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Home / Equine Research Bank / Reprod Domest Anim / Exploring the metabolome of seminal plasma in two different ...
Reproduction in domestic animals = Zuchthygiene2022; 58(1); 109-116; doi: 10.1111/rda.14270

Exploring the metabolome of seminal plasma in two different horse types: Light versus draft stallions.

Abstract: The application of the 'omics' studies in the field of animal reproduction has been aimed at identifying novel biomarkers of fertility since the last few years. When assessing reproductive efficiency in horses, breed should also be taken into account as it can influence semen quality and fertility. Considering the growing interest in metabolomic analysis to evaluate male fertility, we aimed to investigate the metabolomic profile of seminal plasma in two different horse breeds. Twelve healthy stallions, n.6 American Quarter Horse (AQH) and n.6 Italian Draft Horse (IDH) stallions, regularly used for artificial insemination, were included in the study. Two semen collections, performed 30-day apart, were considered for the assessment of semen parameters including gel-free volume, spermatozoa (spz) concentration, spz progressive motility and seminal plasma analysis by 1 H-NMR.Semen characteristics differed between IDH and AQH (p < .05) as well as the first cycle conception rate that was higher in AQH than IDH (p = .001). Metabolomic analysis quantified 56 molecules in equine seminal plasma, with 11 metabolites showing different concentrations in IDH compared to AQH (p < .05).This study provided evidence of differences in seminal plasma metabolites' concentrations between studied horse types, highlighting specific metabolomic fingerprints characterizing AQH and IDH sperm.
© 2022 The Authors. Reproduction in Domestic Animals published by Wiley-VCH GmbH.
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Publication Date: 2022-10-03 PubMed ID: 36151924PubMed Central: PMC10092496DOI: 10.1111/rda.14270Google Scholar: Lookup
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Summary

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The research aims to explore the metabolomic profile of seminal plasma in two different horse breeds to establish potential biomarkers of fertility. The study found noticeable differences in the concentrations of specific seminal plasma metabolites between American Quarter Horse and Italian Draft Horse stallions.

Research Details

  • The study was driven by the growing interest in utilizing metabolomic analysis in the assessment of male fertility, specifically among different breeds of horses. It follows previous research that suggests the breed of a horse could have an influence on its semen quality and fertility.
  • Twelve healthy stallions were used for the examination – 6 American Quarter Horse (AQH) and 6 Italian Draft Horse (IDH) stallions, which are used regularly for artificial insemination.
  • The examination involved two semen collection sessions, with a 30-day interval in between. The researchers considered several semen parameters, including gel-free volume, sperm concentration, sperm progressive motility, and seminal plasma analysis performed using Hydrogen Nuclear Magnetic Resonance (H-NMR).

Observations and Conclusions

  • The semen characteristics exhibited differences between the IDH and the AQH, such as varied levels of sperm concentration and motility. Also, the first cycle conception rate was noted to be higher in the AQH than the IDH.
  • The metabolomic analysis identified 56 molecules in the equine seminal plasma. Among these, 11 metabolites displayed different concentration levels in the IDH stallions when compared to the AQH stallions.
  • The researchers concluded that there are differences in the concentrations of seminal plasma metabolites between the two types of horses. These differences signify specific metabolomic fingerprints that characterize the semen of AQH and IDH.
  • This study shares useful insights for future research aimed at determining potential biomarkers of fertility in animals. It also provides a basis for further metabolomic analysis studies in different horse breeds for fertility evaluation.

Cite This Article

APA
Bazzano M, Zhu C, Laus F, Giambattista AD, Laghi L. (2022). Exploring the metabolome of seminal plasma in two different horse types: Light versus draft stallions. Reprod Domest Anim, 58(1), 109-116. https://doi.org/10.1111/rda.14270

Publication

Reproduction in domestic animals = Zuchthygiene
ISSN: 1439-0531
NlmUniqueID: 9015668
Country: Germany
Language: English
Volume: 58
Issue: 1
Pages: 109-116

Researcher Affiliations

Bazzano, Marilena
  • School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Zhu, Chenglin
  • Department of Agricultural and Food Sciences, University of Bologna, Cesena, Italy.
Laus, Fulvio
  • School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Giambattista, Andrea Di
  • School of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Laghi, Luca
  • Department of Agricultural and Food Sciences, University of Bologna, Cesena, Italy.

MeSH Terms

  • Male
  • Horses
  • Animals
  • Semen / metabolism
  • Semen Analysis / veterinary
  • Spermatozoa / metabolism
  • Sperm Count / veterinary
  • Sperm Motility
  • Semen Preservation / veterinary
  • Metabolome

Conflict of Interest Statement

None of the authors have any conflict of interest to declare.

