Evidence map›Paper›PMID 40820372›Full record

ArticleJournal of gastroenterology and hepatology2025

Hepatic Inflammation and Liver Injury in a Model of Bacterial Infection Triggered Acute-on-Chronic Liver Injury.

S C Karatayli, S N Weber, R A Hall, M Hohl, L Kaps, J M Schattenberg, F Lammert, E Karatayli

Abstract read
In one paragraph

Article in Journal of gastroenterology and hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

S C KaratayliDepartment of Medicine II, Saarland University Medical Center, Homburg, Germany.
S N WeberDepartment of Medicine II, Saarland University Medical Center, Homburg, Germany.
R A HallDepartment of Medicine II, Saarland University Medical Center, Homburg, Germany.
M HohlDepartment of Internal Medicine III, Saarland University Hospital and Saarland University, Homburg, Germany.
L KapsDepartment of Medicine II, Saarland University Medical Center, Homburg, Germany.
J M SchattenbergDepartment of Medicine II, Saarland University Medical Center, Homburg, Germany.
F LammertHannover Health Sciences Campus, Hannover Medical School (MHH), Hannover, Germany.
E KaratayliDepartment of Medicine II, Saarland University Medical Center, Homburg, Germany.ORCID https://orcid.org/0000-0002-7878-6520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimAcute-on-chronic liver failure (ACLF) is characterized by acute decompensation of chronic liver disease in the presence of an acute trigger, and bacterial infection (BI) is the most common trigger of ACLF. Therefore, we aimed to establish a mouse model that mimics bacterial infection-related acute-on-chronic liver failure (BI-ACLF) to study the ongoing pathophysiological processes during disease progression.

methodsWild-type C57BL/6J (n = 12; wild-type, WT) and Abcb4

resultsHepatic cytokines and chemokines, monocyte chemoattractant protein-1 (Mcp-1), interleukins Il-2, Il-22, and regulated on activation, normal T-cell expressed and secreted (Rantes) were significantly upregulated in mice of KO-LPS groups compared to their counterparts. Induction of pyroptosis, apoptosis, and macrophage polarization towards the M1 phenotype was evident.

conclusionDifferential expression of hepatic cytokines and chemokines in Abcb4

Indexed as

Acute-On-Chronic Liver FailureBacterial InfectionsLiverAnimalsApoptosisCytokinesDisease Models, AnimalDisease ProgressionLipopolysaccharidesMaleMiceMice, Inbred C57BLMice, KnockoutCytokinesLipopolysaccharides

Identifiers

PMID40820372
PMCPMC12511834

What OpenQuestion holds

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Registered trials

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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.