上海交通大学学报（医学版）

上海交通大学学报(医学版) ›› 2020, Vol. 40 ›› Issue (8): 1048-1054.doi: 10.3969/j.issn.1674-8115.2020.08.008

• 论著·基础研究 • 上一篇    下一篇

基于蛋白芯片技术的多囊卵巢综合征患者卵泡液差异蛋白的研究

蒋毅弘，廖 宇，岳 江，黄 融，刘 伟   

  1. 上海交通大学医学院附属仁济医院内分泌代谢科，上海200127
  • 出版日期:2020-08-28 发布日期:2020-08-28
  • 作者简介:蒋毅弘（1988—），女，住院医师，博士；电子信箱：jiangyihong_rj@163.com。
  • 基金资助:
    国家自然科学基金（81671518）。

Screening of differential proteins from follicular fluid of patients with polycystic ovarian syndrome employing protein chip array

JIANG Yi-hong, LIAO Yu, YUE Jiang, HUANG Rong, LIU Wei   

  1. Department of Endocrinology and Metabolism, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
  • Online:2020-08-28 Published:2020-08-28
  • Supported by:
    National Natural Science Foundation of China (81671518).

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摘要： 目的·运用蛋白芯片技术筛选多囊卵巢综合征（polycystic ovary syndrome，PCOS）患者卵泡液的差异蛋白，为进一步的PCOS研究提供理论依据。方法·采用AAH-BLG-507芯片检测6例正常体质量指数PCOS患者和6例年龄、体质量指数匹配的非PCOS患者的卵泡液，筛选差异蛋白。采用功能注释分析、KEGG通路分析和蛋白互作网络分析方法对差异蛋白进行生物信息学分析。结果·与非PCOS患者相比，PCOS组患者卵泡液中表达上调蛋白25个，表达下调蛋白49个。根据分子功能分类，差异蛋白主要具有细胞因子活性和趋化因子活性。KEGG通路分析提示差异蛋白富集于细胞因子间受体相互作用和趋化因子信号通路。蛋白互作网络分析得到的核心蛋白主要为趋化因子及其受体。结论·运用蛋白芯片技术能够建立PCOS卵泡液差异表达蛋白谱，细胞因子间受体相互作用和趋化因子信号通路可能与PCOS的发病机制有关。

关键词: 多囊卵巢综合征, 卵泡液, 蛋白芯片, 生物信息学, 趋化因子

Abstract:

Objective · To identify the differential proteins from follicular fluid of patients with polycystic ovarian syndrome (PCOS) employing protein chip array, and provide a theoretical basis for further study of PCOS. Methods · AAH-BLG-507 array was used to test the follicular fluid of 6 PCOS patients with normal body mass index (BMI) and 6 non-PCOS controls with age and BMI-matched. The differential proteins were identified and bioinformatics analysis was carried out by functional annotation analysis, KEGG pathway analysis and protein-protein interaction network analysis. Results · Compared with non-PCOS controls, 25 up-regulated proteins and 49 down-regulated proteins were identified from follicular fluid of patients with PCOS. The classification of differential proteins based on molecular function revealed that they were mainly involved in cytokine activity and chemokine activity. KEGG pathway analysis was performed and pathways associated with cytokine-cytokine receptor interaction and chemokine signaling pathway were significantly enriched. The core proteins filtered by protein-protein interaction network analysis were mainly chemokines and their receptors. Conclusion · Protein chip array can be used to establish the differential expressed protein profile from follicular fluid of patients with PCOS. The cytokine-cytokine receptor interaction and chemokine signaling pathway may be involved in the pathogenesis of PCOS.

Key words: polycystic ovary syndrome, follicular fluid, protein chip, bioinformatics, chemokine

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