Relevance of the study of metabolic profiles in sheep and goat flock. Present and futureA review

  1. Hernandez, Joaquin 1
  2. Benedito, Jose L. 1
  3. Castillo, Cristina 1
  1. 1 Universidade de Santiago de Compostela, Facultad de Veterinaria de Lugo, Departamento de Patoloxía Animal. Campus Universitario, 27002 Lugo
Revista:
Spanish journal of agricultural research

ISSN: 1695-971X 2171-9292

Ano de publicación: 2020

Volume: 18

Número: 3

Tipo: Artigo

DOI: 10.5424/SJAR/2020183-14627 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Outras publicacións en: Spanish journal of agricultural research

Resumo

Current adoption of technical methods of the production systems and the genetic improvement of flocks’ productivity have led to the emergence of the well-known metabolic diseases or diseases linked to production. These disorders affect the health status of the flock, thereby generating strong economic losses in the livestock sector. The solution goes through the assessment of the ration, the characteristics of the facilities, the physiological state and the health of the flock, but also, assessing the health condition which is not always reflected in their body condition or feed intake. In field conditions, metabolic profiles could be considered as possible intermediate monitoring tool between animal production and nutrition, because they are able to express a(n) (im)balance between production requirements and feed intake. This information can be accessed by performing measurements and interpreting different blood parameters in a clinical context. Thus, the aim of this review is to offer current information about biochemical metabolic parameters in small ruminants, covering some influencing aspects related to sampling procedure, management and interpretation of results.

