Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting.
BACKGROUND: Metabolomics is the rapidly evolving field of the comprehensive measurement of ideally all endogenous metabolites in a biological fluid. However, no single analytic technique covers the entire spectrum of the human metabolome. Here we present results from a multiplatform study, in which...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2010-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2978704?pdf=render |
| _version_ | 1818276322664775680 |
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| author | Karsten Suhre Christa Meisinger Angela Döring Elisabeth Altmaier Petra Belcredi Christian Gieger David Chang Michael V Milburn Walter E Gall Klaus M Weinberger Hans-Werner Mewes Martin Hrabé de Angelis H-Erich Wichmann Florian Kronenberg Jerzy Adamski Thomas Illig |
| author_facet | Karsten Suhre Christa Meisinger Angela Döring Elisabeth Altmaier Petra Belcredi Christian Gieger David Chang Michael V Milburn Walter E Gall Klaus M Weinberger Hans-Werner Mewes Martin Hrabé de Angelis H-Erich Wichmann Florian Kronenberg Jerzy Adamski Thomas Illig |
| author_sort | Karsten Suhre |
| collection | DOAJ |
| description | BACKGROUND: Metabolomics is the rapidly evolving field of the comprehensive measurement of ideally all endogenous metabolites in a biological fluid. However, no single analytic technique covers the entire spectrum of the human metabolome. Here we present results from a multiplatform study, in which we investigate what kind of results can presently be obtained in the field of diabetes research when combining metabolomics data collected on a complementary set of analytical platforms in the framework of an epidemiological study. METHODOLOGY/PRINCIPAL FINDINGS: 40 individuals with self-reported diabetes and 60 controls (male, over 54 years) were randomly selected from the participants of the population-based KORA (Cooperative Health Research in the Region of Augsburg) study, representing an extensively phenotyped sample of the general German population. Concentrations of over 420 unique small molecules were determined in overnight-fasting blood using three different techniques, covering nuclear magnetic resonance and tandem mass spectrometry. Known biomarkers of diabetes could be replicated by this multiple metabolomic platform approach, including sugar metabolites (1,5-anhydroglucoitol), ketone bodies (3-hydroxybutyrate), and branched chain amino acids. In some cases, diabetes-related medication can be detected (pioglitazone, salicylic acid). CONCLUSIONS/SIGNIFICANCE: Our study depicts the promising potential of metabolomics in diabetes research by identification of a series of known and also novel, deregulated metabolites that associate with diabetes. Key observations include perturbations of metabolic pathways linked to kidney dysfunction (3-indoxyl sulfate), lipid metabolism (glycerophospholipids, free fatty acids), and interaction with the gut microflora (bile acids). Our study suggests that metabolic markers hold the potential to detect diabetes-related complications already under sub-clinical conditions in the general population. |
| first_indexed | 2024-12-12T22:43:49Z |
| format | Article |
| id | doaj.art-bcb5d252a31940179a90efd756bcbc38 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-12T22:43:49Z |
| publishDate | 2010-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-bcb5d252a31940179a90efd756bcbc382022-12-22T00:09:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032010-01-01511e1395310.1371/journal.pone.0013953Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting.Karsten SuhreChrista MeisingerAngela DöringElisabeth AltmaierPetra BelcrediChristian GiegerDavid ChangMichael V MilburnWalter E GallKlaus M WeinbergerHans-Werner MewesMartin Hrabé de AngelisH-Erich WichmannFlorian KronenbergJerzy AdamskiThomas IlligBACKGROUND: Metabolomics is the rapidly evolving field of the comprehensive measurement of ideally all endogenous metabolites in a biological fluid. However, no single analytic technique covers the entire spectrum of the human metabolome. Here we present results from a multiplatform study, in which we investigate what kind of results can presently be obtained in the field of diabetes research when combining metabolomics data collected on a complementary set of analytical platforms in the framework of an epidemiological study. METHODOLOGY/PRINCIPAL FINDINGS: 40 individuals with self-reported diabetes and 60 controls (male, over 54 years) were randomly selected from the participants of the population-based KORA (Cooperative Health Research in the Region of Augsburg) study, representing an extensively phenotyped sample of the general German population. Concentrations of over 420 unique small molecules were determined in overnight-fasting blood using three different techniques, covering nuclear magnetic resonance and tandem mass spectrometry. Known biomarkers of diabetes could be replicated by this multiple metabolomic platform approach, including sugar metabolites (1,5-anhydroglucoitol), ketone bodies (3-hydroxybutyrate), and branched chain amino acids. In some cases, diabetes-related medication can be detected (pioglitazone, salicylic acid). CONCLUSIONS/SIGNIFICANCE: Our study depicts the promising potential of metabolomics in diabetes research by identification of a series of known and also novel, deregulated metabolites that associate with diabetes. Key observations include perturbations of metabolic pathways linked to kidney dysfunction (3-indoxyl sulfate), lipid metabolism (glycerophospholipids, free fatty acids), and interaction with the gut microflora (bile acids). Our study suggests that metabolic markers hold the potential to detect diabetes-related complications already under sub-clinical conditions in the general population.http://europepmc.org/articles/PMC2978704?pdf=render |
| spellingShingle | Karsten Suhre Christa Meisinger Angela Döring Elisabeth Altmaier Petra Belcredi Christian Gieger David Chang Michael V Milburn Walter E Gall Klaus M Weinberger Hans-Werner Mewes Martin Hrabé de Angelis H-Erich Wichmann Florian Kronenberg Jerzy Adamski Thomas Illig Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. PLoS ONE |
| title | Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. |
| title_full | Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. |
| title_fullStr | Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. |
| title_full_unstemmed | Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. |
| title_short | Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. |
| title_sort | metabolic footprint of diabetes a multiplatform metabolomics study in an epidemiological setting |
| url | http://europepmc.org/articles/PMC2978704?pdf=render |
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