Effect of Inhaled ß2-Agonist on Exhaled Nitric Oxide in Chronic Obstructive Pulmonary Disease.

The fractional exhaled nitric oxide measured at an expiratory flow of 50mL/s (FENO50) is a marker of airway inflammation, and high levels are associated with greater response to steroid treatment. In asthma, FENO50 increases with bronchodilation and decreases with bronchoconstriction, the latter potentially causing an underestimate of the degree of airway inflammation when asthma worsens. It is unknown whether the same effect occurs in chronic obstructive lung disease (COPD). Likewise, it is not known whether changes in airway calibre in COPD patients alter flow-independent parameters describing pulmonary nitric oxide exchange, such as the maximal flux of nitric oxide (NO) from the proximal airway compartment (J'awNO) and the distal airway/alveolar concentration of NO (CANO). We recruited 24 patients with COPD and performed FENO analysis at multiple expiratory flows before and after treatment with inhaled ß2-agonist bronchodilator therapy. For the 21 patients analysed, FENO50 rose from 17.1 (1.4) ppb (geometric mean (geometric SD)) at baseline, to 19.3 (1.3) ppb after bronchodilator therapy, an increase of 2.2 ppb (95% CI, 0.7-3.6; P = 0.005). There were non-significant changes in flow-independent NO parameters. The change in FENO50 correlated positively with the change in J'awNO (rs = 0.67, P < 0.001; rs = 0.62, P = 0.002 before and after correction for axial back-diffusion respectively) following bronchodilation. Inhaled bronchodilator therapy can increase exhaled nitric oxide measurements in COPD. The standardisation of inhaled bronchodilator therapy before FENO analysis in COPD patients should therefore be considered in both research and clinical settings.

Sputum mast cell subtypes relate to eosinophilia and corticosteroid response in asthma.

Mast cells are a resident inflammatory cell of the airways, involved in both the innate and adaptive immune response. The relationship between mast cells and inflammatory phenotypes and treatment response of asthma is not clear.Clinical characteristics of subjects with stable asthma (n=55), inflammatory cell counts and gene expression microarrays in induced sputum were analysed. Sputum mast cell subtypes were determined by molecular phenotyping based on expression of mast cell biomarkers (tryptase (TPSAB1), chymase (CMA1) and carboxypeptidase A3 (CPA3)). Effects of mast cell subtypes on steroid response were observed in a prospective cohort study (n=50).MCT(n=18) and MCT/CPA3(mRNA expression of TPSAB1 and CPA3; n=29) subtypes were identified, as well as a group without mast cell gene expression (n=8). The MCT/CPA3 subtype had elevated exhaled nitric oxide fraction, sputum eosinophils, bronchial sensitivity and reactivity, and poorer asthma control. This was accompanied by upregulation of 13 genes. Multivariable logistic regression identified CPA3(OR 1.21, p=0.004) rather than TPSAB1(OR 0.92, p=0.502) as a determinant of eosinophilic asthma. The MCT/CPA3 subtype had a better clinical response and reduced signature gene expression with corticosteroid treatment.Sputum mast cell subtypes of asthma can be defined by a molecular phenotyping approach. The MCT/CPA3 subtype demonstrated increased bronchial sensitivity and reactivity, and signature gene expression, which was associated with airway eosinophilia and greater corticosteroid responsiveness.

Biomarker-based asthma phenotypes of corticosteroid response.

