Literature DB >> 34515927

Functional Variants of miR-143 Are Associated with Schizophrenia Susceptibility: A Preliminary Population-Based Study and Bioinformatics Analysis.

Saman Sargazi1, Fariba Mirani Sargazi1, Milad Heidari Nia1, Roghayeh Sheervalilou2, Ramin Saravani3,4, Shekoufeh Mirinejad1, Mansoor Shakiba5.   

Abstract

Single nucleotide polymorphisms within genes encoding microRNAs may alter the expression of microRNAs and their target genes, contributing to the etiology of psychiatric disorders. We aimed to investigate the link between rs4705342T/C and rs4705343T/C polymorphisms in the promoter region of miR-143 and the risk of schizophrenia (SCZ) in a sample of an Iranian population. In this experimental study, a total of 398 subjects were recruited. Genotyping carried out using allele-specific PCR (AS-PCR) method. Different bioinformatics databases and Cytoscape V3.4.0 software were used for the analysis of the gene-miRNA interaction network. The genotypic analysis of rs4705342C/T showed that CC genotype in the co-dominant model significantly decreased the risk of SCZ (p < 0.001). Also, a significantly reduced risk of SCZ was observed under allelic (p < 0.001), dominant (p = 0.007), and recessive (p = 0.001) models of this variant. As regards rs4705343T/C, significantly enhanced risk of SCZ was found under the co-dominant CC (p = 0.01) and recessive (p = 0.007) contrasted genetic models. For this variant, the C allele conferred an increased risk of SCZ by 1.41 fold. Haplotype analysis showed that the Crs4705342 Trs4705343 haplotype significantly diminished SCZ susceptibility. The result of the bioinformatics analysis showed that miR-143, as a critical miRNA, targets ERK5, ERBB3, HK2, and PKCε, the four major genes involved in SCZ development. Our findings suggest that these two polymorphisms might affect SCZ susceptibility. Elucidating the precise regulatory mechanisms of gene expression in the development of SCZ will help researchers discover a novel target for therapeutic interventions.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  In silico; Polymorphism; Schizophrenia; miR-143

Mesh:

Substances:

Year:  2021        PMID: 34515927     DOI: 10.1007/s10528-021-10133-z

Source DB:  PubMed          Journal:  Biochem Genet        ISSN: 0006-2928            Impact factor:   1.890


  44 in total

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Journal:  Nat Genet       Date:  2008-07       Impact factor: 38.330

Review 4.  Protein kinase C isoforms as therapeutic targets in nervous system disease states.

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Journal:  Pharmacol Res       Date:  2001-11       Impact factor: 7.658

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Journal:  J Cell Physiol       Date:  2019-04-26       Impact factor: 6.384

Review 7.  Association of religion with delusions and hallucinations in the context of schizophrenia: implications for engagement and adherence.

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Journal:  J Biol Chem       Date:  2004-10-25       Impact factor: 5.157

9.  A functional variant in miR-143 promoter contributes to prostate cancer risk.

Authors:  Haiyan Chu; Dongyan Zhong; Jialin Tang; Jie Li; Yao Xue; Na Tong; Chao Qin; Changjun Yin; Zhengdong Zhang; Meilin Wang
Journal:  Arch Toxicol       Date:  2014-10-30       Impact factor: 5.153

10.  ERK5 MAP kinase regulates neurogenin1 during cortical neurogenesis.

Authors:  Paige Cundiff; Lidong Liu; Yupeng Wang; Junhui Zou; Yung-Wei Pan; Glen Abel; Xin Duan; Guo-Li Ming; Chris Englund; Robert Hevner; Zhengui Xia
Journal:  PLoS One       Date:  2009-04-13       Impact factor: 3.240

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  1 in total

1.  Genetic Polymorphisms in miR-137 and Its Target Genes, TCF4 and CACNA1C, Contribute to the Risk of Bipolar Disorder: A Preliminary Case-Control Study and Bioinformatics Analysis.

Authors:  Mohammad Ali Mokhtari; Saman Sargazi; Ramin Saravani; Milad Heidari Nia; Shekoufeh Mirinejad; Kinga Hadzsiev; Judit Bene; Mansoor Shakiba
Journal:  Dis Markers       Date:  2022-09-22       Impact factor: 3.464

  1 in total

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