Umme Kolsum

Eosinophilic inflammation in COPD: prevalence and clinical characteristics

To the Editor: Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition, with patients displaying varying clinical and pathophysiological features. The identification of COPD phenotypes with distinct characteristics may allow targeted treatment strategies directed towards specific biological pathways. Eosinophilic inflammation is thought to be a characteristic feature of asthma rather than COPD. However, studies have shown that a subset of COPD patients with eosinophilic airway inflammation exists, even after the careful exclusion of patients with any features of asthma, such as β-agonist reversibility, bronchial hyperresponsiveness, atopy or a childhood history of asthma [1–4]. Interestingly, these patients exhibit the greatest response to corticosteroid treatment [1–4]. Likewise, sputum eosinophil numbers are increased in a subset of COPD exacerbations [5, 6], and titrating corticosteroid therapy according to sputum eosinophil counts reduces exacerbation rates [7]. Furthermore, there are similar increases in sputum and blood eosinophil numbers during COPD exacerbations [5]; using blood eosinophils as a surrogate maker for airway eosinophils to direct oral corticosteroid therapy for the treatment of COPD exacerbations enhances clinical recovery [8]. Taken together, these observations suggest that eosinophilic airway inflammation in COPD is a predictive biomarker of corticosteroid responsiveness during clinical stability and exacerbations. The prevalence of eosinophilic inflammation in COPD patients is unknown. We do not know whether patients with sputum or blood eosinophilia represent a stable COPD phenotype over time and, apart from corticosteroid responsiveness, little is known about the other clinical characteristics of this subset of patients. We analysed samples from the ECLIPSE (Evaluation of COPD Longitudinally to Identify …

MUC5B Is the Major Mucin in the Gel Phase of Sputum in Chronic Obstructive Pulmonary Disease

RATIONALE Overproduction of mucus is a contributory factor in the progression of chronic obstructive pulmonary disease (COPD). The polymeric mucins are major macromolecules in the secretion. Therefore, we hypothesized that the polymeric mucin composition or properties may be different in the sputum from individuals with COPD and smokers without airflow obstruction. OBJECTIVES To determine the major polymeric mucins in COPD sputum and whether these are different in the sputum from individuals with COPD compared with that from smokers without airflow obstruction. METHODS The polymeric mucin composition of sputum from patients with COPD and smokers without airflow obstruction was analyzed by Western blotting analysis. The tissue localization of the mucins was determined by immunohistochemistry, and their size distribution was analyzed by rate-zonal centrifugation. MEASUREMENTS AND MAIN RESULTS MUC5AC and MUC5B were the major mucins. MUC5AC was the predominant mucin in the smoker group, whereas MUC5B was more abundant from the patients with COPD, with a significant difference in the ratio of MUC5B to MUC5AC (P = 0.004); this ratio was correlated with FEV(1) in the COPD group (r = 0.63; P = 0.01). The lower-charged glycosylated form of MUC5B was more predominant in COPD (P = 0.012). No significant associations were observed with respect to sex, age, or pack-year history. In both groups, MUC5AC was produced by surface epithelial cells and MUC5B by submucosal gland cells. Finally, there was a shift toward smaller mucins in the COPD group. CONCLUSIONS Our data indicate that there are differences in mucin amounts and properties between smokers with and without COPD. Further studies are needed to examine how this may impact disease progression.

Biomarkers of systemic inflammation and depression and fatigue in moderate clinically stable COPD

