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Gene-based association identifies SPATA13-AS1 as a pharmacogenomic predictor of inhaled short-acting beta-agonist response in multiple population groups.

ABSTRACT: Inhaled short-acting beta-agonist (SABA) medication is commonly used in asthma patients to rapidly reverse airway obstruction and improve acute symptoms. We performed a genome-wide association study of SABA medication response using gene-based association tests. A linear mixed model approach was first used for single-nucleotide polymorphism associations, and the results were later combined using GATES to generate gene-based associations. Our results identified SPATA13-AS1 as being significantly associated with SABA bronchodilator response in 328 healthy African Americans. In replication, this gene was associated with SABA response among the two separate groups of African Americans with asthma (n=1073, P=0.011 and n=1968, P=0.014), 149 healthy African Americans (P=0.003) and 556 European Americans with asthma (P=0.041). SPATA13-AS1 was also associated with longitudinal SABA medication usage in the two separate groups of African Americans with asthma (n=658, P=0.047 and n=1968, P=0.025). Future studies are needed to delineate the precise mechanism by which SPATA13-AS1 may influence SABA response.

SUBMITTER: Padhukasahasram B

PROVIDER: S-EPMC4098013 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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Gene-based association identifies SPATA13-AS1 as a pharmacogenomic predictor of inhaled short-acting beta-agonist response in multiple population groups.

Padhukasahasram B B Yang J J JJ Levin A M AM Yang M M Burchard E G EG Kumar R R Kwok P-Y PY Seibold M A MA Lanfear D E DE Williams L K LK

The pharmacogenomics journal 20140114 4

Inhaled short-acting beta-agonist (SABA) medication is commonly used in asthma patients to rapidly reverse airway obstruction and improve acute symptoms. We performed a genome-wide association study of SABA medication response using gene-based association tests. A linear mixed model approach was first used for single-nucleotide polymorphism associations, and the results were later combined using GATES to generate gene-based associations. Our results identified SPATA13-AS1 as being significantly ...[more]

PMID: 24418963

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Project description:Background: Peripheral deposition of inhaled medication is important as small airway disease has a key role in asthma. In this study, we compared the lung deposition at different mean flow rates of three inhaled corticosteroid (ICS)/long-acting beta2-agonist (LABA) combinations delivered by dry powder inhaler (DPI), that is, Foster NEXThaler® (extrafine formulation of beclomethasone/formoterol), Relvar Ellipta® (fluticasone furoate/vilanterol trifenatate), and Symbicort Turbohaler® (budesonide/formoterol). Materials and Methods: In vitro drug delivery parameters were applied to lung computerized tomography (CT) scans of 20 asthma patients by functional respiratory imaging (FRI). Aerosol airway deposition patterns were calculated as percentage (standard deviation) intrathoracic versus extrathoracic deposition, percentage peripheral deposition, and central-to-peripheral (C/P) ratio at different inspiratory mean flow rates. Results: At 60 and 40 L/min, intrathoracic deposition of ICS/LABA was significantly higher with NEXThaler versus Ellipta. Peripheral deposition (60 L/min) with NEXThaler was higher than Ellipta for ICS (24.7% [3.5%] vs. 5.0% [2.0%]; p < 0.001) and LABA (25.3% [3.5%] vs. 13.0% [3.0%]; p < 0.001). C/P ratio with NEXThaler was lower (indicating higher peripheral deposition) than Ellipta (ICS: 0.63 vs. 1.63; LABA: 0.63 vs. 0.99). Inspiratory flow rate did not impact lung deposition with NEXThaler or Ellipta. In contrast, Turbohaler performance was negatively impacted by decreasing inspiratory flow rate. In fact, although lung deposition with Turbohaler was similar to that of NEXThaler at 60 L/min, lung deposition with Turbohaler was significantly lower than NEXThaler at both 40 L/min (∼30%) and 30 L/min (∼50%). Conclusions: Using FRI, we demonstrated better peripheral deposition and C/P ratios of ICS/LABA with NEXThaler versus Ellipta. NEXThaler demonstrated inspiratory flow rate independency of lung deposition versus Turbohaler. These findings suggest that the extrafine formulation is superior to large particle formulations in delivering ICS/LABA consistently both to the large and small airways.

Dataset Information

Gene-based association identifies SPATA13-AS1 as a pharmacogenomic predictor of inhaled short-acting beta-agonist response in multiple population groups.

Publications

Gene-based association identifies SPATA13-AS1 as a pharmacogenomic predictor of inhaled short-acting beta-agonist response in multiple population groups.

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