BACKGROUND: Asthma is a heterogeneous disease with different phenotypes. Inhaled corticosteroid (ICS) therapy is a mainstay of treatment for asthma, but the clinical response to ICSs is variable. OBJECTIVE: We hypothesized that a panel of inflammatory biomarkers (ie, fraction of exhaled nitric oxide [Feno], sputum eosinophil count, and urinary bromotyrosine [BrTyr] level) might predict steroid responsiveness. METHODS: The original study from which this analysis originates comprised 2 phases: a steroid-naive phase 1 and a 28-day trial of ICSs (phase 2) during which Feno values, sputum eosinophil counts, and urinary BrTyr levels were measured. The response to ICSs was based on clinical improvements, including a 12% or greater increase in FEV1, a 0.5-point or greater decrease in Asthma Control Questionnaire score, and 2 doubling dose or greater increase in provocative concentration of adenosine 5'-monophosphate causing a 20% decrease in FEV1 (PC20AMP). Healthy control subjects were also evaluated in this study for comparison of biomarkers with those seen in asthmatic patients. RESULTS: Asthmatic patients had higher than normal Feno values, sputum eosinophil counts, and urinary BrTyr levels during the steroid-naive phase and after ICS therapy. After 28-day trial of ICSs, Feno values decreased in 82% of asthmatic patients, sputum eosinophil counts decreased in 60%, and urinary BrTyr levels decreased in 58%. Each of the biomarkers at the steroid-naive phase had utility for predicting steroid responsiveness, but the combination of high Feno values and high urinary BrTyr levels had the best power (13.3-fold, P < .01) to predict a favorable response to ICS therapy. However, the magnitude of the decrease in biomarker levels was unrelated to the magnitude of clinical response to ICS therapy. CONCLUSION: A noninvasive panel of biomarkers in steroid-naive asthmatic patients predicts clinical responsiveness to ICS therapy.

Sputum gene expression signature of 6 biomarkers discriminates asthma inflammatory phenotypes.

BACKGROUND: Airway inflammation is associated with asthma exacerbation risk, treatment response, and disease mechanisms. OBJECTIVE: This study aimed to identify and validate a sputum gene expression signature that discriminates asthma inflammatory phenotypes. METHODS: An asthma phenotype biomarker discovery study generated gene expression profiles from induced sputum of 47 asthmatic patients. A clinical validation study (n = 59 asthmatic patients) confirmed differential expression of key genes. A 6-gene signature was identified and evaluated for reproducibility (n = 30 asthmatic patients and n = 20 control subjects) and prediction of inhaled corticosteroid (ICS) response (n = 71 asthmatic patients). Receiver operating characteristic curves were calculated, and area under the curve (AUC) values were reported. RESULTS: From 277 differentially expressed genes between asthma inflammatory phenotypes, we identified 23 genes that showed highly significant differential expression in both the discovery and validation populations. A signature of 6 genes, including Charcot-Leydon crystal protein (CLC); carboxypeptidase A3 (CPA3); deoxyribonuclease I-like 3 (DNASE1L3); IL-1ß (IL1B); alkaline phosphatase, tissue-nonspecific isozyme (ALPL); and chemokine (C-X-C motif) receptor 2 (CXCR2), was reproducible and could significantly (P < .0001) discriminate eosinophilic asthma from other phenotypes, including patients with noneosinophilic asthma (AUC, 89.6%), paucigranulocytic asthma (AUC, 92.6%), or neutrophilic asthma (AUC, 91.4%) and healthy control subjects (AUC, 97.6%), as well as discriminating patients with neutrophilic asthma from those with paucigranulocytic asthma (AUC, 85.7%) and healthy control subjects (AUC, 90.8). The 6-gene signature predicted ICS response (>12% change in FEV1; AUC, 91.5%). ICS treatment reduced the expression of CLC, CPA3, and DNASE1L3 in patients with eosinophilic asthma. CONCLUSIONS: A sputum gene expression signature of 6 biomarkers reproducibly and significantly discriminates inflammatory phenotypes of asthma and predicts ICS treatment response. This signature has the potential to become a useful diagnostic tool to assist in the clinical diagnosis and management of asthma.

Asthma phenotypes: consistency of classification using induced sputum.

