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

Jae Won Oh, Seul Ki Kim, Kyung Cho Cho, Min Sik Kim, Chang Suk Suh, Jung Ryeol Lee, Kwang Pyo Kim

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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 poor response during in vitro fertilization based on follicular fluid samples. A total of 1079 proteins were identified using a high-resolution orbitrap mass spectrometer coupled online to a nanoflow-LC system. It is notable that 65 upregulated and 66 downregulated proteins were found to be functionally enriched in poor responders. We also validated these differentially expressed proteins using a triple-quadrupole mass spectrometer for quantification of targeted proteins. Of the differentially expressed proteins, three proteins (pregnancy zone protein, renin, and sushi repeat-containing protein SRPX) were regarded as statistically significant (p < 0.05).

Original languageEnglish
Article number1600333
JournalProteomics
Volume17
Issue number6
DOIs
StatePublished - 1 Mar 2017

Fingerprint

Follicular Fluid
Fertilization in Vitro
Proteomics
Fluids
Proteins
Biomarkers
Mass spectrometers
Pregnancy Proteins
Ovulation Induction
Embryo Transfer
Renin
Surgery
Body Mass Index
Down-Regulation

Keywords

  • Biomarker
  • Follicular fluid
  • MRM
  • Poor ovarian response
  • Proteomics

Cite this

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abstract = "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 poor response during in vitro fertilization based on follicular fluid samples. A total of 1079 proteins were identified using a high-resolution orbitrap mass spectrometer coupled online to a nanoflow-LC system. It is notable that 65 upregulated and 66 downregulated proteins were found to be functionally enriched in poor responders. We also validated these differentially expressed proteins using a triple-quadrupole mass spectrometer for quantification of targeted proteins. Of the differentially expressed proteins, three proteins (pregnancy zone protein, renin, and sushi repeat-containing protein SRPX) were regarded as statistically significant (p < 0.05).",
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Proteomic analysis of human follicular fluid in poor ovarian responders during in vitro fertilization. / Oh, Jae Won; Kim, Seul Ki; Cho, Kyung Cho; Kim, Min Sik; Suh, Chang Suk; Lee, Jung Ryeol; Kim, Kwang Pyo.

In: Proteomics, Vol. 17, No. 6, 1600333, 01.03.2017.

Research output: Contribution to journalArticle

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AU - Oh, Jae Won

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AU - Cho, Kyung Cho

AU - Kim, Min Sik

AU - Suh, Chang Suk

AU - Lee, Jung Ryeol

AU - Kim, Kwang Pyo

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