Serum proteomic networks associate with pre-clinical rheumatoid arthritis autoantibodies and longitudinal outcomes.

O'Neil, Liam J; Meng, Xiaobo; Mcfadyen, Caitlin; Fritzler, Marvin J; El-Gabalawy, Hani S

O'Neil, Liam J; Meng, Xiaobo; Mcfadyen, Caitlin; Fritzler, Marvin J; El-Gabalawy, Hani S.

Afiliación

O'Neil LJ; Department of Internal Medicine, Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, Canada.
Meng X; Department of Internal Medicine, Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, Canada.
Mcfadyen C; Department of Internal Medicine, Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, Canada.
Fritzler MJ; Department of Internal Medicine, University of Calgary, Calgary, Canada.
El-Gabalawy HS; Department of Internal Medicine, Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, Canada.

Front Immunol ; 13: 958145, 2022.

Article en En | MEDLINE | ID: mdl-36159862

Asunto(s)

Artritis Reumatoide; Autoanticuerpos; Biomarcadores; Humanos; Proteoma; Proteómica

Palabras clave

jak-stat; machine learning; pre-clinical; prevention; proteomics; rheumatoid arthritis

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Artritis Reumatoide / Autoanticuerpos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Front Immunol Año: 2022 Tipo del documento: Article País de afiliación: Canadá

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