Adipose-derived exosomes block muscular stem cell proliferation in aged mouse by delivering miRNA Let-7d-3p that targets transcription factor HMGA2.


Journal

The Journal of biological chemistry
ISSN: 1083-351X
Titre abrégé: J Biol Chem
Pays: United States
ID NLM: 2985121R

Informations de publication

Date de publication:
07 2022
Historique:
received: 27 12 2021
revised: 29 05 2022
accepted: 31 05 2022
pubmed: 10 6 2022
medline: 27 7 2022
entrez: 9 6 2022
Statut: ppublish

Résumé

Sarcopenia is an aging-associated attenuation of muscular volume and strength and is the major cause of frailty and falls in elderly individuals. The number of individuals with sarcopenia is rapidly increasing worldwide; however, little is known about the underlying mechanisms of the disease. Sarcopenia often copresents with obesity, and some patients with sarcopenia exhibit accumulation of peri-organ or intra-organ adipose tissue as ectopic fat deposition, including atrophied skeletal muscle. In this study, we showed that transplantation of the perimuscular adipose tissue (PMAT) to the hindlimb thigh muscles of young mice decreased the number of integrin α7/CD29-double positive muscular stem/progenitor cells and that the reaction was mediated by PMAT-derived exosomes. We also found that the inhibition of cell proliferation was induced by Let-7d-3p miRNA that targets HMGA2, which is an important transcription factor for stem cell self-renewal, in muscular stem/progenitor cells and the composite molecular reaction in aged adipocytes. Reduction of Let-7 miRNA repressor Lin28 A/B and activation of nuclear factor-kappa B signaling can lead to the accumulation of Let-7d-3p in the exosomes of aged PMAT. These findings suggest a novel crosstalk between adipose tissue and skeletal muscle in the development of aging-associated muscular atrophy and indicate that adipose tissue-derived miRNAs may play a key role in sarcopenia.

Identifiants

pubmed: 35679898
pii: S0021-9258(22)00539-7
doi: 10.1016/j.jbc.2022.102098
pmc: PMC9257422
pii:
doi:

Substances chimiques

HMGA2 Protein 0
MicroRNAs 0
Transcription Factors 0
mirnlet7 microRNA, mouse 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102098

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of interests The authors declare that they have no conflicts of interest with the contents of this article.

Auteurs

Maki Itokazu (M)

Department of Rehabilitation Medicine, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.

Yuta Onodera (Y)

Institute of Advanced Clinical Medicine, Kindai University Hospital, Osaka-Sayama, Osaka, Japan.

Tatsufumi Mori (T)

Life Science Institute, Kindai University, Osaka-Sayama, Osaka, Japan.

Shinji Inoue (S)

Department of Orthopedic Surgery, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.

Kotaro Yamagishi (K)

Department of Orthopedic Surgery, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.

Akihiro Moritake (A)

Department of Orthopedic Surgery, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.

Natsumi Iwawaki (N)

Institute of Advanced Clinical Medicine, Kindai University Hospital, Osaka-Sayama, Osaka, Japan.

Kanae Shigi (K)

Department of Rehabilitation Medicine, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan; Institute of Advanced Clinical Medicine, Kindai University Hospital, Osaka-Sayama, Osaka, Japan.

Toshiyuki Takehara (T)

Institute of Advanced Clinical Medicine, Kindai University Hospital, Osaka-Sayama, Osaka, Japan.

Yuji Higashimoto (Y)

Department of Rehabilitation Medicine, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.

Masao Akagi (M)

Department of Orthopedic Surgery, Kindai University Faculty of Medicine, Osaka-Sayama, Osaka, Japan.

Takeshi Teramura (T)

Institute of Advanced Clinical Medicine, Kindai University Hospital, Osaka-Sayama, Osaka, Japan. Electronic address: teramura@med.kindai.ac.jp.

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Classifications MeSH