ArticleScientific reports2024
Protein biomarker signatures of preeclampsia - a longitudinal 5000-multiplex proteomics study.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A first-trimester mechanistic framework integrating three Physiopathologic biomarker domains for pre-eclampsia classification.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Placental Protein Release and Uptake From the Fetal Circulation in Healthy Term Pregnancies-A Human In Vivo Exploratory Study.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Large-Scale Proteomics Reveals New Candidate Biomarkers for Late-Onset Preeclampsia.Hypertension (Dallas, Tex. : 1979) · 2026Article
- Placenta-Derived Proteins in Preeclampsia: A Human In Vivo Study.Hypertension (Dallas, Tex. : 1979) · 2025Article
- Exploring the plasma proteome linked to corpus luteum presence and conception mode across pregnancy stages and postpartum.Journal of assisted reproduction and genetics · 2025Article
- Maternal Plasma Proteins Associated with Birth Weight: A Longitudinal, Large Scale Proteomic Study.Journal of proteome research · 2025Article
- Proteome-Based Maternal Plasma and Serum Biomarkers for Preeclampsia: A Systematic Review and Meta-Analysis.Life (Basel, Switzerland) · 2025Review
- Prediction of late-onset preeclampsia using plasma proteomics: a longitudinal multi-cohort study.Scientific reports · 2024Article
- Unraveling Posttranslational Modification Complexity: Advances in Quantitative Histone Proteoform Mass Spectrometry.Mass spectrometry reviewsReview
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7 authors.
Funding
Abstract
We aimed to explore novel biomarker candidates and biomarker signatures of late-onset preeclampsia (LOPE) by profiling samples collected in a longitudinal discovery cohort with a high-throughput proteomics platform. Using the Somalogic 5000-plex platform, we analyzed proteins in plasma samples collected at three visits (gestational weeks (GW) 12-19, 20-26 and 28-34 in 35 women with LOPE (birth ≥ 34 GW) and 70 healthy pregnant women). To identify biomarker signatures, we combined Elastic Net with Stability Selection for stable variable selection and validated their predictive performance in a validation cohort. The biomarker signature with the highest predictive performance (AUC 0.88 (95% CI 0.85-0.97)) was identified in the last trimester of pregnancy (GW 28-34) and included the Fatty acid amid hydrolase 2 (FAAH2), HtrA serine peptidase 1 (HTRA1) and Interleukin-17 receptor C (IL17RC) together with sFLT1 and maternal age, BMI and nulliparity. Our biomarker signature showed increased or similar predictive performance to the sFLT1/PGF-ratio within our data set, and we were able to validate the biomarker signature in a validation cohort (AUC ≥ 0.90). Further validation of these candidates should be performed using another protein quantification platform in an independent cohort where the negative and positive predictive values can be validly calculated.
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