Peptidomic analysis of follicular fluid in patients with polycystic ovarian syndrome

• Published in: Frontiers in cell and developmental biology Vol. 11; p. 1289063
• Main Authors: Sun, Ningyu, Chen, Yuanyuan, Lu, Lu, Yan, Hua, Zhou, Jing, Li, Kai, Zhang, Wuwen, Yuan, Lihua, Heng, Boon Chin, Zeng, Weiwei, Shi, Yin, Tong, Guoqing, Yin, Ping
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 08.11.2023
• Subjects: assisted reproduction; follicular fluid; in vitro fertilization; peptidomics analysis; polycystic ovarian syndrome
• ISSN: 2296-634X; 2296-634X
• DOI: 10.3389/fcell.2023.1289063

Objective: The aim of this study was to analyze and compare the differential expression of peptides within the follicular fluid of polycystic ovary syndrome (PCOS) patients versus normal women by using peptidomics techniques. The underlying mechanisms involved in PCOS pathogenesis will be explored, together with screening and identification of potential functional peptides via bioinformatics analysis. Materials and methods: A total of 12 patients who underwent in vitro fertilization and embryo transfer (IVF-ET) at the Reproductive Medicine Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from 1 September 2022 to 1 November 2022 were included in this study. The follicular fluid of PCOS patients ( n = 6) and normal women ( n = 6) were collected. The presence and concentration differences of various peptides were detected by the LC-MS/MS method. GO and KEGG analysis were performed on the precursor proteins of the differentially-expressed peptides, and protein network interaction analysis was carried out to identify functionally-relevant peptides among the various peptides. Results: A variety of peptides within the follicular fluid of PCOS versus normal patients were detected by peptidomics techniques. Altogether, 843 upregulated peptides and 236 downregulated peptides were detected (absolute fold change ≥2 and p < 0.05). Of these, 718 (718 = 488 + 230) peptides were only detected in the PCOS group, while 205 (205 = 174 + 31) were only detected in the control group. Gene Ontology enrichment and pathway analysis were performed to characterize peptides through their precursor proteins. We identified 18 peptides from 7 precursor proteins associated with PCOS, and 4 peptide sequences were located in the functional domains of their corresponding precursor proteins. Conclusion: In this study, differences in the follicular development of PCOS versus normal patients were revealed from the polypeptidomics of follicular development, which thus provided new insights for future studies on the pathological mechanisms of PCOS development.