References

This article includes 43 references
  1. Baumber‐Skaife J. Semen evaluation. In McKinnon A. O. & Squires E. L. (Eds.), Equine reproduction (2nd ed., pp. 1278–1291).
  2. Bieniek J M, Drabovich A P, Lo K C. Seminal biomarkers for the evaluation of male infertility. Asian Journal of Andrology 18, 426–433.
    doi: 10.4103/1008-682X.175781pmc: PMC4854096pubmed: 26975492google scholar: lookup
  3. Bone W, Jones N, Kamp G, Yeung C, Cooper T. Effect of ornidazole on fertility of male rats: Inhibition of a glycolysis‐related motility pattern and zona binding required for fertilization in vitro. Reproduction 118(1), 127–135.
    doi: 10.1530/jrf.0.1180127pubmed: 10793634google scholar: lookup
  4. Box G E P, Cox D R. An analysis of transformations. Journal of the Royal Statistical Society: Series B: Methodological 26(2), 211–243.
    doi: 10.1111/j.2517-6161.1964.tb00553.xgoogle scholar: lookup
  5. Courant F, Antignac J P, Monteau F, Le Bizec B. Metabolomics as a potential new approach for investigating human reproductive disorders. Journal of Proteome Research 12(6), 2914–2920.
    doi: 10.1021/pr400204qpubmed: 23651426google scholar: lookup
  6. Deepinder F, Chowdary H T, Agarwal A. Role of metabolomic analysis of biomarkers in the management of male infertility. Expert Review of Molecular Diagnostics 7(4), 351–358.
    doi: 10.1586/14737159.7.4.351pubmed: 17620044google scholar: lookup
  7. Dieterle F, Ross A, Schlotterbeck G, Senn H. Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabonomics. Analytical Chemistry 78(13), 4281–4290.
    doi: 10.1021/ac051632cpubmed: 16808434google scholar: lookup
  8. Dreanno C, Seguin F, Cosson J, Suquet M, Billard R. 1H‐NMR and (31)P‐NMR analysis of energy metabolism of quiescent and motile turbot (Psetta maxima) spermatozoa. The Journal of Experimental Zoology 286(5), 513–522.
    doi: 10.1002/(sici)1097-010x(20000401)286:5<513::aid-jez9>3.0.co;2-5pubmed: 10684575google scholar: lookup
  9. Engel K M, Baumann S, Rolle‐Kampczyk U, Schiller J, von Bergen M, Grunewald S. Metabolomic profiling reveals correlations between spermiogram parameters and the metabolites present in human spermatozoa and seminal plasma. PLoS One 14(2), 1–27.
    doi: 10.1371/journal.pone.0211679pmc: PMC6382115pubmed: 30785892google scholar: lookup
  10. Ford W C L, Harrison A. The role of citrate in determining the activity of calcium ions in human semen. International Journal of Andrology 7(3), 198–202.
    doi: 10.1111/j.1365-2605.1984.tb00777.xpubmed: 6480141google scholar: lookup
  11. Foschi C, Laghi L, D'Antuono A, Gaspari V, Zhu C, Dellarosa N, Salvo M, Marangoni A. Urine metabolome in women with chlamydia trachomatis infection. PLoS One 13(3), 0194827.
    doi: 10.1371/journal.pone.0194827pmc: PMC5864028pubmed: 29566085google scholar: lookup
  12. Goodson S G, Qiu Y, Sutton K A, Xie G, Jia W, O'Brien D A. Metabolic substrates exhibit differential effects on functional parameters of mouse sperm capacitation1. Biology of Reproduction 87(3), 75.
    doi: 10.1095/biolreprod.112.102673pmc: PMC3464911pubmed: 22837480google scholar: lookup
  13. Gottschalk M, Sieme H, Martinsson G, Distl O. Analysis of breed effects on semen traits in light horse, warmblood, and draught horse breeds. Theriogenology 85(8), 1375–1381.
    doi: 10.1016/j.theriogenology.2015.11.030pubmed: 26893165google scholar: lookup
  14. Hart R G. Cowper's gland secretion in rat semen coagulation. I. Isolation and amino acid analysis of the seminal vesicle substrate. Biology of Reproduction 3(3), 347–352.
    doi: 10.1093/biolreprod/3.3.347pubmed: 5522861google scholar: lookup
  15. Hoskins D D, Patterson D L. Prevention of coagulum formation with recovery of motile spermatozoa from rhesus monkey semen. Journal of Reproduction and Fertility 13(2), 337–340.
    doi: 10.1530/jrf.0.0130337pubmed: 4960619google scholar: lookup
  16. Hubert M, Rousseeuw P J, Vanden Branden K. ROBPCA: A new approach to robust principal component analysis. Technometrics 47(1), 64–79.
