. The dysregulation of these cellular processes can lead to persistent inflammation and peritoneal fibrosis, a serious complication that can cause ultrafiltration failure and necessitate the discontinuation of peritoneal dialysis (PD) [15]. This application note details the mechanisms, protocols, and analytical tools for studying these cellular players in the context of a mouse peritonitis model.
Macrophages exhibit remarkable plasticity, allowing them to adopt different functional phenotypesâor polarization statesâin response to microenvironmental signals. This plasticity is central to their role in peritonitis and its outcomes [15].
Activation and Polarization: Macrophages are broadly categorized into classically activated (M1) and alternatively activated (M2) phenotypes.
Role in Fibrosis: In prolonged peritoneal dialysis, macrophage infiltration and polarization are key contributors to pathology. They show a strong correlation with the epithelial-to-mesenchymal transition (EMT) of mesothelial cells and directly drive the fibrotic process [15]. M2 macrophages, particularly, are implicated in the production of pro-fibrotic factors that stimulate fibroblasts and lead to excessive extracellular matrix (ECM) deposition [15] [16].
Neutrophils are the most abundant leukocytes in human blood and are among the first immune cells to be recruited to the site of inflammation during peritonitis [17] [5].
The generation and activity of myofibroblasts are central events in the induction of peritoneal fibrosis [16].
The following tables consolidate key quantitative findings from recent research on cellular mechanisms in mouse peritonitis models.
Table 1: Transcriptomic Profile in LPS-Induced Peritonitis Mouse Model
| Parameter | Measurement | Details/Methodology |
|---|---|---|
| Differentially Expressed Genes (DEGs) | 290 Total | 242 upregulated, 48 downregulated [5] |
| Activated Pathways | NOD-like receptor, Toll-like receptor, Apoptosis, Phagocytosis | Bioinformatics analysis of RNA-seq data [5] |
| Inhibited Pathways | Th1/Th2 cell differentiation, T cell receptor signaling | Bioinformatics analysis of RNA-seq data [5] |
| Identified Hub Proteins | 8 Proteins | LDLR, FNBP1L, SNX18, FAM20C, INPP5F, PACSIN1, ZAP70, SYNJ2; structural stability confirmed via 300 ns molecular dynamics [5] |
Table 2: Neutrophil Dynamics in TNF-α-Induced Mouse Peritonitis Model
| Parameter | Measurement | Details/Methodology |
|---|---|---|
| Circulating Neutrophil Increase | Significant increase | Peaked at ~20 min post i.p. TNF-α injection, monitored by In Vivo Flow Cytometry (IVFC) [17] |
| CD64 Expression on Neutrophils | Significant increase | Measured via flow cytometry and in vivo IVFC with fluorescent antibodies [17] |
| Effect of CD18 Blockade | Doubled circulating neutrophil count | Suggests critical role for CD18 in neutrophil recruitment from vasculature [17] |
Table 3: Macrophage Polarization States and Functions
| Phenotype | Inducing Stimuli | Key Markers | Primary Functions & Secreted Factors |
|---|---|---|---|
| M1 | IFN-γ, TNF-α, LPS | TLR2/4, CD80/86, iNOS, MHCII | Pro-inflammatory; host defense; secretes TNF-α, IL-6, IL-12, IL-23, NO [15] |
| M2a | IL-4, IL-13 | CD206, CD163, Arg1 | Tissue repair; secretion of CCL17, CCL18, CCL24 [15] |
| M2b | Immune complexes, TLR agonists | CD86, MHC-II | Immunoregulation; secretes IL-1β, IL-6, IL-10, TNF-α [15] |
| M2c | IL-10, TGF-β, glucocorticoids | CD206, CD163, MERTK | Anti-inflammatory, tissue remodeling; secretes IL-10, TGF-β [15] |
| M2d | IL-6, M-CSF, TLR agonists | CD80, CD86, MHC-II | Angiogenesis, immunosuppression; secretes IL-10, TGF-β, CXCL10 [15] |
This protocol details the use of in vivo flow cytometry (IVFC) to monitor LysM-EGFP-labeled circulating myeloid cells (primarily neutrophils) in a TNF-α-induced mouse peritonitis model [17].
This protocol describes a non-surgical model of sterile chemical peritonitis using human meconium, which is distinct from infectious sepsis models [18].
Diagram 1: Key Signaling Pathways in Mouse Peritonitis. This diagram illustrates the primary signaling cascades driving macrophage polarization and neutrophil recruitment in response to inflammatory stimuli like LPS and TNF-α, and their subsequent role in tissue repair and fibrosis [15] [17].
Diagram 2: IVFC Workflow for Neutrophil Dynamics. This workflow outlines the key steps for non-invasive monitoring of circulating myeloid cells in a live mouse model of peritonitis using intravital flow cytometry (IVFC) [17].
Table 4: Essential Research Reagents for Mouse Peritonitis Studies
| Reagent | Function/Application | Example Usage in Protocol |
|---|---|---|
| Lipopolysaccharide (LPS) | Induces robust immune response by binding to TLR4; used to establish inflammatory peritonitis. | i.p. injection at 10 mg/kg to induce systemic inflammation and transcriptomic changes in blood [5]. |
| Recombinant TNF-α | Pro-inflammatory cytokine; used to induce neutrophil recruitment and sterile inflammation. | i.p. injection of 0.5 µg in 200 µL PBS to model TNF-α-driven peritonitis and neutrophil dynamics [17]. |
| LysM-EGFP Transgenic Mice | Genetically modified model where myeloid cells (neutrophils, macrophages) express EGFP for tracking. | Enables real-time IVFC monitoring and flow cytometric identification of circulating and infiltrating myeloid cells [17]. |
| CD18 Blocking Antibody | Inhibits neutrophil adhesion and extravasation; used to study recruitment mechanisms. | Retro-orbital injection of 100 µg to demonstrate the role of CD18 in neutrophil migration to the peritoneum [17]. |
| Human Meconium Slurry (MS) | Sterile, enzyme-rich slurry; induces chemical peritonitis distinct from live bacterial infection. | i.p. administration in neonatal mice (LD40 = 200 µL/pup) to model meconium peritonitis pathology [18]. |
| Fluorescent Conjugated Antibodies | Cell surface and intracellular staining for phenotyping via flow cytometry. | e.g., Anti-Ly6G (neutrophils), Anti-CD64 (activation), Anti-CD206 (M2 macrophages) [17]. |
| Rhodamine B-Dextran | High molecular weight fluorescent tracer; outlines blood vessels for IVFC. | Retro-orbital injection to visualize vasculature during line-scanning IVFC measurements [17]. |
| Cas9-IN-3 | Cas9-IN-3|Potent Cas9 Nuclease Inhibitor | Cas9-IN-3 is a cell-permeable inhibitor of the Cas9 nuclease. It controls CRISPR/Cas9 genome editing activity. For Research Use Only. Not for human use. |
| c-ABL-IN-2 | c-ABL-IN-2, MF:C21H20N4O, MW:344.4 g/mol | Chemical Reagent |
Mouse peritonitis models are indispensable tools in biomedical research, serving as critical early in vivo screening systems for evaluating inflammatory responses and therapeutic efficacy of novel compounds [19] [20]. These models simulate the complex pathophysiology of peritoneal inflammation, enabling researchers to investigate innate immune mechanisms, leukocyte trafficking, and systemic inflammatory cascades. The historical significance of these models is profound, as the mouse peritonitis model was the first experimental animal system used in antibiotic research, demonstrating the efficacy of Prontosil and derivative sulphonamides against Streptococcus pyogenes in 1935 [19]. Since then, these models have evolved to encompass a diverse array of induction methods, each tailored to address specific research questions within immunology, infectious diseases, and drug development.
The utility of mouse peritonitis models stems from several practical advantages: they utilize small, cost-effective animals that are easy to maintain; they produce highly reproducible infections; and they offer straightforward experimental endpoints such as survival monitoring and bacterial quantification [20]. Furthermore, the ability to customize these models through various induction methods, mouse strains, and adjunctive agents makes them exceptionally versatile for studying different facets of inflammatory responses. This application note provides a comprehensive classification and methodological overview of the major mouse peritonitis models, detailing their applications, standardized protocols, and associated analytical approaches to guide researchers in selecting and implementing the most appropriate system for their investigative needs.
Mouse peritonitis models can be broadly categorized based on the method of inflammatory induction. The table below summarizes the primary model classifications, their induction agents, key characteristics, and major research applications.
Table 1: Classification of Major Mouse Peritonitis Models
| Model Type | Inducing Agent | Key Characteristics | Primary Applications | Example Strains |
|---|---|---|---|---|
| Chemical Induction [21] [22] [5] | Zymosan, Thioglycollate, LPS | - Non-infectious, sterile inflammation- Highly reproducible & tunable- Peaks within hours | - Study of leukocyte recruitment & migration- Analysis of soluble mediator networks- Screening anti-inflammatory drugs | BALB/c, C57BL/6 |
| Bacterial Induction (Non-Resistant) [23] [24] | Live bacteria (e.g., E. coli, MRSA) | - Mimics natural infection- Allows bacterial load enumeration- Can progress to sepsis | - Evaluation of antimicrobial drug efficacy- Host-pathogen interaction studies- Vaccine research | Kunming, BALB/c |
| Bacterial Induction (Drug-Resistant) [25] [26] | Carbapenem-resistant Gram-negative bacteria, MRSA | - Models difficult-to-treat infections- Often requires virulence enhancers (e.g., mucin)- High mortality rate | - Testing novel antibiotics against MDR pathogens- PK/PD studies for last-resort drugs | BALB/c, ICR |
| Lethal Bacteremia Model [19] [20] | High virulence bacteria (e.g., S. pneumoniae) | - Naturally virulent in mice- Death/survival as primary endpoint- Does not require immunocompromised hosts | - Early-stage in vivo antibiotic screening- Determination of protective/curative doses | Various |
The choice of a specific peritonitis model is dictated by the research objectives. For dissecting fundamental mechanisms of innate immunity and leukocyte biology, chemical induction models are ideal due to their sterility and reproducibility [21] [22]. The zymosan-induced model, for instance, is characterized by a rapid inflammatory response that peaks within a few hours and can be resolved, allowing for the study of both inflammation initiation and resolution phases [21].
When the goal is to evaluate the in vivo efficacy of therapeutic agents, bacterial induction models are more appropriate. For standard pathogens, standard models suffice [23], but for the critical pre-clinical testing of new antimicrobials against multidrug-resistant (MDR) organisms, specialized models that incorporate clinical isolates of carbapenem-resistant Gram-negative bacilli or MRSA are essential [25] [24]. A key technical consideration for these models is the frequent use of virulence-enhancing agents. The addition of hog gastric mucin (typically at 3-4% concentration) is a well-established method to overcome the natural resistance of mice to many human pathogens, ensuring consistent and lethal infection necessary for robust therapeutic testing [25] [26] [24].
This protocol induces a sterile, acute inflammatory response, ideal for studying basic immunology and pharmacodynamics of anti-inflammatory compounds [21].
This protocol is designed for establishing a lethal infection with drug-resistant clinical isolates, crucial for antimicrobial efficacy testing [25] [26].
The following diagram illustrates the workflow for establishing and analyzing a bacterial peritonitis model.
This model is used to study systemic gene expression changes in response to localized inflammation [5].
Successful execution of peritonitis studies requires a standardized set of core reagents and materials. The following table lists critical components for model establishment and analysis.
Table 2: Essential Reagents and Materials for Mouse Peritonitis Models
| Category/Item | Specific Examples | Function & Application |
|---|---|---|
| Inflammatory Inducers | Zymosan (from yeast) [21], Thioglycollate [22], Ultrapure LPS [5] | Induces sterile inflammation for studying leukocyte migration and mediator release. |
| Virulence Enhancer | Hog Gastric Mucin (Type III) [25] [26] [24] | Impairs host clearance mechanisms, enabling lethal infection with clinical bacterial isolates. |
| Bacterial Strains | Carbapenem-resistant E. coli, K. pneumoniae [25], MRSA (e.g., NRS71) [24] | Clinical isolates used to model difficult-to-treat human infections for antibiotic testing. |
| Assay Kits | ELISA Kits (for TNF-α, IL-1β, IL-6, etc.) [21] | Quantifies cytokine and chemokine levels in peritoneal wash fluid or serum. |
| Flow Cytometry Antibodies | Anti-mouse Ly6G (neutrophils), CD115, Gr-1, CCR3, Siglec-F [21] [17] | Identifies and quantifies infiltrating leukocyte populations (e.g., PMNs, macrophages, eosinophils). |
| Lavage & Culture Media | Hank's Balanced Salt Solution (HBSS) [22], Phosphate-Buffered Saline (PBS) [25], Mueller-Hinton Broth [25] | Used for peritoneal lavage, bacterial culture, and as a vehicle/diluent for injections. |
| Treprostinil-d9 | Treprostinil-d9, MF:C23H34O5, MW:399.6 g/mol | Chemical Reagent |
| Irak4-IN-21 | Irak4-IN-21, MF:C28H28FN7O2, MW:513.6 g/mol | Chemical Reagent |
A key strength of mouse peritonitis models is the breadth of analytical endpoints that can be measured to quantify the inflammatory response and therapeutic effects.
The signaling pathways activated in peritonitis are complex. The following diagram summarizes the key pathways and cellular responses identified through transcriptomic and molecular analyses.
Mouse models of peritonitis are indispensable tools for investigating the pathophysiology of inflammatory responses and evaluating potential therapeutic interventions. The choice of a specific model is crucial, as it must accurately reflect the research objectives, whether related to infectious peritonitis, sterile chemical inflammation, or the complex interplay between metabolism and immunity. This application note provides a structured comparison of established murine peritonitis models, detailed protocols for their implementation, and guidance for matching scientific questions to the appropriate experimental system.
