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大麻素 CB 受体中的单核苷酸多态性:分子药理学和疾病相关性。

Single nucleotide polymorphisms in the cannabinoid CB receptor: Molecular pharmacology and disease associations.

机构信息

Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, North Ryde, New South Wales, Australia.

Department of Pharmacology and Clinical Pharmacology, School of Medical Sciences, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.

出版信息

Br J Pharmacol. 2024 Aug;181(15):2391-2412. doi: 10.1111/bph.16383. Epub 2024 May 27.

Abstract

Preclinical evidence implicating cannabinoid receptor 2 (CB) in various diseases has led researchers to question whether CB genetics influence aetiology or progression. Associations between conditions and genetic loci are often studied via single nucleotide polymorphism (SNP) prevalence in case versus control populations. In the CNR2 coding exon, ~36 SNPs have high overall population prevalence (minor allele frequencies [MAF] ~37%), including non-synonymous SNP (ns-SNP) rs2501432 encoding CB 63Q/R. Interspersed are ~27 lower frequency SNPs, four being ns-SNPs. CNR2 introns also harbour numerous SNPs. This review summarises CB ns-SNP molecular pharmacology and evaluates evidence from ~70 studies investigating CB genetic variants with proposed linkage to disease. Although CNR2 genetic variation has been associated with a wide variety of conditions, including osteoporosis, immune-related disorders, and mental illnesses, further work is required to robustly validate CNR2 disease links and clarify specific mechanisms linking CNR2 genetic variation to disease pathophysiology and potential drug responses.

摘要

临床前证据表明大麻素受体 2(CB)在各种疾病中起作用,这促使研究人员质疑 CB 遗传是否会影响疾病的病因或进展。通常通过病例对照人群中单核苷酸多态性(SNP)的流行来研究疾病与遗传基因座之间的关联。在 CNR2 编码外显子中,约有 36 个 SNP 具有较高的总体人群流行率(次要等位基因频率[MAF]约为 37%),包括编码 CB 63Q/R 的非同义 SNP(ns-SNP)rs2501432。其中穿插着约 27 个较低频率的 SNP,其中有 4 个是 ns-SNPs。CNR2 内含子也含有许多 SNP。这篇综述总结了 CB ns-SNP 的分子药理学,并评估了约 70 项研究的证据,这些研究调查了与疾病有潜在关联的 CB 遗传变异。尽管 CNR2 遗传变异与多种疾病有关,包括骨质疏松症、免疫相关疾病和精神疾病,但仍需要进一步的工作来充分验证 CNR2 疾病相关性,并阐明将 CNR2 遗传变异与疾病病理生理学和潜在药物反应联系起来的具体机制。

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