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Metabolites2020; 10(7); 298; doi: 10.3390/metabo10070298

Exercise Induced Changes in Salivary and Serum Metabolome in Trained Standardbred, Assessed by 1H-NMR.

Abstract: In the present study, data related to the metabolomics of saliva and serum in trained standardbred horses are provided for the first time. Metabolomic analysis allows to analyze all the metabolites within selected biofluids, providing a better understanding of biochemistry modifications related to exercise. On the basis of the current advances observed in metabolomic research on human athletes, we aimed to investigate the metabolites' profile of serum and saliva samples collected from healthy standardbred horses and the relationship with physical exercise. Twelve trained standardbred horses were sampled for blood and saliva before (T) and immediately after (T) standardized exercise. Metabolomic analysis of both samples was performed by H-NMR spectroscopy. Forty-six metabolites in serum and 62 metabolites in saliva were detected, including alcohols, amino acids, organic acids, carbohydrates and purine derivatives. Twenty-six and 14 metabolites resulted to be significantly changed between T and T in serum and saliva, respectively. The findings of 2-hydroxyisobutyrate and 3-hydroxybutyrate in serum and GABA in equine saliva, as well as their modifications following exercise, provide new insights about the physiology of exercise in athletic horses. Glycerol might represent a novel biomarker for fitness evaluation in sport horses.
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Publication Date: 2020-07-21 PubMed ID: 32708237PubMed Central: PMC7407172DOI: 10.3390/metabo10070298Google Scholar: Lookup
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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.

The research paper discusses a study conducted on the changes in saliva and serum metabolites in trained standardbred horses after they exercise, and these changes are analyzed using 1H-NMR spectroscopy. The study found different types of metabolites in both saliva and serum, including alcohols, amino acids, organic acids, carbohydrates, and purine derivatives. The findings suggested that 2-hydroxyisobutyrate, 3-hydroxybutyrate, and GABA could provide insights about the physiology of exercise in horses, and glycerol might be a new biomarker for fitness evaluation in sport horses.

Research Methodology

  • The research was conducted on twelve trained standardbred horses, selected for the study.
  • Saliva and serum samples from these horses were collected at two different time points – before and immediately after they underwent standardized physical exercises.
  • The metabolites in these samples were then analyzed using 1H-NMR spectroscopy, a method used to measure the quantity of metabolites in biofluids.
  • A total of 46 metabolites in serum and 62 metabolites in saliva were detected, encompassing a range of compound types including alcohols, amino acids, organic acids, carbohydrates, and purine derivatives.

Results of the Study

  • There were significant differences between the metabolite composition of serum and saliva samples taken before and after exercise.
  • Taken together, 26 metabolites in the serum and 14 in the saliva showed significant changes after exercise.
  • In the serum samples, 2-hydroxyisobutyrate and 3-hydroxybutyrate were detected, and their levels changed post-exercise. Similarly, the levels of GABA, a neurotransmitter that regulates muscle tone, changed in the saliva samples after exercise.
  • The researchers suggested that the changes in these metabolites might provide new insights into the physiology of exercise in horses.

Significance and Potential Applications of the Study

  • The study provides first-time data on the metabolomics of saliva and serum in trained horses, contributing towards a better understanding of biochemical changes due to exercise.
  • The finding that the levels of 2-hydroxyisobutyrate, 3-hydroxybutyrate, and GABA in serum and saliva respectively change with exercise helps to enhance our understanding of the physiological response to exercise in horses, which could potentially lead to more effective training methods and care for athletic horses.
  • Moreover, the study highlights glycerol – a compound that changed significantly with exercise – as a potential novel biomarker for assessing fitness in sport horses, suggesting possible practical applications of metabolite analysis in equine sport medicine and performance analysis.

