期刊
JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE
卷 35, 期 25, 页码 6192-6198出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/14767058.2021.1909562
关键词
Metabolome; newborn screening; fetal growth restriction
资金
- University of California San Francisco Preterm Birth Initiative (PTBi), San Francisco, CA
The study analyzed data from 736,435 California infants born between 2005-2011 to determine the effects of SES and SGA on infant metabolite levels. Findings showed that SGA was significantly associated with 36 metabolites, while SES was significantly associated with 41 out of 42 metabolites. The study also revealed a dose-response relationship between SGA and metabolite levels as SES worsened, and significant interaction between SES and SGA on 14 metabolites.
Objectives To determine whether socioeconomic status (SES) and small birthweight for gestational age (SGA) exhibit independent or joint effects on infant levels of 42 metabolites. Study design Population-based retrospective cohort of metabolic newborn screening information linked to hospital discharge data. SGA infants defined by birthweight <10th percentile for gestational age by sex. SES was determined by a combined metric including education level, participation in the WIC nutritional assistance program, and receiving California MediCal insurance. We performed linear regression to determine the effects of SES independently, SGA independently, and the interaction of SGA and SES on 42 newborn metabolite levels. Results 736,435 California infants born in 2005-2011 were included in the analysis. SGA was significantly associated with 36 metabolites. SES was significantly associated with 41 of 42 metabolites. Thirty-eight metabolites exhibited a dose-response relationship between SGA and metabolite levels as SES worsened. Fourteen metabolites showed significant interaction between SES and SGA. Eight metabolites showed significant individual and joint effects of SES and SGA: alanine, glycine, free carnitine, C-3DC, C-5DC, C-16:1, C-18:1, and C-18:2. Conclusions SES and SGA exhibited independent effects on a majority of metabolites and joint effects on select metabolites. A better understanding of how SES and SGA status are related to infant metabolites may help identify maternal and newborn interventions that can lead to better outcomes for infants born SGA.
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