BACKGROUND AND OBJECTIVE: Asthma can be classified as eosinophilic or non-eosinophilic based on the cell profile of induced sputum. This classification can help determine whether corticosteroid treatment is indicated. We assessed the stability of these phenotypes over time and with different treatment regimens. METHODS: Clinically stable, non-smoking, asthmatic adults were enrolled in one of two studies. In study one, induced sputum cell counts from 28 subjects were analysed after 4 weeks without corticosteroid treatment and after 6 week treatments with placebo, regular inhaled beta-agonist, inhaled corticosteroid, and combined beta-agonist and corticosteroid. In study two, sputum from 26 subjects with non-eosinophilic asthma was analysed after 12 weeks of placebo and after four 2-week corticosteroid washouts. Sputum with <2% eosinophils was classified as non-eosinophilic. RESULTS: Sputum classification changed frequently in both studies. In study one, only one of eight participants with non-eosinophilic sputum after placebo treatment remained non-eosinophilic throughout. In study two, all of participants had at least one eosinophilic sputum sample, despite the fact that all had been non-eosinophilic at recruitment. Neutrophilic asthma was uncommon in both studies and was also inconsistent. CONCLUSIONS: The phenotypic classification of asthma changes frequently. A diagnosis of non-eosinophilic asthma should not be based on a single sputum sample.

Predicted versus absolute values in the application of exhaled nitric oxide measurements.

BACKGROUND: Constitutional factors such as age, sex and height, and acquired factors such as atopy and smoking, influence exhaled nitric oxide (F(E)NO) levels. The utility of predicted values based on reference equations which account for these factors has not been evaluated. AIM: To compare the performance characteristics of absolute versus % predicted values for F(E)NO as predictors of diagnosed asthma and steroid response. METHODS: We compared the sensitivities, specificities and likelihood ratios using F(E)NO (% predicted) with absolute values for F(E)NO (ppb) in 52 steroid-naive subjects with non-specific respiratory symptoms. The reference equations of Olin et al. (Chest, 2007) and Dressel et al. (Resp. Med., 2008) were used to derive predicted values. Receiver operating curve analyses were performed and the areas under the curve (AUC) were calculated for two outcomes: diagnosed asthma (yes/no), and steroid response after fluticasone for 4 weeks (defined as ≥ 12% increase in FEV(1); increase in mean morning PEF ≥ 15%; reduction in symptoms ≥ 1 point; increase in PC(20)AMP of ≥ 2 doubling doses). RESULTS: The AUCs for diagnosed asthma were: F(E)NO (absolute) 0.770; F(E)NO (% pred.): 0.758 (Olin) and 0.775 (Dressel) (NS). The AUCs for F(E)NO (abs.) and F(E)NO (% pred.) with respect to the four indices of steroid response were likewise not significantly different. CONCLUSION: Correcting F(E)NO for combinations of age, sex, height, smoking and atopy using reference equations did not enhance the performance characteristics of F(E)NO as a predictor of either the diagnosis of asthma or steroid responsiveness in patients with chronic airways-related symptoms.

Long term performance characteristics of an electrochemical nitric oxide analyser.

BACKGROUND: The NIOX MINO(®) is a nitric oxide (FE(NO)) analyser based on electrochemical technology. It includes a replaceable sensor. Quality control procedures are recommended, but regular calibration is not possible. We aimed to evaluate the performance characteristics of the NIOX MINO(®) to identify if reproducibility changed over time, or with different sensors. Also, there are reports that reproducibility of FE(NO) may be reduced in patients with high FE(NO): our secondary aim was to address this issue. METHODS: Reproducibility in 24 separate sensor-analyser units was calculated on three occasions over two months in 17 patients. These included 9 patients whose FE(NO) was high (mean 80 ppb) and 8 in whom FE(NO) was low (mean 16 ppb). RESULTS: One device failed quality control testing. For the remaining 23 sensor-analyser combinations, the mean coefficient of variation was 4.0% (range 1.2-7.2%) at baseline, 3.6% (range 2.0-7.0) at one month, and 3.6% (range 1.6-7.6%) at two months. The 95% C.I. for the mean limits of agreement for FE(NO) was ± 4.2 ppb (range 0.9-9.6 ppb), ± 3.8 ppb (range 1.6-6.9 ppb) and ± 3.2 ppb (range 1.2-6.8 ppb) respectively (NS). The limits of agreement exceeded the manufacturer's specifications (± 5 ppb) in 0 devices at baseline, 3 (13%) at one month, and 5 (22%) at two months. CONCLUSIONS: Reproducibility of FE(NO) using the NIOX MINO(®) was within clinically acceptable limits (± 10 ppb) and was generally stable. However, with time, a proportion of individual sensor-analyser combinations yielded variability outside the manufacturer's specifications.

