Proteomics

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Proteomic analysis of human follicular fluid in poor ovarian responders during in vitro fertilization


ABSTRACT: Poor ovarian response (POR) observed in controlled ovarian stimulation (COS) is often observed during in vitro fertilization and embryo transfer (IVF-ET) cycles and is a major problem. A POR has been found to be related to several factors, including advanced age, high body mass index, and history of ovarian or pelvic surgery. However, it is difficult to predict POR, as there are no specific biomarkers known. In this study, we used quantitative proteomic analyses to investigate potential biomarkers that can predict poor response during IVF based on follicular fluid samples. A total of 1,079 proteins were identified using a high-resolution orbitrap mass spectrometer coupled online to a nano flow liquid chromatography system. It is notable that 65 up-regulated and 66 down-regulated proteins were found to be functionally enriched in poor responders. We also validated these differentially expressed proteins (DEPs) using a triple-quadrupole (QQQ) mass spectrometer for quantification of targeted proteins. Of the DEPs, three proteins (pregnancy zone protein, renin, and sushi repeat-containing protein SRPX) were regarded as statistically significant (p < 0.05). These proteins (one known as an inhibitor of cell growth and another as a regulator of angiogenesis) are potential biomarkers candidates of POR in IVF.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Follicular Fluid

SUBMITTER: Jaewon Oh  

LAB HEAD: Kwang Pyo Kim

PROVIDER: PXD005436 | Pride | 2018-07-05

REPOSITORIES: Pride

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Proteomic analysis of human follicular fluid in poor ovarian responders during in vitro fertilization.

Oh Jae Won JW   Kim Seul Ki SK   Cho Kyung-Cho KC   Kim Min-Sik MS   Suh Chang Suk CS   Lee Jung Ryeol JR   Kim Kwang Pyo KP  

Proteomics 20170301 6


Poor ovarian response (POR) in controlled ovarian stimulation is often observed during in vitro fertilization and embryo transfer cycles and it is a major problem. A POR has been found to be related to several factors, including advanced age, high body mass index, and history of ovarian or pelvic surgery. However, it is difficult to predict POR, as there are no specific biomarkers known. In this study, we used quantitative proteomic analyses to investigate potential biomarkers that can predict p  ...[more]

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