Evidence map›Paper›PMID 40612794›Full record

ArticleFrontiers in genetics2025

Identification of biomarkers associated with mitochondrial dysfunction and programmed cell death in chronic obstructive pulmonary disease via transcriptomics.

Xiaojuan Yang, Yutao Duan, Lei Qiu, Xia Huang, Fei Li

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Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers 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

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaojuan YangDepartment of Pulmonary and Critical Care Medicine, Shanxi Provincial People's Hospital, Taiyuan, China.
Yutao DuanRadiology Department, The First People's Hospital of Jinzhong, Jinzhong, Shanxi, China.
Lei QiuDepartment of Pulmonary and Critical Care Medicine, Shanxi Provincial People's Hospital, Taiyuan, China.
Xia HuangThe Fifth Clinical Medical College of Shanxi Medical University, Taiyuan, China.
Fei LiDepartment of Pulmonary and Critical Care Medicine, Shanxi Provincial People's Hospital, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Research has demonstrated that the homeostasis of mitochondria and programmed cell death (PCD) are intimately linked to chronic obstructive pulmonary disease (COPD). Consequently, identifying biomarkers of COPD from mitochondria-related genes (MRGs) and programmed cell death-related genes (PCD-RGs) is of paramount importance. Methods: Differentially expressed genes (DEGs) from the GSE42057 dataset and COPD-related genes (COPD-RGs) via weighted gene co-expression network analysis (WGCNA) were intersected with MRGs and PCD-RGs to select candidates. Machine learning identified biomarkers, validated across GSE42057 and GSE94916 datasets. Pathway enrichment, immune infiltration, and drug prediction analyses were performed. Results: Eight candidate genes were derived from intersecting DEGs, COPD-RGs, MRGs, and PCD-RGs. Five biomarkers (BCL2, CCR7, FAM162A, FOXO1, RPS3) were identified, showing consistent dysregulation in COPD. These biomarkers activated the "ribosome" pathway. CCR7 and FOXO1 correlated positively with naïve B cells, while BCL2 negatively correlated with M0 macrophages. BCL2 exhibited strong binding to dolastatin 10, beauvericin, and micellar paclitaxel. RT-qPCR confirmed biomarker expression. Conclusion: BCL2, CCR7, FAM162A, FOXO1, and RPS3 are biomarkers for COPD, providing a new breakthrough point for the treatment of this disease.

Indexed as

biomarkerschronic obstructive pulmonary diseaseimmune infiltrationmitochondriaprogrammed cell death

Identifiers

PMID40612794
PMCPMC12222144

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