在预测、预防和个性化医学框架内,采用植入前蛋白质组学方法推进辅助生殖技术。

IF 6.5 2区 医学 Q1 Medicine
Epma Journal Pub Date : 2022-05-21 eCollection Date: 2022-06-01 DOI:10.1007/s13167-022-00282-5
Vasiliki Kanaka, Stavros Proikakis, Petros Drakakis, Dimitrios Loutradis, George Th Tsangaris
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引用次数: 0

摘要

辅助生殖技术(ART)领域在过去 40 年的发展极大地促进了全球不孕症的治疗。尽管通过 ART 取得了大量活产,但仍有提高成功率的潜力。因此,有必要创造最佳条件,以提高 ART 的疗效。通过基于个性化蛋白质组学方法的新诊断和治疗方法,选择最佳精子、卵细胞和胚胎,以及实现最佳子宫内膜受孕率,可能有助于实现这一目标。蛋白质组学是一项强大的新技术发展,它在人体组织中寻找蛋白质生物标志物。这些生物标志物有助于预测结果、预防失败并以个性化的方式监测体外受精(IVF)周期。在这篇综述中,我们将介绍为寻找此类生物标志物而进行的研究数据,以确定与良好的精子、卵细胞和胚胎质量以及最佳子宫内膜受孕率有关的蛋白质,从而取得更好的结果和理想的人工受精结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementing a preimplantation proteomic approach to advance assisted reproduction technologies in the framework of predictive, preventive, and personalized medicine.

The evolution of the field of assisted reproduction technology (ART) in the last 40 years has significantly contributed to the management of global infertility. Despite the great numbers of live births that have been achieved through ART, there is still potential for increasing the success rates. As a result, there is a need to create optimum conditions in order to increase ART efficacy. The selection of the best sperm, oocyte, and embryo, as well as the achievement of optimal endometrial receptivity, through the contribution of new diagnostic and treatment methods, based on a personalized proteomic approach, may assist in the attainment of this goal. Proteomics represent a powerful new technological development, which seeks for protein biomarkers in human tissues. These biomarkers may aid to predict the outcome, prevent failure, and monitor in a personalized manner in vitro fertilization (IVF) cycles. In this review, we will present data from studies that have been conducted in the search for such biomarkers in order to identify proteins related to good sperm, oocyte, and embryo quality, as well as optimal endometrial receptivity, which may later lead to greater results and the desirable ART outcome.

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来源期刊
Epma Journal
Epma Journal Medicine-Biochemistry (medical)
CiteScore
11.30
自引率
23.10%
发文量
0
期刊介绍: PMA Journal is a journal of predictive, preventive and personalized medicine (PPPM). The journal provides expert viewpoints and research on medical innovations and advanced healthcare using predictive diagnostics, targeted preventive measures and personalized patient treatments. The journal is indexed by PubMed, Embase and Scopus.
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