Prospective nested case–control study reveals sPD-L1 as a predictor for fetal growth restriction and its subtypes.
Fetal growth restriction (FGR) is a leading cause of perinatal morbidity and mortality, yet reliable first-trimester biomarkers for early prediction remain lacking. Growing evidence suggests that placental dysfunction is a central pathological driver of FGR. Therefore, placenta-derived proteins in maternal circulation may serve as mechanistically informative biomarkers for early detection. Here, we aimed to evaluate several placenta-relevant molecules as biomarkers for predicting isolated FGR and its subtypes. In this prospective nested case–control study, we included singleton pregnancies that underwent Down screening in the first trimester and were subsequently diagnosed with FGR (n = 50, including early-onset FGR [EFGR] and late-onset FGR [LFGR]) and healthy pregnancies (n = 100). Pregnancies with maternal comorbidities or fetal anomalies were excluded. Maternal serum protein concentrations were measured using ELISA kits. There were no significant differences in placenta-specific protein 1 (PLAC1) or netrin-1 between the two groups. By contrast, maternal soluble programmed death-ligand 1 (sPD-L1) levels were significantly lower in overall FGR (p < 0.001) and FGR subtypes (p = 0.002) than in controls. Circulating sPD-L1 levels were positively correlated with gestational age at delivery and birth weight Z score. Each one-unit increase in sPD-L1 was associated with lower odds of overall FGR (Odd ratio, OR 0.33), EFGR (OR 0.17), LFGR (OR 0.43), birth weight Z score 3–10% (OR 0.30), and neonatal intensive care unit (NICU) admission (OR 0.38). Moreover, first-trimester sPD-L1 predicted overall FGR (area under the receiver operating characteristic curve, AUC 0.75), EFGR (AUC 0.84), LFGR (AUC 0.70), birth weight Z score 3–10% (AUC 0.75), and NICU admission (AUC 0.67). Collectively, decreased maternal circulating sPD-L1 in early pregnancy may serve as a potential biomarker for isolated FGR, warranting validation in larger multicenter mechanistic studies.
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