Increasing evidence suggests that the lung microbiome plays an important role in chronic obstructive pulmonary disease (COPD) severity. However, the dynamics of the lung microbiome during COPD ...exacerbations and its potential role in disease aetiology remain poorly understood.We completed a longitudinal 16S ribosomal RNA survey of the lung microbiome on 476 sputum samples collected from 87 subjects with COPD at four visits defined as stable state, exacerbation, 2 weeks post-therapy and 6 weeks recovery.Our analysis revealed a dynamic lung microbiota where changes appeared to be associated with exacerbation events and indicative of specific exacerbation phenotypes. Antibiotic and steroid treatments appear to have differential effects on the lung microbiome. We depict a microbial interaction network for the lung microbiome and suggest that perturbation of a few bacterial operational taxonomic units, in particular Haemophilus spp., could greatly impact the overall microbial community structure. Furthermore, several serum and sputum biomarkers, in particular sputum interleukin-8, appear to be highly correlated with the structure and diversity of the microbiome.Our study furthers the understanding of lung microbiome dynamics in COPD patients and highlights its potential as a biomarker, and possibly a target, for future respiratory therapeutics.
Because chronic obstructive pulmonary disease (COPD) is a heterogeneous condition, the identification of specific clinical phenotypes is key to developing more effective therapies. To explore if the ...persistence of systemic inflammation is associated with poor clinical outcomes in COPD we assessed patients recruited to the well-characterized ECLIPSE cohort (NCT00292552).
Six inflammatory biomarkers in peripheral blood (white blood cells (WBC) count and CRP, IL-6, IL-8, fibrinogen and TNF-α levels) were quantified in 1,755 COPD patients, 297 smokers with normal spirometry and 202 non-smoker controls that were followed-up for three years. We found that, at baseline, 30% of COPD patients did not show evidence of systemic inflammation whereas 16% had persistent systemic inflammation. Even though pulmonary abnormalities were similar in these two groups, persistently inflamed patients during follow-up had significantly increased all-cause mortality (13% vs. 2%, p<0.001) and exacerbation frequency (1.5 (1.5) vs. 0.9 (1.1) per year, p<0.001) compared to non-inflamed ones. As a descriptive study our results show associations but do not prove causality. Besides this, the inflammatory response is complex and we studied only a limited panel of biomarkers, albeit they are those investigated by the majority of previous studies and are often and easily measured in clinical practice.
Overall, these results identify a novel systemic inflammatory COPD phenotype that may be the target of specific research and treatment.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Alterations in the composition of the lung microbiome associated with adverse clinical outcomes, known as dysbiosis, have been implicated with disease severity and exacerbations in COPD.
To ...characterise longitudinal changes in the lung microbiome in the AERIS study (Acute Exacerbation and Respiratory InfectionS in COPD) and their relationship with associated COPD outcomes.
We surveyed 584 sputum samples from 101 patients with COPD to analyse the lung microbiome at both stable and exacerbation time points over 1 year using high-throughput sequencing of the 16S ribosomal RNA gene. We incorporated additional lung microbiology, blood markers and in-depth clinical assessments to classify COPD phenotypes.
The stability of the lung microbiome over time was more likely to be decreased in exacerbations and within individuals with higher exacerbation frequencies. Analysis of exacerbation phenotypes using a Markov chain model revealed that bacterial and eosinophilic exacerbations were more likely to be repeated in subsequent exacerbations within a subject, whereas viral exacerbations were not more likely to be repeated. We also confirmed the association of bacterial genera, including
and
, with disease severity, exacerbation events and bronchiectasis.
Subtypes of COPD have distinct bacterial compositions and stabilities over time. Some exacerbation subtypes have non-random probabilities of repeating those subtypes in the future. This study provides insights pertaining to the identification of bacterial targets in the lung and biomarkers to classify COPD subtypes and to determine appropriate treatments for the patient.
Results, NCT01360398.
