Assessing individual metabolic responsiveness to a lipid challenge using a targeted metabolomic approach
Open accessAbstract
The development of assessment techniques with immediate clinical applicability is a priority for resolving the growing epidemic in metabolic disease. Many imbalances in diet-dependent metabolism are not detectable in the fasted state. Resolving the high inter-individual variability in response to diet requires the development of techniques that can detect metabolic dysfunction at the level of the individual. The intra- and inter-individual variation in lipid metabolism in response to a standardized test meal was determined. Following an overnight fast on three different days, three healthy subjects consumed a test meal containing 40% of their daily calories. Plasma samples were collected at fasting, and 1, 3, 6, and 8 h after the test meal. Plasma fatty acid (FA) concentrations within separated lipid classes and lipoprotein fractions were measured at each time point. The intra-individual variation within each subject across three days was lower than the inter-individual differences among the three subjects for over 50% of metabolites in the triacylglycerol (TG), FA, and phosphatidylcholine (PC) lipid classes at 6 h, and for 25-50% of metabolites across lipid classes at 0, 1, 3, and 8 h. The consistency of response within individuals was visualized by principal component analysis (PCA) and confirmed by ANOVA. Three representative metabolites that discriminated among the three individuals in the apolipoprotein B (ApoB) fraction, TG16:1n7, TG18:2n6, and PC18:3n3, are discussed in detail. The postprandial responses of individuals were unique within metabolites that were individual discriminators (ID) of metabolic phenotype. This study shows that the targeted metabolomic measurement of individual metabolic phenotype in response to a specially formulated lipid challenge is possible even without lead-in periods, dietary and lifestyle control, or intervention over a 3-month period in healthy free-living individuals.
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Different people respond differently to foods and nutrients, warranting personalized approaches to nutrition interventions and services.
“It is now understood that different people respond differently to foods and nutrients, warranting personalized approaches to nutrition interventions and services [3,17-21].”
From Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study (2020) · cites this paper as [18]
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A SIMPLE METHOD FOR THE ISOLATION AND PURIFICATION OF TOTAL LIPIDES FROM ANIMAL TISSUES
Folch, J., Lees, M., & Stanley, G. H. S. (1957) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)64849-5 · Cited by 65,189 · see citing works
The American Journal of Physiology
(1899) · The American Naturalist · doi:10.1086/277182 · Cited by 5,680 · see citing works
Atherogenesis: a postprandial phenomenon.
Zilversmit, D. B. (1979) · Circulation · doi:10.1161/01.cir.60.3.473 · Cited by 1,701 · see citing works
Keith, D. S., Nichols, G. A., Gullion, C. M., Brown, J. B., & Smith, D. H. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.6.659 · Cited by 1,680 · see citing works
Stampfer, M. J. (1996) · JAMA · doi:10.1001/jama.1996.03540110036029 · Cited by 1,085 · see citing works
European journal of clinical nutrition
Waterlow, J. C., & Garrow, J. S. (1993) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(93)92315-o · Cited by 672 · see citing works
Katan, M., Deslypère, J. P., van Birgelen, A. P. J. M., Penders, M. T., & Zegwaard, M. J. (1997) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)37132-7 · Cited by 639 · see citing works
Diraison, F., Moulin, P., & Beylot, M. (2003) · Diabetes & Metabolism · doi:10.1016/s1262-3636(07)70061-7 · Cited by 435 · see citing works
