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Effects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice

Dietary macronutrient composition influences both hepatic function and aging. Previous work suggested that longevity and hepatic gene expression levels were highly responsive to dietary protein, but almost unaffected by other macronutrients. In contrast, we found expression of 4005, 4232, and 4292 g...

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Autores principales: Wu, Yingga, Green, Cara L., Wang, Guanlin, Yang, Dengbao, Li, Li, Li, Baoguo, Wang, Lu, Li, Min, Li, Jianbo, Xu, Yanchao, Zhang, Xueying, Niu, Chaoqun, Hu, Sumei, Togo, Jacques, Mazidi, Mohsen, Derous, Davina, Douglas, Alex, Speakman, John R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009132/
https://www.ncbi.nlm.nih.gov/pubmed/35266264
http://dx.doi.org/10.1111/acel.13585
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author Wu, Yingga
Green, Cara L.
Wang, Guanlin
Yang, Dengbao
Li, Li
Li, Baoguo
Wang, Lu
Li, Min
Li, Jianbo
Xu, Yanchao
Zhang, Xueying
Niu, Chaoqun
Hu, Sumei
Togo, Jacques
Mazidi, Mohsen
Derous, Davina
Douglas, Alex
Speakman, John R.
author_facet Wu, Yingga
Green, Cara L.
Wang, Guanlin
Yang, Dengbao
Li, Li
Li, Baoguo
Wang, Lu
Li, Min
Li, Jianbo
Xu, Yanchao
Zhang, Xueying
Niu, Chaoqun
Hu, Sumei
Togo, Jacques
Mazidi, Mohsen
Derous, Davina
Douglas, Alex
Speakman, John R.
author_sort Wu, Yingga
collection PubMed
description Dietary macronutrient composition influences both hepatic function and aging. Previous work suggested that longevity and hepatic gene expression levels were highly responsive to dietary protein, but almost unaffected by other macronutrients. In contrast, we found expression of 4005, 4232, and 4292 genes in the livers of mice were significantly associated with changes in dietary protein (5%–30%), fat (20%–60%), and carbohydrate (10%–75%), respectively. More genes in aging‐related pathways (notably mTOR, IGF‐1, and NF‐kappaB) had significant correlations with dietary fat intake than protein and carbohydrate intake, and the pattern of gene expression changes in relation to dietary fat intake was in the opposite direction to the effect of graded levels of caloric restriction consistent with dietary fat having a negative impact on aging. We found 732, 808, and 995 serum metabolites were significantly correlated with dietary protein (5%–30%), fat (8.3%–80%), and carbohydrate (10%–80%) contents, respectively. Metabolomics pathway analysis revealed sphingosine‐1‐phosphate signaling was the significantly affected pathway by dietary fat content which has also been identified as significant changed metabolic pathway in the previous caloric restriction study. Our results suggest dietary fat has major impact on aging‐related gene and metabolic pathways compared with other macronutrients.
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spelling pubmed-90091322022-04-15 Effects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice Wu, Yingga Green, Cara L. Wang, Guanlin Yang, Dengbao Li, Li Li, Baoguo Wang, Lu Li, Min Li, Jianbo Xu, Yanchao Zhang, Xueying Niu, Chaoqun Hu, Sumei Togo, Jacques Mazidi, Mohsen Derous, Davina Douglas, Alex Speakman, John R. Aging Cell Research Articles Dietary macronutrient composition influences both hepatic function and aging. Previous work suggested that longevity and hepatic gene expression levels were highly responsive to dietary protein, but almost unaffected by other macronutrients. In contrast, we found expression of 4005, 4232, and 4292 genes in the livers of mice were significantly associated with changes in dietary protein (5%–30%), fat (20%–60%), and carbohydrate (10%–75%), respectively. More genes in aging‐related pathways (notably mTOR, IGF‐1, and NF‐kappaB) had significant correlations with dietary fat intake than protein and carbohydrate intake, and the pattern of gene expression changes in relation to dietary fat intake was in the opposite direction to the effect of graded levels of caloric restriction consistent with dietary fat having a negative impact on aging. We found 732, 808, and 995 serum metabolites were significantly correlated with dietary protein (5%–30%), fat (8.3%–80%), and carbohydrate (10%–80%) contents, respectively. Metabolomics pathway analysis revealed sphingosine‐1‐phosphate signaling was the significantly affected pathway by dietary fat content which has also been identified as significant changed metabolic pathway in the previous caloric restriction study. Our results suggest dietary fat has major impact on aging‐related gene and metabolic pathways compared with other macronutrients. John Wiley and Sons Inc. 2022-03-10 2022-04 /pmc/articles/PMC9009132/ /pubmed/35266264 http://dx.doi.org/10.1111/acel.13585 Text en © 2022 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Wu, Yingga
Green, Cara L.
Wang, Guanlin
Yang, Dengbao
Li, Li
Li, Baoguo
Wang, Lu
Li, Min
Li, Jianbo
Xu, Yanchao
Zhang, Xueying
Niu, Chaoqun
Hu, Sumei
Togo, Jacques
Mazidi, Mohsen
Derous, Davina
Douglas, Alex
Speakman, John R.
Effects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice
title Effects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice
title_full Effects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice
title_fullStr Effects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice
title_full_unstemmed Effects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice
title_short Effects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice
title_sort effects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009132/
https://www.ncbi.nlm.nih.gov/pubmed/35266264
http://dx.doi.org/10.1111/acel.13585
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