Computational-experimental strategy identifies Co-upregulated biomarkers linking coronary heart disease and type 2 diabetes pathogenesis
Wei Li, Yu Cao, Chen Yu, Bingjun Che, Miao He, Dongbiao Li, Lihong Jiang, Lijing Ma

TL;DR
This study identifies four biomarkers that are linked to both heart disease and type 2 diabetes, offering new diagnostic and therapeutic possibilities.
Contribution
The study introduces a novel computational-experimental approach to identify co-upregulated biomarkers shared between coronary heart disease and type 2 diabetes.
Findings
CPD, GGCT, SUZ12, and ZMYM2 are validated as shared diagnostic biomarkers for CHD and T2D.
These biomarkers show concurrent upregulation at both protein and mRNA levels in diseased vessels.
Aortic histopathology confirmed disease-specific changes in CHD and T2D mouse models.
Abstract
Coronary heart disease (CHD) and type 2 diabetes (T2D) represent a significant global comorbidity burden, with shared yet incompletely understood molecular mechanisms. This study aimed to identify shared diagnostic biomarkers and elucidate core pathways linking CHD and T2D pathogenesis. Integrated bioinformatics of CHD/T2D transcriptomes identified shared differentially expressed genes (DEGs) and co-expression modules via Weighted Gene Co-expression Network Analysis (WGCNA). Receiver operating characteristic (ROC) analysis selected CPD, GGCT, SUZ12, and ZMYM2 as top diagnostic biomarkers. These predictions were validated using C57BL/6 and ApoE−/− mouse models of T2D/CHD. Aortic tissues underwent histopathology (Hematoxylin and Eosin (H&E), Oil Red O, Sirius Red) and multi-level molecular assays (immunofluorescence, Western blot, reverse transcription quantitative polymerase chain…
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Taxonomy
TopicsBiomarkers in Disease Mechanisms · Genetic Associations and Epidemiology · GDF15 and Related Biomarkers
