Evidence map›Paper›PMID 41899462›Full record

ArticleCurrent issues in molecular biology2026

Maresin-1 Alleviates Sepsis-Induced Liver Injury by Regulating Apoptosis and Autophagy via Activation of the PI3K/Akt Signaling Pathway in Mice.

He Wang, Min Sun, Heng Fan

Abstract read
In one paragraph

Article in Current issues in molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

He WangDepartment of Intensive Care Unit, The First Affiliated Hospital of Ningbo University, Ningbo 315000, China.
Min SunDepartment of Intensive Care Unit, The First Affiliated Hospital of Ningbo University, Ningbo 315000, China.
Heng FanDepartment of Intensive Care Unit, The First Affiliated Hospital of Ningbo University, Ningbo 315000, China.

Funding

Ningbo Clinical Research Center for Emergency and Critical Diseases No.2024L003the Huadong Medicine Joint Funds of the Project of Ningbo Key R&D Plan and "Unveiling and Leading" No.2023Z174the Zhejiang Provincial Medical and Health Science Foundation of China No. 2024KY312
6 · The paper itself

Abstract

Sepsis-induced liver injury (SILI) stands as an independent prognostic factor for mortality among patients diagnosed with sepsis. Maresin-1 (MaR1) is a proresolving lipid mediator. However, its significance in SILI is uncertain. The current study sought to investigate MaR1's effectiveness in treating SILI, as well as its molecular mechanism. In male C57BL/6J mice, we generated a SILI model by using cecal ligation and puncture (CLP). We further investigated how MaR1 influences inflammation, hepatic autophagy and apoptosis. We showed that treatment with MaR1 ameliorates SILI-induced hepatic injury, as reflected in decreased blood level of the alanine aminotransferase (ALT) and aspartate aminotransferase (AST) enzymes, as well as better appearance of liver tissues. Furthermore, this medication markedly reduced the expression of inflammatory mediators. Importantly, MaR1 inhibited hepatocyte apoptosis by regulating the Bax/Bcl-2 ratio, decreasing cleaved caspase-3 expression, lowering apoptotic cell count, and increasing autophagy. The findings demonstrated that MaR1 treatment reduced p62 protein expression while raising Beclin1 levels and the LC3-II/LC3-I ratio, and facilitated autophagosome formation. The observed effects were most likely due to the stimulation of PI3K/Akt signaling, which was completely prevented by LY294002 (LY), a specific PI3K inhibitor. MaR1's protective effect in SILI may be mediated via stimulation of the PI3K/Akt pathway, which reduces inflammation and regulates apoptosis and autophagy. Our results give additional experimental evidence of the potential therapeutic uses of MaR1 in the treatment of SILI.

Indexed as

Aktapoptosisautophagymale miceMaresin-1sepsis-induced liver injury

Identifiers

PMID41899462
PMCPMC13026024

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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 Socratic graph.