High-Intensity Interval Training Remodels Adipose Tissue Inflammatory Signaling and Enhances Immunometabolic Health via microRNA Regulation

Authors

Sadeghi Mohammadi, M., Marandi, S. M., Rezaee, Z., Saner, N. J., Poosti, M.

Abstract

Sedentary behavior promotes chronic low-grade inflammation in adipose tissue, contributing to metabolic dysfunction and insulin resistance. High-intensity interval training (HIIT) is a time-efficient exercise strategy with potent anti-inflammatory and metabolic benefits; however, its effects on adipose tissue inflammatory signaling and microRNA (miRNA) regulation remain incompletely understood. This study investigated the effects of eight weeks of HIIT on inflammatory and epigenetic markers in interscapular white adipose tissue (iWAT) of male Wistar rats. Fourteen rats were randomly assigned to either a sedentary (SED; n = 7) or HIIT (n = 7) group. The HIIT protocol consisted of treadmill running five days per week for eight weeks. Body weight and iWAT mass were assessed, and molecular adaptations were evaluated at multiple regulatory levels using RT-qPCR for mRNA targets (NLRP3, TNF-, PPAR-{gamma}, and IL-10) and miRNAs (miR-21 and miR-30d-5p), while protein levels of NLRP3 and PPAR-{gamma} were assessed using Western blotting. Compared with the SED group, HIIT significantly reduced body weight (p < 0.001) and iWAT mass (p = 0.002). Furthermore, HIIT downregulated the expression of pro-inflammatory mediators, including NLRP3 (gene: p = 0.001; protein: p < 0.001) and TNF- (p = 0.025), while upregulating anti-inflammatory regulators PPAR-{gamma} (gene: p = 0.026; protein: p = 0.020) and IL-10 (p = 0.010). In parallel, inflammation-associated miRNAs, including miR-21 (p = 0.004) and miR-30d-5p (p = 0.002), were markedly downregulated. These coordinated transcriptional, post-transcriptional, and translational adaptations suggest that HIIT attenuates adipose tissue inflammation and promotes a favorable immunometabolic phenotype through integrated molecular and epigenetic mechanisms.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 08 Jul 2026.

Stats

1-terrible, 9-excellent. How would you rate this preprint? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.