Abstract. Recent studies have proposed that susceptibility to chronic obstructive pulmonary disease (COPD) might be related with the polymorphisms of some genes encoding antioxidant enzymes, such as heme oxygenase-1 (HOX-1) and microsomal epoxide hydrolase (mEPH). We examined these polymorphisms in 256 patients with COPD and 266 healthy smokers from Han population in Southwest China. The frequencies of each allele were compared both individually and in combination between patients and controls. Polymorphisms of HOX-1 gene could be grouped into three classes: S (≤25 repeat), M (26-31 repeat), and L (≥32 repeat). The allele frequencies of class L and the genotypic frequencies of the group with L were significantly higher in COPD than in controls. Our findings also showed that the proportion of slow mEPH activity was significantly higher in COPD than in controls. Conversely, the proportion of fast mEPH activity was significantly lower in COPD. In combined analysis, the frequency of the individuals having at least one L allele in the HOX-1 gene promoter and slow or very slow activity genotype for mEPH was higher in COPD than in control. Genetic polymorphisms in HOX-1 and mEPH genes are associated with the development of COPD in Southwest China.
BackgroundHeme oxygenase-1 (HO-1) plays a protective role as an antioxidant in the lung, and HO-1 gene promoter polymorphism has been shown to be associated with the severity and prognosis of COPD patients. N-acetylcysteine (NAC), an antioxidant/mucous modifier, has shown an uncertain benefit in COPD patients. We hypothesized that this polymorphism could be associated with the effectiveness of oral NAC.MethodsA total of 368 patients with COPD were recruited and the polymorphisms of their HO-1 gene promoter were classified into three subclasses according to the number of (GT)n repeats, as previously reported: class S (<27 (GT)n repeats), class M (27–32 (GT)n repeats), and class L (>32 (GT)n repeats). These subjects were then classified as L+ group (with the L allele: L/L, L/M, L/S) and L− group (without the L allele: M/M, M/S, S/S). All the patients were allocated to standard therapy plus NAC 600 mg bid over a 1-year period and were observed over that year.ResultsThe L− group saw improvements in forced expiratory volume in 1 second (FEV1) (from 1.44±0.37 to 1.58±0.38, P=0.04) and FEV1% predicted (from 56.6±19.2 to 59.7±17.2, P=0.03). No improvement was found in forced vital capacity of each group and the decline of forced vital capacity in both of the groups was not statistical significant. The number of yearly COPD exacerbations of the L− group was 1.5±0.66 which was lower than the 2.1±0.53 of the L+ group (P<0.01). For the changes of St George’s Respiratory Questionnaire (SGRQ) score, only the activity score of the L− group was more significant than that of the L+ group (P=0.02). The improvement of the outcome of 6-minute walking distance test in L− group (from 290.1±44.9 meters to 309.7±46.9 m) was higher than that in the L+ group (from 289.7±46.2 m to 300.3±44.2 m) (P=0.03).ConclusionA 600 mg bid oral NAC treatment for 1-year on COPD patients without the L allele can improve the FEV1, FEV1% predicted, the SGRQ activity score, and the result of 6-minute walking distance test, and the exacerbation rate of the L allele carrier in COPD patients is much higher than in the COPD patients without the L allele.
BackgroundMetabolomics is the global unbiased analysis of all the small-molecule metabolites within a biological system. Metabolic profiling of different high-resolution computed tomography (HRCT) phenotypes of COPD patients before and after treatment may identify discriminatory metabolites that can serve as biomarkers and therapeutic agents.Patients and methods1H nuclear magnetic resonance spectroscopy (1H-NMR)-based metabolomics was performed on a discovery set of plasma samples from 50 patients with stable COPD. Patients were assigned into two groups on the basis of HRCT findings including phenotype E (n=22) and phenotype M (n=28). After budesonide–formoterol treatment (160/4.5 µg ×2 inhalations twice daily for 3 months), clinical characteristics and metabolites were then compared between phenotype E pretreatment and posttreatment, phenotype M pretreatment and posttreatment, phenotype E pretreatment and phenotype M pretreatment, and phenotype E posttreatment and phenotype M posttreatment.ResultsInhaled budesonide–formoterol therapy for both phenotype E (emphysema without bronchial wall thickening) and phenotype M (emphysema with bronchial wall thickening) was effective. However, phenotype E and phenotype M were different in response to therapy. Patients with phenotype M in response to therapeutic effects were significantly greater compared with phenotype E. Certain metabolites were identified, which were closely related to the treatment and phenotype. Metabolic changes in phenotype E or phenotype M after treatment may be involved with adenosine diphosphate (ADP), guanosine, choline, malonate, tyrosine, glycine, proline, l-alanine, l-valine, l-threonine leucine, uridine, pyruvic acid, acetone and metabolism disturbance. Metabolic differences between phenotype E and phenotype M in pretreatment and posttreatment covered glycine, d-glucose, pyruvic acid, succinate, lactate, proline, l-valine and leucine.ConclusionBronchial wall thickening in COPD may be an indicator for predicting the better response to the treatment with bronchodilator and corticosteroid. The identification of metabolic alterations provides new insights into different HRCT phenotypes and therapeutic assessment of COPD.
