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Chronic obstructive pulmonary disease (COPD) is characterized by chronic airflow limitation caused by a combination of airways disease (bronchiolitis) and parenchymal destruction (emphysema), whose relative proportion varies from patient to patient.To explore and contrast the molecular pathogenesis of emphysema and bronchiolitis in COPD.We used network analysis of lung transcriptomics (Affymetrix arrays) in 70 former smokers with COPD to compare differential expression and gene coexpression in bronchiolitis and emphysema.We observed that in emphysema (but not in bronchiolitis) (1) up-regulated genes were enriched in ontologies related to B-cell homing and activation; (2) the immune coexpression network had a central core of B cell-related genes; (3) B-cell recruitment and immunoglobulin transcription genes (CXCL13, CCL19, and POU2AF1) correlated with emphysema severity; (4) there were lymphoid follicles (CD20(+)IgM(+)) with active B cells (phosphorylated nuclear factor-κB p65(+)), proliferation markers (Ki-67(+)), and class-switched B cells (IgG(+)); and (5) both TNFRSF17 mRNA and B cell-activating factor protein were up-regulated. These findings were by and large reproduced in a group of patients with incipient emphysema and when patients with emphysema were matched for the severity of airflow limitation of those with bronchiolitis.Our study identifies enrichment in B cell-related genes in patients with COPD with emphysema that is absent in bronchiolitis. These observations contribute to a better understanding of COPD pathobiology and may open new therapeutic opportunities for patients with COPD.

Aging is a natural process characterized by progressive functional impairment and reduced capacity to respond appropriately to environmental stimuli and injury. The incidence of two common chronic respiratory diseases (chronic obstructive pulmonary disease [COPD] and idiopathic pulmonary fibrosis [IPF]) increases with advanced age. It is plausible, therefore, that abnormal regulation of the mechanisms of normal aging may contribute to the pathobiology of both COPD and IPF. This review discusses the available evidence supporting a number of aging mechanisms, including oxidative stress, telomere length regulation, cellular and immunosenescence, as well as changes in a number of antiaging molecules and the extracellular matrix, which are abnormal in COPD and/or IPF. A better understanding of these abnormalities may help in the design of novel and better therapeutic interventions for these patients.

Psoriasis is a common inflammatory skin disease with key immunological and genetic components. Recruitment of leukocytes into the skin is a central step in its pathogenesis, mediated by cytokines. Among the cytokines expressed in psoriatic lesions, C-C chemokine ligand 4 (CCL4) and C-C chemokine ligand 4-like (CCL4L) chemokines appear to be pivotal elements for the skin recruitment of proinflammatory cells. The aim of this study is to evaluate the relationship between CCL4L polymorphisms (including single-nucleotide polymorphisms (SNPs) and copy number variation (CNV)) and the course and prognosis of psoriasis. We analyzed the CNV and the rs4796195 SNP in 211 psoriatic patients and 234 controls; sera from both populations were also quantified for CCL4/CCL4L protein. Our results showed that a high CNV (≥3 copies) is associated with psoriasis severity, whereas moderate disease correlated with a lower CNV (≤2 copies); specifically, the CCL4L1 allele frequency is higher in severe psoriasis, whereas CCL4L2 is more frequent in patients with a milder disease. In addition, we found a positive correlation between the CNV and sera protein levels. Our results suggest that CCL4L genotyping could not only allow a better understanding of the psoriatic pathogenesis but could also be used as a prognostic tool, even helping to modulate the efficacy of treatments.newline JID JOURNAL CLUB ARTICLE: For questions, answers, and open discussion about this article, please go to http://www.nature.com/jid/journalclub

Background Cardiovascular diseases are frequent and a major cause of death in patients with chronic obstructive pulmonary disease (COPD). In the general population, various fat depots including abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and liver fat have been linked to increased risk of cardiovascular diseases. We hypothesize that these adipose tissue compartments are associated with myocardial infarction (MI) in patients with COPD.

