Your browser doesn't support javascript.
loading
Treatable Mechanisms in Asthma.
Cazzola, Mario; Ora, Josuel; Cavalli, Francesco; Rogliani, Paola; Matera, Maria Gabriella.
Afiliación
  • Cazzola M; Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy. mario.cazzola@uniroma2.it.
  • Ora J; Respiratory Diseases Unit, "Tor Vergata" University Hospital, Rome, Italy.
  • Cavalli F; Respiratory Diseases Unit, "Tor Vergata" University Hospital, Rome, Italy.
  • Rogliani P; Department of Experimental Medicine, University of Rome "Tor Vergata", Rome, Italy.
  • Matera MG; Respiratory Diseases Unit, "Tor Vergata" University Hospital, Rome, Italy.
Mol Diagn Ther ; 25(2): 111-121, 2021 03.
Article en En | MEDLINE | ID: mdl-33570719
ABSTRACT
Asthma is a heterogeneous condition, but firm identification of heterogeneity-focused treatments is still lacking. Dividing patients into subgroups of asthma pheno-/endotypes based on combined clinical and cellular biological characteristics and linking them to targeted treatments could be a potentially useful approach to personalize therapy for better outcomes. Nonetheless, there are still many problems related to the identification and validation of asthma phenotypes and endotypes. Alternatively, a precision-medicine strategy for the management of patients with airways disease that is free from the traditional diagnostic labels and based on identifying "treatable traits" in each patient might be preferable. However, it would represent a quite unsophisticated approach because the definition of a treatable trait is too imprecise. In fact, there is still no understanding of the mechanisms underlying treatable traits that allow directing any targeted therapies against any particular treatable trait. Fortunately, in-depth identification of underlying molecular pathways to guide targeted treatment in individual patients is in progress thanks to the improvement in big data management obtained from '-omic' sciences that is greatly increasing knowledge concerning asthma.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Asma / Genoma Humano / Medicina de Precisión Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Asma / Genoma Humano / Medicina de Precisión Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article