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Advancing the early detection of canine cognitive dysfunction syndrome with machine learning-enhanced blood-based biomarkers.
Kim, Chae Young; Kim, Jinhye; Yoon, Sunmi; Yi, Isaac Jinwon; Lee, Hyuna; Seo, Sanghyuk; Kim, Dae Won; Ko, Soohyun; Kim, Sun-A; Kwon, Changhyuk; Yi, Sun Shin.
Afiliación
  • Kim CY; BK21 Four program, Department of Medical Sciences, Soonchunhyang University, Asan, Republic of Korea.
  • Kim J; iCONNECTOME, Co., Ltd., Cheonan, Republic of Korea.
  • Yoon S; iCONNECTOME, Co., Ltd., Cheonan, Republic of Korea.
  • Yi IJ; Department of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
  • Lee H; iamdt, Co., Ltd., Seoul, Republic of Korea.
  • Seo S; VIP Animal Medical Center, Seoul, Republic of Korea.
  • Kim DW; Department of Biochemistry and Molecular Biology, Research Institute of Oral Sciences, College of Dentistry, Gangneung-Wonju National University, Gangneung, Republic of Korea.
  • Ko S; GenesisEgo, Co., Ltd., Seoul, Republic of Korea.
  • Kim SA; Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States.
  • Kwon C; GenesisEgo, Co., Ltd., Seoul, Republic of Korea.
  • Yi SS; BK21 Four program, Department of Medical Sciences, Soonchunhyang University, Asan, Republic of Korea.
Front Vet Sci ; 11: 1390296, 2024.
Article en En | MEDLINE | ID: mdl-39170638
ABSTRACT
Up to half of the senior dogs suffer from canine cognitive dysfunction syndrome (CCDS), the diagnosis method relies on subjective questionnaires such as canine cognitive dysfunction rating (CCDR) scores. Therefore, the necessity of objective diagnosis is emerging. Here, we developed blood-based biomarkers for CCDS early detection. Blood samples from dogs with CCDR scores above 25 were analyzed, and the biomarkers retinol-binding protein 4 (RBP4), C-X-C-motif chemokine ligand 10 (CXCL10), and NADPH oxidase 4 (NOX4) were validated against neurodegenerative models. Lower biomarker levels were correlated with higher CCDR scores, indicating cognitive decline. Machine-learning analysis revealed the highest predictive accuracy when analyzing the combination of RBP4 and NOX4 using the support vector machine algorithm and confirmed potential diagnostic biomarkers. These results suggest that blood-based biomarkers can notably improve CCDS early detection and treatment, with implications for neurodegenerative disease management in both animals and humans.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Vet Sci Año: 2024 Tipo del documento: Article Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Vet Sci Año: 2024 Tipo del documento: Article Pais de publicación: Suiza