Evidence map›Paper›PMID 39899131›Full record

ArticleInflammation2025

Targeting Lcn2 to Inhibit Myocardial Cell Ferroptosis is a Potential Therapy for Alleviating Septic Cardiomyopathy.

Cheng Jiang, MingTong Hou, Shougang Sun, Gang Chen, Feng Bai, Shengbao Wang

Abstract read
In one paragraph

Article in Inflammation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
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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

6 authors.

Cheng JiangCardiology Department of Lanzhou, University Second Hospital, Lanzhou, China.
MingTong HouThe Second Hospital &Clinical Medical School, Lanzhou University, Lanzhou, China.
Shougang SunCardiology Department of Lanzhou, University Second Hospital, Lanzhou, China.
Gang ChenCardiology Department of Lanzhou, University Second Hospital, Lanzhou, China.
Feng BaiCardiology Department of Lanzhou, University Second Hospital, Lanzhou, China.
Shengbao WangEmergency Department of Lanzhou, University Second Hospital, Lanzhou, China. wangshengbao@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Septic cardiomyopathy (SCM) represents a key feature of sepsis-associated cardiovascular failure, and ferroptosis is one of the essential causes of septic cardiac dysfunction. In this study, combined with omics analysis and in vivo experiments, we verified the damage of ferroptosis on cardiac tissue in septic mice and mined the target genes that can inhibit ferroptosis in cardiomyocytes. Lipocalin-2 (Lcn2) was identified to be associated with SCM progression via integrated transcriptomic and proteomic analyses. Sepsis was induced by cecal ligation and perforation (CLP) in mice. Ferroptosis and cardiac dysfunction were detected by pathological tissue staining and ELISA. However, after the knockout of Lcn2, cardiomyocyte ferroptosis was significantly suppressed, inflammatory infiltrates were reduced, reactive oxygen species (ROS) levels were lowered, mitochondrial damage was alleviated, and cardiac function was restored in CLP mice. In summary, this study found that Lcn2 can be a potential target for inhibiting ferroptosis in SCM. Targeting Lcn2 can effectively inhibit inflammation, improve mitochondrial dysfunction, inhibit cardiomyocyte ferroptosis, and alleviate SCM.

Indexed as

CardiomyopathiesFerroptosisLipocalin-2Myocytes, CardiacSepsisAnimalsMaleMiceMice, Inbred C57BLMice, KnockoutReactive Oxygen SpeciesLcn2 protein, mouseLipocalin-2Reactive Oxygen SpeciesFerroptosisInflammationLcn2Myocardial injurySeptic cardiomyopathy

Identifiers

PMID39899131
PMCPMC12596311

What OpenQuestion holds

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Registered trials

None linked

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.