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Home / Equine Research Bank / Sci Rep / A metabolomics perspective on 2 years of high-intensity...
Scientific reports2024; 14(1); 2139; doi: 10.1038/s41598-024-52188-z

A metabolomics perspective on 2 years of high-intensity training in horses.

Abstract: The plasma metabolomic profile of elite harness horses subjected to different training programmes was explored. All horses had the same training programme from 1.5 until 2 years of age and then high-intensity training was introduced, with horses divided into high and low training groups. Morning blood samples were collected at 1.5, 2, 2.5 and 3.5 years of age. The plasma was analysed using targeted absolute quantitative analysis and a combination of tandem mass spectrometry, flow-injection analysis and liquid chromatography. Differences between the two training groups were observed at 2 years of age, when 161 metabolites and sums and ratios were lower (e.g. ceramide and several triglycerides) and 51 were higher (e.g. aconitic acid, anserine, sum of PUFA cholesteryl esters and solely ketogenic AAs) in High compared with low horses. The metabolites aconitic acid, anserine, leucine, HArg synthesis and sum of solely ketogenic AAs increased over time, while beta alanine synthesis, ceramides and indole decreased. Therefore high-intensity training promoted adaptations linked to aerobic energy production and amino acid metabolism, and potentially also affected pH-buffering and vascular and insulin responses.
© 2024. The Author(s).
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Publication Date: 2024-01-25 PubMed ID: 38273017PubMed Central: PMC10810775DOI: 10.1038/s41598-024-52188-zGoogle Scholar: Lookup
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Summary

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This research analysed the effect of high-intensity training on the metabolism of elite harness horses, with observed variations in their plasma metabolomic profiles. It concluded that this type of training could promote adaptations related to aerobic energy production, amino acid metabolism, and potentially impact pH-buffering and vascular and insulin responses.

Methodology:

  • All horses underwent the same training programme until they were 2 years old, at which point they were divided into groups receiving high-intensity and low-intensity training.
  • Blood samples were collected in the morning when the horses were 1.5, 2, 2.5, and 3.5 years old.
  • These samples were analysed using a combination of targeted absolute quantitative analysis, tandem mass spectrometry, flow-injection analysis and liquid chromatography. These are all advanced techniques used frequently in biochemical analyses to identify and quantify the components of a sample.

Findings:

  • The researchers noticed differences between the high-intensity and low-intensity training groups when the horses were 2 years old.
  • In the high-intensity group, 161 metabolites along with some sums and ratios were lower (including ceramide and several triglycerides), while 51 were higher (such as aconitic acid, anserine, sum of PUFA cholesteryl esters and only ketogenic AAs).
  • The intensity of the training seemed to be a definitive factor affecting the metabolic adaptations, impacting the levels of aconitic acid, anserine, leucine, HArg synthesis, and sum of solely ketogenic AAs as they showed an increased trend over time.
  • Concurrently, the study found a decrease in beta alanine synthesis, ceramides, and indole over time.

Conclusion:

  • High-intensity training appeared to stimulate adaptations associated with aerobic energy production and amino acid metabolism. This is important as it suggests a potential route through which sport and fitness professionals could optimize athletic performance in horses and potentially extrapolate similar regimen for human athletes.
  • Moreover, the training also seemed to impact pH-buffering capability, vascular reactions, and insulin responses of the horses. These effects could have long-term implications for horse health and are thus, important findings to consider in designing future training programs.
  • Finally, the observed impact of high-intensity training on the metabolic profile of these horses provides an important contribution to our understanding of equine metabolic responses to exercise intensity. These findings could be crucial for improving horse performance, well-being, and overall lifespan.