Mechanisms for the acute effect of fructose on postprandial lipemia
Chong, M. F., Fielding, B. A., & Frayn, K. N. (2007) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/85.6.1511 · Cited by 367 · see citing works
Lipid metabolome-wide effects of the PPARγ agonist rosiglitazone
Watkins, S. M., Reifsnyder, P. C., Pan, H.-J., German, J. B., & Leiter, E. H. (2002) · Journal of Lipid Research · doi:10.1194/jlr.m200169-jlr200 · Cited by 274 · see citing works
Self-citationPostprandial recruitment of neutrophils may contribute to endothelial dysfunction
van Oostrom, A. J. H. H. M., Sijmonsma, T. P., Verseyden, C., Jansen, E. H. J. M., de Koning, E. J. P., Rabelink, T. J., & Castro Cabezas, M. (2003) · Journal of Lipid Research · doi:10.1194/jlr.m200419-jlr200 · Cited by 249 · see citing works
Cohn, J. S., Johnson, E. J., Millar, J. S., Cohn, S. D., Milne, R. W., Marcel, Y. L., Russell, R. M., & Schaefer, E. J. (1993) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)35345-1 · Cited by 248 · see citing works
Fielding, B., Callow, J., Owen, R., Samra, J. S., Dr, M., & Frayn, K. N. (1996) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/63.1.36 · Cited by 224 · see citing works
Stampfer, M. J. (1996) · JAMA · doi:10.1001/jama.276.11.882 · Cited by 210 · see citing works
Ordovás, J. M., Corella, D., Cupples, L. A., Demissie, S., Kelleher, A., Coltell, Ó., Wilson, P. W. F., Schaefer, E. J., & Tucker, K. L. (2002) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/75.1.38 · Cited by 182 · see citing works
High-Energy Diets, Fatty Acids and Endothelial Cell Function: Implications for Atherosclerosis
Hennig, B., Toborek, M. J., & McClain, C. J. (2001) · Journal of the American College of Nutrition · doi:10.1080/07315724.2001.10719021 · Cited by 181 · see citing works
Lichtenstein, A. H., Ausman, L. M., Velez‐Carrasco, W., Jenner, J. L., Gualtieri, L. J., Goldin, B. R., Ordovás, J. M., & Schaefer, E. J. (1993) · Arteriosclerosis and Thrombosis A Journal of Vascular Biology · doi:10.1161/01.atv.13.10.1533 · Cited by 175 · see citing works
A thematic review series: systems biology approaches to metabolic and cardiovascular disorders
Lusis, A. J. (2006) · Journal of Lipid Research · doi:10.1194/jlr.e600004-jlr200 · Cited by 135 · see citing works
Schaefer, E. J., Audelin, M. C., McNamara, J. R., Shah, P. K., Tayler, T. D., Daly, J. A., Augustín, J., SEMAN, L. J., & Rubenstein, J. J. (2001) · The American Journal of Cardiology · doi:10.1016/s0002-9149(01)02047-1 · Cited by 118 · see citing works
Fuentes, F. J., López‐Miranda, J., Pérez‐Martínez, P., Jiménez, Y., Marı́n, C., Gómez, P., Fernández, J. M., Caballero‐Villarraso, J., Delgado‐Lista, J., & Pérez‐Jiménez, F. (2008) · British Journal Of Nutrition · doi:10.1017/s0007114508888708 · Cited by 113 · see citing works
Gene–Environment Interactions and Susceptibility to Metabolic Syndrome and Other Chronic Diseases
Ordovás, J. M., & Shen, J. (2008) · Journal of Periodontology · doi:10.1902/jop.2008.080232 · Cited by 107 · see citing works
The solid fat content of stearic acid–rich fats determines their postprandial effects
Berry, S. E., Miller, G. J., & Sanders, T. A. B. (2007) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/85.6.1486 · Cited by 101 · see citing works
Personal Metabolomics as a Next Generation Nutritional Assessment
German, J. B., Roberts, M.-A., & Watkins, S. M. (2003) · Journal of Nutrition · doi:10.1093/jn/133.12.4260 · Cited by 97 · see citing works
Self-citationMetabolomics in the Opening Decade of the 21st Century: Building the Roads to Individualized Health
German, J. B., Bauman, D. E., Burrin, D. G., Failla, M. L., Freake, H. C., King, J. C., Klein, S., Milner, J. A., Pelto, G. H., Rasmussen, K. M., et al. (2004) · Journal of Nutrition · doi:10.1093/jn/134.10.2729 · Cited by 92 · see citing works
