GLCCI1 rs37973 does not influence treatment response to inhaled corticosteroids in white subjects with asthma.
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ABSTRACT:
SUBMITTER: Hosking L
PROVIDER: S-EPMC3960323 | biostudies-literature | 2014 Feb
REPOSITORIES: biostudies-literature
Publications
GLCCI1 rs37973 does not influence treatment response to inhaled corticosteroids in white subjects with asthma.
Hosking Louise L Bleecker Eugene E Ghosh Soumitra S Yeo Astrid A Jacques Loretta L Mosteller Michael M Meyers Deborah D
The Journal of allergy and clinical immunology 20131013 2
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Project description:BackgroundPrevious studies have demonstrated that glucocorticoid-induced transcript 1 gene (GLCCI1) rs37973 mutant genotype is associated with poor inhaled corticosteroid (ICS) response in asthmatics. As human airway relaxation is regulated by circulation epinephrine, which can be enhanced by corticosteroid. It is unknown whether or not GLCCI1 rs37973 is associated with circulation epinephrine and cortisol concentrations in asthma. The aim of this study is to evaluate these relationships.MethodsA total of 182 asthmatics and 180 healthy controls were recruited for the study. 30 mild-to-moderate asthmatics received fluticasone propionate (125 μg, bid) treatment for 12 weeks. GLCCI1 rs37973 genotyping was performed with the iPlex MassARRAY genotyping platform. The plasma concentrations of cortisol and epinephrine of each participant were detected by enzyme linked immunosorbent assay (ELISA) kits.ResultsGLCCI1 rs37973 homozygotes mutant genotype GG had a higher plasma epinephrine concentration (median concentration 27.032 pg/ml, nGG = 36; median concentration 23.149 pg/ml, nAA+AG = 146; P = 0.015) and cortisol concentration (median concentration 1.141 ng/ml, nGG = 36; median concentration 0.921 ng/ml, nAA+AG = 146; P = 0.013). Both epinephrine concentration and cortisol concentration in plasma were positively correlated with FEV1 (r = 0.889 and r = 0.821, respectively. nasthma = 182). For asthmatics treated with ICS, rs37973 was associated with change in plasma epinephrine and cortisol concentration in a recessive model (AA + AG vs GG), with GG had less improvement in epinephrine concentration [ΔEPIAA+AG = 6.843 (9.26) pg/ml, nAA+AG = 26; ΔEPIGG = -1.666 (6.52) pg/ml, nGG = 4; P = 0.018] and cortisol concentration [ΔCORAA+AG = 0.3040 (0.21) ng/ml, nAA+AG = 26; ΔCORGG = -0.066 (0.24) ng/ml, nGG = 4; P = 0.009].ConclusionsOur study suggested that the poor ICS response in GLCCI1 rs37973 mutant genotype might be related to the less increased amplitudes of plasma epinephrine and cortisol in asthmatic patients.Trial registrationChiCTR-RCC-13003634 www.chictr.org.cn. Active since September 27, 2013.
| S-EPMC6439416 | biostudies-literature
Project description:Glucocorticoids are the primary anti-inflammatory therapy for asthma, but their effects are characterized by some interindividual variability that might have a genetic basis.We aimed to determine the relationship between pulmonary function change and the variant of the glucocorticoid-induced transcript 1 (GLCCI1) gene in patients with asthma receiving long-term ICS treatment, the association of GLCCI1 genotypes and the level of GLCCI1 expression and cytokines production.A total of 418 patients with asthma, including 25 individuals from 11 families with a history of asthma, were enrolled. The effects of single-nucleotide polymorphisms (SNPs) in GLCCI1 on changes in lung function in response to inhaled glucocorticoids were assessed. The expression levels of GLCCI1 mRNA and cytokines were also measured.The SNP rs37973 in GLCCI1 was independently associated with changes in forced expiratory volume at one second (FEV1) and FEV1%pred. Individuals homozygous for the wild-type allele who had a percent FEV1 change greater than 5% were more common than individuals homozygous for the rare allele. When patients were stratified according to genotype, GLCCI1 expression was enhanced upon administration of low-dose dexamethasone among patients with the rs37973 A allele; however, GG homozygotes required high-dose dexamethasone to achieve enhanced GLCCI1 expression. Furthermore, the levels of some cytokines were significantly reduced after glucocorticoid treatment in individuals with the AA and AG genotypes.The genetic variant rs37973 in GLCCI1 is associated with poorer clinical therapeutic response to inhaled glucocorticoids in a Chinese asthma population.