Cite This Article

APA
Bazzano M, Laghi L, Zhu C, Lotito E, Sgariglia S, Tesei B, Laus F. (2020). Exercise Induced Changes in Salivary and Serum Metabolome in Trained Standardbred, Assessed by 1H-NMR. Metabolites, 10(7), 298. https://doi.org/10.3390/metabo10070298

Publication

Metabolites
ISSN: 2218-1989
NlmUniqueID: 101578790
Country: Switzerland
Language: English
Volume: 10
Issue: 7
PII: 298

Researcher Affiliations

Bazzano, Marilena
  • School of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione, 93/95, 62024 Matelica, Italy.
Laghi, Luca
  • Department of Agricultural and Food Sciences, University of Bologna, 47521 Cesena, Italy.
Zhu, Chenglin
  • Department of Agricultural and Food Sciences, University of Bologna, 47521 Cesena, Italy.
Lotito, Enrica
  • School of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione, 93/95, 62024 Matelica, Italy.
Sgariglia, Stefano
  • Practitioner, 63900 Fermo, Italy.
Tesei, Beniamino
  • School of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione, 93/95, 62024 Matelica, Italy.
Laus, Fulvio
  • School of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione, 93/95, 62024 Matelica, Italy.

Conflict of Interest Statement

The authors declare no conflict of interest.

