Reliability of serum metabolite concentrations over a 4-month period using a targeted metabolomic approach
Open accessAbstract
Metabolomics is a promising tool for discovery of novel biomarkers of chronic disease risk in prospective epidemiologic studies. We investigated the between- and within-person variation of the concentrations of 163 serum metabolites over a period of 4 months to evaluate the metabolite reliability expressed by the intraclass-correlation coefficient (ICC: the ratio of between-person variance and total variance). The analyses were performed with the BIOCRATES AbsoluteIDQ™ targeted metabolomics technology, including acylcarnitines, amino acids, glycerophospholipids, sphingolipids and hexose in 100 healthy individuals from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study who had provided two fasting blood samples 4 months apart. Overall, serum reliability of metabolites over a 4-month period was good. The median ICC of the 163 metabolites was 0.57. The highest ICC was observed for hydroxysphingomyelin C14:1 (ICC = 0.85) and the lowest was found for acylcarnitine C3:1 (ICC = 0). Reliability was high for hexose (ICC = 0.76), sphingolipids (median ICC = 0.66; range: 0.24-0.85), amino acids (median ICC = 0.58; range: 0.41-0.72) and glycerophospholipids (median ICC = 0.58; range: 0.03-0.81). Among acylcarnitines, reliability of short and medium chain saturated compounds was good to excellent (ICC range: 0.50-0.81). Serum reliability was lower for most hydroxyacylcarnitines and monounsaturated acylcarnitines (ICC range: 0.11-0.45 and 0.00-0.63, respectively). For most of the metabolites a single measurement may be sufficient for risk assessment in epidemiologic studies with healthy subjects.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
On the basis of a previous evaluation of measurement reliability, metabolites below the limit of detection and those with very high analytic variance were excluded.
“On the basis of a previous evaluation of the reliability of measurements (23), we excluded metabolites below the limit of detection (n = 30) and those with very high analytic variance (n = 6).”
From Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes (2015) · cites this paper as [23]
FFQs showed good reliability and relative validity to assess meat intake, and investigated metabolites showed good reliability in validation studies.
“However, FFQs showed good reliability and relative validity to assess meat intake, and investigated metabolites showed good reliability in validation studies (23).”
From Amino acids, lipid metabolites, and ferritin as potential mediators linking red meat consumption to type 2 diabetes (2015) · cites this paper as [23]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The Design and Analysis of Clinical Experiments
Fleiss, J. L. (1999) · Wiley eBooks · doi:10.1002/9781118032923 · Cited by 4,819 · see citing works
Fundamentals of Biostatistics.
(1969) · Annals of Internal Medicine · doi:10.7326/0003-4819-70-4-873 · Cited by 4,573 · see citing works
Zelena, E., Dunn, W. B., Broadhurst, D., Francis‐McIntyre, S., Carroll, K. M., Begley, P., O’Hagan, S., Knowles, J. D., Halsall, A., HUSERMET Consortium, et al. (2009) · Analytical Chemistry · doi:10.1021/ac8019366 · Cited by 815 · see citing works
Metabolomics-based methods for early disease diagnostics
Gowda, G. A. N., Zhang, S., Gu, H., Asiago, V. M., Shanaiah, N., & Raftery, D. (2008) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.8.5.617 · Cited by 690 · see citing works
Mihalik, S. J., Goodpaster, B. H., Kelley, D. E., Chace, D. H., Vockley, J., Toledo, F. G. S., & DeLany, J. P. (2010) · Obesity · doi:10.1038/oby.2009.510 · Cited by 653 · see citing works
A genome-wide perspective of genetic variation in human metabolism
Illig, T., Gieger, C., Zhai, G., Römisch-Margl, W., Wang-Sattler, R., Prehn, C., Altmaier, E., Kastenmüller, G., Kato, B. S., Mewes, H.-W., et al. (2010) · Nature Genetics · doi:10.1038/ng.507 · Cited by 653 · 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
Recruitment 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
Fleiss, J. L. (1999) · doi:10.1002/9781118032923.ch1 · Cited by 296 · see citing works
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 · 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
