ArticleJournal of biomedical science2017
Comprehensive comparison of three different animal models for systemic inflammation.
Article in Journal of biomedical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 198 papers.
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Who cites it
198 citing papers in PubMed, 328 citations in OpenAlex.
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- Mouse models to study von Willebrand factor in inflammation: a scoping review.Intensive care medicine experimental · 2026Review
- Ultrastructural response of the retinal cells and neurovascular unit to neuroinflammation induced by lipopolysaccharide.Brain structure & function · 2026Article
- Taurine reverses long-term memory deficits caused by LPS induced neuroinflammation.BMC neuroscience · 2026Article
- Nebivolol as a potential adjunct therapy for sepsis-induced cardiac dysfunction: evidence from a rat model.Scientific reports · 2026Article
- The RIPK3-IL-6 axis mediates kidney injury in cytokine storm syndrome.Cell death & disease · 2026Article
- CIGB-258, a Potential Novel Approach to Treat Sepsis-like Hyperinflammation, Reduces Gastrointestinal Hemorrhage in Zebrafish Exposed to Carboxymethyllysine and Ethanol.Pharmaceuticals (Basel, Switzerland) · 2026Article
- LPS-induced inflammation differentially affects endogenous CaMolecular medicine (Cambridge, Mass.) · 2026Article
- Establishment and validation of a rat sepsis model aligned with sepsis-3 via Staphylococcus aureus tail vein infection.Applied microbiology and biotechnology · 2026Article
- Review
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- Comparative renoprotective effects of phoenixin-14, a novel peptide, and dexamethasone in LPS-induced sepsis: targeting inflammation, oxidative stress, and apoptosis.Apoptosis : an international journal on programmed cell death · 2026Article
138 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo mimic systemic inflammation in humans, different animal models have been developed. Since these models are still discussed controversially, we aimed to comparatively evaluate the most widely used models with respect to the systemic effects, the influence on organ functions and to the underlying pathophysiological processes.
methodsSystemic inflammation was induced in C57BL/6N mice with lipopolysaccharide (LPS) treatment, peritoneal contamination and infection (PCI), or cecal ligation and puncture (CLP). Blood glucose and circulating cytokine levels were evaluated at 0, 2, 4, 6, 12, 24, 48, and 72 h after induction of inflammation. Additionally, oxidative stress in various organs and liver biotransformation capacity were determined. Markers for oxidative stress, apoptosis, infiltrating immune cells, as well as cytokine expression patterns, were assessed in liver and spleen tissue by immunohistochemistry.
resultsTreating mice with LPS and PCI induced a very similar course of inflammation; however, LPS treatment elicited a stronger response. In both models, serum pro-inflammatory cytokine levels rapidly increased whereas blood glucose decreased. Organs showed early signs of oxidative stress, and apoptosis was increased in splenic cells. In addition, liver biotransformation capacity was reduced and there was pronounced immune cell infiltration in both the liver and spleen. Mice exposed to either LPS or PCI recovered after 72 h. In contrast, CLP treatment induced comparatively fewer effects, but a more protracted course of inflammation.
conclusionsThe LPS model of systemic inflammation revealed to be most suitable when being interested in the impact of new therapies for acute inflammation. When using the CLP model to mimic human sepsis more closely, a longer time course should be employed, as the treatment induces delayed development of systemic inflammation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.