Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach
Open accessAbstract
Metabolomic discovery of biomarkers of type 2 diabetes (T2D) risk may reveal etiological pathways and help to identify individuals at risk for disease. We prospectively investigated the association between serum metabolites measured by targeted metabolomics and risk of T2D in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam (27,548 adults) among all incident cases of T2D (n = 800, mean follow-up 7 years) and a randomly drawn subcohort (n = 2,282). Flow injection analysis tandem mass spectrometry was used to quantify 163 metabolites, including acylcarnitines, amino acids, hexose, and phospholipids, in baseline serum samples. Serum hexose; phenylalanine; and diacyl-phosphatidylcholines C32:1, C36:1, C38:3, and C40:5 were independently associated with increased risk of T2D and serum glycine; sphingomyelin C16:1; acyl-alkyl-phosphatidylcholines C34:3, C40:6, C42:5, C44:4, and C44:5; and lysophosphatidylcholine C18:2 with decreased risk. Variance of the metabolites was largely explained by two metabolite factors with opposing risk associations (factor 1 relative risk in extreme quintiles 0.31 [95% CI 0.21-0.44], factor 2 3.82 [2.64-5.52]). The metabolites significantly improved T2D prediction compared with established risk factors. They were further linked to insulin sensitivity and secretion in the Tübingen Family study and were partly replicated in the independent KORA (Cooperative Health Research in the Region of Augsburg) cohort. The data indicate that metabolic alterations, including sugar metabolites, amino acids, and choline-containing phospholipids, are associated early on with a higher risk of T2D.
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In EPIC-Potsdam, metabolomic data were used to identify lipid metabolites and amino acids as biomarkers of diabetes risk.
“In EPIC-Potsdam, metabolomic data were used to identify lipid metabolites and amino acids as biomarkers of diabetes risk (12).”
From Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes (2015) · cites this paper as [12]
An independent inverse association of glycine with diabetes risk was previously described by us and others.
“described by us and others (12,41).”
From Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes (2015) · cites this paper as [12]
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Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649 · see citing works
A Simple Sequentially Rejective Multiple Test Procedure
(1979) · Scandinavian Journal of Statistics · doi:10.2307/4615733 · Cited by 21,526 · see citing works
Matsuda, M., & DeFronzo, R. A. (1999) · Diabetes Care · doi:10.2337/diacare.22.9.1462 · Cited by 5,621 · see citing works
Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165 · see citing works
Metabolite profiles and the risk of developing diabetes
Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., Lewis, G. D., Fox, C. S., Jacques, P. F., Fernandez, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2307 · Cited by 3,143 · see citing works
DeFronzo, R. A. (2009) · Diabetes · doi:10.2337/db09-9028 · Cited by 3,016 · see citing works
Koves, T. R., Ussher, J. R., Noland, R. C., Slentz, D., Mosedale, M., Ilkayeva, O., Bain, J., Stevens, R., Dyck, J. R. B., Newgard, C. B., et al. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.013 · Cited by 1,990 · see citing works