Self-citationCohn, J. S., McNamara, J. R., Krasinski, S. D., Russell, R. M., & Schaefer, E. J. (1989) · Metabolism · doi:10.1016/0026-0495(89)90203-5 · Cited by 89 · see citing works
Cassader, M., Gambino, R., Musso, G., Depetris, N., Mecca, F., Cavallo‐Perin, P., Pacini, G., Rizzetto, M., & Pagano, G. (2001) · Lipids · doi:10.1007/s11745-001-0822-5 · Cited by 88 · see citing works
Silveira, A. M. V., Karpe, F., Johnsson, H., Bauer, K. A., & Hamsten, A. (1996) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.16.11.1333 · Cited by 88 · see citing works
Hyson, D. A., Paglieroni, T. G., Wun, T., & Rutledge, J. C. (2002) · Clinical and Applied Thrombosis/Hemostasis · doi:10.1177/107602960200800211 · Cited by 87 · see citing works
Sharrett, A. R., HEISS, G. M., Chambless, L. E., Boerwinkle, E., Coady, S., Folsom, A. R., & Patsch, W. (2001) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.21.2.275 · Cited by 87 · see citing works
Westphal, S., Taneva, E., Kästner, S., Martens‐Lobenhoffer, J., Bode‐Böger, S. M., Kropf, S., Dierkes, J., & Luley, C. H. (2005) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2005.06.004 · Cited by 86 · see citing works
Potts, J. L., Coppack, S. W., Fisher, R. M., Humphreys, S. M., Gibbons, G. F., & Frayn, K. N. (1995) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1995.268.4.e588 · Cited by 79 · see citing works
Nicolaı̈ew, N., Lemort, N., Adorni, L., Berra, B., Montorfano, G., Rapelli, S., Cortesi, N., & JACOTOT, B. (1998) · Annals of Nutrition and Metabolism · doi:10.1159/000012741 · Cited by 75 · see citing works
Individual metabolism should guide agriculture toward foods for improved health and nutrition
Watkins, S. M., Hammock, B. D., Newman, J. W. I., & German, J. B. (2001) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/74.3.283 · Cited by 74 · see citing works
Self-citationMen and Women Differ in Lipoprotein Response to Dietary Saturated Fat and Cholesterol Restriction
Li, Z., Lamon‐Fava, S., Velez‐Carrasco, W., Lichtenstein, A. H., McNamara, J. R., Ordovás, J. M., Schaefer, E. J., & Otvos, J. D. (2003) · Journal of Nutrition · doi:10.1093/jn/133.11.3428 · Cited by 67 · see citing works
Demacker, P. N. M., Hessels, M., Toenhake-Dijkstra, H., & Baadenhuijsen, H. (1997) · Clinical Chemistry · doi:10.1093/clinchem/43.4.663 · Cited by 61 · see citing works
Rivellese, A. A., Giacco, R., Annuzzi, G., De Natale, C., Patti, L., Di Marino, L., Minerva, V., Costabile, G., Santangelo, C., Masella, R., et al. (2008) · Clinical Nutrition · doi:10.1016/j.clnu.2007.07.005 · Cited by 56 · see citing works
Blackburn, P., Lamarche, B., Couillard, C., Pascot, A., Tremblay, A., Bergeron, J., Lemieux, I., & Després, J. (2003) · Diabetes Care · doi:10.2337/diacare.26.12.3303 · Cited by 52 · see citing works
Postprandial lipid metabolism in relation to coronary heart disease
Karpe, F. (1997) · Proceedings of The Nutrition Society · doi:10.1079/pns19970067 · Cited by 47 · see citing works
Weiss, E. P., Arif, H., Villareal, D. T., Marzetti, E., & Holloszy, J. O. (2008) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/88.1.51 · Cited by 46 · see citing works
Urquiaga, I., Guasch, V., Marshall, G., Martín, A. S., Castillo, O., Rozowski, J., & Leighton, F. (2004) · Biological Research · doi:10.4067/s0716-97602004000200012 · Cited by 46 · see citing works
Impact of postprandial variation in triglyceridemia on low-density lipoprotein particle size
Blackburn, P., Côté, M., Lamarche, B., Couillard, C., Pascot, A., Tremblay, A., Bergeron, J., Lemieux, I., & Després, J. (2003) · Metabolism · doi:10.1016/s0026-0495(03)00315-9 · Cited by 45 · see citing works
Krajcovicová-Kudlácková, M., Šimončič, R., Béderová, A., Grančičová, E., & Magálová, T. (1997) · Food / Nahrung · doi:10.1002/food.19970410513 · Cited by 43 · see citing works
Meal frequency; does it determine postprandial lipaemia?
