Functional Interactomes of Genes Showing Association with Type-2 Diabetes and Its Intermediate Phenotypic Traits Point towards Adipo-Centric Mechanisms in Its Pathophysiology
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Updated: Dec 24, 2025

An Adipocyte Cell Culture Model to Study the Impact of Protein and Micro-RNA Modulation on Adipocyte Function
Published on: May 4, 2021
Aditya Saxena1, Nitin Wahi2, Anshul Kumar3
1Department of Biotechnology, Institute of Applied Sciences and Humanities, GLA University, Mathura 281 406, India.
Abstract:
The pathogenic mechanisms causing type 2 diabetes (T2D) are still poorly understood; a greater awareness of its causation can lead to the development of newer and better antidiabetic drugs. In this study, we used a network-based approach to assess the cellular processes associated with protein-protein interaction subnetworks of glycemic traits-HOMA-β and HOMA-IR. Their subnetworks were further analyzed in terms of their overlap with the differentially expressed genes (DEGs) in pancreatic, muscle, and adipose tissue in diabetics. We found several DEGs in these tissues showing an overlap with the HOMA-β subnetwork, suggesting a role of these tissues in β-cell failure. Many genes in the HOMA-IR subnetwork too showed an overlap with the HOMA-β subnetwork. For understanding the functional theme of these subnetworks, a pathway-to-pathway complementary network analysis was done, which identified various adipose biology-related pathways, containing genes involved in both insulin secretion and action. In conclusion, network analysis of genes showing an association between T2D and its intermediate phenotypic traits suggests their potential role in beta cell failure. These genes enriched the adipo-centric pathways and were expressed in both pancreatic and adipose tissue and, therefore, might be one of the potential targets for future antidiabetic treatment.
Insights
Understanding type 2 diabetes (T2D) mechanisms is key for new treatments. Network analysis reveals adipose tissue pathways linked to insulin secretion and action, potentially targeting beta cell failure.
Area of Science:
- Metabolic diseases
- Systems biology
- Genomics
Background:
- Pathogenic mechanisms of type 2 diabetes (T2D) remain incompletely understood.
- Developing novel antidiabetic drugs requires deeper insights into T2D causation.
Purpose of the Study:
- To investigate cellular processes linked to glycemic traits (HOMA-β and HOMA-IR) using a network-based approach.
- To identify potential therapeutic targets for T2D by analyzing gene expression patterns in relevant tissues.
Main Methods:
- Utilized a network-based approach to analyze protein-protein interaction subnetworks of HOMA-β and HOMA-IR.
- Examined overlap between these subnetworks and differentially expressed genes (DEGs) in pancreatic, muscle, and adipose tissues of diabetic individuals.
- Performed pathway-to-pathway complementary network analysis to identify functional themes.
Main Results:
- Identified DEGs in pancreatic, muscle, and adipose tissues overlapping with the HOMA-β subnetwork, suggesting tissue roles in β-cell failure.
- Observed significant overlap between HOMA-IR and HOMA-β subnetworks.
- Discovered adipose biology-related pathways enriched in genes involved in both insulin secretion and action.
Conclusions:
- Network analysis implicates specific genes and adipo-centric pathways in T2D pathogenesis and β-cell failure.
- Genes identified in pancreatic and adipose tissues represent potential targets for future antidiabetic therapies.
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