Cite This Article

APA
Johansson L, Ringmark S, Bergquist J, Skiöldebrand E, Jansson A. (2024). A metabolomics perspective on 2 years of high-intensity training in horses. Sci Rep, 14(1), 2139. https://doi.org/10.1038/s41598-024-52188-z

Publication

Scientific reports
ISSN: 2045-2322
NlmUniqueID: 101563288
Country: England
Language: English
Volume: 14
Issue: 1
Pages: 2139
PII: 2139

Researcher Affiliations

Johansson, L
  • Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, P.O. Box 7011, 750 07, Uppsala, Sweden.
Ringmark, S
  • Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, P.O. Box 7011, 750 07, Uppsala, Sweden.
Bergquist, J
  • Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, P.O. Box 7011, 750 07, Uppsala, Sweden.
  • Department of Chemistry-BMC, Analytical Chemistry and Neurochemistry, Uppsala University, P.O. Box 599, 751 24, Uppsala, Sweden.
Skiöldebrand, E
  • Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, P.O. Box 7028, 750 07, Uppsala, Sweden.
Jansson, A
  • Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, P.O. Box 7011, 750 07, Uppsala, Sweden. anna.jansson@slu.se.

MeSH Terms

  • Horses
  • Animals
  • Anserine
  • Aconitic Acid
  • Metabolomics / methods
  • Tandem Mass Spectrometry
  • Leucine

Conflict of Interest Statement

The authors declare no competing interests.

