Analyze Diet
Journal of equine veterinary science2026; 158; 105780; doi: 10.1016/j.jevs.2026.105780

Metabolomics of stallion seminal plasma: Identification of potential fertility biomarkers based on differences between high and low pregnancy stallions.

Abstract: The seminal plasma (SP), a fluid originating from the testes, epididymis, and accessory sex glands, represents 98 % of the volume of stallion ejaculate. Metabolomic analysis enables the identification of final products of metabolic pathways, providing insights into reproductive physiology. Objective: This study aimed to investigate the metabolomic profile of stallion seminal plasma and to investigate metabolic differences between stallions with high and low pregnancy rates, in order to identify potential biomarkers associated with fertility. Methods: Twenty-four Criollo stallions, were sampled for molecular biology once during the breeding season. Results: Pregnancy rates at day 16 post-insemination ranged from 20.2 % to 95.6 %, forming two groups: High Pregnancy (HP; ≥60 %) and Low Pregnancy (LP; ≤50 %). Semen was evaluated for concentration, kinetics, morphology, and membrane integrity. Metabolic profiling using UHPLC-QTOF-MS identified 18 metabolites, including acetyl carnitine, carnitine, isoleucine, methylbutanoyl carnitine, ornithine, phenylalanine, tryptophan, taurine, palmitate, lactate, phosphate, oleate, stearate, citrate, fructose, hippurate, 1,3-dioxan-5-ol, and melatonin. Oleate showed higher abundance in LP stallions (P < 0.05), whereas taurine and phosphate were enriched in HP stallions (P < 0.05). Pearson correlation analysis revealed 13 metabolites significantly associated with reproductive outcomes, with phosphate and 1,3-dioxan-5-ol emerging as the most relevant. Phosphate, in particular, was highlighted as a potential fertility biomarker due to its essential role in sperm energy metabolism via pyrophosphate breakdown. Conclusions: These findings elucidate molecular mechanisms underlying subfertility and support the identification of biomarkers for fertility prediction, offering potential applications in reproductive management and optimization strategies for stallions.
Publication Date: 2026-01-06 PubMed ID: 41506556DOI: 10.1016/j.jevs.2026.105780Google 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 analyzed the metabolites in stallion seminal plasma to identify differences between stallions with high and low pregnancy rates and to find biomarkers predictive of fertility.

Background and Rationale

  • Seminal plasma (SP) constitutes approximately 98% of stallion ejaculate volume and is secreted by the testes, epididymis, and accessory sex glands.
  • Metabolomics is the study of small molecules (metabolites) that represent the endpoints of cellular metabolic pathways, offering insights into physiology, including reproductive health.
  • Understanding metabolomic profiles of SP can reveal biochemical markers correlated with fertility status, an area that could improve stallion reproductive management.

Objective

  • To characterize the metabolomic profile of stallion seminal plasma.
  • To investigate differences in metabolites between stallions with high and low pregnancy rates.
  • To identify specific metabolites that serve as potential biomarkers associated with fertility.

Study Design and Methods

  • Subjects: 24 Criollo breed stallions sampled once during the breeding season.
  • Grouping: Stallions were categorized based on pregnancy rates at day 16 post-insemination into High Pregnancy (HP, ≥60%) and Low Pregnancy (LP, ≤50%) groups.
  • Semen Analysis: Evaluations included sperm concentration, motility/kinetics, morphology, and membrane integrity to correlate sperm quality with metabolomic data.
  • Metabolomic Profiling: UHPLC-QTOF-MS (Ultra-High Performance Liquid Chromatography coupled with Quadrupole Time-of-Flight Mass Spectrometry) was used to identify and quantify metabolites in the SP samples.

Key Findings

  • A total of 18 different metabolites were detected in seminal plasma, including amino acids, fatty acids, and other metabolic compounds such as:
    • Acetyl carnitine, carnitine, isoleucine, methylbutanoyl carnitine
    • Ornithine, phenylalanine, tryptophan, taurine
    • Palmitate, lactate, phosphate, oleate
    • Stearate, citrate, fructose, hippurate
    • 1,3-dioxan-5-ol and melatonin
  • Metabolite Differences Between Groups:
    • Oleate was found in higher concentrations in the Low Pregnancy (LP) group (statistically significant, P < 0.05).
    • Taurine and phosphate were enriched in the High Pregnancy (HP) group (statistically significant, P < 0.05).
  • Correlation Analysis:
    • Pearson correlation analysis showed that 13 metabolites had significant associations with reproductive outcomes.
    • Phosphate and 1,3-dioxan-5-ol were the most strongly correlated metabolites related to fertility parameters.
  • Phosphate’s Role:
    • Phosphate plays an essential role in sperm energy metabolism, particularly involving pyrophosphate breakdown, which is critical for generating the energy required for sperm motility and function.
    • This role underpins phosphate’s potential as a biomarker for stallion fertility.

Conclusions and Implications

  • The study identifies specific metabolites in seminal plasma that differentiate stallions with high and low fertility, advancing understanding of molecular mechanisms involved in subfertility.
  • Phosphate emerges as a promising biomarker for predicting stallion fertility, potentially aiding in early identification of subfertile males.
  • Findings provide valuable information for reproductive management and optimization strategies in breeding programs by targeting metabolite profiles associated with better fertility outcomes.
  • The use of metabolomic profiling adds a novel dimension to fertility assessment beyond traditional semen analysis.

Cite This Article

APA
Bueno VLC, Bastos HBA, Centeno LAM, Schmitt F, Larentis G, Mattos RC, Fiala-Rechsteiner S. (2026). Metabolomics of stallion seminal plasma: Identification of potential fertility biomarkers based on differences between high and low pregnancy stallions. J Equine Vet Sci, 158, 105780. https://doi.org/10.1016/j.jevs.2026.105780

Publication

ISSN: 0737-0806
NlmUniqueID: 8216840
Country: United States
Language: English
Volume: 158
Pages: 105780
PII: S0737-0806(26)00016-X

Researcher Affiliations

Bueno, V L C
  • Historep - Institute of Biology, UFPEL, Pelotas, RS, 96160-000, Brazil; Programa de Pós-Graduação em Ciências Veterinária - Faculty of Veterinary, UFRGS, Porto Alegre, RS, 91540-000, Brazil. Electronic address: veronica.bueno@ufrgs.br.
Bastos, H B A
  • Reprolab - Faculty of Veterinary, UFRGS, Porto Alegre, RS, 91540-000, Brazil.
Centeno, L A M
  • Reprolab - Faculty of Veterinary, UFRGS, Porto Alegre, RS, 91540-000, Brazil.
Schmitt, F
  • Reprolab - Faculty of Veterinary, UFRGS, Porto Alegre, RS, 91540-000, Brazil.
Larentis, G
  • Reprolab - Faculty of Veterinary, UFRGS, Porto Alegre, RS, 91540-000, Brazil.
Mattos, R C
  • Reprolab - Faculty of Veterinary, UFRGS, Porto Alegre, RS, 91540-000, Brazil.
Fiala-Rechsteiner, S
  • Historep - Institute of Biology, UFPEL, Pelotas, RS, 96160-000, Brazil; Reprolab - Faculty of Veterinary, UFRGS, Porto Alegre, RS, 91540-000, Brazil.

MeSH Terms

  • Animals
  • Horses / physiology
  • Semen / metabolism
  • Semen / chemistry
  • Semen / physiology
  • Male
  • Biomarkers / metabolism
  • Pregnancy
  • Fertility / physiology
  • Female
  • Metabolomics

Conflict of Interest Statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Citations

This article has been cited 0 times.