IntroductionCOPD is an inflammatory disease with major co-morbidities. It has recently been suggested that depression may be the result of systemic inflammation. We aimed to explore the association between systemic inflammation and symptoms of depression and fatigue in patients with mainly moderate and clinically stable COPD using a range of inflammatory biomarkers, 2 depression and 2 fatigue scales.MethodWe assessed 120 patients with moderate COPD (FEV1% 52, men 62%, age 66). Depression was assessed using the BASDEC and CES-D scales. Fatigue was assessed using the Manchester COPD-fatigue scale (MCFS) and the Borg scale before and after 6MWT. We measured systemic TNF-α, CRP, TNF-α-R1, TNF-α-R2 and IL-6.ResultsA multivariate linear model of all biomarkers showed that TNF-α only had a positive correlation with BASDEC depression score (p = 0.007). TNF-α remained positively correlated with depression (p = 0.024) after further adjusting for TNF-α-R1, TNF-α-R2, 6MWD, FEV1%, and pack-years. Even after adding the MCFS score, body mass and body composition to the model TNF-α was still associated with the BASDEC score (p = 0.044). Furthermore, patients with higher TNF-α level (> 3 pg/ml, n = 7) had higher mean CES-D depression score than the rest of the sample (p = 0.03). Borg fatigue score at baseline were weakly correlated with TNF-α and CRP, and with TNF-α only after 6MWT. Patients with higher TNF-α had more fatigue after 6MWD (p = 0.054).ConclusionThis study indicates a possible association between TNF-α and two frequent and major co-morbidities in COPD; i.e., depression and fatigue.

Depression and its relationship with poor exercise capacity, BODE index and muscle wasting in COPD

BACKGROUND The prevalence of depression in stable COPD patients varies markedly, possibly because of use of different scales. We aimed to assess depression using 2 different depression scales and to examine the association between depression and poor exercise performance, BODE index and muscle wasting in clinically stable COPD patients. METHODS 122 stable COPD patients were assessed with the Centre for Epidemiologic Studies Depression Scale (CES-D) and the Brief Assessment Schedule Depression Cards (BASDEC). We also assessed patients with spirometry, bioelectrical impedance analysis, 6-minute walk distance (6MWD), St Georges Respiratory Questionnaire (SGRQ) and MRC dyspnoea and Borg scales. RESULTS The CES-D and BASDEC scales detected almost similar prevalence rates of depression (21% vs 17%) with a Kappa coefficient of 0.68, p<0.0001. The BASDEC scale detected more depression in women and was more closely associated with dyspnoea than the CES-D. COPD severity was associated with depression when using BODE scores but not when GOLD categories were used. Each of the CES-D and BASDEC depression scores were associated with 6MWD after adjusting for FEV1% predicted, gender, age and pack-years (p = <0.0001 and 0.001, respectively). Also, patients with a 6MWD<350 scored significantly higher on both depression scales. Wasted patients appeared to have higher depression scores, but the difference was statistically insignificant. CONCLUSION The administration of different depression scales may affect some of the characteristics of depressed patients rather than the prevalence rate of depression. Depression was associated with poor exercise performance and BODE index in COPD.

COPD phenotype description using principal components analysis

BackgroundAirway inflammation in COPD can be measured using biomarkers such as induced sputum and FeNO. This study set out to explore the heterogeneity of COPD using biomarkers of airway and systemic inflammation and pulmonary function by principal components analysis (PCA).Subjects and MethodsIn 127 COPD patients (mean FEV1 61%), pulmonary function, FeNO, plasma CRP and TNF-α, sputum differential cell counts and sputum IL8 (pg/ml) were measured. Principal components analysis as well as multivariate analysis was performed.ResultsPCA identified four main components (% variance): (1) sputum neutrophil cell count and supernatant IL8 and plasma TNF-α (20.2%), (2) Sputum eosinophils % and FeNO (18.2%), (3) Bronchodilator reversibility, FEV1 and IC (15.1%) and (4) CRP (11.4%). These results were confirmed by linear regression multivariate analyses which showed strong associations between the variables within components 1 and 2.ConclusionCOPD is a multi dimensional disease. Unrelated components of disease were identified, including neutrophilic airway inflammation which was associated with systemic inflammation, and sputum eosinophils which were related to increased FeNO. We confirm dissociation between airway inflammation and lung function in this cohort of patients.

