Novel Anti-Inflammatory Approaches for Cystic Fibrosis Lung Disease: Identification of Molecular Targets and Design of Innovative Therapies - Sorbonne Université Accéder directement au contenu
Article Dans Une Revue Frontiers in Pharmacology Année : 2020

Novel Anti-Inflammatory Approaches for Cystic Fibrosis Lung Disease: Identification of Molecular Targets and Design of Innovative Therapies

Résumé

Cystic fibrosis (CF) is the most common genetic disorder among Caucasians, estimated to affect more than 70,000 people in the world. Severe and persistent bronchial inflammation and chronic bacterial infection, along with airway mucus obstruction, are hallmarks of CF lung disease and participate in its progression. Anti-inflammatory therapies are, therefore, of particular interest for CF lung disease. Furthermore, a better understanding of the molecular mechanisms involved in airway infection and inflammation in CF has led to the development of new therapeutic approaches that are currently under evaluation by clinical trials. These new strategies dedicated to CF inflammation are designed to treat different dysregulated aspects such as oxidative stress, cytokine secretion, and the targeting of dysregulated pathways. In this review, we summarize the current understanding of the cellular and molecular mechanisms that contribute to abnormal lung inflammation in CF, as well as the new anti-inflammatory strategies proposed to CF patients by exploring novel molecular targets and novel drug approaches.
Fichier principal
Vignette du fichier
fphar-11-01096.pdf (2.21 Mo) Télécharger le fichier
Origine : Publication financée par une institution
Loading...

Dates et versions

hal-02945175 , version 1 (22-09-2020)

Licence

Paternité

Identifiants

Citer

Christie Mitri, Zhengzhong Xu, Pauline Bardin, Harriet Corvol, Lhousseine Touqui, et al.. Novel Anti-Inflammatory Approaches for Cystic Fibrosis Lung Disease: Identification of Molecular Targets and Design of Innovative Therapies. Frontiers in Pharmacology, 2020, 11, pp.1096. ⟨10.3389/fphar.2020.01096⟩. ⟨hal-02945175⟩
64 Consultations
157 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More