Your browser doesn't support javascript.
loading
Infrared Spectroscopy of Synovial Fluid Shows Accuracy as an Early Biomarker in an Equine Model of Traumatic Osteoarthritis.
Panizzi, Luca; Vignes, Matthieu; Dittmer, Keren E; Waterland, Mark R; Rogers, Chris W; Sano, Hiroki; McIlwraith, C Wayne; Riley, Christopher B.
Afiliación
  • Panizzi L; School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand.
  • Vignes M; School of Mathematical and Computational Sciences, Massey University, Palmerston North 4442, New Zealand.
  • Dittmer KE; School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand.
  • Waterland MR; School of Natural Sciences, Massey University, Palmerston North 4442, New Zealand.
  • Rogers CW; School of Veterinary Science, Massey University, Palmerston North 4442, New Zealand.
  • Sano H; School of Agriculture and Environment, Massey University, Palmerston North 4442, New Zealand.
  • McIlwraith CW; Veterinary Specialty Hospital Hong Kong, G/F-2/F 165-171 Wan Chai Road, Wan Chai, Hong Kong, China.
  • Riley CB; Orthopaedic Research Center, C. Wayne McIlwraith Translational Medicine Institute, Colorado State University, Fort Collins, CO 80523, USA.
Animals (Basel) ; 14(7)2024 Mar 22.
Article en En | MEDLINE | ID: mdl-38612225
ABSTRACT
Osteoarthritis is a leading cause of lameness and joint disease in horses. A simple, economical, and accurate diagnostic test is required for routine screening for OA. This study aimed to evaluate infrared (IR)-based synovial fluid biomarker profiling to detect early changes associated with a traumatically induced model of equine carpal osteoarthritis (OA). Unilateral carpal OA was induced arthroscopically in 9 of 17 healthy thoroughbred fillies; the remainder served as Sham-operated controls. The median age of both groups was 2 years. Synovial fluid (SF) was obtained before surgical induction of OA (Day 0) and weekly until Day 63. IR absorbance spectra were acquired from dried SF films. Following spectral pre-processing, predictive models using random forests were used to differentiate OA, Sham, and Control samples. The accuracy for distinguishing between OA and any other joint group was 80%. The classification accuracy by sampling day was 87%. For paired classification tasks, the accuracies by joint were 75% for OA vs. OA Control and 70% for OA vs. Sham. The accuracy for separating horses by group (OA vs. Sham) was 68%. In conclusion, SF IR spectroscopy accurately discriminates traumatically induced OA joints from controls.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Animals (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Nueva Zelanda Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Animals (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Nueva Zelanda Pais de publicación: Suiza