Maternal dietary fatty acid composition and newborn epigenetic aging-a geometric framework approach.


Journal

The American journal of clinical nutrition
ISSN: 1938-3207
Titre abrégé: Am J Clin Nutr
Pays: United States
ID NLM: 0376027

Informations de publication

Date de publication:
11 01 2022
Historique:
received: 03 04 2021
accepted: 17 09 2021
pubmed: 1 10 2021
medline: 16 2 2022
entrez: 30 9 2021
Statut: ppublish

Résumé

Maternal nutrition is associated with epigenetic and cardiometabolic risk factors in offspring. Research in humans has primarily focused on assessing the impact of individual nutrients. We sought to assess the collective impact of maternal dietary MUFAs, PUFAs, and SFAs on epigenetic aging and cardiometabolic risk markers in healthy newborn infants using a geometric framework approach. Body fatness (n = 162), aortic intima-media thickness (aIMT; n = 131), heart rate variability (n = 118), and epigenetic age acceleration (n = 124) were assessed in newborn infants. Maternal dietary intake was cross-sectionally assessed in the immediate postpartum period via a validated 80-item self-administered FFQ. Generalized additive models were used to explore interactive associations of nutrient intake, with results visualized as response surfaces. After adjustment for total energy intake, maternal age, gestational age, and sex there was a 3-way interactive association of MUFAs, PUFAs, and SFAs (P = 0.001) with newborn epigenetic aging. This suggests that the nature of each fat class association depends upon one another. Response surfaces revealed MUFAs were positively associated with newborn epigenetic age acceleration only at proportionately lower intakes of SFAs or PUFAs. We also demonstrate a potential beneficial association of omega-3 (n-3) PUFAs with newborn epigenetic age acceleration (P = 0.008). There was no significant association of fat class with newborn aIMT, heart rate variability, or body fatness. In this study, we demonstrated an association between maternal dietary fat class composition and epigenetic aging in newborns. Future research should consider other characteristics such as the source of maternal dietary fatty acids.

Sections du résumé

BACKGROUND
Maternal nutrition is associated with epigenetic and cardiometabolic risk factors in offspring. Research in humans has primarily focused on assessing the impact of individual nutrients.
OBJECTIVES
We sought to assess the collective impact of maternal dietary MUFAs, PUFAs, and SFAs on epigenetic aging and cardiometabolic risk markers in healthy newborn infants using a geometric framework approach.
METHODS
Body fatness (n = 162), aortic intima-media thickness (aIMT; n = 131), heart rate variability (n = 118), and epigenetic age acceleration (n = 124) were assessed in newborn infants. Maternal dietary intake was cross-sectionally assessed in the immediate postpartum period via a validated 80-item self-administered FFQ. Generalized additive models were used to explore interactive associations of nutrient intake, with results visualized as response surfaces.
RESULTS
After adjustment for total energy intake, maternal age, gestational age, and sex there was a 3-way interactive association of MUFAs, PUFAs, and SFAs (P = 0.001) with newborn epigenetic aging. This suggests that the nature of each fat class association depends upon one another. Response surfaces revealed MUFAs were positively associated with newborn epigenetic age acceleration only at proportionately lower intakes of SFAs or PUFAs. We also demonstrate a potential beneficial association of omega-3 (n-3) PUFAs with newborn epigenetic age acceleration (P = 0.008). There was no significant association of fat class with newborn aIMT, heart rate variability, or body fatness.
CONCLUSIONS
In this study, we demonstrated an association between maternal dietary fat class composition and epigenetic aging in newborns. Future research should consider other characteristics such as the source of maternal dietary fatty acids.

Identifiants

pubmed: 34591100
pii: S0002-9165(22)00116-2
doi: 10.1093/ajcn/nqab318
doi:

Substances chimiques

Dietary Fats 0
Fatty Acids 0
Fatty Acids, Monounsaturated 0
Fatty Acids, Unsaturated 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

118-127

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.

Auteurs

Nicholas A Koemel (NA)

Charles Perkins Centre, The University of Sydney, Sydney, Australia.
Boden Collaboration for Obesity, Nutrition, Exercise, and Eating Disorders, The University of Sydney, Sydney, Australia.
Sydney Medical School, The University of Sydney, Sydney, Australia.

Alistair M Senior (AM)

Charles Perkins Centre, The University of Sydney, Sydney, Australia.
Sydney Medical School, The University of Sydney, Sydney, Australia.
School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia.

Hasthi U Dissanayake (HU)

Charles Perkins Centre, The University of Sydney, Sydney, Australia.
Boden Collaboration for Obesity, Nutrition, Exercise, and Eating Disorders, The University of Sydney, Sydney, Australia.
Sydney Medical School, The University of Sydney, Sydney, Australia.
Sleep Research Group, The University of Sydney, Sydney, Australia.

Jason Ross (J)

CSIRO Health and Biosecurity, Sydney, Australia.

Rowena L McMullan (RL)

Boden Collaboration for Obesity, Nutrition, Exercise, and Eating Disorders, The University of Sydney, Sydney, Australia.
Sydney Medical School, The University of Sydney, Sydney, Australia.

Yang Kong (Y)

Boden Collaboration for Obesity, Nutrition, Exercise, and Eating Disorders, The University of Sydney, Sydney, Australia.
Sydney Medical School, The University of Sydney, Sydney, Australia.

Melinda Phang (M)

Boden Collaboration for Obesity, Nutrition, Exercise, and Eating Disorders, The University of Sydney, Sydney, Australia.
Sydney Medical School, The University of Sydney, Sydney, Australia.

Jon Hyett (J)

Sydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.

David Raubenheimer (D)

Charles Perkins Centre, The University of Sydney, Sydney, Australia.
School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia.

Adrienne Gordon (A)

Charles Perkins Centre, The University of Sydney, Sydney, Australia.
Boden Collaboration for Obesity, Nutrition, Exercise, and Eating Disorders, The University of Sydney, Sydney, Australia.
Sydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.

Stephen J Simpson (SJ)

Charles Perkins Centre, The University of Sydney, Sydney, Australia.
School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia.

Michael R Skilton (MR)

Charles Perkins Centre, The University of Sydney, Sydney, Australia.
Boden Collaboration for Obesity, Nutrition, Exercise, and Eating Disorders, The University of Sydney, Sydney, Australia.
Sydney Medical School, The University of Sydney, Sydney, Australia.
Sydney Institute for Women, Children and their Families, Sydney Local Health District, Sydney, Australia.

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Classifications MeSH