Exploring Disease through Metabolomics
Vinayavekhin, N., Homan, E. A., & Saghatelian, A. (2009) · ACS Chemical Biology · doi:10.1021/cb900271r · Cited by 232 · see citing works
Application of Metabolomics to Cardiovascular Biomarker and Pathway Discovery
Lewis, G. D., Asnani, A. H., & Gerszten, R. E. (2008) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2008.03.043 · Cited by 229 · see citing works
Intraclass Correlation Coefficient
Koch, G. G. (2005) · Encyclopedia of Statistical Sciences · doi:10.1002/0471667196.ess1275.pub2 · Cited by 197 · see citing works
Zhao, X., Peter, A., Fritsche, J., Elcnerova, M., Fritsche, A., Häring, H.-U., Schleicher, E. D., Xu, G., & Lehmann, R. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.90748.2008 · Cited by 170 · see citing works
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 163 · see citing works
Sphingomyelinases: their regulation and roles in cardiovascular pathophysiology
Pavoine, C., & Pecker, F. (2009) · Cardiovascular Research · doi:10.1093/cvr/cvp030 · Cited by 162 · see citing works
Effects of sample handling and storage on quantitative lipid analysis in human serum
Zivkovic, A. M., Wiest, M. M., Nguyen, U. T., Davis, R., Watkins, S. M., & German, J. B. (2009) · Metabolomics · doi:10.1007/s11306-009-0174-2 · Cited by 154 · see citing works
Zhang, P., Liu, B., Jenkins, G. M., Hannun, Y. A., & Obeid, L. M. (1997) · Journal of Biological Chemistry · doi:10.1074/jbc.272.15.9609 · Cited by 153 · see citing works
Adiponectin: Stability in Plasma over 36 Hours and Within-Person Variation over 1 Year
Pischon, T., Hotamışlıgil, G. S., & Rimm, E. B. (2003) · Clinical Chemistry · doi:10.1373/49.4.650 · Cited by 147 · 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
Crews, B. O., Wikoff, W. R., Patti, G. J., Woo, H., Kalisiak, E., Heideker, J., & Siuzdak, G. E. (2009) · Analytical Chemistry · doi:10.1021/ac9014947 · Cited by 129 · see citing works
Kotsopoulos, J., Tworoger, S. S., Campos, H., Chung, F., Clevenger, C. V., Franke, A. A., Mantzoros, C. S., Ricchiuti, V., Willett, W. C., Hankinson, S. E., et al. (2010) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-09-1318 · Cited by 121 · see citing works
Wang‐Sattler, R., Yu, Y., Mittelstraß, K., Lattka, E., Altmaier, E., Gieger, C., Ladwig, K., Dahmen, N., Weinberger, K. M., Hao, P., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003863 · Cited by 118 · see citing works
Nonnegative Minimum Biased Invariant Estimation in Variance Component Models
Hartung, J. G. (1981) · The Annals of Statistics · doi:10.1214/aos/1176345394 · Cited by 93 · see citing works
Koeberl, D. D., Young, S. P., Gregersen, N., Vockley, J. E., Smith, W. E., Benjamin, D. K., An, Y., Weavil, S. D., Chaing, S., Bali, D. S., et al. (2003) · Pediatric Research · doi:10.1203/01.pdr.0000074972.36356.89 · Cited by 87 · see citing works
Long-Term Stability of Amino Acids and Acylcarnitines in Dried Blood Spots
Strnadová, K. A., Holub, M., Mühl, A., Heinze, G., Ratschmann, R., Mascher, H. J., Stöckler‐Ipsiroglu, S., Waldhauser, F., Votava, F., Lebl, J., et al. (2007) · Clinical Chemistry · doi:10.1373/clinchem.2006.076679 · Cited by 87 · see citing works
Within-Individual Stability of Obesity-Related Biomarkers among Women
Kaplan, R. C., Ho, G., Xue, X., Rajpathak, S. N., Cushman, M., Rohan, T. E., Strickler, H. D., Scherer, P. E., & Anastos, K. (2007) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-06-1089 · Cited by 61 · see citing works
Einsatz von Metabolomics zur Diagnose von Stoffwechselkrankheiten
Weinberger, K. M. (2008) · Therapeutische Umschau · doi:10.1024/0040-5930.65.9.487 · Cited by 39 · see citing works
The intraclass correlation coefficient
ROSNER, B. A. (2000) · Medical Entomology and Zoology · Cited by 32 · see citing works
Searching for ‘omic’ biomarkers
Lin, D. T. S., Hollander, Z., Meredith, A., & McManus, B. M. (2009) · Canadian Journal of Cardiology · doi:10.1016/s0828-282x(09)71048-7 · Cited by 17 · see citing works
Within-subject variation of plasma resistin levels over a 1-year period
Weikert, C., Westphal, S., Luley, C. H., Willich, S. N., Boeing, H., & Pischon, T. (2007) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2007.148 · Cited by 12 · see citing works
Plasma Carnitines: Reference Values in an Ambulatory Population
