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Human serum metabolic profiles are age dependent
Open accessAbstract
Summary: Understanding the complexity of aging is of utmost importance. This can now be addressed by the novel and powerful approach of metabolomics. However, to date, only a few metabolic studies based on large samples are available. Here, we provide novel and specific information on age‐related metabolite concentration changes in human homeostasis. We report results from two population‐based studies: the KORA F4 study from Germany as a discovery cohort, with 1038 female and 1124 male participants (32–81 years), and the TwinsUK study as replication, with 724 female participants. Targeted metabolomics of fasting serum samples quantified 131 metabolites by FIA‐MS/MS. Among these, 71/34 metabolites were significantly associated with age in women/men (BMI adjusted). We further identified a set of 13 independent metabolites in women (with P values ranging from 4.6 × 10−04 to 7.8 × 10−42, α corr = 0.004). Eleven of these 13 metabolites were replicated in the TwinsUK study, including seven metabolite concentrations that increased with age (C0, C10:1, C12:1, C18:1, SM C16:1, SM C18:1, and PC aa C28:1), while histidine decreased. These results indicate that metabolic profiles are age dependent and might reflect different aging processes, such as incomplete mitochondrial fatty acid oxidation. The use of metabolomics will increase our understanding of aging networks and may lead to discoveries that help enhance healthy aging.
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“State-of-the-art mass spectrometry and NMR methods can identify hundreds to thousands of metabolites in human plasma, and multiple studies have attempted to understand how they interact with ageing113–116.”
From Measuring biological age using omics data (2022) · cites this paper as [114]
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Cites
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
Cleveland, W. S., & Devlin, S. J. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478639 · Cited by 5,893
Franceschi, C., Capri, M., Monti, D., Giunta, S., Olivieri, F., Sevini, F., Panourgia, M. P., Invidia, L., Celani, L., Scurti, M., et al. (2007) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2006.11.016 · Cited by 2,087
Psychogios, N., Hau, D., Peng, J., Guo, A. C., Mandal, R., Bouatra, S., Sinelnikov, I. V., Krishnamurthy, R., Eisner, R., Gautam, B., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016957 · Cited by 1,779
KORA - A Research Platform for Population Based Health Research
Holle, R., Happich, M., Löwel, H., & Wichmann, H. ‐. (2005) · Das Gesundheitswesen · doi:10.1055/s-2005-858235 · Cited by 753
Self-citationDifferences 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 523
Self-citationAnalysis of the Adult Human Plasma Metabolome
Lawton, K. A., Berger, A., Mitchell, M., Milgram, K. E., Evans, A. M., Guo, L., Hanson, R. W., Kalhan, S. C., Ryals, J. A., & Milburn, M. V. (2008) · Pharmacogenomics · doi:10.2217/14622416.9.4.383 · Cited by 490
Metabolism, Cell Surface Organization, and Disease
Dennis, J. W., Nabi, I. R., & Demetriou, M. (2009) · Cell · doi:10.1016/j.cell.2009.12.008 · Cited by 450
Andrew, T., Hart, D. J., Snieder, H., de Lange, M., Spector, T. D., & MacGregor, A. J. (2001) · Twin Research · doi:10.1375/1369052012803 · Cited by 440
Self-citationKORA-gen - Resource for Population Genetics, Controls and a Broad Spectrum of Disease Phenotypes
Wichmann, H. ‐., Gieger, C., & Illig, T. (2005) · Das Gesundheitswesen · doi:10.1055/s-2005-858226 · Cited by 417
Self-citationOutlier identification in high dimensions
Peter Filzmoser, A., Maronna, R. A., & Werner, M. (2007) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2007.05.018 · Cited by 401
Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers
Mittelstraß, K., Ried, J. S., Yu, Z., Krumsiek, J., Gieger, C., Prehn, C. P., Roemisch‐Margl, W., Polonikov, A., Peters, A., Theis, F. J., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002215 · Cited by 385
Self-citationNoland, R. C., Koves, T. R., Seiler, S. E., Lum, H., Lust, R. M., Ilkayeva, O., Stevens, R. D., Hegardt, F. G., & Muoio, D. M. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.032888 · Cited by 317
Römisch‐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
