Follicular Fluid Metabolomics: Tool for Predicting IVF Outcomes of Different Infertility Causes.

Autor: Zhang Y; Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China., He C; Sichuan Normal University, Chengdu, Sichuan, China., He Y; Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China., Zhu Z; Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China. 442883354@qq.com.; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China. 442883354@qq.com.
Jazyk: angličtina
Zdroj: Reproductive sciences (Thousand Oaks, Calif.) [Reprod Sci] 2024 Aug 01. Date of Electronic Publication: 2024 Aug 01.
DOI: 10.1007/s43032-024-01664-y
Abstrakt: Infertility affects approximately 15% of couples at child-bearing ages and assisted reproductive technologies (ART), especially in vitro fertilization and embryo transfer (IVF-ET), provided infertile patients with an effective solution. The current paradox is that multiple embryo transfer that may leads to severe obstetric and perinatal complications seems to be the most valid measure to secure high success rate in the majority of clinic centers. Therefore, to avoid multiple transfer of embryos, it is urgent to explore biomarkers for IVF prognosis to select high-quality oocytes and embryos. Follicular fluid (FF), a typical biofluid constituted of the plasma effusion and granulosa-cell secretion, provides essential intracellular substances for oocytes maturation and its variation in composition reflects oocyte developmental competence and embryo viability. With the advances in metabolomics methodology, metabolomics, as an accurate and sensitive analyzing method, has been utilized to explore predictors in FF for ART success. Although FF metabolomics has provided a great possibility for screening markers with diagnostic and predictive value, its effectiveness is still doubted by some researchers. This may be resulted from the ignorance of the impact of sterility causes on the FF metabolomic profiles and thus its predictive ability might not be rightly illustrated. Therefore, in this review, we categorically demonstrate the study of FF metabolomics according to specific infertility causes, expecting to reveal the predicting value of metabolomics for IVF outcomes.
(© 2024. The Author(s).)
Databáze: MEDLINE
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