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Biomarkers for demographic research: sperm counts and other male infertility biomarkers

机译:用于人口统计学研究的生物标志物:精子计数和其他男性不育生物标志物

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摘要

Some male infertility biomarkers are etiologically linked to idiopathic infertility in men, the direct cause of which often cannot be determined with conventional sperm count parameters. Open questions remain regarding the universal and generic infertility definitions that cover and combine the clinical, epidemiological, and demographic perspectives. The main effort in the application of these infertility biomarkers are accounted by more or less stria discrimination criteria. For male infertility, beyond classical sperm count assessments, the DNA fragmentation index (DFI) is an adequate biomarker. DFI strongly correlates with pregnancy rates and even strict discrimination criteria for infertility outcomes. Other common biomarkers are reactive oxygen species (ROS) and antisperm antibodies (ASAs), which can explain some biomedical infertility disorders within major constraints. More frequently applied in demographic research, telomere length component analysis is based on identifying the genetic impact of cellular longevity. Sperm telomere length is becoming established as a potential biomarker in infertility research. The aim of this review is to provide an overview of the current status and limitations to the application of novel biomarkers, including TEX101, for infertility research. The review also discusses potential options for the use of biomarkers in population-based studies.
机译:某些男性不育生物标记物在病因上与男性特发性不育有关,其直接原因通常无法通过常规精子计数参数确定。关于涵盖和结合临床,流行病学和人口统计学观点的通用和通用不孕不育定义仍存在悬而未决的问题。应用这些不育生物标记物的主要努力是由或多或少的条纹鉴别标准解释的。对于男性不育症,除了经典的精子计数评估之外,DNA断裂指数(DFI)是足够的生物标志物。 DFI与妊娠率乃至严格的不孕结果鉴别标准密切相关。其他常见的生物标志物是活性氧(ROS)和抗精子抗体(ASAs),这可以解释主要限制条件下的一些生物医学不育症。端粒长度成分分析是在识别细胞长寿的遗传影响的基础上,更常用于人口统计学研究。精子端粒的长度已成为不育研究中潜在的生物标志物。这篇综述的目的是概述不育研究中包括TEX101在内的新型生物标志物的应用现状和局限性。该综述还讨论了在基于人群的研究中使用生物标志物的潜在选择。

著录项

  • 来源
    《Social Biology》 |2020年第1期|73-87|共15页
  • 作者

    Ronny Westerman;

  • 作者单位

    Competence Center Mortality-Follow-Up German National Cohort Federal Institute for Population Research Wiesbaden Germany;

  • 收录信息 美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 05:13:24

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