Early protein intake predicts functional connectivity and neurocognition in preterm born children

Abstract Nutritional intake can promote early neonatal brain development in very preterm born neonates (< 32 weeks’ gestation). In a group of 7-year-old very preterm born children followed since birth, we examined whether early nutrient intake in the first weeks of life would be associated with l...

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Autores principales: Emma G. Duerden, Benjamin Thompson, Tanya Poppe, Jane Alsweiler, Greg Gamble, Yannan Jiang, Myra Leung, Anna C. Tottman, Trecia Wouldes, Steven P. Miller, Jane E. Harding, PIANO study group
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/991f195e8af24d70b5a5ff53880462a6
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spelling oai:doaj.org-article:991f195e8af24d70b5a5ff53880462a62021-12-02T10:54:14ZEarly protein intake predicts functional connectivity and neurocognition in preterm born children10.1038/s41598-021-83125-z2045-2322https://doaj.org/article/991f195e8af24d70b5a5ff53880462a62021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83125-zhttps://doaj.org/toc/2045-2322Abstract Nutritional intake can promote early neonatal brain development in very preterm born neonates (< 32 weeks’ gestation). In a group of 7-year-old very preterm born children followed since birth, we examined whether early nutrient intake in the first weeks of life would be associated with long-term brain function and neurocognitive skills at school age. Children underwent resting-state functional MRI (fMRI), intelligence testing (Wechsler Intelligence Scale for Children, 5th Ed) and visual-motor processing (Beery-Buktenica, 5th Ed) at 7 years. Relationships were assessed between neonatal macronutrient intakes, functional connectivity strength between thalamic and default mode networks (DMN), and neuro-cognitive function using multivariable regression. Greater functional connectivity strength between thalamic networks and DMN was associated with greater intake of protein in the first week (β = 0.17; 95% CI 0.11, 0.23, p < 0.001) but lower intakes of fat (β = − 0.06; 95% CI − 0.09, − 0.02, p = 0.001) and carbohydrates (β = − 0.03; 95% CI − 0.04, − 0.01, p = 0.003). Connectivity strength was also associated with protein intake during the first month (β = 0.22; 95% CI 0.06, 0.37, p = 0.006). Importantly, greater thalamic-DMN connectivity strength was associated with higher processing speed indices (β = 26.9; 95% CI 4.21, 49.49, p = 0.02) and visual processing scores (β = 9.03; 95% CI 2.27, 15.79, p = 0.009). Optimizing early protein intake may contribute to promoting long-term brain health in preterm-born children.Emma G. DuerdenBenjamin ThompsonTanya PoppeJane AlsweilerGreg GambleYannan JiangMyra LeungAnna C. TottmanTrecia WouldesSteven P. MillerJane E. HardingPIANO study groupNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Emma G. Duerden
Benjamin Thompson
Tanya Poppe
Jane Alsweiler
Greg Gamble
Yannan Jiang
Myra Leung
Anna C. Tottman
Trecia Wouldes
Steven P. Miller
Jane E. Harding
PIANO study group
Early protein intake predicts functional connectivity and neurocognition in preterm born children
description Abstract Nutritional intake can promote early neonatal brain development in very preterm born neonates (< 32 weeks’ gestation). In a group of 7-year-old very preterm born children followed since birth, we examined whether early nutrient intake in the first weeks of life would be associated with long-term brain function and neurocognitive skills at school age. Children underwent resting-state functional MRI (fMRI), intelligence testing (Wechsler Intelligence Scale for Children, 5th Ed) and visual-motor processing (Beery-Buktenica, 5th Ed) at 7 years. Relationships were assessed between neonatal macronutrient intakes, functional connectivity strength between thalamic and default mode networks (DMN), and neuro-cognitive function using multivariable regression. Greater functional connectivity strength between thalamic networks and DMN was associated with greater intake of protein in the first week (β = 0.17; 95% CI 0.11, 0.23, p < 0.001) but lower intakes of fat (β = − 0.06; 95% CI − 0.09, − 0.02, p = 0.001) and carbohydrates (β = − 0.03; 95% CI − 0.04, − 0.01, p = 0.003). Connectivity strength was also associated with protein intake during the first month (β = 0.22; 95% CI 0.06, 0.37, p = 0.006). Importantly, greater thalamic-DMN connectivity strength was associated with higher processing speed indices (β = 26.9; 95% CI 4.21, 49.49, p = 0.02) and visual processing scores (β = 9.03; 95% CI 2.27, 15.79, p = 0.009). Optimizing early protein intake may contribute to promoting long-term brain health in preterm-born children.
format article
author Emma G. Duerden
Benjamin Thompson
Tanya Poppe
Jane Alsweiler
Greg Gamble
Yannan Jiang
Myra Leung
Anna C. Tottman
Trecia Wouldes
Steven P. Miller
Jane E. Harding
PIANO study group
author_facet Emma G. Duerden
Benjamin Thompson
Tanya Poppe
Jane Alsweiler
Greg Gamble
Yannan Jiang
Myra Leung
Anna C. Tottman
Trecia Wouldes
Steven P. Miller
Jane E. Harding
PIANO study group
author_sort Emma G. Duerden
title Early protein intake predicts functional connectivity and neurocognition in preterm born children
title_short Early protein intake predicts functional connectivity and neurocognition in preterm born children
title_full Early protein intake predicts functional connectivity and neurocognition in preterm born children
title_fullStr Early protein intake predicts functional connectivity and neurocognition in preterm born children
title_full_unstemmed Early protein intake predicts functional connectivity and neurocognition in preterm born children
title_sort early protein intake predicts functional connectivity and neurocognition in preterm born children
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/991f195e8af24d70b5a5ff53880462a6
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