Identification and characterization of metabolically benign obesity in humans
Stefan, N. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.15.1609 · Cited by 1,049 · see citing works
Self-citationAdiponectin Levels and Risk of Type 2 Diabetes: A Systematic Review and Meta-analysis
Li, S., Shin, H. J., Ding, E. L., & van Dam, R. M. (2009) · JAMA · doi:10.1001/jama.2009.976 · Cited by 991 · see citing works
Rothman, K. J., Greenland, S., & Lash, T. L. (2008) · Encyclopedia of Quantitative Risk Analysis and Assessment · doi:10.1002/9780470061596.risk0599 · Cited by 706 · see citing works
Rhee, E. P., Cheng, S., Larson, M. G., Walford, G. A., Lewis, G. D., McCabe, E., Yang, E., Farrell, L., Fox, C. S., O’Donnell, C. J., et al. (2011) · Journal of Clinical Investigation · doi:10.1172/jci44442 · Cited by 647 · see citing works
Adams, S. H., Hoppel, C. L., Lok, K. H., Zhao, L., Wong, S. W., Minkler, P. E., Hwang, D. H., Newman, J. W., & Garvey, W. T. (2009) · The Journal of Nutrition · doi:10.3945/jn.108.103754 · Cited by 598 · see citing works
Metabolic Footprint of Diabetes: A Multiplatform Metabolomics Study in an Epidemiological Setting
Suhre, K., Meisinger, C., Döring, A., Altmaier, E., Belcredi, P., Gieger, C., Chang, D., Milburn, M. V., Gall, W. E., Weinberger, K. M., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013953 · Cited by 557 · see citing works
Self-citationShe, P., Horn, C. V., Reid, T., Hutson, S. M., Cooney, R. N., & Lynch, C. J. (2007) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00134.2007 · Cited by 504 · see citing works
Differences between Human Plasma and Serum Metabolite Profiles
Yu, Z., Kastenmüller, G., He, Y., Belcredi, P., Möller, G., Prehn, C. P., Mendes, J., Wahl, S., Roemisch‐Margl, W., Ceglarek, U., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021230 · Cited by 496 · see citing works
Self-citationTremblay, F., Brûlé, S., Hee Um, S., Li, Y., Masuda, K., Roden, M., Sun, X. J., Krebs, M., Polakiewicz, R. D., Thomas, G., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706517104 · Cited by 465 · see citing works
Self-citationQuehenberger, O., & Dennis, E. A. (2011) · New England Journal of Medicine · doi:10.1056/nejmra1104901 · Cited by 462 · see citing works
Phosphatidylcholine biosynthesis and lipoprotein metabolism
Cole, L., Vance, J. E., & Vance, D. E. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2011.09.009 · Cited by 439 · see citing works
Fiehn, O., Garvey, W. T., Newman, J. W. I., Lok, K. H., Hoppel, C. L., & Adams, S. H. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015234 · Cited by 418 · see citing works
Pietiläinen, K. H., Sysi‐Aho, M., Rissanen, A., Seppänen‐Laakso, T., Yki‐Järvinen, H., Kaprio, J. A., & Orešič, M. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000218 · Cited by 415 · see citing works
Sekhar, R. V., McKay, S. V., Patel, S. G., Guthikonda, A. P., Reddy, V. T., Balasubramanyam, A., & Jahoor, F. (2010) · Diabetes Care · doi:10.2337/dc10-1006 · Cited by 402 · see citing works
Plasma fetuin-A levels and the risk of type 2 diabetes
Stefan, N., Fritsche, A., Weikert, C., Boeing, H., Joost, H.-G., Häring, H.-U., & Schulze, M. B. (2008) · Diabetes · doi:10.2337/db08-0538 · Cited by 379 · see citing works