Increased Airway T Regulatory Cells in Asthmatic Subjects

BACKGROUND T regulatory cells (Tregs) may play a role in the suppression of effector lymphocyte activity in asthma. We hypothesized that Treg numbers would be increased in patients with more severe asthma. We also investigated the regulatory function of CD4 cells by expression of cytotoxic T-lymphocyte antigen 4 (CTLA4), and the number of these cells that are intraepithelial lymphocytes expressing CD103. OBJECTIVES The primary aim was to investigate Treg numbers in the BAL of patients with moderate to severe asthma compared with mild asthma and healthy controls. The secondary aim was to investigate BAL CD4(+)CTLA4 and CD4(+)CD103 expression in these groups. METHODS Airway lymphocytes obtained by bronchoscopy from healthy control subjects (six) and patients with mild (15) and moderate to severe (13) asthma were characterized by multiparameter flow cytometric analysis using three methods to determine the numbers of CD4(+) Treg cells: CD4(+)CD25(bright), CD4(+)CD25(+)CD127(-), and CD4(+)FoxP3(+). RESULTS The %CD4(+)FoxP3(+) Tregs were increased in the BAL of patients with moderate to severe asthma (median 4.8%) compared with both mild asthma patients (median 2.5%, P = .03) and healthy subjects (median 0.95, P = .003). Similar findings were observed for CD4(+)CD25(+)CD127(-) Treg numbers, but not CD4CD25(bright). CD4(+) CTLA4 and CD103 expressions were raised in moderate to severe asthma patients compared with those with mild asthma and healthy controls. CONCLUSIONS The number of cells displaying regulatory capacity, either through FoxP3 expression or CTLA4 expression, is increased in moderate to severe asthma. CD4(+)CD103(+) intraepithelial lymphocytes can be retained at tissue sites of inflammation; our findings indicate a role for these cells in asthma pathophysiology.

Predictors of objective cough frequency in chronic obstructive pulmonary disease.

RATIONALE Cough is one of the principal symptoms of chronic obstructive pulmonary disease (COPD) but the potential drivers of cough are likely to be multifactorial and poorly understood. OBJECTIVES To quantify cough frequency in an unselected group of subjects with COPD and investigate the relationships between cough, reported sputum production, smoking, pulmonary function, and cellular airway inflammation. METHODS We studied 68 subjects with COPD (mean age, 65.6 ± 6.7 yr; 67.6% male; 23 smokers; 45 ex-smokers) and 24 healthy volunteers (mean age, 57.5 ± 8.9 yr; 37.5% male; 12 smokers; 12 nonsmokers). Subjects reported cough severity, cough-specific quality of life, and sputum expectoration and performed spirometry, sputum induction, cough reflex sensitivity to capsaicin, and 24-hour ambulatory cough monitoring. MEASUREMENTS AND MAIN RESULTS COPD current smokers had the highest cough rates (median, 9 coughs/h [interquartile range, 4.3-15.6 coughs/h]), almost double that of COPD ex-smokers (4.9 [2.3-8.7] coughs/h; P = 0.018) and healthy smokers (5.3 [1.2-8.3] coughs/h; P = 0.03), whereas healthy volunteers coughed the least (0.7 [0.2-1.4] coughs/h). Cough frequency was not influenced by age or sex and only weakly correlated with cough reflex sensitivity to capsaicin (log C5 r = -0.36; P = 0.004). Reported sputum production, smoking history, and current cigarette consumption strongly predicted cough frequency, explaining 45.1% variance in a general linear model (P < 0.001). In subjects producing a sputum sample, cough frequency was related to current cigarette consumption and percentage of sputum neutrophils (P = 0.002). CONCLUSIONS Ambulatory objective monitoring provides novel insights into the determinants of cough in COPD, suggesting sputum production, smoking, and airway inflammation may be more important than sensitivity of the cough reflex.

The repeatability of interleukin-6, tumor necrosis factor-alpha, and C-reactive protein in COPD patients over one year.

