Lipidomics in nutrition and food research

Molecular Nutrition and Food Research

Volumn 57, Issue 8, 2013, Pages 1306-1318

  Hyötyläinen, Tuulia ^a   Bondia Pons, Isabel ^a   Orešič, Matej ^a  

^a VTT TECHNICAL RESEARCH CENTRE OF FINLAND   (Finland)

Author keywords

Lipid metabolism; Lipidomics; MS; Nutrigenomics; Personalized medicine

Indexed keywords

LIPID;

CHEMISTRY; DIET; FOOD; FOOD QUALITY; HUMAN; LIPID METABOLISM; LIPIDOMICS; MULTIPLE SCLEROSIS; NUTRIGENOMICS; NUTRITIONAL SCIENCE; PERSONALIZED MEDICINE; REVIEW;

LIPID METABOLISM; LIPIDOMICS; MS; NUTRIGENOMICS; PERSONALIZED MEDICINE;

DIET; FOOD; FOOD QUALITY; HUMANS; LIPID METABOLISM; LIPIDS; NUTRITIONAL SCIENCES;

EID: 84881317979     PISSN: 16134125     EISSN: 16134133     Source Type: Journal    
DOI: 10.1002/mnfr.201200759     Document Type: Review

References (109)

1. Yetukuri, L., Ekroos, K., Vidal-Puig, A., Orešič, M., Informatics and computational strategies for the study of lipids. Mol. BioSyst. 2008, 4, 121-127.
2. Fahy, E., Subramaniam, S., Brown, H. A., Glass, C. K. et al., A comprehensive classification system for lipids. J. Lipid Res. 2005, 46, 839-862.
3. Simopoulos, A. P., Human requirement for N-3 polyunsaturated fatty acids. Poult. Sci. 2000, 79, 961-970.
4. Wenk, M. R., The emerging field of lipidomics. Nat. Rev. Drug Discov. 2005, 4, 594-610.
5. Orešič, M., Metabolomics, a novel tool for studies of nutrition, metabolism and lipid dysfunction. Nutr. Metab. Cardiovas. Dis. 2009, 19, 816-824.
6. Dennis, E. A., Lipidomics joins the omics evolution. Proc. Nat. Acad. Sci. USA 2009, 106, 2089-2090.
7. Chait, B. T., Mass spectrometry in the postgenomic era. Annu. Rev. Biochem. 2011, 80, 239-246.
8. Jung, H. R., Sylvänne, T., Koistinen, K. M., Tarasov, K. et al., High throughput quantitative molecular lipidomics. BBA-Mol. Cell Biol. Lip. 2011, 1811, 925-934.
9. Sandra, K., Pereira, S., Vanhoenacker, G., David, F. et al., Comprehensive blood plasma lipidomics by liquid chromatography/quadrupole time-of-flight mass spectrometry. J. Chromatogr. A 2010, 1217, 4087-4099.
10. Han, X., Gross, R. W., Shotgun lipidomics, multidimensional MS analysis of cellular lipidomes. Expert Rev. Proteomics 2005, 2, 253-264.
11. Ståhlman, M., Ejsing, C. S., Tarasov, K., Perman, J. et al., High-throughput shotgun lipidomics by quadrupole time-of-flight mass spectrometry. J. Chromatogr. B. 2009, 877, 2664-2672.
12. Niemelä, P. S., Castillo, S., Sysi-Aho, M., Orešič, M., Bioinformatics and computational methods for lipidomics. J. Chromatogr. B. 2009, 877, 2855-2862.
13. Song, H., Ladenson, J., Turk, J., Algorithms for automatic processing of data from mass spectrometric analyses of lipids. J. Chromatogr. B. 2009, 877, 2847-2854.
14. Orešič, M., Informatics and computational strategies for the study of lipids. BBA-Mol. Cell Biol. Lip. 2011, 1811, 991-999.
15. Gross, R., Han, X., Lipidomics at the interface of structure and function in systems biology. Chem. Biol. 2011, 18, 284-291.
16. Moco, S., Vervoort, J., Moco, S., Bino, R. J. et al., Metabolomics technologies and metabolite identification. TrAC 2007, 26, 855-866.
17. Metz, T. O., Zhang, Q., Page, J. S., Shen, Y. et al., The future of liquid chromatography-mass spectrometry (LC-MS) in metabolic profiling and metabolomic studies for biomarker discovery. Biomark Med. 2007, 1, 159-185.