Simvastatin in the treatment of asthma: lack of steroid-sparing effect.

BACKGROUND: Statins have anti-inflammatory actions which in theory are potentially beneficial in asthma. Small trials have failed to show a significant benefit, but a systematic study to evaluate the steroid-sparing effect of statin treatment has not been carried out. METHODS: A randomised, placebo-controlled, crossover trial was conducted of simvastatin 40 mg at night with simultaneous stepwise reduction of fluticasone propionate dose until loss of control occurred, followed by an increase until regain of control ('minimum' dose required) in 51 patients with asthma and sputum eosinophils (steroid-free) ≥ 2%. RESULTS: 43 patients completed the study. There was no significant difference in 'minimum' inhaled corticosteroid (ICS) dose requirement between simvastatin and placebo: (median (IQR) 50 µg daily (0-250) vs 100 µg daily (0-250), p=0.931). 'Minimum' dose distribution was similar (p=0.269). The fluticasone dose at which loss of control occurred did not differ significantly between simvastatin and placebo (p=0.404). In patients with loss of control in both treatment arms, fluticasone dose at loss of control was similar with simvastatin and placebo (median (IQR) 50 µg daily (0-100) for both, p=0.620). In those patients who reached 0 µg/day (n=18), Astma Control Questionnaire (ACQ) was lower (p=0.037), forced expiratory volume in 1 s (FEV(1)) higher (p<0.01) and sputum eosinophils lower with simvastatin compared with placebo (9.5% compared with 25.4%, p=0.033). CONCLUSIONS: Simvastatin does not have clinically important steroid-sparing effects in patients with eosinophilic asthma. In the absence of steroid, simvastatin is associated with minor improvements in symptoms and lung function, and a reduction in sputum eosinophils. Clinical trial number ACTRN12606000531516.

Exercise-induced wheeze: Fraction of exhaled nitric oxide-directed management.

BACKGROUND AND OBJECTIVE: Exercise-induced wheeze (EIW) is common. Several treatment options exist. Patients with low fraction of exhaled nitric oxide (F(E)NO) are unlikely to be steroid-responsive and might benefit from non-steroidal therapies. We assessed: the efficacy of cromoglycate, formoterol and montelukast in patients with EIW and low F(E)NO (<35 ppb) in a randomized cross-over trial, and the efficacy of inhaled corticosteroid in a high F(E)NO (>35 ppb) group. METHODS: Patients had EIW and airway hyperresponsiveness (AHR) to mannitol and/or exercise. Those with low F(E)NO (n = 19) received cromoglycate (20 mg inh. bd + before challenge tests), formoterol (12 microg inh. bd + before challenge tests) and montelukast (10 mg p.o. od), each for 2 weeks. Those with high F(E)NO (n = 20) took inhaled fluticasone (500 microg) daily for 4 weeks. Primary end-points were: 50% reduction in maximum FEV(1) %fall (clinical protection) and decrease in AHR to mannitol. RESULTS: In patients with low F(E)NO, cromoglycate, formoterol and montelukast significantly decreased AHR to mannitol in 63%, 61% and 47% of patients, respectively. In this group, the magnitude of exercise-induced bronchoconstriction (EIB) was significantly reduced with montelukast and formoterol; between-treatment differences were not significant. Of 6/19 with low F(E)NO and EIB, protection occurred in 67% (cromoglycate), 83% (formoterol) and 50% (montelukast), respectively. In the high F(E)NO group, AHR to mannitol and EIB decreased significantly with fluticasone (P < 0.001, P = 0.005, respectively), and protection occurred in 7/8 (88%) with EIB. CONCLUSIONS: In patients with EIW and low F(E)NO, the number of 'responders' to cromoglycate, formoterol and montelukast was similar. In a high F(E)NO population the response to inhaled corticosteroid was highly significant and comparable to previous studies.

Effects of steroid therapy on inflammatory cell subtypes in asthma.

