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<i>Respirology</i> year‐in‐review 2008: Basic science

2009· review· en· W2064535410 on OpenAlexaff
Martin Kolb, Ian A. Yang

Bibliographic record

VenueRespirology · 2009
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCOPDMedicineCigarette smokeTobacco smokeParticulatesCigarette smokingRespiratory systemLungSmokeEnvironmental healthPathologyPhysiologyImmunologyInternal medicineWaste managementEcologyBiology

Abstract

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In this review, we present important findings in basic sciences from articles published in Respirology in 2008. Our aim is to provide a summary and interpretation of new data published in the journal in the basic translational sciences, which will lead to a better understanding of lung diseases, and lead to improved diagnosis, prevention and treatment. COPD is a chronic inflammatory disease of the lungs leading to airflow limitation, gas trapping, breathlessness, respiratory failure, exacerbations and death. Cigarette smoke exposure is the predominant cause of COPD, although there is variable susceptibility to the development of COPD, indicating the effects of gene–environment interaction. While direct cigarette smoke exposure is the predominant causative factor leading to COPD, environmental tobacco smoke exposure may also be important in the development of airway inflammation. The smoking of even a single cigarette releases particulate matter into the adjacent environment. In a granulometry study (the study of the size distribution of ‘grains’ or particles), an enclosed office space was used as the laboratory.1 In each experiment, a single cigarette was smoked, and the resulting suspended particle, dust and microbial load was measured within the room for 3 h afterwards. The concentration of suspended large and medium-sized particles reached a peak soon after smoking, whereas the concentration of small particles (< 0.7 µmol/L) remained elevated after the cigarette was smoked. Bacteria were detected and cultured in the basal conditions prior to the cigarette being smoked. The load of microorganisms sedimented by gravity increased in the first hour after the smoking of the cigarette, followed by a decrease in load. The authors suggested that cigarette smoke may aggregate with bacteria, and (although not specifically tested) that these sedimented aggregates may later be resuspended and inhaled as people move around a room after passive smoking, potentially leading to respiratory infections.1 Genetic risk factors are likely to interact with exposure to cigarette smoke and other environmental irritants, to play a role in the aetiology of COPD. Many studies have examined gene–environment interaction in COPD. The only confirmed genetic risk factor is homozygous ZZ α1-antitrypsin deficiency, although this contributes only a small fraction of COPD and emphysema. Numerous other candidate genes have been postulated;2 however, none has been definitively confirmed in genetic association studies, possibly due to small genetic effects, heterogeneity in study design and phenotyping of COPD, different populations and small sample sizes.3 Genome-wide association studies in COPD are awaited with interest, and will potentially confirm known candidates as well as identifying novel candidate genes. One of the main mechanisms implicated in emphysema is protease–antiprotease imbalance. Cathepsins are cysteine proteases, and cathepsin S is expressed by antigen-presenting cells. The cathepsin S gene (CTSS) was examined in a genetic association study of 204 smokers with COPD and 104 healthy non-smokers.4 Screening of the promoter region of the gene identified a number of polymorphisms, including single nucleotide polymorphisms, variable number of tandem repeats and an insertion/deletion polymorphism. The two main haplotypes (combinations of alleles) differed in promoter function, as determined by luciferase assay in a macrophage-like cell line stimulated by the inflammatory cytokine, interferon-γ. Finally, one of the haplotypes was more frequent in smokers with various severities of airflow limitation, compared with never smokers.4 The precise role of these polymorphisms in the cathepsin S gene in COPD pathogenesis remains to be worked out, particularly the alterations in protease function and immune modulation. Microsomal epoxide hydrolase (mEH) is an enzyme that potentially reduces oxidative stress by detoxifying epoxide compounds such as those found in cigarette smoke. Genotypes at two genetic loci within the mEH gene (EPHX1) appear to influence mEH activity. Of the coding region polymorphisms, the histidine (His) to arginine (Arg) polymorphism at residue 139 exists in exon 4 of EPHX1 (the Arg139 allele has fast enzyme activity), and the tyrosine (Tyr) to histidine (His) polymorphism at residue 113 occurs in exon 3 (the His113 allele has slow enzyme activity). The haplotypes with slow activity (i.e. reduced detoxification) have been associated with increased risk and severity of COPD, but not consistently in all studies. An updated meta-analysis of 16 studies of EPHX1 polymorphisms in COPD pooled results across studies totalling 1847 COPD subjects and 2455 controls.5 The His/His113 genotype was associated with increased risk of COPD (odds ratio 1.59, 95% confidence interval 1.14–2.21), compared with the Tyr/Tyr113 genotype; this association was stronger in Asian populations. Other genotypes altering enzyme activity were also associated with increased or decreased risk of developing COPD. The results of this meta-analysis suggest that polymorphisms in xenobiotic metabolism pathways may contribute to susceptibility to COPD, adding to the support for specific candidate genes such as EPHX1 in COPD. Once COPD has developed, further genetic factors may play a role in the progression of COPD and its phenotypes. The angiotensin-converting enzyme (ACE) gene