Gene co-expression networks are associated with obesity-related traits in kidney transplant recipients

Area of Science:

• Genomics
• Transplantation Medicine
• Metabolic Research

Background:

• Obesity is prevalent in kidney transplant recipients, but its underlying biological mechanisms remain unclear.
• Subcutaneous adipose tissue, accessible during surgery, offers a valuable resource for studying obesity in this population.
• Gene co-expression analysis provides a systems-level perspective on coordinated gene activity, complementing differential gene expression studies.

Purpose of the Study:

• To investigate gene co-expression patterns associated with obesity in kidney transplant recipients.
• To identify specific gene modules and biological processes linked to obesity-related traits in this cohort.
• To gain a deeper understanding of the molecular underpinnings of obesity in the context of kidney transplantation.

Main Methods:

• Collected demographic, clinical, and microarray gene expression data from 26 kidney transplant patients.
• Applied Weighted Gene Correlation Network Analysis (WGCNA) to 5758 highly expressed genes.
• Correlated gene co-expression modules with obesity-related clinical traits.

Main Results:

• Identified 35 co-expression modules, with two significantly associated with obesity traits at baseline.
• Performed Gene Ontology (GO) enrichment analysis on the identified modules.
• One module (129 genes) was enriched for cellular homeostasis and immune responses; another (36 genes) for tissue development.

Conclusions:

• Generated novel gene co-expression modules linked to obesity in kidney transplant recipients.
• Provided new insights into the cellular and biological processes contributing to obesity in this specific patient population.
• Highlighted the potential of adipose tissue gene expression analysis for understanding obesity in transplant recipients.