Selecting the correct peritonitis model is the first critical step in designing a scientifically sound experiment. The table below summarizes the key characteristics of four commonly used models to aid in this selection process.
Table 1: Characteristics of Different Mouse Peritonitis Models
| Model Name | Primary Induction Method | Type of Inflammation | Key Research Applications | Key Inflammatory Readouts |
|---|---|---|---|---|
| Cecal Slurry (CS) Model [9] | Intraperitoneal injection of cecal content suspension | Polymicrobial Sepsis, Infectious | Sepsis pathophysiology, antibiotic efficacy testing, immune responses to live bacteria | Survival rates, bacterial load (CFU), plasma cytokines (IL-6, TNF-α), hematological parameters [9] |
| Meconium Slurry (MS) Model [9] | Intraperitoneal injection of human meconium | Sterile, Chemical Peritonitis | Neonatal meconium peritonitis, sterile inflammatory cascades, digestive enzyme-mediated pathology | Survival rates, histopathology of peritoneal organs, serum biochemistry (liver/kidney function), inflammatory gene expression (PCR array) [9] |
| Cecal Ligation and Puncture (CLP) [27] | Surgical ligation and puncture of the cecum | Polymicrobial Sepsis, Infectious | Gold-standard for sepsis and septic shock, drug efficacy, immune cell recruitment and function | Cytokine levels in lavage fluid (ELISA), lung injury (histology), immune cell phenotyping, organ failure assessment [27] |
| Hog Gastric Mucin Model [26] | Intraperitoneal co-injection of bacteria with mucin | Monomicrobial, Infectious | Pathogenesis studies of specific clinical isolates (e.g., carbapenem-resistant bacteria), virulence studies | Survival rates, bacterial load (CFU), efficacy of antimicrobial agents [26] |
This protocol generates a neonatal mouse model that closely reflects the pathology of human meconium peritonitis, a life-threatening condition in the perinatal period [9].
The following diagram illustrates the workflow for establishing and analyzing the meconium peritonitis model.
The CLP model is a widely accepted gold standard for studying polymicrobial sepsis and subsequent inflammatory responses [27].
The table below lists essential reagents used in peritonitis research, along with their specific functions and application contexts.
Table 2: Essential Reagents for Peritonitis Research
| Reagent | Function/Application | Example Usage in Protocols |
|---|---|---|
| Hog Gastric Mucin | Virulence-enhancing factor; inhibits bacterial clearance | Used at 3% concentration mixed with bacterial inoculum to establish monomicrobial infection with clinical isolates [26]. |
| Thioglycollate Broth | Inflammatory eliciting agent | Injected intraperitoneally (3%, w/v) to recruit macrophages for harvesting and subsequent in vitro studies [27]. |
| Lenalidomide | IKZF1 transcription factor inhibitor | Used in CLP models to investigate mechanisms of macrophage-mediated inflammation, e.g., administered to attenuate inflammatory response [27]. |
| Phosphate-Buffered Saline (PBS) | Isotonic solution for dilutions and lavage | Used as a diluent for meconium slurry preparation and for peritoneal lavage to collect immune cells [9] [27]. |
| Collagenase I | Enzyme for tissue digestion | Used to enzymatically digest the omentum to create single-cell suspensions for single-cell RNA sequencing analysis [28]. |
| Fequesetide | Fequesetide, MF:C36H66N10O13, MW:847.0 g/mol | Chemical Reagent |
| Anticancer agent 61 | Anticancer Agent 61|RUO | Anticancer agent 61 is a novel, potent compound for cancer research. It inhibits the TFAP4/Wnt/β-catenin pathway. For Research Use Only. Not for human use. |
Understanding the molecular pathways driving inflammation is key to developing targeted therapies. Recent research highlights the role of the IKZF1/HDAC3-SDHB-succinate axis in macrophage hyperactivation during CLP-induced peritonitis [27].
The following diagram illustrates this key signaling pathway identified in macrophage hyperactivation during peritonitis.
Pathway Description: In macrophages during CLP-induced peritonitis, inflammatory stimuli (e.g., LPS) lead to upregulation of the transcription factor IKZF1. IKZF1 recruits histone deacetylase 3 (HDAC3) to the promoter of SDHB, a key subunit of mitochondrial complex II. This recruitment results in SDHB deacetylation and subsequent repression of its expression. The loss of SDHB disrupts the mitochondrial electron transport chain, causing succinate accumulation, elevated ROS, and reduced ATP. This metabolic dysfunction amplifies the pro-inflammatory response, leading to increased production of IL-1β, IL-6, and TNF-α, and ultimately exacerbating tissue injury, such as in the lungs [27].
Mouse models of peritonitis are indispensable tools for studying the pathophysiology of sepsis and systemic inflammatory responses. Among these, Fecal-Induced Peritonitis (FIP) and Cecal Ligation and Puncture (CLP) represent two widely utilized polymicrobial sepsis models that closely mimic human intra-abdominal infections. These models facilitate the investigation of complex immune pathways, organ dysfunction, and potential therapeutic interventions in a controlled laboratory setting. The FIP model involves the direct intraperitoneal injection of a standardized fecal slurry, creating a reproducible polymicrobial challenge [29]. In contrast, the CLP model combines tissue ischemia and bacterial leakage through surgical ligation and puncture of the cecum, generating a more gradual onset of peritonitis [30] [31]. Both models trigger a systemic inflammatory response characterized by cytokine release, immune cell activation, and eventual organ failure, providing critical platforms for evaluating inflammatory mechanisms and treatment strategies. This protocol outlines standardized methodologies for both approaches, emphasizing practical implementation within the context of preclinical sepsis research.
The choice between FIP and CLP depends on the specific research objectives, technical expertise, and desired disease progression characteristics. The table below provides a systematic comparison of these models to guide appropriate experimental selection.
Table 1: Comparative Analysis of FIP and CLP Murine Sepsis Models
| Feature | Fecal-Induced Peritonitis (FIP) | Cecal Ligation and Puncture (CLP) |
|---|---|---|
| Core Principle | Intraperitoneal injection of prepared fecal slurry [29] | Surgical ligation and puncture of the cecum [30] [31] |
| Inflammatory Drivers | Polymicrobial infection without significant tissue necrosis [29] | Polymicrobial infection combined with ischemic/necrotic tissue [30] |
| Key Advantages | High reproducibility; less operator-dependent; minimal surgical trauma; easily standardized for multi-laboratory studies [29] | Clinically relevant progression; includes an ischemic tissue component; established as a gold standard for polymicrobial sepsis [30] [31] |
| Technical Complexity | Moderate (requires slurry preparation) | High (requires survival surgery and aseptic technique) |
| Disease Onset | Rapid, acute | More gradual, subacute |
| Severity Control | Modulating fecal slurry dose (e.g., 0.5-2.5 mg/g) [29] [32] | Modulating ligation length (>1 cm for high severity) and needle gauge (e.g., 19G-27G) [30] [31] |
| Typical Mortality | Adjustable with dose (e.g., 60-89% with 0.75 mg/g) [29] [32] | Adjustable with technique (e.g., 55-100% with 19G needle and long ligation) [31] |
| Recommended Applications | High-throughput therapeutic screening, immunology studies, multi-center trials [29] | Studies of sepsis with ischemic component, long-term survival, and therapeutic timing [30] |
Critical parameters from published studies utilizing these models are consolidated below to inform experimental design and expectation of outcomes.
Table 2: Quantitative Experimental Data from Preclinical Studies
| Study Focus | Model & Parameters | Key Quantitative Findings | Citation |
|---|---|---|---|
| Model Development & Multi-lab Variation | FIP (Fecal Slurry: 0.75 mg/g) | ⢠Mortality: 60% (Site 1) vs. 88% (Site 2)⢠Early Antibiotics (4h): 100% survival⢠Late Antibiotics (12h): Significant mortality | [29] |
| Aging and Sepsis Susceptibility | FIP (0.75 mg/g in young vs. aged mice) | ⢠Mortality: 42% (Young) vs. 89% (Aged)⢠Aged mice exhibited increased inflammation and lung injury | [32] |
| Technical Severity Modulation in CLP | CLP (Ligation length and needle size) | ⢠Ligation >1 cm: ~100% mortality in <3 days⢠Needle 19G (2 punctures): 55-60% survival⢠Needle 22G: 100% survival | [31] |
| Scoring and Prediction | FIP (90 mg/mL slurry concentration) | ⢠MSS ⥠3: 100% specificity for predicting death within 24h⢠Mortality: 75% at 24 hours | [33] |
The following workflow diagram summarizes the key decision points and procedures for both the FIP and CLP models.
Figure 1: Experimental workflow for FIP and CLP models, highlighting key procedural steps and post-operative care.
Table 3: Key Reagents and Materials for FIP and CLP Models
| Category | Item | Specification / Example | Critical Function |
|---|---|---|---|
| Animal Model | Mouse Strain | C57BL/6 (8-12 weeks old) [29] [33] | Standardized genetic background for reproducible immune responses. |
| Anesthesia & Analgesia | Isoflurane | 3.5-4.5% for induction, 1.5-2% for maintenance [30] | Provides stable and reversible surgical anesthesia. |
| Buprenorphine | 0.05-0.2 mg/kg, subcutaneously, q12h [30] [31] | Opioid analgesic for post-operative pain management. | |
| Surgical Materials (CLP) | Suture | 4-0 or 5-0 Silk for cecal ligation [30] [31] | Provides secure ligation of the cecum. |
| Needles | 19-27 gauge for cecal puncture [30] [31] | Controls severity of peritonitis; larger gauge increases lethality. | |
| Wound Clips | 7mm auto-clips [31] | For rapid and consistent skin closure. | |
| Supportive Care | Fluids | Sterile 0.9% Saline or Ringer's Lactate [29] [31] | Fluid resuscitation to counter hypovolemia. |
| Antibiotics | Piperacillin-Tazobactam or Imipenem [29] | Mimics clinical standard of care; timing affects outcomes. | |
| Assessment Tools | Murine Sepsis Score (MSS) | 7-parameter clinical score [33] | Standardized metric for monitoring sepsis severity and predicting outcomes. |
| AChE-IN-11 | AChE-IN-11, MF:C18H28N2O4, MW:336.4 g/mol | Chemical Reagent | Bench Chemicals |
| Tau-aggregation-IN-1 | Tau-aggregation-IN-1|Inhibitor | Tau-aggregation-IN-1 is a potent tau protein aggregation inhibitor for Alzheimer's disease research. For Research Use Only. Not for human or veterinary use. | Bench Chemicals |
The Murine Sepsis Score is a validated clinical assessment tool for monitoring disease progression, with high specificity for predicting mortality [33]. The system evaluates seven parameters: spontaneous activity, response to touch, response to auditory stimulus, posture, respiration rate, respiration quality, and appearance (piloerection). Each parameter is scored from 0 (normal/healthy) to 4 (severely compromised), generating a cumulative score. An MSS ⥠3 has 100% specificity for predicting death within 24 hours, providing a robust, ethically sound endpoint for intervention or euthanasia [33].
The FIP and CLP models are robust and complementary systems for investigating peritonitis and systemic inflammation. The FIP model offers superior standardization and is ideal for high-throughput studies of immune responses and therapeutic efficacy, while the CLP model provides high clinical relevance with its combination of infection and ischemia. Adherence to the detailed protocols for model induction, post-procedural care, and objective assessment using tools like the MSS is paramount for generating valid, reproducible, and ethically conducted preclinical data. Mastery of these models provides a powerful foundation for advancing our understanding of sepsis and evaluating novel anti-inflammatory strategies.
Within the broader investigation of inflammatory responses, mouse peritonitis models represent a cornerstone methodology for dissecting the complex cellular and molecular pathways of innate immunity. These models are indispensable for evaluating novel therapeutic agents and understanding the fundamental biology of inflammation. Among the various approaches, non-infectious modelsâspecifically those induced by Lipopolysaccharide (LPS), Zymosan, and Mechanical Scrapingâprovide controlled, reproducible, and highly informative systems for research and drug development. This article details the application and protocols for these three key models, providing a structured resource for scientists to select and implement the most appropriate system for their investigative needs.
The choice of peritonitis model is critical and depends on the specific research questions, whether they pertain to acute neutrophil-driven inflammation, sterile fungal-mimetic responses, or injury-induced fibrosis. The following table provides a direct comparison of the three featured models to guide researchers in their selection.
Table 1: Comparative Overview of Non-Infectious Mouse Peritonitis Models
| Feature | LPS-Induced Model | Zymosan-Induced Model | Mechanical Scraping Model |
|---|---|---|---|
| Inducing Agent | Lipopolysaccharide (LPS), a component of Gram-negative bacterial outer membrane [34] [35] | Zymosan A, a yeast cell wall derivative [36] [37] [38] | Physical scraping of the parietal peritoneum [39] |
| Primary Inflammation Type | Innate immune activation via TLR4 signaling pathway [35] | Sterile, fungal-mimetic inflammation; complement activation [39] [40] | Sterile injury with robust wound-healing response [39] |
| Key Characteristics | Rapid, strong cytokine release (TNF-α, IL-6, IL-1β); high neutrophil influx [35] | Self-resolving acute inflammation; sequential recruitment of neutrophils and monocytes/macrophages [39] [37] | Direct tissue damage leading to fibrosis and neoangiogenesis; models chronic peritoneal injury [39] |
| Typical Time Course | Peak inflammation at 4-6 hours post-injection [34] [35] | Peak neutrophil influx at 4 hours; resolution phase studied over days [36] [39] | Neutrophil infiltration at 6-24h; fibrosis and angiogenesis evident from days 7-14 [39] |
| Ideal For | Studying cytokine storms, TLR4 signaling, acute innate immunity, and septic shock [35] | Investigating resolution of inflammation, leukocyte recruitment, macrophage function, and phagocytosis [37] [40] | Research into peritoneal fibrosis, ultrafiltration failure, and long-term structural remodeling [39] |
The LPS-induced peritonitis model is a quintessential system for studying acute sterile inflammation driven by the Toll-like Receptor 4 (TLR4) pathway. LPS, a potent pathogen-associated molecular pattern (PAMP), reliably elicits a robust innate immune response characterized by the rapid production of pro-inflammatory cytokines and a significant influx of neutrophils into the peritoneal cavity [35]. This model is extensively used to screen anti-inflammatory compounds, investigate the pathogenesis of sepsis, and delineate the TLR4 signaling cascade and its downstream effects. The ability to induce a highly reproducible and synchronized inflammatory burst makes this model a staple in immunology and pharmacology research.