RATIONALE Airway inflammation in asthma is heterogeneous with different phenotypes. The inflammatory cell phenotype is modified by corticosteroids and smoking. Steroid therapy is beneficial in eosinophilic asthma (EA), but evidence is conflicting regarding non-eosinophilic asthma (NEA). OBJECTIVES To assess the inflammatory cell phenotypes in asthma after eliminating potentially confounding effects; to compare steroid response in EA versus NEA; and to investigate changes in sputum cells with inhaled corticosteroid (ICS). METHODS Subjects undertook ICS withdrawal until loss of control or 28 days. Those with airway hyper-responsiveness (AHR) took inhaled fluticasone 1000 microg daily for 28+ days. Cut-off points were > or = or <2% for sputum eosinophils and > or = or <61% for neutrophils. RESULTS After steroid withdrawal (n=94), 67% of subjects were eosinophilic, 31% paucigranulocytic and 2% mixed; there were no neutrophilic subjects. With ICS (n=88), 39% were eosinophilic, 46% paucigranulocytic, 3% mixed and 5% neutrophilic. Sputum neutrophils increased from 19.3% to 27.7% (p=0.024). The treatment response was greater in EA for symptoms (p<0.001), quality of life (p=0.012), AHR (p=0.036) and exhaled nitric oxide (p=0.007). Lesser but significant changes occurred in NEA (ie, paucigranulocytic asthma). Exhaled nitric oxide was the best predictor of steroid response in NEA for AHR (area under the curve 0.810), with an optimum cut-off point of 33 ppb. CONCLUSIONS After eliminating the effects of ICS and smoking, a neutrophilic phenotype could be identified in patients with moderate stable asthma. ICS use led to phenotype misclassification. Steroid responsiveness was greater in EA, but the absence of eosinophilia did not indicate the absence of a steroid response. In NEA this was best predicted by baseline exhaled nitric oxide.

Outcomes using exhaled nitric oxide measurements as an adjunct to primary care asthma management.

BACKGROUND: Exhaled nitric oxide (FENO) measurements may help to highlight when inhaled corticosteroid (ICS) therapy should or should not be adjusted in asthma. This is often difficult to judge. Our aim was to evaluate a decision-support algorithm incorporating FENO measurements in a nurse-led asthma clinic. METHODS: Asthma management was guided by an algorithm based on high (>45ppb), intermediate (30-45ppb), or low (<30ppb) FENO levels and asthma control status. This provided for one of eight possible treatment options, including diagnosis review and ICS dose adjustment. RESULTS: Well controlled asthma increased from 41% at visit 1 to 68% at visit 5 (p=0.001). The mean fluticasone dose decreased from 312 mcg/day at visit 2 to 211mcg/day at visit 5 (p=0.022). There was a high level of protocol deviations (25%), often related to concerns about reducing the ICS dose. The % fall in FENO associated with a change in asthma status from poor control to good control was 35%. CONCLUSION: An FENO-based algorithm provided for a reduction in ICS doses without compromising asthma control. However, the results may have been influenced by the education and support which patients received. Reluctance to reduce ICS dose was an issue which may have influenced the overall results. TRIAL REGISTRATION: Australian Clinical Trials Registry # 012605000354684.

Bromotyrosines in sputum proteins and treatment effects of terbutaline and budesonide in asthma.

