Combinatorial targeting of the miR-379/miR-410 cluster normalizes glucose and lipid homeostasis in male models of diabetes and obesity.

Authors

Manuel Gil-Lozano, Estefanía Simoes, Moya Wu, Tobias Wiedemann, Yun Kwon, Revathi Sekar, Pauline Morigny, Maria Troullinaki, Juliane Merl-Pham, Michael Buettner, Annette Feuchtinger, Celine Jouffe, Adriano Maida, Daniela Hass, Daniel Samaga, Gretchen Wolff, Juliano Machado, Maude Giroud, Katarina Klepac, Carolyn L Cummins, Marcos Ríos García, Peter Weber, Anja Zeigerer, N Henriette Uhlenhaut, Julia Szendroedi, Matthias Blüher, Stephan Herzig

Published in

Nature communications. Volume 17. Issue 1. Sep 21, 2026. Epub Sep 21, 2026.

Abstract

Non-coding RNAs from the Dlk1-Dio3 locus are critical for the maturation of metabolic tissues in early stages of postnatal development; however, their role in the mature organs remains elusive. Herein, we show that microRNAs from the miR-379/miR-410 cluster are robustly upregulated in livers of subjects with obesity and various mouse models of metabolic dysfunction. Adult-onset, combinatorial inhibition of this miRNA cluster by hepatocyte-specific expression of a decoy sequence reduces triglyceride, total and LDL cholesterol circulating levels, decreases basal glycemia and improves glucose tolerance and insulin sensitivity irrespective of sex. Consistent with the decoy-triggered enhancement of PI3K/mTOR signaling in these mice, hepatocytes expressing the combinatorial decoy show augmented mitochondrial mass and function. Notably, decoy therapy also ameliorates glucose and lipid homeostasis in both type 1 diabetic and diet-induced, type 2 pre-diabetic, obese male animals. Collectively, our results demonstrate that microRNAs from the miR-379/miR-410 cluster are critical regulators of metabolic homeostasis in the mature liver. Given the preservation of miRNA dysfunction in human obesity, hepatocyte-specific combinatorial inhibition of a large miRNA cluster represents an approach towards multi-parameter improvements in diabetes and obesity.

PMID:
42768048
Bibliographic data and abstract were imported from PubMed on 22 Sep 2026.

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