Evidence map›Paper›PMID 42040311›Full record

ArticleJournal of inflammation research2026

Identification and Validation of Ferroptosis-Related Biomarkers and Therapeutic Targets in ARDS: A Bioinformatics and Experimental Study.

Biying Dong, Bing Zhong, Jing Zuo, Longxiong Liao, Weitong Zeng, Minjun Xiong, Yi Wei, Dongwei Zhang, Xianming Fan

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Article in Journal of inflammation research, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Biying Dong *Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.ORCID 0009-0000-6795-5205
Bing Zhong *Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.
Jing Zuo *Department of Pulmonary Disease, Jiang 'an County Hospital of Traditional Chinese Medicine, Yibin, Sichuan, People's Republic of China.
Longxiong LiaoDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.
Weitong ZengDepartment of Respiratory and Critical Care Medicine, Liuzhou People's Hospital, Guangxi Medical University, Liuzhou, Guangxi, People's Republic of China.
Minjun XiongDepartment of Respiratory and Critical Care Medicine, Liuzhou People's Hospital, Guangxi Medical University, Liuzhou, Guangxi, People's Republic of China.
Yi WeiDepartment of Respiratory and Critical Care Medicine, Liuzhou People's Hospital, Guangxi Medical University, Liuzhou, Guangxi, People's Republic of China.
Dongwei ZhangDepartment of Respiratory and Critical Care Medicine, Liuzhou People's Hospital, Guangxi Medical University, Liuzhou, Guangxi, People's Republic of China.
Xianming FanDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute respiratory distress syndrome (ARDS) is a severe inflammatory lung disease with high mortality and limited effective therapies. Recent studies link ferroptosis-an iron-dependent regulated cell death-to ARDS pathogenesis. This study aimed to identify/validate ferroptosis-related diagnostic biomarkers, therapeutic targets, and fecal microbiota transplantation (FMT)'s protective role in ARDS. Methods: Bioinformatic analyses of GEO datasets (GSE76293/GSE151263) included differential expression profiling, WGCNA, PPI network, and machine learning (LASSO/RF) to screen hub genes, with ROC analysis for diagnostic efficacy. An LPS-induced ARDS rat model with FMT intervention was validated via qRT-PCR, IHC, Western blot, and histological staining. Results: Thirty-seven ferroptosis-linked differentially expressed genes (FDEGs) were identified, enriched in ferroptosis, mitophagy, and immune pathways. Three hub genes (MAPK8, CREB1, GPX4) showed robust diagnostic utility (LASSO AUC=0.931; RF AUC=0.993 in GSE76293) and correlated with monocytes/neutrophils/activated NK cells. LPS suppressed their mRNA/protein levels in rats, reversed by FMT. Conclusion: MAPK8, CREB1, and GPX4 are potential diagnostic biomarkers and therapeutic targets for ARDS. FMT protects against ARDS by reversing these genes' downregulation and suppressing ferroptosis, providing new insights into ARDS pathogenesis and ferroptosis-targeted interventions.

Indexed as

acute respiratory distress syndromeCREB1fecal microbiota transplantationferroptosisGPX4MAPK8

Identifiers

PMID42040311
PMCPMC13109986

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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.