18. Yang, B., Zhang, A., Sun, H., Dong, W. et al., Metabolomic study of insomnia and intervention effects of Suanzaoren decoction using ultra-performance liquid chromatography/electrospray-ionization synapt high-definition mass spectrometry. J. Pharm. Biomed. Anal. 2012, 58, 113-124.
19. Nygren, H., Seppänen-Laakso, T., Castillo, S., Hyötyläinen, T. et al., Liquid chromatography-mass spectrometry LC-MS-based lipidomics for studies of body fluids and tissues. Meth. Mol. Biol. 2011, 708, 247-257.
20. Ivanova, P. T., Milne, S. B., Myers, D. S., Brown, H. A., Lipidomics: a mass spectrometry based, systems level analysis of cellular lipids. Curr. Opin. Chem. Biol. 2009, 13, 525-531.
21. Balazy, M., Eicosanomics: targeted lipidomics of eicosanoids in biological systems. Prostaglandins Other Lip. Mediat. 2004, 173-180.
22. Bobeldijk, I., Hekman, M., de Vries-van der Weij, J., Coulier, L., Quantitative profiling of bile acids in biofluids and tissues based on accurate mass high resolution LC-FT-MS: compound class targeting in a metabolomics workflow. J. Chromatogr. B. Analyt. Technol. Biomed. Life Sci. 2008, 871, 306-313.
23. Roberts, L. D., McCombie, G., Titman, C. M., Griffin, J. L., A matter of fat: an introduction to lipidomic profiling methods. J. Chromatogr. B. Analyt. Technol. Biomed. Life Sci. 2008, 871, 174-181.
24. McDonald, J. G., Matthew, S., Auchus, R. J., Steroid profiling by gas chromatography-mass spectrometry and high performance liquid chromatography-mass spectrometry for adrenal diseases. Horm. Cancer 2011, 2, 324-332.
25. Kliman, M., May, J. C., McLean, J. A., Lipid analysis and lipidomics by structurally selective ion mobility-mass spectrometry. BBA-Mol. Cell Biol. Lip. 2011 1811, 935-945.
26. Guo, X., Lankmayr, E., Multidimensional approaches in LC and MS for phospholipid bioanalysis. Bioanalysis 2010, 2, 1109-1123.
27. Jackson, S. N., Ugarov, M., Post, J. D., Egan, T. et al., A study of phospholipids by ion mobility TOFMS. J. Am. Soc. Mass Spectr. 2008, 19, 1655-1662.
28. Kim, H. I., Kim, H., Pang, E. S., Ryu, E. K. et al., Structural characterization of unsaturated phosphatidylcholines using traveling wave ion mobility spectrometry. Anal. Chem. 2009, 81, 8289-8297.
29. Trimpin, S., Tan, B., Bohrer, B. C., O'Dell, D. K. et al., Profiling of phospholipids and related lipid structures using multidimensional ion mobility spectrometry-mass spectrometry. Int. J. Mass Spectrom. 2009, 287, 58-69.
30. Ridenour, W. B., Kliman, M., McLean, J. A., Caprioli, R. M., Structural characterization of phospholipids and peptides directly from tissue sections by MALDI traveling-wave ion mobility-mass spectrometry. Anal. Chem. 2010, 82, 1881-1889.
31. Woods, A. S., Jackson, S. N., The application and potential of ion mobility mass spectrometry in imaging MS with a focus on lipids. Meth. Mol. Biol. 2010, 656, 99-111.
32. Goto-Inoue, N., Hayasaka, T., Zaima, N., Setou, M., Imaging mass spectrometry for lipidomics. BBA-Mol. Cell Biol. Lip. 2011, 1811, 961-969.
33. Van der Spoel, D., Marklund, E. G., Larsson, D. S., Caleman, C., Proteins, lipids, and water in the gas phase. Macromol. Biosci. 2011, 11, 50-59.
34. Katajamaa, M., Orešič, M., Data processing for mass spectrometry-based metabolomics. J. Chromatogr. A. 2007, 1158, 318-328.
35. Sumner, L. W., Urbanczyk-Wochniak, E., Broeckling, C. D., Metabolomics data analysis, visualization, and integration. Meth. Molec. Biol. 2007, 406, 409-436.