Boulat, O., Janin, B., Francioli, P. B., & Bachmann, C. (1993) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.1993.31.9.585 · Cited by 9 · see citing works
(2016) · Advances in computer and electrical engineering book series · doi:10.4018/978-1-4666-9429-3.ch005 · Cited by 9 · see citing works
Heritability of plasma amino acid levels in different nutritional states
McBride, K. L., Belmont, J. W., O’Brien, W. E., Amin, T. J., Carter, S., & Lee, B. (2006) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2006.08.010 · Cited by 8 · see citing works
Reproducibility of in vivo measures of platelet membrane phospholipids in human subjects
Soares, J. C., Dippold, C. S., Wells, K. F., Houck, P., & Mallinger, A. G. (1999) · Psychiatry Research · doi:10.1016/s0165-1781(99)00028-1 · Cited by 5 · see citing works
Flagged first, then by citations
2 of the 38 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Floegel, A., Stefan, N., Yu, Z., Mühlenbruch, K., Drogan, D., Joost, H.-G., Fritsche, A., Häring, H.-U., Hrabě de Angelis, M., Peters, A., et al. (2013) · Diabetes · doi:10.2337/db12-0495 · Cited by 988 · see citing works
Novel biomarkers for pre-diabetes identified by metabolomics
Wang‐Sattler, R., Yu, Z., Herder, C., Messias, A. C., Floegel, A., He, Y., Heim, K., Campillos, M., Holzapfel, C., Thorand, B., et al. (2012) · Molecular Systems Biology · doi:10.1038/msb.2012.43 · Cited by 701 · see citing works
Self-citationDunn, W. B., Wilson, I. D., Nicholls, A. W., & Broadhurst, D. (2012) · Bioanalysis · doi:10.4155/bio.12.204 · Cited by 442 · see citing works
Metabolomics for clinical use and research in chronic kidney disease
Hocher, B., & Adamski, J. (2017) · Nature Reviews Nephrology · doi:10.1038/nrneph.2017.30 · Cited by 335 · 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
Targeted Metabolomics Identifies Reliable and Stable Metabolites in Human Serum and Plasma Samples
Breier, M., Wahl, S., Prehn, C. P., Fugmann, M., Ferrari, U., Weise, M., Banning, F., Seißler, J., Grallert, H., Adamski, J., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089728 · Cited by 240 · see citing works
Kuhn, T. E., Floegel, A., Sookthai, D., Johnson, T., Rolle-Kampczyk, U. E., Otto, W., von Bergen�, M., Boeing, H., & Kaaks, R. (2016) · BMC Medicine · doi:10.1186/s12916-016-0552-3 · Cited by 241 · see citing works
Uremic solutes and risk of end-stage renal disease in type 2 diabetes: metabolomic study
Niewczas, M. A., Sirich, T. L., Mathew, A. V., SKUPIEN, J. K., Mohney, R. P., Warram, J. H., Smiles, A. M., Huang, X., Walker, W., Byun, J., et al. (2014) · Kidney International · doi:10.1038/ki.2013.497 · Cited by 225 · see citing works
Urinary metabolic signatures of human adiposity
Elliott, P., Posma, J. M., Chan, Q. M., García‐Pérez, I., Wijeyesekera, A., Bictash, M., Ebbels, T. M. D., Ueshima, H., Zhao, L., Horn, L. V., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa5680 · Cited by 207 · see citing works
Metabolomics in Epidemiology: Sources of Variability in Metabolite Measurements and Implications
Sampson, J. N., Boca, S. M., Shu, X. O., Stolzenberg‐Solomon, R. Z., Matthews, C. E., Hsing, A. W., Tan, Y. T., Ji, B., Chow, W., Cai, Q., et al. (2013) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-12-1109 · Cited by 167 · see citing works
Kirwan, J., Brennan, L., Broadhurst, D., Fiehn, O., Cascante, M., Dunn, W. B., Schmidt, M. A., & Velagapudi, V. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2018.287045 · Cited by 171 · see citing works
LC–MS-based metabolomics in the clinical laboratory
Becker, S., Kortz, L., Helmschrodt, C., Thiery, J., & Ceglarek, U. (2011) · Journal of Chromatography B · doi:10.1016/j.jchromb.2011.10.018 · Cited by 164 · see citing works
Trabado, S., Al‐Salameh, A., Croixmarie, V., Masson, P., Corruble, E., Fève, B., Colle, R., Ripoll, L., Walther, B., Boursier-Neyret, C., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173615 · Cited by 151 · see citing works
Schmidt, J. A., Rinaldi, S., Ferrari, P., Carayol, M., Achaintre, D., Scalbert, A., Cross, A. J., Gunter, M. J., Fensom, G. K., Appleby, P. N., et al. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.111989 · Cited by 140 · see citing works
Carayol, M., Licaj, I., Achaintre, D., Sacerdote, C., Vineis, P., Key, T. J., Onland‐Moret, N. C., Scalbert, A., Rinaldi, S., & Ferrari, P. (2015) · PLoS ONE · doi:10.1371/journal.pone.0135437 · Cited by 139 · see citing works