Materials:
Procedure:
The inflammatory response in this model is primarily mediated by the TLR4 pathway. The diagram below illustrates the core signaling cascade.
Figure 1: LPS-Induced TLR4 Signaling Pathway. LPS binding to TLR4 recruits the adaptor protein MyD88, leading to the activation of NF-κB and subsequent transcription of pro-inflammatory cytokines (TNF-α, IL-6, IL-1β). These cytokines are released into the peritoneum, driving the recruitment of neutrophils. The TLR4-specific inhibitor TAK-242 can block this signaling cascade [35].
The zymosan-induced peritonitis model is a well-established system for studying sterile, fungal-mimetic inflammation and the physiological process of inflammatory resolution. Zymosan, derived from yeast cell walls, activates the complement system and engages various pattern recognition receptors on immune cells, including decin-1 and TLR2 [39] [38] [40]. This triggers a self-resolving inflammatory cascade characterized by a defined sequence of leukocyte recruitment: an initial wave of neutrophils is followed by monocytes and macrophages [37]. This model is particularly valuable for researching the mechanisms of leukocyte trafficking, macrophage phagocytosis, and the pro-resolving actions of novel therapeutic compounds [37] [40].
Materials:
Procedure:
Zymosan triggers a complex inflammatory response, with the NF-κB pathway playing a central role in the production of key mediators.
Figure 2: Zymosan-Induced Inflammatory and Resolution Pathway. Zymosan engagement of PRRs leads to NF-κB activation and the production of cytokines and chemokines, which drive neutrophil recruitment. The inflammation naturally resolves through neutrophil apoptosis and subsequent clearance by macrophages. Compounds like Forsythoside A (FTA) can accelerate resolution by inhibiting NF-κB activation [36].
The mechanical scraping model is a unique non-infectious system designed to mimic the peritoneal injury, fibrosis, and neoangiogenesis associated with long-term peritoneal dialysis (PD) and repeated episodes of peritonitis [39]. Unlike the transient inflammation seen with LPS or zymosan, this model induces a sustained wound-healing response that leads to permanent structural changes in the peritoneal membrane. It is therefore an indispensable tool for investigating the pathogenesis of peritoneal fibrosis, encapsulating peritoneal sclerosis (EPS), and for evaluating therapeutic interventions aimed at preventing or reversing maladaptive tissue remodeling [39].
Materials:
Procedure:
The scraping model follows a defined sequence of histological events, from acute injury to chronic fibrosis.
Figure 3: Time Course of Pathological Changes in the Scraping Model. The model progresses from acute neutrophil infiltration to a macrophage-dominated phase, culminating in submesothelial fibrosis and the formation of new blood vessels, closely mimicking the chronic changes seen in long-term PD patients [39].
Successful execution of peritonitis models relies on key reagents. The following table lists critical materials and their applications in the featured protocols.
Table 2: Key Research Reagents for Peritonitis Models
| Reagent | Function/Application | Example Usage in Protocols |
|---|---|---|
| LPS (E. coli) | TLR4 agonist; induces potent acute inflammation and cytokine storm [34] [35] | i.p. injection at 10 mg/kg to model septic shock [35] |
| Zymosan A | Yeast wall particle; induces sterile, self-resolving inflammation and leukocyte recruitment [36] [37] | i.p. injection of 1 mg/mouse to study neutrophil and macrophage dynamics [37] [41] |
| TAK-242 (Resatorvid) | Selective TLR4 signaling inhibitor; tool for pathway validation [35] | Pre- or co-treatment to block LPS-induced cytokine production [35] |
| Forsythoside A (FTA) | Natural product with anti-inflammatory activity; inhibits NF-κB pathway [36] | Treatment (e.g., 40 mg/kg) to accelerate resolution in zymosan-induced peritonitis [36] |
| Recombinant AIM/CD5L | Enhances clearance of necrotic debris; promotes resolution [40] | Administration to ameliorate persistent inflammation and necrosis in zymosan-treated mice [40] |
| Spironolactone | Mineralocorticoid receptor (MR) blocker; attenuates fibrosis [39] | Oral administration to suppress fibrosis and neoangiogenesis in the scraping model [39] |
| D-mannose-d7 | D-mannose-d7, MF:C6H12O6, MW:187.20 g/mol | Chemical Reagent |
| Cox-2-IN-27 | Cox-2-IN-27|COX-2 Inhibitor|For Research Use | Cox-2-IN-27 is a potent, selective COX-2 inhibitor for cancer and inflammation research. This product is for Research Use Only. Not for human or veterinary use. |
Feline Infectious Peritonitis (FIP) is a systemic inflammatory syndrome caused by a mutated feline coronavirus (FCoV) [42] [43]. Until recently, FIP was considered fatal; however, the discovery of effective antiviral compounds like GS-441524 and molnupiravir has transformed it into a treatable condition, with recovery rates now exceeding 85-90% in cats [42]. Research into FIP and the efficacy of these antivirals relies on robust animal models that accurately replicate the disease's inflammatory pathology. This protocol provides a detailed framework for establishing a mouse model of peritonitis, a system that provides critical insights into the inflammatory responses and host-pathogen interactions relevant to FIP research [27] [44]. The Cecal Ligation and Puncture (CLP) model described herein is a gold standard for inducing polymicrobial sepsis and peritonitis, allowing for the evaluation of novel therapeutic agents and the underlying mechanisms of inflammatory disease [27].
The following reagents are essential for the successful execution of the peritonitis model and subsequent analyses.
Table 1: Key Research Reagent Solutions
| Reagent/Solution | Function/Explanation in the Protocol |
|---|---|
| Lipopolysaccharide (LPS) | A bacterial endotoxin used to induce a robust and standardized inflammatory response; administered intraperitoneally to simulate bacterial infection [45]. |
| Escherichia coli (tdTomato strain) | Fluorescently tagged bacteria used to establish a bacterial peritonitis model; enables quantitative tracking of bacterial load and phagocytic activity via fluorescence [44]. |
| Retinoic Acid (RA) | A vitamin A metabolite used to modulate macrophage function and population dynamics within the peritoneal cavity; often administered via loaded nanoparticles (e.g., ZIF-8) to prolong effect [44]. |
| Lenalidomide (Len) | A compound identified as an IKZF1 inhibitor; used in mechanistic studies to attenuate inflammatory responses by targeting specific transcription factors in macrophages [27]. |
| Enzyme-Linked Immunosorbent Assay (ELISA) Kits | Used for the quantitative measurement of key pro-inflammatory cytokines (e.g., TNF-α, IL-6, IL-1β) in plasma, serum, or peritoneal lavage fluid to assess the inflammatory status [27]. |
| Flow Cytometry Antibodies | Fluorescently conjugated antibodies against cell surface markers (e.g., CD11b, F4/80, MHC-II) for identifying and sorting immune cell populations, such as large and small peritoneal macrophages [44]. |
| Thioglycollate Broth | An eliciting agent injected intraperitoneally to recruit macrophages into the peritoneal cavity for subsequent isolation and ex vivo studies [27]. |
Two primary methods are utilized for inducing peritonitis in mice, each with distinct applications.
The CLP procedure is the most clinically relevant model for polymicrobial sepsis and secondary peritonitis [27].
This model uses a defined bacterial load to study early immune responses.
This protocol is critical for obtaining primary cells for ex vivo experiments.
The following dosing guidelines are derived from effective protocols used in feline FIP treatment and can be adapted for preclinical efficacy studies in mice. Dosing should be adjusted based on the mouse's weight and the specific research compound.
Table 2: Antiviral Dosing Protocol for FIP Research
| Condition / Form | Antiviral Agent | Dosage Regimen & Administration | Treatment Duration |
|---|---|---|---|
| Standard (Non-Ocular/Neurological) | GS-441524 (Oral) | 15 mg/kg per day [46] | Minimum 84 days [43] [46] |
| GS-441524 (Subcutaneous) | 6-7.5 mg/kg per day [46] | Minimum 84 days [43] [46] | |
| Molnupiravir (Oral) | 10-15 mg/kg, twice daily (BID) [46] | Minimum 84 days [46] | |
| Ocular FIP | GS-441524 (Oral) | 15-20 mg/kg per day [46] | Minimum 84 days [46] |
| GS-441524 (Subcutaneous) | 8-10 mg/kg per day (minimum) [46] | Minimum 84 days [46] | |
| Molnupiravir (Oral) | 15 mg/kg, twice daily (BID) [46] | Minimum 84 days [46] | |
| Neurological FIP | GS-441524 (Oral) | Minimum of 10 mg/kg, twice daily (BID) [46] | Minimum 84 days [46] |
| GS-441524 (Subcutaneous) | 10 mg/kg per day (minimum) [46] | Minimum 84 days [46] | |
| Molnupiravir (Oral) | 15-20 mg/kg, twice daily (BID) [46] | Minimum 84 days [46] | |
| Rescue Therapy | Paxlovid (Nirmatrelvir + Ritonavir) | 75 mg nirmatrelvir + 25 mg ritonavir, combined with GS-441524 or molnupiravir [46] | As required for combo therapy |
Understanding the molecular pathways activated during peritonitis is crucial for target identification. Recent research highlights the role of the IKZF1/HDAC3-SDHB-succinate axis in driving macrophage hyperactivation [27].
Figure 1: IKZF1-mediated inflammatory pathway in macrophages. Lipopolysaccharide (LPS) stimulation upregulates the transcription factor IKZF1, which recruits HDAC3 to deacetylate and repress SDHB, a key component of the mitochondrial complex II. This repression leads to mitochondrial dysfunction, characterized by succinate accumulation and reactive oxygen species (ROS) production, ultimately amplifying the pro-inflammatory response [27].
Monitoring specific biomarkers is essential for quantifying the inflammatory response and evaluating therapeutic efficacy.
Table 3: Key Inflammatory Biomarkers in Peritonitis
| Biomarker Category | Specific Marker | Relevance in Peritonitis & Notes |
|---|---|---|
| Pro-inflammatory Cytokines | IL-6 | Key driver of acute phase response; correlates with sepsis severity and prognosis [45] [8]. |
| TNF-α | Early pro-inflammatory mediator; initiates cytokine cascade [45] [8]. | |
| IL-1β | Pyrogenic cytokine; contributes to fever and systemic inflammation [45] [8]. | |
| Anti-inflammatory Cytokine | IL-10 | Provides negative feedback; inhibits pro-inflammatory cytokine production [45]. |
| Clinical Biomarkers | Procalcitonin (PCT) | Highly specific biomarker for bacterial infections; useful for guiding antibiotic therapy [8]. |
| C-Reactive Protein (CRP) | Classic acute phase protein; rises rapidly in response to inflammation [8]. | |
| Cellular Biomarkers | Neutrophil-to-Lymphocyte Ratio (NLR) | Accessible systemic inflammation marker; elevated in sepsis [8]. |
| Mitochondrial Metabolite | Succinate | Accumulates due to mitochondrial dysfunction; acts as a pro-inflammatory signal in macrophages [27]. |
Computational models provide a systems-level understanding of the inflammatory response. A multiscale Ordinary Differential Equation (ODE) model can simulate the dynamics from cellular activation to systemic vital signs [45]. Such a model typically includes:
This framework allows for the simulation of different challenge scenarios, such as acute LPS bolus or prolonged infusion, providing insights into the temporal dynamics of sepsis.
Figure 2: Workflow of inflammatory response modeling. An inflammatory stimulus triggers a cascade from cellular activation to the release of pro-inflammatory cytokines, resulting in clinical signs and potential tissue damage. Simultaneously, anti-inflammatory pathways are activated, providing crucial negative feedback to modulate the response [45].
Sepsis and peritonitis research relies heavily on animal models that accurately mimic the human clinical condition. The cecal ligation and puncture (CLP) model has long been considered the gold standard for modeling polymicrobial sepsis but suffers from significant variability due to inconsistent surgical technique and microbial composition [47] [4]. This variability compromises experimental reproducibility and comparability across different laboratories. Recent advancements have introduced the enriched cecal slurry (CS) model as a superior alternative that offers unprecedented standardization capabilities while maintaining the pathophysiological relevance of polymicrobial sepsis [47] [48].
The enriched CS technique addresses a critical need in inflammatory response research by providing a defined, consistent microbial challenge that can be quantitatively administered across experimental groups. This protocol details the methodology for creating, standardizing, and implementing enriched cecal slurry bacterial cultures for inducing peritonitis in mouse models, specifically designed for researchers investigating inflammatory pathways, immune responses, and therapeutic interventions.
