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Follicular Metabolites-Assisted Clinical Evaluation of IVF/ICSI Outcomes
As infertility became a significant public health problem, assisted reproductive technologies (ARTs) were introduced. However, the fertilization rate of in vitro fertilization (IVF) per cycle varied, and patients needed to repeat IVF or change to intracytoplasmic sperm injection (ICSI). Here, 75 cou...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189786/ https://www.ncbi.nlm.nih.gov/pubmed/34122613 http://dx.doi.org/10.1155/2021/9999659 |
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author | Qu, Bing Xiong, Yunhe Yu, Xiaofan Ding, Jinli Weng, Jing Yang, Xinghua Ma, Yanmin Liu, Lingyan Yang, Jing |
author_facet | Qu, Bing Xiong, Yunhe Yu, Xiaofan Ding, Jinli Weng, Jing Yang, Xinghua Ma, Yanmin Liu, Lingyan Yang, Jing |
author_sort | Qu, Bing |
collection | PubMed |
description | As infertility became a significant public health problem, assisted reproductive technologies (ARTs) were introduced. However, the fertilization rate of in vitro fertilization (IVF) per cycle varied, and patients needed to repeat IVF or change to intracytoplasmic sperm injection (ICSI). Here, 75 couples suffering from female fallopian tubal blockage (tubal group) and 42 spouses beset by male abnormal sperm status (dysspermia group) were recruited. We comprehensively explored the relationship among couples' clinical factors, follicular metabolites, and IVF/ICSI stepwise outcomes. IVF/ICSI outcomes were affected by follicular metabolites and physical status in both women and men, regardless of which side infertility came from. Particularly, in the tubal group, the energy supporting pathways—glycolysis and pyruvate metabolism—were most essential in follicles, and IVF/ICSI outcomes were also related to sperm parameters. However, in the dysspermia group, in addition to sperm conditions, oocyte quality acted as a compensation for poor sperm quality, for which aminoacyl-tRNA biosynthesis and the related supporting metabolism were critical in the follicular environment, and ultimately played a decisive role in IVF/ICSI outcomes. The respective logistic regression models in combination with selective male sperm parameters, estradiol (E2), follicular alanine, glutamine, glycoprotein, lipid, and acetic acid, were constructed to predict IVF or ICSI outcomes. No matter which sex infertility comes from, factors from both men and women should be considered. The current study provides a feasible option for pre-IVF evaluation, as well as guidance for follow-up clinical intervention to improve IVF/ICSI success rates. |
format | Online Article Text |
id | pubmed-8189786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-81897862021-06-11 Follicular Metabolites-Assisted Clinical Evaluation of IVF/ICSI Outcomes Qu, Bing Xiong, Yunhe Yu, Xiaofan Ding, Jinli Weng, Jing Yang, Xinghua Ma, Yanmin Liu, Lingyan Yang, Jing Evid Based Complement Alternat Med Research Article As infertility became a significant public health problem, assisted reproductive technologies (ARTs) were introduced. However, the fertilization rate of in vitro fertilization (IVF) per cycle varied, and patients needed to repeat IVF or change to intracytoplasmic sperm injection (ICSI). Here, 75 couples suffering from female fallopian tubal blockage (tubal group) and 42 spouses beset by male abnormal sperm status (dysspermia group) were recruited. We comprehensively explored the relationship among couples' clinical factors, follicular metabolites, and IVF/ICSI stepwise outcomes. IVF/ICSI outcomes were affected by follicular metabolites and physical status in both women and men, regardless of which side infertility came from. Particularly, in the tubal group, the energy supporting pathways—glycolysis and pyruvate metabolism—were most essential in follicles, and IVF/ICSI outcomes were also related to sperm parameters. However, in the dysspermia group, in addition to sperm conditions, oocyte quality acted as a compensation for poor sperm quality, for which aminoacyl-tRNA biosynthesis and the related supporting metabolism were critical in the follicular environment, and ultimately played a decisive role in IVF/ICSI outcomes. The respective logistic regression models in combination with selective male sperm parameters, estradiol (E2), follicular alanine, glutamine, glycoprotein, lipid, and acetic acid, were constructed to predict IVF or ICSI outcomes. No matter which sex infertility comes from, factors from both men and women should be considered. The current study provides a feasible option for pre-IVF evaluation, as well as guidance for follow-up clinical intervention to improve IVF/ICSI success rates. Hindawi 2021-05-26 /pmc/articles/PMC8189786/ /pubmed/34122613 http://dx.doi.org/10.1155/2021/9999659 Text en Copyright © 2021 Bing Qu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Qu, Bing Xiong, Yunhe Yu, Xiaofan Ding, Jinli Weng, Jing Yang, Xinghua Ma, Yanmin Liu, Lingyan Yang, Jing Follicular Metabolites-Assisted Clinical Evaluation of IVF/ICSI Outcomes |
title | Follicular Metabolites-Assisted Clinical Evaluation of IVF/ICSI Outcomes |
title_full | Follicular Metabolites-Assisted Clinical Evaluation of IVF/ICSI Outcomes |
title_fullStr | Follicular Metabolites-Assisted Clinical Evaluation of IVF/ICSI Outcomes |
title_full_unstemmed | Follicular Metabolites-Assisted Clinical Evaluation of IVF/ICSI Outcomes |
title_short | Follicular Metabolites-Assisted Clinical Evaluation of IVF/ICSI Outcomes |
title_sort | follicular metabolites-assisted clinical evaluation of ivf/icsi outcomes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189786/ https://www.ncbi.nlm.nih.gov/pubmed/34122613 http://dx.doi.org/10.1155/2021/9999659 |
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