Untargeted Metabolome Analysis of Alcohol-Exposed Pregnancies Reveals Metabolite Differences That Are Associated with Infant Birth Outcomes.
Julie M HaskenMarlene M de VriesAnna-Susan MaraisPhilip A MayCharles D H ParrySoraya SeedatSandra M MooneySusan M SmithPublished in: Nutrients (2022)
Prenatal alcohol exposure can produce offspring growth deficits and is a leading cause of neurodevelopmental disability. We used untargeted metabolomics to generate mechanistic insight into how alcohol impairs fetal development. In the Western Cape Province of South Africa, 52 women between gestational weeks 5-36 (mean 18.5 ± 6.5) were recruited, and they provided a finger-prick fasting bloodspot that underwent mass spectrometry. Metabolomic data were analyzed using partial least squares-discriminant analyses (PLS-DA) to identify metabolites that correlated with alcohol exposure and infant birth outcomes. Women who consumed alcohol in the past seven days were distinguished by a metabolite profile that included reduced sphingomyelins, cholesterol, and pregnenolones, and elevated fatty acids, acyl and amino acyl carnitines, and androsterones. Using PLS-DA, 25 of the top 30 metabolites differentiating maternal groups were reduced by alcohol with medium-chain free fatty acids and oxidized sugar derivatives having the greatest influence. A separate ortho -PLS-DA analysis identified a common set of 13 metabolites that were associated with infant length, weight, and head circumference. These included monoacylglycerols, glycerol-3-phosphate, and unidentified metabolites, and most of their associations were negative, implying they represent processes having adverse consequences for fetal development.
Keyphrases
- south africa
- mass spectrometry
- fatty acid
- pregnancy outcomes
- ms ms
- alcohol consumption
- gestational age
- body mass index
- pregnant women
- liquid chromatography
- weight gain
- polycystic ovary syndrome
- physical activity
- hiv positive
- type diabetes
- birth weight
- machine learning
- magnetic resonance imaging
- magnetic resonance
- preterm birth
- big data
- computed tomography
- blood pressure
- high resolution
- human immunodeficiency virus
- artificial intelligence
- body weight
- capillary electrophoresis
- optical coherence tomography
- cervical cancer screening
- breast cancer risk