| S-EPMC6392942 | biostudies-literature
Project description:ObjectiveThis study investigated the relationship between the glucocorticoid-induced transcript 1 (GLCCI1) gene variant and the degree of improvement in lung function with inhaled corticosteroids (ICS).MethodsWe searched the PubMed, Embase, Cochrane Library, CBM, CNKI and Wanfang databases to obtain studies on the GLCCI1 rs37973 variant and the efficacy of ICS in asthma.ResultsThe overall meta-analysis showed that patients with the GG phenotype (mutant homozygotes) exhibited significantly smaller forced expiratory volume in 1 sec (FEV1) change than patients with the AG phenotype (mutant heterozygous) (MD = -0.08, 95% CI [-0.12, -0.03], P = 0.001). Compared with the AA phenotype (wild homozygotes), the GG phenotype (MD = -4.23, 95% CI [-6.09, -2.38], P < 0.00001) and AG phenotype (MD = -1.92, 95% CI [-2.35, -1.49], P < 0.00001) had significantly smaller FEV1%pred changes. The FEV1 change subgroup analysis showed that the GG phenotype group was smaller than the AA phenotype group at 8 (MD = -0.53, 95% CI [-0.91, -0.14], P = 0.007), 12 (MD = -0.16, 95% CI [-0.30, -0.02], P = 0.02) and 24 (MD = -0.09, 95% CI [-0.17, -0.01], P = 0.02) weeks of treatment; the GG phenotype group was smaller than the AG phenotype group at 12 weeks (MD = -0.08, 95% CI [-0.15, -0.01], P = 0.02).ConclusionThis meta-analysis suggests that the GLCCI1 rs37973 variant affects the efficacy of ICS and that the presence of the G allele attenuates the improvement in lung function with ICS.
| S-EPMC10265153 | biostudies-literature
Project description:Inhaled corticosteroids (ICSs) are widely prescribed in chronic obstructive pulmonary disease (COPD). However, little is known about predictors of ICSs therapeutic response. To investigate whether the variation in glucocorticoid-induced transcript 1 (GLCCI1) rs37973 is associated with ICS efficacy. A total of 204 clinically stable COPD patients were recruited and administered to inhaled fluticasone propionate/salmeterol combination (500/50 ug, twice daily) for 24 weeks. We genotyped the functional rs37973 and mainly assessed its effects on changes in lung function. In vitro, neutrophils isolated from parts of patients were incubated with various concentrations of dexamethasone (0, 10-6 M and 10-4 M) in the presence or absence of cigarette smoke extract, apoptosis was then assessed by flow cytometry. Patients with the homozygous GG genotype (increases of 15.3 ± 33.2 mL) had significantly poorer improvement in FEV1 than those with the AA (92.7 ± 29.6 mL; p < 0.001) or AG (59.4 ± 26.9 mL; p < 0.001) genotypes after 24-week treatment. In vitro, dexamethasone had less inhibitory effect of neutrophil apoptosis on GG genotype, which further validated the presence of mutant allele 'G' might negatively affect glucocorticoid responsiveness irrespective of smoking status. The GG genotype of rs37973 may associated with decreased ICSs efficacy in Chinese COPD patients.
| S-EPMC5301211 | biostudies-literature
Project description:BackgroundAlthough inhaled corticosteroids (ICS) are the first-line therapy for patients with persistent asthma, many patients continue to have exacerbations. We developed machine learning models to predict the ICS response in patients with asthma.MethodsThe subjects included asthma patients of European ancestry (n = 1371; 448 children; 916 adults). A genome-wide association study was performed to identify the SNPs associated with ICS response. Using the SNPs identified, two machine learning models were developed to predict ICS response: (1) least absolute shrinkage and selection operator (LASSO) regression and (2) random forest.ResultsThe LASSO regression model achieved an AUC of 0.71 (95% CI 0.67-0.76; sensitivity: 0.57; specificity: 0.75) in an independent test cohort, and the random forest model achieved an AUC of 0.74 (95% CI 0.70-0.78; sensitivity: 0.70; specificity: 0.68). The genes contributing to the prediction of ICS response included those associated with ICS responses in asthma (TPSAB1, FBXL16), asthma symptoms and severity (ABCA7, CNN2, PTRN3, and BSG/CD147), airway remodeling (ELANE, FSTL3), mucin production (GAL3ST), leukotriene synthesis (GPX4), allergic asthma (ZFPM1, SBNO2), and others.ConclusionsAn accurate risk prediction of ICS response can be obtained using machine learning methods, with the potential to inform personalized treatment decisions. Further studies are needed to examine if the integration of richer phenotype data could improve risk prediction.
| S-EPMC10970828 | biostudies-literature
Project description:There is a large interindividual variability in response to ICSs in asthma. About 70% of the variance in ICS response is likely due at least partially to genetically determined characteristics of target genes. In this article, we examine the effects on the ICS response of gene variations in the corticosteroid pathway, and in the pharmacokinetics of corticosteroids, and also those outside the corticosteroid pathway, which have the potential to influence corticosteroid activity. Although the available evidence indicates that responses to ICSs in asthma are influenced by different genetic variants, there are still deep uncertainties as to whether a real association between these genetic variants and corticosteroid response could also possibly exist because there are difficulties in reproducing pharmacogenetic findings. This explains at least partly the insufficient use of pharmacogenomic data when treating asthmatic patients, which creates a real limitation to the proper use of ICSs in an era of precision medicine that links the right patient to the right treatment. Knowing and dealing with the genetic factors that influence the therapeutic ICS response is a fundamental condition for prescribing the right dose of ICS to the right patient at the right time.
