A proteomic analysis of human follicular fluid: proteomic profile associated with embryo quality

Author:

Ji Jingjuan1ORCID,Zhu Xinyi1,Zhang Yan1,Shui Lijun1,Bai Shun1,Huang Lingli1,Wang Haoyu1,Luo Lihua1,Xu Bo1

Affiliation:

1. The First Affiliated Hospital of USTC: Anhui Provincial Hospital

Abstract

Abstract Embryo selection is a key point of in vitro fertilization (IVF). The most commonly used method for embryo selection is morphological assessment. However, it is sometimes inaccurate. Follicular fluid (FF) contains a complex mixture of proteins that are essential for follicle development and oocyte maturation. Analyzing human FF proteomic profiles and identifying predictive biomarkers might be helpful for evaluating embryo quality. A total of 22 human FF samples were collected from 19 infertile women who underwent IVF/intracytoplasmic sperm injection (ICSI) treatment between October 2021 and November 2021. FFs were grouped into two categories on the basis of the day 3 embryo quality, grade Ⅰ or Ⅱ in the hqFF group and grade Ⅲ in the nhqFF group. FF was analyzed by liquid chromatography-tandem mass spectrometry (LC/MS/MS). The key differentially expressed proteins (DEPs) were validated by parallel reaction monitoring (PRM). Differentially expressed proteins were further analyzed using DAVID software. A total of 558 proteins were identified, of which 50 proteins were differentially expressed inthe hqFF vs. nhqFF group, including 32 upregulated proteins (>1.20-fold, P<0.05) and 18 downregulated proteins (<0.67-fold, P<0.05). Bioinformatics analyses showed that the upregulated DEPs were enriched in components of the coagulation and complement systems and negative regulation of peptidase activity, while the downregulated DEPs were enriched in molecular function of extracellular matrix structural and constituent collagen binding. Our results suggested that a number of protein biomarkers in FF were associated with embryo quality. It may help develop an effective and noninvasive method for embryo selection.

Publisher

Research Square Platform LLC

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