Precision nutrition最新文献

Background: Precision nutrition emphasizes tailoring dietary requirements across populations and life stages. Optimal folate and vitamin B12 levels are important for normal growth and development, but data are lacking for low-income minority U.S. children during early life periods. This study aimed to describe folate, vitamin B12, homocysteine (Hcy) levels, and influencing factors to address the gaps.

Methods: Blood samples from children aged 6 months to 9 years and mothers 48-72 hours postpartum in the Boston Birth Cohort (BBC) were tested for folate, vitamin B12, and Hcy. Maternal and child characteristics, sociodemographic factors, and feeding status were obtained from a standard maternal questionnaire interview at the enrollment and follow-up, and medical records. The distribution of children's folate, vitamin B12, and Hcy were described and factors influencing these biomarkers were analyzed.

Results: A wide distribution of folate, vitamin B12, and Hcy levels was observed in this sample, with longitudinal trends consistent with National Health and Nutrition Examination Survey (NHANES) data. Multivariate analysis showed that very preterm birth correlated with higher folate levels (adjusted β 4.236; 95% CI: 1.218, 7.253; p=0.006). Children aged 1-2 years and 3-8 years had lower folate levels compared to those <1 year (adjusted β -10.191 and -7.499 respectively; p<0.001). Vitamin B12 levels were higher in Black children (adjusted fold change 1.139; 95% CI: 1.052, 1.233; p=0.001) and those children whose mothers' B12 levels were at the highest quartile (Q4) (adjusted fold change 1.229; 95% CI: 1.094, 1.380; p=0.001). Delayed solid food introduction (> 6 months) correlated with lower children's B12 levels (adjusted fold change 0.888; 95% CI: 0.809, 0.975; p=0.013). Hcy levels were lower in Black children (adjusted fold change 0.962; 95% CI: 0.932, 0.993; p=0.018), higher in children with maternal Hcy levels in Q4 (adjusted fold change 1.081; 95% CI: 1.03, 1.135; p=0.002) and in children aged 3-8 years (adjusted fold change 1.084; 95% CI: 1.040, 1.131; p< 0.001).

Conclusions: This study revealed wide variations in plasma folate, vitamin B12, and Hcy levels among low-income minority U.S. children and identified race, maternal levels, child's age, prematurity, and timing of solid food introduction as significant correlates.

Neurodevelopmental disabilities (NDD) are a group of conditions with onset in early development period and is characterized by limitations in several functional domains. Autism spectrum disorder (ASD) and Attention-Deficit Hyperactivity Disorders (ADHD), the most common NDDs, have complex etiologies and possibly multiple pathways leading up to the manifestation of these disorders. Boston Birth Cohort (BBC) is a preterm enriched birth cohort, and over the years, researchers have used the BBC dataset to study a broad spectrum of early life protective and risk factors in the context of NDDs. Broadly, some of them include: 1) nutrition (e.g. maternal folate, vitamin B12, cord folate species, selenium), 2) metabolic factors (e.g. role of maternal diabetes, obesity, branched chain amino acids and other essential amino acids), 3) lipid metabolism (e.g. maternal cholesterol), 4) immune activation and/or systematic inflammation (including maternal immune activation, inflammation of the placenta, inflammatory markers, maternal antibiotic use and acetaminophen use), and 5) other factors associated with NDDs (e.g. maternal stress, sickle cell disease). The findings from these studies are discussed in this review. BBC studies have advanced the field of NDD in the following important ways: 1) generating evidence that sheds light on new exposures, 2) furthering the existing knowledge using better methodological approaches, 3) analyzing novel mechanistic pathways on already proven relationship, and 4) advancing knowledge on the under-studied minority population in the U.S. BBC researchers are involved in ongoing efforts to characterize NDD developmental trajectories across the life stages by integrating multi-omics data (genome, epigenome, and metabolome) to gain a deeper understanding of the molecular pathways by which early life factors drive or shape the developmental trajectories of NDDs.