36. Junker, B. H., Klukas, C., Schreiber, F., VANTED: a system for advanced data analysis and visualization in the context of biological networks. BMC Bioinformatics 2006, 7, 109.
37. Byrnes, R. W., Cotter, D., Maer, A., Li, J. et al., An editor for pathway drawing and data visualization in the Biopathways Workbench. BMC Syst. Biol. 2009, 3, 99.
38. Wheelock, C. E., Goto, S., Yetukuri, L., D'Alexandri, F. L. et al., Bioinformatics strategies for the analysis of lipids. Meth. Mol. Biol. 2009, 580, 339-368.
39. Quehenberger, O., Dennis, E. A., The human plasma lipidome. N. Engl. J. Med. 2011, 365, 1812-1823.
40. Oresic, M., Hänninen, V. A., Vidal-Puig, A., Trends Biotechnol. 2008, 12, 647-652.
41. Gupta, S., Maurya, M. R., Merrill, A. H., Glass, C. K. et al., Integration of lipidomics and transcriptomics data towards a systems biology model of sphingolipid metabolism. BMC Syst. Biol. 2011, 5, 26.
42. Yetukuri, L., Katajamaa, M., Medina-Gomez, G., Seppänen-Laakso, T. et al., Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosis. BMC Syst. Biol. 2007, 1, 12.
43. Qi, L., Gene-diet interactions in complex disease: current findings and relevance for public health. Curr. Nutr. Rep. 2012, 1, 222-227.
44. Stella, C., Beckwith-Hall, B., Cloarec, O., Holmes, E. et al., Susceptibility of human metabolic phenotypes to dietary modulation. J. Proteome Res. 2006, 5, 2780-2788.
45. Shaham, O., Wei, R., Wang, T. J., Ricciardi, C. et al., Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity. Molec. Syst. Biol. 2008, 4, 1-9.
46. Wopereis, S., Rubingh, C. M., van Erk, M. J., Verheij, E. R. et al., Metabolic profiling of the response to an oral glucose tolerance test detects subtle metabolic changes. PLoS One 2009, 4, e4525.
47. Rubio-Aliaga, I., de Roos, B., Duthie, S. J., Crosley, L. K. et al., Metabolomics of prolonged fasting in humans reveals new catabolic markers. Metabolomics 2011, 7, 375-387.
48. Krug, S., Kastenmüller, G., Stückler, F., Rist, M. J. et al., The dynamic range of the human metabolome revealed by challenges. FASEB J. 2012, 26, 2607-2619.
49. Lankinen, M., Schwab, U., Erkkilä, A., Seppänen-Laakso, T. et al., Fatty fish intake decreases lipids related to inflammation and insulin signaling. A lipidomics approach. PLoS One 2009, 4, e5258.
50. Schwab, U., Seppänen-Laakso, T., Yetukuri, L., Agren, J. et al., Triacylglycerol fatty acid composition in diet-induced weight loss in subjects with abnormal glucose metabolism-the GENOBIN Study. PLoS One 2008, 3, e2630.
51. Aiyar, N., Disa, J., Ao, Z., Ju, H. et al., Lysophosphatidylcholine induces inflammatory activation of human coronary artery smooth muscle cells. Mol. Cell Biochem. 2007, 295, 113-120.
52. de Mello, V., Erkkilä, A., Schwab, U., Pulkkinen, L. et al., The effect of fatty or lean fish intake on inflammatory gene expression in peripheral blood mononuclear cells of patients with coronary heart disease. Eur. J. Nutr. 2009, 48, 447-455.
53. Szymańska, E., van Dorsten, F. A., Troost, J., Paliukhovich, I. et al., A lipidomic analysis approach to evaluate the response to cholesterol-lowering food intake. Metabolomics 2012, 8, 894-906.
54. De Smet, E., Mensink, R. P., Plat, J., Effects of plant sterols and stanols on intestinal cholesterol metabolism: suggested mechanisms from past to present. Mol. Nutr. Food Res. 2012, 56, 1058-1072.
55. Noakes, M., Clifton, P. M., Doornbos, A. M., Trautwein, E. A., Plant sterol ester-enriched milk and yoghurt effectively reduce serum cholesterol in modestly hypercholesterolemic subjects. Eur. J. Nutr. 2005, 44, 214-222.