References

This article includes 63 references
  1. Dunn WB, Broadhurst DI, Atherton HJ, Goodacre R, Griffin JL. Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy.. Chem Soc Rev 2011 Jan;40(1):387-426.
    doi: 10.1039/B906712Bpubmed: 20717559google scholar: lookup
  2. Gorostiaga EM, Navarro-Amézqueta I, Calbet JA, Hellsten Y, Cusso R, Guerrero M, Granados C, González-Izal M, Ibañez J, Izquierdo M. Energy metabolism during repeated sets of leg press exercise leading to failure or not.. PLoS One 2012;7(7):e40621.
    doi: 10.1371/journal.pone.0040621pmc: PMC3396634pubmed: 22808209google scholar: lookup
  3. Schoenfeld BJ. Potential mechanisms for a role of metabolic stress in hypertrophic adaptations to resistance training.. Sports Med 2013 Mar;43(3):179-94.
    doi: 10.1007/s40279-013-0017-1pubmed: 23338987google scholar: lookup
  4. Tesch PA, Colliander EB, Kaiser P. Muscle metabolism during intense, heavy-resistance exercise.. Eur J Appl Physiol Occup Physiol 1986;55(4):362-6.
    doi: 10.1007/BF00422734pubmed: 3758035google scholar: lookup
  5. Mendez-Villanueva A, Edge J, Suriano R, Hamer P, Bishop D. The recovery of repeated-sprint exercise is associated with PCr resynthesis, while muscle pH and EMG amplitude remain depressed.. PLoS One 2012;7(12):e51977.
    doi: 10.1371/journal.pone.0051977pmc: PMC3524088pubmed: 23284836google scholar: lookup
  6. Psychogios N, Hau DD, Peng J, Guo AC, Mandal R, Bouatra S, Sinelnikov I, Krishnamurthy R, Eisner R, Gautam B, Young N, Xia J, Knox C, Dong E, Huang P, Hollander Z, Pedersen TL, Smith SR, Bamforth F, Greiner R, McManus B, Newman JW, Goodfriend T, Wishart DS. The human serum metabolome.. PLoS One 2011 Feb 16;6(2):e16957.
    doi: 10.1371/journal.pone.0016957pmc: PMC3040193pubmed: 21359215google scholar: lookup
  7. Ryan D, Robards K. Metabolomics: The greatest omics of them all?. Anal Chem 2006 Dec 1;78(23):7954-8.
    doi: 10.1021/ac0614341pubmed: 17134127google scholar: lookup
  8. Berton R, Conceição MS, Libardi CA, Canevarolo RR, Gáspari AF, Chacon-Mikahil MP, Zeri AC, Cavaglieri CR. Metabolic time-course response after resistance exercise: A metabolomics approach.. J Sports Sci 2017 Jun;35(12):1211-1218.
    doi: 10.1080/02640414.2016.1218035pubmed: 27686013google scholar: lookup
  9. Contreras-Aguilar MD, Escribano D, Martínez-Subiela S, Martín-Cuervo M, Lamy E, Tecles F, Cerón JJ. Changes in saliva analytes in equine acute abdominal disease: a sialochemistry approach.. BMC Vet Res 2019 Jun 6;15(1):187.
    doi: 10.1186/s12917-019-1933-6pmc: PMC6554884pubmed: 31170977google scholar: lookup
  10. Ghizoni JS, Nichele R, de Oliveira MT, Pamato S, Pereira JR. The utilization of saliva as an early diagnostic tool for oral cancer: microRNA as a biomarker.. Clin Transl Oncol 2020 Jun;22(6):804-812.
    doi: 10.1007/s12094-019-02210-ypubmed: 31562585google scholar: lookup
  11. Greabu M, Battino M, Mohora M, Totan A, Didilescu A, Spinu T, Totan C, Miricescu D, Radulescu R. Saliva--a diagnostic window to the body, both in health and in disease.. J Med Life 2009 Apr-Jun;2(2):124-32.
    pmc: PMC3018981pubmed: 20108531
  12. Tecles F, Escribano D, Martínez-Miró S, Hernández F, Contreras MD, Cerón JJ. Cholinesterase in porcine saliva: Analytical characterization and behavior after experimental stress.. Res Vet Sci 2016 Jun;106:23-8.
    doi: 10.1016/j.rvsc.2016.03.006pubmed: 27234531google scholar: lookup
  13. Tecles F, Contreras-Aguilar MD, Martínez-Miró S, Tvarijonaviciute A, Martínez-Subiela S, Escribano D, Cerón JJ. Total esterase measurement in saliva of pigs: Validation of an automated assay, characterization and changes in stress and disease conditions.. Res Vet Sci 2017 Oct;114:170-176.
    doi: 10.1016/j.rvsc.2017.04.007pubmed: 28441610google scholar: lookup
  14. Tecles F, Rubio CP, Contreras-Aguilar MD, López-Arjona M, Martínez-Miró S, Martínez-Subiela S, Cerón JJ. Adenosine deaminase activity in pig saliva: analytical validation of two spectrophotometric assays.. J Vet Diagn Invest 2018 Jan;30(1):175-179.
    doi: 10.1177/1040638717742947pmc: PMC6504151pubmed: 29145785google scholar: lookup
  15. Contreras-Aguilar MD, Escribano D, Quiles A, López-Arjona M, Cerón JJ, Martínez-Subiela S, Hevia ML, Tecles F. Evaluation of new biomarkers of stress in saliva of sheep.. Animal 2019 Jun;13(6):1278-1286.
