Analyze Diet
Animals : an open access journal from MDPI2025; 15(24); 3640; doi: 10.3390/ani15243640

Evaluation of Concentration Changes in Plasma Amino Acids and Their Metabolites in Eventing Horses During Cross-Country Competitions as Potential Performance Predictors.

Abstract: Amino acid (AA) metabolism and the adaptation of muscles to increased physical performance are interdependent. This field study examined changes in plasma amino acid (PAA) concentrations and two metabolites (ammonia and urea) before and after cross-country (CC) competitions throughout an entire eventing season and their associations with performance outcomes in eventing horses. Twenty horses from nine different Warmblood breeds were evaluated between two and seven times across 14 international eventing competitions over a 23-week period. A total of 55 rides were sampled. Blood samples were collected at four time points: before the start (TP0), 10 min after completion of the CC ride (TP1), 30 min post-CC (TP2), and the next morning (TP3). A mixed ANOVA revealed significant effects ( < 0.05) of calendar week on PAA concentrations for asparagine, ornithine, and proline. Correlations between CC scores and PAA concentrations were observed for 4 of the 25 measured parameters. TP0 leucine concentrations and TP2 histidine concentrations correlated negatively with CC penalty score, whereas TP1 proline concentrations and TP3 alanine concentrations correlated positively with CC penalty score. These results indicate that higher plasma leucine concentrations may contribute to improved performance in eventing horses. Additionally, alanine and proline show potential as performance-related diagnostic biomarkers.
Publication Date: 2025-12-17 PubMed ID: 41463924PubMed Central: PMC12729978DOI: 10.3390/ani15243640Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

Overview

  • This study investigated how levels of amino acids and their metabolites in horse blood change during cross-country eventing competitions.
  • The research aimed to find associations between these biochemical changes and horses’ performance in competitions.

Background and Purpose

  • Amino acids (AAs) are crucial for muscle metabolism and adaptation during physical exercise.
  • Eventing is a demanding sport combining dressage, cross-country (CC), and show jumping, requiring optimal physical conditioning.
  • Studying plasma amino acid concentrations (PAA) and metabolites like ammonia and urea provides insight into muscle metabolism and fatigue during performance.
  • The study’s goal was to track changes in these blood parameters during CC phases and to identify potential biochemical predictors of competitive success in horses.

Study Design and Methods

  • Participants: 20 eventing horses from nine Warmblood breeds.
  • Duration: 14 international competitions over 23 weeks, capturing 55 rides in total.
  • Sampling Times: Blood was collected at four key stages per competition:
    • TP0 – before the start of the CC ride
    • TP1 – 10 minutes after CC completion
    • TP2 – 30 minutes after completion
    • TP3 – the next morning after the CC ride
  • Analysis: Mixed ANOVA was used to test the effect of calendar week on plasma amino acid concentrations.
  • Correlational analyses were performed between CC performance scores (penalty points representing poorer performance) and amino acid/metabolite concentrations.

Key Findings

  • Significant Changes Over Time:
    • Concentrations of asparagine, ornithine, and proline in plasma changed significantly with time over the competition season.
  • Performance Correlations:
    • Out of 25 measured parameters, 4 showed significant correlations with CC penalty scores.
    • Pre-ride (TP0) leucine concentration was negatively correlated with penalty score, meaning higher leucine was associated with better performance (fewer penalties).
    • Post-ride (TP2) histidine concentration also negatively correlated with penalty score.
    • Proline concentration shortly after the ride (TP1) and alanine concentration the next morning (TP3) correlated positively with penalty score, indicating higher levels were linked with worse performance.

Interpretation and Implications

  • Leucine is an essential amino acid known to stimulate muscle protein synthesis and support muscle recovery, which likely underpins its positive association with performance.
  • Higher alanine and proline concentrations after the ride might indicate muscle stress or metabolic fatigue associated with lower performance.
  • Histidine’s role is less clear but the negative correlation suggests it may support muscular endurance or recovery.
  • These amino acids could potentially serve as biomarkers to monitor horse fitness, optimize training, and predict performance outcomes in eventing competitions.
  • Further research could define practical applications for dietary supplementation or exercise programming based on these findings.

