Your browser doesn't support javascript.
loading
The Methylation Pattern for Knee and Hip Osteoarthritis.
Wu, Zhen; Shou, Lu; Wang, Jian; Huang, Tao; Xu, Xinwei.
Afiliación
  • Wu Z; Departmemt of Orthopaedics, Tongde Hospital of Zhejiang Province, Hangzhou, China.
  • Shou L; Departmemt of Pneumology, Tongde Hospital of Zhejiang Province, Hangzhou, China.
  • Wang J; Departmemt of Orthopaedics, Tongde Hospital of Zhejiang Province, Hangzhou, China.
  • Huang T; Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China.
  • Xu X; Departmemt of Orthopaedics, Tongde Hospital of Zhejiang Province, Hangzhou, China.
Front Cell Dev Biol ; 8: 602024, 2020.
Article en En | MEDLINE | ID: mdl-33240895
ABSTRACT
Osteoarthritis is one of the most prevalent chronic joint diseases for middle-aged and elderly people. But in recent years, the number of young people suffering from the disease increases quickly. It is known that osteoarthritis is a common degenerative disease caused by the combination and interaction of many factors such as natural and environmental factors. DNA methylations reflect the effects of environmental factors. Several researches on DNA methylation at specific genes in OA cartilage indicated the great potential roles of DNA methylation in OA. To systematically investigate the methylation pattern in knee and hip osteoarthritis, we analyzed the methylation profiles in cartilage of 16 OA hip samples, 19 control hip samples and 62 OA knee samples. 12 discriminative methylation sites were identified using advanced minimal Redundancy Maximal Relevance (mRMR) and Incremental Feature Selection (IFS) methods. The SVM classifier of these 12 methylation sites from genes like MEIS1, GABRG3, RXRA, and EN1, can perfectly classify the OA hip samples, control hip samples and OA knee samples evaluated with LOOCV (Leave-One Out-Cross Validation). These 12 methylation sites can not only serve as biomarker, but also provide underlying mechanism of OA.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Cell Dev Biol Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Cell Dev Biol Año: 2020 Tipo del documento: Article País de afiliación: China