Polymorphisms in MicroRNA Genes Associated with Schizophrenia Susceptibility but Not with Effectiveness of MECT

Author:

Zhang Danwei1,Li Huihua2,Ding Kaimo2,Zhang Zhen1,Luo Si1,Li Guohai1ORCID

Affiliation:

1. Department of Psychiatry, Zhenjiang Mental Health Center, Zhenjiang, Jiangsu Province, China

2. Department of Psychology, Zhenjiang Mental Health Center, Zhenjiang, Jiangsu Province, China

Abstract

Schizophrenia (SCZ) is a common and complex psychiatric disease associated with hereditary and environmental risk factors. MicroRNAs (miRNAs or miRs) are small, noncoding RNA molecules that endogenously regulate gene expression. Single nucleotide polymorphisms (SNPs) in related miRNA genes are associated with susceptibility of the disorder. We wonder if the SNPs have influence on the effectiveness of modified electroconvulsive therapy (MECT) for SCZ. rs1625579 within miR-137, rs6577555 within miR-34, and rs2296616 within miR-107 were sequenced in 150 cases and 150 controls to check the potential association between the SNPs and SCZ. Our results showed that allele G in rs1625579 ( p = 0.005 , adjusted OR = 1.379 , 95 % CI = 1.108 1.634 ), allele A in rs6577555 ( p = 0.014 , adjusted OR = 1.246 , 95 % CI = 1.045 1.463 ), allele G in rs2296616 ( p < 0.001 , adjusted OR = 1.646 , 95 % CI = 1.374 1.879 ) are positively associated with the disorder risk. MECT courses did significantly decrease the level of the miRNAs, except for the variant of rs2296616 with the AA genotype. Schizophrenic phenotypes assessed by the positive and negative syndrome scale (PANSS) were improved after MECT, and there was no significant relevance observed between the effectiveness of MECT and the variants of these loci. Thus, our findings indicate that polymorphisms within the loci may be involved in the pathogenesis of SCZ, and MECT is effective and unbiased for patients harboring different genotypes of the loci.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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