Floegel, A., von Ruesten, A., Drogan, D., Schulze, M. B., Prehn, C. P., Adamski, J., Pischon, T., & Boeing, H. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2013.147 · Cited by 132 · see citing works
Prospective analysis of circulating metabolites and breast cancer in EPIC
His, M., Viallon, V., Dossus, L., Gicquiau, A., Achaintre, D., Scalbert, A., Ferrari, P., Romieu, I., Onland‐Moret, N. C., Weiderpass, E., et al. (2019) · BMC Medicine · doi:10.1186/s12916-019-1408-4 · Cited by 130 · see citing works
Targeted metabolomics profiles are strongly correlated with nutritional patterns in women
Menni, C., Zhai, G., MacGregor, A. J., Prehn, C. P., Römisch‐Margl, W., Suhre, K., Adamski, J., Cassidy, A., Illig, T., Spector, T. D., et al. (2012) · Metabolomics · doi:10.1007/s11306-012-0469-6 · Cited by 126 · 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
Dietrich, S., Floegel, A., Troll, M., Kuhn, T. E., Rathmann, W., Peters, A., Sookthai, D., von Bergen�, M., Kaaks, R., Adamski, J., et al. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw145 · Cited by 116 · see citing works
Dietrich, S., Floegel, A., Weikert, C., Prehn, C. P., Adamski, J., Pischon, T., Boeing, H., & Drogan, D. (2016) · Hypertension · doi:10.1161/hypertensionaha.116.07292 · Cited by 114 · see citing works
Floegel, A., Wientzek, A., Bachlechner, U., Jacobs, S., Drogan, D., Prehn, C. P., Adamski, J., Krumsiek, J., Schulze, M. B., Pischon, T., et al. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.39 · Cited by 105 · see citing works
Floegel, A., Kuhn, T. E., Sookthai, D., Johnson, T., Prehn, C. P., Rolle-Kampczyk, U. E., Otto, W., Weikert, C., Illig, T., von Bergen�, M., et al. (2017) · European Journal of Epidemiology · doi:10.1007/s10654-017-0333-0 · Cited by 103 · see citing works
The impact of ambient air pollution on the human blood metabolome
Vlaanderen, J. J., Janssen, N., Hoek, G., Keski‐Rahkonen, P., Barupal, D. K., Cassee, F. R., Gosens, I., Strak, M., Steenhof, M., Qing Lan, B., et al. (2017) · Environmental Research · doi:10.1016/j.envres.2017.03.042 · Cited by 95 · see citing works
Midttun, Ø., Townsend, M. K., Nygard, O. K., Tworoger, S. S., Brennan, P., Johansson, M., & Ueland, P. M. (2014) · Journal of Nutrition · doi:10.3945/jn.113.189738 · Cited by 95 · see citing works
Zheng, Y., Yu, B., Alexander, D. C., Manolio, T. A., Aguilar, D. A., Coresh, J., HEISS, G. M., Boerwinkle, E., & Nettleton, J. A. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kwt004 · Cited by 90 · see citing works
Loftfield, E., Vogtmann, E., Sampson, J. N., Moore, S. C., Nelson, H., Knight, R. D., Chia, N., & Sinha, R. R. (2016) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-16-0409 · Cited by 87 · see citing works
Schmidt, J. A., Fensom, G. K., Rinaldi, S., Scalbert, A., Appleby, P. N., Achaintre, D., Gicquiau, A., Gunter, M. J., Ferrari, P., Kaaks, R., et al. (2017) · BMC Medicine · doi:10.1186/s12916-017-0885-6 · Cited by 82 · see citing works
Rankin, N., Preiss, D., Welsh, P. I., Burgess, K. E., Nelson, S. M., Lawlor, D. A., & Sattar, N. A. (2014) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2014.09.024 · Cited by 81 · see citing works
Changes in the serum metabolite profile in obese children with weight loss
Reinehr, T., Wolters, B., Knop, C., Lass, N., Hellmuth, C., Harder, U., Peißner, W., Wahl, S., Grallert, H., Adamski, J., et al. (2014) · European Journal of Nutrition · doi:10.1007/s00394-014-0698-8 · Cited by 78 · see citing works
Blood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort
Carayol, M., Leitzmann, M. F., Ferrari, P., Zamora‐Ros, R., Achaintre, D., Stępień, M., Schmidt, J. A., Travis, R. C., Overvad, K., Tjønneland, A. M., et al. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b01062 · Cited by 77 · see citing works
1 H-NMR analysis provides a metabolomic profile of patients with multiple sclerosis
Cocco, E. E., Murgia, F., Lorefice, L., Barberini, L., Poddighe, S., Frau, J., Fenu, G., Coghe, G., Murru, M. R., Murru, R., et al. (2015) · Neurology Neuroimmunology & Neuroinflammation · doi:10.1212/nxi.0000000000000185 · Cited by 74 · see citing works
The metabolic fingerprint of p,p′-DDE and HCB exposure in humans
