- 2010 - 2015
- Josep M. Antó
- Página web
Allergic diseases (asthma (A), rhinitis (R) and eczema(E)) are complex and associated with allergen-specific IgE and non-allergic mechanisms that may coexist in the same patient (multimorbidity of A, R & E). MeDALL (Mechanisms of the Development of ALLergy; EU FP7-CP-IP; Project No: 261357; 2010-2015) was launched to generate novel knowledge on the mechanisms of initiation of allergy from early childhood to young adulthood. MeDALL linked epidemiological, clinical and basic research. It was based on a novel, stepwise, large-scale and integrative approach led by a network of complementary experts in allergy, epidemiology, allergen biochemistry, immunology, molecular biology, epigenetics, functional genomics, bioinformatics, computational and systems biology.
- Identification of “classical” and “novel” phenotypes in existing birth cohorts
- Building discovery of the relevant mechanisms in IgE-associated allergic diseases in existing longitudinal birth cohorts;
- Validation and redefinition of classical and novel phenotypes of IgE-associated allergic diseases, and
- Translational integration of systems biology outcomes into healthcare, including societal aspects.
- Multimorbidity of A, R & E is more common than expected by chance alone suggesting that the diseases share causal mechanisms.
- Using unsupervised cluster analysis at 4 and 8 years, two groups were identified suggesting that asthma, rhinitis and eczema can be classified together as an allergic comorbidity cluster.
- A computational analysis of the topology of the protein interaction network shows that asthma, eczema and rhinitis share a larger number of associated proteins than expected by chance.
- A targeted proteomic approach allowed to assess the role of several candidates including CC16 and YKl-40 of asthma and allergy related phenotypes in children. Identifying a potential novel biomarker of asthma and the role of systemic inflammation in allergic multimorbidities in early childhood, both using the classical and novel phenotypes.
- As part of the translational efforts in MeDALL a systematic review of characteristics of risk prediction models to identify preschool children with asthma-like symptoms who will develop clinical asthma at school age. Twelve prediction models were identified.
- Josep Mª Antó Research Professor
- Jordi Sunyer Research Professor
- Marta Benet Técnica estadística
- Judith Garcia Jefa del programa de Enfermedades no transmisibles y medio ambiente
- Stefano Guerra Visiting Scholar
- Anne-Elie Carsin Técnica estadística
- Mariona Bustamante Staff Scientist
- Xavier Basagaña Associate Research Professor
- Emmanouil Kogevinas
- Juan Ramón González Associate Research Professor
Otros proyectosVer proyectos pasados
Estudio multi-caso control poblacional, incluyendo tumores de alta incidencia en España
Aging Lungs in European Cohorts
Physical Activity as a Crucial Patient Reported Outcome in COPD
Social and environmental determinants of physical activity in patients with chronic obstructive pulmonary disease (COPD): a qualitative and quantitative epidemiological study
Network on the Coordination and Harmonisation of European Occupational Cohorts
Impact Of Pollution on Asthma and Rhinitis
Integrating Environment and Health Research: a Vision for the EU
Severe respiratory failure in COVID-19: clinical, biological and imaging risk factors
Valorización del Archivo Europeo del Genomas y Fenomas (EGA) para la Industria y la Sociedad
Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement
Cohorte Covid-19 en Cataluña
Signs of Early Adaptation to Climate Change
Exposure to emerging contaminants in drinking water in Barcelona potentially liked to chronic diseases and wellbeing
Las Voces de los Afectados por la Nefropatía Mesoamericana
Co-created educational programme for dyspnea-bearing patients and their caregivers
Risk of colorectal and breast cancer with widespread drinking water chemical contaminants
Early Genetics Growth/Early Genetics and Lifecourse Epidemiology
Air Pollution, Autism spectrum disorders, and brain imaging in CHildren amongst Europe
Early-life stressors and LifeCycle health
Science and Technology in childhood Obesity Policy
Advancing Tools for Human Early Lifecourse Exposome Research and Translation
Pre- and post-natal Maternal mental health and newbOrn neurOdevelopment during the COVID-19 panDemic
A federated FAIR platform enabling large-scale analysis of high-value cohort data connecting Europe and Canada in personalized health
An integrative strategy of testing systems for identification of EDs related to metabolic disorders