Lung transplantation (LT) has become an accepted therapy for selected patients with advanced lung disease. One of the main limitations to successful LT is rejection of the transplanted organ where chemokines are pivotal mediators. Here, we test the relationship between copy number variation (CNV) in the CCL4L chemokine gene and rejection risk in LT patients (n=161). Patients with no acute rejection showed a significantly lower mean number of CCL4L copies than patients that showed acute rejection (1.66 vs 1.96, P=0.014), with an even greater number of gene copies seen in patients with more than one episode of acute rejection (1.66 vs 2.30, P=0.001). Additionally, patients withor =2 CCL4L copies had a significantly higher risk of acute rejection compared with patients that had 0-1 CCL4L copies (odds ratio 2.65; 95% confidence interval, 1.33-5.28; P=0.0046). A combined analysis of CCL4L CNV and the rs4796195 CCL4L single nucleotide polymorphism demonstrated that the effect of CCL4L copy number in acute rejection is mainly because of the number of copies of the CCL4L1 allelic variant. This finding constitutes the first report of CNV as a correlate factor in allograft rejection.

Getting value out of human leucocyte antigen (HLA) laboratories requires not only good technology and software but also an understanding of the role of HLA in the immune response and in immunopathology. In this paper, we give some historical background that explains why HLA remains a difficult subject for most laboratory and clinical scientists and we comment on what is known of their function as antigen-presenting molecules. We review then the state of knowledge on the genetics of HLA, which still contains many unresolved questions, not all that surprising since, despite the myriad of association studies, only three extended haplotypes have been fully sequenced to date. The HUGO and HapMap projects have revealed the daunting complexity of this genomic region that not only contains a extremely high density of genes, but it is also the most actively transcribed region of the human genome, probably because it contains many histone- and tRNA-coding genes. Finally, the main typing techniques and what the future may bring are briefly discussed.

Patients with chronic obstructive pulmonary disease (COPD) often suffer other concomitant diseases that negatively impact their prognosis and health status [1]. However, it is unclear if they are causally related to COPD or result from shared risk factors, such as ageing, smoking and/or inactivity [2]. Likewise, the precise underlying molecular mechanisms are also unclear [3], hence limiting targeted therapeutic interventions. The use of network analysis can help to elucidate this conundrum [4]. Network analysis of comorbidities in COPD patients provides new insights into the pathobiology of disease

Self-renewing, multi-potent and clonogenic stem cells (ckit+/CD45-/tryptase-, CD34-) have been described in lung tissue of healthy adults. Whether they are present in smokers with and without chronic obstruc-tive pulmonary disease (COPD) is unknown.

Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous disease, so its clinical management needs to be personalized as much as possible. 'Complex' means that COPD has several components with non-linear dynamic interactions, whereas 'heterogeneous' indicates that not all these components are present in all patients or, in a given patient, at all time points. This complexity and heterogeneity explains and justifies the need for personalizing the assessment and treatment of patients with COPD. We propose here that the implementation of a 'control panel' will facilitate the deployment of personalized COPD medicine in clinical practice. Such a control panel should provide the practicing clinician complementary and relevant information on treatable clinical characteristics in a single patient at a given time point. For the purpose of this discussion, we consider these variables to be 'biomarkers'. Which treatable clinical characteristics should the COPD control panel include has not yet been formally validated. The review below suggests and discusses which ones might be considered in the future and should be viewed as a working proposal.

