[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5851/kosfa.2021.e59

A Comprehensive Review of Lipidomics and Its Application to Assess Food Obtained from Farm Animals

Song, Yinghua (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)
Cai, Changyun (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)
Song, Yingzi (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)
Sun, Xue (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)
Liu, Baoxiu (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)
Xue, Peng (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)
Zhu, Mingxia (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)
Chai, Wenqiong (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)
Wang, Yonghui (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)
Wang, Changfa (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)
Li, Mengmeng (College of Agronomy, Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University)

Publication Information

Food Science of Animal Resources / v.42, no.1, 2022 , pp. 1-17 More about this Journal

Abstract

Lipids are one of the major macronutrients essential for adequate growth and maintenance of human health. Their structure is not only complex but also diverse, which makes systematic and holistic analyses challenging; consequently, little is known regarding the relationship between phenotype and mechanism of action. In recent years, rapid advancements have been made in the fields of lipidomics and bioinformatics. In comparison with traditional approaches, mass spectrometry-based lipidomics can rapidly identify as well as quantify >1,000 lipid species at the same time, facilitating comprehensive, robust analyses of lipids in tissues, cells, and body fluids. Accordingly, lipidomics is now being widely applied in various fields, particularly food and nutrition science. In this review, we discuss lipid classification, extraction techniques, and detection and analysis using lipidomics. We also cover how lipidomics is being used to assess food obtained from livestock and poultry. The information included herein should serve as a reference to determine how to characterize lipids in animal food samples, enhancing our understanding of the application of lipidomics in the field in animal husbandry.

Keywords

lipids; lipidomics; animal food; mass spectrometry;

