ArticleScientific reports2024
A proteomics perspective on 2 years of high-intensity training in horses: a pilot study.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Exercise-specific plasma proteomic signatures in racehorses: Candidates for training adaptation and peak load monitoring.Equine veterinary journal · 2026Article
- Quantitative proteomics unveils potential plasma biomarkers and provides insights into the pathophysiological mechanisms underlying equine metabolic syndrome.BMC veterinary research · 2025Article
- Alterations in the Peritoneal Fluid Proteome of Horses with Colic Attributed to Ischemic and Non-Ischemic Intestinal Disease.Animals : an open access journal from MDPI · 2025Article
- Proteomic analysis emphasizes the adaptation of energy metabolism in horses during endurance races.BMC veterinary research · 2025Article
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Authors and funding
6 authors.
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Abstract
The human plasma proteome is rather well studied, but not that of other species, including horses. The aims of this study were to (1), explore differences in plasma proteomic profile of young elite harness trotters kept under standardised conditions and subjected to two different training programmes for 2 years and (2) explore changes in proteomic profile over time during the training period. From September at age 1.5 year to March at age 2 years, 16 Standardbred horses were exposed to the same training programme. In March, high-intensity training was introduced and the horses were divided into two training groups (High and Low). Blood samples were collected at rest in December as 1.5-year-olds, July as 2-year-olds, December as 2.5-year-olds and December as 3.5-year-olds. Untargeted proteomics was performed and a hypothesis-generating approach was used in statistical analysis (t-tests). At the age of 2.5 years, the level of serotransferrin was higher in the High group (P = 0.01) and at least at one sampling occasion, proteins associated with fat metabolism, oxidant/antioxidant processes, cardiovascular responses, bone formation and inflammation were lower in High group compared to Low (P < 0.05). Analyses of changes over time revealed that levels of proteins involved in energy metabolism, red cell metabolism, circulation, oxidant/antioxidant activity, bone formation, inflammation, immune modulation and cellular and vascular damage changed (P < 0.05). The results indicate that proteomics analysis of blood plasma could be a viable tool for evaluation of exercise adaptations, performance and for health monitoring, with several potential biomarkers identified in this study.
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