最佳体外人类胚胎应该是怎样的?胚胎选择当前和未来面临的挑战。

IF 1.6 Q3 OBSTETRICS & GYNECOLOGY Minerva obstetrics and gynecology Pub Date : 2024-04-01 Epub Date: 2023-06-16 DOI:10.23736/S2724-606X.23.05296-X
Danilo Cimadomo, Federica Innocenti, Marilena Taggi, Gaia Saturno, Maria R Campitiello, Maurizio Guido, Alberto Vaiarelli, Filippo M Ubaldi, Laura Rienzi
{"title":"最佳体外人类胚胎应该是怎样的?胚胎选择当前和未来面临的挑战。","authors":"Danilo Cimadomo, Federica Innocenti, Marilena Taggi, Gaia Saturno, Maria R Campitiello, Maurizio Guido, Alberto Vaiarelli, Filippo M Ubaldi, Laura Rienzi","doi":"10.23736/S2724-606X.23.05296-X","DOIUrl":null,"url":null,"abstract":"<p><p>In-vitro fertilization (IVF) aims at overcoming the causes of infertility and lead to a healthy live birth. To maximize IVF efficiency, it is critical to identify and transfer the most competent embryo within a cohort produced by a couple during a cycle. Conventional static embryo morphological assessment involves sequential observations under a light microscope at specific timepoints. The introduction of time-lapse technology enhanced morphological evaluation via the continuous monitoring of embryo preimplantation in vitro development, thereby unveiling features otherwise undetectable via multiple static assessments. Although an association exists, blastocyst morphology poorly predicts chromosomal competence. In fact, the only reliable approach currently available to diagnose the embryonic karyotype is trophectoderm biopsy and comprehensive chromosome testing to assess non-mosaic aneuploidies, namely preimplantation genetic testing for aneuploidies (PGT-A). Lately, the focus is shifting towards the fine-tuning of non-invasive technologies, such as \"omic\" analyses of waste products of IVF (e.g., spent culture media) and/or artificial intelligence-powered morphologic/morphodynamic evaluations. This review summarizes the main tools currently available to assess (or predict) embryo developmental, chromosomal, and reproductive competence, their strengths, the limitations, and the most probable future challenges.</p>","PeriodicalId":18572,"journal":{"name":"Minerva obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How should the best human embryo in vitro be? Current and future challenges for embryo selection.\",\"authors\":\"Danilo Cimadomo, Federica Innocenti, Marilena Taggi, Gaia Saturno, Maria R Campitiello, Maurizio Guido, Alberto Vaiarelli, Filippo M Ubaldi, Laura Rienzi\",\"doi\":\"10.23736/S2724-606X.23.05296-X\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In-vitro fertilization (IVF) aims at overcoming the causes of infertility and lead to a healthy live birth. To maximize IVF efficiency, it is critical to identify and transfer the most competent embryo within a cohort produced by a couple during a cycle. Conventional static embryo morphological assessment involves sequential observations under a light microscope at specific timepoints. The introduction of time-lapse technology enhanced morphological evaluation via the continuous monitoring of embryo preimplantation in vitro development, thereby unveiling features otherwise undetectable via multiple static assessments. Although an association exists, blastocyst morphology poorly predicts chromosomal competence. In fact, the only reliable approach currently available to diagnose the embryonic karyotype is trophectoderm biopsy and comprehensive chromosome testing to assess non-mosaic aneuploidies, namely preimplantation genetic testing for aneuploidies (PGT-A). Lately, the focus is shifting towards the fine-tuning of non-invasive technologies, such as \\\"omic\\\" analyses of waste products of IVF (e.g., spent culture media) and/or artificial intelligence-powered morphologic/morphodynamic evaluations. This review summarizes the main tools currently available to assess (or predict) embryo developmental, chromosomal, and reproductive competence, their strengths, the limitations, and the most probable future challenges.</p>\",\"PeriodicalId\":18572,\"journal\":{\"name\":\"Minerva obstetrics and gynecology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Minerva obstetrics and gynecology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23736/S2724-606X.23.05296-X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/6/16 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Minerva obstetrics and gynecology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23736/S2724-606X.23.05296-X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/16 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

体外受精(IVF)的目的是克服不孕不育的原因,实现健康的活产。为了最大限度地提高体外受精的效率,关键是要在一对夫妇在一个周期内产生的胚胎群中识别并移植最有能力的胚胎。传统的静态胚胎形态评估包括在特定时间点在光学显微镜下进行连续观察。延时技术的引入通过对胚胎植入前体外发育的连续监测加强了形态学评估,从而揭示了通过多次静态评估无法发现的特征。虽然存在关联,但囊胚形态对染色体能力的预测很差。事实上,目前诊断胚胎核型的唯一可靠方法是进行滋养层活检和全面染色体检测,以评估非嵌合非整倍体,即胚胎植入前非整倍体基因检测(PGT-A)。最近,重点正转向非侵入性技术的微调,如试管婴儿废品(如废培养基)的 "omic "分析和/或人工智能驱动的形态学/形态动力学评估。本综述总结了目前可用于评估(或预测)胚胎发育、染色体和生殖能力的主要工具、其优势、局限性以及未来最可能面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
How should the best human embryo in vitro be? Current and future challenges for embryo selection.

In-vitro fertilization (IVF) aims at overcoming the causes of infertility and lead to a healthy live birth. To maximize IVF efficiency, it is critical to identify and transfer the most competent embryo within a cohort produced by a couple during a cycle. Conventional static embryo morphological assessment involves sequential observations under a light microscope at specific timepoints. The introduction of time-lapse technology enhanced morphological evaluation via the continuous monitoring of embryo preimplantation in vitro development, thereby unveiling features otherwise undetectable via multiple static assessments. Although an association exists, blastocyst morphology poorly predicts chromosomal competence. In fact, the only reliable approach currently available to diagnose the embryonic karyotype is trophectoderm biopsy and comprehensive chromosome testing to assess non-mosaic aneuploidies, namely preimplantation genetic testing for aneuploidies (PGT-A). Lately, the focus is shifting towards the fine-tuning of non-invasive technologies, such as "omic" analyses of waste products of IVF (e.g., spent culture media) and/or artificial intelligence-powered morphologic/morphodynamic evaluations. This review summarizes the main tools currently available to assess (or predict) embryo developmental, chromosomal, and reproductive competence, their strengths, the limitations, and the most probable future challenges.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Minerva obstetrics and gynecology
Minerva obstetrics and gynecology OBSTETRICS & GYNECOLOGY-
CiteScore
2.90
自引率
11.10%
发文量
191
期刊最新文献
The predictive role of uterocervical angle in labor outcomes: a narrative review. Intraovarian injection of autologous platelet-rich-plasma: myth or reality? Age and phytoestrogen use, but not resilience, influence urinary incontinence in postmenopausal women. Assessment of ovarian cortex follicles in chemotherapy naïve and chemotherapy exposed patients. Intrauterine device use in adolescence: a narrative review.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1