4.7 Article

Identification of novel first-trimester serum biomarkers for early prediction of preeclampsia

期刊

JOURNAL OF TRANSLATIONAL MEDICINE
卷 21, 期 1, 页码 -

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BMC
DOI: 10.1186/s12967-023-04472-1

关键词

Prediction; Preeclampsia; First trimester; Serum; Biomarker

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Novel first-trimester serum biomarkers were identified and an effective prediction model for preeclampsia (PE) was developed using immune-related factors and placental growth factor (PlGF), which could aid in the development of early diagnostic strategies for PE and provide new insights into its immunological mechanisms.
BackgroundPreeclampsia (PE) is a leading cause of maternal and perinatal mortality and morbidity worldwide, but effective early prediction remains a challenge due to the lack of reliable biomarkers.MethodsBased on the extensive human biobank of our large-scale assisted reproductive cohort platform, the first-trimester serum levels of 48 cytokines, total immunoglobulins (Igs), anti-phosphatidylserine (aPS) antibodies, and several previously reported PE biomarkers [including placental growth factor (PlGF), soluble fms-like tyrosine kinase-1 (sFlt-1), and activin A] were measured in 34 women diagnosed with PE and 34 matched normotensive controls.ResultsThe PE group has significantly higher first-trimester serum levels of interleukin (IL)-2R & alpha;, IL-9, tumor necrosis factor-& beta; (TNF-& beta;), RANTES, hepatocyte growth factor (HGF), total IgM, and total IgG, and aPS IgG optical density (OD) value, as well as lower first-trimester serum levels of PlGF and total IgA and aPS-IgG immune complexes (IC) OD value than the control group. Combining top five first-trimester serum biomarkers (total IgM, total IgG, PlGF, aPS IgG, and total IgA) achieved superior predictive value [area under the curve (AUC) and 95% confidence interval (CI) 0.983 (0.952-1.000), with a sensitivity of 100% and a specificity of 94.1%] for PE development compared to PlGF and PlGF/sFlt-1 independently [AUC and 95% CI 0.825 (0.726-0.924) and 0.670 (0.539-0.800), respectively].ConclusionWe identified novel first-trimester serum biomarkers and developed an effective first-trimester prediction model using immune-related factors and PlGF for PE, which could facilitate the development of early diagnostic strategies and provide immunological insight into the further mechanistic exploration of PE.

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