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 TO 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.

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. - In: THE AMERICAN JOURNAL OF CLINICAL NUTRITION. - ISSN 1938-3207. - 114:3(2021), pp. 1028-1038. [10.1093/ajcn/nqab132]

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

Segata, Nicola;
2021-01-01

Abstract

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 TO 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.
2021
3
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 / 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. - In: THE AMERICAN JOURNAL OF CLINICAL NUTRITION. - ISSN 1938-3207. - 114:3(2021), pp. 1028-1038. [10.1093/ajcn/nqab132]
File in questo prodotto:
File Dimensione Formato  
nqab132.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 3.21 MB
Formato Adobe PDF
3.21 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/355067
Citazioni
  • ???jsp.display-item.citation.pmc??? 8
  • Scopus 39
  • ???jsp.display-item.citation.isi??? 37
social impact