Cargando…

Saliva Samples as A Tool to Study the Effect of Meal Timing on Metabolic And Inflammatory Biomarkers

Meal timing affects metabolic regulation in humans. Most studies use blood samples for their investigations. Saliva, although easily available and non-invasive, seems to be rarely used for chrononutritional studies. In this pilot study, we tested if saliva samples could be used to study the effect o...

Descripción completa

Detalles Bibliográficos
Autores principales: Kessler, Katharina, Hornemann, Silke, Rudovich, Natalia, Weber, Daniela, Grune, Tilman, Kramer, Achim, Pfeiffer, Andreas F. H., Pivovarova-Ramich, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071228/
https://www.ncbi.nlm.nih.gov/pubmed/32013045
http://dx.doi.org/10.3390/nu12020340
_version_ 1783506153452339200
author Kessler, Katharina
Hornemann, Silke
Rudovich, Natalia
Weber, Daniela
Grune, Tilman
Kramer, Achim
Pfeiffer, Andreas F. H.
Pivovarova-Ramich, Olga
author_facet Kessler, Katharina
Hornemann, Silke
Rudovich, Natalia
Weber, Daniela
Grune, Tilman
Kramer, Achim
Pfeiffer, Andreas F. H.
Pivovarova-Ramich, Olga
author_sort Kessler, Katharina
collection PubMed
description Meal timing affects metabolic regulation in humans. Most studies use blood samples for their investigations. Saliva, although easily available and non-invasive, seems to be rarely used for chrononutritional studies. In this pilot study, we tested if saliva samples could be used to study the effect of timing of carbohydrate and fat intake on metabolic rhythms. In this cross-over trial, 29 nonobese men were randomized to two isocaloric 4-week diets: (1) carbohydrate-rich meals until 13:30 and high-fat meals between 16:30 and 22:00 or (2) the inverse order of meals. Stimulated saliva samples were collected every 4 h for 24 h at the end of each intervention, and levels of hormones and inflammatory biomarkers were assessed in saliva and blood. Cortisol, melatonin, resistin, adiponectin, interleukin-6 and MCP-1 demonstrated distinct diurnal variations, mirroring daytime reports in blood and showing significant correlations with blood levels. The rhythm patterns were similar for both diets, indicating that timing of carbohydrate and fat intake has a minimal effect on metabolic and inflammatory biomarkers in saliva. Our study revealed that saliva is a promising tool for the non-invasive assessment of metabolic rhythms in chrononutritional studies, but standardisation of sample collection is needed in out-of-lab studies.
format Online
Article
Text
id pubmed-7071228
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-70712282020-03-19 Saliva Samples as A Tool to Study the Effect of Meal Timing on Metabolic And Inflammatory Biomarkers Kessler, Katharina Hornemann, Silke Rudovich, Natalia Weber, Daniela Grune, Tilman Kramer, Achim Pfeiffer, Andreas F. H. Pivovarova-Ramich, Olga Nutrients Article Meal timing affects metabolic regulation in humans. Most studies use blood samples for their investigations. Saliva, although easily available and non-invasive, seems to be rarely used for chrononutritional studies. In this pilot study, we tested if saliva samples could be used to study the effect of timing of carbohydrate and fat intake on metabolic rhythms. In this cross-over trial, 29 nonobese men were randomized to two isocaloric 4-week diets: (1) carbohydrate-rich meals until 13:30 and high-fat meals between 16:30 and 22:00 or (2) the inverse order of meals. Stimulated saliva samples were collected every 4 h for 24 h at the end of each intervention, and levels of hormones and inflammatory biomarkers were assessed in saliva and blood. Cortisol, melatonin, resistin, adiponectin, interleukin-6 and MCP-1 demonstrated distinct diurnal variations, mirroring daytime reports in blood and showing significant correlations with blood levels. The rhythm patterns were similar for both diets, indicating that timing of carbohydrate and fat intake has a minimal effect on metabolic and inflammatory biomarkers in saliva. Our study revealed that saliva is a promising tool for the non-invasive assessment of metabolic rhythms in chrononutritional studies, but standardisation of sample collection is needed in out-of-lab studies. MDPI 2020-01-28 /pmc/articles/PMC7071228/ /pubmed/32013045 http://dx.doi.org/10.3390/nu12020340 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kessler, Katharina
Hornemann, Silke
Rudovich, Natalia
Weber, Daniela
Grune, Tilman
Kramer, Achim
Pfeiffer, Andreas F. H.
Pivovarova-Ramich, Olga
Saliva Samples as A Tool to Study the Effect of Meal Timing on Metabolic And Inflammatory Biomarkers
title Saliva Samples as A Tool to Study the Effect of Meal Timing on Metabolic And Inflammatory Biomarkers
title_full Saliva Samples as A Tool to Study the Effect of Meal Timing on Metabolic And Inflammatory Biomarkers
title_fullStr Saliva Samples as A Tool to Study the Effect of Meal Timing on Metabolic And Inflammatory Biomarkers
title_full_unstemmed Saliva Samples as A Tool to Study the Effect of Meal Timing on Metabolic And Inflammatory Biomarkers
title_short Saliva Samples as A Tool to Study the Effect of Meal Timing on Metabolic And Inflammatory Biomarkers
title_sort saliva samples as a tool to study the effect of meal timing on metabolic and inflammatory biomarkers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071228/
https://www.ncbi.nlm.nih.gov/pubmed/32013045
http://dx.doi.org/10.3390/nu12020340
work_keys_str_mv AT kesslerkatharina salivasamplesasatooltostudytheeffectofmealtimingonmetabolicandinflammatorybiomarkers
AT hornemannsilke salivasamplesasatooltostudytheeffectofmealtimingonmetabolicandinflammatorybiomarkers
AT rudovichnatalia salivasamplesasatooltostudytheeffectofmealtimingonmetabolicandinflammatorybiomarkers
AT weberdaniela salivasamplesasatooltostudytheeffectofmealtimingonmetabolicandinflammatorybiomarkers
AT grunetilman salivasamplesasatooltostudytheeffectofmealtimingonmetabolicandinflammatorybiomarkers
AT kramerachim salivasamplesasatooltostudytheeffectofmealtimingonmetabolicandinflammatorybiomarkers
AT pfeifferandreasfh salivasamplesasatooltostudytheeffectofmealtimingonmetabolicandinflammatorybiomarkers
AT pivovarovaramicholga salivasamplesasatooltostudytheeffectofmealtimingonmetabolicandinflammatorybiomarkers