Salihović, S., Ganna, A., Fall, T., Broeckling, C. D., Prenni, J. E., van Bavel, B., Lind, P., Ingelsson, E., & Lind, L. (2015) · Environment International · doi:10.1016/j.envint.2015.12.015 · Cited by 74 · see citing works
Shi, L. S., Brunius, C. F., Lehtonen, M., Auriola, S. O. K., Bergdahl, I. A., Rolandsson, O., Hanhineva, K., & Landberg, R. (2018) · Diabetologia · doi:10.1007/s00125-017-4521-y · Cited by 72 · see citing works
Jacobs, S., Kröger, J., Floegel, A., Boeing, H., Drogan, D., Pischon, T., Fritsche, A., Prehn, C. P., Adamski, J., Isermann, B., et al. (2014) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.080317 · Cited by 72 · see citing works
Schmidt, J. A., Fensom, G. K., Rinaldi, S., Scalbert, A., Appleby, P. N., Achaintre, D., Gicquiau, A., Gunter, M. J., Ferrari, P., Kaaks, R., et al. (2019) · International Journal of Cancer · doi:10.1002/ijc.32314 · Cited by 71 · see citing works
Metabolomics Biomarkers for Detection of Colorectal Neoplasms: A Systematic Review
Erben, V., Bhardwaj, M., Schrotz‐King, P., & Brenner, H. (2018) · Cancers · doi:10.3390/cancers10080246 · Cited by 69 · see citing works
Stoessel, D., Stellmann, J., Willing, A., Behrens, B., Rosenkranz, S. C., Hodecker, S. C., Stürner, K. H., Reinhardt, S., Fleischer, S., Deuschle, C., et al. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00226 · Cited by 68 · see citing works
Knebel, B., Straßburger, K., Szendroedi, J., Kotzka, J., Scheer, M., Nowotny, B., Müssig, K., Lehr, S., Pacini, G., Finner, H., et al. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-4133 · Cited by 63 · see citing works
Halama, A., Riesen, N., Möller, G., de Angelis, M. H., & Adamski, J. (2013) · Journal of Internal Medicine · doi:10.1111/joim.12117 · Cited by 61 · see citing works
Lécuyer, L., Dalle, C., Lyan, B., Demidem, A., Rossary, A., Vasson, M., Pétéra, M., Lagrée, M., Ferreira, T., Centeno, D., et al. (2019) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-19-0154 · Cited by 54 · see citing works
Li‐Gao, R., Hughes, D. A., le Cessie, S., de Mutsert, R., den Heijer, M., Rosendaal, F. R., van Dijk, K. W., Timpson, N. J., & Mook-Kanamori, D. O. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218549 · Cited by 57 · see citing works
Huang, J., Weinstein, S. J., Moore, S. C., Derkach, A., Hua, X., Liao, L. M., Gu, F., Mondul, A. M., Sampson, J. N., & Albanes, D. (2018) · American Journal of Epidemiology · doi:10.1093/aje/kwy017 · Cited by 54 · see citing works
The role of metabolomics in neurological disease
Hassan‐Smith, G., Wallace, G. R., Douglas, M. R., & Sinclair, A. J. (2012) · Journal of Neuroimmunology · doi:10.1016/j.jneuroim.2012.01.009 · Cited by 52 · see citing works
Lécuyer, L., Bala, A. V., Deschasaux, M., Bouchemal, N., Triba, M. N., Vasson, M., Rossary, A., Demidem, A., Galan, P., Herçberg, S., et al. (2018) · International Journal of Epidemiology · doi:10.1093/ije/dyx271 · Cited by 91 · see citing works
Discovering and validating between-subject variations in plasma lipids in healthy subjects
Begum, H., Li, B., Shui, G., Cazenave‐Gassiot, A., Soong, R. C. T., Ong, R. T., Little, P., Teo, Y., & Wenk, M. R. (2016) · Scientific Reports · doi:10.1038/srep19139 · Cited by 50 · see citing works
Campa, D., Barrdahl, M., Santoro, A., Severi, G., Baglietto, L., Omichessan, H., Tumino, R., Bueno-de-Mesquita, H. B., Peeters, P. H. M., Weiderpass, E., et al. (2018) · Breast Cancer Research · doi:10.1186/s13058-018-0955-5 · Cited by 50 · see citing works
Prospective analysis of circulating metabolites and endometrial cancer risk
Dossus, L., Kouloura, E., Biessy, C., Viallon, V., Siskos, A., Dimou, N. L., Rinaldi, S., Merritt, M. A., Allen, N. E., Fortner, R. T., et al. (2021) · Gynecologic Oncology · doi:10.1016/j.ygyno.2021.06.001 · Cited by 47 · see citing works
Bressler, J., Yu, B., Mosley, T. H., Knopman, D. S., Gottesman, R. F., Alonso, Á., Sharrett, A. R., Wruck, L. M., & Boerwinkle, E. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.118 · Cited by 46 · see citing works
Agueusop, I., Musholt, P. B., KLAUS, B. M., Hightower, K. E., & Kannt, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-72914-7 · Cited by 46 · see citing works
Peterson, C. T., Lucas, J. E., John‐Williams, L. S., Thompson, J. W., Moseley, M. A., Patel, S., Peterson, S. N., Porter, V., Schadt, E. E., Mills, P. J., et al. (2016) · Scientific Reports · doi:10.1038/srep32609 · Cited by 45 · see citing works
