The pharmacogenomics of inhaled corticosteroids and lung function decline in COPD.
Ma'en ObeidatAlen FaizXuan LiMaarten van den BergeNadia N HanselPhilippe JoubertKe HaoCorry-Anke BrandsmaNicholas RafaelsRasika MathiasIngo RuczinskiTerri H BeatyKathleen C BarnesS F Paul ManPeter D ParéDon D SinPublished in: The European respiratory journal (2019)
Inhaled corticosteroids (ICS) are widely prescribed for patients with chronic obstructive pulmonary disease (COPD), yet have variable outcomes and adverse reactions, which may be genetically determined. The primary aim of the study was to identify the genetic determinants for forced expiratory volume in 1 s (FEV1) changes related to ICS therapy.In the Lung Health Study (LHS)-2, 1116 COPD patients were randomised to the ICS triamcinolone acetonide (n=559) or placebo (n=557) with spirometry performed every 6 months for 3 years. We performed a pharmacogenomic genome-wide association study for the genotype-by-ICS treatment effect on 3 years of FEV1 changes (estimated as slope) in 802 genotyped LHS-2 participants. Replication was performed in 199 COPD patients randomised to the ICS, fluticasone or placebo.A total of five loci showed genotype-by-ICS interaction at p<5×10-6; of these, single nucleotide polymorphism (SNP) rs111720447 on chromosome 7 was replicated (discovery p=4.8×10-6, replication p=5.9×10-5) with the same direction of interaction effect. ENCODE (Encyclopedia of DNA Elements) data revealed that in glucocorticoid-treated (dexamethasone) A549 alveolar cell line, glucocorticoid receptor binding sites were located near SNP rs111720447. In stratified analyses of LHS-2, genotype at SNP rs111720447 was significantly associated with rate of FEV1 decline in patients taking ICS (C allele β 56.36 mL·year-1, 95% CI 29.96-82.76 mL·year-1) and in patients who were assigned to placebo, although the relationship was weaker and in the opposite direction to that in the ICS group (C allele β -27.57 mL·year-1, 95% CI -53.27- -1.87 mL·year-1).The study uncovered genetic factors associated with FEV1 changes related to ICS in COPD patients, which may provide new insight on the potential biology of steroid responsiveness in COPD.
Keyphrases
- lung function
- end stage renal disease
- chronic obstructive pulmonary disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- cystic fibrosis
- healthcare
- prognostic factors
- clinical trial
- emergency department
- randomized controlled trial
- type diabetes
- mental health
- air pollution
- machine learning
- low dose
- double blind
- patient reported outcomes
- deep learning
- climate change
- study protocol
- extracorporeal membrane oxygenation
- high throughput
- open label
- skeletal muscle
- social media
- insulin resistance
- health information
- mechanical ventilation
- phase iii
- clinical decision support
- placebo controlled