A label-free approach to airways disease: phenotypes, endotypes and treatable traits

A. Agusti (Barcelona, Spain)

Source: ERS Research Seminar 2017 – Precision medicine in airway diseases
Number: 1
Disease area: Airway diseases

PDF journal article, handout or slidesSlide presentation

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
A. Agusti (Barcelona, Spain). A label-free approach to airways disease: phenotypes, endotypes and treatable traits. ERS Research Seminar 2017 – Precision medicine in airway diseases

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.
You must Login to comment this presentation.


Related content which might interest you:
Identification of asthma phenotypes based on extrapulmonary treatable traits
Source: Virtual Congress 2020 – Physical activity and chronic lung disease: once a new kid, now growing up
Year: 2020




Asthma endotypes: a new approach to classification of disease entities within asthma
Source: Annual Congress 2013 –Severe asthma: moving from phenotyping to endotyping
Year: 2013


Treatment of severe stable COPD: the multidimensional approach of treatable traits
Source: ERJ Open Res, 6 (3) 00322-2019; 10.1183/23120541.00322-2019
Year: 2020



Challenging the paradigm: moving from umbrella labels to treatable traits in airway disease
Source: Breathe, 17 (3) 210053; 10.1183/20734735.0053-2021
Year: 2021



COPD phenotypes and endotypes
Source: International Congress 2018 – PG1 Asthma and chronic obstructive pulmonary disease
Year: 2018


From phenotypes to endotypes of asthma
Source: International Congress 2014 – PG03 Respiratory medicine: diagnosis to treatment from a mentor and junior perspective
Year: 2014


Treatable traits: toward precision medicine of chronic airway diseases
Source: Eur Respir J 2016; 47: 410-419
Year: 2016



A multi-omics approach to delineate sputum microbiome-associated asthma inflammatory phenotypes
Source: Eur Respir J, 59 (1) 2102603; 10.1183/13993003.02603-2021
Year: 2022



The airway ‘resistome’ in chronic respiratory disease: a metagenomics approach
Source: International Congress 2019 – The microbiome: novel data across respiratory diseases
Year: 2019



A simple algorithm for the identification of clinical COPD phenotypes
Source: Eur Respir J, 50 (5) 1701034; 10.1183/13993003.01034-2017
Year: 2017



Identifying adult asthma phenotypes using a clustering approach
Source: Eur Respir J 2011; 38: 310-317
Year: 2011



Z-alpha1-antitrypsin polymers and small airways disease: a new paradigm in COPD development?
Source: Virtual Congress 2020 – Prediction of outcomes in obstructive diseases
Year: 2020


Monitoring the inflammatory heterogeneity in asthma with multiple biomarkers for multidimensional endotyping
Source: International Congress 2017 – "Alarming" immunological patterns in asthma
Year: 2017


Avoiding confusion in COPD: from risk factors to phenotypes to measures of disease characterisation
Source: Eur Respir J 2011; 38: 749-751
Year: 2011


The molecular and clinical diseasomeof comorbid diseases inchronic obstructive pulmonary disease
Source: International Congress 2015 – Translational research in respiratory care: new findings
Year: 2015

The omics approach to defining endotypes and personalising treatment pathways in asthma
Source: International Congress 2016 – Endotyping: the means to personalised medicine in lung disease
Year: 2016


Genetic typing of bronchial asthma afflicted people according to polymorphous genes for the purpose of disease progress risk factors detection
Source: Annual Congress 2011 - New mechanisms in airway disease
Year: 2011