Citations & Related Records

Reference

1	Jia W, Li R, Liu S, Shi L, Wu X, Chu X. 2021. Lipidomics study of tan-sheep meat in cold chain storage based on ultra high performance liquid chromatography-quadrupole-orbitrap mass spectrometry. J Instrum Anal 40:295-302.
2	Johnson JV, Yost RA, Kelley PE, Bradford DC. 1990. Tandem-in-space and tandem-in-time mass spectrometry: Triple quadrupoles and quadrupole ion traps. Anal Chem 62:2162-2172. DOI
3	Li J, Yang Y, Zhan T, Zhao Q, Zhang J, Ao X, He J, Zhou J, Tang C. 2021a. Effect of slaughter weight on carcass characteristics, meat quality, and lipidomics profiling in longissimus thoracis of finishing pigs. LWT-Food Sci Technol 140:110705. DOI
4	Li M, Li W, Wu J, Zheng Y, Shao J, Li Q, Kang S, Zhang Z, Yue X, Yang M. 2020b. Quantitative lipidomics reveals alterations in donkey milk lipids according to lactation. Food Chem 310:125866. DOI
5	Li M, Zhu M, Chai W, Wang Y, Fan D, Lv M, Jiang X, Liu Y, Wei Q, Wang C. 2021c. Determination of lipid profiles of Dezhou donkey meat using an LC-MS-based lipidomics method. J Food Sci 86:4511-4521. DOI
6	Li Q, Zhao Y, Zhu D, Pang X, Liu Y, Frew R, Chen G. 2017. Lipidomics profiling of goat milk, soymilk and bovine milk by UPLC-Q-Exactive Orbitrap Mass Spectrometry. Food Chem 224:302-309. DOI
7	Zhang X, Li H, Yang L, Jiang G, Ji C, Zhang Q, Zhao F. 2021a. Comparative lipidomics profiling of donkey milk with cow and human milk by UHPLC-Q-Exactive Orbitrap mass spectrometry. J Food Compos Anal 101:103988. DOI
8	Mi S, Shang K, Li X, Zhang CH, Liu JQ, Huang DQ. 2019a. Characterization and discrimination of selected China's domestic pork using an LC-MS-based lipidomics approach. Food Control 100:305-314. DOI
9	Li J, Zhang J, Yang Y, Zhu J, He W, Zhao Q, Tang C, Qin Y, Zhang J. 2021b. Comparative characterization of lipids and volatile compounds of Beijing Heiliu and Laiwu Chinese black pork as markers. Food Res Int 146:110433. DOI
10	Li X, He Q, Hou H, Zhang S, Zhang X, Zhang Y, Wang X, Han L, Liu K. 2018. Targeted lipidomics profiling of marine phospholipids from different resources by UPLC-Q-Exactive Orbitrap/MS approach. J Chromatogr B Analyt Technol Biomed Life Sci 1096:107-112. DOI
11	Mi S, Shang K, Jia W, Zhang CH, Li X, Fan YQ, Wang H. 2018. Characterization and discrimination of Taihe black-boned silky fowl (Gallus gallus domesticus Brisson) muscles using LC/MS-based lipidomics. Food Res Int 109:187-195. DOI
12	Li M, Li Q, Kang S, Cao X, Zheng Y, Wu J, Wu R, Shao J, Yang M, Yue X. 2020a. Characterization and comparison of lipids in bovine colostrum and mature milk based on UHPLC-QTOF-MS lipidomics. Food Res Int 136:109490. DOI
13	Han X, Gross RW. 2003. Global analyses of cellular lipidomes directly from crude extracts of biological samples by ESI mass spectrometry: A bridge to lipidomics. J Lipid Res 44:1071-1079. DOI
14	Jia B, Wu J, Zhang Y. 2020. Recent advances and prospect in the development of the biological samples preparation techniques in lipidomics. AnHui Chem Ind 46:1-5.
15	Kouba M, Mourot J. 2011. A review of nutritional effects on fat composition of animal products with special emphasis on n-3 polyunsaturated fatty acids. Biochimie 93:13-17. DOI
16	Li M, Zhu M, Chai W, Wang Y, Song Y, Liu B, Cai C, Song Y, Sun X, Xue P, Wang C. 2021d. Determination of the heterogeneity of intramuscular fat and visceral adipose tissue from Dezhou donkey by lipidomics and transcriptomics profiling. Front Nutr 8:746684. DOI
17	Li Z, Cheng S, Lin Q, Cao W, Yang J, Zhang M, Shen A, Zhang W, Xia Y, Ma X, Ouyang Z. 2021e. Single-cell lipidomics with high structural specificity by mass spectrometry. Nat Commun 12:2869. DOI
18	Yi L, Dong N, Yun Y, Deng B, Ren D, Liu S, Liang Y. 2016. Chemometric methods in data processing of mass spectrometrybased metabolomics: A review. Anal Chim Acta 914:17-34. DOI
19	Eriksson L, Jaworska J, Worth AP, Cronin MTD, McDowell RM, Gramatica P. 2003. Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs. Environ Health Perspect 111:1361-1375. DOI
20	Zou X, Huang J, Jin Q, Guo Z, Liu Y, Cheong L, Xu X, Wang X. 2013. Lipid composition analysis of milk fats from different mammalian species: Potential for use as human milk fat substitutes. J Agric Food Chem 61:7070-7080. DOI