Self-citationSample-Size Calculations for the Cox Proportional Hazards Regression Model with Nonbinary Covariates
Hsieh, F. Y., & Lavori, P. W. (2000) · Controlled Clinical Trials · doi:10.1016/s0197-2456(00)00104-5 · Cited by 374 · see citing works
Schulze, M. B., Hoffmann, K., Boeing, H., Linseisen, J., Rohrmann, S., Möhlig, M., Pfeiffer, A. F. H., Spranger, J., Thamer, C., Häring, H., et al. (2007) · Diabetes Care · doi:10.2337/dc06-2089 · Cited by 374 · see citing works
Self-citationLipid-Induced Mitochondrial Stress and Insulin Action in Muscle
Muoio, D. M., & Neufer, P. D. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.04.010 · Cited by 343 · see citing works
Metabolomics Applied to Diabetes Research
Bain, J. R., Stevens, R. D., Wenner, B. R., Ilkayeva, O., Muoio, D. M., & Newgard, C. B. (2009) · Diabetes · doi:10.2337/db09-0580 · Cited by 330 · see citing works
Plasmalogens the neglected regulatory and scavenging lipid species
Wallner, S., & Schmitz, G. (2011) · Chemistry and Physics of Lipids · doi:10.1016/j.chemphyslip.2011.06.008 · Cited by 324 · see citing works
Plasma Fetuin-A Levels and the Risk of Myocardial Infarction and Ischemic Stroke
Weikert, C., Stefan, N., Schulze, M. B., Pischon, T., Berger, K., Joost, H., Häring, H., Boeing, H., & Fritsche, A. (2008) · Circulation · doi:10.1161/circulationaha.108.814418 · Cited by 310 · see citing works
Self-citationRecruitment Procedures of EPIC-Germany
Boeing, H., Korfmann, A., & Bergmann, M. M. (1999) · Annals of Nutrition and Metabolism · doi:10.1159/000012787 · Cited by 303 · see citing works
Self-citationA Clinical Approach for the Diagnosis of Diabetes Mellitus
Peters, A. L. (1996) · JAMA · doi:10.1001/jama.1996.03540150048030 · Cited by 302 · see citing works
Self-citationRömisch‐Margl, W., Prehn, C. P., Bogumil, R., Röhring, C., Suhre, K., & Adamski, J. (2011) · Metabolomics · doi:10.1007/s11306-011-0293-4 · Cited by 292 · see citing works
Self-citationPeters, A. L. (1996) · JAMA · doi:10.1001/jama.276.15.1246 · Cited by 291 · see citing works
Self-citationKröger, J., Zietemann, V., Enzenbach, C., Weikert, C., Jansen, E. H., Döring, F., Joost, H.-G., Boeing, H., & Schulze, M. B. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.005447 · Cited by 270 · see citing works
Self-citationMontonen, J., Järvinen, R., Knekt, P., Heliövaara, M., & Reunanen, A. (2007) · Journal of Nutrition · doi:10.1093/jn/137.6.1447 · Cited by 260 · see citing works
EPIC-Germany – A Source for Studies into Diet and Risk of Chronic Diseases
Boeing, H., Wahrendorf, J., & Becker, N. (1999) · Annals of Nutrition and Metabolism · doi:10.1159/000012786 · Cited by 256 · see citing works
Self-citationSchienkiewitz, A., Schulze, M. B., Hoffmann, K., Kroke, A., & Boeing, H. (2006) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.1.427 · Cited by 234 · see citing works
Self-citationMuscle Amino Acid Metabolism and Gluconeogenesis
Ruderman, N. B. (1975) · Annual Review of Medicine · doi:10.1146/annurev.me.26.020175.001333 · Cited by 211 · see citing works
Raubenheimer, P. J., Nyirenda, M., & Walker, B. R. (2006) · Diabetes · doi:10.2337/db06-0097 · Cited by 199 · see citing works
Jacobs, R. L., Devlin, C. M., Tabas, I. A., & Vance, D. E. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m404027200 · Cited by 195 · see citing works