Patients with chronic obstructive pulmonary disease (COPD) often suffer episodes of exacerbation (ECOPD) that impact negatively the course of their disease. ECOPD are heterogeneous events of unclear pathobiology and non-specific diagnosis. Network analysis is a novel research approach that can help unravelling complex biological systems. We hypothesised that the comparison of multi-level (i.e., clinical, physiological, biological, imaging and microbiological) correlation networks determined during ECOPD and convalescence can yield novel patho-biologic information. In this proof-of-concept study we included 86 patients hospitalised because of ECOPD in a multicentre study in Spain. Patients were extensively characterised both during the first 72 h of hospitalisation and during clinical stability, at least 3 months after hospital discharge. We found that 1) episodes of ECOPD are characterised by disruption of the network correlation observed during convalescence; and 2) a panel of biomarkers that include increased levels of dyspnoea, circulating neutrophils and C-reactive protein (CRP) has a high predictive value for ECOPD diagnosis (AUC 0.97). We conclude that ECOPD 1) are characterised by disruption of network homeokinesis that exists during convalescence; and 2) can be identified objectively by using a panel of three biomarkers (dyspnoea, circulating neutrophils and CRP levels) frequently determined in clinical practice.

The healthy lung has previously been considered to be a sterile organ because standard microbiological culture techniques consistently yield negative results. However, culture-independent techniques report that large numbers of microorganisms coexist in the lung. There are many unknown aspects in the field, but available reports show that the lower respiratory tract microbiota: 1) is similar in healthy subjects to the oropharyngeal microbiota and dominated by members of the Firmicutes, Bacteroidetes and Proteobacteria phyla; 2) shows changes in smokers and well-defined differences in chronic respiratory diseases, although the temporal and spatial kinetics of these changes are only partially known; and 3) shows relatively abundant non-cultivable bacteria in chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis, cystic fibrosis and bronchiectasis, with specific patterns for each disease. In all of these diseases, a loss of diversity, paralleled by an over-representation of Proteobacteria (dysbiosis), has been related to disease severity and exacerbations. However, it is unknown whether dysbiosis is a cause or a consequence of the damage to bronchoalveolar surfaces.Finally, little is known about bacterial functionality and the interactions between viruses, fungi and bacteria. It is expected that future research in bacterial gene expressions, metagenomics longitudinal analysis and host–microbiome animal models will help to move towards targeted microbiome interventions in respiratory diseases.

Auto-immunity may contribute to the pathogenesis of chronic obstructive pulmonary disease (COPD), particularly to the presence of emphysema. Auto-immune diseases are characterized by an abnormal distribution of HLA class II alleles (DR and DQ). The distribution of DRB1 and DQB1 alleles has not been investigated in COPD.To this end, HLA medium-low resolution typing was performed following standardized protocols in 320 clinically stable COPD patients included in the PAC-COPD study. Results were compared with controls of the same geographical and ethnic origin, and potential relationships with the severity of airflow limitation and lung diffusing capacity impairment were explored in patients with COPD.The distribution of DRB1 and DQB1 alleles in COPD was similar to that of controls except for a significantly higher prevalence of DRB1*14 in patients with severe airflow limitation and low diffusing capacity.By and large, HLA distribution was similar in COPD patients and controls, but the HLA class II allele DRB1*14 may contribute to the pathogenesis of severe COPD with emphysema.

The relationship between systemic inflammation and comorbidities in patients with chronic obstructive pulmonary disease (COPD) is unclear. This article discusses (1) the prevalence and clinical impact of comorbidities in COPD; (2) the current knowledge on definition, prevalence, consequences, and treatment of systemic inflammation in COPD; and (3) the relationship of systemic inflammation and lung cancer in COPD.

Graves' disease (GD) is the paradigm of an anti-receptor autoimmune disease, with agonistic auto-antibodies against the thyrotropin receptor (TSHR-thyroid-stimulating hormone receptor) being the underlying pathogenic effector mechanism. The TSHR belongs to the category of tissue-restricted antigens, which are promiscuously expressed in the thymus and thereby induce central T cell tolerance. In order to understand the association between TSHR gene polymorphisms and GD, we tested the hypothesis that TSHR gene variants affect susceptibility to GD by influencing levels of TSHR transcription in the thymus. We show that thymic glands from non-autoimmune donors homozygous for the rs179247 SNP predisposing allele of TSHR had significantly fewer TSHR mRNA transcripts than carriers of the protective allele. In addition, in heterozygous individuals, the TSHR predisposing allele was expressed at a lower level than the protective one as demonstrated by allele-specific transcript quantification. This unbalanced allelic expression was detectable in both thymic epithelial cells and thymocytes. Since the level of self-antigen expression is known to influence the threshold of central tolerance, these results are compatible with the notion that defective central tolerance contributes to the pathogenesis of GD, a scenario already implicated in type 1 diabetes mellitus, myasthenia gravis and autoimmune myocarditis.