21	Mi S, Shang K, Zhang CH, Fan YQ. 2019b. Characterization and discrimination of selected chicken eggs in China's retail market based on multi-element and lipidomics analysis. Food Res Int 126:108668. DOI
22	Miao QY, Gao W, Li J, Chen J. 2019. Progress on lipidomics analytical methods and their applications in studies of traditional Chinese medicines. Zhongguo Zhong Yao Za Zhi 44:1760-1766.
23	Muhamadali H, Weaver D, Subaihi A, AlMasoud N, Trivedi DK, Ellis DI, Linton D, Goodacre R. 2016. Chicken, beams, and Campylobacter: Rapid differentiation of foodborne bacteria via vibrational spectroscopy and MALDI-mass spectrometry. Analyst 141:111-122. DOI
24	Navas-Iglesias N, Carrasco-Pancorbo A, Cuadros-Rodriguez L. 2009. From lipids analysis towards lipidomics, a new challenge for the analytical chemistry of the 21st century. Part II: Analytical lipidomics. TrAC Trends Analyt Chem 28:393-403. DOI
25	Numata M, Kandasamy P, Nagashima Y, Posey J, Hartshorn K, Woodland D, Voelker DR. 2012. Phosphatidylglycerol suppresses influenza a virus infection. Am J Respir Cell Mol Biol 46:479-487. DOI
26	Pourmortazavi SM, Hajimirsadeghi SS. 2007. Supercritical fluid extraction in plant essential and volatile oil analysis. J Chromatogr A 1163:2-24. DOI
27	Saccenti E, Hoefsloot HCJ, Smilde AK, Westerhuis JA, Hendriks MMWB. 2014. Reflections on univariate and multivariate analysis of metabolomics data. Metabolomics 10:361-374. DOI
28	Samhan-Arias AK, Ji J, Demidova OM, Sparvero LJ, Feng W, Tyurin V, Tyurina YY, Epperly MW, Shvedova AA, Greenberger JS, Bayir H, Kagan VE, Amoscato AA. 2012. Oxidized phospholipids as biomarkers of tissue and cell damage with a focus on cardiolipin. Biochim Biophys Acta Biomembr BBA 1818:2413-2423. DOI
29	Smiddy MA, Huppertz T, van Ruth SM. 2012. Triacylglycerol and melting profiles of milk fat from several species. Int Dairy J 24:64-69. DOI
30	Song H, Ladenson J, Turk J. 2009. Algorithms for automatic processing of data from mass spectrometric analyses of lipids. J Chromatogr B Analyt Technol Biomed Life Sci 877:2847-2854. DOI
31	Boccard J, Rutledge DN. 2013. A consensus orthogonal partial least squares discriminant analysis (OPLS-DA) strategy for multiblock Omics data fusion. Anal Chim Acta 769:30-39. DOI
32	Alcoriza-Balaguer MI, Garcia-Canaveras JC, Lopez A, Conde I, Juan O, Carretero J, Lahoz A. 2019. LipidMS: An R package for lipid annotation in untargeted liquid chromatography-data independent acquisition-mass spectrometry lipidomics. Anal Chem 91:836-845. DOI
33	Ali AH, Zou X, Lu J, Abed SM, Yao Y, Tao G, Jin Q, Wang X. 2017. Identification of phospholipids classes and molecular species in different types of egg yolk by using UPLC-Q-TOF-MS. Food Chem 221:58-66. DOI
34	Belayneh HD, Wehling RL, Reddy AK, Cahoon EB, Ciftci ON. 2017. Ethanol-modified supercritical carbon dioxide extraction of the bioactive lipid components of Camelina sativa seed. J Am Oil Chem Soc 94:855-865. DOI
35	Cajka T, Fiehn O. 2016. Toward merging untargeted and targeted methods in mass spectrometry-based metabolomics and lipidomics. Anal Chem 88:524-545. DOI
36	Calvano CD, De Ceglie C, Aresta A, Facchini LA, Zambonin CG. 2013. MALDI-TOF mass spectrometric determination of intact phospholipids as markers of illegal bovine milk adulteration of high-quality milk. Anal Bioanal Chem 405:1641-1649. DOI
37	Canela N, Herrero P, Marine S, Nadal P, Ras MR, Rodriguez MA, Arola L. 2016. Analytical methods in sphingolipidomics: Quantitative and profiling approaches in food analysis. J Chromatogr A 1428:16-38. DOI
38	Alewijnse AE, Peters SLM. 2008. Sphingolipid signalling in the cardiovascular system: Good, bad or both? Eur J Pharmacol 585:292-302. DOI
39	Berrueta LA, Alonso-Salces RM, Heberger K. 2007. Supervised pattern recognition in food analysis. J Chromatogr A 1158:196-214. DOI
40	Cajka T, Fiehn O. 2014. Comprehensive analysis of lipids in biological systems by liquid chromatography-mass spectrometry. TrAC Trends Analyt Chem 61:192-206. DOI
41	Sugawara T, Aida K, Duan J, Tomonaga N, Manabe Y, Hirata T. 2019. Analysis of chemical structures of glucosylceramides from rice and other foodstuffs. J Nutr Sci Vitaminol 65:S228-S230. DOI
42	Teo CC, Chong WPK, Ho YS. 2013. Development and application of microwave-assisted extraction technique in biological sample preparation for small molecule analysis. Metabolomics 9:1109-1128. DOI