Self-citationAndrew, T., Hart, D. J., Snieder, H., de Lange, M., Spector, T. D., & MacGregor, A. J. (2001) · Twin Research · doi:10.1375/twin.4.6.464 · Cited by 289
Self-citationDeelen, J., Beekman, M., Uh, H., Helmer, Q., Kuningas, M., Christiansen, L., Kremer, D., van der Breggen, R., Suchiman, H. E. D., Lakenberg, N., et al. (2011) · Aging Cell · doi:10.1111/j.1474-9726.2011.00705.x · Cited by 285
Ferrucci, L., Giallauria, F., & Guralnik, J. M. (2008) · Radiologic Clinics of North America · doi:10.1016/j.rcl.2008.07.005 · Cited by 259
Muscle Carnosine Metabolism and β-Alanine Supplementation in Relation to Exercise and Training
Derave, W., Everaert, I., Beeckman, S., & Baguet, A. (2010) · Sports Medicine · doi:10.2165/11530310-000000000-00000 · Cited by 245
Cohort Profile: TwinsUK and Healthy Ageing Twin Study
Moayyeri, A., Hammond, C. J., Valdes, A. M., & Spector, T. D. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dyr207 · Cited by 242
Self-citationThe UK Adult Twin Registry (TwinsUK)
Spector, T. D., & Williams, F. M. K. (2006) · Twin Research and Human Genetics · doi:10.1375/twin.9.6.899 · Cited by 237
Self-citationPiper, M. D. W., & Bartke, A. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.06.012 · Cited by 225
RAGE: A Potential Target for Aβ-Mediated Cellular Perturbation in Alzheimers Disease
Yan, S. F., Chen, X., Walker, D. G., Schmidt, A. M., Arancio, O., & Lue, L. (2007) · Current Molecular Medicine · doi:10.2174/156652407783220741 · Cited by 207
Lipid metabolism in the elderly
Toth, M., & Tchernof, A. (2000) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601033 · Cited by 187
Zhai, G., Wang‐Sattler, R., Hart, D. J., Arden, N., Hakim, A. J., Illig, T., & Spector, T. D. (2010) · Annals of the Rheumatic Diseases · doi:10.1136/ard.2009.120857 · Cited by 185
Self-citationSchizophrenia shows a unique metabolomics signature in plasma
He, Y., Yu, Z., Giegling, I., Xie, L., Hartmann, A. M., Prehn, C. P., Adamski, J., Kahn, R. S., Li, Y., Illig, T., et al. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.76 · Cited by 172
Self-citationJiang, H., Schiffer, E., Song, Z., Wang, J., Zürbig, P., Thedieck, K., Moes, S., Bantel, H., Saal, N., Jantos, J., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801457105 · Cited by 169
Aging of the human ovary and testis
Perheentupa, A. H., & Huhtaniemi, I. T. (2008) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2008.11.004 · Cited by 168
Metabolomics, a novel tool for studies of nutrition, metabolism and lipid dysfunction
Orešič, M. (2009) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2009.04.018 · Cited by 165
New model of health promotion and disease prevention for the 21st century
Butler, R. N., Miller, R. A., Perry, D. P., Carnes, B. A., Williams, T. F., Cassel, C. K., Brody, J. A., Bernard, M., Partridge, L., Kirkwood, T. B. L., et al. (2008) · BMJ · doi:10.1136/bmj.a399 · Cited by 164
Potential biomarkers of ageing
Simm, A., Naß, N., Bartling, B., Hofmann, B., Silber, R., & Santos, A. N. (2008) · Biological Chemistry · doi:10.1515/bc.2008.034 · Cited by 153
Metabonomic Investigations of Aging and Caloric Restriction in a Life-Long Dog Study
Wang, Y., Lawler, D. F., Larson, B. T., Ramadan, Z., Kochhar, S., Holmes, E. C., & Nicholson, J. K. (2007) · Journal of Proteome Research · doi:10.1021/pr060685n · Cited by 145
Plasma membrane signaling induced by ionizing radiation
Corre, I., Niaudet, C., & Paris, F. (2010) · Mutation Research/Reviews in Mutation Research · doi:10.1016/j.mrrev.2010.01.014 · Cited by 145
Karasik, D., Demissie, S., Cupples, L. A., & Kiel, D. P. (2005) · The Journals of Gerontology Series A · doi:10.1093/gerona/60.5.574 · Cited by 141
Familial longevity is marked by enhanced insulin sensitivity
Wijsman, C. A., Rozing, M. P., Streefland, T. C. M., le Cessie, S., Mooijaart, S. P., Slagboom, P. E., Westendorp, R. G. J., Pijl, H., van Heemst, D., & On behalf of the Leiden Longevity Study group (2010) · Aging Cell · doi:10.1111/j.1474-9726.2010.00650.x · Cited by 120
Williams, R. E., Lenz, E. M., Lowden, J. S., Rantalainen, M., & Wilson, I. D. (2005) · Molecular BioSystems · doi:10.1039/b500852b · Cited by 115
Ramasamy, R., Yan, S., D’Agati, V. D., & Schmidt, A. (2007) · Current Molecular Medicine · doi:10.2174/156652407783220732 · Cited by 78
