Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers

Kim, C. Y., Kim, J., Yoon, S., Yi, I. J., Lee, H., Seo, S., Kim, D. W., Ko, S., Kim, S.-A., Kwon, C., & Yi, S. S. (2024). Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers. Frontiers in Veterinary Science, 11. https://doi.org/10.3389/fvets.2024.1390296

This study aimed to improve the early detection of canine cognitive dysfunction syndrome (CCDS) through the development of blood-based biomarkers. Biomarkers such as retinol-binding protein 4 (RBP4), C-X-C-motif chemokine ligand 10 (CXCL10), and NADPH oxidase 4 (NOX4) were analyzed from dogs with cognitive decline based on their canine cognitive dysfunction rating (CCDR) scores. A negative correlation was found between biomarker levels and cognitive decline, with machine learning algorithms showing high diagnostic accuracy, especially using RBP4 and NOX4. The findings support the use of these biomarkers for CCDS detection, potentially improving management of neurodegenerative diseases in dogs.