Murphy, M. C., Chapman, C., Lovegrove, J. A., Isherwood, S. G., Morgan, L., Wright, J. W., & Williams, C. M. (1996) · PubMed · Cited by 42 · see citing works
Papamichael, C. M., Karatzi, K., Papaioannou, T. G., Karatzis, E. N., Katsichti, P., Sideris, V., Ζακόπουλος, Ν., Zampelas, A., & Lekakis, J. P. (2008) · Journal of Hypertension · doi:10.1097/hjh.0b013e3282f25b80 · Cited by 41 · see citing works
Effect of meal sequence on postprandial lipid, glucose and insulin responses in young men
Burdge, G. C., Jones, A. E., Frye, S., Goodson, L., & Wootton, S. A. (2003) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601722 · Cited by 38 · see citing works
Effects of Exercise at Different Times on Postprandial Lipemia and Endothelial Function
SILVESTRE, R., Kraemer, W. J., Quann, E. E., Seip, R. L., Maresh, C. M., Vingren, J. L., Hatfield, D. L., & Volek, J. S. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815c485a · Cited by 35 · see citing works
Hemostatic response to postprandial lipemia before and after exercise training
Paton, C. M., Brandauer, J., Weiss, E. P., Brown, M. D., Ivey, F. M., Roth, S. M., & Hagberg, J. M. (2006) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01363.2005 · Cited by 30 · see citing works
Chung, B.-H., Cho, B. S., Liang, P., Doran, S., Osterlund, L., Oster, R. A., Darnell, B. E., & Franklin, F. A. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.5.1145 · Cited by 28 · see citing works
Fusconi, E., Pala, V. M., Ríboli, E., Vineis, P., Sacerdote, C., Pezzo, M. D., de Magistris, M. S., Palli, D., Masala, G., Sieri, S., et al. (2003) · Tumori Journal · doi:10.1177/030089160308900606 · Cited by 28 · see citing works
Tegner, J. N., Skogsberg, J., & Björkegren, J. (2006) · Journal of Lipid Research · doi:10.1194/jlr.r600030-jlr200 · Cited by 26 · see citing works
Higashi, K., Shige, H., Ito, T., Nakajima, K., Ishikawa, T., Nakamura, H., & Ohsuzu, F. (2001) · Lipids · doi:10.1007/s11745-001-0660-5 · Cited by 25 · see citing works
Building the bridges to bioinformatics in nutrition research
Lemay, D. G., Zivkovic, A. M., & German, J. B. (2007) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/86.5.1261 · Cited by 23 · see citing works
Self-citationPostprandial Endothelial Impairment and Reduced Glutathione Levels in Postmenopausal Women
Siepi, D., Marchesi, S., Lupattelli, G., Paltriccia, R., Vaudo, G., Pirro, M., Roscini, A. R., Scarponi, A., Sinzinger, H. F., & Mannarino, E. (2002) · Annals of Nutrition and Metabolism · doi:10.1159/000046750 · Cited by 10 · see citing works
Scaglioni, S., Veduci, E., Agostoni, C. V., Vergani, B., Stival, G., Riva, E., & Giovannini, M. (2004) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2004.01.002 · Cited by 8 · see citing works
[The plasma profile of fatty acids in vegetarians].
