Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach

AIM2 and RNF125 may serve as diagnostic biomarkers, and identified immune cell subsets could mediate the COPD-sepsis connection, offering insights into potential therapeutic targets.

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Publication Details

Journal
International Journal of COPD
Published
2025-05-01
DOI
https://doi.org/10.2147/copd.s510846
Citations
5
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
7.59
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article

Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach

Mingyi Zhao, Hanyong Zhang, Zaiqiu Zhang, Xupeng Zhang et al.
5 citations
International Journal of COPD
Chronic Obstructive Pulmonary Disease (COPD) Research
7.59
article

Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach

Mingyi Zhao, Hanyong Zhang, Zaiqiu Zhang, Xupeng Zhang, Xinyi Li, Lin Liu, Yuan Zhang, Meng Yang, Yuyang Xiao
article en
5 citations

Abstract

AIM2 and RNF125 may serve as diagnostic biomarkers, and identified immune cell subsets could mediate the COPD-sepsis connection, offering insights into potential therapeutic targets.

International Journal of COPDVol. Volume 20
Central South University (CN), Changsha Medical University (CN), Third Xiangya Hospital (CN)
Openalex Percentile: Top 3%
Chronic Obstructive Pulmonary Disease (COPD) Research
7.59
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