Referencias bibliográficas

  • Abuelo A, Hernández J, Benedito JL, Castillo C, 2013. Oxidative stress index (OSi) as a new tool to assess redox status in dairy cattle during transition period. Animal 7 (8): 1374-1378. https://doi.org/10.1017/S1751731113000396
  • Abuelo A, Hernández J, Benedito JL, Castillo C, 2014. A comparative study of the metabolic profile, insulin sensitivity and inflammatory response between organically and conventionally managed dairy cattle during the periparturient period. Animal 8: 1516-1525. https://doi.org/10.1017/S1751731114001311
  • Abuelo A, Hernández J, Benedito JL, Castillo C, 2015. The connection between serum redox balance and concentration of lactic acid enantiomers in dairy cows around the time of calving. Comp Clin Path 24: 465-468. https://doi.org/10.1007/s00580-014-1975-x
  • Abuelo A, Hernández J, Benedito JL, Castillo C, 2016. Association of oxidative status and insulin sensivity in periparturient dairy cattle: an observational study. J Anim Physiol Anim Nutr 100 (2): 279-286. https://doi.org/10.1111/jpn.12365
  • Allen WM, Sansom BF, 1986. Parturient paresis (milk fever) and hypocalcemia (cows, ewes, and goats). In: Current veterinary therapy, food animal practice, 2nd ed; Howard JL, (ed). pp: 311-317. WB Saunders, Philadelphia, USA.
  • Allison GG, Rees-Stevens P, Jackman R, Moorby JM, 2008. Normal ranges and temporal variation in plasma concentrations of L-lactate and free amino acids in adult sheep. Res Vet Sci 85: 22-25. https://doi.org/10.1016/j.rvsc.2007.08.005
  • Antunović Z, Šperanda M, Novoselec J, Đidara M, Mioč B, Klir Ž, Samac D, 2017. Blood metabolic profile and acid-base balance of dairy goats and their kids during lactation. Vet Arhiv 87: 43-55.
  • Bani Ismail ZA, Al-Majali AM, Amireh F, Al-Rawashdeh OF, 2008. Metabolic profiles in goat does in late pregnancy with and without subclinical pregnancy toxemia. Vet Clin Pathol 37(4): 434-437. https://doi.org/10.1111/j.1939-165X.2008.00076.x
  • Belknap EB, Pugh DG, 2002. Disease of the urinary system. In: Sheep and goat medicine; Pugh DG, (ed). pp: 255-276. W.B. Saunders, Philadelphia, USA. https://doi.org/10.1016/B0-72-169052-1/50012-0
  • Bender HS, 2003. Muscle. In: Duncan & Prasse's veterinary laboratory medicine: clinical pathology 4th ed; Latimer KS, Mahaffey EA, Prasse KW (eds). pp: 260-269. Iowa State Press, IA, USA.
  • Bloomfield FH, Oliver MH, Hawkins P, Holloway AC, Campbell M, Gluckman PD, Harding JE, Challis JRG, 2004. Periconceptional undernutrition in sheep accelerates maturation of the fetal hypothalamic-pituitary-adrenal axis in late gestation. Endocrinol 145 (9): 4278-4285. https://doi.org/10.1210/en.2004-0424
  • Braun JP, Trumel C, Bézille P, 2010. Clinical biochemistry in sheep: A selected review. Small Rum Res 92: 10-18. https://doi.org/10.1016/j.smallrumres.2010.04.002
  • Calamari L, Ferrari A, Minuti A, Trevisi E, 2016. Assessment of the main plasma parameters included in a metabolic profile of dairy cow based on Fourier Transform mid-infrared spectroscopy: preliminary results. BMC Vet Res 12 (4): 4-10. https://doi.org/10.1186/s12917-015-0621-4
  • Cannas A, 2002. Feeding of lactating ewes. In: Dairy sheep feeding and nutrition; Pulina G, (ed). pp: 123-166. Avenue Media, Bolonia, Italy.
  • Castillo C, Hernández J, 2013. El laboratorio en la monitorización de la oveja gestante. Ganadería (enero-febrero): 45-47.
  • Castillo C, Hernández, J, 2016. Afecciones metabólicas peripartales en ovino y caprino de producción lechera. Ganadería (julio-agosto): 48-51.
  • Castillo C, Hernández J. López M, Miranda M, García P, Benedito JL, 1997. Relationship between venous pH, serum calcium and proteins in the course of anoestrus, pregnancy and lactation in the ewe. Arch Anim Breed 40: 257-263.
  • Castillo C, Hernández J, López M, Miranda M, Benedito JL, 1999. Effect of physiological stage and nutritional management on some serum metabolite concentrations in Assaf ovine breed. Arch Anim Breed 42: 377-386. https://doi.org/10.5194/aab-42-377-1999
  • Castillo C, Hernández J, Benedito JL, López M, Miranda M, Gutiérrez C, Sotillo J, 2000. Quantitative evaluation of acid-base balance on milk producing goat: effect of sex and milk yield. Vet Med 45 (8): 241-246.