Krajcovicová-Kudlácková, M., Šimončič, R., Klvanová, J., Béderová, A., Babinská, K., & Grančičová, E. (1997) · PubMed · Cited by 3 · see citing works
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Pujos-Guillot, E., Hubert, J., Martin, J.-F., Lyan, B., Quintana, M., Claude, S., Chabanas, B., Rothwell, J. A., Bennetau-Pelissero, C., Scalbert, A., et al. (2013) · Journal of Proteome Research · doi:10.1021/pr300997c · Cited by 166 · 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
Self-citationPellis, L., van Erk, M. J., van Ommen, B., Bakker, G. C. M., Hendriks, H., Cnubben, N. H. P., Kleemann, R., van Someren, E. P., Bobeldijk, I., Rubingh, C. M., et al. (2011) · Metabolomics · doi:10.1007/s11306-011-0320-5 · Cited by 145 · see citing works
Lipidomic data analysis: Tutorial, practical guidelines and applications
Checa, A., Bedia, C., & Jaumot, J. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.02.068 · Cited by 126 · see citing works
Lampe, J. W., Navarro, S. L., Hullar, M. A. J., & Shojaie, A. (2013) · Proceedings of The Nutrition Society · doi:10.1017/s0029665113000025 · Cited by 105 · see citing works
Optimizing the lipidomics workflow for clinical studies—practical considerations
Hyötyläinen, T., & Orešič, M. (2015) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-015-8633-2 · Cited by 92 · see citing works
Nutrigenomics and Personalized Diets: What Will They Mean for Food?
German, J. B., Zivkovic, A. M., Dallas, D. C., & Smilowitz, J. T. (2011) · Annual Review of Food Science and Technology · doi:10.1146/annurev.food.102308.124147 · Cited by 90 · see citing works
Self-citationMetabolomics for assessment of nutritional status
Zivkovic, A. M., & German, J. B. (2009) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0b013e32832f1916 · Cited by 67 · see citing works
Self-citationGouveia-Figueira, S. C., Späth, J., Zivkovic, A. M., & Nording, M. L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132042 · Cited by 63 · see citing works
Self-citationGürdeniz, G., Kristensen, M., Skov, T., & Dragsted, L. O. (2012) · Metabolites · doi:10.3390/metabo2010077 · Cited by 61 · see citing works
Nutritional lipidomics: Molecular metabolism, analytics, and diagnostics
Smilowitz, J. T., Zivkovic, A. M., Wan, Y. Y., Watkins, S. M., Nording, M. L., Hammock, B. D., & German, J. B. (2013) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201200808 · Cited by 61 · see citing works
Self-citationKhadka, M., Todor, A., Maner-Smith, K. M., Colucci, J. K., Tran, V., Gaul, D. A., Anderson, E. J., Natrajan, M. S., Rouphael, N., Mulligan, M. J., et al. (2019) · Biomolecules · doi:10.3390/biom9050200 · Cited by 56 · see citing works
Brauer, R., Leichtle, A. B., Fiedler, M., Thiery, J., & Ceglarek, U. (2010) · Metabolomics · doi:10.1007/s11306-010-0256-1 · Cited by 54 · see citing works
Satizábal, C. L., Samieri, C., Davis‐Plourde, K. L., Voetsch, B., Aparicio, H. J., Pase, M. P., Romero, J. R., Helmer, C., Vasan, R. S., Kase, C. S., et al. (2018) · Stroke · doi:10.1161/strokeaha.118.022132 · Cited by 48 · see citing works
Impact of nutrient overload on metabolic homeostasis
Qiu, H., & Schlegel, V. L. (2018) · Nutrition Reviews · doi:10.1093/nutrit/nuy023 · Cited by 48 · see citing works
Metabolome and fecal microbiota in monozygotic twin pairs discordant for weight: a Big Mac challenge
Bondia‐Pons, I., Maukonen, J., Mattila, I. M., Rissanen, A., Saarela, M., Kaprio, J. A., Hakkarainen, A., Lundbom, J., Lundbom, N. M. I., Hyötyläinen, T., et al. (2014) · The FASEB Journal · doi:10.1096/fj.14-250167 · Cited by 44 · see citing works
