Evidence map›Paper›PMID 40246773›Full record

ArticleCell biochemistry and biophysics2025

Difference Analysis of MiRNA Expression Profiles in Aged Female Rat Adipose Tissue Regulated by HIIT and MICT.

Pinshi Ni, Yingmin Su, Zhuangzhi Wang, Jianmei Cui, Peng Lu, Fanghui Li

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Article in Cell biochemistry and biophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Pinshi NiSchool of Sport Sciences, Nanjing Normal University, Nanjing, China.
Yingmin SuInstitute of Physical Education, North University of China, Taiyuan, China.
Zhuangzhi WangSchool of Sport Sciences, Nanjing Normal University, Nanjing, China.
Jianmei CuiInstitute of Physical Education, North University of China, Taiyuan, China.
Peng LuJiangsu Sports Science Research Institute, Nanjing, China. 250235723@qq.com.
Fanghui LiSchool of Sport Sciences, Nanjing Normal University, Nanjing, China. 12356@njnu.edu.cn.ORCID http://orcid.org/0000-0002-6612-7608

Funding

National Natural Science Foundation of China 32371180
6 · The paper itself

Abstract

Aging is frequently associated with dysregulated lipid metabolism, while exercise may improve metabolic health, a process in which microRNAs (miRNAs) play a pivotal regulatory role. However, the specific modulation of miRNA expression profiles by different exercise modalities remains poorly characterized. This study aimed to investigate adipose tissue miRNA profiles in aged rats following high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT). Eighteen-month-old female rats were divided into three groups (n = 12/group): sedentary (SED), MICT, and HIIT. After 8 weeks of exercise interventions, metabolic outcomes were assessed using Oil Red O staining to quantify intracellular lipid deposition, alongside Western blotting, immunofluorescence, and RT-qPCR to evaluate mRNA and protein expression of adipose tissue markers. Additionally, miRNA sequencing was performed on visceral adipose tissue to identify differentially expressed miRNAs (DEMs), followed by bioinformatic prediction of miRNA-mRNA interactions. Key findings revealed that the HIIT group exhibited more pronounced metabolic benefits compared to MICT, including reduced lipid accumulation (fewer Oil Red O-positive adipocytes) and upregulated expression of lipolytic and autophagy-related proteins (ATGL, HSL, PPAR-γ, ATG3, ATG5, ATG7, ATG12, and ATG16L). miRNA sequencing demonstrated greater divergence in expression profiles between HIIT and SED groups than between MICT and SED groups. KEGG pathway analysis highlighted significant enrichment in the MAPK, PI3K-Akt, and Rap1 signaling pathways. Furthermore, 11 DEMs (e.g., miR-34a, miR-146a) were identified as potential regulators of adipose aging, with hub genes including Shc1, Grb2, Itgb1, Ptpn11, Mapk14, Fyn, Plcg1, Sos1, and Actg1. In conclusion, HIIT significantly ameliorates age-related adipocyte inflammation and metabolic dysfunction. Exercise-induced miRNA reprogramming may alleviate the functional decline of aged adipose tissue, and HIIT-induced miRNA reprogramming is more abundant. The miRNA sequencing data pinpoint critical regulatory genes and pathways, providing novel insights into the molecular mechanisms by which exercise counteracts metabolic abnormalities in aged adipose tissue.

Indexed as

Adipose TissueAgingHigh-Intensity Interval TrainingMicroRNAsPhysical Conditioning, AnimalAnimalsFemaleLipid MetabolismRatsRats, Sprague-DawleyMicroRNAsAgingExercise physiologyHigh-intensity interval trainingLipid metabolismMicroRNAModerate-intensity continuous training

Identifiers

PMID40246773

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.