Journal of Personalized Medicine (Sep 2020)

The Genomics and Metagenomics of Asthma Severity (GEMAS) Study: Rationale and Design

  • Javier Perez-Garcia,
  • José M. Hernández-Pérez,
  • Ruperto González-Pérez,
  • Olaia Sardón,
  • Elena Martin-Gonzalez,
  • Antonio Espuela-Ortiz,
  • Elena Mederos-Luis,
  • Ariel Callero,
  • Esther Herrera-Luis,
  • Paula Corcuera,
  • Inmaculada Sánchez-Machín,
  • Paloma Poza-Guedes,
  • Luis Manuel González García,
  • Purificación Ramírez-Martín,
  • Lorenzo Pérez-Negrín,
  • Hemily Izaguirre-Flores,
  • Javier Barrios-Recio,
  • Eva Pérez-Rodríguez,
  • Julia Alcoba-Florez,
  • José A. Cañas,
  • José M. Rodrigo Muñoz,
  • Victoria del Pozo,
  • Javier Korta-Murua,
  • Lina I. Pérez Méndez,
  • Mariano Hernandez-Ferrer,
  • Jesús Villar,
  • Fabian Lorenzo-Diaz,
  • Maria Pino-Yanes

DOI
https://doi.org/10.3390/jpm10030123
Journal volume & issue
Vol. 10, no. 3
p. 123

Abstract

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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.

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