The enriched cecal slurry model operates on the principle of intraperitoneal administration of a standardized polymicrobial inoculum derived from murine cecal contents. Unlike traditional CS methods that use fresh, uncharacterized cecal material for each experiment, the enriched approach involves bacterial culture expansion in liquid media, followed by preservation in glycerol stocks at -80°C [47]. This process provides several significant advantages:
Table 1: Essential Materials for Enriched Cecal Slurry Preparation
| Item | Function/Application |
|---|---|
| Cecal Slurry Donor Mice | Source of polymicrobial inoculum [47] |
| Glycerol Stocks | Long-term preservation of bacterial cultures at -80°C [47] |
| LB Media | Bacterial culture expansion and enrichment [47] |
| Aztreonam | Selective enrichment for Gram-negative bacteria [47] |
| Vancomycin | Selective enrichment for Gram-positive bacteria [47] |
| Phosphate Buffered Saline (PBS) | Diluent and injection vehicle [47] |
| Anaerobic Culture System | Mimics physiological gut environment during culture |
Table 2: Bacterial Concentration-Dependent Survival Outcomes
| Group | Bacterial Concentration (CFU/mL) | Survival Rate (at 48 hours) | Clinical Severity |
|---|---|---|---|
| A | 2 Ã 10â¹ | Lowest | Most severe |
| B | 1 Ã 10â¹ | Low | Severe |
| C | 0.5 Ã 10â¹ | Moderate | Moderate |
| D | 0.1 Ã 10â¹ | High | Mild |
| E (Control) | Saline only | 100% | None [47] |
The enriched cecal slurry model produces dose-dependent sepsis severity with high reproducibility [47]. Animals receiving higher bacterial loads (â¥1 à 10â¹ CFU/mL) typically exhibit:
The defined Gram-negative and Gram-positive cultures enable investigation of pathogen-specific immune responses, while the mixed polymicrobial inoculum more closely mimics clinical sepsis.
This standardized model is particularly valuable for:
Experimental Workflow for Enriched Cecal Slurry Model
Inflammatory Signaling Pathway in Peritonitis
The mouse peritonitis model is a well-established and versatile in vivo system for evaluating inflammatory responses and assessing the efficacy of therapeutic interventions [50] [51]. By simulating a localized intra-abdominal infection, this model provides critical insights into the complex dynamics of innate immunity, including the sequential influx of immune cells and the production of inflammatory mediators [4] [51]. Its reliability and reproducibility make it an indispensable tool for preclinical testing of novel compounds, from conventional antibiotics to cutting-edge biologic agents and targeted degraders. This protocol details the application of the mouse peritonitis model for evaluating three distinct therapeutic classes, providing a standardized framework for researchers in drug development.
The choice of peritonitis induction method depends on the research focus. The two primary models offer distinct advantages:
Quantifiable endpoints for therapeutic evaluation include:
This protocol is adapted from clinical studies on Automated Peritoneal Dialysis (APD)-associated peritonitis and is suitable for evaluating antibiotic efficacy and delivery methods in a pre-clinical setting [53] [54].
Objective: To compare the efficacy of continuous versus intermittent dosing of intraperitoneal antibiotics in resolving peritonitis and preventing systemic complications.
Materials:
Method:
Data Interpretation: Successful treatment is indicated by a significant reduction in bacterial load, normalization of leukocyte counts, and decreased pro-inflammatory cytokine levels in the treatment group compared to controls. Studies have shown that intermittent dosing can yield better primary response (91% vs 69%) and complete cure rates (93% vs 74%) than continuous regimens in some contexts [54].
This protocol focuses on testing targeted therapies, such as the NEK7-directed molecular glue degrader MRT-8102, which modulates specific inflammatory pathways [52].
Objective: To assess the efficacy of a novel molecular glue degrader in inhibiting the NLRP3 inflammasome and reducing inflammatory cytokine production in vivo.
Materials:
Method:
Data Interpretation: A potent inhibitor will cause a significant, dose-dependent reduction in key inflammatory cytokines (IL-1β, IL-6) and leukocyte infiltration in the lavage fluid compared to the vehicle control. For example, MRT-8102 demonstrated near-complete suppression of IL-1β and caspase-1 in pre-clinical models [52].
This protocol uses the CLP model to investigate drugs that target epigenetic regulators of inflammation, such as the IKZF1 inhibitor lenalidomide [4].
Objective: To determine the effect of IKZF1 inhibition on macrophage-mediated inflammation and associated lung injury in acute peritonitis.
Materials:
Method:
Data Interpretation: Effective IKZF1 inhibition with lenalidomide should attenuate the inflammatory response (reduced cytokines) and mitigate remote lung injury. Mechanistically, this should correlate with restored mitochondrial function and SDHB expression in macrophages [4].
Table 1: Efficacy Outcomes of Different Therapeutic Classes in Mouse Peritonitis Models
| Therapeutic Class | Example Compound | Key Efficacy Readouts | Observed Outcome | Citation |
|---|---|---|---|---|
| Antibiotics (IP) | Ceftazidime & Vancomycin | Peritonitis resolution rate, Time to resolution | 90.6% resolution (APD bags); 81.3% (manual exchange) | [53] |
| Molecular Glue Degrader | MRT-8102 (NEK7-targeting) | Inhibition of IL-1β, IL-6, TNF-α in peritoneal lavage | Potent inhibition of multiple cytokines; superior to NLRP3 inhibitor selnoflast in vitro | [52] |
| Epigenetic Modulator | Lenalidomide (IKZF1 inhibitor) | Cytokine levels (TNF-α, IL-6, IL-1β); Lung injury score | Attenuated inflammatory response and mitigated lung injury | [4] |
The mouse peritonitis model is powerful for probing novel signaling pathways. Key pathways currently under investigation include:
The diagram below illustrates the IKZF1 signaling pathway identified as a key driver of inflammation in the CLP peritonitis model.
Table 2: Essential Research Reagent Solutions for Mouse Peritonitis Studies
| Reagent / Material | Function / Application | Example Use in Protocol |
|---|---|---|
| Thioglycollate Broth | Elicits sterile inflammation and synchronized immune cell recruitment. | Inducing neutrophil and macrophage influx for studying cell recruitment and polarization [51]. |
| Ceftazidime & Vancomycin | Broad-spectrum antibiotic combination for treating polymicrobial infections. | Testing efficacy and optimal dosing regimens (intermittent vs. continuous) in CLP models [53]. |
| Lenalidomide | IKZF1 inhibitor and immunomodulatory drug. | Investigating the role of IKZF1 in epigenetic regulation of macrophage inflammation [4]. |
| MRT-8102 | First-in-class NEK7-directed molecular glue degrader. | Targeting the NLRP3 inflammasome upstream to inhibit multiple inflammatory cytokines [52]. |
| ELISA Kits (IL-1β, IL-6, TNF-α) | Quantification of protein levels of specific cytokines in biological fluids. | Measuring inflammatory response in peritoneal lavage, plasma, or BALF as a key efficacy readout [52] [4]. |
| Flow Cytometry Antibodies (e.g., CD11b, F4/80, Ly6G) | Identification and quantification of specific immune cell populations. | Differentiating and counting neutrophils, monocytes, and macrophages in peritoneal lavage [51]. |
| CLP Surgical Kit | Standardized tools for performing cecal ligation and puncture. | Creating a polymicrobial, clinicaly relevant model of sepsis and peritonitis [50] [4]. |
| Anticancer agent 71 | Anticancer agent 71, MF:C18H13ClF3N5O, MW:407.8 g/mol | Chemical Reagent |
| PROTAC Hemagglutinin Degrader-1 | PROTAC Hemagglutinin Degrader-1, MF:C61H93N5O9S, MW:1072.5 g/mol | Chemical Reagent |
Mouse models of peritonitis are indispensable tools for investigating the pathophysiology of inflammatory responses and evaluating potential therapeutic interventions. Within these models, two critical experimental parametersâthe dose of the inflammatory slurry and the timing of antibiotic administrationâprofoundly influence the resulting pathophysiology, survival outcomes, and translational relevance. This Application Note synthesizes current research to provide detailed protocols and data analysis focused on these factors, specifically within the context of meconium-induced chemical peritonitis and bacterial peritonitis. The goal is to equip researchers with standardized methodologies that enhance reproducibility and the accurate interpretation of model outcomes, thereby supporting robust preclinical drug development.
The dosage of the inflammatory agent and the timing of antibiotic intervention are primary determinants of disease severity and mortality in peritonitis models. The data below summarize key quantitative findings from recent studies.
Table 1: Summary of Slurry Dose and Antibiotic Timing Effects in Mouse Peritonitis Models
| Model Type | Inducing Agent & Dose | Animal Subjects | Key Outcome Measures | Effect of Antibiotic Timing |
|---|---|---|---|---|
| Meconium Peritonitis [55] | Human Meconium Slurry (MS); LD40 established at 200 µL per 4-day-old pup | 4-day-old neonatal mouse pups | Dose-dependent mortality: 100-300 µL range; Hematological/ hepatorenal abnormalities; Increased inflammatory gene expression | Antibiotics (Imipenem) ineffective when given at induction; Heat inactivation of MS digestive enzymes improved survival |
| LPS-Induced Peritonitis [5] | LPS; 10 mg/kg intraperitoneally | Male C57BL/6 mice (6-8 weeks) | 290 Differentially Expressed Genes (DEGs) in blood: 242 up, 48 down; Activation of NOD-like & Toll-like receptor pathways | Not a focus of this particular study |
| Thioglycollate-Induced Peritonitis [22] | Thioglycollate; 4% (w/v) in 1 ml sterile saline | 8-10 week-old male BABL/c mice | Induction of sterile inflammation for immune cell recruitment and analysis | Not a focus of this particular study |
This protocol details the induction of meconium peritonitis, which is a non-infectious chemical peritonitis caused by fetal intestinal perforation [55].
The following workflow diagram illustrates the key stages of this protocol:
This protocol is used to study the systemic transcriptomic response to localized inflammation [5].
The inflammatory response in peritonitis involves complex, interacting signaling pathways. LPS-induced models primarily activate pathogen recognition receptors, while meconium peritonitis triggers a distinct sterile inflammatory cascade.
Diagram 1: Core Inflammatory Signaling in Peritonitis
Key pathways activated in LPS-induced peritonitis include the Toll-like receptor (TLR) and NOD-like receptor signaling pathways, leading to a systemic inflammatory state characterized by the upregulation of hundreds of genes in the blood [5]. In contrast, the pathology of meconium peritonitis is driven mainly by digestive enzymes, and its systemic responses are distinct from classical sepsis, explaining the ineffectiveness of antibiotics and the efficacy of enzymatic inactivation [55].
Selecting the appropriate inducing agents and reagents is fundamental to successfully modeling different aspects of peritonitis.
Table 2: Key Research Reagent Solutions for Mouse Peritonitis Models
| Reagent / Material | Function in the Model | Key Considerations |
|---|---|---|
| Human Meconium Slurry [55] | Induces chemical peritonitis; models fetal intestinal perforation. | Sterility is critical; test before use. Pathogenic agent is primarily heat-labile digestive enzymes. |
| Lipopolysaccharide (LPS) [5] | Induces robust systemic inflammation via TLR4 activation; models Gram-negative bacterial infection. | Dose determines severity; 10 mg/kg i.p. induces strong transcriptomic changes. |
| Thioglycollate [22] | Induces sterile inflammation; used to recruit immune cells (e.g., macrophages) to the peritoneal cavity. | Concentration is key; 4% (w/v) is commonly used for eliciting peritoneal macrophages. |
| Imipenem/Cilastatin [55] | Broad-spectrum antibiotic used to test efficacy against bacterial components or co-infections. | Ineffective against meconium-induced chemical peritonitis when administered at model induction. |
| Fluoroquinolones (e.g., Moxifloxacin) [56] | Antibiotics with good intracellular penetration; used to study efficacy against intracellular pathogens (e.g., S. aureus). | Efficacy is influenced by pharmacokinetic/pharmacodynamic (PK/PD) parameters like Cmax/MIC ratio. |
| D-Erythrose-4-13C | D-Erythrose-4-13C, MF:C4H8O4, MW:121.10 g/mol | Chemical Reagent |
| Anti-infective agent 6 | Anti-infective agent 6, MF:C15H15NO3, MW:257.28 g/mol | Chemical Reagent |
In murine models of peritonitis, the implementation of robust supportive care, specifically fluid resuscitation and analgesia, is critical not only for animal welfare but also for the scientific validity and reproducibility of research outcomes. Unrelieved pain and dehydration can induce significant physiological stress, confounding immune and inflammatory readouts central to studying peritonitis pathophysiology [57] [58]. This protocol provides detailed methodologies for administering fluid therapy and analgesia, framed within the context of a fecal-induced peritonitis model, to ensure high standards of experimental rigor and translational relevance.
Fluid therapy is essential for maintaining tissue perfusion and correcting hypovolemia in septic mice. The following protocol, adapted from multi-laboratory sepsis studies, outlines a standardized approach for subcutaneous fluid resuscitation [59] [60].
Table 1: Composition of Common Crystalloid Solutions for Fluid Resuscitation
| Solution | pH | Osmolarity (mOsm/L) | Sodium (mmol/L) | Chloride (mmol/L) | Other Key Electrolytes | Primary Indication |
|---|---|---|---|---|---|---|
| Ringer's Lactate | 6.5 | 280 | 131 | 112 | Kâº: 5; Ca²âº: 3.7; Lactate: 28 | Resuscitation in sepsis, dehydration [61] [60] |
| 0.9% Saline | 6.0 | 308 | 154 | 154 | None | Fluid resuscitation (less ideal than balanced solutions) [61] |
| Dextrose 5% | 3.5â6.5 | 278 | 0 | 0 | Glucose: 252 | Source of free water post-resuscitation [61] |
Effective pain management is mandatory for ethical and scientific reasons. Pre-emptive analgesia is required unless specifically justified in an approved animal protocol [58].
