PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 2, 20260 citations

Serum metabolomics in early pregnancy differentiates between gestational hypertension and preeclampsia.

TKTahmineh Romero KalbasiCJCarla JanzenYHYang Hu

Key Points

  • This study aims to determine if serum metabolomic profiles can differentiate between gestational hypertension and preeclampsia early in pregnancy.
  • High-resolution metabolomics analysis on serum samples from 126 early-pregnancy women
  • Metabolic profiles compared across gHTN, PE, and non-IPD groups
  • Multivariable linear regression models adjusted for maternal and pregnancy characteristics
  • Distinct metabolic profiles identified for gHTN and PE compared to non-IPD (p=0.008)
  • Tryptophan and derivatives progressively depleted with increasing disease severity
  • PE showed lower concentration of phenylalanine and pantothenic acid compared to gHTN

Abstract

BACKGROUND: Early identification of pregnancies at risk for gestational hypertension (gHTN) and preeclampsia (PE) remains a major clinical challenge. We investigated whether early‑pregnancy serum metabolomic profiles differentiate gHTN and PE prior to clinical onset. METHODS: High-resolution metabolomics (HRM) analysis was performed on 126 early-pregnancy serum samples collected at ≤ 20 weeks' gestation from 97 pregnant women enrolled in the Placental Assessment in Response to Environmental Pollution study (PARENTs) cohort at UCLA. Metabolic profiles were compared among pregnancies that later developed gestational hypertension (gHTN; n = 14 mothers, 20 samples), preeclampsia (PE; n = 9 mothers, 11 samples), and pregnancies without ischemic placental disease (non-IPD; n = 74 mothers, 95 samples). Untargeted metabolome-wide association studies (MWAS) and pathway enrichment analyses were conducted. Multivariable linear regression models adjusted for key maternal and pregnancy characteristics such as maternal age, race/ethnicity, early-pregnancy BMI, fetal sex, and parity were used to evaluate associations. RESULTS: Distinct metabolic profiles differentiated gHTN and PE from non-IPD pregnancies. Alterations in the tryptophan metabolism pathway were observed in both gHTN and PE, with a significant dose-response relationship across groups (non-IPD > gHTN > PE, p = 0.008). Key metabolites, including tryptophan and its derivatives, were progressively depleted in association with increasing disease severity. Additionally, urea cycle metabolism was altered in gHTN, with higher levels of arginine and citrulline linked to nitric oxide production and vascular tone regulation. Comparisons between PE and gHTN revealed additional differences, including lower concentration of phenylalanine and pantothenic acid in PE, suggesting distinct metabolic alteration. CONCLUSION: Early‑pregnancy metabolomic signatures reveal both shared and condition‑specific metabolic pathways underlying gHTN and PE, with tryptophan metabolism showing a dose-response relationship indicative of disease severity. These early gestational alterations may serve as biomarkers for hypertensive disorders of pregnancy (HDP), enabling closer monitoring and stratification in high-risk pregnancies. Further studies in larger cohorts are needed to validate these findings and explore therapeutic implications.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kalbasi et al. (2026) studied this question.

synapsesocial.com/papers/69f5947e71405d493afff3d3https://doi.org/10.1186/s12884-026-09168-0
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Aspirin versus Placebo in Pregnancies at High Risk for Preterm Preeclampsia2017 · 2,269 citations
  2. 2Hypertensive Disorders of Pregnancy2024 · 41 citations
  3. 3Serotonin and Dopamine in Essential Hypertension2012 · 3 citations
  4. 4Linking the metals to metabolism in recurrent pregnancy loss through untargeted metabolomics and machine learning2025 · 2 citations
  5. 5Maternal Amino Acid Status in Severe Preeclampsia: A Cross-Sectional Study2022 · 21 citations