ORCID Profile
0000-0001-8118-251X
Current Organisations
The University of Auckland
,
Graeme Dingle Foundation
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Publisher: Wiley
Date: 07-08-2018
Abstract: Epidemiological studies have consistently demonstrated that environmental exposures in early life are associated with later-life health status and disease susceptibility. Epigenetic modifications, such as DNA methylation, have been suggested as potential mechanisms linking the intrauterine environment with offspring health status. The present systematic review compiles peer-reviewed randomized controlled trials assessing the impact of maternal nutritional interventions on DNA methylation patterns of the offspring. The results of the included trials are consistent with micronutrient supplementation not significantly affecting offspring tissue DNA methylation patterns, yet subgrouping by sex, BMI, and smoking status increased the significance of nutritional supplementation on DNA methylation. Maternal BMI and smoking status as well as offspring sex were factors influencing offspring DNA methylation responsiveness to nutritional interventions during pregnancy. Future research should aim at assessing the impact of nutritional interventions on DNA methylation patterns of neonates comparing single versus multi-micronutrient supplementation, within populations having high versus low baseline nutritional statuses.
Publisher: Oxford University Press (OUP)
Date: 12-01-2022
Abstract: Establishing diet–disease associations requires reliable assessment of dietary intake. With the rapid advancement of metabolomics, its use in identifying objective biomarkers of dietary exposure has substantially increased. The aim of our review was to systematically combine all observational studies linking dietary intake patterns with metabolomic profiles of human biospecimens. Five databases were searched – MEDLINE, Embase, Scopus, Web of Science, and Cochrane CENTRAL – to March 2020. Of the 14 328 studies initially screened, 35 observational studies that met the specified inclusion criteria were included. All reviewed studies indicated that metabolomic measures were significantly correlated with dietary patterns, demonstrating the potential for using objective metabolomic measures to characterize in iduals’ dietary intake. However, similar dietary patterns did not always result in similar metabolomic profiles across different study populations. Metabolomic profiles reflect a multitude of factors, including diet, genetic, phenotypic, and environmental influences, thereby providing a more comprehensive picture of the impact of diet on metabolism and health outcomes. Further exploration of dietary patterns and metabolomic profiles across different population groups is warranted.
Publisher: Elsevier BV
Date: 2020
DOI: 10.1093/CDN/NZAA179
Publisher: Elsevier BV
Date: 07-2020
DOI: 10.1093/CDN/NZAA103
Publisher: Elsevier BV
Date: 11-2019
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Stephanie Andraos.