| S-EPMC7414974 | biostudies-literature
Project description: Not available
| S-EPMC7328335 | biostudies-literature
Project description:BackgroundTo date, genome-wide association studies (GWASs) of inhaled corticosteroid (ICS) response in asthmatic patients have focused primarily on lung function and exacerbations.ObjectiveWe hypothesized that GWAS analysis could identify novel genetic markers predicting a symptomatic response to ICSs.MethodsWe analyzed differences in asthma symptoms in response to ICSs in 124 white children from the Childhood Asthma Management Program (CAMP) trial using scores from diary cards. Of the 440,862 single nucleotide polymorphisms (SNPs) analyzed, the top 100 ranked SNPs were pursued for replication initially in subjects from the pediatric Childhood Asthma Research and Education trials (77 white children) and then in subjects from the adult Asthma Clinical Research Network (110 white adults) and Leukotriene Modifier or Corticosteroid or Corticosteroid-Salmeterol trials (110 white adults).ResultsThe lowest P value for GWAS analysis in the CAMP trial was 8.94 × 10(-8) (rs2388639). Of the 60 SNPs available in the Childhood Asthma Research and Education Network trials, rs1558726 (combined P = 1.02 × 10(-5)), rs2388639 (combined P = 8.56 × 10(-9)), and rs10044254 (combined P = 9.16 × 10(-8)) independently replicated. However, these 3 SNPs were not additionally replicated in the adult asthmatic patients of the remaining trials. rs10044254 lies in the intronic region of F-box and leucine-rich repeat protein 7 (FBXL7) and is associated with decreased expression in immortalized B cells derived from CAMP participants.ConclusionsWe have identified a novel SNP, rs10044254, associated with both decreased expression of FBXL7 and improved symptomatic response to ICSs in 2 independent pediatric cohorts. Our results suggest that there might be a specific genetic mechanism regulating symptomatic response to ICSs in children that does not carry over to adults.
| S-EPMC4112383 | biostudies-literature
Project description:There is wide variability in the response to inhaled corticosteroids (ICS) in asthma. While some of this heterogeneity of response is due to adherence and environmental causes, genetic variation also influences response to treatment and genetic markers may help guide treatment. Over the past years, researchers have investigated the relationship between a large number of genetic variations and response to ICS by performing pharmacogenomic studies. In this systematic review we will provide a summary of recent pharmacogenomic studies on ICS and discuss the latest insight into the potential functional role of identified genetic variants. To date, seven genome wide association studies (GWAS) examining ICS response have been published. There is little overlap between identified variants and methodologies vary largely. However, in vitro and/or in silico analyses provide additional evidence that genes discovered in these GWAS (e.g. GLCCI1, FBXL7, T gene, ALLC, CMTR1) might play a direct or indirect role in asthma/treatment response pathways. Furthermore, more than 30 candidate-gene studies have been performed, mainly attempting to replicate variants discovered in GWAS or candidate genes likely involved in the corticosteroid drug pathway. Single nucleotide polymorphisms located in GLCCI1, NR3C1 and the 17q21 locus were positively replicated in independent populations. Although none of the genetic markers has currently reached clinical practise, these studies might provide novel insights in the complex pathways underlying corticosteroids response in asthmatic patients.
| S-EPMC6327448 | biostudies-literature
Project description:BackgroundAsthma is a common chronic lung disease in children. We aimed to determine the associations between stress-induced phosphoprotein 1 (STIP1) and glucocorticoid-induced transcript 1 (GLCCI1) polymorphisms and susceptibility of childhood asthma and inhaled corticosteroid (ICS) response in children.MethodsA total of 263 Chinese Han asthmatic children were recruited from the Xiangya Hospital, Central South University. Pulmonary function tests were performed before the treatment and 3 months after the treatment. One hundred fifty non-asthmatic children were recruited. Each participant's DNA was extracted from the peripheral blood and Method of MassARRAY was used to genotype the single-nucleotide polymorphisms (SNPs).ResultsSTIP1 rs2236647 wild-type homozygote (CC) was associated with increased asthma risk of children (OR = 1.858, 95% CI:1.205-2.864), but not associated with the ICS response. GLCCI1 rs37969, rs37972 and rs37973 polymorphisms were not associated with the risk of childhood asthma. However, rs37969 mutant genotypes (TT/GT) were significantly associated with less improvement in PD20 (p = 0.028). We also found significant associations between rs37969, rs37972 and rs37973 mutant genotypes and less improvement in maximal midexpiratory flow (MMEF) after ICS treatment for 3 months (p = 0.036, p = 0.010 and p = 0.003, respectively).ConclusionsSTIP1 rs2236647 was associated with asthma risk of children and GLCCI1 rs37969 mutant genotypes were associated with less improvement in airway hyper-responsiveness. GLCCI1 rs37969, rs37972 and rs37973 polymorphisms might be associated with pulmonary function in childhood asthma patients after ICS treatment.
| S-EPMC7677774 | biostudies-literature