Comprehensive bioinformatics analysis identifies metabolic and immune-related diagnostic biomarkers shared between diabetes and COPD using multi-omics and machine learning

Comprehensive bioinformatics analysis identifies metabolic and immune-related diagnostic biomarkers shared between diabetes and COPD using multi-omics and machine learning

BackgroundDiabetes and chronic obstructive pulmonary disease (COPD) are prominent global health challenges, each imposing significant burdens on affected individuals, healthcare systems, and society. However, the specific molecular mechanisms supporting their interrelationship have not been fully de...

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Bibliographic Details
Main Authors: Qianqian Liang, Yide Wang, Zheng Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Endocrinology
Subjects:
diabetes
COPD
machine learning
shared biomarkers
inflammation
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2024.1475958/full
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