The expression profile and role of non-coding RNAs in obesity.


Journal

European journal of pharmacology
ISSN: 1879-0712
Titre abrégé: Eur J Pharmacol
Pays: Netherlands
ID NLM: 1254354

Informations de publication

Date de publication:
05 Feb 2021
Historique:
received: 23 10 2020
revised: 07 12 2020
accepted: 11 12 2020
pubmed: 22 12 2020
medline: 19 5 2021
entrez: 21 12 2020
Statut: ppublish

Résumé

Latest years have experienced a dramatic upsurge in the knowledge about the function of non-coding transcripts in the determination of diverse human phenotypes including obesity. Several miRNAs and lncRNAs participate in the regulation of metabolic pathways leading to obesity. Several lncRNAs such as Mist, lincIRS2, lncRNA-p5549, H19, GAS5 and SNHG9 have been shown to be down-regulated in adipose tissues or other biological samples in the obese human or animal subjects. On the other hand, Meg3, Plnc1, Blnc1, AC092834.1, TINCR and PVT1 are among up-regulated lncRNAs in the obese subjects. Tens of miRNAs have differential expression between obese and non-obese subjects or between mature adipocytes and pre-adipocytes. Understanding the molecular mechanism of involvement of non-coding RNAs in the pathobiology of obesity would simplify design of therapeutic choices for protecting against obesity and its related comorbidities. We explain the available literature on the function of these transcripts in the pathobiology of obesity.

Identifiants

pubmed: 33345852
pii: S0014-2999(20)30914-6
doi: 10.1016/j.ejphar.2020.173809
pii:
doi:

Substances chimiques

MicroRNAs 0
RNA, Circular 0
RNA, Long Noncoding 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

173809

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Soudeh Ghafouri-Fard (S)

Urogenital Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Mohammad Taheri (M)

Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: mohammad_823@yahoo.com.

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Classifications MeSH