    doi: 10.1017/S1751731118002707pubmed: 30362447google scholar: lookup
  16. Contreras-Aguilar MD, Escribano D, Martín-Cuervo M, Tecles F, Cerón JJ. Salivary alpha-amylase activity and cortisol in horses with acute abdominal disease: a pilot study.. BMC Vet Res 2018 May 10;14(1):156.
    doi: 10.1186/s12917-018-1482-4pmc: PMC5946548pubmed: 29747642google scholar: lookup
  17. Barranco T, Tvarijonaviciute A, Tecles F, Carrillo JM, Sánchez-Resalt C, Jimenez-Reyes P, Rubio M, García-Balletbó M, Cerón JJ, Cugat R. Changes in creatine kinase, lactate dehydrogenase and aspartate aminotransferase in saliva samples after an intense exercise: a pilot study.. J Sports Med Phys Fitness 2018 Jun;58(6):910-916.
    pubmed: 28480688doi: 10.23736/s0022-4707.17.07214-0google scholar: lookup
  18. Jacobsen S, Top Adler DM, Bundgaard L, Sørensen MA, Andersen PH, Bendixen E. The use of liquid chromatography tandem mass spectrometry to detect proteins in saliva from horses with and without systemic inflammation.. Vet J 2014 Dec;202(3):483-8.
    pubmed: 25296850doi: 10.1016/j.tvjl.2014.08.032google scholar: lookup
  19. Bilancio G, Cavallo P, Lombardi C, Guarino E, Cozza V, Giordano F, Palladino G, Cirillo M. Salivary levels of phosphorus and urea as indices of their plasma levels in nephropathic patients.. J Clin Lab Anal 2018 Sep;32(7):e22449.
    doi: 10.1002/jcla.22449pmc: PMC6816964pubmed: 29603373google scholar: lookup
  20. de Sousa-Pereira P, Cova M, Abrantes J, Ferreira R, Trindade F, Barros A, Gomes P, Colaço B, Amado F, Esteves PJ, Vitorino R. Cross-species comparison of mammalian saliva using an LC-MALDI based proteomic approach.. Proteomics 2015 May;15(9):1598-607.
    doi: 10.1002/pmic.201400083pubmed: 25641928google scholar: lookup
  21. Pitti E, Petrella G, Di Marino S, Summa V, Perrone M, D'Ottavio S, Bernardini A, Cicero DO. Salivary Metabolome and Soccer Match: Challenges for Understanding Exercise induced Changes.. Metabolites 2019 Jul 11;9(7).
    doi: 10.3390/metabo9070141pmc: PMC6680540pubmed: 31336760google scholar: lookup
  22. Navas de Solis C. Cardiovascular Response to Exercise and Training, Exercise Testing in Horses.. Vet Clin North Am Equine Pract 2019 Apr;35(1):159-173.
    doi: 10.1016/j.cveq.2018.11.003pubmed: 30871829google scholar: lookup
  23. Bazzano M, Giudice E, Rizzo M, Congiu F, Zumbo A, Arfuso F, Di Pietro S, Bruschetta D, Piccione G. Application of a combined global positioning and heart rate monitoring system in jumper horses during an official competition - A preliminary study.. Acta Vet Hung 2016 Jun;64(2):189-200.
    pubmed: 27342090doi: 10.1556/004.2016.019google scholar: lookup
  24. Munsters CC, van Iwaarden A, van Weeren R, Sloet van Oldruitenborgh-Oosterbaan MM. Exercise testing in Warmblood sport horses under field conditions.. Vet J 2014 Oct;202(1):11-9.
    pubmed: 25172838doi: 10.1016/j.tvjl.2014.07.019google scholar: lookup
  25. Luck MM, Le Moyec L, Barrey E, Triba MN, Bouchemal N, Savarin P, Robert C. Energetics of endurance exercise in young horses determined by nuclear magnetic resonance metabolomics.. Front Physiol 2015;6:198.
    pmc: PMC4544308pubmed: 26347654doi: 10.3389/fphys.2015.00198google scholar: lookup
  26. Mach N, Ramayo-Caldas Y, Clark A, Moroldo M, Robert C, Barrey E, López JM, Le Moyec L. Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses.. BMC Genomics 2017 Feb 17;18(1):187.
    doi: 10.1186/s12864-017-3571-3pmc: PMC5316211pubmed: 28212624google scholar: lookup
  27. Laghi L, Picone G, Capozzi F. Nuclear magnetic resonance for foodomics beyond food anaysis. Trend Anal. Chem. 2014;59:93–102.
  28. Wishart DS, Jewison T, Guo AC, Wilson M, Knox C, Liu Y, Djoumbou Y, Mandal R, Aziat F, Dong E, Bouatra S, Sinelnikov I, Arndt D, Xia J, Liu P, Yallou F, Bjorndahl T, Perez-Pineiro R, Eisner R, Allen F, Neveu V, Greiner R, Scalbert A. HMDB 3.0--The Human Metabolome Database in 2013.. Nucleic Acids Res 2013 Jan;41(Database issue):D801-7.
    doi: 10.1093/nar/gks1065pmc: PMC3531200pubmed: 23161693google scholar: lookup
  29. Nieman DC, Shanely RA, Gillitt ND, Pappan KL, Lila MA. Serum metabolic signatures induced by a three-day intensified exercise period persist after 14 h of recovery in runners.. J Proteome Res 2013 Oct 4;12(10):4577-84.
    pubmed: 23984841doi: 10.1021/pr400717jgoogle scholar: lookup