Conclusion

  • This study provides evidence that plasma amino acid concentrations fluctuate in eventing horses during competitions and relate to ride outcomes.
  • Leucine levels measured before competition may predict better performance, while alanine and proline post-ride could indicate fatigue or decreased performance capacity.
  • These findings contribute to understanding muscular adaptation in athletic horses and offer potential tools for performance monitoring.

Cite This Article

APA
Reemtsma FP, Giers J, Horstmann S, Stoeckle SD, Gehlen H. (2025). Evaluation of Concentration Changes in Plasma Amino Acids and Their Metabolites in Eventing Horses During Cross-Country Competitions as Potential Performance Predictors. Animals (Basel), 15(24), 3640. https://doi.org/10.3390/ani15243640

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 15
Issue: 24
PII: 3640

Researcher Affiliations

Reemtsma, Flora Philine
  • Equine Clinic, Internal Medicine, Freie Universität Berlin, Oertzenweg 19b, 14193 Berlin, Germany.
Giers, Johanna
  • Tierklinik Großmoor, Holzweg 13, 29352 Adelheidsdorf, Germany.
Horstmann, Stephanie
  • German Olympic Committee for Equestrian Sports (DOKR), Freiherr-von-Langen-Straße 15, 48231 Warendorf, Germany.
Stoeckle, Sabita Diana
  • Equine Clinic, Internal Medicine, Freie Universität Berlin, Oertzenweg 19b, 14193 Berlin, Germany.
Gehlen, Heidrun
  • Equine Clinic, Internal Medicine, Freie Universität Berlin, Oertzenweg 19b, 14193 Berlin, Germany.

Conflict of Interest Statement

The authors declare no conflicts of interest.