  • Castillo C, Hernández J, López M, Ayala I, Miranda M, Benedito JL, 2001. A different point of view of glutathione peroxidase: its relationship to the metabolic changes associated with nutritional management in Assaf ovine breed. Arch Anim Breed 44: 305-312. https://doi.org/10.5194/aab-44-305-2001
  • Castillo C, Hernández J, Bravo A, López Alonso M, Pereira V, Benedito JL, 2005. Oxidative status during late pregnancy and early lactation in dairy cows. Vet J 169: 286-292. https://doi.org/10.1016/j.tvjl.2004.02.001
  • Castillo C, Benedito JL, Pereira V, Vázquez P, Gutiérrez C, Hernández J, 2009. Acid-base status and serum L-lactate in growing/finishing bull calves fed different high-grain diets. Liv Sci 120: 66-74. https://doi.org/10.1016/j.livsci.2008.04.011
  • Castillo C, Hernández J, Pereira V, Vázquez P, Sotillo J, Miranda M, Benedito JL, 2011. Serum metabolite concentrations and enzyme activities in finishing bull calves fed different types of high-grain diets. Arch Anim Breed 54 (2): 137-146. https://doi.org/10.5194/aab-54-137-2011
  • Castillo C, Abuelo A, Hernández J, 2015. Desequilibrio del magnesio en rumiantes. Ganadería (enero-febrero): 48-50.
  • Castillo C, Abuelo A, Hernández J, 2016. Usefulness of metabolic profiling in the assessment of the flock's health status and productive performance. Small Rumin Res 142: 28-30. https://doi.org/10.1016/j.smallrumres.2016.02.019
  • Celi P, 2011. Biomarkers of oxidative stress in ruminant medicine. Immunopharm Immunot 33: 233-240. https://doi.org/10.3109/08923973.2010.514917
  • Celi P, di Trana A, Claps S, 2010. Effects of plane of nutrition on oxidative stress in goats during the peripartumperiod. Vet J 184: 95-99. https://doi.org/10.1016/j.tvjl.2009.01.014
  • Ceriotti F, Hinzmann R, Panteghini M, 2009. Reference intervals: the way forward. Ann Clin Biochem 46 (1): 8-17. https://doi.org/10.1258/acb.2008.008170
  • Dalle-Donne I, Scaloni A, Giustarini D, Cavarra E, Tell G, Lungarella G, Colombo R, Rossi R, Milzani A, 2005. Proteins as biomarkers of oxidative/nitrosative stress in diseases: the contribution of redox proteomics. Mass Spectrom Rev 24: 55-99. https://doi.org/10.1002/mas.20006
  • Donald A, Donner A, 1987. Adjustments to the Mantel-Haenszel Chi-square statistic and odds ratio variance estimator when the data are clustered. Stat Med 6: 491-499. https://doi.org/10.1002/sim.4780060408
  • Elbers ARW, Stegeman JA, de Jong MF, Lambers JH, de Koning R, Hunneman WA, 1995. Estimating sample sizes for a two-stage sampling survey of seroprevalence of pseudorabies virus (prv)-infected swine at a regional level in The Netherlands. Vet Q 17: 92-95. https://doi.org/10.1080/01652176.1995.9694540
  • EC, 2015. Good Laboratory Practices. GLP Working Group. European Commission. https://ec.europa.eu/growth/sectors/chemicals/good-laboratory-practice_en
  • Evans GO, 2009. Animal clinical chemistry a practical guide for toxicologists and biomedical researchers. ,2nd ed. Taylor & Francis, London, UK. 368 pp. https://doi.org/10.1201/9781420080124
  • Fraenkel JR, Wallen NE, Hyun HH, 2012. How to design and evaluate research in education, 8th ed. McGraw-Hill, San Francisco, USA. 660 pp.
  • Friedrichs KR, Harr KE, Freeman KP, Szladovits B, Walton RM, Barnhart KF, Blanco-Chavez J, 2012. ASVCP reference interval guidelines: determination of de novo reference intervals in veterinary species and other related topics. Vet Clin Pathol 41 (4): 441-453. https://doi.org/10.1111/vcp.12006
  • Goldansaz SA, Guo AC, Sajed T, Steele MA, Plastow GS, Wishart DS, 2017. Livestock metabolomics and the livestock metabolome: A systematic review. PLoS ONE 12 (5): e0177675. https://doi.org/10.1371/journal.pone.0177675
  • González F, 2018. Doze leituras em bioquímica clínica veterinária. Faculdade de Veterinária, Univ Federal do Rio Grande do Sul, Portoalegre, Brazil. 166 pp.
  • Humann-Ziehank E, Ganter M, 2012. Pre-analytical factors affecting the results of laboratory blood analyses in farm animal veterinary diagnostics. Animal 6-7: 1115-1123. https://doi.org/10.1017/S1751731111002679
  • Ji JZ, Meng QH, 2011. Evaluation of the interference of hemoglobin, bilirubin, and lipids on Roche Cobas 6000 assays. Clin Chim Acta 412: 1550-1553. https://doi.org/10.1016/j.cca.2011.04.034
