Insights into the molecular underpinning of type 2 diabetes complications

Archit Singh1,2,3, Ozvan Bocher2, Eleftheria Zeggini2,4

  • 1Technical University of Munich (TUM), TUM School of Medicine and Health, Graduate School of Experimental Medicine and Health Sciences, Ismaninger Straße 22, Munich 81675, Germany.

Human Molecular Genetics
|January 14, 2025
PubMed

Insights

Omics technologies offer insights into type 2 diabetes (T2D) complications like kidney disease and retinopathy. Integrating multi-omics and diverse ancestry data can improve complication risk prediction and treatment strategies.

Area of Science:

  • Genomics and Bioinformatics
  • Metabolic and Cardiovascular Diseases
  • Translational Medicine

Background:

  • Type 2 diabetes (T2D) complications represent a major global health burden.
  • Understanding the molecular underpinnings of T2D complications is crucial for effective management.
  • Omics technologies provide powerful tools for dissecting complex biological systems.

Purpose of the Study:

  • To review advancements in omics research for major T2D complications.
  • To highlight the importance of multi-omics integration and diverse ancestry data.
  • To inform strategies for improved risk prediction and translation of findings.

Main Methods:

  • Comprehensive literature review of genetic, epigenomic, transcriptomic, proteomic, and metabolomic studies.
  • Focus on four key T2D complications: diabetic kidney disease, retinopathy, neuropathy, and cardiovascular issues.
  • Analysis of studies across diverse ancestries and relevant tissue types.

Main Results:

  • Summary of key findings from various omics studies related to T2D complications.
  • Demonstration of the utility of individual omics layers in understanding disease mechanisms.
  • Emphasis on the synergistic insights gained from integrating multiple omics datasets.

Conclusions:

  • Multi-omics approaches are essential for a holistic understanding of T2D complication biology.
  • Incorporating ancestrally diverse populations is critical for generalizable findings and equitable healthcare.
  • This research paves the way for enhanced predictive models and targeted therapeutic interventions for T2D complications.

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