References

This article includes 52 references
  1. Brook MS, Wilkinson DJ, Phillips BE, Perez-Schindler J, Philp A, Smith K, Atherton PJ. Skeletal muscle homeostasis and plasticity in youth and ageing: Impact of nutrition and exercise. Acta Physiol 2016;216:15–41.
    doi: 10.1111/apha.12532pmc: PMC4843955pubmed: 26010896google scholar: lookup
  2. Flück M. Functional, structural and molecular plasticity of mammalian skeletal muscle in response to exercise stimuli. J. Exp. Biol. 2006;209:2239–2248.
    doi: 10.1242/jeb.02149pubmed: 16731801google scholar: lookup
  3. de Meeûs d’Argenteuil C, Boshuizen B, Vidal Moreno de Vega C, Leybaert L, de Maré L, Goethals K, De Spiegelaere W, Oosterlinck M, Delesalle 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
  4. Tyler CM, Golland LC, Evans DL, Hodgson DR, Rose RJ. Changes in maximum oxygen uptake during prolonged training, overtraining, and detraining in horses. J. Appl. Physiol. 1996;81:2244–2249.
    doi: 10.1152/jappl.1996.81.5.2244pubmed: 8941551google scholar: lookup
  5. Miglio A, Falcinelli E, Mezzasoma AM, Cappelli K, Mecocci S, Gresele P, Antognoni MT. Effect of first long-term training on whole blood count and blood clotting parameters in thoroughbreds. Animals 2021;11:447.
    doi: 10.3390/ani11020447pmc: PMC7915801pubmed: 33572086google scholar: lookup
  6. Piccione G, Arfuso F, Giudice E, Aragona F, Pugliatti P, Panzera MF, Zumbo A, Monteverde V, Bartolo V, Barbera A. Dynamic adaptation of hematological parameters, albumin, and non-esterified fatty acids in Saddlebred and Standardbred horses during exercise. Animals 2025;15:300.
    doi: 10.3390/ani15030300pmc: PMC11816135pubmed: 39943070google scholar: lookup
  7. Maśko M, Domino M, Jasiński T, Witkowska-Piłaszewicz O. The physical activity-dependent hematological and biochemical changes in school horses in comparison to blood profiles in endurance and race horses. Animals 2021;11:1128.
    doi: 10.3390/ani11041128pmc: PMC8071065pubmed: 33920044google scholar: lookup
  8. Witkowska-Piłaszewicz O, Bąska P, Czopowicz M, Żmigrodzka M, Szczepaniak J, Szarska E, Winnicka A, Cywińska A. Changes in Serum Amyloid A (SAA) Concentration in Arabian endurance horses during first training season. Animals 2019;9:330.
    doi: 10.3390/ani9060330pmc: PMC6616404pubmed: 31181740google scholar: lookup
  9. Bouwman FG, van Ginneken MM, Noben JP, Royackers E, de Graaf-Roelfsema E, Wijnberg ID, van der Kolk JH, Mariman EC, van Breda E. Differential expression of equine muscle biopsy proteins during normal training and intensified training in young standardbred horses using proteomics technology. Comp. Biochem. Physiol. Part D Genom. Proteom. 2010;5:55–64.
    doi: 10.1016/j.cbd.2009.11.001pubmed: 20374942google scholar: lookup
  10. Luti S, Militello R, Fiaschi T, Magherini F, Gamberi T, Parri M, Marzocchini R, Pratesi S, Soldaini R, Modesti A. Preliminary results indicate that regular training induces high protection against oxidative stress in basketball players compared to soccer. Sci. Rep. 2022;12:18526.
    doi: 10.1038/s41598-022-23351-1pmc: PMC9630319pubmed: 36323868google scholar: lookup
  11. Giers J, Bartel A, Kirsch K, Müller SF, Horstmann S, Gehlen H. Blood-based markers for skeletal and cardiac muscle function in Eventing horses before and after Cross-Country rides and how they are influenced by plasma volume shift. Animals 2023;13:3110.
    doi: 10.3390/ani13193110pmc: PMC10572052pubmed: 37835716google scholar: lookup
  12. Giers J, Bartel A, Kirsch K, Müller SF, Horstmann S, Gehlen H. Blood-based assessment of oxidative stress, inflammation, endocrine and metabolic adaptations in eventing horses accounting for plasma volume shift after exercise. Vet. Med. Sci. 2024;10:e1409.
