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Targeted metabolomics: new insights into pathobiology of retained placenta in dairy cows and potential risk biomarkers

Published online by Cambridge University Press:  16 October 2017

E. Dervishi ,
G. Zhang ,
R. Mandal ,
D. S. Wishart  and
B. N. Ametaj
E. Dervishi
Affiliation:
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada T6G 2P5
G. Zhang
Affiliation:
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada T6G 2P5
R. Mandal
Affiliation:
Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, AB, Canada T6G 2E9
D. S. Wishart
Affiliation:
Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, AB, Canada T6G 2E9
B. N. Ametaj*
Affiliation:
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada T6G 2P5
*
†E-mail: [email protected]
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Abstract

A targeted quantitative metabolomics approach was used to study temporal changes of serum metabolites in cows that normally released their fetal membranes and those that retained the placenta. We identified and measured serum concentrations of 128 metabolites including amino acids, acylcarnitines, biogenic amines, glycerophospholipids, sphingolipids and hexose at −8 and −4 weeks before parturition, during the week of retained placenta (RP) diagnosis, and at +4 and +8 weeks after parturition. In addition, we aimed at identifying metabolite signatures of pre-RP in the serum that might be used as predictive biomarkers for risk of developing RP in dairy cows. Results revealed major alterations in the metabolite fingerprints of pre-RP cows starting as early as −8 weeks before parturition and continuing as far as +8 weeks after calving. Biomarker candidates found in this study are mainly biomarkers of inflammation which might not be specific to RP. Therefore, the relevance of serum Lys, Orn, acetylornithine, lysophophatidylcholine LysoPC a C28:0, Asp, Leu and Ile as potential serum biomarkers for prediction of risk of RP in dairy cows will have to be tested in the future. In addition, lower concentrations of LysoPCs, Trp, and higher kynurenine in the serum during prepartum and the week of occurrence of RP suggest involvement of inflammation in the pathobiology of RP.

Keywords

retained placentatransition dairy cowsmetabolic diseasemetabolomicsbiomarkers
Type
Research Article
Information
animal , Volume 12 , Issue 5 , May 2018 , pp. 1050 - 1059
Copyright
© The Animal Consortium 2017 

