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Meal-induced inflammation: postprandial insights from the Personalised REsponses to DIetary Composition Trial (PREDICT) study in 1000 participants

BACKGROUND: Meal-induced metabolic changes trigger an acute inflammatory response, contributing to chronic inflammation and associated diseases. OBJECTIVES: We aimed to characterize variability in postprandial inflammatory responses using traditional (IL-6) and novel [glycoprotein acetylation (GlycA...

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Autores principales: Mazidi, Mohsen, Valdes, Ana M, Ordovas, Jose M, Hall, Wendy L, Pujol, Joan C, Wolf, Jonathan, Hadjigeorgiou, George, Segata, Nicola, Sattar, Naveed, Koivula, Robert, Spector, Tim D, Franks, Paul W, Berry, Sarah E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408875/
https://www.ncbi.nlm.nih.gov/pubmed/34100082
http://dx.doi.org/10.1093/ajcn/nqab132
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author Mazidi, Mohsen
Valdes, Ana M
Ordovas, Jose M
Hall, Wendy L
Pujol, Joan C
Wolf, Jonathan
Hadjigeorgiou, George
Segata, Nicola
Sattar, Naveed
Koivula, Robert
Spector, Tim D
Franks, Paul W
Berry, Sarah E
author_facet Mazidi, Mohsen
Valdes, Ana M
Ordovas, Jose M
Hall, Wendy L
Pujol, Joan C
Wolf, Jonathan
Hadjigeorgiou, George
Segata, Nicola
Sattar, Naveed
Koivula, Robert
Spector, Tim D
Franks, Paul W
Berry, Sarah E
author_sort Mazidi, Mohsen
collection PubMed
description BACKGROUND: Meal-induced metabolic changes trigger an acute inflammatory response, contributing to chronic inflammation and associated diseases. OBJECTIVES: We aimed to characterize variability in postprandial inflammatory responses using traditional (IL-6) and novel [glycoprotein acetylation (GlycA)] biomarkers of inflammation and dissect their biological determinants with a focus on postprandial glycemia and lipemia. METHODS: Postprandial (0–6 h) glucose, triglyceride (TG), IL-6, and GlycA responses were measured at multiple intervals after sequential mixed-nutrient meals (0 h and 4 h) in 1002 healthy adults aged 18–65 y from the PREDICT (Personalised REsponses to DIetary Composition Trial) 1 study, a single-arm dietary intervention study. Measures of habitual diet, blood biochemistry, gut microbiome composition, and visceral fat mass (VFM) were also collected. RESULTS: The postprandial changes in GlycA and IL-6 concentrations were highly variable between individuals. Participants eliciting an increase in GlycA and IL-6 (60% and 94% of the total participants, respectively) had mean 6-h increases of 11% and 190%, respectively. Peak postprandial TG and glucose concentrations were significantly associated with 6-h GlycA (r = 0.83 and r = 0.24, respectively; both P < 0.001) but not with 6-h IL-6 (both P > 0.26). A random forest model revealed the maximum TG concentration was the strongest postprandial TG predictor of postprandial GlycA and structural equation modeling revealed that VFM and fasting TG were most strongly associated with fasting and postprandial GlycA. Network Mendelian randomization demonstrated a causal link between VFM and fasting GlycA, mediated (28%) by fasting TG. Individuals eliciting enhanced GlycA responses had higher predicted cardiovascular disease risk (using the atherosclerotic disease risk score) than the rest of the cohort. CONCLUSIONS: The variable postprandial increases in GlycA and their associations with TG metabolism highlight the importance of modulating TG in concert with obesity to reduce GlycA and associated low-grade inflammation–related diseases. This trial was registered at clinicaltrials.gov as NCT03479866.