Table 2: Analgesics for Use in Murine Peritonitis Models
| Drug (Class) | Recommended Dose & Route | Frequency | Key Considerations |
|---|---|---|---|
| Buprenorphine (Opioid) | 0.05â0.1 mg/kg, SC or IP | 4-8 hours | Pre-emptive use may reduce anesthetic requirements; respiratory depressant effects [58]. |
| Buprenorphine-SR (Opioid) | 0.5â1.0 mg/kg, SC | 48-72 hours | Gold standard for prolonged relief; minimizes handling [58]. |
| Carprofen (NSAID) | 5 mg/kg, SC | 24 hours | No impact on cardiomyocyte contractility; suitable for inflammatory pain [62] [58]. |
| Meloxicam (NSAID) | 2-5 mg/kg, SC or PO | 24 hours | Effective for inflammatory pain [58]. |
| Tramadol | 1 mg/mL in drinking water | On-demand | Shown more effective than metamizole in ALL xenograft models [57]. |
The following diagram illustrates the integration of fluid resuscitation and analgesia into a typical experimental timeline for a murine peritonitis study.
Table 3: Key Reagent Solutions for Supportive Care in Murine Peritonitis
| Item | Function/Description | Example Use Case |
|---|---|---|
| Ringer's Lactate | Balanced crystalloid solution for hydration and electrolyte balance. | Subcutaneous fluid resuscitation in septic mice [61] [60]. |
| Buprenorphine-SR | Sustained-release opioid analgesic. | Provides 48-72 hours of continuous analgesia post-procedure, reducing animal handling [58]. |
| Carprofen | Non-steroidal anti-inflammatory drug (NSAID). | Management of inflammatory pain without affecting cardiomyocyte contractility [62] [58]. |
| Nesting Material | Enrichment to assess natural behavior. | Reduction in nesting activity is a sensitive indicator of pain and distress [57]. |
| Mouse Grimace Scale (MGS) | Standardized scoring system for pain assessment. | Objective evaluation of pain through facial expression changes [57] [58]. |
| Heating Blanket/Pad | External heat source to prevent hypothermia. | Placed under half the home cage to support thermoregulation during critical illness [60]. |
| Flt3-IN-12 | Flt3-IN-12, MF:C21H23F3N6O, MW:432.4 g/mol | Chemical Reagent |
Within preclinical research on inflammatory responses, the Murine Sepsis Score (MSS) has been established as a robust, non-invasive clinical assessment tool for monitoring disease progression and severity in mouse models of peritonitis. Sepsis, a life-threatening condition triggered by a dysregulated host response to infection, is frequently studied using abdominal sepsis models such as fecal-induced peritonitis (FIP) and cecal ligation and puncture (CLP) [63] [33]. The MSS provides researchers and drug development professionals with a standardized, ethically acceptable method to quantify clinical illness, predict mortality, and define humane endpoints, thereby reducing the need to use death as an experimental endpoint and improving the translational value of preclinical studies [63] [64].
The MSS is a composite scoring system that evaluates seven independent clinical variables based on the observable physical appearance and behavior of mice [63] [33]. Each variable is assigned a score from 0 (healthy/normal) to 4 (most severely impaired), and the final MSS is the average of these seven component scores [33].
Table 1: Detailed Scoring Criteria for the Murine Sepsis Score (MSS)
| Score | 0 | 1 | 2 | 3 | 4 |
|---|---|---|---|---|---|
| Appearance | Smooth coat | Patches of piloerected hair | Majority of back piloerected | Puffy appearance, piloerection may or may not be present | Emaciated appearance, piloerection may or may not be present |
| Level of Consciousness | Active | Active but avoids standing upright | Noticeably slowed activity, still ambulant | Impaired activity, only moves when provoked with tremor | Severely impaired, remains stationary when provoked |
| Activity | Normal activity (eating, drinking, climbing) | Slightly suppressed activity, moving around cage bottom | Suppressed activity, stationary with occasional investigation | No activity | No activity, experiences tremors (hind legs) |
| Response to Stimulus | Immediate response to auditory or touch stimulus | Slow/no response to auditory; strong escape response to touch | No auditory response; moderate touch response (moves a few steps) | No auditory response; mild touch response (no locomotion) | No auditory/touch response, cannot right itself |
| Eyes | Open | Not fully open, possibly with secretions | At least half closed, possibly with secretions | Half closed or more, possibly with secretions | Closed or milky |
| Respiration Rate | Normal, rapid mouse respiration | Slightly decreased (rate not quantifiable by eye) | Moderately reduced (rate at upper range of eye quantification) | Severely reduced (easily countable, ~0.5s between breaths) | Extremely reduced (>1s between breaths) |
| Respiration Quality | Normal | Brief periods of laboured breathing | Laboured, no gasping | Laboured with intermittent gasps | Gasping |
The MSS has been extensively validated in multiple independent studies, demonstrating high reliability and predictive power for sepsis severity and mortality.
Table 2: Validation and Performance Characteristics of the MSS
| Validation Metric | Reported Performance | Context and Significance |
|---|---|---|
| Predictive Power for Mortality | MSS ⥠3 had 100% specificity for predicting death within 24 hours [63] [33]. | Allows for early humane intervention and accurate prognosis. |
| Inter-rater Reliability | Intra-class coefficient = 0.96 [63]. | Excellent consistency between different observers. |
| Internal Consistency | Cronbach alpha coefficient = 0.92 [63]. | High degree of correlation between the seven score components. |
| Comparison to Body Temperature | AUC = 0.95 for modified MSS vs. 0.88 for body temperature in predicting death [64]. | MSS is a highly robust standalone predictor. |
| Early Diagnosis (A-MSS) | 87.5% sensitivity, 100% specificity at 4 hours post-induction (A-MSS ⥠3.5) [65]. | Adapted MSS (A-MSS) includes glucose, temperature, and weight for earlier detection. |
Two primary models are used for inducing abdominal sepsis:
The following diagram illustrates the standard workflow for MSS monitoring in a peritonitis study:
The clinical assessment provided by the MSS is powerfully complemented by physiological measurements and molecular analyses. Research shows that the MSS correlates strongly with the progression of key pathophysiological events in sepsis.
Table 3: Key Research Reagent Solutions for Peritonitis and MSS Studies
| Reagent/Material | Function/Application | Example Specifications |
|---|---|---|
| Fecal Slurry | Induction of polymicrobial sepsis in FIP model. | Prepared from cecal contents (mouse or rat) in sterile saline or phosphate buffer, typically at 90-100 mg/mL concentration [33] [29]. |
| Anesthetic | Surgical anesthesia for CLP model or IP injections. | Isoflurane (inhalant) or Ketamine/Xylazine (injectable) cocktail [4] [64]. |
| Analgesic | Post-procedure pain relief, adhering to animal welfare. | Buprenorphine (0.05-0.1 mg/kg, subcutaneously), administered every 8-12 hours [64] [29]. |
| Fluid Resuscitation | Supportive therapy to counteract hypovolemia. | Sterile Ringer's Lactate or 0.9% Saline, administered subcutaneously (e.g., 1 mL) [64] [66]. |
| Antibiotics | Mimics clinical practice; can be timed to modulate severity. | Piperacillin-tazobactam or imipenem administered intraperitoneally [29]. |
| IKZF1 Inhibitor | Investigational tool to probe macrophage-mediated inflammation. | Lenalidomide (Len), used to attenuate inflammatory responses [4] [27]. |
| ELISA Kits | Quantification of systemic inflammatory cytokines. | Commercial kits for mouse IL-6, IL-1β, TNF-α (e.g., BioLegend LEGEND MAX) [4]. |
The Murine Sepsis Score is an indispensable, validated tool for objectively monitoring disease severity in mouse models of peritonitis. Its high reliability, predictive power for mortality, and strong correlation with underlying pathophysiological changes make it a cornerstone for ethical and scientifically robust preclinical research. When integrated with physiological measurements and molecular analyses, the MSS provides a comprehensive framework for evaluating novel therapeutic strategies and advancing our understanding of the host response to sepsis.
Inter-laboratory variability represents a significant challenge in preclinical research, particularly in studies utilizing mouse peritonitis models for evaluating inflammatory responses. Despite rigorous standardization efforts, fundamental differences in experimental outcomes persist across research facilities, threatening the translational validity of scientific findings and impeding drug development progress. This application note examines the sources and impacts of this variability within the context of multi-center studies, providing evidence-based protocols and strategic frameworks to enhance methodological harmonization and experimental reproducibility.
Recent investigations by the National Preclinical Sepsis Platform (NPSP) have quantified substantial disparities in outcomes between research sites. In a meticulously standardized fecal-induced peritonitis (FIP) model, the same protocol yielded 60% mortality at one site versus 88% mortality at another â a statistically significant difference (p < 0.05) despite identical fecal slurry doses (0.75 mg/g) and implementation procedures [60] [29]. This phenomenon underscores the complex interplay of environmental, technical, and biological factors that collectively contribute to inter-laboratory variability, necessitating comprehensive strategies that extend beyond protocol standardization alone.
The NPSP multi-laboratory study systematically documented variability across multiple parameters, providing compelling evidence of the reproducibility challenge in preclinical sepsis research.
Table 1: Inter-Laboratory Variability in Murine Fecal-Induced Peritonitis Models [60] [29]
| Experimental Parameter | Site 1 Results | Site 2 Results | Statistical Significance |
|---|---|---|---|
| Mortality (0.75 mg/g dose) | 60% | 88% | p < 0.05 |
| Body Temperature Patterns | Moderate hypothermia | Severe hypothermia | Marked differences observed |
| Murine Sepsis Score Utility | Poor association with mortality progression | Poor association with mortality progression | Consistent limitation across sites |
| Early Antibiotic Efficacy | 100% survival with 4h administration | 100% survival with 4h administration | Consistent benefit across sites |
| Fecal Slurry Dose Response | Increased severity with escalating doses (0.5-2.5 mg/g) | Increased severity with escalating doses (0.5-2.5 mg/g) | Consistent response across sites |
The consistency in certain responses (e.g., dose-dependent severity increases, antibiotic efficacy) demonstrates that core biological mechanisms remain intact across sites, while the marked differences in mortality and physiological parameters highlight the substantial impact of site-specific factors [60] [29]. Additional research has revealed that even subtle differences in housing conditions, animal supplier sub-strains, or technician technique can significantly alter inflammatory responses and experimental outcomes in mouse peritonitis models [67].
The FIP model minimizes surgical variability and operator dependence, making it particularly suitable for multi-laboratory studies [60] [29].
Table 2: Key Research Reagent Solutions for Fecal-Induced Peritonitis Models [60] [29]
| Reagent/Material | Specifications | Function in Protocol |
|---|---|---|
| Fecal Slurry | Prepared from Sprague Dawley rat cecal contents; 100 mg/mL concentration in 5% dextrose with 10% glycerol | Induces polymicrobial peritoneal infection; standardized aliquots stored at -80°C |
| Animal Strain | C57BL/6 mice (Helicobacter hepaticus-free); 8-10 weeks old; 20-30 g weight | Provides consistent genetic background for inflammation studies |
| Anesthetic | Isoflurane | Ensures humane, consistent anesthesia for intraperitoneal injection |
| Antibiotic Regimen | Piperacillin-tazobactam or imipenem in 100 μL Ringer's lactate | Mimics clinical sepsis management; timing critically affects outcomes |
| Supportive Care | Subcutaneous Ringer's lactate and buprenorphine analgesia | Maintains animal welfare and complies with MQTiPSS recommendations |
| Vehicle Control | 5% dextrose solution with 10% glycerol | Serves as negative control for fecal slurry injection |
Protocol Workflow:
Critical Procedural Steps:
Fecal Slurry Preparation: Create standardized batches from donor rat cecal contents homogenized in 50 mM phosphate buffer (6 mL/g). Filter through 100 μM cell strainer, centrifuge at 3000 à g for 25 minutes at 4°C, and resuspend in 5% dextrose with 10% glycerol to 100 mg/mL concentration. Aliquot and store at -80°C to minimize batch-to-batch variability [60] [29].
Animal Injection: Administer fecal slurry via intraperitoneal injection in the lower abdominal quadrant using a 25-gauge needle under isoflurane anesthesia. Maintain consistent injection technique across all operators and sites [60].
Supportive Care Administration: Provide subcutaneous Ringer's lactate (fluid resuscitation) and buprenorphine (analgesia) to all animals following MQTiPSS recommendations. Implement external heat support via heating blankets placed beneath half of each cage to allow behavioral thermoregulation [60] [29].
Antibiotic Timing: Administer antibiotics (piperacillin-tazobactam or imipenem) according to experimental design. Early administration (within 4 hours of inoculation) demonstrates significant survival benefit compared to late administration (after 12 hours) [60].
Monitoring and Endpoints: Assess animals for 72 hours using modified Murine Sepsis Score (MSS), though note its documented limitation in predicting mortality progression. Collect terminal samples for bacterial load quantification in blood and peritoneal fluid [60] [29].
For studies focusing specifically on innate immune cell recruitment without the complexity of live infection, thioglycollate-induced peritonitis offers a complementary approach.
Protocol Workflow:
Key Steps:
Understanding the factors contributing to variability is essential for developing effective mitigation strategies.
Key Variability Sources:
Environmental Conditions: Documented differences in ambient temperature ranges (20-22°C vs 21-24°C) between facilities correlate with variations in mortality outcomes, potentially through effects on thermoregulation and metabolic stress [60] [29].
Technical Execution: Subtle variations in fecal slurry preparation, injection technique, and monitoring consistency introduce operator-dependent variability despite standardized protocols [60].
Biological Factors: Emerging evidence indicates significant sex-associated differences in peritoneal immune responses, with scRNA-seq analyses revealing sexually dimorphic gene expression in omental stromal cells that correlates with macrophage polarization states [67]. These biological differences may interact with experimental conditions to produce site-specific outcomes.
Effective multi-center studies require a systematic approach to standardization that addresses both procedural and environmental variables:
Centralized Reagent Production: Prepare master batches of critical reagents (e.g., fecal slurry) at a central facility and distribute aliquots to all participating sites to minimize batch-to-batch variability [60] [29].
Cross-Site Training: Implement hands-on training workshops for all technical staff to ensure consistent procedural execution, particularly for technically sensitive steps like intraperitoneal injections and clinical scoring.