BACKGROUND: Human immunodeficiency virus (HIV) takes advantage of multiple host proteins to support its own replication. The gene ZNRD1 (zinc ribbon domain-containing 1) has been identified as encoding a potential host factor that influenced disease progression in HIV-positive individuals in a genomewide association study and also significantly affected HIV replication in a large-scale in vitro short interfering RNA (siRNA) screen. Genes and polymorphisms identified by large-scale analysis need to be followed up by means of functional assays and resequencing efforts to more precisely map causal genes. METHODS: Genotyping and ZNRD1 gene resequencing for 208 HIV-positive subjects (119 who experienced long-term nonprogression [LTNP] and 89 who experienced normal disease progression) was done by either TaqMan genotyping assays or direct sequencing. Genetic association analysis was performed with the SNPassoc package and Haploview software. siRNA and short hairpin RNA (shRNA) specifically targeting ZNRD1 were used to transiently or stably down-regulate ZNRD1 expression in both lymphoid and nonlymphoid cells. Cells were infected with X4 and R5 HIV strains, and efficiency of infection was assessed by reporter gene assay or p24 assay. RESULTS: Genetic association analysis found a strong statistically significant correlation with the LTNP phenotype (single-nucleotide polymorphism rs1048412; [Formula: see text]), independently of HLA-A10 influence. siRNA-based functional analysis showed that ZNRD1 down-regulation by siRNA or shRNA impaired HIV-1 replication at the transcription level in both lymphoid and nonlymphoid cells. CONCLUSION: Genetic association analysis unequivocally identified ZNRD1 as an independent marker of LTNP to AIDS. Moreover, in vitro experiments pointed to viral transcription as the inhibited step. Thus, our data strongly suggest that ZNRD1 is a host cellular factor that influences HIV-1 replication and disease progression in HIV-positive individuals.

In humans, the region configurations DR1, DR8, DR51, DR52 and DR53 are known to display copy number as well as allelic variation, rendering high resolution typing of HLA-DRB haplotypes cumbersome. Advantage was taken of microsatellite D6S2878, present in all DRB genes/pseudogenes with an intact exon 2-intron 2 segment. This DRB-STR is highly polymorphic in composition and length. Recently, it was proven that all exon 2 sequences could be linked to a certain DRB-STR that segregates with the respective DRB allele. Because haplotypes show differential copy numbers and compositions of exon 2- positive DRB genes/pseudogenes, unique DRB-STR patterns could be described that appear to be specific for a particular DRB haplotype. The aim of this workshop project was to approve and to qualify this simple typing protocol in a larger panel covering different European populations. All participants succeeded in correctly defining the DRB-STR amplicons varying from 135 to 222 base pair (bp) lengths. The panel of 101 samples covered 50 DRB alleles distributed over 37 different haplotypes as defined by exon 2 sequence-based typing. These haplotypes could be refined into 105 haplotypes by DRB-STR typing. Thus, discrimination of exon 2-identical DRB alleles was feasible, as well as the exact description of three different crossing-over events that resulted in the generation of hybrid DR region configurations. This typing procedure appears to be a quick and highly robust technique that can easily be performed by different laboratories, even without experience in microsatellite typing ; thus, it is suitable for a variety of researchers in diverse research areas.

