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Metabolomics analyses in non-diabetic middle-aged individuals reveal metabolites impacting early glucose disturbances and insulin sensitivity
INTRODUCTION: Several plasma metabolites have been associated with insulin resistance and type 2 diabetes mellitus. OBJECTIVES: We aimed to identify plasma metabolites associated with different indices of early disturbances in glucose metabolism and insulin sensitivity. METHODS: This cross-sectional...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051926/ https://www.ncbi.nlm.nih.gov/pubmed/32124065 http://dx.doi.org/10.1007/s11306-020-01653-7 |
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author | Bos, Maxime M. Noordam, Raymond Bennett, Kate Beekman, Marian Mook-Kanamori, Dennis O. Willems van Dijk, Ko Slagboom, P. Eline Lundstedt, Torbjörn Surowiec, Izabella van Heemst, Diana |
author_facet | Bos, Maxime M. Noordam, Raymond Bennett, Kate Beekman, Marian Mook-Kanamori, Dennis O. Willems van Dijk, Ko Slagboom, P. Eline Lundstedt, Torbjörn Surowiec, Izabella van Heemst, Diana |
author_sort | Bos, Maxime M. |
collection | PubMed |
description | INTRODUCTION: Several plasma metabolites have been associated with insulin resistance and type 2 diabetes mellitus. OBJECTIVES: We aimed to identify plasma metabolites associated with different indices of early disturbances in glucose metabolism and insulin sensitivity. METHODS: This cross-sectional study was conducted in a subsample of the Leiden Longevity Study comprising individuals without a history of diabetes mellitus (n = 233) with a mean age of 63.3 ± 6.7 years of which 48.1% were men. We tested for associations of fasting glucose, fasting insulin, HOMA-IR, Matsuda Index, Insulinogenic Index and glycated hemoglobin with metabolites (Swedish Metabolomics Platform) using linear regression analysis adjusted for age, sex and BMI. Results were validated internally using an independent metabolomics platform (Biocrates platform) and replicated externally in the independent Netherlands Epidemiology of Obesity (NEO) study (Metabolon platform) (n = 545, mean age of 55.8 ± 6.0 years of which 48.6% were men). Moreover, in the NEO study, we replicated our analyses in individuals with diabetes mellitus (cases: n = 36; controls = 561). RESULTS: Out of the 34 metabolites, a total of 12 plasma metabolites were associated with different indices of disturbances in glucose metabolism and insulin sensitivity in individuals without diabetes mellitus. These findings were validated using a different metabolomics platform as well as in an independent cohort of non-diabetics. Moreover, tyrosine, alanine, valine, tryptophan and alpha-ketoglutaric acid levels were higher in individuals with diabetes mellitus. CONCLUSION: We found several plasma metabolites that are associated with early disturbances in glucose metabolism and insulin sensitivity of which five were also higher in individuals with diabetes mellitus. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-020-01653-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7051926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-70519262020-03-16 Metabolomics analyses in non-diabetic middle-aged individuals reveal metabolites impacting early glucose disturbances and insulin sensitivity Bos, Maxime M. Noordam, Raymond Bennett, Kate Beekman, Marian Mook-Kanamori, Dennis O. Willems van Dijk, Ko Slagboom, P. Eline Lundstedt, Torbjörn Surowiec, Izabella van Heemst, Diana Metabolomics Original Article INTRODUCTION: Several plasma metabolites have been associated with insulin resistance and type 2 diabetes mellitus. OBJECTIVES: We aimed to identify plasma metabolites associated with different indices of early disturbances in glucose metabolism and insulin sensitivity. METHODS: This cross-sectional study was conducted in a subsample of the Leiden Longevity Study comprising individuals without a history of diabetes mellitus (n = 233) with a mean age of 63.3 ± 6.7 years of which 48.1% were men. We tested for associations of fasting glucose, fasting insulin, HOMA-IR, Matsuda Index, Insulinogenic Index and glycated hemoglobin with metabolites (Swedish Metabolomics Platform) using linear regression analysis adjusted for age, sex and BMI. Results were validated internally using an independent metabolomics platform (Biocrates platform) and replicated externally in the independent Netherlands Epidemiology of Obesity (NEO) study (Metabolon platform) (n = 545, mean age of 55.8 ± 6.0 years of which 48.6% were men). Moreover, in the NEO study, we replicated our analyses in individuals with diabetes mellitus (cases: n = 36; controls = 561). RESULTS: Out of the 34 metabolites, a total of 12 plasma metabolites were associated with different indices of disturbances in glucose metabolism and insulin sensitivity in individuals without diabetes mellitus. These findings were validated using a different metabolomics platform as well as in an independent cohort of non-diabetics. Moreover, tyrosine, alanine, valine, tryptophan and alpha-ketoglutaric acid levels were higher in individuals with diabetes mellitus. CONCLUSION: We found several plasma metabolites that are associated with early disturbances in glucose metabolism and insulin sensitivity of which five were also higher in individuals with diabetes mellitus. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-020-01653-7) contains supplementary material, which is available to authorized users. Springer US 2020-03-02 2020 /pmc/articles/PMC7051926/ /pubmed/32124065 http://dx.doi.org/10.1007/s11306-020-01653-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Bos, Maxime M. Noordam, Raymond Bennett, Kate Beekman, Marian Mook-Kanamori, Dennis O. Willems van Dijk, Ko Slagboom, P. Eline Lundstedt, Torbjörn Surowiec, Izabella van Heemst, Diana Metabolomics analyses in non-diabetic middle-aged individuals reveal metabolites impacting early glucose disturbances and insulin sensitivity |
title | Metabolomics analyses in non-diabetic middle-aged individuals reveal metabolites impacting early glucose disturbances and insulin sensitivity |
title_full | Metabolomics analyses in non-diabetic middle-aged individuals reveal metabolites impacting early glucose disturbances and insulin sensitivity |
title_fullStr | Metabolomics analyses in non-diabetic middle-aged individuals reveal metabolites impacting early glucose disturbances and insulin sensitivity |
title_full_unstemmed | Metabolomics analyses in non-diabetic middle-aged individuals reveal metabolites impacting early glucose disturbances and insulin sensitivity |
title_short | Metabolomics analyses in non-diabetic middle-aged individuals reveal metabolites impacting early glucose disturbances and insulin sensitivity |
title_sort | metabolomics analyses in non-diabetic middle-aged individuals reveal metabolites impacting early glucose disturbances and insulin sensitivity |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051926/ https://www.ncbi.nlm.nih.gov/pubmed/32124065 http://dx.doi.org/10.1007/s11306-020-01653-7 |
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