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Characterization of diet-dependent temporal changes in circulating short-chain fatty acid concentrations: A randomized crossover dietary trial

BACKGROUND: Production of SCFAs from food is a complex and dynamic saccharolytic fermentation process mediated by both human and gut microbial factors. Knowledge of SCFA production and of the relation between SCFA profiles and dietary patterns is lacking. OBJECTIVES: Temporal changes in SCFA concent...

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Autores principales: Brignardello, Jerusa, Fountana, Sofia, Posma, Joram Matthias, Chambers, Edward S, Nicholson, Jeremy K, Wist, Julien, Frost, Gary, Garcia-Perez, Isabel, Holmes, Elaine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630877/
https://www.ncbi.nlm.nih.gov/pubmed/36137188
http://dx.doi.org/10.1093/ajcn/nqab211
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author Brignardello, Jerusa
Fountana, Sofia
Posma, Joram Matthias
Chambers, Edward S
Nicholson, Jeremy K
Wist, Julien
Frost, Gary
Garcia-Perez, Isabel
Holmes, Elaine
author_facet Brignardello, Jerusa
Fountana, Sofia
Posma, Joram Matthias
Chambers, Edward S
Nicholson, Jeremy K
Wist, Julien
Frost, Gary
Garcia-Perez, Isabel
Holmes, Elaine
author_sort Brignardello, Jerusa
collection PubMed
description BACKGROUND: Production of SCFAs from food is a complex and dynamic saccharolytic fermentation process mediated by both human and gut microbial factors. Knowledge of SCFA production and of the relation between SCFA profiles and dietary patterns is lacking. OBJECTIVES: Temporal changes in SCFA concentrations in response to 2 contrasting diets were investigated using a novel GC-MS method. METHODS: Samples were obtained from a randomized, controlled, crossover trial designed to characterize the metabolic response to 4 diets. Participants (n = 19) undertook these diets during an inpatient stay (of 72 h). Serum samples were collected 2 h after breakfast (AB), after lunch (AL), and after dinner (AD) on day 3, and a fasting sample (FA) was obtained on day 4. The 24-h urine samples were collected on day 3. In this substudy, samples from the 2 extreme diets representing a diet with high adherence to WHO healthy eating recommendations and a typical Western diet were analyzed using a bespoke GC-MS method developed to detect and quantify 10 SCFAs and precursors in serum and urine samples. RESULTS: Considerable interindividual variation in serum SCFA concentrations was observed across all time points, and temporal fluctuations were observed for both diets. Although the sample collection timing exerted a greater magnitude of effect on circulating SCFA concentrations, the unhealthy diet was associated with a lower concentration of acetic acid (FA: coefficient: –17.0; SE: 5.8; P-trend = 0.00615), 2-methylbutyric acid (AL: coefficient: –0.1; SE: 0.028; P-trend = 4.13 × 10(–4) and AD: coefficient: –0.1; SE: 0.028; P-trend = 2.28 × 10(–3)), and 2-hydroxybutyric acid (FA: coefficient: –15.8; SE: 5.11; P-trend: 4.09 × 10(–3)). In contrast, lactic acid was significantly higher in the unhealthy diet (AL: coefficient: 750.2; SE: 315.2; P-trend = 0.024 and AD: coefficient: 1219.3; SE: 322.6; P-trend: 8.28 × 10(–4)). CONCLUSIONS: The GC-MS method allowed robust mapping of diurnal patterns in SCFA concentrations, which were affected by diet, and highlighted the importance of standardizing the timing of SCFA measurements in dietary studies. This trial was registered on the NIHR UK clinical trial gateway and with ISRCTN as ISRCTN43087333.