has functions in the lung related to inflammation and respiratory drive, and has been hypothesized to regulate skeletal muscle function. In a study of 61 COPD patients and 57 controls, ventilator response to exercise was not altered by ACE genotype, whereas the ACE insertion/insertion genotype was associated with maximal work load and aerobic work efficiency.6 The mechanism for this association is not clear, although the authors speculated that changes in muscle fibre type could be an underlying mechanisms resulting from different ACE genotypes. Biomarkers of severity of COPD would be useful for monitoring patients, prognostication and developing therapeutic targets. Induced sputum is a potentially useful, non-invasive tool for studying biomarkers in COPD. In a study of 43 COPD patients, 12 smoking controls and 10 non-smokers, the levels of prostaglandin E2 (PGE2) and matrix metalloproteinase-2 (MMP-2) in induced sputum were higher in COPD patients, and inversely correlated with FEV1 % predicted.7 The cyclo-oxygenase pathway, from which PGE2 is a product, activates MMP-2, lending weight to the notion that these markers are implicated in COPD pathogenesis, through their involvement in inflammation and airway remodelling. Acute exacerbations of COPD contribute substantially to the cost and personal burden of COPD, and are associated with mortality and accelerated lung function decline. Viral and bacterial infections are the predominant cause of exacerbations. Colonization by bacteria, and possibly viruses, may lead to chronic mucus hypersecretion and frequent exacerbations. Innate and acquired immunity are both important in the host defence system of the lungs against microbial infection. There are concerns about impaired host defence with cigarette smoke exposure and COPD, particularly reduced mucociliary clearance. In a mouse model, mice were exposed to cigarettes for 6 months, and the mRNA gene expression of antimicrobial molecules in the lungs was compared with mice without cigarette smoke exposure.8 Cigarette smoke upregulated levels of surfactant protein-A, β-defensins 2 and 3, and secretory leucocyte protease inhibitor, whereas there was no change in lysozyme expression, and a decrease in β-defensin-1 expression. From these data, it can be concluded that, similar to the human airway transcriptome,9 antimicrobial and host defence molecules are in fact activated (rather than impaired) in the airways of mouse models of smoking and COPD. Therefore, other pathways in the immune response should be examined for defects that underpin impaired host defence and frequent exacerbations. Expression of other pattern recognition receptors, such as Toll-like receptors (TLR), has been shown to be altered in COPD. In an elastase-induced mouse model of emphysema, exposure to the bacteria Streptococcus pneumoniae induced expression of TLR2 and TLR4 in alveolar macrophages.10 Subsequently, the numbers of neutrophils increased in the BAL, as did the levels of inflammatory cytokines (tumour necrosis factor (TNF)-α, IL-1-β and IL-6). The reasons for the enhanced immune and inflammatory response in this model should be investigated to further understand differences in the response to bacterial infection in disease models, given that some previous studies have found impaired responses, depending on the model used. The relationship between the presence of bronchodilator reversibility and airway inflammation in COPD is unclear. Traditionally, COPD is characterized as being non-reversible or at least chronic airflow limitation that does not fully reverse with bronchodilator. Sputum eosinophilia is observed in some COPD patients, including in exacerbations, although the underlying mechanisms leading to this are not certain. Thirty-six subjects with mild or moderate COPD were investigated in a randomized controlled trial of inhaled fluticasone of 6 months' duration.11 Airway inflammatory markers, including eosinophilia at baseline did not correlate with the degree of bronchodilator reversibility. Inhaled fluticasone reduced counts of neutrophils and epithelial cells in BAL, whereas airway wall neutrophil counts increased with the inhaled steroid. Bronchodilator reversibility and airway inflammatory markers at baseline did not predict the changes in airway inflammation with fluticasone. Further work is required to predict future treatment response to inhaled steroids and long-acting bronchodilators.12 Pharmacogenomics has emerged as a discipline studying the effects of variation in the human genome on treatment responses, particularly pharmacological therapy. The use of such information may lead to individualized treatment (e.g. choice of bronchodilators) based on the patient's ‘personal genome’. It is recognized that cross-talk may occur between muscarinic acetylcholine receptors (which mediate the bronchodilatation of anticholinergic agents) and β2-adrenergic receptors (which mediate the bronchodilatation of β-agonists). In an 8-week study of 44 COPD patients receiving the long-acting anticholinergic bronchodilator, tiotropium, subjects with the Arg/Arg genotype at amino acid 16 of the β2-adrenergic receptor gene had greater FEV1 and quality of life improvements, compared with the other genotypes carrying the glycine (Gly) allele.13 Whether this effect is due to the desensitization of the Gly form of the β2-adrenergic receptor, and therefore reduced functional capacity for bronchodilatation, is yet to be explored. Given the differential expression of mediators in the airways and lungs in asthma, monitoring of biomarkers of airway inflammation,14 a key feature of asthma, is important. Exhaled breath condensate (EBC) can be collected from cooled exhaled air, in order to measure molecules released into the airways in and other lung In a study of non-smokers, smokers and levels of and were increased in of The is to the useful of biomarkers in that to the specific severities of