Proteomic and bioinformatic analysis of human endometrium from polycystic ovarian syndrome with and without insulin resistance

• Main Authors: Xin Yang (Author), Wang Xiaoping (Author), Ding Nan (Author), Zhang Jian (Author), Li Xiaofeng (Author), Yuan Liwei (Author), Mengni Zhao (Author), Fang Wang (Author)
• Format: Book
• Published: Taylor & Francis Group, 2023-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Objective: The aim of this study was to investigate the endometrial proteomic profiles of patients with polycystic ovary syndrome (PCOS) with and without insulin resistance (IR). Method of Study: We collected 40 endometrial samples, including PCOS-IR (n = 21), PCOS-non-IR (n = 12), and control (n = ...