BACKGROUND: Inhaled corticosteroids are widely used in the treatment of persistent asthma, usually combined with inhaled beta2-agonists. Previous research suggests that short-acting beta2-agonists (SABAs) may downregulate the anti-inflammatory effects of inhaled corticosteroids, thereby increasing asthma morbidity. OBJECTIVE: To determine whether 3-bromotyrosine and 3,5-dibromotyrosine levels, specific markers of eosinophil activation, reflect treatment effects on airway inflammation of inhaled corticosteroids and SABAs and support previous conclusions. METHODS: Levels of 3-bromotyrosine and 3,5-dibromotyrosine were measured in sputum supernatants using stable isotope dilution gas chromatography-mass spectrometry in a randomized, placebo-controlled, crossover study of treatment with terbutaline, budesonide, and their combination in patients with persistent asthma. Thirty-four individuals were randomized, and 28 completed the study. RESULTS: Treatment with budesonide lowered median 3-bromotyrosine levels compared with treatment with placebo, terbutaline, and budesonide-terbutaline (0.24 vs 0.64, 0.62, and 0.43 3-bromotyosine/tyrosine [mmol/mol]; P < .05) and lowered median 3,5-dibromotyrosine levels compared with placebo and terbutaline treatments (0.04 vs 0.11 and 0.07 3,5-dibromotyrosine/ tyrosine [mmol/mol], P < .05). Unlike eosinophil numbers, 3-bromotyrosine and 3,5-dibromotyrosine levels did not increase with terbutaline treatment compared with placebo treatment but were significantly raised when terbutaline was added to budesonide treatment. 3-Bromotyrosine levels correlated significantly with eosinophil cationic protein levels in all groups. CONCLUSIONS: 3-Bromotyrosine and 3,5-dibromotyrosine levels reflect treatment effects in asthma and support previous findings that SABAs impair the anti-inflammatory effects of inhaled corticosteroids. In addition to eosinophil numbers and eosinophil cationic protein levels, these modified tyrosine residues provide useful information about the inflammatory state of the airways.

Exhaled nitric oxide levels in asthma: Personal best versus reference values.

BACKGROUND: Factors affecting the fraction of nitric oxide in exhaled air (FE(NO)) are multiple. Interpreting values when assessing airways disease may be problematic. Clinically optimum levels have not been defined. OBJECTIVES: We aimed to establish the relationship between predicted values for FE(NO) obtained from equations by Olin et al, Travers et al, and Dressel et al, and normalized levels after oral prednisone. We also compared postprednisone FE(NO) levels with those obtained during optimized treatment with inhaled fluticasone. METHODS: Data were obtained before and after a trial of oral prednisone (30mg/d for 14 days), and also from a previously published study in which patients had their dose of inhaled corticosteroid adjusted using either FE(NO) or symptoms/lung function to optimize treatment. RESULTS: Seventy-three patients completed the study. The geometric mean FE(NO) after prednisone (17.7 parts per billion [ppb]; 95% CI, 15.5-20.2) was significantly lower than mean FE(NO) at the optimized fluticasone dose (20.2 ppb; 95% CI, 17.1-23.8; P=.04) and at loss of control (27.6 ppb; 95% CI, 22.8-33.4; P < .001). FE(NO) levels after prednisone did not differ significantly from the predicted values of Olin et al (16.8 ppb, 95% CI, 16.0-17.5; P=.44), but were significantly lower than values of Travers et al (predicted, 21.5 ppb; 95% CI, 20.9-22.2; P=.005) and Dressel et al (predicted, 27.8 ppb; 95% CI, 26.7-28.9; P < .001). CONCLUSIONS: Optimum FE(NO) levels are best established by using oral rather than inhaled steroid treatment, and these approximate to predicted values from the reference equation by Olin et al. However, at optimized doses of inhaled corticosteroid, although FE(NO) levels were higher than predicted, asthma was well controlled. Targeting FE(NO) on reference values is not justified.

Predicting corticosteroid response in chronic obstructive pulmonary disease using exhaled nitric oxide.

RATIONALE: Predicting corticosteroid response in COPD is important but difficult. Response is more likely to occur in association with eosinophilic airway inflammation, for which the fraction of exhaled nitric oxide (Fe(NO)) is a good surrogate marker. OBJECTIVES: We aimed to establish whether Fe(NO) levels would predict the clinical response to oral corticosteroid in COPD. METHODS: We performed a double-blind, crossover trial of steroid in patients with COPD. After a 4-week washout of inhaled steroids, patients received prednisone 30 mg/d or matching placebo, in random order, with an intervening 4-week washout. The predictive values of Fe(NO) for clinically significant changes in 6-minute-walk distance (6MWD), spirometry (FEV(1)), and St. George's Respiratory Questionnaire (SGRQ) were calculated. MEASUREMENTS AND MAIN RESULTS: A total of 65 patients (mean FEV(1) = 57% predicted) were randomized. With prednisone, there was a net increase of 13 m in 6MWD (P = 0.02) and 0.06 L in postbronchodilator FEV(1) (P = 0.02) compared with placebo. The change in SGRQ was not significant. Using receiver operator characteristic analysis, the area under the curve for an increase of 0.2 L in FEV(1) was 0.69 (P = 0.04) with an optimum Fe(NO) cut-point of 50 ppb. The positive and negative predictive values were 67 and 82%, respectively. FE(NO) was not a significant predictor for changes in 6MWD or SGRQ. CONCLUSIONS: Fe(NO) is a weak predictor of short-term response to oral corticosteroid in COPD, its usefulness being limited to predicting increase in FEV(1). Clinical trial registered with www.anzctr.org.au (ACTRN12605000683639).

