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Letter to the editor: testing the effectiveness of MyPROSLE in classifying patients with lupus nephritis.
Leventhal, Emily L; Daamen, Andrea R; Lipsky, Peter E.
Afiliación
  • Leventhal EL; AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA 22902, USA.
  • Daamen AR; AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA 22902, USA.
  • Lipsky PE; AMPEL BioSolutions LLC and the RILITE Research Institute, Charlottesville, VA 22902, USA.
Brief Bioinform ; 24(5)2023 09 20.
Article en En | MEDLINE | ID: mdl-37670507
Because of the clinical heterogeneity among patients with systemic lupus erythematosus (SLE), developing molecular profiles that predict clinical features can be useful in creating a personalized approach to treatment. Toro-Domínguez et al. created a web tool to aid in therapeutic decision making for clinicians that predicts clinical features associated with SLE from blood transcriptomic data. Specifically, they present a machine learning model that predicts the presence of proliferative nephritis from blood transcriptomics. Here, we report use of the tool in independent datasets and found that it did not perform sufficiently well to consider replacement of the standard kidney biopsy as a diagnostic procedure.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nefritis Lúpica / Lupus Eritematoso Sistémico Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nefritis Lúpica / Lupus Eritematoso Sistémico Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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