Environmental Monitoring and Control: Standardize and continuously monitor housing conditions (temperature, humidity, light cycles) across facilities with defined acceptable ranges narrower than typical animal facility standards.
Predefined Analytical Plans: Establish rigorous statistical plans prior to study initiation, including predefined sample sizes, primary endpoints, and covariate adjustment strategies for known sources of variability (e.g., animal sex, batch effects) [60] [68].
Blinded Outcome Assessment: Implement blinding procedures for outcome assessments, particularly for subjective measures like clinical scoring systems, to minimize observer bias across sites.
Adopt standardized data collection and reporting frameworks aligned with ARRIVE 2.0 guidelines and MQTiPSS recommendations to enhance transparency and reproducibility [60] [29]. Include detailed methodological descriptions that would enable exact protocol replication, including specific housing conditions, technician training procedures, and quality control measures.
Inter-laboratory variability presents a formidable but addressable challenge in multi-center peritonitis studies. The documented disparities in experimental outcomes across research sites stem from complex interactions between environmental conditions, technical execution, and biological factors. Through implementation of robust standardization frameworks, centralized reagent production, cross-site training initiatives, and rigorous environmental monitoring, researchers can significantly enhance the reproducibility and translational impact of mouse peritonitis models. The strategies outlined in this application note provide a practical roadmap for navigating variability challenges, ultimately strengthening the scientific validity of multi-center preclinical studies in inflammatory response research and drug development.
The use of preclinical models has been the backbone of translational research for more than a century, with mice serving as critical models in the preliminary stages of drug testing for determining efficacy and ruling out potential human-relevant toxicities [69]. Historically, most preclinical pharmacological studies have utilized young, relatively healthy, inbred male models in highly controlled environments, with limited testing beyond six months to avoid geriatric issues [69]. However, in the field of inflammation and peritonitis research, this approach creates a significant translational gap, as the human patient population most susceptible to severe peritonitis outcomes is typically aged, with complex comorbidities and polypharmacy [69] [70].
The growing focus on using more appropriate preclinical models is particularly relevant for testing therapeutics commonly used in older populations [69]. This application note provides detailed methodologies and protocols for incorporating aged animals into mouse models of peritonitis, specifically framed within research evaluating inflammatory responses. By optimizing preclinical models of ageing, researchers can significantly improve the translation of findings into clinical trials, ultimately enhancing the development of effective therapeutic strategies for peritonitis in aging human populations.
Age and Sex Representation:
Genetic Diversity:
Health Status Assessment:
Several well-established methods for inducing peritonitis in mice can be adapted for aged animal research. The selection of a specific model should align with the research objectives and clinical context being modeled.
Cecal Ligation and Puncture (CLP) Model: The CLP model is widely considered the gold standard for modeling polymicrobial sepsis secondary to peritonitis and is particularly relevant for aged animal studies due to its clinical relevance [4].
Procedure:
Lipopolysaccharide (LPS)-Induced Peritonitis Model: LPS-induced peritonitis provides a controlled model for studying inflammatory responses to gram-negative bacterial components [5].
Procedure:
Chemical Irritant Models: Thioglycollate-induced peritonitis is valuable for studying sterile inflammatory responses and macrophage recruitment [22] [4].
Procedure:
The table below outlines key inflammatory and bacterial biomarkers relevant for monitoring peritonitis progression and therapeutic response in aged mouse models:
Table 1: Key Biomarkers for Assessing Peritonitis in Aged Mouse Models
| Biomarker | Biological Function | Measurement Technique | Significance in Aged Peritonitis |
|---|---|---|---|
| IL-6 | Pro-inflammatory cytokine | ELISA, multiplex immunoassay | Correlates with organ failure scores; massively elevated in meconium peritonitis [70] [9] |
| TNF-α | Pro-inflammatory cytokine | ELISA, multiplex immunoassay | Key mediator in systemic inflammatory response; elevated in stercoraceous peritonitis [70] |
| PCT (Procalcitonin) | Prohormone of calcitonin | ELISA, immunoassay | Guides antibiotic discontinuation in intra-abdominal sepsis [70] |
| HMGB1 | Nuclear protein released during cell damage | ELISA, Western blot | Late mediator in sepsis; marker of disease severity [70] |
| CRP | Acute phase protein | Immunoassay, ELISA | General marker of inflammation; elevated in purulent and pancreatitis-associated peritonitis [70] |
| NLR | Neutrophil-to-Lymphocyte Ratio | Complete blood count (CBC) | Hematological indicator of systemic inflammation [70] |
| NGAL | Neutrophil gelatinase-associated lipocalin | ELISA, immunoassay | Identifies infection in peritoneal dialysis patients [70] |
The integration of aged animals into peritonitis research necessitates careful consideration of the quantitative differences in inflammatory responses, metabolic profiles, and therapeutic outcomes compared to young animals. The table below summarizes key parameters that demonstrate differential responses in aged versus young mice in peritonitis models:
Table 2: Comparative Responses in Young vs. Aged Mice in Peritonitis Models
| Parameter | Young Mice (2-4 months) | Aged Mice (18-24 months) | Clinical Relevance |
|---|---|---|---|
| Inflammatory Cytokine Production | Moderate IL-6, TNF-α response | Exaggerated and prolonged pro-inflammatory cytokine release [69] | Mimics cytokine storms in elderly patients |
| Immune Cell Recruitment | Robust neutrophil influx, coordinated macrophage activation | Dysregulated leukocyte infiltration, impaired macrophage phagocytosis [69] | Reflects immunosenescence in aging humans |
| Metabolic Alterations | Transient mitochondrial dysfunction | Persistent ROS production, succinate accumulation, ATP deficiency [4] | Represents age-related metabolic inflexibility |
| Mortality Rates | Model-dependent (e.g., LD40 in meconium peritonitis) [9] | Significantly elevated in comparable insult models [69] | Correlates with higher sepsis mortality in elderly |
| Organ Dysfunction | Limited to primary affected systems | Multi-organ failure, particularly lung injury and renal impairment [4] | Models clinical complexity in aged patients |
| Frailty Progression | Rapid recovery post-resolution | Persistent functional decline, increased frailty index [69] | Captures clinical geriatric syndrome outcomes |
| Therapeutic Response | Standard drug efficacy | Altered pharmacokinetics/pharmacodynamics, requires dose adjustment [69] | Informs dosing in elderly patients with polypharmacy |
Advanced omics technologies provide powerful tools for understanding the molecular mechanisms underlying age-specific responses to peritonitis.
Bulk RNA Sequencing:
Single-Cell RNA Sequencing:
Molecular Dynamics Simulations:
Recent research has highlighted the crucial role of metabolic and epigenetic regulation in inflammatory responses, particularly in aged models.
Mitochondrial Function Assessment:
Epigenetic Modulation:
Table 3: Essential Research Reagents for Aged Mouse Peritonitis Studies
| Reagent/Material | Specification | Application | Aged Model Considerations |
|---|---|---|---|
| Aged Mice | C57BL/6 (18-24 months) or genetically diverse strains (UM-HET3) | Model organism | Source from vendors providing aged animals; ensure health monitoring [69] |
| Lipopolysaccharide (LPS) | Escherichia coli, 10 mg/kg dosing | Induce sterile inflammation | Age-adjusted dosing may be required due to altered metabolism [5] |
| Thioglycollate Broth | 3-4% (w/v) in sterile saline | Macrophage recruitment and elicitation | Monitor enhanced inflammatory response in aged animals [22] [4] |
| Lenalidomide | IKZF1 inhibitor, 100 mg/kg | Target inflammatory transcription factors | Test in context of polypharmacy models [4] [69] |
| ELISA Kits | IL-6, TNF-α, IL-1β, PCT | Cytokine and biomarker quantification | Include age-specific reference ranges [4] [70] |
| RNA Sequencing Kits | Bulk and single-cell RNA preparation | Transcriptomic profiling | Focus on immunosenescence and inflammaging pathways [5] |
| Frailty Assessment Tools | Clinical frailty index for mice | Healthspan and functional assessment | Critical for determining baseline health status [69] |
| HDAC Activity Assay Kits | Colorimetric/fluorometric detection | Epigenetic regulation studies | Target for mitigating age-enhanced inflammation [4] |
The incorporation of aged animals into mouse models of peritonitis represents a critical advancement in improving the clinical translatability of inflammatory response research. By implementing the protocols, assessment tools, and methodological considerations outlined in this application note, researchers can significantly enhance the predictive value of their preclinical studies. The optimal preclinical ageing studies of therapeutics for peritonitis should be completed in old, genetically diverse models of both sexes, with careful attention to frailty assessment, polypharmacy considerations, and clinically relevant outcome measures [69]. This approach will facilitate the development of more effective therapeutic strategies for the aging population most vulnerable to the severe consequences of peritonitis and sepsis.
In preclinical research on inflammatory responses, the mouse peritonitis model serves as a critical experimental system for investigating sepsis pathophysiology and therapeutic interventions. A cornerstone of this research involves validating biomarkers that accurately reflect disease severity, a process that requires correlating quantifiable molecular measurements with clinically relevant disease scores. This application note details standardized protocols for establishing these critical correlations between clinical scores, cytokine levels, and bacterial loads in murine peritonitis models, enabling robust biomarker validation for drug development. The systematic approach outlined here provides a framework for researchers to generate reproducible, clinically translatable data on inflammatory responses, enhancing the predictive value of preclinical studies in sepsis and peritonitis research.
Several well-established mouse peritonitis models are available for sepsis and inflammatory response research, each with distinct characteristics and applications. The choice of model significantly influences the inflammatory profile and clinical progression, thereby impacting biomarker validation strategies.
Table 1: Comparison of Mouse Peritonitis Models for Biomarker Research
| Model Type | Induction Method | Key Characteristics | Best Applications |
|---|---|---|---|
| Cecal Ligation and Puncture (CLP) | Ligation and puncture of cecum with needle [71] | Polymicrobial infection, reproducible hyperinflammation, multi-organ failure [71] | ACLF, sepsis with multi-organ failure, systemic inflammation |
| Fecal-Induced Peritonitis (FIP) | Intraperitoneal injection of standardized fecal slurry [66] | Tunable severity, compatible with antibiotics/fluids, age-dependent responses [66] | Age-specific sepsis responses, therapeutic intervention studies |
| LPS-Induced Peritonitis | Intraperitoneal LPS injection (e.g., 10 mg/kg) [5] | Sterile inflammation, controlled inflammatory cascade, rapid onset | Transcriptomic studies of innate immunity, sterile inflammation mechanisms |
| Meconium Slurry-Induced | Intraperitoneal human meconium administration [9] | Chemical peritonitis, sterile inflammation, neonatal model | Neonatal peritonitis, digestive enzyme-mediated inflammation |
Comprehensive biomarker validation requires establishing baseline profiles across different peritonitis models. The following data represent aggregate quantitative measurements from published studies to serve as reference points for correlation analyses.
Table 2: Biomarker Measurements in Murine Peritonitis Models
| Parameter | CLP Model [71] | FIP Model (Aged Mice) [66] | LPS Model [5] | Measurement Method |
|---|---|---|---|---|
| Inflammatory Cytokines | ||||
| IL-6 | Significantly elevated | Markedly elevated in non-survivors | Not specified | ELISA, Multiplex immunoassay [71] [66] |
| TNF-α | Upregulated in kidney tissue | Not specified | Not specified | RT-qPCR, ELISA [71] |
| MCP-1/CCL2 | Not specified | Elevated in non-survivors | Not specified | Multiplex immunoassay [66] |
| Organ Function Markers | ||||
| Serum Creatinine | Increased [71] | Not specified | Not specified | Dri-Chem analyzer [71] |
| Blood Urea Nitrogen (BUN) | Elevated [71] | Not specified | Not specified | Dri-Chem analyzer [71] |
| AST | Significantly elevated [71] | Not specified | Not specified | Dri-Chem analyzer [71] |
| Bacterial Load | Widespread tissue colonization [71] | Impaired clearance in aged non-survivors [66] | Not applicable | CFU counting [71] [66] |
| Clinical Scores | Neurological behavior test scores worsened [71] | Modified Murine Sepsis Score [66] | Not specified | Standardized scoring systems [71] [66] |
This protocol describes the established CLP procedure for inducing polymicrobial peritonitis with simultaneous clinical scoring and biomarker collection [71].
Materials:
Procedure:
This protocol standardizes the process for establishing correlations between clinical assessments and molecular biomarkers.
Clinical Scoring System: Utilize the Modified Murine Sepsis Score (MSS) with the following components, each scored 0 (healthy) to 3 (severely affected) [66]:
Biomarker Sampling Timeline:
Sample Processing Methods:
Biomarker validation for regulatory submission requires careful consideration of context of use (COU) and fit-for-purpose validation strategies [74] [75].
Biomarker Categories and Definitions:
Fit-for-Purpose Validation: The level of analytical validation should be tailored to the specific COU [74] [75]:
Advanced Analytical Technologies: While ELISA has been the traditional gold standard, advanced platforms offer enhanced performance:
Experimental Workflow and Signaling Pathways in Peritonitis Biomarker Research
Successful execution of peritonitis biomarker studies requires carefully selected reagents and materials. The following table details essential solutions and their applications.
