2025-11-11 ペンシルベニア州立大学 (PennState)
<関連情報>
- https://www.psu.edu/news/research/story/new-method-may-improve-blood-tests-ability-detect-inflammation-horses
- https://www.sciencedirect.com/science/article/pii/S0737080625003636
炎症に伴う馬の全血球数パラメータと炎症指標の変化 Changes in equine complete blood count parameters and inflammatory indices with inflammation
MM Friend, EM McGaffigan, SM Hall, WB Staniar, DN Smarsh
Journal of Equine Veterinary Science Available online: 1 October 2025
DOI:https://doi.org/10.1016/j.jevs.2025.105705
Highlights
- Serum amyloid A and haptoglobin are associated with changes in CBC parameters.
- Inflammatory indices are consistent indicators of inflammation in horses.
- Cell counts and ratios are less consistent indicators than inflammatory indices.
Abstract
Background
Early detection of inflammation using a common test could be a valuable tool for preserving horse health.
Hypothesis
This observational study aimed to identify variation in complete blood count (CBC) parameters and inflammatory indices with inflammation, and to develop reference intervals (RIs) from horses with known inflammatory states, hypothesizing that RIs developed from horses with normal acute phase protein concentrations would improve the ability to predict inflammation.
Methods
Concentrations of serum amyloid A (SAA) and haptoglobin from clinically healthy horses and horses under veterinary care (n=199) were used to categorize horses as inflamed (SH+; n=48) or not inflamed (SH-; n=150). Non-inflamed RIs were created using 95 % RIs from horses classified as SH- (non-inflamed). Differences in median values of CBC parameters and inflammatory indices were determined using the Kruskal-Wallis test with Dunn’s post-hoc analysis and a Bonferroni correction. Predictive value was determined using ROC analysis, and odds ratios were calculated to determine the value of industry and non-inflamed RIs in detecting inflammation. Significance was set at P ≤ 0.05.
Results
All three inflammatory indices revealed greater median values in SH+ horses and predictive value greater than all other metrics (AUC=0.64, 0.64, 0.66, respectively). Horses falling above or below all three inflammatory index RIs (SII, SIRI, and AISI) were 6.32, 4.54, and 7 times more likely to be SH+. Additionally, a greater number of non-inflamed RIs yielded increased likelihood of SH+ categorization than industry RIs.
Conclusion
These results suggest inflammatory indices and non-inflamed RIs may be a valuable tool to aid in the detection of inflammation in horses.
