Apolipoprotein A-IV as a novel gene associated with polycystic ovary syndrome

Kim,Yong-Soo; Gu,Bon-Hee; Choi,Bum-Chae; Kim,Myung-Sun; Song,Sangjin; Yun,Ji-Hyun; Chung,Mi  Kyung; Choi,Cheol-Hee; Baek,Kwang-Hyun

doi:10.3892/ijmm.2013.1250

Apolipoprotein A-IV as a novel gene associated with polycystic ovary syndrome

Authors:
- Yong-Soo Kim
- Bon-Hee Gu
- Bum-Chae Choi
- Myung-Sun Kim
- Sangjin Song
- Ji-Hyun Yun
- Mi Kyung Chung
- Cheol-Hee Choi
- Kwang-Hyun Baek
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Affiliations: Department of Biomedical Science, Fertility Center, CHA University, CHA General Hospital, Seoul, Republic of Korea, Research Center for Resistant Cells, Department of Pharmacology, Chosun University Medical School, Gwangju, Republic of Korea, Department of Obstetrics and Gynecology, CL Women's Hospital, Gwangju, Republic of Korea
Published online on: January 17, 2013 https://doi.org/10.3892/ijmm.2013.1250
Pages: 707-716

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Abstract

Polycystic ovary syndrome (PCOS) is a common endocrine-metabolic disorder, affecting 6-10% of women of reproductive age. The etiology remains poorly understood. To investigate the differentially expressed proteins from PCOS patients versus healthy women, the protein expression in follicular fluid was analyzed using two-dimensional electrophoresis (2-DE). Since follicular fluid contains a number of secretory proteins required for oocyte fertilization and follicle maturation, it is possible that follicular fluid can be used as a provisional source for identifying pivotal proteins associated with PCOS. In this study, six overexpressed proteins [kininogen 1, cytokeratin 9, antithrombin, fibrinogen γ-chain, apolipoprotein A-IV (apoA-IV) precursor and α-1-B-glycoprotein (A1BG)] in follicular fluids from PCOS patients were identified with matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF-MS) and nano LC-MS/MS. Western blot analysis confirmed that the protein expression levels of apoA-IV precursor and A1BG were increased in follicular fluid from PCOS patients compared with those from normal controls. The analysis of protein expression for other proteins revealed individual variation. These results facilitate the understanding of the molecular mechanisms of PCOS and provide candidate biomarkers for the development of diagnostic and therapeutic tools.

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