| Download | - View final version: Proteomic signatures predict preeclampsia in individual cohorts but not across cohorts: implications for clinical biomarker studies (PDF, 1.5 MiB)
- View supplementary information: Proteomic signatures predict preeclampsia in individual cohorts but not across cohorts: implications for clinical biomarker studies (DOCX, 1.6 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1080/14767058.2021.1888915 |
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| Author | Search for: Ghaemi, Mohammad S.; Search for: Tarca, Adi L.; Search for: Romero, Roberto; Search for: Stanley, Natalie; Search for: Fallahzadeh, Ramin; Search for: Tanada, Athena; Search for: Culos, Anthony; Search for: Ando, Kazuo; Search for: Han, Xiaoyuan; Search for: Blumenfeld, Yair J.ORCID identifier: https://orcid.org/0000-0002-9440-8175; Search for: Druzin, Maurice L.; Search for: El-Sayed, Yasser Y.; Search for: Gibbs, Ronald S.; Search for: Winn, Virginia D.; Search for: Contrepois, Kevin; Search for: Ling, Xuefeng B.; Search for: Wong, Ronald J.; Search for: Shaw, Gary M.; Search for: Stevenson, David K.; Search for: Gaudilliere, Brice; Search for: Aghaeepour, Nima; Search for: Angst, Martin S. |
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| Format | Text, Article |
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| Subject | biomarker; gestational age; preeclampsia; pregnancy; proteomics |
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| Abstract | Early identification of pregnant women at risk for preeclampsia (PE) is important, as it will enable targeted interventions ahead of clinical manifestations. The quantitative analyses of plasma proteins feature prominently among molecular approaches used for risk prediction. However, derivation of protein signatures of sufficient predictive power has been challenging. The recent availability of platforms simultaneously assessing over 1000 plasma proteins offers broad examinations of the plasma proteome, which may enable the extraction of proteomic signatures with improved prognostic performance in prenatal care. |
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| Publication date | 2022-12-12 |
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| Publisher | Informa UK Limited |
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| Licence | |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC publication | This is a non-NRC publication"Non-NRC publications" are publications authored by NRC employees prior to their employment by NRC. |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 34916f79-46ae-4077-bd3a-b7f2e0b93ae2 |
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| Record created | 2023-01-23 |
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| Record modified | 2023-01-26 |
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