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spelling pubmed-84088752021-09-02 Meal-induced inflammation: postprandial insights from the Personalised REsponses to DIetary Composition Trial (PREDICT) study in 1000 participants Mazidi, Mohsen Valdes, Ana M Ordovas, Jose M Hall, Wendy L Pujol, Joan C Wolf, Jonathan Hadjigeorgiou, George Segata, Nicola Sattar, Naveed Koivula, Robert Spector, Tim D Franks, Paul W Berry, Sarah E Am J Clin Nutr Original Research Communications BACKGROUND: Meal-induced metabolic changes trigger an acute inflammatory response, contributing to chronic inflammation and associated diseases. OBJECTIVES: We aimed to characterize variability in postprandial inflammatory responses using traditional (IL-6) and novel [glycoprotein acetylation (GlycA)] biomarkers of inflammation and dissect their biological determinants with a focus on postprandial glycemia and lipemia. METHODS: Postprandial (0–6 h) glucose, triglyceride (TG), IL-6, and GlycA responses were measured at multiple intervals after sequential mixed-nutrient meals (0 h and 4 h) in 1002 healthy adults aged 18–65 y from the PREDICT (Personalised REsponses to DIetary Composition Trial) 1 study, a single-arm dietary intervention study. Measures of habitual diet, blood biochemistry, gut microbiome composition, and visceral fat mass (VFM) were also collected. RESULTS: The postprandial changes in GlycA and IL-6 concentrations were highly variable between individuals. Participants eliciting an increase in GlycA and IL-6 (60% and 94% of the total participants, respectively) had mean 6-h increases of 11% and 190%, respectively. Peak postprandial TG and glucose concentrations were significantly associated with 6-h GlycA (r = 0.83 and r = 0.24, respectively; both P < 0.001) but not with 6-h IL-6 (both P > 0.26). A random forest model revealed the maximum TG concentration was the strongest postprandial TG predictor of postprandial GlycA and structural equation modeling revealed that VFM and fasting TG were most strongly associated with fasting and postprandial GlycA. Network Mendelian randomization demonstrated a causal link between VFM and fasting GlycA, mediated (28%) by fasting TG. Individuals eliciting enhanced GlycA responses had higher predicted cardiovascular disease risk (using the atherosclerotic disease risk score) than the rest of the cohort. CONCLUSIONS: The variable postprandial increases in GlycA and their associations with TG metabolism highlight the importance of modulating TG in concert with obesity to reduce GlycA and associated low-grade inflammation–related diseases. This trial was registered at clinicaltrials.gov as NCT03479866. Oxford University Press 2021-06-08 /pmc/articles/PMC8408875/ /pubmed/34100082 http://dx.doi.org/10.1093/ajcn/nqab132 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Communications
Mazidi, Mohsen
Valdes, Ana M
Ordovas, Jose M
Hall, Wendy L
Pujol, Joan C
Wolf, Jonathan
Hadjigeorgiou, George
Segata, Nicola
Sattar, Naveed
Koivula, Robert
Spector, Tim D
Franks, Paul W
Berry, Sarah E
Meal-induced inflammation: postprandial insights from the Personalised REsponses to DIetary Composition Trial (PREDICT) study in 1000 participants
title Meal-induced inflammation: postprandial insights from the Personalised REsponses to DIetary Composition Trial (PREDICT) study in 1000 participants
title_full Meal-induced inflammation: postprandial insights from the Personalised REsponses to DIetary Composition Trial (PREDICT) study in 1000 participants
title_fullStr Meal-induced inflammation: postprandial insights from the Personalised REsponses to DIetary Composition Trial (PREDICT) study in 1000 participants
title_full_unstemmed Meal-induced inflammation: postprandial insights from the Personalised REsponses to DIetary Composition Trial (PREDICT) study in 1000 participants
title_short Meal-induced inflammation: postprandial insights from the Personalised REsponses to DIetary Composition Trial (PREDICT) study in 1000 participants
title_sort meal-induced inflammation: postprandial insights from the personalised responses to dietary composition trial (predict) study in 1000 participants
topic Original Research Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408875/
https://www.ncbi.nlm.nih.gov/pubmed/34100082
http://dx.doi.org/10.1093/ajcn/nqab132
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