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spelling pubmed-96308772022-11-04 Characterization of diet-dependent temporal changes in circulating short-chain fatty acid concentrations: A randomized crossover dietary trial Brignardello, Jerusa Fountana, Sofia Posma, Joram Matthias Chambers, Edward S Nicholson, Jeremy K Wist, Julien Frost, Gary Garcia-Perez, Isabel Holmes, Elaine Am J Clin Nutr Original Research Communications BACKGROUND: Production of SCFAs from food is a complex and dynamic saccharolytic fermentation process mediated by both human and gut microbial factors. Knowledge of SCFA production and of the relation between SCFA profiles and dietary patterns is lacking. OBJECTIVES: Temporal changes in SCFA concentrations in response to 2 contrasting diets were investigated using a novel GC-MS method. METHODS: Samples were obtained from a randomized, controlled, crossover trial designed to characterize the metabolic response to 4 diets. Participants (n = 19) undertook these diets during an inpatient stay (of 72 h). Serum samples were collected 2 h after breakfast (AB), after lunch (AL), and after dinner (AD) on day 3, and a fasting sample (FA) was obtained on day 4. The 24-h urine samples were collected on day 3. In this substudy, samples from the 2 extreme diets representing a diet with high adherence to WHO healthy eating recommendations and a typical Western diet were analyzed using a bespoke GC-MS method developed to detect and quantify 10 SCFAs and precursors in serum and urine samples. RESULTS: Considerable interindividual variation in serum SCFA concentrations was observed across all time points, and temporal fluctuations were observed for both diets. Although the sample collection timing exerted a greater magnitude of effect on circulating SCFA concentrations, the unhealthy diet was associated with a lower concentration of acetic acid (FA: coefficient: –17.0; SE: 5.8; P-trend = 0.00615), 2-methylbutyric acid (AL: coefficient: –0.1; SE: 0.028; P-trend = 4.13 × 10(–4) and AD: coefficient: –0.1; SE: 0.028; P-trend = 2.28 × 10(–3)), and 2-hydroxybutyric acid (FA: coefficient: –15.8; SE: 5.11; P-trend: 4.09 × 10(–3)). In contrast, lactic acid was significantly higher in the unhealthy diet (AL: coefficient: 750.2; SE: 315.2; P-trend = 0.024 and AD: coefficient: 1219.3; SE: 322.6; P-trend: 8.28 × 10(–4)). CONCLUSIONS: The GC-MS method allowed robust mapping of diurnal patterns in SCFA concentrations, which were affected by diet, and highlighted the importance of standardizing the timing of SCFA measurements in dietary studies. This trial was registered on the NIHR UK clinical trial gateway and with ISRCTN as ISRCTN43087333. Oxford University Press 2022-09-22 /pmc/articles/PMC9630877/ /pubmed/36137188 http://dx.doi.org/10.1093/ajcn/nqab211 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Research Communications
Brignardello, Jerusa
Fountana, Sofia
Posma, Joram Matthias
Chambers, Edward S
Nicholson, Jeremy K
Wist, Julien
Frost, Gary
Garcia-Perez, Isabel
Holmes, Elaine
Characterization of diet-dependent temporal changes in circulating short-chain fatty acid concentrations: A randomized crossover dietary trial
title Characterization of diet-dependent temporal changes in circulating short-chain fatty acid concentrations: A randomized crossover dietary trial
title_full Characterization of diet-dependent temporal changes in circulating short-chain fatty acid concentrations: A randomized crossover dietary trial
title_fullStr Characterization of diet-dependent temporal changes in circulating short-chain fatty acid concentrations: A randomized crossover dietary trial
title_full_unstemmed Characterization of diet-dependent temporal changes in circulating short-chain fatty acid concentrations: A randomized crossover dietary trial
title_short Characterization of diet-dependent temporal changes in circulating short-chain fatty acid concentrations: A randomized crossover dietary trial
title_sort characterization of diet-dependent temporal changes in circulating short-chain fatty acid concentrations: a randomized crossover dietary trial
topic Original Research Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630877/
https://www.ncbi.nlm.nih.gov/pubmed/36137188
http://dx.doi.org/10.1093/ajcn/nqab211
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