    doi: 10.1198/004017004000000563google scholar: lookup
  17. Huggins C, Neal W. Coagulation and liqtion of semen: Proteolytic enzymes and citrate in prostatic fluid. Journal of Experimental Medicine 76(6), 527–540.
    doi: 10.1084/jem.76.6.527pmc: PMC2135279pubmed: 19871256google scholar: lookup
  18. Jayaraman V, Ghosh S, Sengupta A, Srivastava S, Sonawat H M, Narayan P K. Identification of biochemical differences between different forms of male infertility by nuclear magnetic resonance (NMR) spectroscopy. Journal of Assisted Reproduction and Genetics 31(9), 1195–1204.
    doi: 10.1007/s10815-014-0282-4pmc: PMC4156941pubmed: 24965760google scholar: lookup
  19. Kalaiselvi G, Tirumurugaan K G, Vijayarani K, Dhinakar Raj G, Baranidharan G R, Bobade S. Livestock metabolomics – A overview. International Journal of Current Research 11(3), 1972–1980.
  20. Kareskoski M, Katila T. Components of stallion seminal plasma and the effects of seminal plasma on sperm longevity. Animal Reproduction Science 107(3–4), 249–256.
    doi: 10.1016/j.anireprosci.2008.04.013pubmed: 18556156google scholar: lookup
  21. Kneen M A, Annegarn H J. Algorithm for fitting XRF, SEM and PIXE X‐ray spectra backgrounds. Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms 109–110, 209–213.
    doi: 10.1016/0168-583X(95)00908-6google scholar: lookup
  22. Kosior M A, Pagano N, Staropoli A, De Canditiis C, Longobardi V, Zullo G, Vinale F, Gasparrini B. Metabolomic analysis of fresh and frozen bovine seminal plasma: A preliminary study. Reproduction, Fertility and Development 32(2), 197.
    doi: 10.1071/rdv32n2ab142google scholar: lookup
  23. Kumar A, Kroetsch T, Blondin P, Anzar M. Fertility‐associated metabolites in bull seminal plasma and blood serum: 1H nuclear magnetic resonance analysis. Molecular Reproduction and Development 82(2), 123–131.
    doi: 10.1002/mrd.22450pubmed: 25640164google scholar: lookup
  24. Kumar P, Kumar D, Singh I, Yadav P S. Seminal plasma proteome: Promising biomarkers for bull fertility. Agricultural Research 1(1), 78–86.
    doi: 10.1007/s40003-011-0006-2google scholar: lookup
  25. Liland K H, Almøy T, Mevik B H. Optimal choice of baseline correction for multivariate calibration of spectra. Applied Spectroscopy 64(9), 1007–1016.
    doi: 10.1366/000370210792434350pubmed: 20828437google scholar: lookup
  26. Magistrini M, Lindeberg H, Koskinen E, Beau P, Seguin F. Biophysical and 1H magnetic resonance spectroscopy characteristics of fractioned stallion ejaculates. Journal of Reproduction and Fertility Supplement 56, 101–110.
    pubmed: 20681121
  27. Mateo‐Otero Y, Fernández‐López P, Delgado‐Bermúdez A, Nolis P, Roca J, Miró J, Barranco I, Yeste M. Metabolomic fingerprinting of pig seminal plasma identifies in vivo fertility biomarkers. Journal of Animal Science and Biotechnology 12(1), 1–15.
    doi: 10.1186/s40104-021-00636-5pmc: PMC8588628pubmed: 34772452google scholar: lookup
  28. Miki K, Qu W, Goulding E H, Willis W D, Bunch D O, Strader L F, Perreault S D, Eddy E M, O'Brien D A. Glyceraldehyde 3‐phosphate dehydrogenase‐S, a sperm‐specific glycolytic enzyme, is required for sperm motility and male fertility. Proceedings of the National Academy of Sciences of the United States of America 101(47), 16501–16506.
    doi: 10.1073/pnas.0407708101pmc: PMC534542pubmed: 15546993google scholar: lookup
  29. Morrell J M, Rocha A. A novel approach to minimising acute equine endometritis that may help to prevent the development of the chronic state. Frontiers in Veterinary Science 8, 799619.
    doi: 10.3389/fvets.2021.799619pmc: PMC8770823pubmed: 35071389google scholar: lookup
  30. Mumcu A, Karaer A, Dogan B, Tuncay G. Metabolomics analysis of seminal plasma in patients with idiopathic Oligoasthenoteratozoospermia using high‐resolution NMR spectroscopy. Andrology 1–7, 450–456.
    doi: 10.1111/andr.12707pubmed: 31520509google scholar: lookup
