Open Access

A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients

  • Authors:
    • Lan Wu
    • Yazhou Sun
    • Jun Wan
    • Ting Luan
    • Qing Cheng
    • Yong Tan
  • View Affiliations

  • Published online on: May 18, 2017     https://doi.org/10.3892/mmr.2017.6604
  • Pages: 272-280
  • Copyright: © Wu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Ovarian hyperstimulation syndrome (OHSS) is a potentially life‑threatening, iatrogenic complication that occurs during assisted reproduction. Polycystic ovarian syndrome (PCOS) significantly increases the risk of OHSS during controlled ovarian stimulation. Therefore, a more effective early prediction technique is required in PCOS patients. Quantitative proteomic analysis of serum proteins indicates the potential diagnostic value for disease. In the present study, the authors revealed the differentially expressed proteins in OHSS patients with PCOS as new diagnostic biomarkers. The promising proteins obtained from liquid chromatography‑mass spectrometry were subjected to ELISA and western blotting assay for further confirmation. A total of 57 proteins were identified with significant difference, of which 29 proteins were upregulated and 28 proteins were downregulated in OHSS patients. Haptoglobin, fibrinogen and lipoprotein lipase were selected as candidate biomarkers. Receiver operating characteristic curve analysis demonstrated all three proteins may have potential as biomarkers to discriminate OHSS in PCOS patients. Haptoglobin, fibrinogen and lipoprotein lipase have never been reported as a predictive marker of OHSS in PCOS patients, and their potential roles in OHSS occurrence deserve further studies. The proteomic results reported in the present study may gain deeper insights into the pathophysiology of OHSS.
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July-2017
Volume 16 Issue 1

Print ISSN: 1791-2997
Online ISSN:1791-3004

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Spandidos Publications style
Wu L, Sun Y, Wan J, Luan T, Cheng Q and Tan Y: A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients. Mol Med Rep 16: 272-280, 2017
APA
Wu, L., Sun, Y., Wan, J., Luan, T., Cheng, Q., & Tan, Y. (2017). A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients. Molecular Medicine Reports, 16, 272-280. https://doi.org/10.3892/mmr.2017.6604
MLA
Wu, L., Sun, Y., Wan, J., Luan, T., Cheng, Q., Tan, Y."A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients". Molecular Medicine Reports 16.1 (2017): 272-280.
Chicago
Wu, L., Sun, Y., Wan, J., Luan, T., Cheng, Q., Tan, Y."A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients". Molecular Medicine Reports 16, no. 1 (2017): 272-280. https://doi.org/10.3892/mmr.2017.6604