The Genomics and Metagenomics of Asthma Severity (GEMAS) Study: Rationale and Design.
Javier Perez-GarciaJosé Maria Hernández PérezRuperto González-PérezOlaia SardónElena Martin-GonzalezAntonio Espuela-OrtizElena Mederos-LuisAriel Callero VieraEsther Herrera-LuisPaula CorcueraInmaculada Sánchez-MachínPaloma Poza-GuedesLuis Manuel González GarcíaPurificación Ramírez-MartínLorenzo Pérez-NegrínHemily Izaguirre-FloresJavier Barrios-RecioEva Pérez-RodríguezJulia Alcoba-FlorezJosé Antonio CañasJosé Manuel Rodrigo-MuñozVictoria Del PozoJavier Korta-MuruaLina I Pérez MéndezMariano Hernández FerrerJesus VillarFabian Lorenzo-DiazMaria Pino-YanesPublished in: Journal of personalized medicine (2020)
Asthma exacerbations are a major contributor to the global disease burden, but no significant predictive biomarkers are known. The Genomics and Metagenomics of Asthma Severity (GEMAS) study aims to assess the role of genomics and the microbiome in severe asthma exacerbations. Here, we present the design of GEMAS and the characteristics of patients recruited from March 2018 to March 2020. Different biological samples and demographic and clinical variables were collected from asthma patients recruited by allergy and pulmonary medicine units in several hospitals from Spain. Cases and controls were defined by the presence/absence of severe asthma exacerbations in the past year (oral corticosteroid use, emergency room visits, and/or asthma-related hospitalizations). A total of 137 cases and 120 controls were recruited. After stratifying by recruitment location (i.e., Canary Islands and Basque Country), cases and controls did not differ for most demographic and clinical variables (p > 0.05). However, cases showed a higher proportion of characteristics inherent to asthma exacerbations (impaired lung function, severe disease, uncontrolled asthma, gastroesophageal reflux, and use of asthma medications) compared to controls (p < 0.05). Similar results were found after stratification by recruitment unit. Thereby, asthma patients enrolled in GEMAS are balanced for potential confounders and have clinical characteristics that support the phenotype definition. GEMAS will improve the knowledge of potential biomarkers of asthma exacerbations.
Keyphrases
- chronic obstructive pulmonary disease
- lung function
- cystic fibrosis
- end stage renal disease
- air pollution
- allergic rhinitis
- newly diagnosed
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- healthcare
- emergency department
- prognostic factors
- patient reported outcomes
- early onset
- risk factors
- pulmonary hypertension