Diagnosis of pregnancy disorder in the first-trimester patient plasma with Raman spectroscopy and protein analysis.

ABSTRACT: Gestational diabetes mellitus (GDM) is a pregnancy disorder associated with short- and long-term adverse outcomes in both mothers and infants. The current clinical test of blood glucose levels late in the second trimester is inadequate for early detection of GDM. Here we show the utility of Raman spectroscopy (RS) for rapid and highly sensitive maternal metabolome screening for GDM in the first trimester. Key metabolites, including phospholipids, carbohydrates, and major amino acids, were identified with RS and validated with mass spectrometry, enabling insights into associated metabolic pathway enrichment. Using classical machine learning (ML) approaches, we showed the performance of the RS metabolic model (cross-validation AUC 0.97) surpassed that achieved with patients' clinical data al

SUBMITTER: Mathew AP 

PROVIDER: S-EPMC11558203 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature