Understanding uncontrolled severe allergic asthma by integration of omic and clinical data.

María Isabel Delgado-Dolset David Obeso Juan Rodriguez-CoiraCarlos TarinGe TanJosé A CumplidoAna CabreraSantiago Angulo Coral Barbas Milena Sokolowska Domingo BarberTeresa CarrilloAlma Villaseñor María M Escribese

Published in: Allergy (2021)

UC patients display a unique fingerprint characterized by inflammatory-related metabolites and proteins, suggesting a pro-inflammatory environment. Moreover, the integration of clinical and experimental data led to a deeper understanding of the mechanisms underlying UC phenotype.

Keyphrases

end stage renal disease
electronic health record
ejection fraction
newly diagnosed
chronic kidney disease
big data
ms ms
allergic rhinitis
oxidative stress
early onset
drug induced
air pollution
artificial intelligence