The association between obesity and asthma: interactions between systemic and airway inflammation.

RATIONALE: Both obesity and asthma are common conditions, and both are characterized by the presence of inflammation. Animal studies suggest that the development of airway hyperresponsiveness with antigen challenge is exaggerated with obesity. However, clear evidence for either an additive or a synergistic pathologic interaction between obesity and asthma is lacking in humans. OBJECTIVES: To identify whether an interaction between systemic and local inflammation occurs in obese subjects with asthma in a controlled observational study. METHODS: We studied 79 women: obese patients with asthma (n = 20), normal-weight patients with asthma (n = 19), obese patients without asthma (n = 20), and normal-weight patients without asthma (n = 20). After corticosteroid withdrawal, between-group differences in spirometric values, lung volumes, exhaled nitric oxide, induced sputum cell counts, and biomarkers of inflammation in sputum supernatant and blood were measured, and interactions explored. MEASUREMENTS AND MAIN RESULTS: Markers of systemic inflammation were increased with obesity, and Th2 cytokines were increased with asthma, but no important interactions were identified. Obesity adversely affected lung function with increases in functional residual capacity and residual volume in obese but not normal-weight patients with asthma, with a significant obesity by asthma interaction. CONCLUSIONS: The link between obesity and asthma is unlikely to be explained by enhancement of the "classical" forms of airway inflammation resulting from the systemic inflammatory effects of obesity itself. Other mechanisms, possibly related to innate immunity, may explain the relationship between obesity and asthma.

Supporting the diagnosis of non-specific respiratory symptoms in primary care: the role of exhaled nitric oxide measurement and spirometry.

AIMS: To assess whether exhaled nitric oxide (FENO) measurements improve management and clinician confidence in patients presenting with non-specific respiratory symptoms. METHODS: This observational study was based in a large primary care practice (15,500 patients, 14 GPs). Patients had non-specific respiratory symptoms for at least six weeks. FENO and spirometry measurements were performed at initial assessment. An algorithm was employed to assist interpretation of FENO and spirometry results. GPs evaluated the diagnostic contribution of FENO and spirometry at 3- month follow-up. RESULTS: In 48/51 (94%) of cases FENO was considered significant in formulating a diagnosis. Spirometry was deemed helpful in 27/51 (54%). CONCLUSION: FENO measurements improved diagnostic confidence when assessing non-specific respiratory symptoms. This may be because, in contrast to spirometry, both low and high FENO values have clinical significance. TRIAL REGISTRATION: Australian Clinical Trials Registry ACTRN012605000354684.

Serial exhaled nitric oxide measurements in the assessment of laboratory animal allergy.

BACKGROUND: Laboratory animal allergy (LAA) may cause eosinophilic airway inflammation, for which exhaled nitric oxide (FE(NO)) measurements are sensitive and specific. Our objective was to assess whether serial FE(NO) measurements might detect exposure-related inflammation in laboratory animal workers. METHODS. Fifty laboratory animal workers participated. Measurements of FE(NO) and spirometry were obtained at baseline (Friday) and twice-daily following a weekend with no animal contact. RESULTS: Eleven of 50 subjects had work-related symptoms, and 2 of 11 had positive serology for LAA. Baseline FE(NO) was high (> 150 ppb) in the two seropositive subjects and increased progressively during the working week in one subject, confirming exposure-driven airway inflammation. In seronegative subjects, mean FE(NO) levels were 19.8 (standard deviation [SD], 20.1) and 21.7 (SD, 20.8) in the symptomatic and nonsymptomatic groups, respectively, with no significant changes in FE(NO) over time. CONCLUSION: Serial FE(NO) measurements may provide complementary information in the assessment of possible occupational sensitisation. The sensitivity and specificity of this approach to diagnosing occupational asthma requires further evaluation.

