Literature DB >> 28443377

Association of MicroRNA-146a and MicroRNA-149 Polymorphisms With Strokes in Asian Populations: An Updated Meta-Analysis.

Jiaxiu Du1, Chuanju Cui2, Shuling Zhang1, Xiaopeng Yang3, Jiyu Lou3.   

Abstract

Strokes are a major cause of disability and death worldwide. An association between microRNA-146a (miR-146a) and miR-149 polymorphisms and strokes was inconclusive. This meta-analysis aimed to reevaluate the strength of the association by searching online databases and retrieving relevant case-control studies published between 2000 and 2016. Nine articles including 8 on miR-146a rs2910164 G/C and 3 on miR-149 rs2292832 C/T in 3372 patients with stroke and 4394 controls were included. The miR-149 rs2292832 was significantly associated with the risk of a stroke under allelic (C vs T: odds ratio [OR] = 1.14; 95% confidence interval [CI] = 1.01-1.29; P = .03), homologous (CC vs TT: OR = 1.36; 95% CI = 1.05-1.77; P = .02), and recessive models (CC vs CT + TT: OR = 1.34; 95% CI = 1.05-1.71; P = .02). No correlation was detected between miR-146a rs2910164 and susceptibility to a stroke. In conclusion, the results suggested that miR-149 might be a risk factor for the development of a stroke, while miR-146a might not be. Well-designed studies with large populations are needed to clarify the association between miR-146a and miR-149 polymorphisms and strokes.

Entities:  

Keywords:  meta-analysis; microRNA-146a; microRNA-149; polymorphism; stroke

Mesh:

Substances:

Year:  2017        PMID: 28443377     DOI: 10.1177/0003319717704323

Source DB:  PubMed          Journal:  Angiology        ISSN: 0003-3197            Impact factor:   3.619


  2 in total

Review 1.  MicroRNA: An Emerging Predictive, Diagnostic, Prognostic and Therapeutic Strategy in Ischaemic Stroke.

Authors:  Rais Reskiawan A Kadir; Mansour Alwjwaj; Ulvi Bayraktutan
Journal:  Cell Mol Neurobiol       Date:  2020-12-24       Impact factor: 4.231

2.  Association between polymorphisms in microRNAs and ischemic stroke in an Asian population: evidence based on 6,083 cases and 7,248 controls.

Authors:  Donghua Zou; Chunbin Liu; Qian Zhang; Xianfeng Li; Gang Qin; Qi Huang; Youshi Meng; Li Chen; Jinru Wei
Journal:  Clin Interv Aging       Date:  2018-09-12       Impact factor: 4.458

  2 in total

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