56. Kekkonen, R. A., Sysi-Aho, M., Seppanen-Laakso, T., Julkunen, I. et al., Effect of probiotic Lactobacillus rhamnosus GG intervention on global serum lipidomic profiles in healthy adults. World J. Gastroenterol. 2008, 14, 3188-3194.
57. Ng, S. C., Hart, A. L., Kamm, M. A., Stagg, A. J. et al., Mechanisms of action of probiotics: recent advances. Inflamm. Bowel Dis. 2009, 15, 300-310.
58. Huffman, K. M., Redman, L. M., Landerman, L. R., Pieper, C. F. et al., Caloric restriction alters the metabolic response to a mixed-meal: results from a randomized, controlled trial. PLoS One 2012, 7, e28190.
59. Pietiläinen, K. H., Sysi-Aho, M., Rissanen, A., Seppänen-Laakso, T. et al., Acquired obesity is associated with changes in the serum lipidomic profile independent of genetic effects. A monozygotic twin study. PLoS ONE 2007, 2, e218.
60. Yan, S., Chai, H., Wang, H., Yang, H. et al., Effects of lysophosphatidylcholine on monolayer cell permeability of human coronary artery endothelial cells. Surgery 2005, 138, 464-473.
61. Engelmann, B., Plasmalogens: targets for oxidants and major lipophilic antioxidants. Bioch. Soc. Trans. 2004, 32, 147-150.
62. Pietiläinen, K. H., Róg, T., Seppänen-Laakso, T., Virtue, S. et al., Association of lipidome remodeling in the adipocyte membrane with acquired obesity in humans. PLoS Biol. 2011, 9, e1000623.
63. Karelis, A. D., Metabolically healthy but obese individuals. Lancet 2008, 372, 1281-1283.
64. Barber, M. N., Risis, S., Yang, C., Meikle, P. J. et al., Plasma lysophosphatidylcholine levels are reduced in obesity and type 2 diabetes. PLoS One 2012, 7, e41456.
65. Han, M. S., Lim, Y. M., Quan, W., Kim, J. R. et al., Lysophosphatidylcholine as an effector of fatty acid-induced insulin resistance. J. Lipid Res. 2011, 52, 1234-1246.
66. Yea, K., Kim, J., Yoon, J. H., Kwon, T. et al., Lysophosphatidylcholine activates adipocyte glucose uptake and lowers blood glucose levels in murine models of diabetes. J. Biol. Chem. 2009, 284, 33833-33840.
67. Caesar, R., Manieri, M., Kelder, T., Boekschoten, M. et al., A combined transcriptomics and lipidomics analysis of subcutaneous, epididymal and mesenteric adipose tissue reveals marked functional differences. PLoS One 2010, 5, e1525.
68. Wopereis, S., Radonjic, M., Rubingh, C., van Erk, M. et al., Identification of prognostic and diagnostic biomarkers of glucose intolerance in ApoE3Leiden mice. Phys. Genom. 2012, 44, 293-304.
69. Huss, J. M., Kelly, D. P., Mitochondrial energy metabolism in heart failure, a question of balance. J. Clin. Invest. 2005, 115, 547-555.
70. Kinsey, G. R., McHowat, J., Beckett, C. S., Schnellmann, R.G., Identification of calcium-independent phospholipase A2γ in mitochondria and its role in mitochondrial oxidative stress. Am. J. Phys. Renal Physiol. 2007, 292, F853-F860.
71. Gadd, M. E., Broekemeier, K. M., Crouser, E. D., Kumar, J. et al., Mitochondrial iPLA2 activity modulates the release of cytochrome C from mitochondria and influences the permeability transition. J. Biol. Chem. 2006, 281, 6931-6939.
72. Mancuso, D. J., Sims, H. F., Yang, K., Kiebish, M. A. et al., Genetic ablation of calcium-independent phospholipase A2gamma prevents obesity and insulin resistance during high fat feeding by mitochondrial uncoupling and increased adipocyte fatty acid oxidation. J. Biol. Chem. 2010, 285, 36495-36510.