Dynamic hyperinflation with bronchoconstriction: differences between obese and nonobese women with asthma.

RATIONALE: Symptoms and respiratory function tests may be difficult to assess and interpret in obese patients with asthma, particularly if the asthma is severe. It is unclear whether the dynamic changes that occur during bronchoconstriction differ between obese versus nonobese patients with asthma. OBJECTIVES: To explore whether the changes in airway caliber and lung volumes that occur with acute bronchoconstriction are different in obese and nonobese patients with asthma and whether any differences contribute to the quality and intensity of symptoms. METHODS: Thirty female patients with asthma were studied. Spirometry, lung volume measurements, and dyspnea scores were obtained before and immediately after bronchoconstriction induced by methacholine, aiming to provoke a reduction in FEV1 of 30%. MEASUREMENTS AND MAIN RESULTS: Body mass index was independently associated with changes in lung volume after adjustment for baseline airway caliber and hyperresponsiveness. Increases in functional residual capacity and decreases in inspiratory capacity were significantly greater in obese participants (P < 0.001 and P = 0.003, respectively). CONCLUSIONS: Changes in respiratory function, notably dynamic hyperinflation, are greater in obese individuals with bronchoconstriction. This may potentially alter the perception and assessment of asthma severity in obese patients with asthma.

Factors affecting exhaled nitric oxide measurements: the effect of sex.

BACKGROUND: Exhaled nitric oxide (F(E)NO) measurements are used as a surrogate marker for eosinophilic airway inflammation. However, many constitutional and environmental factors affect F(E)NO, making it difficult to devise reference values. Our aim was to evaluate the relative importance of factors affecting F(E)NO in a well characterised adult population. METHODS: Data were obtained from 895 members of the Dunedin Multidisciplinary Health and Development Study at age 32. The effects of sex, height, weight, lung function indices, smoking, atopy, asthma and rhinitis on F(E)NO were explored by unadjusted and adjusted linear regression analyses. RESULTS: The effect of sex on F(E)NO was both statistically and clinically significant, with F(E)NO levels approximately 25% less in females. Overall, current smoking reduced F(E)NO up to 50%, but this effect occurred predominantly in those who smoked on the day of the F(E)NO measurement. Atopy increased F(E)NO by 60%. The sex-related differences in F(E)NO remained significant (p < 0.001) after controlling for all other significant factors affecting F(E)NO. CONCLUSION: Even after adjustment, F(E)NO values are significantly different in males and females. The derivation of reference values and the interpretation of FENO in the clinical setting should be stratified by sex. Other common factors such as current smoking and atopy also require to be taken into account.

Association between exhaled nitric oxide and systemic inflammatory markers.

BACKGROUND: Asthma is an inflammatory condition of the airways, and there is some evidence to suggest that it is associated with a systemic inflammatory response, as measured by C-reactive protein (CRP) and fibrinogen. Exhaled nitric oxide is a noninvasive measure of asthmatic airway inflammation. OBJECTIVE: To determine if there is an association between exhaled nitric oxide and these systemic inflammatory markers. METHODS: The Dunedin Multidisciplinary Health and Development Study is a birth cohort of approximately 1,000 individuals born between April 1, 1972, and March 31, 1973. At the age of 32 years, study members were assessed for diagnosis of asthma, atopy by skin prick testing, smoking, body mass index, exhaled nitric oxide, high-sensitivity serum CRP, and plasma fibrinogen level. RESULTS: There was no significant association between exhaled nitric oxide and CRP (P = .99). There was a trend to an inverse association between exhaled nitric oxide and fibrinogen (P = .049), but this was not significant after adjusting for smoking and use of corticosteroids or after further adjustment for body mass index and atopy (P = .71). CONCLUSION: In this population-based sample of young adults, there was no association between airway inflammation, as measured by exhaled nitric oxide, and systemic inflammation, as measured by either CRP or fibrinogen.