Background Many of the systemic manifestations of chronic obstructive pulmonary disease (COPD) are mediated through increased systemic levels of inflammatory proteins. We assessed the long term repeatability of Interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and C-reactive protein (CRP) over one year and examined the relationships between these systemic markers in COPD. Methods Fifty-eight stable COPD patients completed a baseline and one-year visit. Serum IL-6, plasma CRP, and plasma TNF-α were measured. Repeatability was expressed by intraclass correlation coefficient (Ri) and the Bland–Altman method. Pearson correlations were used to determine the relationships between the systemic markers at both visits. Results There was moderate repeatability with a very high degree of statistical significance (p ≤ 0.001) between the two visits for all the systemic biomarkers (IL-6, CRP, and TNF-α). CRP was significantly associated with IL-6 at both visits (r = 0.55, p = 0.0001, r = 0.51, p = 0.0002, respectively). There were no other significant associations between the systemic markers at either of the visits. Conclusions Systemic inflammatory biomarkers IL-6, CRP, and TNF-α were moderately repeatable over a twelve month period in COPD patients. We have also shown that a robust and repeatable association between IL-6 and CRP exists.

Development, dimensions, reliability and validity of the novel Manchester COPD fatigue scale

Introduction: Fatigue is a prominent symptom in chronic obstructive pulmonary disease (COPD) and it has distinctive features; however, there is a need for a robust scale to measure fatigue in COPD. Methods: At baseline, 122 patients with COPD (forced expiratory volume in 1 s (FEV1) 52%, women 38%, mean age 66 years) completed a pilot fatigue scale covering a pool of 57 items and underwent a range of tests, including indicators of mood and a short general fatigue questionnaire. All patients responded to the 57-item scale and it was readministered to a subset of 30 patients. The pilot scale was first subjected to constructive validated shortening steps and then to a principal components analysis. Results: The Manchester COPD fatigue scale (MCFS) consists of 27 items, loading into three dimensions: physical, cognitive and psychosocial fatigue. Internal consistency (Cronbach’s α = 0.97) and test–retest repeatability (r = 0.97, p<0.001) were tested. It had significant convergent validity, correlating with the FACIT (Functional Assessment of Chronic Illness Therapy) fatigue scale and the fatigue in Borg scale at baseline and after a 6 minute walk distance (6MWD) test (r = −0.81, 0.53 and 0.63, respectively, p<0.001). Its scores were associated with BODE, SGRQ (St George’s Respiratory Questionnaire) and MRC (Medical Research Council) dyspnoea scores (r = 0.46, 0.8 and 0.51, respectively, p<0.001). The scale demonstrated meaningful discriminating ability; patients who walked <350 m in a 6MWD test as well as depressed patients (⩾16 scores in the Center for Epidemiologic Study on Depression (CES-D) scale) had nearly twice as high fatigue scores as those who walked ⩾350 m or were not depressed (p<0.001). Conclusion: The MCFS provides a simple, reliable and valid measurement of total and dimensional fatigue in moderate stable COPD.

The EvA study: aims and strategy

The EvA study is a European Union-funded project under the Seventh Framework Programme (FP7), which aims at defining new markers for chronic obstructive pulmonary disease (COPD) and its subtypes. The acronym is derived from emphysema versus airway disease, indicating that the project targets these two main phenotypes of the disease. The EvA study is based on the concept that emphysema and airway disease are governed by different pathophysiological processes, are driven by different genes and have differential gene expression in the lung. To define these genes, patients and non-COPD controls are recruited for clinical examination, lung function analysis and computed tomography (CT) of the lung. CT scans are used to define the phenotypes based on lung density and airway wall thickness. This is followed by bronchoscopy in order to obtain samples from the airways and the alveoli. These tissue samples, along with blood samples, are then subjected to genome-wide expression and association analysis and markers linked to the phenotypes are identified. The population of the EvA study is different from other COPD study populations, since patients with current oral glucocorticoids, antibiotics and exacerbations or current smokers are excluded, such that the signals detected in the molecular analysis are due to the distinct inflammatory process of emphysema and airway disease in COPD.