73. Han, X., Yang, K., Yang, J., Cheng, H. et al., Shotgun lipidomics of cardiolipin molecular species in lipid extracts of biological samples. J. Lipid Res. 2006, 47, 864-879.
74. Xu, H., Barnes, G. T., Yang, Q., Tan, G. et al., Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J. Clin. Invest. 2003, 112, 1821-1830.
75. Lu, M., Patsouris, D., Li, P., Flores-Riveros, J. et al., A new antidiabetic compound attenuates inflammation and insulin resistance in Zucker diabetic fatty rats. Am. J. Physiol. Endocrinol. Metab. 2010, 298, E1036-E1048.
76. Carlsten, H., Immune responses and bone loss, the estrogen connection. Immunol. Rev. 2005, 208, 194-206.
77. Serhan, C. N., Lipoxins and aspirin-triggered 15-epi-lipoxins are the first lipid mediators of endogenous anti-inflammation and resolution. Prostaglandins, Leukot. Essent. Fatty Acids 2005, 73, 141-162.
78. Poulsen, R. C., Gotlinger, K. H., Serhan, C. N., Kruger, M. C., Identification of inflammatory and proresolving lipid mediators in bone marrow and their lipidomic profiles with ovariectomy and omega-3 intake. AJM 2008, 83, 437-445.
79. Hibbeln, J. R., Depression, suicide and deficiencies of omega-3 essential fatty acids in modern diets. World Rev. Nutr. Dietetics 2009, 99, 17-30.
80. Morris, M. C., The role of nutrition in Alzheimer's disease, epidemiological evidence. Eur. J. Neurol. 2009, 16, 1-7.
81. Lamaziere, A., Richard, D., Barbe, U., Kefi, K. et al., Differential distribution of DHA-phospholipids in rat brain after feeding: a lipidomic approach. Prostaglandins, Leukot. Essent. Fatty Acids 2011, 84, 7-11.
82. Bazan, N. G., Musto, A. E., Knott, E. J., Endogenous signaling by omega-3 docosahexaenoic acid-derived mediators sustains homeostatic synaptic and circuitry integrity. Mol. Neurobiol. 2011, 44, 216-222.
83. Brand, A., Crawford, M. A., Yavin, E., Retailoring docosahexaenoic acid-containing phospholipid species during impaired neurogenesis following omega-3 -linolenic acid deprivation. J. Neurochem. 2010, 114, 1393-1404.
84. Srinath, R. K., Katan, M. B., Diet, nutrition and the prevention of hypertension and cardiovascular diseases. Pub. Health Nutr. 2004, 7, 167-186.
85. Dutro, M. P., Gerthoffer, T. D., Peterson, E. D., Tang, S. S. K. et al., Treatment of hypertension and dyslipidemia or their combination among US managed-care patients. J. Clin. Hypertens. 2007, 9, 684-691.
86. Hu, C., Kong, H., Qu, F., Li, Y. et al., Application of plasma lipidomics in studying the response of patients with essential hypertension to antihypertensive drug therapy. Mol. BioSystems. 2011, 7, 3271-3279.
87. Griffiths, W. J., Wang, Y., Mass spectrometry: from proteomics to metabolomics and lipidomics. Chem. Soc. Rev. 200, 938, 1882-1896.
88. Clugston, R. D., Jiang, H., Lee, M. X., Piantedosi, R. et al., Altered hepatic lipid metabolism in C57BL/6 mice fed alcohol, a targeted lipidomic and gene expression study. J Lipid Res. 2011, 52, 2021-2031.
89. Bird, S. S., Marur, V. R., Sniatynski, M. J., Greenberg, H. K. et al., Lipidomics profiling by high-resolution LCMS and high-energy collisional dissociation fragmentation, focus on characterization of mitochondrial cardiolipins and monolysocardiolipins. Anal. Chem. 2011, 83, 940-949.
90. Hilvo, M., Orešič, M., Regulation of lipid metabolism in breast cancer provides diagnostic and therapeutic opportunities. Clin. Lipidol. 2012, 7, 177-188.
