Cargando…
A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients
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 predictio...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482139/ https://www.ncbi.nlm.nih.gov/pubmed/28534980 http://dx.doi.org/10.3892/mmr.2017.6604 |
_version_ | 1783245524986494976 |
---|---|
author | Wu, Lan Sun, Yazhou Wan, Jun Luan, Ting Cheng, Qing Tan, Yong |
author_facet | Wu, Lan Sun, Yazhou Wan, Jun Luan, Ting Cheng, Qing Tan, Yong |
author_sort | Wu, Lan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5482139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-54821392017-06-28 A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients Wu, Lan Sun, Yazhou Wan, Jun Luan, Ting Cheng, Qing Tan, Yong Mol Med Rep Articles 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. D.A. Spandidos 2017-07 2017-05-18 /pmc/articles/PMC5482139/ /pubmed/28534980 http://dx.doi.org/10.3892/mmr.2017.6604 Text en Copyright: © Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Wu, Lan Sun, Yazhou Wan, Jun Luan, Ting Cheng, Qing Tan, Yong A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients |
title | A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients |
title_full | A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients |
title_fullStr | A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients |
title_full_unstemmed | A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients |
title_short | A proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients |
title_sort | proteomic analysis identifies candidate early biomarkers to predict ovarian hyperstimulation syndrome in polycystic ovarian syndrome patients |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482139/ https://www.ncbi.nlm.nih.gov/pubmed/28534980 http://dx.doi.org/10.3892/mmr.2017.6604 |
work_keys_str_mv | AT wulan aproteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT sunyazhou aproteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT wanjun aproteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT luanting aproteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT chengqing aproteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT tanyong aproteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT wulan proteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT sunyazhou proteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT wanjun proteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT luanting proteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT chengqing proteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients AT tanyong proteomicanalysisidentifiescandidateearlybiomarkerstopredictovarianhyperstimulationsyndromeinpolycysticovariansyndromepatients |