The recent description of a large amount of copy number variation (CNV) in the human genome has extended the concept of genome diversity. In this study we integrate the analysis of CNV and single nucleotide polymorphisms (SNPs) in the human CCL4L chemokine gene. CCL4L is a nonallelic copy of CCL4/MIP-1beta chemokine and displays a CNV that also includes the CCL3L gene, a nonallelic copy of CCL3/MIP-1alpha. This CNV and two functionally relevant CCL4L SNPs (rs4796195 and rs3744595) have been recently associated to HIV pathology in three independent studies. We have quantified the CCL4L copy number and genotyped both SNPs in samples from HGDP-CEPH Diversity Panel. A strong correlation between CCL4L CNV and one of the SNPs analyzed is found, whereas no significant linkage disequilibrium is found between the two SNPs despite their close distance (647 bp), suggesting a recent appearance of the second SNP when the diversity in the first one and CNV had already been generated. The present study points out that in genes with CNV, it may be a key issue to combine the assessment of gene copy number with the genotyping of relevant SNPs to understand the phenotypic impact of genome variation in the immune response.

HLA genotyping by polymerase chain reaction (PCR) has some inherent labor-intensive and effort-demanding limitations. To overcome them, we have developed a real-time PCR with hybridization probes approach able to obtain a medium-low resolution HLA-B genotyping with fewer tubes and probes and with a shorter time requirement. Our strategy used 18 simultaneous reactions amplifying HLA-B alleles and an internal control. Monitorization of both amplifications in each tube is performed by the simultaneous application of two fluorescent resonance emission transfer probes: the first probe, different for each tube, is specific for the HLA-B locus and the second probe detects the control gene. A medium-low resolution (300 HLA-B allelic groups) typing is obtained for each sample by analyzing the melting curve patterns. Because some alleles may be determined without using the complete set of reactions, we present an alternative strategy: a first round of seven reactions and, according to the result, a second (or third) round of PCRs to solve the ambiguities. This method was validated in pretyped clinical samples and the results were completely concordant. Moreover, fewer ambiguous results were obtained. In summary, we present a new, faster, and more accurate method than currently used PCR techniques to type HLA-B alleles.

Background: Chronic Obstructive Pulmonary Disease (COPD) is characterized by an enhanced inflammatory response to smoking that persists despite quitting. The resolution of inflammation (catabasis) is a complex and highly regulated process where tissue resident macrophages play a key role since they phagocytose apoptotic cells (efferocytosis), preventing their secondary necrosis and the spill-over of their pro-inflammatory cytoplasmic content, and release pro-resolution and tissue repair molecules, such as TGF beta, VEGF and HGF. Because inflammation does not resolve in COPD, we hypothesized that catabasis may be abnormal in these patients. Methods: To explore this hypothesis, we studied lung tissue samples obtained at surgery from 21 COPD patients, 22 smokers with normal spirometry and 13 non-smokers controls. In these samples we used: (1) immunohistochemistry to assess the expression of CD44, CD36, VEGF and TGF beta in lung macrophages; (2) real time PCR to determine HGF, PPAR gamma, TGF beta, VEGF and MMP-9 gene expression; and, (3) ELISA to quantify lipoxin A4, a lipid mediator of catabasis. Results: We found that current and former smokers with COPD showed: (1) more inflammation (higher MMP-9 expression); (2) reduced macrophage surface expression of CD44, a key efferocytosis receptor; and, (3) similar levels of TGF beta, VEGF, HGF, PPAR gamma, and lipoxin A4 than smokers with normal spirometry, despite the presence of inflammation and disease. Conclusions: These results identify several potential abnormalities of catabasis in patients with COPD., Supported, in part, by FIS 09/00629, FIS 10/00523 and an unrestricted grant from GSK.