References

This article includes 50 references
  1. Khoramipour K. Metabolomics in exercise and sports: A systematic review.. Sports Med 2022;52:547–583.
    doi: 10.1007/s40279-021-01582-ypubmed: 34716906google scholar: lookup
  2. Sakaguchi CA, Nieman DC, Signini EF, Abreu RM, Catai AM. Metabolomics-based studies assessing exercise-induced alterations of the human metabolome: A systematic review.. Metabolites 2019;9:164.
    doi: 10.3390/metabo9080164pmc: PMC6724094pubmed: 31405020google scholar: lookup
  3. Goldansaz SA. Livestock metabolomics and the livestock metabolome: A systematic review.. PLoS ONE 2017;12:e0177675.
    doi: 10.1371/journal.pone.0177675pmc: PMC5439675pubmed: 28531195google scholar: lookup
  4. Klein DJ, McKeever KH, Mirek ET, Anthony TG. Metabolomic response of equine skeletal muscle to acute fatiguing exercise and training.. Front. Physiol. 2020;11:110.
    doi: 10.3389/fphys.2020.00110pmc: PMC7040365pubmed: 32132934google scholar: lookup
  5. Klein DJ, Anthony TG, McKeever KH. Metabolomics in equine sport and exercise.. J. Anim. Physiol. Anim. Nutr. (Berl.) 2021;105:140–148.
    doi: 10.1111/jpn.13384pubmed: 32511844google scholar: lookup
  6. de Meeus d'Argenteuil C. Comparison of shifts in skeletal muscle plasticity parameters in horses in three different muscles, in answer to 8 weeks of harness training.. Front. Vet. Sci. 2021;8:718866.
    doi: 10.3389/fvets.2021.718866pmc: PMC8558477pubmed: 34733900google scholar: lookup
  7. National Research Council. Nutrient Requirements of Horses.. 6. The National Academies Press; 2007.
  8. Ringmark S. Growth, training response and health in Standardbred yearlings fed a forage-only diet.. Animal 2013;7:746–753.
    doi: 10.1017/S1751731112002261pubmed: 23228709google scholar: lookup
  9. Ringmark S, Revold T, Jansson A. Effects of training distance on feed intake, growth, body condition and muscle glycogen content in young Standardbred horses fed a forage-only diet.. Animal 2017;11:1718–1726.
    doi: 10.1017/S1751731117000593pubmed: 28367770google scholar: lookup
  10. Ringmark S. Reduced high intensity training distance had no effect on VLa4 but attenuated heart rate response in 2–3-year-old Standardbred horses.. Acta Vet. Scand. 2015;57:17.
    doi: 10.1186/s13028-015-0107-1pmc: PMC4389305pubmed: 25884463google scholar: lookup
  11. Benjamini Y, Hochberg Y. Controlling the false discovery rate—A practical and powerful approach to multiple testing.. J. R. Stat. Soc. B. 1995;57:289–300.
    doi: 10.1111/j.2517-6161.1995.tb02031.xgoogle scholar: lookup
  12. Westermann CM. Amino acid profile during exercise and training in Standardbreds.. Res. Vet. Sci. 2011;91:144–149.
    doi: 10.1016/j.rvsc.2010.08.010pubmed: 20863542google scholar: lookup
  13. Lawrence LM. Nutrition and fuel utilization in the athletic horse.. Vet. Clin. N. Am. Equine Pract. 1990;6:393–418.
    doi: 10.1016/s0749-0739(17)30548-5pubmed: 2202499google scholar: lookup
  14. Anthony JC, Anthony TG, Kimball SR, Jefferson LS. Signaling pathways involved in translational control of protein synthesis in skeletal muscle by leucine.. J. Nutr. 2001;131:856S–860S.
    doi: 10.1093/jn/131.3.856Spubmed: 11238774google scholar: lookup
  15. Morifuji M, Kanda A, Koga J, Kawanaka K, Higuchi M. Post-exercise carbohydrate plus whey protein hydrolysates supplementation increases skeletal muscle glycogen level in rats.. Amino Acids 2010;38:1109–1115.
    doi: 10.1007/s00726-009-0321-0pubmed: 19593593google scholar: lookup
  16. Lacombe V, Hinchcliff KW, Geor RJ, Lauderdale MA. Exercise that induces substantial muscle glycogen depletion impairs subsequent anaerobic capacity.. Equine Vet. J. Suppl. 1999.
    doi: 10.1111/j.2042-3306.1999.tb05237.xpubmed: 10659271google scholar: lookup
  17. Boldyrev AA, Aldini G, Derave W. Physiology and pathophysiology of carnosine.. Physiol. Rev. 2013;93:1803–1845.
    doi: 10.1152/physrev.00039.2012pubmed: 24137022google scholar: lookup