Ten percent of North American patients with non-small-cell lung cancer have tumors with somatic mutations in the gene for the epidermal growth factor receptor (EGFR). Approximately 70% of patients ...whose lung cancers harbor somatic mutations in exons encoding the tyrosine kinase domain of EGFR experience significant tumor regressions when treated with the EGFR tyrosine kinase inhibitors (TKIs) gefitinib or erlotinib. However, the overwhelming majority of these patients inevitably acquire resistance to either drug. Currently, the clinical definition of such secondary or acquired resistance is not clear. We propose the following criteria be used to define more precisely acquired resistance to EGFR TKIs. All patients should have the following criteria: previous treatment with a single-agent EGFR TKI (eg, gefitinib or erlotinib); either or both of the following: a tumor that harbors an EGFR mutation known to be associated with drug sensitivity or objective clinical benefit from treatment with an EGFR TKI; systemic progression of disease (Response Evaluation Criteria in Solid Tumors RECIST or WHO) while on continuous treatment with gefitinib or erlotinib within the last 30 days; and no intervening systemic therapy between cessation of gefitinib or erlotinib and initiation of new therapy. The relatively simple definition proposed here will lead to a more uniform approach to investigating the problem of acquired resistance to EGFR TKIs in this unique patient population. These guidelines should minimize reporting of false-positive and false-negative activity in these clinical trials and would facilitate the identification of agents that truly overcome acquired resistance to gefitinib and erlotinib.
Lung adenocarcinoma, the most common subtype of non-small cell lung cancer, is responsible for more than 500,000 deaths per year worldwide. Here, we report exome and genome sequences of 183 lung ...adenocarcinoma tumor/normal DNA pairs. These analyses revealed a mean exonic somatic mutation rate of 12.0 events/megabase and identified the majority of genes previously reported as significantly mutated in lung adenocarcinoma. In addition, we identified statistically recurrent somatic mutations in the splicing factor gene U2AF1 and truncating mutations affecting RBM10 and ARID1A. Analysis of nucleotide context-specific mutation signatures grouped the sample set into distinct clusters that correlated with smoking history and alterations of reported lung adenocarcinoma genes. Whole-genome sequence analysis revealed frequent structural rearrangements, including in-frame exonic alterations within EGFR and SIK2 kinases. The candidate genes identified in this study are attractive targets for biological characterization and therapeutic targeting of lung adenocarcinoma.
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► Exome and genome characterization of somatic alterations in 183 lung adenocarcinomas ► U2AF1, RBM10, and ARID1A are among newly identified recurrently mutated genes ► Structural variants include activating in-frame fusion of EGFR ► Epigenetic and RNA deregulation proposed as a potential lung adenocarcinoma hallmark
Whole-exome and whole-genome sequencing of 183 lung adenocarcinoma tumor/normal DNA pairs reveals new candidate genes as attractive targets for biological characterization and therapeutic targeting of lung cancer.
Summary Comorbidities, are common in COPD, have been associated with poor outcomes and are thought to relate to systemic inflammation. To investigate comorbidities in relation to systemic ...inflammation and outcomes we recorded comorbidities in a well characterized cohort (ECLIPSE study) for 2164 clinically stable COPD subjects, 337 smokers and 245 non-smokers with normal lung function. COPD patients had a higher prevalence of osteoporosis, anxiety/panic attacks, heart trouble, heart attack, and heart failure, than smokers or nonsmokers. Heart failure (Hazard Ratio HR 1.9, 95% Confidence Interval CI 1.3–2.9), ischemic heart disease (HR 1.5, 95% CI 1.1–2.0), heart disease (HR 1.5, 95% CI 1.2–2.0), and diabetes (HR 1.7, 95% CI 1.2–2.4) had increased odds of mortality when coexistent with COPD. Multiple comorbidities had accumulative effect on mortality. COPD and cardiovascular disease was associated with poorer quality of life, higher MRC dyspnea scores, reduced 6MWD, higher BODE index scores. Osteoporosis, hypertension and diabetes were associated with higher MRC dyspnea scores and reduced 6MWD. Higher blood concentrations of fibrinogen, IL-6 and IL-8 levels occurred in those with heart disease. Comorbidity is associated with poor clinical outcomes in COPD. The comorbidities of heart disease, hypertension and diabetes are associated with increased systemic inflammation.
In patients with chronic obstructive pulmonary disease (COPD), lung function decreases rapidly. Analysis of data from a large observational study of COPD showed that the rate of such loss is highly ...variable, and current smoking was associated with a rapid loss.
Since the seminal studY by Fletcher et al. in the 1970s,
1
,
2
it has been widely accepted that chronic obstructive pulmonary disease (COPD) is characterized by an accelerated decline in forced expiratory volume in 1 second (FEV
1
). However, surprisingly few longitudinal studies of patient cohorts have provided detailed data regarding the rate of decline in FEV
1
,
3
–
8
and none of these studies have related changes in FEV
1
to specific subgroups of patients with COPD or to levels of systemic biomarkers. We used data from a large, observational, 3-year study that included detailed assessments of patients . . .
Chronic obstructive pulmonary disease (COPD) is a complex condition with pulmonary and extra-pulmonary manifestations. This study describes the heterogeneity of COPD in a large and well characterised ...and controlled COPD cohort (ECLIPSE).
