miRNAs as potential diagnostic biomarkers and pharmacogenomic indicators in psychiatric disorders

IF 2.9 3区 医学 Q2 GENETICS & HEREDITY Pharmacogenomics Journal Pub Date : 2022-06-20 DOI:10.1038/s41397-022-00283-7
Evangelia Eirini Tsermpini, Christina I. Kalogirou, George C. Kyriakopoulos, George P. Patrinos, Constantinos Stathopoulos
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引用次数: 8

Abstract

The heterogeneity of psychiatric disorders and the lack of reliable biomarkers for prediction and treatments follow-up pose difficulties towards recognition and understanding of the molecular basis of psychiatric diseases. However, several studies based on NGS approaches have shown that miRNAs could regulate gene expression during onset and disease progression and could serve as potential diagnostic and pharmacogenomics biomarkers during treatment. We provide herein a detailed overview of circulating miRNAs and their expression profiles as biomarkers in schizophrenia, bipolar disorder and major depressive disorder and their role in response to specific treatments. Bioinformatics analysis of miR-34a, miR-106, miR-134 and miR-132, which are common among SZ, BD and MDD patients, showed brain enrichment and involvement in the modulation of critical signaling pathways, which are often deregulated in psychiatric disorders. We propose that specific miRNAs support accurate diagnosis and effective precision treatment of psychiatric disorders.

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miRNA 作为精神疾病的潜在诊断生物标志物和药物基因组学指标
精神疾病的异质性以及缺乏可靠的生物标志物进行预测和治疗跟踪,给认识和了解精神疾病的分子基础带来了困难。然而,一些基于 NGS 方法的研究表明,miRNAs 可在发病和疾病进展过程中调控基因表达,并可在治疗过程中作为潜在的诊断和药物基因组学生物标志物。我们在此详细概述了作为精神分裂症、双相情感障碍和重度抑郁障碍生物标志物的循环 miRNA 及其表达谱,以及它们在特定治疗中的作用。生物信息学分析表明,miR-34a、miR-106、miR-134 和 miR-132 在精神分裂症、双相情感障碍和重度抑郁障碍患者中很常见,它们富集于大脑,并参与调节关键信号通路,而这些通路在精神疾病中通常是失调的。我们认为,特异性 miRNA 可支持精神疾病的准确诊断和有效的精准治疗。
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来源期刊
Pharmacogenomics Journal
Pharmacogenomics Journal 医学-药学
CiteScore
7.20
自引率
0.00%
发文量
35
审稿时长
6-12 weeks
期刊介绍: The Pharmacogenomics Journal is a print and electronic journal, which is dedicated to the rapid publication of original research on pharmacogenomics and its clinical applications. Key areas of coverage include: Personalized medicine Effects of genetic variability on drug toxicity and efficacy Identification and functional characterization of polymorphisms relevant to drug action Pharmacodynamic and pharmacokinetic variations and drug efficacy Integration of new developments in the genome project and proteomics into clinical medicine, pharmacology, and therapeutics Clinical applications of genomic science Identification of novel genomic targets for drug development Potential benefits of pharmacogenomics.
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