Fatty Liver Due to Increased de novo Lipogenesis: Alterations in the Hepatic Peroxisomal Proteome
Knebel, B., Fahlbusch, P., Dille, M. A., Wahlers, N., Hartwig, S., Jacob, S., Kettel, U., Schiller, M., Herebian, D. A., Koellmer, C., et al. (2019) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2019.00248 · Cited by 44 · see citing works
Endocrinology Meets Metabolomics: Achievements, Pitfalls, and Challenges
Tokarz, J., Haid, M., Cecil, A., Prehn, C. P., Artati, A., Möller, G., & Adamski, J. (2017) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2017.07.001 · Cited by 43 · see citing works
Guida, F., Tan, V. Y., Corbin, L. J., Smith-Byrne, K., Alcala, K., Langenberg, C., Stewart, I. D., Butterworth, A. S., Surendran, P., Achaintre, D., et al. (2021) · PLoS Medicine · doi:10.1371/journal.pmed.1003786 · Cited by 39 · see citing works
van Roekel, E. H., Trijsburg, L. E., Assi, N., Carayol, M., Achaintre, D., Murphy, N., Rinaldi, S., Schmidt, J. A., Stępień, M., Kaaks, R., et al. (2018) · Nutrients · doi:10.3390/nu10050654 · Cited by 41 · see citing works
Breeur, M., Ferrari, P., Dossus, L., Jenab, M., Johansson, M., Rinaldi, S., Travis, R. C., His, M., Key, T., Schmidt, J. A., et al. (2022) · BMC Medicine · doi:10.1186/s12916-022-02553-4 · Cited by 41 · see citing works
Pathway and Time-Resolved Benzo[a]pyrene Toxicity on Hepa1c1c7 Cells at Toxic and Subtoxic Exposure
Kalkhof, S., Dautel, F., Loguercio, S., Baumann, S., Trump, S., Jungnickel, H., Otto, W., Rudzok, S., Potratz, S., Luch, A., et al. (2014) · Journal of Proteome Research · doi:10.1021/pr500957t · Cited by 40 · see citing works
Verma, M., Khoury, M. J., & Ioannidis, J. P. A. (2012) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-12-1263 · Cited by 38 · see citing works
Suvitaival, T., Mantere, O., Kieseppä, T., Mattila, I. M., Pöhö, P., Hyötyläinen, T., Suvisaari, J., & Orešič, M. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.222 · Cited by 38 · see citing works
Sources of Variability in Metabolite Measurements from Urinary Samples
Xiao, Q., Moore, S. C., Boca, S. M., Matthews, C. E., Rothman, N., Stolzenberg‐Solomon, R. Z., Sinha, R. R., Cross, A. J., & Sampson, J. N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0095749 · Cited by 37 · see citing works
Bachlechner, U., Floegel, A., Steffen, A., Prehn, C. P., Adamski, J., Pischon, T., & Boeing, H. (2016) · Nutrition and Diabetes · doi:10.1038/nutd.2016.23 · Cited by 35 · see citing works
Assessment of metabolic phenotypic variability in children’s urine using 1H NMR spectroscopy
Maître, L., Lau, C. E., Vizcaíno, E., Robinson, O., Casas, M., Siskos, A., Want, E. J., Athersuch, T. J., Slama, R., Vrijheid, M., et al. (2017) · Scientific Reports · doi:10.1038/srep46082 · Cited by 34 · see citing works
Wang, Y., Hodge, R. A., Stevens, V. L., Hartman, T. J., & McCullough, M. L. (2020) · Metabolites · doi:10.3390/metabo10100382 · Cited by 34 · see citing works
Key elements of metabolomics in the study of biomarkers of diabetes
Adamski, J. (2016) · Diabetologia · doi:10.1007/s00125-016-4044-y · Cited by 32 · see citing works
Schlecht, I., Gronwald, W., Behrens, G., Baumeister, S. E., Hertel, J., Hochrein, J., Zacharias, H. U., Fischer, B., Oefner, P. J., & Leitzmann, M. F. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175133 · Cited by 32 · see citing works
Lécuyer, L., Dalle, C., Lefèvre‐Arbogast, S., Micheau, P., Lyan, B., Rossary, A., Demidem, A., Pétéra, M., Lagrée, M., Centeno, D., et al. (2019) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-19-0900 · Cited by 32 · see citing works
Wu, F., Chi, L., Ru, H., Parvez, F., Slavkovich, V. N., Eunus, M., Ahmed, A., Islam, T., Rakibuz‐Zaman, M., Hasan, R., et al. (2018) · Environmental Health Perspectives · doi:10.1289/ehp1992 · Cited by 31 · see citing works
Assi, N., Thomas, D. C., Leitzmann, M. F., Stępień, M., Chajès, V., Philip, T. O., Vineis, P., Bamia, C., Boutron‐Ruault, M., Sandanger, T. M., et al. (2018) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-17-0649 · Cited by 30 · see citing works
Fetal Serum Metabolites Are Independently Associated with Gestational Diabetes Mellitus