43	Triebl A, Hartler J, Trotzmuller M, Kofeler HC. 2017. Lipidomics: Prospects from a technological perspective. Biochim Biophys Acta Mol Cell Biol Lipids 1862:740-746.
44	Vyssotski M, Bloor SJ, Lagutin K, Wong H, Williams DBG. 2015. Efficient separation and analysis of triacylglycerols: Quantitation of β-palmitate (OPO) in oils and infant formulas. J Agric Food Chem 63:5985-5992. DOI
45	Wang L, Li X, Liu L, da Zhang H, Zhang Y, Hao Chang Y, Zhu QP. 2020. Comparative lipidomics analysis of human, bovine and caprine milk by UHPLC-Q-TOF-MS. Food Chem 310:125865. DOI
46	Bojko B, Reyes-Garces N, Bessonneau V, Gorynski K, Mousavi F, Souza Silva EA, Pawliszyn J. 2014. Solid-phase microextraction in metabolomics. TrAC Trends Analyt Chem 61:168-180. DOI
47	Tsochatzidis NA, Guiraud P, Wilhelm AM, Delmas H. 2001. Determination of velocity, size and concentration of ultrasonic cavitation bubbles by the phase-Doppler technique. Chem Eng Sci 56:1831-1840. DOI
48	Pourmortazavi SM, Saghafi Z, Ehsani A, Yousefi M. 2018. Application of supercritical fluids in cholesterol extraction from foodstuffs: A review. J Food Sci Technol 55:2813-2823. DOI
49	Song S, Bai Y, Liu H. 2020. Advances in the development of the sample preparation techniques in lipidomics. China J Chromatogr 38:66-73.
50	Tang S, Zhang H, Lee HK. 2016. Advances in sample extraction. Anal Chem 88:228-249. DOI
51	Wang K, Xu L, Wang X, Chen A, Xu Z. 2021. Discrimination of beef from different origins based on lipidomics: A comparison study of DART-QTOF and LC-ESI-QTOF. LWT-Food Sci Technol 149:111838. DOI
52	Fontecha J, Goudjil H, Rios JJ, Fraga MJ, Juarez M. 2005. Identity of the major triacylglycerols in ovine milk fat. Int Dairy J 15:1217-1224. DOI
53	Campos AM, Ricardo F, Alves E, Reis A, Couto D, Domingues P, Domingues MRM. 2016. Lipidomic investigation of eggs' yolk: Changes in lipid profile of eggs from different conditions. Food Res Int 89:177-185. DOI
54	Checa A, Bedia C, Jaumot J. 2015. Lipidomic data analysis: Tutorial, practical guidelines and applications. Anal Chim Acta 885:1-16. DOI
55	Cui Y, Dai Z, Shen Q, Wang L. 2019. Recent advances and prospect of lipidomics in food science. J Chin Inst Food Sci Technol 19:262-270.
56	Gantner V, Mijic P, Baban M, Skrtic Z, Turalija A. 2015. The overall and fat composition of milk of various species. Mljekarstvo J Dairy Prod Process Improv 65:223-231.
57	Norris GH, Porter CM, Jiang C, Millar CL, Blesso CN. 2017. Dietary sphingomyelin attenuates hepatic steatosis and adipose tissue inflammation in high-fat-diet-induced obese mice. J Nutr Biochem 40:36-43. DOI
58	Han X. 2016. Lipidomics for studying metabolism. Nat Rev Endocrinol 12:668-679. DOI
59	He J, Wu X, Zhou Y, Chen J. 2021. Effects of different preheat treatments on volatile compounds of camellia (Camellia oleifera Abel.) seed oil and formation mechanism of key aroma compounds. J Food Biochem 45:e13649.
60	Wood PL, Muir W, Christmann U, Gibbons P, Hancock CL, Poole CM, Emery AL, Poovey JR, Hagg C, Scarborough JH, Christopher JS, Dixon AT, Craney DJ. 2021. Lipidomics of the chicken egg yolk: High-resolution mass spectrometric characterization of nutritional lipid families. Poult Sci 100:887-899. DOI
61	Masood MA, Yuan C, Acharya JK, Veenstra TD, Blonder J. 2010. Quantitation of ceramide phosphorylethanolamines containing saturated and unsaturated sphingoid base cores. Anal Biochem 400:259-269. DOI
62	Nilsson A. 2016. Role of sphingolipids in infant gut health and immunity. J Pediatr 173:S53-S59. DOI
63	Fukasawa K, Nakajima S, Gotoh M, Tanaka S, Murofushi H, Murakami-Murofushi K. 2018. Qualitative and quantitative comparison of cyclic phosphatidic acid and its related lipid species in rat serum using hydrophilic interaction liquid chromatography with tandem-mass spectrometry. J Chromatogr A 1567:177-184. DOI
64	Liu H, Guo X, Zhao Q, Qin Y, Zhang J. 2020. Lipidomics analysis for identifying the geographical origin and lactation stage of goat milk. Food Chem 309:125765. DOI
65	Liu Z, Ezernieks V, Wang J, Arachchillage NW, Garner JB, Wales WJ, Cocks BG, Rochfort S. 2017. Heat stress in dairy cattle alters lipid composition of milk. Sci Rep 7:961. DOI