asthma, and with more monitoring of may also be a useful in asthma, measured in was measured in of severities and levels of were associated with more it is not is a of inflammation in asthma, being an or a of the inflammatory for as in the inflammation of Inhaled steroids are as in asthma, although further understanding is of the effects on of airway inflammation and the resulting airway wall remodelling. cells are with function that may inflammation. is a of activated cells. The effect of inhaled steroids on these cells was in a controlled trial of mild given inhaled increased the number of cells in While and sputum eosinophilia also improved with these did not correlate with the in cells. findings that cells by treatment with inhaled It is to to between cell numbers and other phenotypes. The effects of in exacerbations further While of steroids on gene expression to there is recognition of the effects of In an model, the effect of steroids on oxidative stress was of oxidative stress increased inhaled given reduced the degree of within as measured by capacity in and lung activity. novel findings the for more into the effects of steroids in asthma, which will provide into the mechanism and of of direct to treatment of exacerbations of of is being as an treatment for have of of the in moderate to further the mechanisms a mouse model has been used to measure airway effect of with reduced the number of neutrophils and in the and the and also reduced the of and mouse model is likely to be useful for further effects of including other pathways altered by and markers of response that would with treatment. of gene expression is an to understanding the development and severity of are including gene expression and of gene expression. The has been used to measure mRNA that are expressed between and in a of gene expression of lung was in to and with of genes in immune cell receptors and matrix study that in an model of asthma, there to be a specific of the airway response of The cross-talk between and the underlying airway can lead to of and the development of airway in the of and chronic acid a may be a factor in the of airway of to human epithelial induced expression of factor or also known as further to results of acid may lead to airway and and suggest therapeutic to the hypersecretion occurs in patients with and COPD, particularly in exacerbations but also is of of the and is by both cells of the and also by the as factors mucus including cigarette smoke exposure in COPD and inflammation in The cytokine, has been shown to in the model of epithelial an was used to further mechanisms in mucus induced in the epithelial cell model, there was of the factor of leading to expression of one of the the is implicated in particularly in the presence of inflammation. have both and also were in in and in models of respiratory In a model, was and were of and upregulated the of as well as inflammatory cytokines and increased the expression of the in airway epithelial cells. a reduced the degree of of cytokines and induced by whereas and did not have these results provide information about a mechanism of through which may to the inflammatory effects of exposure to In an in model, human epithelial cells were exposed to and the mRNA and expression of was of cells with for 3 h reduced the expression of through the but only in the presence of the of the of as against some of the airway effects of or possibly treatment soon after the of The as a in the and is at the first line of defence against The changes in gene expression exposure to such as viruses, are being In an in epithelial cells were with and the mRNA expression was with exposed cells had greater expression of and in to a of other of and some of these indicating a role for these pathways in epithelial inflammation. expression is therefore a useful tool for the response of airway cells to of the pathways will be useful in understanding pathogenesis of airway inflammation in response to infection. an airway is related to is a that and to weight In a study of patients with patients and controls, levels were elevated in patients compared with treatment reduced the levels of the form of in a mechanism for the weight in some patients Acute lung is an important the and was the of a large number of basic published in Respirology in the 2008. The and of for and are well known and matter of The of inflammatory changes and may also after including lung The effect of was examined in a large study on with induced in a in The authors were on the between inflammation and to had a in inflammation and compared with through receptor levels and of the While the effects on were in this it is more to the data activity of were examined and the used for and not of (i.e. the study to a higher weight in with compared with some of the that may be associated with It is well known that have in to their antimicrobial The of mucus genes and inflammatory cytokines by were also immune and inflammatory responses, and their effect on was investigated in a mouse model of lung The of bacteria to the from the effects of and that was in but not with or was through of inflammatory cytokines and in improved of the data at and to and of compounds that more molecules of the not is a and has the to in It was shown that can of was used in in patients with and may also be an to the in patients with stress is also an important factor in the development of study on exposed to effect of the on oxidative inflammation and airway previous in results from lung cell in this model had to be to be that within after of and may the of in on and In of patients with it is not only the peak but also the and that in with lung was investigated in with induced by of The main of the study was that both and lung was to inflammatory and compared with levels of the cytokines and and the and were in and of receiving or One limitation of this study is that was only for 4 h and no later