    doi: 10.1002/vms3.1409pmc: PMC10958401pubmed: 38516822google scholar: lookup
  13. Witkowska-Piłaszewicz O, Bąska P, Czopowicz M, Żmigrodzka M, Szarska E, Szczepaniak J, Nowak Z, Winnicka A, Cywińska A. Anti-inflammatory state in Arabian horses introduced to the endurance training. Animals 2019;9:616.
    doi: 10.3390/ani9090616pmc: PMC6769738pubmed: 31462005google scholar: lookup
  14. Plisak U, Szczepaniak J, Żmigrodzka M, Giercuszkiewicz-Hecold B, Witkowska-Piłaszewicz O. Changes in novel anti-infalmmatory cytokine concetration in the bood of endurance and race horses at different levels of training. Comput. Struct. Biotechnol. J. 2022;21:418–424.
    doi: 10.1016/j.csbj.2022.12.016pmc: PMC9798135pubmed: 36618977google scholar: lookup
  15. Grzędzicka J, Dąbrowska I, Malin K, Witkowska-Piłaszewicz O. Exercise-related changes in the anabolic index (testosterone to cortisol ratio) and serum amyloid A concentration in endurance and racehorses at different fitness levels. Front. Vet. Sci. 2023;10:1148990.
    doi: 10.3389/fvets.2023.1148990pmc: PMC10150884pubmed: 37138908google scholar: lookup
  16. Kamei Y, Hatazawa Y, Uchitomi R, Yoshimura R, Miura S. Regulation of skeletal muscle function by amino acids. Nutrients 2020;12:261.
    doi: 10.3390/nu12010261pmc: PMC7019684pubmed: 31963899google scholar: lookup
  17. 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
  18. Ott EC, Cavinder CA, Wang S, Smith T, Lemley CO, Dinh TTN. Oxidative stress biomarkers and free amino acid concentrations in the blood plasma of moderately exercised horses indicate adaptive response to prolonged exercise training. J. Anim. Sci. 2022;100:skac086.
    doi: 10.1093/jas/skac086pmc: PMC9030216pubmed: 35298640google scholar: lookup
  19. Westermann CM, Dorland L, Wijnberg ID, de Sain-van der Velden MGM, van Breda E, Barneveld A, de Graaf-Roelfsema E, Keizer HA, van der Kolk JH. 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
  20. Kusy K, Ciekot-Sołtysiak M, Matysiak J, Klupczyńska-Gabryszak A, Plewa S, Zarębska EA, Kokot ZJ, Dereziński P, Zieliński J. Changes in plasma free amino acid profile in endurance athletes over a 9-month training cycle. Metabolites 2024;14:353.
    doi: 10.3390/metabo14070353pmc: PMC11278538pubmed: 39057676google scholar: lookup
  21. Kusy K, Matysiak J, Zarębska EA, Klupczyńska-Gabryszak A, Ciekot-Sołtysiak M, Plewa S, Kokot ZJ, Dereziński P, Zieliński J. Changes in plasma concentration of free proteinogenic and non-proteinogenic amino acids in high-performance sprinters over a 6-Month training cycle. J. Clin. Med. 2024;13:5300.
    doi: 10.3390/jcm13175300pmc: PMC11395908pubmed: 39274513google scholar: lookup
  22. Kusy K, Matysiak J, Kokot ZJ, Ciekot-Sołtysiak M, Klupczyńska-Gabryszak A, Zarębska EA, Plewa S, Dereziński P, Zieliński J. Exercise-induced response of proteinogenic and non-proteinogenic plasma free amino acids is sport-specific: A comparison of sprint and endurance athletes. PLoS ONE 2024;19:e0309529.
  23. Kingsbury KJ, Kay L, Hjelm M. Contrasting plasma free amino acid patterns in elite athletes: Association with fatigue and infection. Br. J. Sports Med. 1998;32:25–32.
    doi: 10.1136/bjsm.32.1.25pmc: PMC1756055pubmed: 9562160google scholar: lookup
  24. Reemtsma FP, Giers J, Horstmann S, Stoeckle SD, Gehlen H. Concentration changes in plasma amino acids and their metabolites in Eventing horses during Cross-Country competitions. Animals 2025;15:1840.
    doi: 10.3390/ani15131840pmc: PMC12249093pubmed: 40646739google scholar: lookup
  25. Rump-Dierig I, Jensen C, Liedtke A, Gehlen H. Evaluating rider self-reports—Challenges in monitoring equine adaptation to training and competition in eventing by self-reports. Pferdeheilkunde–Equine Med. 2024;40:556–566.
