Dataset Information

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]

PMID: 28130869

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Project description:IVF success rate remains low (usually around 30%) and many cycles are needed to achieve pregnancy, raising issues for patients and society. IVF success or failure mainly depends on quality of the oocytes retrieved and on the patient response to the ovarian stimulation. Hormonal stimulation prior to IVF influences the ovarian environment and therefore impacts oocytes and subsequent embryo quality. We believe that if more information was available to clinicians to analyze why a cycle has failed, they could adapt the next stimulation protocol accordingly and improve success rate. We believe that particular molecular signatures are associated with failure causes and that RNA analysis could be used as a diagnosis tool. The aim of this study was to compare gene expression between failed and successful IVF cycles and to determine how gene expression is affected in follicles from failed cycles. Gene expression in follicular cells obtained from IVF patients (n=32) was analyzed using microarray. Patients that did not become pregnant following the IVF cycle were compared to those that did. Quantitative RT-PCR was used to validate the microarray results and functional analysis was performed using ingenuity pathway analysis. 165 genes were differently expressed between the two groups, including many pro-inflammatory cytokines or other factors related to inflammation. For example, EGR1, IL1B, IL8, CXCL2, CCL3 and CCL4 were all up-regulated in the negative group compared to the positive group. Overexpression of several factors, some of which act upstream from VEGF, indicates increased permeability and vasodilation. Recruitment of immune cells to ovarian tissues also appears more pronounced in the negative group, and might reflect leukocytosis. Our results indicate an impaired balance between pro- and anti- inflammatory mediators in the failed IVF group and also suggest an intermediate state of OHSS that affects oocytes without leading to systemic problems. Some differentially expressed genes appear related to abnormal differentiation and increased apoptosis, which could also result from follicular aging. These findings provide potential biomarkers to identify failure causes, which should lead to improved stimulation protocols and more successful treatment of infertility.

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