  30. Lewis GD, Farrell L, Wood MJ, Martinovic M, Arany Z, Rowe GC, Souza A, Cheng S, McCabe EL, Yang E, Shi X, Deo R, Roth FP, Asnani A, Rhee EP, Systrom DM, Semigran MJ, Vasan RS, Carr SA, Wang TJ, Sabatine MS, Clish CB, Gerszten RE. Metabolic signatures of exercise in human plasma.. Sci Transl Med 2010 May 26;2(33):33ra37.
    pmc: PMC3010398pubmed: 20505214doi: 10.1126/scitranslmed.3001006google scholar: lookup
  31. Nelson DL, Cox MM. Lehninger Principles of Biochemistry. 7th ed. W.H. Freeman & Company; New York, NY, USA: USA; 2016. p. 612. International ed..
  32. Gorostiaga EM, Navarro-Amézqueta I, Calbet JA, Sánchez-Medina L, Cusso R, Guerrero M, Granados C, González-Izal M, Ibáñez J, Izquierdo M. Blood ammonia and lactate as markers of muscle metabolites during leg press exercise.. J Strength Cond Res 2014 Oct;28(10):2775-85.
    doi: 10.1519/JSC.0000000000000496pubmed: 24736776google scholar: lookup
  33. Harris RA. Carbohydrate Metabolism: Major Metabolic Pathways and their Control. In: Devlin TM, editor. Textbook of Biochemistry with Clinical Correlation. 4th ed. Wiley-Liss; New York, NY, USA: 1997. pp. 268–317.
  34. Krog-Mikkelsen I, Hels O, Tetens I, Holst JJ, Andersen JR, Bukhave K. The effects of L-arabinose on intestinal sucrase activity: dose-response studies in vitro and in humans.. Am J Clin Nutr 2011 Aug;94(2):472-8.
    doi: 10.3945/ajcn.111.014225pubmed: 21677059google scholar: lookup
  35. Décombaz J, Jentjens R, Ith M, Scheurer E, Buehler T, Jeukendrup A, Boesch C. Fructose and galactose enhance postexercise human liver glycogen synthesis.. Med Sci Sports Exerc 2011 Oct;43(10):1964-71.
    pubmed: 21407126doi: 10.1249/mss.0b013e318218ca5agoogle scholar: lookup
  36. Felig P, Wahren J. Amino acid metabolism in exercising man.. J Clin Invest 1971 Dec;50(12):2703-14.
    doi: 10.1172/JCI106771pmc: PMC292220pubmed: 5129318google scholar: lookup
  37. Coomes MW. Amino Acid Metabolism. In: Devlin TM, editor. Textbook of Biochemistry with Clinical Correlation. 4th ed. Wiley-Liss; New York, NY, USA: 1997. pp. 446–483.
  38. Sutton EE, Coill MR, Deuster PA. Ingestion of tyrosine: effects on endurance, muscle strength, and anaerobic performance.. Int J Sport Nutr Exerc Metab 2005 Apr;15(2):173-85.
    doi: 10.1123/ijsnem.15.2.173pubmed: 16089275google scholar: lookup
  39. Pundir CS, Deswal R, Kumar P. Quantitative analysis of sarcosine with special emphasis on biosensors: a review.. Biomarkers 2019 Jul;24(5):415-422.
    pubmed: 31050554doi: 10.1080/1354750x.2019.1615124google scholar: lookup
  40. Bazzano M, Laghi L, Zhu C, Magi GE, Serri E, Spaterna A, Tesei B, Laus F. Metabolomics of tracheal wash samples and exhaled breath condensates in healthy horses and horses affected by equine asthma.. J Breath Res 2018 Sep 27;12(4):046015.
    doi: 10.1088/1752-7163/aade13pubmed: 30168442google scholar: lookup
  41. Olson MS. Bioenergetics and Oxidative Metabolism. In: Devlin TM, editor. Textbook of Biochemistry with Clinical Correlation. 4th ed. Wiley-Liss; New York, NY, USA: 1997. pp. 218–261.
  42. Dame ZT, Aziat F, Mandal R, Krishnamurthy R, Bouatra S, Borzouie S, Guo AC, Tanvir Sajed T, Deng L, Lin H. The human saliva metabolome. Metabolomics 2015;11:1864–1883.
    doi: 10.1007/s11306-015-0840-5google scholar: lookup
  43. Duarte IF, Goodfellow BJ, Barros A, Jones JG, Barosa C, Diogo L, Garcia P, Gil AM. Metabolic characterisation of plasma in juveniles with glycogen storage disease type 1a (GSD1a) by high-resolution (1)H NMR spectroscopy.. NMR Biomed 2007 Jun;20(4):401-12.
    doi: 10.1002/nbm.1073pubmed: 17149801google scholar: lookup
  44. Laborde CM, Mourino-Alvarez L, Posada-Ayala M, Alvarez-Llamas G, Serranillos-Reus MG, Moreu J, Vivanco F, Padial LR, Barderas MG. Plasma metabolomics reveals a potential panel of biomarkers for early diagnosis in acute coronary syndrome.. Metabolomics 2014;10(3):414-424.
    doi: 10.1007/s11306-013-0595-9pmc: PMC4363481pubmed: 25814918google scholar: lookup
  45. Trushina E, Dutta T, Persson XM, Mielke MM, Petersen RC. Identification of altered metabolic pathways in plasma and CSF in mild cognitive impairment and Alzheimer's disease using metabolomics.. PLoS One 2013;8(5):e63644.
    doi: 10.1371/journal.pone.0063644pmc: PMC3658985pubmed: 23700429google scholar: lookup
  46. Koolman J, Roehm KH. Color. Atlas of Biochemistry. 2nd ed. Thieme; Stuttgart, Germany: 2005. p. 352.