Lehtonen, H.-M., Lindstedt, A., Järvinen, R., Sinkkonen, J., Graça, G., Viitanen, M., Kallio, H., & Gil, A. M. (2013) · Food Chemistry · doi:10.1016/j.foodchem.2012.10.081 · Cited by 36 · see citing works
Ladva, C. N., Golan, R., Greenwald, R., Yu, T., Sarnat, S. E., Flanders, W. D., Uppal, K., Walker, D. I., Tran, V., Liang, D., et al. (2017) · Journal of Breath Research · doi:10.1088/1752-7163/aa863c · Cited by 40 · see citing works
Nutrigenomics: An inimitable interaction amid genomics, nutrition and health
Mishra, U. N., Jena, D., Sahu, C., Devi, R., Kumar, R., Jena, R., Irondi, E. A., Rout, S., Tiwari, R. K., Lal, M. K., et al. (2022) · Innovative Food Science & Emerging Technologies · doi:10.1016/j.ifset.2022.103196 · Cited by 39 · see citing works
Bioanalytical Techniques in Nontargeted Clinical Lipidomics
Hyötyläinen, T., & Orešič, M. (2016) · Bioanalysis · doi:10.4155/bio.15.244 · Cited by 37 · see citing works
Zhang, W., Song, Y., Chai, T., Liao, G., Zhang, L., Jia, Q., Qian, Y., & Qiu, J. Y. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.136565 · Cited by 38 · see citing works
21st century toolkit for optimizing population health through precision nutrition
O'Sullivan, A., Henrick, B., Dixon, B., Barile, D., Zivkovic, A., Smilowitz, J., Lemay, D., Martin, W., German, J. B., & Schaefer, S. E. (2018) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2017.1348335 · Cited by 36 · see citing works
Self-citationWithin-person variation in the postprandial lipemic response of healthy adults
Ryan, M. F., Grada, C. O., Morris, C., Segurado, R., Walsh, M. C., Gibney, E. R., Brennan, L., Roche, H. M., & Gibney, M. J. (2013) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.047936 · Cited by 34 · see citing works
Karimpour, M., Surowiec, I., Wu, J., Gouveia-Figueira, S. C., Pinto, R. C., Trygg, J., Zivkovic, A. M., & Nording, M. L. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.12.009 · Cited by 33 · see citing works
Self-citationAnalyzing metabolomics-based challenge tests
Vis, D., Westerhuis, J., Jacobs, D., van Duynhoven, J. V., Wopereis, S., van Ommen, B., Hendriks, M., & Smilde, A. (2015) · Metabolomics · doi:10.1007/s11306-014-0673-7 · Cited by 24 · see citing works
Weingärtner, O., Bogeski, I., Kummerow, C., Schirmer, S. H., Husche, C., Vanmierlo, T., Wagenpfeil, G., Hoth, M., Böhm, M., Lütjohann, D., et al. (2016) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2016.07.016 · Cited by 31 · see citing works
Lipidomics, Biomarkers, and Schizophrenia: A Current Perspective
Sethi, S., Hayashi, M. A. F., Correia, B. S. B., Pontes, J. G. D. M., Tasić, L., & Brietzke, E. M. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-47656-8_11 · Cited by 29 · see citing works
Wearable Technology to Quantify the Nutritional Intake of Adults: Validation Study
Dimitratos, S. M., German, J. B., & Schaefer, S. E. (2020) · JMIR mHealth and uHealth · doi:10.2196/16405 · Cited by 27 · see citing works
Self-citationKrishnan, S., Newman, J. W. I., Hembrooke, T. A., & Keim, N. L. (2012) · Nutrition & Metabolism · doi:10.1186/1743-7075-9-26 · Cited by 26 · see citing works
Wahl, S., Krug, S., Then, C., Kirchhofer, A., Kastenmüller, G., Brand, T., Skurk, T., Claussnitzer, M., Huth, C., Heier, M., et al. (2013) · Metabolomics · doi:10.1007/s11306-013-0586-x · Cited by 24 · see citing works
