Identification and validation of potential shared diagnostic markers for sepsis-induced ARDS and cardiomyopathy via WGCNA and machine learning

Five genes were identified as diagnostic biomarkers for sepsis-induced ARDS and cardiomyopathy, with SOCS3 serving as a key hub gene and potential therapeutic target.

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Publication Details

Journal
Frontiers in Molecular Biosciences
Published
2025-11-11
DOI
https://doi.org/10.3389/fmolb.2025.1665387
Citations
2
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.71

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article

Identification and validation of potential shared diagnostic markers for sepsis-induced ARDS and cardiomyopathy via WGCNA and machine learning

Baoyue Huang, Kunlin Hu, Bin Xiong, Wei Jing et al.
2 citations
Frontiers in Molecular Biosciences
Sepsis Diagnosis and Treatment
2.71
article

Identification and validation of potential shared diagnostic markers for sepsis-induced ARDS and cardiomyopathy via WGCNA and machine learning

Baoyue Huang, Kunlin Hu, Bin Xiong, Wei Jing, Shulin Xiang
article en
2 citations

Abstract

Five genes were identified as diagnostic biomarkers for sepsis-induced ARDS and cardiomyopathy, with SOCS3 serving as a key hub gene and potential therapeutic target.

Frontiers in Molecular BiosciencesVol. 12
Guangxi Zhuang Autonomous Region Health and Family Planning (CN), The People's Hospital of Guangxi Zhuang Autonomous Region (CN)
Natural Science Foundation of Guangxi Zhuang Autonomous Region, Guangxi Key Research and Development Program, Specific Research Project of Guangxi for Research Bases and Talents
Openalex Percentile: Top 8%
Sepsis Diagnosis and Treatment
2.71
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