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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\u2010resolution orbitrap mass spectrometer coupled online to a nanoflow\u2010LC 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\u2010quadrupole mass spectrometer for quantification of targeted proteins. Of the differentially expressed proteins, three proteins (pregnancy zone protein, renin, and sushi repeat\u2010containing protein SRPX) were regarded as statistically significant (\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.05).\n                  <\/jats:p>","DOI":"10.1002\/pmic.201600333","type":"journal-article","created":{"date-parts":[[2017,1,28]],"date-time":"2017-01-28T03:52:53Z","timestamp":1485575573000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Proteomic analysis of human follicular fluid in poor ovarian responders during in vitro fertilization"],"prefix":"10.1002","volume":"17","author":[{"given":"Jae Won","family":"Oh","sequence":"first","affiliation":[{"name":"Department of Applied Chemistry, College of Applied Sciences Kyung Hee University  Yongin\u2010si Gyeonggi\u2010do Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seul 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