  31. Novak S, Smith T A, Paradis F, Burwash L, Dyck M K, Foxcroft G R, Dixon W T. Biomarkers of in vivo fertility in sperm and seminal plasma of fertile stallions. Theriogenology 74(6), 956–967.
    doi: 10.1016/j.theriogenology.2010.04.025pubmed: 20580075google scholar: lookup
  32. Paiva C, Amaral A, Rodriguez M, Canyellas N, Correig X, Ballescà J L, Ramalho‐Santos J, Oliva R. Identification of endogenous metabolites in human sperm cells using proton nuclear magnetic resonance (1H‐NMR) spectroscopy and gas chromatography‐mass spectrometry (GC‐MS). Andrology 3(3), 496–505.
    doi: 10.1111/andr.12027pubmed: 25854681google scholar: lookup
  33. Portus B, Relais T, Katila T. Effect of seminal plasma on uterine inflammation, contractility and pregnancy rates in mares. Equine Veterinary Journal 37(6), 11–519.
    pubmed: 16295928
  34. R Development Core Team. R: A language and environment for statistical computing (Vol. 1). R Foundation for Statistical Computing.
    doi: 10.1007/978-3-540-74686-7google scholar: lookup
  35. Rodríguez‐Martínez H, Kvist U, Ernerudh J, Sanz L, Calvete J J. Seminal plasma proteins: What role do they play?. American Journal of Reproductive Immunology 66, 11–22.
    doi: 10.1111/j.1600-0897.2011.01033.xpubmed: 21726334google scholar: lookup
  36. Santiago‐Moreno J, Bernal B, Pérez‐Cerezales S, Castaño C, Toledano‐Díaz A, Esteso M C, Gutiérrez‐Adán A, López‐Sebastián A, Gil M G, Woelders H, Blesbois E. Seminal plasma amino acid profile in different breeds of chicken: Role of seminal plasma on sperm cryoresistance. PLoS One 14(1), 1–19.
    doi: 10.1371/journal.pone.0209910pmc: PMC6319765pubmed: 30608977google scholar: lookup
  37. Šichtař J, Bubeníčková F, Sirohi J, Šimoník O. How to increase post‐thaw semen quality in poor freezing stallions: Preliminary results of the promising role of seminal plasma added after thawing. Animals 9(7), 414.
    doi: 10.3390/ani9070414pmc: PMC6680634pubmed: 31277261google scholar: lookup
  38. Sousa S D, Lucini L, Ajmone‐Marsan P, van Tilburg M F, Moura A A. Untargeted metabolomic profiling of accessory sex gland fluid from Morada Nova rams. Molecular Reproduction and Development 87(4), 409–418.
    doi: 10.1002/mrd.23337pubmed: 32202367google scholar: lookup
  39. Terttu K. Sperm–uterine interactions. In McKinnon A. O., Squires E. L., Vaala W. E., & Varner D. D. (Eds.), Equine reproduction (2nd ed., pp. 1092–1098).
  40. Troedsson M H T, Desvousges A, Alghamdi A S, Dahms B, Dow C A, Hayna J, Valesco R, Collahan P T, Macpherson M L, Pozor M, Buhi W C. Components in seminal plasma regulating sperm transport and elimination. Animal Reproduction Science 89(1–4), 171–186.
    doi: 10.1016/j.anireprosci.2005.07.005pubmed: 16102920google scholar: lookup
  41. Vyvial M, Horáčková E, Sedlinská M, Jánová E, Krisová Š, Mráčková M. Determination of selected components in seminal plasma of donkey stallions and their correlation to semen quality parameters. Acta Veterinaria Brno 88(4), 377–384.
    doi: 10.2754/avb201988040377google scholar: lookup
  42. Wang Y X, Wu Y, Chen H G, Duan P, Wang L, Shen H Q, Lu W Q, Sun B, Wang Q, Zhang B, Chavarro J E, Zhang J, Pan A. Seminal plasma metabolome in relation to semen quality and urinary phthalate metabolites among Chinese adult men. Environment International 129, 354–363.
    doi: 10.1016/j.envint.2019.05.043pubmed: 31150977google scholar: lookup
  43. Zhu C, Jin L, Luo B, Zhou Q, Dong L, Li X, Zhang H, Huang Y, Li C, Zou L, Laghi L. Dominant components of the giant panda seminal plasma metabolome, characterized by 1H‐NMR spectroscopy. Animals 12(12), 1536.
    doi: 10.3390/ani12121536pmc: PMC9219455pubmed: 35739871google scholar: lookup

Citations

This article has been cited 2 times.
  1. Wen X, Bou G, He Q, Liu Q, Yi M, Ren H. Comprehensive Integrated Analyses of Proteins and Metabolites in Equine Seminal Plasma (Horses and Donkeys). Proteomes 2025 Jul 4;13(3).
    doi: 10.3390/proteomes13030033pubmed: 40700277google scholar: lookup
  2. 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
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