91. Hilvo, M., Denkert, C., Lehtinen, L., Müller, B. et al., Novel theranostic opportunities offered by characterization of altered membrane lipid metabolism in breast cancer progression. Cancer Res. 2011, 71, 3236-3245.
92. Marshall, J. R., Nutrition and colon cancer prevention. Curr. Opin. Clin. Nutr. Metab. Care 2009, 12, 539-543.
93. Yeh, C., Wang, J., Cheng, T., Juan, C. et al., Fatty acid metabolism pathway plays an important role in carcinogenesis of human colorectal cancers by microarray-bioinformatics analysis. Cancer Lett. 2006, 233, 297-308.
94. Punnen, S., Hardin, J., Cheng, I., Klein, E. A. et al., Impact of meat consumption, preparation, and mutagens on aggressive prostate cancer. PLoS One 2011, 6, e27711.
95. Luci, S., König, B., Giemsa, B., Huber, S. et al., Feeding of a deep-fried fat causes PPARalpha activation in the liver of pigs as a non-proliferating species. Br. J. Nutr. 2007, 97, 872-882.
96. Chapkin, R. S., Davidson, L. A., Ly, L., Weeks, B. R. et al., Immunomodulatory effects of n-3 fatty acids, putative link to inflammation and colon cancer. J. Nutr. 2007, 137, 200S-204S.
97. Scharlau, D., Borowicki, A., Habermann, N., Hofmann, T. et al., Mechanisms of primary cancer prevention by butyrate and other products formed during gut flora-mediated fermentation of dietary fibre. Mutat. Res./Rev. Mutat. Res. 2009, 682, 39-53.
98. Aiello, D., De Luca, D., Gionfriddo, E., Naccarato, A. et al., Review: multistage mass spectrometry in quality, safety and origin of foods. Eur. J. Mass Spectrom. 2011, 17, 1-31.
99. Kvasnička, F., Proteomics, general strategies and application to nutritionally relevant proteins. J. Chromatogr. B 2003, 787, 77-89.
100. Kirsch, S., Fourdrilis, S., Dobson, R., Scippo, M. L. et al., Quantitative methods for food allergens, a review. Anal. Bioanal. Chem. 2009, 395, 57-67.
101. Cifuentes, A., Food analysis and Foodomics. J. Chromatogr A. 2009, 1216, 7109-7110.
102. Herrero, M., Simó, C., García-Cañas, V., Ibáñez, E. et al., Foodomics: MS-based strategies in modern food science and nutrition. Mass Spectrom. Rev. 2012, 31, 49-69.
103. McAnoy, A. M., Wu, C. C., Murphy, R. C., Direct qualitative analysis of triacylglycerols by electrospray mass spectrometry using a linear ion trap. J. Am. Soc. Mass Spectrom. 2005, 16, 1498-1509.
104. Lin, J., Arcinas, A., Analysis of regiospecific triacylglycerols by electrospray ionization mass spectrometry of lithiated adducts. J. Agric. Food Chem. 2008, 56, 4909-4915.
105. Shen, Q., Wang, Y., Gong, L., Guo, R. et al., Shotgun lipidomics strategy for fast analysis of phospholipids in fisheries waste and its potential in species differentiation. J. Agric. Food Chem. 2012, 60, 9384-9393.
106. Abbas, K. A., Mohamed, A., Jamilah, B., Ebrahimian, M., A review on correlations between fish freshness and pH during cold storage. Am. J. Biochem. Biotechnol. 2008, 4, 416-421.
107. Caddy, J. F., Wickens, P. A., Sugunan, V. V., Mahon, R., Quality and quality changes in fresh fish. Food Agric. Organ. FAO Rome 1995, 348, 68-92.
108. Wang, Y., Zhang, H., Tracking phospholipid profiling of muscle from Ctennopharyngodon idellus during storage by shotgun lipidomics. J. Agric Food Chem. 2011, 59, 11635-11642.
109. Calvano, C. D., Carulli, S., Palmisano, F., 1H-pteridine-2, 4-dione lumazine, a new MALDI matrix for complex phospholipid mixtures analysis. Anal. Bioanal. Chem. 2010, 398, 499-507.