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伊朗人群男性不育的遗传学与分子生物学:最新进展

Genetics and molecular biology of male infertility among Iranian population: an update.

作者信息

Mojarrad Majid, Saburi Ehsan, Golshan Alireza, Moghbeli Meysam

机构信息

Department of Medical Genetics and Molecular Medicine, School of Medicine, Mashhad University of Medical Sciences Mashhad, Iran.

Department of Urology, School of Medicine, Mashhad University of Medical Sciences Mashhad, Iran.

出版信息

Am J Transl Res. 2021 Jun 15;13(6):5767-5785. eCollection 2021.

Abstract

Infertility is one of the main social and health problems among young couples. Although a noticeable ratio of infertilities are asymptomatic, about half of the cases are observed among males. Various environmental factors such as life style, dietary patterns, and pathogens are associated with male infertility. Mutations and chromosomal abnormalities are also the most important genetic risk factors of male infertility. Similar to other populations, there is a dramatically rising trend of male infertility among Iranian. Regarding the high ratio of asymptomatic cases, it is required to clarify the molecular biology and cellular processes involved in male infertility in this population to suggest an efficient panel of diagnostic markers. In this review, we have summarized all of the cellular and molecular processes which have been reported among Iranian infertile males to clarify the molecular biology of male infertility in this population. It was observed that the stress response, cellular detoxification, and DNA repair processes were the most common aberrant cellular mechanisms among Iranian infertile males. This review paves the way of introducing a population-based diagnostic panel of genetic markers among Iranian infertile males.

摘要

不孕不育是年轻夫妇面临的主要社会和健康问题之一。尽管相当比例的不孕不育症没有症状,但约一半的病例出现在男性身上。各种环境因素,如生活方式、饮食模式和病原体,都与男性不育有关。突变和染色体异常也是男性不育最重要的遗传风险因素。与其他人群类似,伊朗男性不育的趋势也在急剧上升。鉴于无症状病例的比例很高,有必要阐明该人群中男性不育所涉及的分子生物学和细胞过程,以提出一套有效的诊断标志物。在这篇综述中,我们总结了伊朗不育男性中已报道的所有细胞和分子过程,以阐明该人群中男性不育的分子生物学。据观察,应激反应、细胞解毒和DNA修复过程是伊朗不育男性中最常见的异常细胞机制。这篇综述为在伊朗不育男性中引入基于人群的遗传标志物诊断面板铺平了道路。

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