66	Liu Z, Rochfort S, Cocks B. 2018. Milk lipidomics: What we know and what we don't. Prog Lipid Res 71:70-85. DOI
67	Matyash V, Liebisch G, Kurzchalia TV, Shevchenko A, Schwudke D. 2008. Lipid extraction by methyl-tert-butyl ether for high-throughput lipidomics. J Lipid Res 49:1137-1146. DOI
68	Gorrochategui E, Jaumot J, Lacorte S, Tauler R. 2016. Data analysis strategies for targeted and untargeted LC-MS metabolomic studies: Overview and workflow. TrAC Trends Analyt Chem 82:425-442. DOI
69	Schmidt JA, Fensom GK, Rinaldi S, Scalbert A, Appleby PN, Achaintre D, Gicquiau A, Gunter MJ, Ferrari P, Kaaks R, Kuhn T, Boeing H, Trichopoulou A, Karakatsani A, Peppa E, Palli D, Sieri S, Tumino R, Bueno-de-Mesquita B, Agudo A, Sanchez MJ, Chirlaque MD, Ardanaz E, Larranaga N, Perez-Cornago A, Assi N, Riboli E, Tsilidis KK, Key TJ, Travis RC. 2020. Patterns in metabolite profile are associated with risk of more aggressive prostate cancer: A prospective study of 3,057 matched case-control sets from EPIC. Int J Cancer 146:720-730. DOI
70	Garcia JS, Sanvido GB, Saraiva SA, Zacca JJ, Cosso RG, Eberlin MN. 2012. Bovine milk powder adulteration with vegetable oils or fats revealed by MALDI-QTOF MS. Food Chem 131:722-726. DOI
71	Zullig T, Troetzmueller M, Kofeler HC. 2020. Lipidomics from sample preparation to data analysis: A primer. Anal Bioanal Chem 412:2191-2209. DOI
72	Tanaka K, Hosozawa M, Kudo N, Yoshikawa N, Hisata K, Shoji H, Shinohara K, Shimizu T. 2013. The pilot study: Sphingomyelin-fortified milk has a positive association with the neurobehavioural development of very low birth weight infants during infancy, randomized control trial. Brain Dev 35:45-52. DOI
73	Wang C, Kong H, Guan Y, Yang J, Gu J, Yang S, Xu G. 2005. Plasma phospholipid metabolic profiling and biomarkers of type 2 diabetes mellitus based on high-performance liquid chromatography/electrospray mass spectrometry and multivariate statistical analysis. Anal Chem 77:4108-4116. DOI
74	Zhang Z, Liao Q, Sun Y, Pan T, Liu S, Miao W, Li Y, Zhou L, Xu G. 2021b. Lipidomic and transcriptomic analysis of the longissimus muscle of luchuan and duroc pigs. Front Nutr 8:667622. DOI
75	Fahy E, Subramaniam S, Brown HA, Glass CK, Merrill AH, Murphy RC, Raetz CRH, Russell DW, Seyama Y, Shaw W, Shimizu T, Spener F, van Meer G, VanNieuwenhze MS, White SH, Witztum JL, Dennis EA. 2005. A comprehensive classification system for lipids. J Lipid Res 46:839-861. DOI
76	Hebra T, Eparvier V, Touboul D. 2020. Atmospheric pressure photoionization versus electrospray for the dereplication of highly conjugated natural products using molecular networks. J Chromatogr A 1630:461533. DOI
77	Xiang X, 2019. Study on odor, multiomics matrix difference and non-destructive identification of male and female chicken eggs. Huazhong Agr Uni in China.
78	Ghidotti M, Fabbri D, Torri C, Piccinini S. 2018. Determination of volatile fatty acids in digestate by solvent extraction with dimethyl carbonate and gas chromatography-mass spectrometry. Anal Chim Acta 1034:92-101. DOI
79	Wang QL, Jin YG, Lu SL, Ji H, Ma MH. 2017. Lipidomic analysis of egg yolk triglycerides in different poultry eggs. Mod Food Sci Technol 33:210-216.
80	Wu B, Xie Y, Xu S, Lv X, Yin H, Xiang J, Chen H, Wei F. 2020. Comprehensive lipidomics analysis reveals the effects of different omega-3 polyunsaturated fatty acid-rich diets on egg yolk lipids. J Agric Food Chem 68:15048-15060. DOI
81	Xie Y, Wu B, Wu Z, Tu X, Xu S, Lv X, Yin H, Xiang J, Chen H, Wei F. 2020. Ultrasound-assisted one-phase solvent extraction coupled with liquid chromatography-quadrupole time-of-flight mass spectrometry for efficient profiling of egg yolk lipids. Food Chem 319:126547. DOI
82	Xu T, Hu C, Xuan Q, Xu G. 2020. Recent advances in analytical strategies for mass spectrometry-based lipidomics. Anal Chim Acta 1137:156-169. DOI
83	Yang K, Cheng H, Gross RW, Han X. 2009. Automated lipid identification and quantification by multidimensional mass spectrometry-based shotgun lipidomics. Anal Chem 81:4356-4368. DOI
84	Yi M, Zhang C, Zhang Z, Yi P, Xu P, Huang J, Peng W. 2020. Integrated metabolomic and lipidomic analysis reveals the neuroprotective mechanisms of bushen tiansui formula in an aβ1-42-induced rat model of Alzheimer's disease. Oxid Med Cell Longev 2020:5243453.