Nanopore sequencing-based genotyping suggested an association between CYP2D6 function and susceptibility to anxiety and depression.

IF 1.7 Q2 MULTIDISCIPLINARY SCIENCES BMC Research Notes Pub Date : 2025-02-27 DOI:10.1186/s13104-025-07156-9
Eng Wee Chua, Harsheni Karunanathie, Kevina Yanasegaran, Simran Maggo, Ping Siu Kee, Martin Kennedy, Mohd Rizal Abdul Manaf, Pei Yuen Ng
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Abstract

Objective: CYP2D6 activity has been inconsistently associated with anxious and depressive personality traits. The inconsistency may stem from limitations of targeted genotyping, employed in most previous studies, leading to undetected errors in metabolic classification. Using a nanopore sequencing-based method, we comprehensively genotyped CYP2D6 alleles in a small cohort of 96 Malaysians and re-examined the relationship between CYP2D6 activity and susceptibility to anxiety and depression.

Results: In keeping with prior studies, CYP2D6*10 was found to be the most common defective allele. Nearly half of the (48.5%) participants were classified as intermediate and poor metabolizers. Linear regression analysis suggested that impaired CYP2D6 activity could be a predictor of anxiety and depression, consistent with the putative role of CYP2D6 in the synthesis of serotonin and dopamine, the mood-boosting neurotransmitters. We hope this brief report will prompt larger-scale studies to further elucidate the contribution of CYP2D6 to the genetic underpinnings of mental well-being.

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基于纳米孔测序的基因分型表明,CYP2D6 功能与焦虑症和抑郁症的易感性之间存在关联。
目的:CYP2D6活性与焦虑和抑郁人格特征的相关性并不一致。这种不一致可能源于大多数先前研究中采用的靶向基因分型的局限性,导致代谢分类中未被发现的错误。使用基于纳米孔测序的方法,我们对96名马来西亚人的小队列CYP2D6等位基因进行了全面的基因分型,并重新检查了CYP2D6活性与焦虑和抑郁易感性之间的关系。结果:与前期研究一致,CYP2D6*10是最常见的缺陷等位基因。近一半(48.5%)的参与者被归类为中等和低代谢者。线性回归分析表明,CYP2D6活性受损可能是焦虑和抑郁的一个预测因素,这与CYP2D6在合成血清素和多巴胺(促进情绪的神经递质)中的假设作用一致。我们希望这篇简短的报告将促进更大规模的研究,以进一步阐明CYP2D6对心理健康的遗传基础的贡献。
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来源期刊
BMC Research Notes
BMC Research Notes Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍: BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.
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