  18. Mori M, Mizuno D, Konoha-Mizuno K, Sadakane Y, Kawahara M. Carnosine concentration in the muscle of thoroughbred horses and its implications in exercise performance.. Trace Nutr. Res. 2015;32:49–53.
    doi: 10.51029/jtnrs.32.0_49google scholar: lookup
  19. Essén-Gustavsson B, Ronéus N, Pösö AR. Metabolic response in skeletal muscle fibres of standardbred trotters after racing.. Comp. Biochem. Physiol. 1997;117B:431–436.
    doi: 10.1016/s0305-0491(97)00140-5pubmed: 9253181google scholar: lookup
  20. Jansson A, Lindberg JE. A forage-only diet alters the metabolic response of horses in training.. Animal 2012;6:1939–1946.
    doi: 10.1017/S1751731112000948pubmed: 22717208google scholar: lookup
  21. Bisetto S. New insights into the lactate shuttle: Role of MCT4 in the modulation of the exercise capacity.. Iscience 2019;22:507.
    doi: 10.1016/j.isci.2019.11.041pmc: PMC6920289pubmed: 31837519google scholar: lookup
  22. Pösö AR. Monocarboxylate transporters and lactate metabolism in equine athletes: A review.. Acta Vet. Scand. 2002;43:63–74.
    doi: 10.1186/1751-0147-43-63pmc: PMC1764192pubmed: 12173504google scholar: lookup
  23. Brooks GA. Lactate shuttles in nature.. Biochem. Soc. Trans. 2002;30:258–264.
    doi: 10.1042/Bst0300258pubmed: 12023861google scholar: lookup
  24. Lancha Junior AH, de Painelli S, Saunders B, Artioli GG. Nutritional strategies to modulate intracellular and extracellular buffering capacity during high-intensity exercise.. Sports Med. 2015;45(Suppl 1):S71–81.
    doi: 10.1007/s40279-015-0397-5pmc: PMC4672007pubmed: 26553493google scholar: lookup
  25. Martinez Y. The role of methionine on metabolism, oxidative stress, and diseases.. Amino Acids 2017;49:2091–2098.
    doi: 10.1007/s00726-017-2494-2pubmed: 28929442google scholar: lookup
  26. Henckel P. Training and growth induced changes in the middle gluteal muscle of young Standardbred trotters.. Equine Vet. J. 1983;15:134–140.
    doi: 10.1111/j.2042-3306.1983.tb01736.xpubmed: 6873046google scholar: lookup
  27. Essen-Gustavsson B, Lindholm A. Muscle fibre characteristics of active and inactive standardbred horses.. Equine Vet. J. 1985;17:434–438.
    doi: 10.1111/j.2042-3306.1985.tb02549.xpubmed: 4076157google scholar: lookup
  28. Hodgson DR. Energy considerations during exercise.. Vet. Clin. N. Am. Equine Pract. 1985;1:447–460.
    doi: 10.1016/s0749-0739(17)30744-7pubmed: 3877550google scholar: lookup
  29. Roneus M, Essen-Gustavsson B, Lindholm A, Persson SG. Skeletal muscle characteristics in young trained and untrained standardbred trotters.. Equine Vet. J. 1992;24:292–294.
    doi: 10.1111/j.2042-3306.1992.tb02838.xpubmed: 1499537google scholar: lookup
  30. Kasumov T. Improved insulin sensitivity after exercise training is linked to reduced plasma C14:0 ceramide in obesity and type 2 diabetes.. Obesity (Silver Spring) 2015;23:1414–1421.
    doi: 10.1002/oby.21117pmc: PMC4482773pubmed: 25966363google scholar: lookup
  31. Gaggini M, Pingitore A, Vassalle C. Plasma ceramides pathophysiology, measurements, challenges, and opportunities.. Metabolites 2021;11:719.
    doi: 10.3390/metabo11110719pmc: PMC8622894pubmed: 34822377google scholar: lookup
  32. Leung YH, Kenez A, Grob AJ, Feige K, Warnken T. Associations of plasma sphingolipid profiles with insulin response during oral glucose testing in Icelandic horses.. J. Vet. Intern. Med. 2021;35:2009–2018.
    doi: 10.1111/jvim.16200pmc: PMC8295691pubmed: 34105193google scholar: lookup
  33. Fedewa MV, Gist NH, Evans EM, Dishman RK. Exercise and insulin resistance in youth: A meta-analysis.. Pediatrics 2014;133:e163–174.
    doi: 10.1542/peds.2013-2718pubmed: 24298011google scholar: lookup
  34. Turner SP. Comparison of insulin sensitivity of horses adapted to different exercise intensities.. J. Equine Vet. Sci. 2011;31:645–649.
    doi: 10.1016/j.jevs.2011.05.006google scholar: lookup