Table 3: Research Reagent Solutions for Peritonitis Biomarker Studies
| Reagent/Material | Function/Application | Specifications/Alternatives |
|---|---|---|
| Fecal Slurry Preparation | Standardized septic peritonitis induction [66] | Rat fecal slurry (0.75 mg/g) in 5% dextrose with 10% glycerol |
| CXC Chemokines | Enhance neutrophil recruitment to infection site [73] | CXCL1 (50 ng) + CXCL2 (500 ng) in saline, administered i.p. |
| Multiplex Immunoassay Kits | Simultaneous quantification of multiple cytokines [72] | MSD U-PLEX platform for IL-6, IL-10, MCP-1, TNF-α, etc. |
| Analytical Standards | Calibration and quality control for biomarker assays [75] | Recombinant cytokines with certificate of analysis |
| Peritoneal Lavage Solution | Recovery of peritoneal cells and bacteria [73] | Warm HBSS without calcium/magnesium |
| Culture Media | Bacterial quantification from peritoneal fluid [73] | 5% sheep blood agar plates for aerobic/anaerobic culture |
| Antibiotic Therapy | Mimic clinical sepsis management [66] | Imipenem (25 mg/kg) every 12 hours for 5 days post-CLP |
| Analgesia | Humane pain management post-procedure [71] | Buprenorphine (0.3 mg/kg) every 12 hours |
The systematic correlation of clinical scores with cytokine profiles and bacterial loads provides a robust framework for biomarker validation in mouse peritonitis models. By implementing standardized protocols, utilizing advanced analytical platforms, and adhering to fit-for-purpose validation principles, researchers can generate clinically relevant data that enhances the predictive value of preclinical sepsis research. The integrated approach outlined in this application note facilitates the development of qualified biomarkers that can accelerate therapeutic discovery and improve the translation of findings from bench to bedside.
Peritonitis, the inflammation of the peritoneal membrane, represents a life-threatening condition frequently encountered in clinical settings, often leading to sepsis and multi-organ failure. Research into its complex pathophysiology and the development of novel therapeutics relies heavily on robust, reproducible animal models that accurately mimic the human condition. The mouse peritonitis model has emerged as a cornerstone in inflammatory response research, offering a vital platform for investigating immune mechanisms, host-pathogen interactions, and potential therapeutic interventions. This application note provides a comprehensive comparative analysis of the primary murine peritonitis models, detailing their specific strengths, limitations, and optimal applications to guide researchers in selecting the most appropriate system for their investigative goals. The content is framed within the context of a broader thesis on utilizing mouse peritonitis models for evaluating inflammatory responses, providing detailed protocols and data presentation suitable for researchers, scientists, and drug development professionals.
The most prevalent murine peritonitis models can be broadly categorized into three groups: polymicrobial sepsis models, monomicrobial infection models, and chemical induction models. Each system offers distinct advantages and is characterized by specific experimental parameters and outcomes.
Table 1: Comparative Overview of Major Mouse Peritonitis Models
| Model Type | Induction Method | Key Features | Inflammatory Response | Typical Mortality Rates | Primary Applications |
|---|---|---|---|---|---|
| Polymicrobial (CLP) | Surgical ligation and puncture of the cecum [71] [76] [77] | Reproduces polymicrobial sepsis; progressive, hyperdynamic then hypodynamic hemodynamics [77] | High levels of IL-6, TNFα, G-CSF, MCP-1; multi-organ damage [71] [77] | Standard-grade: 40% (7-day); High-grade: 71% (7-day) [77] | Gold standard for sepsis pathophysiology and antibiotic studies [76] [77] |
| Monomicrobial (E. coli) | Intraperitoneal injection of defined bacterial strain (e.g., E. coli ER2272, tdTomato-marked) [44] [25] | Controlled, reproducible bacterial load; modifiable with virulence enhancers [25] | Phagocyte recruitment (LPMs, SPMs); cytokine release (IL-6, TNFα) [44] | Strain and dose-dependent; ~100% with 10^7 CFU + mucin in BALB/c [25] | Leukocyte recruitment studies, phagocytosis, pathogen-specific immunity [44] |
| Chemical (LPS Endotoxemia) | Intraperitoneal injection of bacterial lipopolysaccharide (LPS) [45] [78] | Sterile inflammation; highly reproducible and tunable via dosage [45] [78] | Rapid cytokine storm (TNFα, IL-6, IL-1β); febrile response [45] | Typically low with sublethal doses; tunable with dose [45] | Acute inflammatory signaling, cytokine kinetics, fever response [45] |
| Chemical (Zymosan) | Intraperitoneal injection of zymosan (yeast cell wall particles) [78] | Sterile, granulomatous inflammation; sustained response [78] | Biphasic inflammation; neutrophil then monocyte infiltration [78] | Low in acute phase [78] | Chronic granulomatous inflammation, leukocyte migration studies [78] |
Table 2: Technical and Practical Considerations for Model Selection
| Characteristic | Cecal Ligation and Puncture (CLP) | Monomicrobial Injection | LPS Endotoxemia |
|---|---|---|---|
| Pathophysiological Relevance | High (mimics human sepsis) [77] | Moderate (dependent on pathogen) [25] | Low (sterile, non-infectious) [45] |
| Technical Difficulty | High (surgical procedure required) [71] [77] | Low (simple injection) [25] | Low (simple injection) [78] |
| Reproducibility | Moderate (variability with surgeon skill, ligation length, needle gauge) [71] [77] | High (precise CFU control) [44] [25] | Very High (precise LPS dose) [45] |
| Time Course of Inflammation | Prolonged (days), multi-phasic [77] | Acute (hours to days) [44] | Rapid, transient (peaks at 2-6 hours) [45] |
| Associated Organ Failure | Yes (renal, hepatic, cardiac) [71] [77] | Possible (dose and strain-dependent) [25] | Rare (with sublethal doses) [45] |
| Suitable for Drug Screening | Late-stage therapeutic validation [76] | Mid to high-throughput screening [79] | High-throughput screening [78] |
The CLP procedure is the gold standard for modeling polymicrobial sepsis and is performed under aseptic conditions [77].
Materials:
Procedure:
Monitoring: Monitor animals every 4-8 hours for the first 48 hours and at least twice daily thereafter. Assess body weight, clinical disease index (CDI), and behavior. Euthanize mice exhibiting severe moribund state according to institutional guidelines [77].
This protocol utilizes a clinical isolate of E. coli to induce a controlled bacterial peritonitis, ideal for studying pathogen-specific immune responses [44] [25].
Materials:
Procedure:
Note: The use of hog gastric mucin is critical for enhancing bacterial virulence and establishing a robust infection with clinical isolates, as it impairs initial bacterial clearance by phagocytes [25].
The following diagrams visualize the core inflammatory signaling pathway in peritonitis and the generalized experimental workflow for model establishment and analysis.
Figure 1: Inflammatory Signaling Pathway in Murine Peritonitis. This diagram illustrates the core signaling cascade triggered by various insults (LPS, bacteria, tissue damage) in mouse peritonitis models, leading to both pro-inflammatory and compensatory anti-inflammatory responses, ultimately resulting in physiological changes and potential mortality [45] [71] [77].
Figure 2: Experimental Workflow for Murine Peritonitis Models. This flowchart outlines the generalized sequence of steps for establishing, monitoring, and analyzing data from mouse peritonitis studies, from model selection through to final data interpretation [44] [71] [25].
The following table catalogues essential reagents and materials frequently employed in murine peritonitis research, as identified from the current literature.
Table 3: Essential Research Reagents for Murine Peritonitis Studies
| Reagent / Material | Function / Application | Example Usage in Context |
|---|---|---|
| Lipopolysaccharide (LPS) | Potent inflammogen; induces sterile, acute inflammation via TLR4 signaling [45] [78] | Modeling acute endotoxemia; studying early cytokine kinetics (TNFα, IL-6) and febrile responses [45]. |
| Hog Gastric Mucin | Virulence-enhancing agent; impedes phagocytic clearance of bacteria [25] | Co-injection with clinical bacterial isolates (e.g., carbapenem-resistant E. coli) to establish robust infection in monomicrobial models [25]. |
| Retinoic Acid (RA) | Immunomodulator; regulates macrophage function and population dynamics [44] | Studying enhancement of macrophage phagocytic capacity and modulation of LPM/SPM distribution during E. coli peritonitis [44]. |
| mPEG-PLGA Nanoparticles | Biocompatible, biodegradable drug delivery vehicle for controlled release [79] | Co-delivery of antibiotics with differing pharmacokinetics (e.g., colistin and niclosamide) to overcome resistant bacterial infections [79]. |
| Recombinant CXCR4/IL-10 MSCs | Cell-based therapy; potential enhanced homing (CXCR4) and anti-inflammatory (IL-10) activity [76] | Investigating advanced therapeutic strategies for modulating severe inflammation and promoting tissue repair in polymicrobial sepsis (CLP model) [76]. |
| Antibodies for Flow Cytometry (e.g., anti-CD11b, F4/80, MHC-II) | Identification and quantification of specific immune cell populations by surface marker expression [44] | Distinguishing between large peritoneal macrophages (LPMs: CD11b+, F4/80HIGH, MHC-IILOW) and small peritoneal macrophages (SPMs: CD11b+, F4/80LOW, MHC-IIHIGH) in lavage fluid [44]. |
The selection of an appropriate murine peritonitis model is paramount to the scientific validity and translational potential of research findings. The Cecal Ligation and Puncture model remains the most clinically relevant for studying polymicrobial sepsis due to its incorporation of a viable infectious focus and progressive pathophysiology mirroring human disease. In contrast, monomicrobial injection models offer superior reproducibility and are ideal for dissecting pathogen-specific immunity, while LPS-induced endotoxemia provides a highly controlled system for acute inflammatory signaling studies. Researchers must carefully weigh the strengths and limitations of each modelâincluding pathophysiological relevance, technical complexity, and reproducibilityâagainst their specific research objectives. The continued refinement of these models, coupled with advanced monitoring techniques and novel therapeutic agents, will undoubtedly enhance our understanding of peritoneal inflammation and foster the development of more effective treatments for this critical condition.
Histopathological and Functional Assessment of Organ Injury
Within the scope of a broader thesis on mouse peritonitis models for evaluating inflammatory responses, the precise assessment of organ injury is a critical pillar of research. This document provides detailed application notes and protocols for the histopathological and functional evaluation of organ damage in a neonatal mouse model of meconium peritonitis [9]. The provided methodologies are designed to offer researchers a standardized framework for quantifying inflammatory responses and multi-organ dysfunction, facilitating robust and reproducible data for therapeutic development.
Intraperitoneal administration of human meconium slurry (MS) to neonatal mice induces significant systemic inflammation and organ-specific pathology. The following tables summarize core quantitative data from this model, establishing key parameters for injury assessment.
Table 1: Survival and Model Characterization Data [9]
| Parameter | Findings | Experimental Details |
|---|---|---|
| Established Lethal Dose (LD40) | 200 µL/body weight | Dose was determined in 4-day-old mouse pups. |
| Mortality Rate | Dose-dependent | Monitored for up to 7 days post-MS administration. |
| Pathogenic Agent | Primarily digestive enzymes | Survival improved with heat inactivation of MS; antibiotic treatment was ineffective. |
| Systemic Response | Distinct from bacterial sepsis | Confirmed via comparison with a non-surgical neonatal sepsis model. |
Table 2: Hematological, Biochemical, and Inflammatory Marker Profiles [9]
| Assessment Category | Specific Parameter | Observation |
|---|---|---|
| Hematology | Complete Blood Count (CBC) | Substantial hematological abnormalities observed. |
| Serum Biochemistry | Liver and Kidney Function Markers | Significant hepatorenal abnormalities confirmed. |
| Inflammatory Gene Expression | Innate and Adaptive Immune Response Genes | Marked increase in pro-inflammatory gene expression (e.g., IL-6) in liver tissue. |
This section outlines detailed, sequential protocols for inducing peritonitis and assessing subsequent organ injury.
Objective: To generate a sterile chemical peritonitis in neonatal mice via intraperitoneal injection of human meconium slurry. Materials:
Procedure:
Objective: To evaluate hematological and serum biochemical changes as indicators of systemic inflammation and organ dysfunction. Materials: Lithium heparin capillary blood collection tubes, veterinary hematology analyzer, automated biochemical analyzer.
Procedure:
Objective: To quantify the expression of key immunomodulatory genes in the liver. Materials: RNA extraction kit (e.g., RNAeasy Mini Kit), cDNA synthesis kit (e.g., RT2 First Strand Kit), Mouse Innate & Adaptive Immune Responses PCR Array, real-time PCR system.
Procedure:
The following diagrams, generated using Graphviz DOT language, illustrate the core experimental workflow and the key inflammatory signaling pathway implicated in meconium peritonitis.
Experimental Workflow for Organ Injury Assessment
Key Inflammatory Pathway in Meconium Peritonitis
The following table details key reagents and materials required to execute the described meconium peritonitis model and organ injury assessments.
Table 3: Research Reagent Solutions for Mouse Peritonitis Studies
| Reagent / Material | Function / Application | Example / Note |
|---|---|---|
| Human Meconium Slurry | Induces sterile chemical peritonitis. | Prepared from healthy term infants; sterile stock is critical [9]. |
| Phosphate-Buffered Saline (PBS) | Diluent for preparing meconium slurry. | Standard, sterile, without calcium or magnesium. |
| RNAeasy Mini Kit | Total RNA extraction from tissue samples (e.g., liver). | Ensures high-quality RNA for downstream gene expression analysis [9]. |
| PCR Array (Mouse Innate & Adaptive Immune Response) | Profiles expression of 84 immune-related genes. | Provides a focused, quantitative view of the inflammatory response [9]. |
| Lithium Heparin Capillary Tubes | Collection of small-volume blood samples from neonatal mice. | Prevents coagulation for hematological and biochemical analysis [9]. |
| LysM-EGFP Mice | Enables in vivo tracking of circulating myeloid cells (neutrophils) during peritonitis. | Useful for monitoring immune cell dynamics via intravital flow cytometry [17]. |
| Sparstolonin B (SsnB) | Natural compound with dual antibacterial/anti-inflammatory activity. | Example therapeutic for validating the model; inhibits TLR-2/4 signaling and MRSA [80]. |
| Anti-CD64 / Anti-Ly6G Antibodies | Flow cytometry staining to identify and characterize neutrophils. | Used for ex vivo validation of immune cell populations [17]. |
Sepsis, a life-threatening organ dysfunction caused by a dysregulated host response to infection, remains a leading cause of mortality worldwide. Murine models of peritonitis, particularly lipopolysaccharide (LPS)-induced peritonitis, are extensively used to investigate the pathophysiology of sepsis and evaluate potential therapeutic interventions. However, a significant translational gap exists between findings from animal models and clinical applications in human patients. This application note outlines standardized protocols and analytical frameworks for integrating murine transcriptomic data with human sepsis profiles, enabling researchers to validate findings from mouse models in clinically relevant contexts and identify therapeutic targets with enhanced translational potential.