  47. Marukawa H, Shimomura T, Takahashi K. Salivary substance P, 5-hydroxytryptamine, and gamma-aminobutyric acid levels in migraine and tension-type headache.. Headache 1996 Feb;36(2):100-04.
    doi: 10.1046/j.1526-4610.1996.3602101.xpubmed: 8742682google scholar: lookup
  48. Jezewska E, Scinska A, Kukwa W, Sobolewska A, Turzynska D, Samochowiec J, Bienkowski P. Gamma-aminobutyric acid concentrations in benign parotid tumours and unstimulated parotid saliva.. J Laryngol Otol 2011 May;125(5):492-6.
    doi: 10.1017/S0022215110002574pubmed: 21205370google scholar: lookup
  49. Sawaki K, Ouchi K, Sato T, Kawaguchi M. Existence of gamma-aminobutyric acid and its biosynthetic and metabolic enzymes in rat salivary glands.. Jpn J Pharmacol 1995 Apr;67(4):359-63.
    doi: 10.1254/jjp.67.359pubmed: 7650868google scholar: lookup
  50. Okubo M, Kawaguchi M. Rat submandibular gland perfusion method for clarifying inhibitory regulation of GABAA receptor.. J Pharmacol Sci 2013;122(1):42-50.
    doi: 10.1254/jphs.12241FPpubmed: 23685805google scholar: lookup
  51. Bizzarri M, Fuso A, Dinicola S, Cucina A, Bevilacqua A. Pharmacodynamics and pharmacokinetics of inositol(s) in health and disease.. Expert Opin Drug Metab Toxicol 2016 Oct;12(10):1181-96.
    doi: 10.1080/17425255.2016.1206887pubmed: 27351907google scholar: lookup
  52. Gilmore AP, Burridge K. Regulation of vinculin binding to talin and actin by phosphatidyl-inositol-4-5-bisphosphate.. Nature 1996 Jun 6;381(6582):531-5.
    doi: 10.1038/381531a0pubmed: 8632828google scholar: lookup
  53. Hallman M, Spragg R, Harrell JH, Moser KM, Gluck L. Evidence of lung surfactant abnormality in respiratory failure. Study of bronchoalveolar lavage phospholipids, surface activity, phospholipase activity, and plasma myoinositol.. J Clin Invest 1982 Sep;70(3):673-83.
    doi: 10.1172/JCI110662pmc: PMC370271pubmed: 6896715google scholar: lookup
  54. Benesch R, Benesch RE. The effect of organic phosphates from the human erythrocyte on the allosteric properties of hemoglobin.. Biochem Biophys Res Commun 1967 Jan 23;26(2):162-7.
    doi: 10.1016/0006-291X(67)90228-8pubmed: 6030262google scholar: lookup
  55. Lam G, Zhao S, Sandhu J, Yi R, Loganathan D, Morrissey B. Detection of myo-inositol tris pyrophosphate (ITPP) in equine following an administration of ITPP.. Drug Test Anal 2014 Mar;6(3):268-76.
    pubmed: 23733541doi: 10.1002/dta.1473google scholar: lookup
  56. Bazzano M, Laghi L, Zhu C, Magi GE, Tesei B, Laus F. Respiratory metabolites in bronchoalveolar lavage fluid (BALF) and exhaled breath condensate (EBC) can differentiate horses affected by severe equine asthma from healthy horses.. BMC Vet Res 2020 Jul 8;16(1):233.
    doi: 10.1186/s12917-020-02446-9pmc: PMC7346432pubmed: 32641035google scholar: lookup
  57. Carroll CL, Huntington PJ. Body condition scoring and weight estimation of horses.. Equine Vet J 1988 Jan;20(1):41-5.
    doi: 10.1111/j.2042-3306.1988.tb01451.xpubmed: 3366105google scholar: lookup
  58. Zhu C, Faillace V, Laus F, Bazzano M, Laghi L. Characterization of trotter horses urine metabolome by means of proton nuclear magnetic resonance spectroscopy.. Metabolomics 2018 Aug 3;14(8):106.
    doi: 10.1007/s11306-018-1403-3pubmed: 30830366google scholar: lookup
  59. Kneen MA, Annegarn HJ. Algorithm for fitting XRF, SEM and PIXE X-ray spectra backgrounds. Nucl. Instrum. Methods Phys. Res. Sect. B Beam Interact. Mater. At. 1996;109–110:209–213.
    doi: 10.1016/0168-583X(95)00908-6google scholar: lookup
  60. Box GEP, Cox DR. An Analysis of Transformations. J. R. Stat. Soc. Ser. B. 2018;26:211–243.
    doi: 10.1111/j.2517-6161.1964.tb00553.xgoogle scholar: lookup
  61. Hubert M, Rousseeuw PJ, Vanden Branden K. ROBPCA: A new approach to robust principal component analysis. Technometrics 2005;47:64–79.
    doi: 10.1198/004017004000000563google scholar: lookup
  62. Croft D, Mundo AF, Haw R, Milacic M, Weiser J, Wu G, Caudy M, Garapati P, Gillespie M, Kamdar MR, Jassal B, Jupe S, Matthews L, May B, Palatnik S, Rothfels K, Shamovsky V, Song H, Williams M, Birney E, Hermjakob H, Stein L, D'Eustachio P. The Reactome pathway knowledgebase.. Nucleic Acids Res 2014 Jan;42(Database issue):D472-7.
    doi: 10.1093/nar/gkt1102pmc: PMC3965010pubmed: 24243840google scholar: lookup
  63. Johnson NL, Kotz S, Kemp AW. Univariate Discrete Distributions. 2nd ed. Wiley; New York, NY, USA: 2005.