  • Kaneko JJ, Harvey JW, Bruss ML (eds), 2008. Clinical biochemistry of domestic animals, 6th ed. Academic Press, San Diego, USA. 928 pp.
  • Klein MS, Buttchereit N, Miemczyk SP, Immervoll AK, Louis C, Wiedemann S, Junge W, Thaller G, Oefner PJ, Gronwald W, 2012. NMR metabolomic analysis of dairy cows reveals milk glycerophosphocholine to phosphocholine ratio as prognostic biomarker for risk of ketosis. J Proteome Res 11: 1373-1381. https://doi.org/10.1021/pr201017n
  • Macrae AI, Whitaker DA, Burrough E, Dowell A, Kelly JM, 2006. Use of metabolic profiles for the assessment of dietary adequacy in UK dairy herds. Vet Rec 159: 655-661. https://doi.org/10.1136/vr.159.20.655
  • Milne E, Scott, 2006. Cost-effective biochemistry and haematology in sheep. In Practice: 454-461. https://doi.org/10.1136/inpract.28.8.454
  • Nicholson JK, Lindon JC, Holmes E, 1999. Metabolomics: Understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic date. Xenbiotica 29: 1181-1189. https://doi.org/10.1080/004982599238047
  • Nicholson JK, Connelly J, Lindon JC, Holmes E, 2002. Metabolomics: A platform for studying drug toxicity and gene function. Nat Rev Drug Discov 1: 153-161. https://doi.org/10.1038/nrd728
  • Oetzel GR, 2003. Herd-based biological testing for metabolic disorders. Adv Dairy Tech 15: 275-285.
  • Oliver MH, Hawkins P, Breier BH, Van Zijl PL, Sargison SA, Harding JE, 2001. Maternal undernutrition during the periconceptual period increases plasma taurine levels and insulin response to glucose but not arginine in the late gestational foetal sheep. Endocrinol 142: 4576-4579. https://doi.org/10.1210/endo.142.10.8529
  • Payne JM, Dew SM, Manston R, Faulks M, 1970. The use of a metabolic profile test in dairy herds. Vet Rec 87 (6): 150-157. https://doi.org/10.1136/vr.87.6.150
  • Pearson H, 2007. Meet the human metabolome. Nature 446: 8. https://doi.org/10.1038/446008a
  • Piccione G, Foa A, Bertolucci C, Caola G, 2006. Daily rhythm of salivary and serum urea concentration in sheep. J Circadian Rhythms 4: 16. https://doi.org/10.1186/1740-3391-4-16
  • Radostits OM, Gay CC, Hinchcliff KW, Constable PD, 2006. Veterinary Medicine. A textbook of the diseases of cattle, horses, sheep, pigs and goats, 10th ed. Saunders, New York. 2065 pp.
  • Russell KE, Roussel AJ, 2007. Evaluation of the ruminant serum chemistry profile. Vet Clin North Am Food Anim Pract 23: 403-426. https://doi.org/10.1016/j.cvfa.2007.07.003
  • Sargison D, Scott PR, 2010. The implementation and value of diagnostic procedures in sheep health management. Small Rum Res 92: 2-9. https://doi.org/10.1016/j.smallrumres.2010.04.019
  • Sevi A, Albenzio M, Annicchiarico G, Caroprese M, Marino R, Santillo A, 2006. Effects of dietary protein level on ewe milk yield and nitrogen utilization, and on air quality under different ventilation rates. J Dairy Res 73: 197-206. https://doi.org/10.1017/S0022029905001469
  • Sevi A, Casamassima D, Pulina G, Pazzona A, 2009. Factors of welfare reduction in dairy sheep and goats. It J Anim Sci 8 (1): 81-101. https://doi.org/10.4081/ijas.2009.s1.81
  • Smith BP, 2015. Large animal internal medicine, 5th ed. Elsevier Mosby, St. Louis, USA. 1712 pp.
  • Sun LW, Zhang HY, Wu L, Shu S, Xia C, Xu C, Zheng JS. 2014. 1H-Nuclear magnetic resonance-based plasma metabolic profiling of dairy cows with clinical and subclinical ketosis. J Dairy Sci 97: 1552-1562. https://doi.org/10.3168/jds.2013-6757
  • Sun LW, Guo Y, Fan Y, Nie H, Wang R, Wang F, 2017. Metabolic profiling of stages of healthy pregnancy in Hu sheep usingnuclear magnetic resonance (NMR). Theriogenol 92: 121-128. https://doi.org/10.1016/j.theriogenology.2017.01.025
  • Tóthová C, Nagy O, Seidel H, Kováč G, 2012. The effect of storage temperature and time on the concentrations of bovine serum amyloid A and its mammary associated isoform. Vet Med Int 2012: 861458. https://doi.org/10.1155/2012/861458
  • Vap LM, Weiser MG, 2007. Field chemistry analysis. Vet Clin Food Anim Pract 23: 427-442. https://doi.org/10.1016/j.cvfa.2007.07.001
  • Zhang H, Wu L, Xu C, Xia C, Sun L, Shu S, (2013. Plasma metabolomic profiling of dairy cows affected with ketosis using gas chromatography/mass spectrometry. BMC Vet Res 26 (9): 2-13. https://doi.org/10.1186/1746-6148-9-186