微生物群与人类生殖：男性不育案例。

Q2 Biochemistry, Genetics and Molecular Biology High-Throughput Pub Date : 2020-04-13 DOI:10.3390/ht9020010

Rossella Tomaiuolo, Iolanda Veneruso, Federica Cariati, Valeria D'Argenio

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摘要

人们对元基因组学的兴趣与日俱增，这增进了我们对微生物群在人体生理和病理中的组成和作用的了解。事实上，微生物已被报道在包括不孕症在内的多种疾病中发挥作用。尤其是男性精液微生物群被认为是影响夫妇健康、妊娠结果以及后代健康的重要因素。然而，迄今为止，很少有研究对精液微生物群的起源、功能及其与伴侣生殖道微生物群的相关性进行深入研究。在此，我们将报告有关男性生殖系统微生物组及其在不育症中的改变的最新进展。

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Microbiota and Human Reproduction: The Case of Male Infertility.

The increasing interest in metagenomics is enhancing our knowledge regarding the composition and role of the microbiota in human physiology and pathology. Indeed, microbes have been reported to play a role in several diseases, including infertility. In particular, the male seminal microbiota has been suggested as an important factor able to influence couple's health and pregnancy outcomes, as well as offspring health. Nevertheless, few studies have been carried out to date to deeper investigate semen microbiome origins and functions, and its correlations with the partner's reproductive tract microbiome. Here, we report the state of the art regarding the male reproductive system microbiome and its alterations in infertility.

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来源期刊

High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology

CiteScore

3.60

自引率

0.00%

发文量

审稿时长

9 weeks

期刊介绍： High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays