Cargando…

Defining a Continuous Glucose Baseline to assess the impact of nutritional interventions

Accurate and robust estimation of individuals’ basal glucose level is a crucial measure in nutrition research but is typically estimated from one or more morning fasting samples. The use of Continuous Glucose Monitoring (CGM) devices presents an opportunity to define more robust basal glucose levels...

Descripción completa

Detalles Bibliográficos
Autores principales: Chkroun, Célina, Trouwborst, Inez, Cherta-Murillo, Anna, Owen, Lauren, Darimont, Christian, Rytz, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425768/
https://www.ncbi.nlm.nih.gov/pubmed/37588050
http://dx.doi.org/10.3389/fnut.2023.1203899
_version_ 1785089910763421696
author Chkroun, Célina
Trouwborst, Inez
Cherta-Murillo, Anna
Owen, Lauren
Darimont, Christian
Rytz, Andreas
author_facet Chkroun, Célina
Trouwborst, Inez
Cherta-Murillo, Anna
Owen, Lauren
Darimont, Christian
Rytz, Andreas
author_sort Chkroun, Célina
collection PubMed
description Accurate and robust estimation of individuals’ basal glucose level is a crucial measure in nutrition research but is typically estimated from one or more morning fasting samples. The use of Continuous Glucose Monitoring (CGM) devices presents an opportunity to define more robust basal glucose levels, which estimates can be generalized to any time of the day. However, to date, no standardized method has been delineated. The current paper seeks to define a reliable algorithm to characterize the individual’s basal glucose level over 24 h from CGM measurements. Data drawn from four nutritional intervention studies performed on adults free from chronic diseases were used to define that basal glucose levels were optimally estimated using the 40th percentile of the previous 24 h CGM data. This simple algorithm provides a Continuous Glucose Baseline over 24 h (24 h-CGB) that is an unbiased and highly correlated estimator (r = 0.86, p-value < 0.01) of standard fasting glucose. We conclude that 24-CGB can provide reliable basal glucose estimates across the day while being more robust to interference than standard fasting glucose, adaptable to evolving daily routines and providing useful reference values for free-living nutritional intervention research in non-diabetic individuals.
format Online
Article
Text
id pubmed-10425768
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-104257682023-08-16 Defining a Continuous Glucose Baseline to assess the impact of nutritional interventions Chkroun, Célina Trouwborst, Inez Cherta-Murillo, Anna Owen, Lauren Darimont, Christian Rytz, Andreas Front Nutr Nutrition Accurate and robust estimation of individuals’ basal glucose level is a crucial measure in nutrition research but is typically estimated from one or more morning fasting samples. The use of Continuous Glucose Monitoring (CGM) devices presents an opportunity to define more robust basal glucose levels, which estimates can be generalized to any time of the day. However, to date, no standardized method has been delineated. The current paper seeks to define a reliable algorithm to characterize the individual’s basal glucose level over 24 h from CGM measurements. Data drawn from four nutritional intervention studies performed on adults free from chronic diseases were used to define that basal glucose levels were optimally estimated using the 40th percentile of the previous 24 h CGM data. This simple algorithm provides a Continuous Glucose Baseline over 24 h (24 h-CGB) that is an unbiased and highly correlated estimator (r = 0.86, p-value < 0.01) of standard fasting glucose. We conclude that 24-CGB can provide reliable basal glucose estimates across the day while being more robust to interference than standard fasting glucose, adaptable to evolving daily routines and providing useful reference values for free-living nutritional intervention research in non-diabetic individuals. Frontiers Media S.A. 2023-07-31 /pmc/articles/PMC10425768/ /pubmed/37588050 http://dx.doi.org/10.3389/fnut.2023.1203899 Text en Copyright © 2023 Chkroun, Trouwborst, Cherta-Murillo, Owen, Darimont and Rytz. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Chkroun, Célina
Trouwborst, Inez
Cherta-Murillo, Anna
Owen, Lauren
Darimont, Christian
Rytz, Andreas
Defining a Continuous Glucose Baseline to assess the impact of nutritional interventions
title Defining a Continuous Glucose Baseline to assess the impact of nutritional interventions
title_full Defining a Continuous Glucose Baseline to assess the impact of nutritional interventions
title_fullStr Defining a Continuous Glucose Baseline to assess the impact of nutritional interventions
title_full_unstemmed Defining a Continuous Glucose Baseline to assess the impact of nutritional interventions
title_short Defining a Continuous Glucose Baseline to assess the impact of nutritional interventions
title_sort defining a continuous glucose baseline to assess the impact of nutritional interventions
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425768/
https://www.ncbi.nlm.nih.gov/pubmed/37588050
http://dx.doi.org/10.3389/fnut.2023.1203899
work_keys_str_mv AT chkrouncelina definingacontinuousglucosebaselinetoassesstheimpactofnutritionalinterventions
AT trouwborstinez definingacontinuousglucosebaselinetoassesstheimpactofnutritionalinterventions
AT chertamurilloanna definingacontinuousglucosebaselinetoassesstheimpactofnutritionalinterventions
AT owenlauren definingacontinuousglucosebaselinetoassesstheimpactofnutritionalinterventions
AT darimontchristian definingacontinuousglucosebaselinetoassesstheimpactofnutritionalinterventions
AT rytzandreas definingacontinuousglucosebaselinetoassesstheimpactofnutritionalinterventions