Hong, B. V., Agus, J., Tang, X., Zheng, J. J., Romo, E. Z., Lei, S., & Zivkovic, A. M. (2023) · Current Atherosclerosis Reports · doi:10.1007/s11883-023-01148-5 · Cited by 23 · see citing works
Self-citationPlasma metabolomics reveals lower carnitine concentrations in overweight Labrador Retriever dogs
Söder, J., Höglund, K., Dicksved, J., Hagman, R., Röhnisch, H. E., Moazzami, A. A., & Wernersson, S. (2019) · Acta veterinaria Scandinavica · doi:10.1186/s13028-019-0446-4 · Cited by 21 · see citing works
Hu, X., Zhang, W., Chi, X., Wang, H., Liu, Z., Wang, Y., Ma, L., & Xu, B. (2021) · Developmental Biology · doi:10.1016/j.ydbio.2021.07.016 · Cited by 21 · see citing works
Dynamic patterns of postprandial metabolic responses to three dietary challenges
Weinisch, P., Fiamoncini, J., Schranner, D., Raffler, J., Skurk, T., Rist, M. J., Römisch‐Margl, W., Prehn, C. P., Adamski, J., Hauner, H., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.933526 · Cited by 21 · see citing works
Čajka, T., Davis, R., Austin, K. J., Newman, J. W. I., German, J. B., Fiehn, O., & Smilowitz, J. T. (2016) · Metabolomics · doi:10.1007/s11306-016-1075-9 · Cited by 20 · see citing works
Self-citationOstermann, A. I., Greupner, T., Kutzner, L., Hartung, N. M., Hahn, A., Schuchardt, J. P., & Schebb, N. H. (2018) · Analytical Methods · doi:10.1039/c8ay01753k · Cited by 19 · see citing works
Meijer, J. L., Singer, K., & Burant, C. (2021) · Journal of Nutrition · doi:10.1093/jn/nxab223 · Cited by 18 · see citing works
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Oh, T. J., Kim, M. Y., Park, K. S., & Cho, Y. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042352 · Cited by 17 · see citing works
Glycerophospholipids in ALS: insights into disease mechanisms and clinical implication
Burg, T., & Bosch, L. V. D. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00876-3 · Cited by 15 · see citing works
Intestinal passage of microencapsulated fish oil in rats following oral administration
Augustin, M. A., Patten, G. S., Luca, A. D., Abeywardena, M. Y., Lockett, T. J., Head, R. J., & Sanguansri, L. (2011) · Food & Function · doi:10.1039/c1fo10149h · Cited by 15 · see citing works
Rideout, T. C. (2010) · Current Opinion in Lipidology · doi:10.1097/mol.0b013e3283414e71 · Cited by 14 · see citing works
Recreational football practice attenuates postprandial lipaemia in normal and overweight individuals
Paul, D. J., Bangsbo, J., & Nassis, G. P. (2017) · European Journal of Applied Physiology · doi:10.1007/s00421-017-3766-y · Cited by 11 · see citing works
Effects of stimulation technique, anatomical region, and time on human sweat lipid mediator profiles
Agrawal, K., Waller, J. D., Pedersen, T. L., & Newman, J. W. (2018) · Prostaglandins & Other Lipid Mediators · doi:10.1016/j.prostaglandins.2017.09.007 · Cited by 10 · see citing works
Using metabolomics to evaluate food intake
Manach, C., Brennan, L., & Dragsted, L. O. (2014) · Elsevier eBooks · doi:10.1016/b978-1-78242-084-2.00009-5 · Cited by 10 · see citing works
Characterizing human postprandial metabolic response using multiway data analysis
Yan, S., Li, L., Horner, D. A., Ebrahimi, P., Chawes, B., Dragsted, L. O., Rasmussen, M. A., Smilde, A. K., & Acar, E. (2024) · Metabolomics · doi:10.1007/s11306-024-02109-y · Cited by 7 · see citing works
Pujos‐Guillot, E., Brandolini-Bunlon, M., Fouillet, H., Joly, C., Martin, J., Huneau, J., Dardevet, D. P., & Mariotti, F. (2018) · Journal of Nutrition · doi:10.1093/jn/nxy049 · Cited by 6 · see citing works