Schienkiewitz, A., Schulze, M. B., Hoffmann, K., Kroke, A., & Boeing, H. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.2.427 · Cited by 187 · see citing works
Rathmann, W., Straßburger, K., Heier, M., Holle, R., Thorand, B., Giani, G., & Meisinger, C. (2009) · Diabetic Medicine · doi:10.1111/j.1464-5491.2009.02863.x · Cited by 181 · see citing works
Magnússon, C. D., & Haraldsson, G. G. (2011) · Chemistry and Physics of Lipids · doi:10.1016/j.chemphyslip.2011.04.010 · Cited by 146 · see citing works
The inborn errors of mitochondrial fatty acid oxidation
Vianey‐Saban, C., Divry, P., Gregersen, N. V., & Mathieu, M. (1987) · Journal of Inherited Metabolic Disease · doi:10.1007/bf01812855 · Cited by 145 · see citing works
Follow-Up Procedures in EPIC-Germany – Data Quality Aspects
Bergmann, M. M., Bussas, U., & Boeing, H. (1999) · Annals of Nutrition and Metabolism · doi:10.1159/000012789 · Cited by 141 · see citing works
Self-citationFloegel, A., Drogan, D., Wang-Sattler, R., Prehn, C., Illig, T., Adamski, J., Joost, H.-G., Boeing, H., & Pischon, T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021103 · Cited by 135 · see citing works
Wopereis, S., Rubingh, C. M., van Erk, M. J., Verheij, E. R., van Vliet, T., Cnubben, N. H. P., Smilde, A. K., van der Greef, J., van Ommen, B., & Hendriks, H. F. J. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004525 · Cited by 123 · see citing works
Meisinger, C., Straßburger, K., Heier, M., Thorand, B., Baumeister, S., Giani, G., & Rathmann, W. (2009) · Diabetic Medicine · doi:10.1111/j.1464-5491.2009.02905.x · Cited by 94 · see citing works
Herder, C., Baumert, J. J., Zierer, A., Roden, M., Meisinger, C., Karakas, M., Chambless, L. E., Rathmann, W., Peters, A., Köenig, W., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019852 · Cited by 92 · see citing works
Self-citationLiver Enzymes and Incident Diabetes
Ford, E. S., Schulze, M. B., Bergmann, M. M., Thamer, C., Joost, H., & Boeing, H. (2008) · Diabetes Care · doi:10.2337/dc07-2159 · Cited by 90 · see citing works
Self-citationMeasures of Quality Control in the German Component of the EPIC Study
Kroke, A., Bergmann, M. M., Lotze, G., Jeckel, A., Klipstein‐Grobusch, K., & Boeing, H. (1999) · Annals of Nutrition and Metabolism · doi:10.1159/000012788 · Cited by 76 · see citing works
Self-citationMontonen, J., Drogan, D., Joost, H., Boeing, H., Fritsche, A., Schleicher, E. D., Schulze, M. B., & Pischon, T. (2010) · European Journal of Epidemiology · doi:10.1007/s10654-010-9539-0 · Cited by 51 · see citing works
Self-citationMetabolic Profiling of Diabetes: From Black-Box Epidemiology to Systems Epidemiology
Hu, F. B. (2011) · Clinical Chemistry · doi:10.1373/clinchem.2011.167056 · Cited by 47 · see citing works
Kowall, B., Rathmann, W., Straßburger, K., Meisinger, C., Holle, R., & Mielck, A. (2010) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2009.094086 · Cited by 29 · see citing works
Design issues in cohort studies
Prentice, R. (1995) · Statistical Methods in Medical Research · doi:10.1177/096228029500400402 · Cited by 26 · see citing works
Clinical Implications of Adiponectin and Inflammatory Biomarkers in Type 2 Diabetes Mellitus
Swellam, M. M., Mahmoud, M. S., & Ali, A. A.-F. (2009) · Disease Markers · doi:10.1155/2009/703927 · Cited by 23 · see citing works
Clinical implications of adiponectin and inflammatory biomarkers in type 2 diabetes mellitus.