Gene expression profiles associated with aging and mortality in humans
Kerber, R. A., O’Brien, E., & Cawthon, R. (2009) · Aging Cell · doi:10.1111/j.1474-9726.2009.00467.x · Cited by 74
Gender‐dependent progression of systemic metabolic states in early childhood
Nikkilä, J., Sysi‐Aho, M., Ermolov, A., Seppänen‐Laakso, T., Simell, O., Samuel Kaski, A., & Orešič, M. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.34 · Cited by 63
Hipkiss, A. R. (2010) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2010.00010 · Cited by 58
Clement, A. B., Gamerdinger, M., Tamboli, I. Y., Lütjohann, D., Walter, J., Greeve, I., Gimpl, G., & Behl, C. (2009) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2009.06360.x · Cited by 55
Covalent Cross-Linking of Glutathione and Carnosine to Proteins by 4-Oxo-2-nonenal
Zhu, X., Gallogly, M. M., Mieyal, J. J., Anderson, V. E., & Sayre, L. M. (2009) · Chemical Research in Toxicology · doi:10.1021/tx9000144 · Cited by 50
Ichi, I., Kamikawa, C., Nakagawa, T., Kobayashi, K., Kataoka, R., Nagata, E., Kitamura, Y., Nakazaki, C., Matsura, T., & Kojo, S. (2009) · Toxicology · doi:10.1016/j.tox.2009.04.040 · Cited by 49
Cellular phospholipid uptake: Flexible paths to coregulate the functions of intracellular lipids
Engelmann, B., & Wiedmann, M. K. H. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2010.02.013 · Cited by 42
Szibor, M., & Holtz, J. (2003) · Basic Research in Cardiology · doi:10.1007/s00395-003-0421-z · Cited by 36
Metabolic Profiling of Accelerated Aging ERCC1d/−Mice
Nevedomskaya, E., Meissner, A., Göraler, S., de Waard, M., Ridwan, Y. R., Zondag, G. C. M., van der Pluijm, I., Deelder, A. M., & Mayboroda, O. A. (2010) · Journal of Proteome Research · doi:10.1021/pr100210k · Cited by 32
Feltes, B. C., Poloni, J. D. F., & Bonatto, D. (2011) · Biogerontology · doi:10.1007/s10522-011-9325-8 · Cited by 30
Partridge, L., Thornton, J. M., & Bates, G. P. (2010) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2010.0298 · Cited by 29
Naru, E., Takanezawa, Y., Kobayashi, M., Misaki, Y., Kaji, K., & Arakane, K. (2008) · Human Cell · doi:10.1111/j.1749-0774.2008.00052.x · Cited by 17
Metabolic Journey to Healthy Longevity
Barbieri, M., Boccardi, V., Papa, M., & Paolisso, G. (2009) · Hormone Research in Paediatrics · doi:10.1159/000178032 · Cited by 11
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Thévenot, E., Roux, A., Xu, Y., Ezan, É., & Junot, C. (2015) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00354 · Cited by 1,802
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Metadata
- Authors
- Yu, Z., Zhai, G., Singmann, P., He, Y., Xu, T., Prehn, C., Römisch‐Margl, W., Lattka, E., Gieger, C., Soranzo, N., Heinrich, J., Standl, M., Thiering, E., Mittelstraß, K., Wichmann, H., Peters, A., Suhre, K., Li, Y., Adamski, J., Spector, T. D., Illig, T., & Wang‐Sattler, R.
- Affiliations
- China University of Mining and Technology (CN)
- Memorial University of Newfoundland (CA)
- Chinese Academy of Sciences (CN)
- Helmholtz Munich (DE)
- King's College London (GB)
- Harvard University (US)
- Corresponding author
- Wang‐Sattler, Rui
- ORCID
- Venue
- Aging Cell
- Publisher
- Wiley
- Published
- 2012-08-27
- Volume
- 11
- Issue
- 6
- Pages
- 960-967
- ISSN
- 1474-9718 (ISSN-L)
- 1474-9726
- PMC
- PMC3533791
- OpenAlex
- W2121544545
- Cited by
- 340
- References
- 48
- Citations by year
- 2026: 16 · 2025: 24 · 2024: 34 · 2023: 30 · 2022: 40 · 2021: 31 · 2020: 26 · 2019: 22 · 2018: 18 · 2017: 17 · 2016: 25 · 2015: 19 · 2014: 18 · 2013: 18 · 2012: 2
- FWCI
- 7.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Aging Cell (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Site cant be reached (submittedVersion, cc-by)
- Funders
- Wellcome Trust
- National Institute for Health and Care Research
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
- Keywords
- aging, age-related metabolic changes, serum metabolites, fatty acid oxidation, sphingomyelin, phosphatidylcholine, histidine, healthy aging, sex differences, TwinsUK
- MeSH terms
- Adult, Age Factors, Aged, Aged, 80 and over, Aging, Fatty Acids, Female, Humans, Male, Middle Aged, Oxidation-Reduction, Sex Factors, Biomarkers, Body Mass Index, Multivariate Analysis, Flow Injection Analysis, Tandem Mass Spectrometry, Metabolomics, Metabolome
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