Citations

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  1. Adepu S, Lord M, Hugoh Z, Nyström S, Mattsson-Hulten L, Abrahamsson-Aurell K, Lützelschwab C, Skiöldebrand E. Salivary biglycan-neo-epitope-BGN(262): A novel surrogate biomarker for equine osteoarthritic sub-chondral bone sclerosis and to monitor the effect of short-term training and surface arena. Osteoarthr Cartil Open 2023 Jun;5(2):100354.
    doi: 10.1016/j.ocarto.2023.100354pubmed: 36968250google scholar: lookup
  2. Tamura N, Mizuno K, Suzuki R, Sugimoto M, Enomoto A, Ota S, Kaneko M, Sakagami H, Takeshima H. Effect of Underwater Exercise on Salivary Metabolites of Older Persons With Disability. In Vivo 2022 Nov-Dec;36(6):2678-2688.
    doi: 10.21873/invivo.13003pubmed: 36309405google scholar: lookup
  3. Corradini I, Jose-Cunilleras E, Nolis P, López-Murcia MM, Mayordomo-Febrer A. Exploratory Metabolomic Fingerprinting of Aqueous Humor in Healthy Horses and Donkeys, and in Horses with Ocular Pathologies. Animals (Basel) 2025 Sep 26;15(19).
    doi: 10.3390/ani15192810pubmed: 41096405google scholar: lookup
  4. Nilsson E, Moazzami AA, Lindberg JE, Jansson A. The metabolomic profile of a high starch versus no starch diet in athletic horses. Sci Rep 2025 Oct 13;15(1):35576.
    doi: 10.1038/s41598-025-23422-zpubmed: 41083709google scholar: lookup
  5. Bazzano M, Marchegiani A, La Gualana F, Petriti B, Petrucelli M, Accorroni L, Laus F. Competition and stereotypic behavior in Thoroughbred horses: The value of saliva as a diagnostic marker of stress. PLoS One 2024;19(10):e0311697.
    doi: 10.1371/journal.pone.0311697pubmed: 39374248google scholar: lookup
  6. Laus F, Bazzano M, Spaterna A, Laghi L, Marchegiani A. Nuclear Magnetic Resonance (NMR) Metabolomics: Current Applications in Equine Health Assessment. Metabolites 2024 May 7;14(5).
    doi: 10.3390/metabo14050269pubmed: 38786746google scholar: lookup
  7. Bazzano M, Marchegiani A, La Gualana F, Petriti B, Spaterna A, Laus F. Salivary analysis to unveil the paradigma of stress of domestic horses reared in the wild. Sci Rep 2024 May 17;14(1):11266.
    doi: 10.1038/s41598-024-62172-2pubmed: 38760454google scholar: lookup
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