  26. Frenzel C, Jensen KC, Gehlen H. Gewebedopplerechokardiographische Untersuchung der Myokardfunktion und kardialen Ermüdung (cardiac fatigue) beim Vielseitigkeitspferd. Pferdeheilkunde–Equine Med. 2024;40:440–448.
  27. . FEI Database. .
  28. Dunstan RH, Macdonald MM, Marks A, Sparkes DL, Roberts TK. Alterations in red blood cell parameters, plasma amino acids, total cholesterol and fatty acids in Standardbred horses undergoing fitness training. Comp. Exerc. Physiol. 2019;15:13–24.
    doi: 10.3920/CEP180045google scholar: lookup
  29. van den Baar MT, Fekkes D, van den Hoogenband CR, Duivenvoorden HJ, Pepplinkhuizen L. Plasma amino acids and sports injuries. Amino Acids 2004;26:71–76.
    doi: 10.1007/s00726-003-0008-xpubmed: 14752619google scholar: lookup
  30. Malsagova KA, Kopylov AT, Stepanov AA, Kulikova LI, Izotov AA, Yurku KA, Balakin EI, Pustovoyt VI, Kaysheva AL. Metabolomic and proteomic profiling of athletes performing physical activity under hypoxic conditions. Sports 2024;12:72.
    doi: 10.3390/sports12030072pmc: PMC10975304pubmed: 38535735google scholar: lookup
  31. Huq F, Thompson M, Ruell P. Changes in serum amino acid concentrations during prolonged endurance running. Jpn. J. Physiol. 1993;43:797–807.
    doi: 10.2170/jjphysiol.43.797pubmed: 8007448google scholar: lookup
  32. Trottier NL, Nielsen BD, Lang KJ, Ku PK, Schott HC. Equine endurance exercise alters serum branched-chain amino acid and alanine concentrations. Equine Vet. J. Suppl. 2002;34:168–172.
  33. Bergero D, Assenza A, Schiavone A, Piccione G, Perona G, Caola G. Amino acid concentrations in blood serum of horses performing long lasting low-intensity exercise. J. Anim. Physiol. Anim. Nutr. 2005;89:146–150.
  34. Arfuso F, Giannetto C, Interlandi C, Giudice E, Bruschetta A, Panzera MF, Piccione G. Dynamic metabolic response, clotting times and peripheral indices of central fatigue in horse competing in a 44 Km endurance race. J. Equine Vet. Sci. 2021;106:103753.
    doi: 10.1016/j.jevs.2021.103753pubmed: 34670693google scholar: lookup
  35. Arfuso F, Assenza A, Fazio F, Rizzo M, Giannetto C, Piccione G. Dynamic change of serum levels of some branched-chain amino acids and tryptophan in athletic horses after different physical exercises. J. Equine Vet. Sci. 2019;77:12–16.
    doi: 10.1016/j.jevs.2019.02.006pubmed: 31133304google scholar: lookup
  36. Assenza A, Bergero D, Tarantola M, Piccione G, Caola G. Blood serum branched chain amino acids and tryptophan modifications in horses competing in long-distance rides of different length. J. Anim. Physiol. Anim. Nutr. 2004;88:172–177.
  37. Dreyer HC, Drummond MJ, Pennings B, Fujita S, Glynn EL, Chinkes DL, Dhanani S, Volpi E, Rasmussen BB. Leucine-enriched essential amino acid and carbohydrate ingestion following resistance exercise enhances mTOR signaling and protein synthesis in human muscle. Am. J. Physiol. Endocrinol. Metab. 2008;294:392–400.
    doi: 10.1152/ajpendo.00582.2007pmc: PMC2706121pubmed: 18056791google scholar: lookup
  38. Xing J, Bou G, Liu G, Li X, Shen Y, Akhtar MF, Bai D, Zhao Y, Dugarjaviin M, Zhang X. Leucine promotes energy metabolism and stimulates slow-twitch muscle fibers expression through AMPK/mTOR signaling in equine skeletal muscle satellite cells. Comp. Biochem. Physiol. Part D Genom. Proteom. 2024;51:101249.
    doi: 10.1016/j.cbd.2024.101249pubmed: 38776751google scholar: lookup
  39. Xing J, Qi X, Liu G, Li X, Gao X, Bou G, Bai D, Zhao Y, Du M, Dugarjaviin M. A Transcriptomic regulatory network among miRNAs, lncRNAs, circRNAs, and mRNAs associated with L-leucine-induced proliferation of equine satellite cells. Animals 2023;13:208.