Li, L., Yan, S., Horner, D. A., Rasmussen, M. A., Smilde, A. K., & Acar, E. (2024) · Metabolomics · doi:10.1007/s11306-024-02128-9 · Cited by 6 · see citing works
A preliminary report on oral fat tolerance test in rhesus monkeys
Wu, D., Liu, Q., Wei, S., Zhang, Y. A., & Yue, F. (2014) · Lipids in Health and Disease · doi:10.1186/1476-511x-13-11 · Cited by 6 · see citing works
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Smilowitz, J. T., German, J. B., & Zivkovic, A. M. (2010) · Cited by 5 · see citing works
Self-citationMetabolomics in Systems Toxicology: Towards Personalized Medicine
Schnackenberg, L. K., Sun, J., & Beger, R. D. (2009) · General, Applied and Systems Toxicology · doi:10.1002/9780470744307.gat217 · Cited by 5 · see citing works
Influence of diet and nutrition
German, J. B. (2013) · doi:10.4155/ebo.13.494 · Cited by 4 · see citing works
Self-citationMilburn, M., Ryals, J. A., & Guo, L. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-803620-4.00033-5 · Cited by 3 · see citing works
Oxylipins in human plasma – method development and dietary effects on levels
Späth, J. (2014) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 2 · see citing works
Milburn, M. V., Ryals, J. A., & Guo, L. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-387815-1.00034-4 · Cited by 1 · see citing works
Metabolomics and nutritional challenge tests
Brennan, L. (2014) · Elsevier eBooks · doi:10.1016/b978-1-78242-084-2.00010-1 · Cited by 1 · see citing works
Lampe, J. W., Navarro, S. L., Hullar, M. A. J., & Shojaie, A. (2013)
Phenotypic and genotypic determinants of postprandial lipaemic response variation in healthy adults
Ryan, M. F., Morris, C., O’Grada, C. M., Walsh, M. C., Gibney, E. R., Brennan, L., Roche, H. M., & Gibney, M. J. (2012) · Proceedings of The Nutrition Society · doi:10.1017/s0029665112002418
Mass Spectrometry, Diet and Cardiovascular Disease: What will They Mean for Food?
German, J. B. (2010) · Royal Society of Chemistry eBooks · doi:10.1039/9781849730921-00244
Self-citationSmilowitz, J. T., German, J. B., & Zivkovic, A. M. (2009) · Frontiers in neuroscience · doi:10.1201/9781420067767-c22
Self-citationTechnological Impact on Nutrition Management of Adults
Vetrivel, S. C., Sabareeshwari, V., Ambikapathi, R., Arun, V. P., & Sowmiya, K. C. (2025) · doi:10.1002/9781394275397.ch7
- Authors
- Zivkovic, A. M., Wiest, M. M., Nguyen, U., Nording, M. L., Watkins, S. M., & German, J. B.
- Affiliations
- University of California, Davis (US)
- Nestlé (Switzerland) (CH)
- Corresponding author
- German, J. Bruce
- Venue
- Metabolomics
- Published
- 2008-11-15
- Volume
- 5
- Issue
- 2
- Pages
- 209-218
- ISSN
- 1573-3882 (ISSN-L)
- 1573-3890
- PMC
- PMC2862503
- OpenAlex
- W2008412692
- Cited by
- 63
- References
- 54
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 2 · 2018: 4 · 2017: 5 · 2016: 5 · 2015: 4 · 2014: 7 · 2013: 8 · 2012: 6
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Metabolomics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- reroDoc Digital Library (submittedVersion)
- Funders
- National Institute of Environmental Health Sciences (P42ES004699, R37ES002710, P01ES011269)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Keywords
- postprandial lipid metabolism, plasma fatty acids, triglycerides, phosphatidylcholine, lipoprotein fractions, apolipoprotein B, interindividual variability, within-person variability, targeted metabolomics, metabolic dysfunction
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