Lu, Y.-P., Reichetzeder, C., Prehn, C. P., von Websky, K., Slowinski, T., Chen, Y.-P., Yin, L., Kleuser, B., Yang, X., Adamski, J., et al. (2018) · Cellular Physiology and Biochemistry · doi:10.1159/000487119 · Cited by 26 · see citing works
Lin, X., Lécuyer, L., Liu, X., Triba, M. N., Deschasaux, M., Demidem, A., Liu, Z., Palama, T., Rossary, A., Vasson, M., et al. (2021) · Cancers · doi:10.3390/cancers13133140 · Cited by 26 · see citing works
Yin, X., Prendiville, O., McNamara, A. E., & Brennan, L. (2022) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00440 · Cited by 26 · see citing works
Wientzek, A., Floegel, A., Knüppel, S., Vigl, M., Drogan, D., Adamski, J., Pischon, T., & Boeing, H. (2014) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.2013-0048 · Cited by 25 · see citing works
Loef, M., von Hegedus, J. H., Ghorasaini, M., Kroon, F. P. B., Giera, M. A., Ioan‐Facsinay, A., & Kloppenburg, M. (2020) · Metabolites · doi:10.3390/metabo11010026 · Cited by 25 · see citing works
Valvi, D., Walker, D. I., Inge, T. H., Bartell, S. M., Jenkins, T. M., Helmrath, M. A., Ziegler, T. R., Merrill, M. A. L., Eckel, S. P., Conti, D. V., et al. (2020) · Environment International · doi:10.1016/j.envint.2020.105957 · Cited by 24 · see citing works
Rankin, N., Preiss, D., Welsh, P. I., & Sattar, N. A. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw271 · Cited by 23 · see citing works
Li, Z., Shen, Q., Wang, J., Tuo, J., Tan, Y., Li, H., & Xiang, Y. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.104990 · Cited by 23 · see citing works
Koch, M., Freitag‐Wolf, S., Schlesinger, S., Borggrefe, J., Hov, J. R., Jensen, M. K., Pick, J., Markus, M. R. P., Höpfner, T., Jacobs, G., et al. (2017) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2017.43 · Cited by 22 · see citing works
NMR metabolomic profiles associated with long-term risk of prostate cancer
Lécuyer, L., Bala, A. V., Demidem, A., Rossary, A., Bouchemal, N., Triba, M. N., Galan, P., Herçberg, S., Partula, V., Srour, B., et al. (2021) · Metabolomics · doi:10.1007/s11306-021-01780-9 · Cited by 22 · see citing works
Zheng, Y., Yu, B., Alexander, D. C., Couper, D. J., & Boerwinkle, E. (2014) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2014.0019 · Cited by 21 · see citing works
Characterisation of Fasting and Postprandial NMR Metabolites: Insights from the ZOE PREDICT 1 Study
Bermingham, K. M., Mazidi, M., Franks, P. W., Maher, T., Valdes, A. M., Linenberg, I., Wolf, J., Hadjigeorgiou, G. M., Spector, T. D., Menni, C., et al. (2023) · Nutrients · doi:10.3390/nu15112638 · Cited by 20 · see citing works
Bermingham, K. M., Brennan, L., Segurado, R., Barron, R. E., Gibney, E. R., Ryan, M. F., Gibney, M. J., & O’Sullivan, A. M. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00319 · Cited by 18 · see citing works
Murphy, R. A., Moore, S. C., Playdon, M. C., Kritchevsky, S. B., Newman, A. B., Satterfield, S., Ayonayon, H. N., Clish, C. B., Gerszten, R. E., & Harris, T. B. (2017) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx233 · Cited by 18 · see citing works
Lécuyer, L., Dalle, C., Micheau, P., Pétéra, M., Centeno, D., Lyan, B., Lagrée, M., Galan, P., Herçberg, S., Rossary, A., et al. (2020) · European Journal of Nutrition · doi:10.1007/s00394-020-02177-5 · Cited by 18 · see citing works
van Roekel, E. H., Bours, M. J. L., Breukink, S. O., Aquarius, M., Keulen, E. T. P., Gicquiau, A., Rinaldi, S., Vineis, P., Arts, I. C. W., Gunter, M. J., et al. (2022) · International Journal of Cancer · doi:10.1002/ijc.34252 · Cited by 17 · see citing works
Ishibashi, Y., Harada, S., Takeuchi, A., Iida, M., Kurihara, A., Kato, S., Kuwabara, K., Hirata, A., Shibuki, T., Okamura, T., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-86600-9 · Cited by 17 · see citing works
Reproducibility of the Blood and Urine Exposome: A Systematic Literature Review and Meta-Analysis
Goerdten, J., Li, Y., Huybrechts, I., Neveu, V., Nöthlings, U., Ahrens, W., Scalbert, A., & Floegel, A. (2022) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-22-0090 · Cited by 15 · see citing works
Oosterwegel, M. J., Ibi, D., Portengen, L., Probst-Hensch, N. M., Tarallo, S., Naccarati, A., Imboden, M., Jeong, A., Robinot, N. R., Scalbert, A., et al. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c03233 · Cited by 14 · see citing works
Mullen, W., Saigusa, D., Abe, T., Adamski, J., & Mischak, H. (2014) · Seminars in Nephrology · doi:10.1016/j.semnephrol.2014.02.009 · Cited by 13 · see citing works
