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Co-Expressed MicroRNAs Identify Potential Mechanisms Underlying Risk for Multimorbid Depression and Type 2 Diabetes
Biorxiv : the Preprint Server for Biology
|June 22, 2026
Summary
Midlife women with prediabetes show increased risk for depression and type 2 diabetes (T2D). This study identified microRNAs (miRs) and their mRNA targets, revealing biological pathways involved in this psychometabolic risk.
Area of Science:
- Biomedical Science
- Genomics
- Women's Health
Background:
- Midlife women (40-64 years) disproportionately experience multimorbid depression and type 2 diabetes (T2D).
- Reproductive aging and biological changes during midlife contribute to this increased risk.
- Previous work identified co-expressed microRNAs (miRs) linked to high psychometabolic risk in prediabetic women.
Purpose of the Study:
- To identify messenger RNA (mRNA) targets regulated by specific miRs in midlife women with prediabetes.
- To explore biological pathways associated with these mRNA targets, elucidating mechanisms of psychometabolic risk.
- To provide insights into the complex interplay of factors contributing to multimorbid depression and T2D in this demographic.
Main Methods:
- Utilized baseline data from 603 midlife women in the Diabetes Prevention Program (DPP) with prediabetes.
- Performed in silico analyses using miRTarBase to identify mRNA targets of key co-expressed miRs.
- Conducted pathway enrichment analysis (KEGG) on predicted mRNA targets and thematically clustered pathways.
Main Results:
- Identified 13 mRNAs targeted by miRs associated with higher psychometabolic risk.
- Revealed 71 overrepresented KEGG pathways involving metabolic, inflammatory, endocrine, and stress-related processes.
- Uncovered multisystem biological themes underlying risk for multimorbid depression and T2D.
Conclusions:
- Identified specific mRNA targets and biological pathways implicated in psychometabolic risk for multimorbid depression and T2D in midlife women.
- Findings support the use of miRs as context-sensitive biomarkers for complex conditions in women.
- Highlights potential for precision health research and mechanistic targets for intervention in high-risk populations.
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