BackgroundHeterogeneity of COPD results in different therapeutic effects for different patients receiving the same treatment. COPD patients need to be individually treated according to their own characteristics. The purpose of this study was to explore the differences in different CT phenotypic COPD by molecular metabolites through the use of metabolomics.MethodsAccording to the characteristics of CT imaging, 42 COPD patients were grouped into phenotype E (n=20) or phenotype M (n=24). Each COPD patient received tiotropium bromide powder for inhalation for a therapeutic period of 3 months. All subjects were assigned into phenotype E in pre-therapy (EB, n=20), phenotype E in post-therapy (EA, n=20), phenotype M in pre-therapy (MB, n=22), phenotype M in post-therapy (MA, n=22), or normal control (N, n=24). The method of metabolomics based on 1H nuclear magnetic resonance (1H-NMR) was used to compare the changes in serum metabolites between COPD patients and normal controls and between different phenotypes of COPD patients in pre- and post-therapy.ResultsPatients with COPD phenotype E responded better to tiotropium bromide than patients with COPD phenotype M in terms of pulmonary function and COPD assessment test scores. There were differences in metabolites in COPD patients vs normal control people. Differences were also observed between different COPD phenotypic patients receiving the treatment in comparison with those who did not receive treatment. The changes of metabolites involved lactate, phenylalanine, fructose, glycine, asparagine, citric acid, pyruvic acid, proline, acetone, ornithine, lipid, pyridoxine, maltose, betaine, lipoprotein, and so on. These identified metabolites covered the metabolic pathways of amino acids, carbohydrates, lipids, genetic materials, and vitamin.ConclusionThe efficacy of tiotropium bromide on COPD phenotype E is better than that of phenotype M. Metabolites detected by 1H-NMR metabolomics have potentialities of differentiation of COPD and healthy people, discrimination of different COPD phenotypes, and giving insight into the individualized treatment of COPD.
BackgroundThe role of the antioxidant N-acetylcysteine (NAC) in the treatment of chronic obstructive pulmonary disease (COPD) has not been clarified as yet. In early studies, we found that the proportion of smokers with COPD having extremely slow/slow microsomal epoxide hydrolase (EPHX1) enzyme activity is significantly higher than that in healthy smokers. The purpose of this study was to evaluate whether different EPHX1 enzyme activity is related to differential therapeutic effects of treatment with NAC in COPD.MethodsA total of 219 patients with COPD were randomly allocated to an extremely slow/slow EPHX1 enzyme activity group (n=157) or a fast/normal EPHX1 enzyme activity group (n=62) according to their EPHX1 enzyme activity. Both groups were treated with NAC 600 mg twice daily for one year. The main study parameters, including forced expiratory volume in one second (FEV1), St George’s Respiratory Questionnaire (SGRQ), and yearly exacerbation rate, were measured at baseline and at 6-month intervals for one year.ResultsBoth FEV1 and SGRQ symptom scores were improved after treatment with NAC in the slow activity group when compared with the fast activity group. Further, changes in FEV1 and SGRQ symptom score in patients with mild-to-moderate COPD were more significant than those in patients with severe-to-very severe COPD. The yearly exacerbation rates were reduced in both groups, but the reduction in the slow activity group was significantly lower than in the fast activity group.ConclusionNAC treatment in COPD patients with extremely slow/slow EPHX1 enzyme activity improves FEV1 and the SGRQ symptom score, especially in those with mild-to-moderate COPD, and polymorphism in the EPHX1 gene may have a significant role in differential responses to treatment with NAC in patients with COPD.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.