were The authors suggest that it should be to these in patients with but only will to this is in the development of and the of have been investigated in models of and in patients with is a of and its in has been in have shown may host it may be important to treatment with by activity. reduced activity as in a of patients with and be a useful tool to activity in future studies with this The for useful biomarkers the of The in have candidate and factor is is not only in but also in lung and emphysema development and was investigated in the epithelial in patients with other by does not large and can be The study that levels in were higher in patients compared with and were inversely correlated with lung results suggest that of in the of patients with may be associated with a more which is with a number of studies in models of is a to translational but the of as to be in was also used in a study levels of in It was found to be a useful tool for the of in and better than the more BAL, which and may also a concentration in the the of is candidate for in the of It is the levels of can from of inflammatory response in In respiratory may to between bacterial and The of in in a of patients with to was investigated in a study from The results suggested that is a for mortality from by within h after the of The may be by the small number of patients, but the study was in of and disease The of in of was investigated in a of patients with and compared with an of the and has been used for the of The study that patients had lung of compared with patients with The study did not the mechanism of but the findings suggest that this may be a tool to a of cell The of is a of disease but of the are studies published in Respirology in have examined more specific markers in order to better the cause of The of the in to and was examined by It was found that was associated with but not the other of had a of and a of and are that the is due to study measured and in of patients with and with from with a of and a of a of was higher in than in and at a of of may be the for but the is only around While aim to specific as have at and found with of cells and in the that was a of results on that may be to a of to of in have a can be by inflammatory and diseases, but is of The role of was examined in a mouse model of The authors found that not only but also and cells were substantially in compared with similar of cells was found after by decrease levels of small study previous work by the on and that cytokines are of in the of in the remains the tool to study the pathogenesis of lung and the of although it has and only some of the of The role of inflammation in lung was investigated in mice in the which an of mice had numbers of in the lungs compared with this did not the development or of and a role for inflammation in this model was by the the study is well and the data clear, the findings from this work a number of previous studies have suggested a role for type inflammation in the development of The this in a which is in cell is in lung and also be a factor in human has a role by as an as shown in and The effect of on the lungs was examined in a study the The work a of cells in the lung of although the data did not confirm to be of epithelial The mild effect of on the lungs was a that both inflammatory and with the being after some in interpretation of the The of in lung and should be in with and a better between inflammation and The of in lung and disease were The role of in the remains but it that has different effects, depending on its and the underlying in lung study by investigated in induced sputum in patients with and found an association between levels of and (i.e. more disease data confirm previous results from studies on lung but will have to be by studies in to understanding of the role of in lung The also that induced sputum is a non-invasive tool to the lung and airway in can cause inflammatory changes with to the lung and in respiratory function. The pattern of inflammatory markers, including and in and was examined in patients lung for and compared with of markers were found with no between the there was no or is better for of inflammatory studies have to more patients and to better understand the of the is used to gene expression. The of on genes for cells are to and play a role in lung development and as well as in disease including COPD and lung cell used in were exposed to and the effects of this on the was in a published in It would this summary to but the study that the choice of an gene for gene expression data is of and will depending on the disease model and cell that are used. have shown that the of one gene has been and will a these are in studies at changes after such as in a of on the of into in alveolar epithelial was in cells after mild but not The study some new of changes in lung but is as in the influence of that are an important of cell response in is a respiratory in The of can be as have and a mouse model of in a to Respirology and found that the of in is a and specific for the of In the better known were found in all mice of studies the in should be to this better of patients at risk for chronic The basic and translational studies in Respirology in have understanding of lung and The studies have shown the of models of pathogenesis, and the of genetic susceptibility and interaction in the development of airway Biomarkers of airway disease and lung disease have also been of mucus hypersecretion and response to airway infection have of exacerbations of airway studies have shown to lung and in models, or specific ventilator The will be to these important to novel of diagnosis, prevention and treatment of and chronic lung is by the for and a also has from and was by an The of and COPD

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.396
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2009
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