Background: Experimental studies indicated that maternal choline and betaine status have the potential to alter fetal growth, but epidemiological data remain sparse. Objective: We aimed to investigate the association of maternal and cord blood choline and betaine concentrations with birthweight outcomes. Methods: This prospective cohort study involved 988 mother–infant dyads from Hebei and Shandong provinces. Plasma concentrations of choline and betaine in maternal late pregnancy and cord blood were quantified using ultra-performance liquid chromatography–mass spectrometry. Multivariable linear or logistic regression was performed to examine their association with continuous or binary birthweight outcomes. Results: Maternal plasma choline and betaine concentrations in late pregnancy (median interquartile range; 12.34 10.13, 14.78 and 14.99 12.01, 18.36 μmol/L) were significantly lower than those in cord blood (29.98 24.74, 35.93 and 31.14 25.56, 37.28 μmol/L). Each 1 μmol/L increase of late-pregnancy and cord blood betaine concentrations were associated with 9.87 g (95% confidence interval CI: −16.08, −3.66 g) and 5.29 g (95% CI: −8.52, −2.06 g) lower birthweight, respectively. Compared with the lowest quintile, the highest quintiles of late-pregnancy and cord blood betaine concentrations were associated with lower risks of large-for-gestational-age (adjusted odds ratios ORs = 0.47 95% CI: 0.24, 0.90 and 0.31 95% CI: 0.17, 0.56) and macrosomia (adjusted ORs = 0.12 95% CI: 0.03, 0.43 and 0.15 95% CI: 0.05, 0.40). These associations, particularly for cord blood, persisted and appeared more pronounced in pregnancies with maternal overweight/obesity or gestational diabetes mellitus (GDM), but the interaction effect did not reach statistical significance. No significant associations were observed for choline in any periods. Conclusions: Higher plasma concentrations of betaine in maternal late-pregnancy and cord blood were associated with lower birthweight. These findings emphasize the importance of sufficient betaine status during pregnancy, especially among mothers with obesity or GDM.
Building similarity graph...
Analyzing shared references across papers
Loading...
Sumiya Aihemaitijiang
Peking University
Jiaxing Wen
Peking University
Kai Li
Peking University
Nutrients
Peking University
Beijing Academy of Artificial Intelligence
National Health and Family Planning Commission
Building similarity graph...
Analyzing shared references across papers
Loading...
Aihemaitijiang et al. (Fri,) studied this question.
synapsesocial.com/papers/69fd7e79bfa21ec5bbf06b16 — DOI: https://doi.org/10.3390/nu18091456