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Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes

INTRODUCTION: Disentangling the specific factors that regulate glycemia from prediabetes to normoglycemia could improve type 2 diabetes prevention strategies. Metabolomics provides substantial insights into the biological understanding of environmental factors such as diet. This study aimed to ident...

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Autores principales: Sevilla-Gonzalez, Magdalena del Rocio, Manning, Alisa K, Westerman, Kenneth E, Aguilar-Salinas, Carlos Alberto, Deik, Amy, Clish, Clary B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577902/
https://www.ncbi.nlm.nih.gov/pubmed/36253014
http://dx.doi.org/10.1136/bmjdrc-2022-003010
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author Sevilla-Gonzalez, Magdalena del Rocio
Manning, Alisa K
Westerman, Kenneth E
Aguilar-Salinas, Carlos Alberto
Deik, Amy
Clish, Clary B
author_facet Sevilla-Gonzalez, Magdalena del Rocio
Manning, Alisa K
Westerman, Kenneth E
Aguilar-Salinas, Carlos Alberto
Deik, Amy
Clish, Clary B
author_sort Sevilla-Gonzalez, Magdalena del Rocio
collection PubMed
description INTRODUCTION: Disentangling the specific factors that regulate glycemia from prediabetes to normoglycemia could improve type 2 diabetes prevention strategies. Metabolomics provides substantial insights into the biological understanding of environmental factors such as diet. This study aimed to identify metabolomic markers of regression to normoglycemia in the context of a lifestyle intervention (LSI) in individuals with prediabetes. RESEARCH DESIGN AND METHODS: We conducted a single-arm intervention study with 24 weeks of follow-up. Eligible study participants had at least one prediabetes criteria according to the American Diabetes Association guidelines, and body mass index between 25 and 45 kg/m(2). LSI refers to a hypocaloric diet and >150 min of physical activity per week. Regression to normoglycemia (RNGR) was defined as achieving hemoglobin A1c (HbA1c) <5.5% in the final visit. Baseline and postintervention plasma metabolomic profiles were measured using liquid chromatography-tandem mass spectrometry. To select metabolites associated with RNGR, we conducted the least absolute shrinkage and selection operator-penalized regressions. RESULTS: The final sample was composed of 82 study participants. Changes in three metabolites were significantly associated with regression to normoglycemia; N-acetyl-D-galactosamine (OR=0.54; 95% CI 0.32 to 0.82), putrescine (OR=0.90, 95% CI 0.81 to 0.98), and 7-methylguanine (OR=1.06; 95% CI 1.02 to 1.17), independent of HbA1c and weight loss. In addition, metabolomic perturbations due to LSI displayed enrichment of taurine and hypotaurine metabolism pathway (p=0.03) compatible with biomarkers of protein consumption, lower red meat and animal fats and higher seafood and vegetables. CONCLUSIONS: Evidence from this study suggests that specific metabolomic markers have an influence on glucose regulation in individuals with prediabetes after 24 weeks of LSI independently of other treatment effects such as weight loss.
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spelling pubmed-95779022022-10-19 Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes Sevilla-Gonzalez, Magdalena del Rocio Manning, Alisa K Westerman, Kenneth E Aguilar-Salinas, Carlos Alberto Deik, Amy Clish, Clary B BMJ Open Diabetes Res Care Genetics/Genomes/Proteomics/Metabolomics INTRODUCTION: Disentangling the specific factors that regulate glycemia from prediabetes to normoglycemia could improve type 2 diabetes prevention strategies. Metabolomics provides substantial insights into the biological understanding of environmental factors such as diet. This study aimed to identify metabolomic markers of regression to normoglycemia in the context of a lifestyle intervention (LSI) in individuals with prediabetes. RESEARCH DESIGN AND METHODS: We conducted a single-arm intervention study with 24 weeks of follow-up. Eligible study participants had at least one prediabetes criteria according to the American Diabetes Association guidelines, and body mass index between 25 and 45 kg/m(2). LSI refers to a hypocaloric diet and >150 min of physical activity per week. Regression to normoglycemia (RNGR) was defined as achieving hemoglobin A1c (HbA1c) <5.5% in the final visit. Baseline and postintervention plasma metabolomic profiles were measured using liquid chromatography-tandem mass spectrometry. To select metabolites associated with RNGR, we conducted the least absolute shrinkage and selection operator-penalized regressions. RESULTS: The final sample was composed of 82 study participants. Changes in three metabolites were significantly associated with regression to normoglycemia; N-acetyl-D-galactosamine (OR=0.54; 95% CI 0.32 to 0.82), putrescine (OR=0.90, 95% CI 0.81 to 0.98), and 7-methylguanine (OR=1.06; 95% CI 1.02 to 1.17), independent of HbA1c and weight loss. In addition, metabolomic perturbations due to LSI displayed enrichment of taurine and hypotaurine metabolism pathway (p=0.03) compatible with biomarkers of protein consumption, lower red meat and animal fats and higher seafood and vegetables. CONCLUSIONS: Evidence from this study suggests that specific metabolomic markers have an influence on glucose regulation in individuals with prediabetes after 24 weeks of LSI independently of other treatment effects such as weight loss. BMJ Publishing Group 2022-10-17 /pmc/articles/PMC9577902/ /pubmed/36253014 http://dx.doi.org/10.1136/bmjdrc-2022-003010 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Genetics/Genomes/Proteomics/Metabolomics
Sevilla-Gonzalez, Magdalena del Rocio
Manning, Alisa K
Westerman, Kenneth E
Aguilar-Salinas, Carlos Alberto
Deik, Amy
Clish, Clary B
Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes
title Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes
title_full Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes
title_fullStr Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes
title_full_unstemmed Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes
title_short Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes
title_sort metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes
topic Genetics/Genomes/Proteomics/Metabolomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577902/
https://www.ncbi.nlm.nih.gov/pubmed/36253014
http://dx.doi.org/10.1136/bmjdrc-2022-003010
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