Back

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

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

2026-07-07 physiology
10.64898/2026.07.01.735944 bioRxiv
Show 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.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 18%
9.9%
2
The FASEB Journal
194 papers in training set
Top 0.2%
6.8%
3
Scientific Reports
3612 papers in training set
Top 10%
6.8%
4
International Journal of Molecular Sciences
494 papers in training set
Top 1%
5.6%
5
American Journal of Physiology-Endocrinology and Metabolism
36 papers in training set
Top 0.1%
5.6%
6
Function
14 papers in training set
Top 0.1%
4.1%
7
Life Sciences
27 papers in training set
Top 0.1%
4.1%
8
eLife
5828 papers in training set
Top 31%
3.5%
9
Medicine & Science in Sports & Exercise
16 papers in training set
Top 0.2%
2.2%
10
Frontiers in Endocrinology
58 papers in training set
Top 0.6%
2.0%
50% of probability mass above
11
Journal of Cellular Physiology
25 papers in training set
Top 0.2%
1.9%
12
JCI Insight
277 papers in training set
Top 5%
1.5%
13
American Journal of Physiology-Heart and Circulatory Physiology
36 papers in training set
Top 0.8%
1.5%
14
Obesity
21 papers in training set
Top 0.3%
1.4%
15
Cells
249 papers in training set
Top 4%
1.4%
16
Frontiers in Physiology
106 papers in training set
Top 2%
1.1%
17
Acta Physiologica
17 papers in training set
Top 0.2%
1.1%
18
Physiological Genomics
16 papers in training set
Top 0.2%
1.1%
19
Aging Cell
165 papers in training set
Top 2%
1.1%
20
The Journal of Physiology
150 papers in training set
Top 2%
1.1%
21
PeerJ
308 papers in training set
Top 9%
1.1%
22
Communications Biology
993 papers in training set
Top 25%
1.0%
23
Bioscience Reports
27 papers in training set
Top 1%
1.0%
24
iScience
1154 papers in training set
Top 31%
1.0%
25
Cell Reports
1498 papers in training set
Top 25%
1.0%
26
Brain, Behavior, and Immunity
116 papers in training set
Top 2%
1.0%
27
Nature Communications
5641 papers in training set
Top 54%
1.0%
28
Journal of Applied Physiology
32 papers in training set
Top 0.6%
1.0%
29
Experimental Physiology
21 papers in training set
Top 0.5%
0.9%
30
Physiological Reports
40 papers in training set
Top 1%
0.9%