The systemic inflammatory response in sepsis involves complex molecular mechanisms that can be effectively modeled using LPS-induced peritonitis in mice. Intraperitoneal administration of LPS triggers a robust immune activation characterized by significant transcriptomic alterations in both local peritoneal tissues and systemic circulation [5] [35]. By employing cross-species validation approaches, particularly through single-cell RNA sequencing data from human sepsis patients, researchers can now determine which molecular pathways identified in mouse models are conserved in human sepsis, thereby increasing the predictive value of preclinical findings.
Comprehensive transcriptomic profiling of murine peritonitis models has revealed consistent patterns of differential gene expression and pathway activation across multiple studies. The table below summarizes key quantitative findings from recent investigations:
Table 1: Transcriptomic Alterations in Murine Peritonitis Models
| Experimental Model | Tissue Analyzed | Differentially Expressed Genes (DEGs) | Key Upregulated Pathways | Key Downregulated Pathways | Identified Hub Genes/Proteins |
|---|---|---|---|---|---|
| LPS-induced peritonitis (10 mg/kg, i.p.) [5] | Blood | 290 DEGs (242 up, 48 down) | NOD-like receptor signaling, Toll-like receptor signaling, Apoptosis, Phagocytosis | Th1/Th2 cell differentiation, T cell receptor signaling | LDLR, FNBP1L, SNX18, FAM20C, INPP5F, PACSIN1, ZAP70, SYNJ2 |
| LPS-induced peritonitis (10 mg/kg, i.p.) [35] | Peritoneum | 4201 DEGs (1759 up, 2442 down) | Inflammatory response, TLR4 signaling | Various cellular developmental processes | Validated through TAK 242 (TLR4 inhibitor) response |
| E. coli-induced intra-abdominal sepsis [81] | Peritoneal cells | 5244 DEGs across time points | Early: Antigen presentation, cellular development; Late: Cell death pathways | Variable by temporal stage | PLAGL2, EBF1, TCF7, KLF10, SBNO2 |
Integration of these datasets reveals conserved inflammatory pathways across different murine sepsis models, with TLR4 signaling representing a central node in the inflammatory response. The identification of hub genes across studies provides high-value targets for further validation in human systems.
Note: All animal procedures must be approved by appropriate Institutional Animal Care and Use Committee and follow relevant guidelines.
Data Acquisition:
Data Preprocessing:
Cell Type Identification:
Cross-Species Gene Expression Validation:
Clinical Correlation Analysis:
The following diagram illustrates the comprehensive workflow for generating and validating murine transcriptomic findings in human sepsis contexts:
The diagram below details key signaling pathways activated in LPS-induced peritonitis and their cross-species relevance:
Table 2: Essential Research Reagents for Murine-Human Sepsis Transcriptomic Studies
| Reagent/Material | Specifications | Application | Key Considerations |
|---|---|---|---|
| Lipopolysaccharide (LPS) | E. coli serotype O111:B4; 10 mg/kg in PBS | Induction of sterile peritonitis in mice | Dose optimization required for specific mouse strains; sterile preparation critical [5] [35] |
| TAK-242 (Resatorvid) | TLR4-specific inhibitor; 3 mg/kg | Validation of TLR4-dependent mechanisms in murine models | Pre-treatment (30 min before LPS) demonstrates TLR4-specific effects [35] |
| RNA Stabilization Reagents | RNAlater or similar commercial formulations | Preservation of RNA integrity in blood and tissues | Immediate mixing with blood samples essential for quality transcriptomics [5] |
| Bulk RNA Sequencing Kits | Illumina TruSeq Stranded mRNA Kit | Transcriptome profiling from murine samples | Input RNA quality critical (RIN >8.0); minimum 30M reads/sample recommended [5] |
| Single-Cell RNA Sequencing Platforms | 10X Genomics Chromium System | Human patient profiling for cross-species validation | Requires fresh cells; cell viability >90% essential for quality data [5] |
| Bioinformatic Tools | DESeq2, Seurat, clusterProfiler | Differential expression and pathway analysis | Consistent parameter settings across analyses enables cross-study comparisons |
The integration of murine transcriptomic data with human sepsis profiles represents a powerful approach for bridging the translational gap in sepsis research. The protocols outlined herein provide a standardized framework for generating mechanistically relevant data in mouse models and validating their clinical significance using human single-cell sequencing data.
Key considerations for successful implementation include:
Temporal Dynamics: Transcriptomic changes in both murine models and human sepsis are highly time-dependent. Researchers should carefully consider timing of sample collection in relation to disease progression. In murine models, early time points (6-24 hours) typically capture peak inflammatory responses [5] [81].
Compartment-Specific Responses: Significant differences exist between local (peritoneal) and systemic (blood) transcriptomic profiles in response to intra-abdominal infection [35] [81]. The choice of tissue for analysis should align with research questions, with blood transcriptomics offering greater clinical translatability.
Model Selection: Different murine sepsis models (LPS, CLP, fecal slurry) produce distinct transcriptomic signatures [82] [66]. LPS-induced peritonitis provides a standardized, highly reproducible model for studying specific inflammatory pathways, while polymicrobial models may better reflect clinical heterogeneity.
Age Considerations: Aging significantly impacts host response to sepsis [66]. Most murine studies utilize young animals (6-8 weeks), while sepsis predominantly affects older humans. Incorporating aged mice into study designs enhances translational relevance.
The cross-species validation approach described here has demonstrated clinical utility, with hub genes identified in murine models showing conserved expression patterns in human sepsis patients and correlation with disease severity scores such as SOFA and APACHE-II [5] [83]. This framework not only validates preclinical findings but also identifies promising therapeutic targets with enhanced potential for clinical translation.
For comprehensive research design, researchers should consult original citations and consider multi-center validation approaches to enhance reproducibility and clinical relevance of findings.
Mouse models of peritonitis are indispensable tools in sepsis and inflammatory response research, bridging the gap between basic scientific discovery and clinical application. These experimental systems provide a controlled environment for elucidating the complex mechanisms driving systemic inflammation and for evaluating novel therapeutic strategies. This application note presents three case studies demonstrating successful preclinical research using mouse peritonitis models, highlighting detailed methodologies, key findings with clinical relevance, and experimental protocols. By integrating quantitative data analysis, pathway visualization, and reagent specifications, we provide a comprehensive resource for researchers aiming to design robust translational studies in inflammatory disease research.
Objective: To characterize the systemic transcriptomic changes and identify key hub genes in a lipopolysaccharide (LPS)-induced murine peritonitis model.
Materials:
Methodology:
The transcriptomic analysis revealed significant alterations in the blood of mice with LPS-induced peritonitis. The key quantitative findings are summarized in the table below:
Table 1: Transcriptomic Profile of LPS-Induced Peritonitis
| Analysis Parameter | Result | Clinical Relevance |
|---|---|---|
| Differentially Expressed Genes | 290 total (242 upregulated, 48 downregulated) | Conserved expression patterns in human sepsis patients |
| Activated Pathways | NOD-like receptor, Toll-like receptor, Apoptosis, Phagocytosis | Associated with human systemic inflammatory response |
| Inhibited Pathways | Th1/Th2 cell differentiation, T cell receptor signaling | Reflects immunosuppression phase in human sepsis |
| Identified Hub Proteins | LDLR, FNBP1L, SNX18, FAM20C, INPP5F, PACSIN1, ZAP70, SYNJ2 | Potential diagnostic biomarkers/therapeutic targets |
| Clinical Validation | Module score significantly distinguished sepsis patients from controls (p < 0.05) | Strong clinical relevance for patient stratification |
The eight identified hub proteins demonstrated structural stability in molecular dynamics simulations, maintaining conformation over 300 ns. Crucially, cross-species validation confirmed that these hub genes showed cell-type-specific expression patterns in human sepsis patients, with ZAP70 downregulation in T cells and LDLR upregulation in monocytes, highlighting their potential clinical relevance.
The following diagram illustrates the key signaling pathways activated in LPS-induced peritonitis, highlighting the interconnected inflammatory response:
Objective: To evaluate the antinociceptive effects of the mRNA translation inhibitor vioprolide A in murine models of inflammatory pain, including zymosan-induced peritonitis.
Materials:
Methodology:
Vioprolide A demonstrated significant antinociceptive effects in the zymosan-induced peritonitis model. The quantitative outcomes are summarized below:
Table 2: Therapeutic Efficacy of Vioprolide A in Murine Pain Models
| Parameter | Vioprolide A Group | Vehicle Control Group | Significance |
|---|---|---|---|
| Visceral Inflammatory Hypersensitivity | Significantly alleviated | Persistent hypersensitivity | p < 0.05 |
| Somatic Inflammatory Hypersensitivity | Attenuated in dose-dependent manner | Persistent hypersensitivity | p < 0.05 at 1-3 mg/kg |
| Established Hypersensitivities | No effect | No improvement | Not significant |
| Brain Penetrance | Not detected | Not applicable | Short plasma half-life |
| NOP14 Expression | Expressed in sensory neurons | Expressed in sensory neurons | Target engagement confirmed |
The study demonstrated that vioprolide A pretreatment significantly alleviated visceral inflammatory hypersensitivity during zymosan-induced peritonitis. However, treatment after hypersensitivity establishment showed no effect, indicating the importance of intervention timing. Pharmacokinetic analysis revealed limited brain penetration, suggesting a peripheral mechanism of action.
Objective: To investigate the therapeutic potential of human adipose-derived mesenchymal stromal cells (hASCs) in a murine model of polymicrobial sepsis induced by cecal ligation and puncture (CLP).
Materials:
Methodology:
hASC therapy demonstrated significant benefits in the polymicrobial sepsis model, with key findings summarized below:
Table 3: Therapeutic Outcomes of hASC Therapy in Murine Sepsis
| Outcome Measure | Control Group | Wild-type hASCs | Modified hASCs |
|---|---|---|---|
| 24-Hour Mortality | 8% | 8% | 8% |
| Overall Mortality | 3/group | 2/group | 1/group |
| Weight Loss | Progressive decrease | Max 10% loss with recovery | Similar recovery pattern |
| Behavioral Score | Severe impairment | Mild difficulty for 2-3 days | Mild difficulty for 2-3 days |
| Blood Culture | Positive for pathogens | No growth | No growth |
| Anti-inflammatory Cytokines | No significant change | Increased IL-4 | Increased IL-10 |
| Pro-inflammatory Cytokines | Elevated IL-1β, IL-12, IFN-γ, TNF-α | Decreased IL-12 | Decreased IL-12 |
Both wild-type and modified hASCs effectively mitigated sepsis severity, with no significant differences between cell types. Treated animals showed improved weight recovery, behavioral scores, and bacterial clearance compared to controls. Cytokine profiling demonstrated that hASC therapy modulated the inflammatory response, enhancing anti-inflammatory cytokines while reducing specific pro-inflammatory mediators.
Table 4: Key Research Reagents for Mouse Peritonitis Models
| Reagent/Category | Specific Examples | Function/Application |
|---|---|---|
| Peritonitis Inducing Agents | LPS (E. coli), Zymosan A, Cecal slurry, Live bacteria | Initiate controlled inflammatory response of varying severity |
| Surgical Sepsis Models | Cecal ligation and puncture (CLP) equipment | Reproduce polymicrobial sepsis with tissue necrosis |
| Therapeutic Compounds | Vioprolide A, Monoclonal antibodies, Mesenchymal stromal cells | Evaluate novel treatment efficacy and mechanisms |
| Analgesics & Anesthetics | Buprenorphine, Isoflurane | Ensure humane animal treatment per ethical guidelines |
| Supportive Care Reagents | Ringer's lactate, Antibiotics (imipenem, piperacillin-tazobactam) | Mimic clinical standard of care and improve model validity |
| Sample Collection | PAXgene Blood RNA Tubes, EDTA tubes, Peritoneal lavage kit | Preserve molecular and cellular integrity for analysis |
| Analysis Kits | ELISA cytokine kits, RNA sequencing kits, Bacterial culture media | Quantify inflammatory markers and pathogen load |
The following diagram outlines a generalized workflow for therapeutic evaluation in mouse peritonitis models:
Mouse peritonitis models continue to provide valuable platforms for evaluating novel therapeutics and understanding inflammatory pathogenesis. The case studies presented herein demonstrate how carefully designed preclinical studies using these models can generate clinically relevant findings, from identifying novel biomarker candidates to evaluating promising therapeutic interventions. By adhering to standardized protocols, incorporating relevant supportive care, and implementing robust endpoint analyses, researchers can enhance the translational potential of their findings, ultimately contributing to improved treatments for sepsis and inflammatory disorders.
Mouse peritonitis models remain an indispensable component of inflammatory disease and sepsis research. A deep understanding of their foundational pathophysiology, coupled with meticulous methodological execution and robust validation, is paramount for generating reliable and translatable data. Future directions must prioritize the widespread adoption of standardized protocols, such as those developed by multi-laboratory consortia, and the integration of clinically relevant factors like aging and supportive care. By systematically addressing current challenges in reproducibility and validation, these refined models will significantly accelerate the development of novel anti-inflammatory and anti-sepsis therapies, ultimately bridging the persistent gap between promising preclinical results and successful clinical application.