  35. Gehlen H, Liertz S, Merle R. Effects of feeding and exercise changes on equine metabolic syndrome (EMS). Pferdeheilkunde Equine Med. 2022;38:363–372.
    doi: 10.21836/pem20220406google scholar: lookup
  36. Carter RA, McCutcheon LJ, Valle E, Meilahn EN, Geor RJ. Effects of exercise training on adiposity, insulin sensitivity, and plasma hormone and lipid concentrations in overweight or obese, insulin-resistant horses.. Am. J. Vet. Res. 2010;71:314–321.
    doi: 10.2460/ajvr.71.3.314pubmed: 20187833google scholar: lookup
  37. Tsikas D, Wu G. Homoarginine, arginine, and relatives: Analysis, metabolism, transport, physiology, and pathology.. Amino Acids 2015;47:1697–1702.
    doi: 10.1007/s00726-015-2055-5pubmed: 26210755google scholar: lookup
  38. Sibal L, Agarwal SC, Home PD, Boger RH. The role of asymmetric dimethylarginine (ADMA) in endothelial dysfunction and cardiovascular disease.. Curr. Cardiol. Rev. 2010;6:82–90.
    doi: 10.2174/157340310791162659pmc: PMC2892080pubmed: 21532773google scholar: lookup
  39. Oral O. Nitric oxide and its role in exercise physiology.. J. Sports Med. Phys. Fit. 2021;61:1208–1211.
    doi: 10.23736/s0022-4707.21.11640-8pubmed: 33472351google scholar: lookup
  40. Moroni F. Tryptophan metabolism and brain function: Focus on kynurenine and other indole metabolites.. Eur. J. Pharmacol. 1999;375:87–100.
    doi: 10.1016/s0014-2999(99)00196-xpubmed: 10443567google scholar: lookup
  41. Lee JH, Wood TK, Lee J. Roles of indole as an interspecies and interkingdom signaling molecule.. Trends Microbiol. 2015;23:707–718.
    doi: 10.1016/j.tim.2015.08.001pubmed: 26439294google scholar: lookup
  42. Tennoune N, Andriamihaja M, Blachier F. Production of indole and indole-related compounds by the intestinal microbiota and consequences for the host: The good, the bad, and the ugly.. Microorganisms 2022.
    doi: 10.3390/microorganisms10050930pmc: PMC9145683pubmed: 35630374google scholar: lookup
  43. Jaglin M. Indole, a signaling molecule produced by the gut microbiota, negatively impacts emotional behaviors in rats.. Front. Neurosci. 2018;12:216.
    doi: 10.3389/fnins.2018.00216pmc: PMC5900047pubmed: 29686603google scholar: lookup
  44. Koay YC. Effect of chronic exercise in healthy young male adults: A metabolomic analysis.. Cardiovasc. Res. 2021;117:613–622.
    doi: 10.1093/cvr/cvaa051pubmed: 32239128google scholar: lookup
  45. Ross R, Hudson R, Stotz PJ, Lam M. Effects of exercise amount and intensity on abdominal obesity and glucose tolerance in obese adults: A randomized trial.. Ann. Intern. Med. 2015;162:325–334.
    doi: 10.7326/M14-1189pubmed: 25732273google scholar: lookup
  46. Luo J, Yang H, Song BL. Mechanisms and regulation of cholesterol homeostasis.. Nat. Rev. Mol. Cell Biol. 2020;21:225–245.
    doi: 10.1038/s41580-019-0190-7pubmed: 31848472google scholar: lookup
  47. Ringmark S, Jansson A, Lindholm A, Hedenstrom U, Roepstorff L. A 2.5 year study on health and locomotion symmetry in young Standardbred horses subjected to two levels of high intensity training distance.. Vet. J. 2016;207:99–104.
    doi: 10.1016/j.tvjl.2015.10.052pubmed: 26654845google scholar: lookup
  48. Essen-Gustavsson B, Connysson M, Jansson A. Effects of crude protein intake from forage-only diets on muscle amino acids and glycogen levels in horses in training.. Equine Vet. J. Suppl. 2010.
    doi: 10.1111/j.2042-3306.2010.00283.xpubmed: 21059028google scholar: lookup
  49. Pösö AR, Soveri T, Oksanen HE. The effect of exercise on blood parameters in Standardbred and Finnish-bred horses.. Acta Vet. Scand. 1983;24:170–184.
    doi: 10.1186/BF03546745pmc: PMC8291260pubmed: 6613781google scholar: lookup
  50. Ringmark S, Roepstorff L, HedenstrM U, Lindholm A, Jansson A. Reduced training distance and a forage-only diet did not limit race participation in young Standardbred horses.. Comp. Exerc. Physiol. 2017;13:265–272.
    doi: 10.3920/Cep170017google scholar: lookup

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