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References

Ametaj, BN 2015. A systems veterinary approach in understanding transition cow diseases: metabolomics. In Conference: Proceedings of the 4th International Symposium on Dairy Cow Nutrition and Milk Quality, Advances in Fundamental Research, 8–10 May, Beijing, China, pp. 78–85.Google Scholar
Bender, DA 2012. The branched-chain amino acids: leucine, isoleucine and valine. In Amino acid metabolism, 3rd edition (ed. DA Bender), pp. 279–303. John Wiley & Sons, Hoboken, NJ, USA.Google Scholar
Canadian Council on Animal Care 1993. Guide to the care and use of experimental animals, volume 1, 2nd edition. CCAC, Ottawa, Canada.Google Scholar
Cooke, RF, Silva Del Rio, N, Caraviello, DZ, Bertics, SJ, Ramos, MH and Grummer, RR 2007. Supplemental choline for prevention and alleviation of fatty liver in dairy cattle. Journal of Dairy Science 90, 2413–2418.CrossRefGoogle ScholarPubMed
Dervishi, E, Zhang, G, Hailemariam, D, Dunn, SM and Ametaj, BN 2016. Occurrence of retained placenta is preceded by an inflammatory state and alterations of energy metabolism in transition dairy cows. Journal of Animal Science and Biotechnology 7, 26.Google Scholar
Eastin, CE, McClain, CJ, Lee, EY, Bagby, GJ and Chawla, RK 1997. Choline deficiency augments and antibody to tumor necrosis factor-A attenuates endotoxin-induced hepatic injury. Alcoholism: Clinical and Experimental Research 21, 1037–1041.CrossRefGoogle Scholar
Eckel, EF and Ametaj, BN 2016. Invited review: role of bacterial endotoxins in the etiopathogenesis of periparturient diseases of transition dairy cows. Journal of Dairy Science 99, 5967–5990.Google Scholar
Fallarino, F, Grohmann, U, Vacca, C, Bianchi, R, Orabona, C, Spreca, A, Fioretti, MC and Puccetti, P 2002. T cell apoptosis by tryptophan catabolism. Cell Death and Differentiation 9, 1069–1077.Google Scholar
Förstermann, U and Sessa, WC 2012. Nitric oxide synthases: regulation and function. European Heart Journal 33, 829–837.Google Scholar
Frumento, G, Rotondo, R, Tonetti, M, Damonte, G, Benatti, U and Ferrara, GB 2002. Tryptophan-derived catabolites are responsible for inhibition of T and natural killer cell proliferation induced by indoleamine 2,3-dioxygenase. Journal of Experimental Medicine 196, 459–468.Google Scholar
Hailemariam, D, Mandal, R, Saleem, F, Dunn, SM, Wishart, DS and Ametaj, BN 2014a. Identification of predictive biomarkers of disease state in transition dairy cows. Journal of Dairy Science 97, 2680–2693.CrossRefGoogle Scholar
Hailemariam, D, Mandal, R, Saleem, F, Dunn, SM, Wishart, DS and Ametaj, BN 2014b. Metabolomics approach reveals altered plasma amino acid and sphingolipid profiles associated with pathological states in transition dairy cows. Current Metabolomics 3, 184–195.Google Scholar
Iseri, VJ and Klasing, KC 2014. Changes in the amount of lysine in protective proteins and immune cells after a systemic response to dead Escherichia coli: implications for the nutritional costs of immunity. Integrative and Comparative Biology 54, 922–930.Google Scholar
Kamisoglu, K, Haimovich, B, Calvano, SE, Coyle, SM, Corbett, SA, Langley, RJ, Kingsmore, SF and Androulakis, IP 2015. Human metabolic response to systemic inflammation: assessment of the concordance between experimental endotoxemia and clinical cases of sepsis/SIRS. Critical Care 3, 71–81.Google Scholar
Katoh, N 2002. Relevance of apolipoproteins in the development of fatty liver and fatty liver-related peripartum diseases in dairy cows. The Journal of Veterinary Medical Sciences 64, 293–307.CrossRefGoogle ScholarPubMed
Li, X, Fang, P, Li, Y, Kuo, YM, Andrews, AJ, Nanayakkara, G, Johnson, C, Fu, H, Shan, H, Du, F, Hoffman, NE, Yu, D, Eguchi, S, Madesh, M, Koch, WJ, Sun, J, Jiang, X, Wang, H and Yang, X 2016. Mitochondrial reactive oxygen species mediate lysophosphatidylcholine-induced endothelial cell activation. Arteriosclerosis, Thrombosis, and Vascular Biology 36, 1090–1100.Google Scholar
Li, Z and Vance, DE 2008. Phosphatidylcholine and choline homeostasis. Journal of Lipid Research 9, 1187–1194.Google Scholar
Memon, RA, Holleran, WM, Moser, AH, Seki, T, Uchida, Y, Fuller, J, Shigenaga, JK, Grunfeld, C and Feingold, KR 1998. Endotoxin and cytokines increase hepatic sphingolipid biosynthesis and produce lipoproteins enriched in ceramides and sphingomyelin. Arteriosclerosis Thrombosis and Vascular Biology 18, 125712–125765.Google Scholar
Mills, CD, Kincaid, K, Alt, JM, Heilman, MJ and Hill, AM 2000. M-1/M-2 macrophages and the Th1/Th2 paradigm. Journal of Immunology 164, 6166–6173.Google Scholar
Oikawa, S and Katoh, N 1997. Reduced concentrations of apolipoproteins B-100 and A-I in serum from cows with retained placenta. Canadian Journal of Veterinary Research 61, 312–314.Google ScholarPubMed
Olivera, A and Rivera, J 2005. Sphingolipids and the balancing of immune cell function: lessons from the mast cell. Journal of Immunology 174, 1153–1158.Google Scholar
R Development Core Team 2008. R: A language environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.Google Scholar
Rutkowsky, JM, Knotts, TA, Ono-Moore, KD, McCoin, CS, Huang, S, Schneider, D, Singh, S, Adams, SH and Hwang, DH 2014. Acylcarnitines activate proinflammatory signaling pathways. American Journal of Physiology: Endocrinology and Metabolism 306, E137813–E137887.Google ScholarPubMed
Shah, MD and Iqbal, M 2010. Diazinon-induced oxidative stress and renal dysfunction in rats. Food and Chemical Toxicology 48, 3345–3353.Google Scholar
Sim, KG, Hammond, J and Wilcken, B 2002. Strategies for the diagnosis of mitochondrial fatty acid beta-oxidation disorders. Clinica Chimica Acta 323, 37–58.Google Scholar
Smani, Y, Domínguez-Herrera, J, Ibáñez-Martínez, J and Pachóna, J 2015. Therapeutic efficacy of lysophosphatidylcholine in severe infections caused by acinetobacter baumannii. Antimicrobial Agents Chemotherapy 59, 3920–3924.Google Scholar
Wajner, M and Amaral, AU 2015. Mitochondrial dysfunction in fatty acid oxidation disorders: insights from human and animal studies. Bioscience Reports 36, e00281.Google Scholar
Wiesner, PK, Leidl, K, Boettcher, A, Schmitz, G and Liebisch, G 2009. Lipid profiling of FPLC-separated lipoprotein fractions by electrospray ionization tandem mass spectrometry. Journal of Lipid Research 50, 574–585.CrossRefGoogle ScholarPubMed
Zebeli, Q, Sivaraman, S, Dunn, SM and Ametaj, BN 2011. Intermittent parenteral administration of endotoxin triggers metabolic and immunological alterations typically associated with displaced abomasum and retained placenta in periparturient dairy cows. Journal of Dairy Science 94, 4968–4983.Google Scholar
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