Integrated miRNA-mRNA Analysis Reveals Obesity-Driven Regulatory Networks in Human Visceral Adipose Tissue With and Without Type 2 Diabetes

Early human evidence such as case series or small samples is exploring possible benefits.

• Level A · Stronger Clinical Evidence
• Level B · Emerging clinical evidence with positive signals
• Level C · Early human research exploring benefits
• Level D · Scientific groundwork from lab and animal studies
• Emerging · Emerging topic under active research

Abstract (original English)

Aims Obesity is characterised by pathological alterations in visceral white adipose tissue (vWAT) that may contribute to the development of type 2 diabetes (T2D). While microRNAs (miRNAs) are key post-transcriptional regulators, comprehensive human vWAT profiling across metabolic states remains limited. This study characterised vWAT miRNA expression in lean, obese and obese+T2D individuals to identify obesity-driven regulatory networks associated with metabolic dysfunction. Methods Deep miRNA sequencing was performed on vWAT samples from a discovery cohort comprising lean controls and individuals with obesity (with and without T2D). Findings were validated via RT-qPCR in an independent replication cohort. Differentially expressed miRNAs were bioinformatically integrated with matched mRNA transcriptomic data to construct putative functional regulatory associations and identify enriched pathways underlying metabolic impairment. Results The dominant transcriptomic signal was driven by obesity rather than T2D status, with substantial overlap between obese subgroups in principal component analyses. miR-141-3p, miR-200b-3p, miR-12 136 and miR-585-3p showed consistent differential expression associated with obesity. miR-141-3p and miR-200b-3p were upregulated and inversely associated with metabolic stress-related genes, including TF and FBXO32. Integrated miRNA-mRNA analyses revealed

Evidence level

Early human evidence such as case series or small samples is exploring possible benefits.

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