Background Previous studies have identified lung, sputum or blood transcriptomic biomarkers associated with the severity of airflow limitation in COPD. Yet, it is not clear whether the lung pathobiology is mirrored by these surrogate tissues. The aim of this study was to explore this question. Methods We used Weighted Gene Co-expression Network Analysis (WGCNA) to identify shared pathological mechanisms across four COPD gene-expression datasets: two sets of lung tissues (L1 n = 70; L2 n = 124), and one each of induced sputum (S; n = 121) and peripheral blood (B; n = 121). Results WGCNA analysis identified twenty-one gene co-expression modules in L1. A robust module preservation between the two L datasets was observed (86%), with less preservation in S (33%) and even less in B (23%). Three modules preserved across lung tissues and sputum (not blood) were associated with the severity of airflow limitation. Ontology enrichment analysis showed that these modules included genes related to mitochondrial function, ion-homeostasis, T cells and RNA processing. These findings were largely reproduced using the consensus WGCNA network approach. Conclusions These observations indicate that major differences in lung tissue transcriptomics in patients with COPD are poorly mirrored in sputum and are unrelated to those determined in blood, suggesting that the systemic component in COPD is independently regulated. Finally, the fact that one of the preserved modules associated with FEV1 was enriched in mitochondria-related genes supports a role for mitochondrial dysfunction in the pathobiology of COPD. Electronic supplementary material The online version of this article (10.1186/s12931-018-0965-y) contains supplementary material, which is available to authorized users.

BACKGROUND Chronic obstructive pulmonary disease (COPD) is thought to result from an accelerated decline in forced expiratory volume in 1 second (FEV1) over time. Yet it is possible that a normal decline in FEV1 could also lead to COPD in persons whose maximally attained FEV1 is less than population norms. METHODS We stratified participants in three independent cohorts (the Framingham Offspring Cohort, the Copenhagen City Heart Study, and the Lovelace Smokers Cohort) according to lung function (FEV1 ≥80% or

Background Tobacco smoking is the main risk factor of chronic obstructive pulmonary disease (COPD) but not all smokers develop the disease. An abnormal pulmonary and systemic inflammatory response to smoking is thought to play a major pathogenic role in COPD, but this has never been tested directly. Methods We studied the systemic biomarker and leukocyte transcriptomic response (Affymetrix microarrays) to smoking exposure in 10 smokers with COPD and 10 smokers with normal spirometry. We also studied 10 healthy never smokers (not exposed to smoking) as controls. Because some aspects of COPD may differ in males and females, and the inflammatory response to other stressors (infection) might be different in man and women, we stratified participant recruitment by sex. Differentially expressed genes were validated by q-PCR. Ontology enrichment was evaluated and interaction networks inferred. Results Principal component analysis identified sex differences in the leukocyte transcriptomic response to acute smoking. In both genders, we identified genes that were differentially expressed in response to smoking exclusively in COPD patients (COPD related signature) or smokers with normal spirometry (Smoking related signature), their ontologies and interaction networks. Conclusions The use of an experimental intervention (smoking exposure) to investigate the transcriptomic response of peripheral leukocytes in COPD is a step beyond the standard case-control transcriptomic profiling carried out so far, and has facilitated the identification of novel COPD and Smoking expression related signatures which differ in males and females.

Graves’ disease (GD) is the paradigm of an anti-receptor autoimmune disease with agonistic auto-antibodies against the thyrotropin receptor (TSHR) being the underlying pathogenic mechanism. TSHR belongs to the category of tissue-restricted antigens (TRAs), which are expressed by medullary thymic epithelial cells (mTECs) and thereby induce central T cell tolerance. In order to understand the association between TSHR gene polymorphisms and GD we tested the hypothesis that TSHR gene variants affect susceptibility to GD by influencing levels of TSHR transcription in the thymus. The results indicate that thymic glands from normal children homozygous for the rs179247 predisposing allele of TSHR had significantly fewer TSHR mRNA transcripts than carriers of the protective allele. In addition, in heterozygous, the TSHR predisposing allele was expressed at a lower level than the protective one as demonstrated by Allele Specific Transcript Quantification. The effect of TSHR SNP rs179247 was thymus-specific and not observed in thyroid glands. These results constitute first evidence for the involvement of central tolerance in the loss of tolerance to TSHR in GD and underscore the concept that variable expression levels of major target autoantigens in the thymus influence the predisposition to autoimmunity presumably by changing the threshold of tolerance.