Genetic variants including markers from the exome chip and metabolite traits of type 2 diabetes
Jäger, S., Wahl, S., Kröger, J., Sharma, S., Hoffmann, P., Floegel, A., Pischon, T., Prehn, C. P., Adamski, J., Müller‐Nurasyid, M., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-06158-3 · Cited by 14 · see citing works
Comparison of metabolite networks from four German population-based studies
Iqbal, K., Dietrich, S., Wittenbecher, C., Krumsiek, J., Kuhn, T. E., Lacruz, M. E., Kluttig, A., Prehn, C. P., Adamski, J., von Bergen�, M., et al. (2018) · International Journal of Epidemiology · doi:10.1093/ije/dyy119 · Cited by 13 · see citing works
Oluwagbemigun, K., Anesi, A., Clarke, G. A., Schmid, M. C., Mattivi, F., & Nöthlings, U. (2021) · International Journal of Tryptophan Research · doi:10.1177/11786469211041376 · Cited by 12 · see citing works
Östman, J. R., Pinto, R. C., Ebbels, T. M. D., Thysell, E., Hallmans, G., & Moazzami, A. A. (2022) · International Journal of Cancer · doi:10.1002/ijc.34223 · Cited by 12 · see citing works
Jäger, S., Cuadrat, R. R. C., Wittenbecher, C., Floegel, A., Hoffmann, P., Prehn, C. P., Adamski, J., Pischon, T., & Schulze, M. B. (2020) · Nutrients · doi:10.3390/nu12123890 · Cited by 13 · see citing works
Michel, M., Salvador, C., Wiedemair, V., Adam, M. G., Laser, K. T., Dubowy, K., Entenmann, A., Karall, D., Geiger, R., Zlamy, M., et al. (2020) · Metabolomics · doi:10.1007/s11306-020-01741-8 · Cited by 11 · see citing works
NMR-Metabolomics Reveals a Metabolic Shift after Surgical Resection of Non-Small Cell Lung Cancer
Derveaux, E., Geubbelmans, M., Criel, M., Demedts, I., Himpe, U., Tournoy, K. G., Vercauter, P., Johansson, E., Valkenborg, D., Vanhove, K., et al. (2023) · Cancers · doi:10.3390/cancers15072127 · Cited by 9 · see citing works
Early Life Factors, Obesity Risk, and the Metabolome of Young Adults
Rauschert, S., Mori, T. A., Beilin, L. J., Jacoby, P. A., Uhl, O., Koletzko, B. V., Oddy, W. H., & Hellmuth, C. (2017) · Obesity · doi:10.1002/oby.21915 · Cited by 9 · see citing works
Jungert, A., & Frank, J. (2021) · Antioxidants · doi:10.3390/antiox10030448 · Cited by 9 · see citing works
Biomarkers of mammographic density in premenopausal women
His, M., Lajous, M., Gómez‐Flores‐Ramos, L., Monge, A., Dossus, L., Viallon, V., Gicquiau, A., Biessy, C., Gunter, M. J., & Rinaldi, S. (2021) · Breast Cancer Research · doi:10.1186/s13058-021-01454-3 · Cited by 8 · see citing works
Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women
Merz, B., Nöthlings, U., Wahl, S., Haftenberger, M., Schienkiewitz, A., Adamski, J., Suhre, K., Wang‐Sattler, R., Grallert, H., Thorand, B., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157733 · Cited by 8 · see citing works
Kuhn, T. E., Sookthai, D., Rolle-Kampczyk, U. E., Otto, W., von Bergen�, M., Kaaks, R., & Johnson, T. (2016) · Metabolomics · doi:10.1007/s11306-016-1133-3 · Cited by 8 · see citing works
- Authors
- Floegel, A., Drogan, D., Wang-Sattler, R., Prehn, C., Illig, T., Adamski, J., Joost, H.-G., Boeing, H., & Pischon, T.
- Affiliations
- German Institute of Human Nutrition (DE)
- Helmholtz Munich (DE)
- Max Delbrück Center (DE)
- Corresponding author
- Floegel, Anna
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-06-15
- Volume
- 6
- Issue
- 6
- Pages
- e21103
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3115978
- OpenAlex
- W2042418561
- Cited by
- 135
- References
- 38
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 5 · 2023: 5 · 2022: 9 · 2021: 14 · 2020: 9 · 2019: 7 · 2018: 14 · 2017: 15 · 2016: 14 · 2015: 6 · 2014: 13 · 2013: 7 · 2012: 7
- FWCI
- 3.63
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Site cant be reached (submittedVersion, cc-by)
- Funders
- Bundesministerium für Bildung und Forschung (01GI0922)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
- Keywords
- serum metabolites, intraclass correlation coefficient, between-person variation, within-person variability, targeted metabolomics, acylcarnitines, sphingolipids, glycerophospholipids, amino acids, hexoses, biomarkers, chronic disease risk
- MeSH terms
- Female, Humans, Male, Middle Aged, Reproducibility of Results, Serum, Metabolomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review