Identifying disrupted pathways by tracking altered modules in type 2 DM-related heart failure.

Area of Science:

• Cardiovascular Biology
• Metabolic Disease Research
• Systems Biology

Background:

• Type 2 diabetes mellitus (T2DM) significantly increases the risk of heart failure.
• Understanding the molecular mechanisms underlying T2DM heart failure is crucial for effective treatment.
• Protein-protein interaction (PPI) networks offer a systems-level view of cellular processes.

Purpose of the Study:

• To identify disrupted biological pathways in T2DM heart failure.
• To systematically analyze altered modules within reweighted PPI networks.
• To uncover novel therapeutic targets for T2DM-associated heart complications.

Main Methods:

• Integrated gene expression data with PPI networks for non-T2DM and T2DM heart failure subjects.
• Constructed and reweighted PPI networks using Spearman's correlation coefficient (SCC).
• Employed a clique-merging algorithm and maximum-weight bipartite matching to identify disrupted modules, followed by pathway enrichment analysis.

Main Results:

• Identified 804 disrupted modules by comparing non-T2DM and T2DM heart failure networks.
• Genes within disrupted modules were significantly enriched in 39 biological pathways (p < 1.00E-06).
• The most significantly enriched pathways included focal adhesion, vascular endothelial growth factor (VEGF) signaling, and mitogen-activated protein kinase (MAPK) signaling.

Conclusions:

• Focal adhesion, VEGF signaling, and MAPK signaling pathways are critically involved in T2DM heart failure.
• These pathways represent potential targets for therapeutic intervention in T2DM heart failure.
• The findings provide a systems biology perspective on T2DM heart failure pathogenesis.