Evidence map›Paper›PMID 40808951›Full record

ArticleFrontiers in immunology2025

Transcriptional responses in different mouse models of septic liver injury differ from those in patients with septic liver injury.

Qin Yan, Wei Fan, Xinsen He, Shi Zheng, Xiaolin Zhong

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qin Yan *Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Wei Fan *The Public Platform of Advanced Detecting Instruments, Public Center of Experimental Technology, Southwest Medical University, Luzhou, China.
Xinsen He *Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Shi ZhengDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xiaolin ZhongDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sepsis, particularly sepsis-induced liver injury (SLI), exhibits acute onset and high mortality (up to 80%). While murine models are widely used for mechanistic studies due to limited human sample availability, their accuracy in replicating human SLI pathophysiology remains debated. Methods: Human SLI transcriptomes were characterized to identify core genes and immune signatures using Venn analysis and immune infiltration profiling. Transcriptomic features of two murine SLI models-cecal ligation and puncture (CLP) and lipopolysaccharide (LPS) challenge-were benchmarked against human SLI to evaluate pathophysiological relevance. Both models were then utilized to validate core gene expression for SLI biomarker identification. Results: Human SLI transcriptomics revealed significant enrichment in apoptotic processes, NF-κB regulation, inflammatory responses, protein phosphorylation, and bacterial response. Key pathways included IL-17 signaling, antigen processing, estrogen signaling, and atherosclerosis. Immune infiltration confirmed multifactorial immune cell involvement. Both murine models recapitulated inflammatory and immune responses, with the LPS model mimicking human SLI via chemotaxis, phagocytosis, NOD-like receptor signaling, and leukocyte migration. The CLP model uniquely replicated neutrophil chemotaxis, apoptosis, ER stress, IL-17, and TNF signaling. SOCS3 was validated as a potential SLI biomarker. Discussion: Murine models partially replicate human SLI pathology but exhibit distinct mechanistic emphases. Careful model selection is essential for biomarker discovery (e.g., SOCS3) and pathogenic mechanism exploration, highlighting inherent model limitations.

Indexed as

LiverLiver DiseasesSepsisTranscriptomeAnimalsBiomarkersDisease Models, AnimalFemaleGene Expression ProfilingHumansLipopolysaccharidesMaleMiceMice, Inbred C57BLBiomarkersLipopolysaccharidescecal ligation modelimmune infiltrationlipopolysaccharidemicroarraySLISOCS3

Identifiers

PMID40808951
PMCPMC12343667

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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.