A functional spectrum of PROKR2 mutations identified in isolated hypogonadotropic hypogonadism

GNRHR公司 卡尔曼综合征 生物 突变 促性腺激素减退症 遗传学 内分泌学 内科学 信号转导 促性腺激素释放激素 基因 促黄体激素 激素 疾病 医学 2019年冠状病毒病(COVID-19) 传染病(医学专业)
作者
Xinying Wang,Dan‐Na Chen,Yongli Zhao,Meichao Men,Zhiheng Chen,Fang Jiang,Ruizhi Zheng,Maria Stamou,Lacey Plummer,Ravikumar Balasubramanian,Jia‐Da Li
出处
期刊:Human Molecular Genetics [Oxford University Press]
卷期号:32 (10): 1722-1729 被引量:1
标识
DOI:10.1093/hmg/ddad014
摘要

Isolated hypogonadotropic hypogonadism (IHH) is a rare disease with hypogonadism and infertility caused by the defects in embryonic migration of hypothalamic gonadotropin-releasing hormone (GnRH) neurons, hypothalamic GnRH secretion or GnRH signal transduction. PROKR2 gene, encoding a G-protein coupled receptor PROKR2, is one of the most frequently mutated genes identified in IHH patients. However, the functional consequences of several PROKR2 mutants remain elusive. In this study, we systematically analyzed the Gαq, Gαs and ERK1/2 signaling of 23 IHH-associated PROKR2 mutations which are yet to be functionally characterized. We demonstrate that blockage of Gαq, instead of MAPK/ERK pathway, inhibited PROK2-induced migration of PROKR2-expressing cells, implying that PROKR2-related IHH results primarily due to Gαq signaling pathway disruption. Combined with previous reports, we categorized a total of 63 IHH-associated PROKR2 mutations into four distinct groups according Gαq pathway functionality: (i) neutral (N, >80% activity); (ii) low pathogenicity (L, 50-80% activity); (iii) medium pathogenicity (M, 20-50% activity) and (iv) high pathogenicity (H, <20% activity). We further compared the cell-based functional results with in silico mutational prediction programs. Our results indicated that while Sorting Intolerant from Tolerant predictions were accurate for transmembrane region mutations, mutations localized in the intracellular and extracellular domains were accurately predicted by the Combined Annotation Dependent Depletion prediction tool. Our results thus provide a functional database that can be used to guide diagnosis and appropriate genetic counseling in IHH patients with PROKR2 mutations.
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