Swellam, M. M., Mahmoud, M. S., & Ali, A. A.-F. (2009) · PubMed · doi:10.3233/dma-2009-0672 · Cited by 17 · see citing works
Evidence-based decision-making: the case for diabetes care
Abu‐Qamar, M. Z., & Wilson, A. (2007) · International Journal of Evidence-Based Healthcare · doi:10.1111/j.1479-6988.2007.00066.x · Cited by 5 · see citing works
Detecting and describing heterogeneity in meta-analysis
Hardy, R. J., & Thompson, S. G. (1998) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19980430)17:8
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Kahn, S. E., Cooper, M. E., & Del Prato, S. (2014) · The Lancet · doi:10.1016/s0140-6736(13)62154-6 · Cited by 1,743 · see citing works
Major microbiota dysbiosis in severe obesity: fate after bariatric surgery
Aron-Wisnewsky, J., Prifti, E., Belda, E., Ichou, F., Kayser, B. D., Dao, M. C., Verger, E. O., Hedjazi, L., Bouillot, J.-L., Chevallier, J.-M., et al. (2019) · Gut · doi:10.1136/gutjnl-2018-316103 · Cited by 418 · see citing works
Lotta, L. A., Scott, R. A., Sharp, S. J., Burgess, S., Luan, J., Tillin, T., Schmidt, A. F., Imamura, F., Stewart, I. D., Perry, J. R. B., et al. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1002179 · Cited by 417 · see citing works
Schmidt, J. A., Rinaldi, S., Scalbert, A., Ferrari, P., Achaintre, D., Gunter, M. J., Appleby, P. N., Key, T. J., & Travis, R. C. (2016) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2015.144 · Cited by 349 · see citing works
“…serum concentrations of glycine to be associated with a decreased risk and phenylalanine to be associated with an increased risk of the disease (34), while a second study reported a higher risk of diabetes in individuals with higher plasma concentrations of isoleucine, leucine, valine,…”
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Arneth, B., Arneth, R., & Shams, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20102467 · Cited by 262 · see citing works
Siskos, A. P., Jain, P., Römisch-Margl, W., Bennett, M., Achaintre, D., Asad, Y., Marney, L., Richardson, L., Koulman, A., Griffin, J. L., et al. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.6b02930 · Cited by 269 · see citing works
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Cheung, W., Keski-Rahkonen, P., Assi, N., Ferrari, P., Freisling, H., Rinaldi, S., Slimani, N., Zamora-Ros, R., Rundle, M., Frost, G., et al. (2017) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.146639 · Cited by 206 · see citing works
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Yasuda, M., Tanaka, Y., Kume, S., Morita, Y., Chin-Kanasaki, M., Araki, H., Isshiki, K., Araki, S.-I., Koya, D., Haneda, M., et al. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2014.04.001 · Cited by 123 · see citing works
Wittenbecher, C., Mühlenbruch, K., Kröger, J., Jacobs, S., Kuxhaus, O., Floegel, A., Fritsche, A., Pischon, T., Prehn, C., Adamski, J., et al. (2015) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.099150 · Cited by 120 · see citing works
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Liu, J., Wang, L., Qian, Y., Shen, Q., Yang, M., Dong, Y., Chen, H., Yang, Z., Liu, Y., Cui, X., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac487 · Cited by 12 · see citing works
- Authors
- Floegel, A., Stefan, N., Yu, Z., Mühlenbruch, K., Drogan, D., Joost, H.-G., Fritsche, A., Häring, H.-U., Hrabě de Angelis, M., Peters, A., Roden, M., Prehn, C., Wang-Sattler, R., Illig, T., Schulze, M. B., Adamski, J., Boeing, H., & Pischon, T.
- Affiliations
- German Institute of Human Nutrition (DE)
- University of Tübingen (DE)
- Helmholtz Munich (DE)
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Düsseldorf University Hospital (DE)
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Max Delbrück Center (DE)
- Corresponding author
- Floegel, Anna
- ORCID
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2013-01-17
- Volume
- 62
- Issue
- 2
- Pages
- 639-648
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- PMC
- PMC3554384
- OpenAlex
- W2158958532
- Cited by
- 988
- References
- 59
- Citations by year
- 2026: 34 · 2025: 55 · 2024: 68 · 2023: 72 · 2022: 88 · 2021: 95 · 2020: 94 · 2019: 78 · 2018: 87 · 2017: 82 · 2016: 84 · 2015: 65 · 2014: 53 · 2013: 31 · 2012: 2
- FWCI
- 19.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
- Site cant be reached (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- type 2 diabetes, serum metabolites, targeted metabolomics, hexoses, phenylalanine, glycine, lysophosphatidylcholine, sphingomyelin, choline phospholipids, insulin sensitivity, insulin secretion, EPIC-Potsdam cohort, KORA cohort
- MeSH terms
- Insulin Secretion, Adult, Diabetes Mellitus, Type 2, Female, Glycine, Hexoses, Humans, Insulin, Insulin Resistance, Male, Middle Aged, Phenylalanine, Phosphatidylcholines, Risk, Sphingomyelins, Biomarkers, Serum, Metabolomics
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