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Cross-Study Meta-Analysis of Blood Transcriptomes in Type 2 Diabetes.

Aleksandr A Tkachenko1, Ziravard N Tonyan1, Yulia A Nasykhova1

  • 1D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia.

International Journal of Molecular Sciences
|December 30, 2025
PubMed
Summary
This summary is machine-generated.

Discovering biomarkers for type 2 diabetes (T2D) from blood transcriptomics is challenging due to low concordance across studies. Meta-analysis identified novel genes related to neutrophil activation, suggesting potential T2D biomarkers.

Keywords:
RNA sequencingRNAseqblood transcriptomeexpression profilingmeta-analysistype 2 diabetes

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Area of Science:

  • Genomics
  • Molecular Biology
  • Metabolic Disorders

Background:

  • Type 2 Diabetes (T2D) affects over 422 million globally, necessitating research into its genetic basis.
  • Genomic and transcriptomic studies are crucial for understanding T2D mechanisms and identifying biomarkers.
  • Blood RNA sequencing offers insights into molecular pathways but faces challenges in consistent biomarker discovery.

Purpose of the Study:

  • To perform a meta-analysis of bulk RNA sequencing data from Type 2 Diabetes (T2D) patients and controls.
  • To identify robust differentially expressed genes (DEGs) across multiple blood transcriptomic studies.
  • To uncover novel genes associated with T2D pathogenesis and potential biomarker utility.

Main Methods:

  • Bulk RNA sequencing was performed on whole blood from nine T2D patients and nine controls.
  • Meta-analysis combined these data with seven public blood RNA-seq datasets.
  • Gene expression data were analyzed to identify differentially expressed genes (DEGs) and enriched pathways.

Main Results:

  • Low concordance in gene expression changes was observed across individual studies.
  • Only five DEGs (FBLN2, TPCN1, PC, SHANK1, PLD4) were consistently identified in three datasets.
  • Cross-study meta-analysis revealed 2065 DEGs, including 713 novel genes, enriched for neutrophil activation pathways.

Conclusions:

  • Biomarker discovery from blood transcriptomics in T2D presents significant challenges due to inter-study variability.
  • Novel genes identified through meta-analysis, particularly those linked to neutrophil function, warrant further investigation as potential T2D biomarkers.
  • The study highlights the complexity of T2D genetics and the need for integrated approaches in biomarker research.