We studied 2164 clinically stable COPD patients, 337 smokers with normal lung function and 245 never smokers. In these individuals, we measured clinical parameters, nutritional status, spirometry, exercise tolerance, and amount of emphysema by computed tomography.
COPD patients were slightly older than controls and had more pack years of smoking than smokers with normal lung function. Co-morbidities were more prevalent in COPD patients than in controls, and occurred to the same extent irrespective of the GOLD stage. The severity of airflow limitation in COPD patients was poorly related to the degree of breathlessness, health status, presence of co-morbidity, exercise capacity and number of exacerbations reported in the year before the study. The distribution of these variables within each GOLD stage was wide. Even in subjects with severe airflow obstruction, a substantial proportion did not report symptoms, exacerbations or exercise limitation. The amount of emphysema increased with GOLD severity. The prevalence of bronchiectasis was low (4%) but also increased with GOLD stage. Some gender differences were also identified.
The clinical manifestations of COPD are highly variable and the degree of airflow limitation does not capture the heterogeneity of the disease.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease characterized by multiple subtypes and variable disease progression. Blood biomarkers have been variably associated with ...subtype, severity, and disease progression. Just as combined clinical variables are more highly predictive of outcomes than individual clinical variables, we hypothesized that multiple biomarkers may be more informative than individual biomarkers to predict subtypes, disease severity, disease progression, and mortality.
Fibrinogen, C-Reactive Protein (CRP), surfactant protein D (SP-D), soluble Receptor for Advanced Glycation Endproducts (sRAGE), and Club Cell Secretory Protein (CC16) were measured in the plasma of 1465 subjects from the COPDGene cohort and 2746 subjects from the ECLIPSE cohort. Regression analysis was performed to determine whether these biomarkers, individually or in combination, were predictive of subtypes, disease severity, disease progression, or mortality, after adjustment for clinical covariates.
In COPDGene, the best combinations of biomarkers were: CC16, sRAGE, fibrinogen, CRP, and SP-D for airflow limitation (p < 10
), SP-D, CRP, sRAGE and fibrinogen for emphysema (p < 10
), CC16, fibrinogen, and sRAGE for decline in FEV
(p < 0.05) and progression of emphysema (p < 10
), and all five biomarkers together for mortality (p < 0.05). All associations except mortality were validated in ECLIPSE. The combination of SP-D, CRP, and fibrinogen was the best model for mortality in ECLIPSE (p < 0.05), and this combination was also significant in COPDGene.
This comprehensive analysis of two large cohorts revealed that combinations of biomarkers improve predictive value compared with clinical variables and individual biomarkers for relevant cross-sectional and longitudinal COPD outcomes.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Understanding the role of the airway microbiome in chronic obstructive pulmonary disease (COPD) inflammatory endotypes may help to develop microbiome-based diagnostic and therapeutic approaches.
To ...understand the association of the airway microbiome with neutrophilic and eosinophilic COPD at stability and during exacerbations.
An integrative analysis was performed on 1,706 sputum samples collected longitudinally from 510 patients with COPD recruited at four UK sites of the BEAT-COPD (Biomarkers to Target Antibiotic and Systemic COPD), COPDMAP (Chronic Obstructive Pulmonary Disease Medical Research Council/Association of the British Pharmaceutical Industry), and AERIS (Acute Exacerbation and Respiratory Infections in COPD) cohorts. The microbiome was analyzed using COPDMAP and AERIS as a discovery data set and BEAT-COPD as a validation data set.
The airway microbiome in neutrophilic COPD was heterogeneous, with two primary community types differentiated by the predominance of
. The
-predominant subgroup had elevated sputum IL-1β and TNFα (tumor necrosis factor α) and was relatively stable over time. The other neutrophilic subgroup with a balanced microbiome profile had elevated sputum and serum IL-17A and was temporally dynamic. Patients in this state at stability were susceptible to the greatest microbiome shifts during exacerbations. This subgroup can temporally switch to both neutrophilic
and eosinophilic states that were otherwise mutually exclusive. Time-series analysis on the microbiome showed that the temporal trajectories of
and
were indicative of intrapatient switches from neutrophilic to eosinophilic inflammation, in track with patient sputum eosinophilia over time. Network analysis revealed distinct host-microbiome interaction patterns among neutrophilic
-predominant, neutrophilic balanced microbiome, and eosinophilic subgroups.
The airway microbiome can stratify neutrophilic COPD into subgroups that justify different therapies. Neutrophilic and eosinophilic COPD are interchangeable in some patients. Monitoring temporal variability of the airway microbiome may track patient inflammatory status over time.
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