Evidence map›Paper›PMID 40406908›Full record

ArticleThe Journal of international medical research2025

The therapeutic potential of irisin in alleviating acute lung injury via inflammation and ferroptosis modulation.

Feng Zhang, Jiangpeng Wang, Wei Wang, Gang Chen, Huan Tang, Xuezhen Zhai

Abstract read
In one paragraph

Article in The Journal of international medical research, 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. 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.

Feng ZhangDepartment of Pediatrics, Huaiyin Maternal and Child Health Hospital, China.ORCID 0009-0008-5250-2789
Jiangpeng WangDepartment of Cardiovascular Medicine, Huai'an Fifth People's Hospital, China.
Wei WangDepartment of Cardiovascular Medicine, Huai'an Fifth People's Hospital, China.
Gang ChenDepartment of Respiratory Medicine, Huai'an Fifth People's Hospital, China.
Huan TangDepartment of Cardiovascular Medicine, Huai'an Fifth People's Hospital, China.
Xuezhen ZhaiDepartment of Infectious Diseases, Huai'an Fifth People's Hospital, Huai'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveAcute lung injury is a fatal complication triggered by sepsis, characterized by widespread inflammation and weakening of the alveolar epithelium. Irisin has been reported to exert anti-inflammatory effects, which are produced by the cleavage of fibronectin type III domain-containing protein 5 in skeletal muscle. Here, we investigated the potential of irisin in preventing acute lung injury by protecting the alveolar epithelium.MethodsThe sepsis-related acute lung injury model was established by a cecal ligation and puncture model in C57/BL6N mice. Lung histology was assessed using hematoxylin and eosin and Masson staining. Ferroptosis-related proteins and genes were quantified via western blot and quantitative polymerase chain reaction, respectively, whereas cytokine levels were measured using enzyme-linked immunosorbent assay.ResultsHistological analysis revealed lung injury in the cecal ligation and puncture group, alongside elevated levels of cytokines such as IL-1β, IL-18, and TNF-α compared with controls. Treatment with irisin mitigated sepsis-induced lung damage and reduced oxidative stress, as indicated by reactive oxygen species and Fe

Indexed as

Acute Lung InjuryFerroptosisFibronectinsInflammationSepsisAnimalsCytokinesDisease Models, AnimalLungMaleMiceMice, Inbred C57BLOxidative StressReactive Oxygen SpeciesCytokinesFibronectinsFNDC5 protein, mouseReactive Oxygen SpeciesFerroptosisinflammationirisinlung injurysepsis

Identifiers

PMID40406908
PMCPMC12102538

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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.