    doi: 10.3390/ani13020208pmc: PMC9854542pubmed: 36670748google scholar: lookup
  40. Xing J, Xie L, Qi X, Liu G, Akhtar MF, Li X, Bou G, Bai D, Zhao Y, Dugarjaviin M. Integrated analysis of transcriptome and proteome for exploring mechanism of promoting proliferation of equine satellite cells associated with leucine. Comp. Biochem. Physiol. Part D Genom. Proteom. 2023;48:101118.
    doi: 10.1016/j.cbd.2023.101118pubmed: 37633218google scholar: lookup
  41. DeBoer ML, Martinson KM, Pampusch MS, Hansen AM, Wells SM, Ward C, Hathaway M. Cultured equine satellite cells as a model system to assess leucine stimulated protein synthesis in horse muscle. J. Anim. Sci. 2018;96:143–153.
    doi: 10.1093/jas/skx028pmc: PMC6140856pubmed: 29444251google scholar: lookup
  42. Handschin C, Chin S, Li P, Liu F, Maratos-Flier E, Lebrasseur NK, Yan Z, Spiegelman BM. Skeletal muscle fiber-type switching, exercise intolerance, and myopathy in PGC-1alpha muscle-specific knock-out animals. J. Biol. Chem. 2007;282:30014–30021.
    doi: 10.1074/jbc.M704817200pubmed: 17702743google scholar: lookup
  43. Lamanna M, Buonaiuto G, Colleluori R, Raspa F, Valle E, Cavallini D. Time-activity budget in horses and ponies: A systematic review and meta-analysis on feeding dynamics and management implications. J. Equine Vet. Sci. 2025;154:105684.
    doi: 10.1016/j.jevs.2025.105684pubmed: 40912378google scholar: lookup
  44. Bordin C, Raspa F, Greppi M, Harris P, Ellis AD, Roggero A, Palestrini C, Cavallini D, Bergero D, Valle E. Pony feeding management: The role of morphology and hay feeding methods on intake rate, ingestive behaviors and mouth shaping. Front. Vet. Sci. 2024;11:1332207.
    doi: 10.3389/fvets.2024.1332207pmc: PMC11046934pubmed: 38681853google scholar: lookup
  45. Greppi M, Bordin C, Raspa F, Maccone E, Harris P, Ellis AD, Cavallini D, Bergero D, Valle E. Feeding behaviour related to different feeding devices. J. Anim. Physiol. Anim. Nutr. 2024;108:1393–1404.
    doi: 10.1111/jpn.13977pubmed: 38704815google scholar: lookup
  46. Cavallini D, Penazzi L, Valle E, Raspa F, Bergero D, Formigoni A, Fusaro I. When changing the hay makes a difference: A series of case reports. J. Equine Vet. Sci. 2022;113:103940.
    doi: 10.1016/j.jevs.2022.103940pubmed: 35341909google scholar: lookup
  47. Vinassa M, Cavallini D, Galaverna D, Baragli P, Raspa F, Nery J, Valle E. Palatability assessment in horses in relation to lateralization and temperament. Appl. Anim. Behav. Sci. 2020;232:105110.
  48. Dolan E, Swinton PA, Painelli VS, Stephens Hemingway B, Mazzolani B, Infante Smaira F, Saunders B, Artioli GG, Gualano B. A Systematic risk assessment and meta-analysis on the use of oral β-alanine supplementation. Adv. Nutr. 2019;10:452–463.
    doi: 10.1093/advances/nmy115pmc: PMC6520041pubmed: 30980076google scholar: lookup
  49. Dunnett M, Harris RC. Influence of oral beta-alanine and L-histidine supplementation on the carnosine content of the gluteus medius. Equine Vet. J. Suppl. 1999;30:499–504.
  50. 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
  51. Matthews JJ, Artioli GG, Turner MD, Sale C. The physiological roles of Carnosine and β-Alanine in exercising human skeletal muscle. Med. Sci. Sports Exerc. 2019;51:2098–2108.
    doi: 10.1249/MSS.0000000000002033pubmed: 31083045google scholar: lookup
  52. Li X, Ma J, Li H, Li H, Ma Y, Deng H, Yang K. Effect of β-alanine on the athletic performance and blood amino acid metabolism of speed-racing Yili horses. Front. Vet. Sci. 2024;11:1339940.
    doi: 10.3389/fvets.2024.1339940pmc: PMC10932971pubmed: 38482164google scholar: lookup

Citations

This article has been cited 0 times.