scholarly journals Molecular mechanisms of phenotypic heterogeneity of chronic obstructive pulmonary disease: the role of JAK / STAT-, NFKB1-signaling pathway and inflammatory response molecules

2020 ◽  
pp. 100-104
Author(s):  
Г.Ф. Корытина ◽  
Ю.Г. Азнабаева ◽  
М.Ю. Темнов ◽  
Ш.Р. Зулькарнеев ◽  
Л.З. Ахмадишина ◽  
...  
Keyword(s):  
Gene Expression ◽  
Chronic Obstructive Pulmonary Disease ◽  
Inflammatory Response ◽  
Pulmonary Disease ◽  
Signaling Pathway ◽  
Expression Profile ◽  
Peripheral Blood ◽  
Phenotypic Heterogeneity ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease

Хроническая обструктивная болезнь легких (ХОБЛ) - это многофакторное хроническое воспалительное заболевание респираторной системы. Одной из причин трудностей в идентификации маркеров ХОБЛ является фенотипическая гетерогенность. Цель - идентификация новых молекулярных маркеров патогенетических изменений, связанных с фенотипической гетерогеностью ХОБЛ на основе анализа профиля экспрессии генов вовлеченных в развитие иммунного ответа в мононуклеарных клетках периферической крови и анализа ассоциации полиморфных вариантов новых кандидатных генов с развитием ХОБЛ. Проведен сравнительный анализ профиля экспрессии панели 84 генов, кодирующих цитокины, хемокины в PBMC пациентов с различными фенотипами ХОБЛ: с частыми обострениями N=10 и редкими обострениями N=10 и контрольной группе N=10. Для анализа ассоциации использовали образцы ДНК больных ХОБЛ (N=601) и контроля (N=617), методом ПЦР в реальном времени проведен анализ 56 полиморфных локусов генов JAK/STAT-, NFKB1-сигнального путей, кодирующих белки, вовлеченные в реализацию реакций иммунного ответа и воспаления. Выявлены значимые изменения профиля экспрессии ряда генов в группе больных ХОБЛ с частыми обострениями. Впервые получены данные по вкладу полиморфных локусов генов JAK1, JAK3, STAT3, ICAM1, PECAM1, SAA1, NFKB1, IL17A, CCR2, CCR6, CCL8, CRP, CX3CL1, CXCR2, CXCR1, TNFRSF1A, IL20, IL19, в развитие данного заболевания. Выявлены специфические генетические маркеры развития фенотипа с частыми обострениями: CXCR2, TNFRSF1B, CCR6, TNF, IL1B, IL10, JAK3, PECAM1. Установлена ассоциация полиморфных вариантов генов TNFRSF1B, TNFRSF1A, CCL23, CXCR2, JAK1, NFKB1, PECAM1, ICAM1, STAT1, LTA, CD14, CXCL12, CCL20, ADIPOR1 и CX3CR1 с показателями функции внешнего дыхания. Определена взаимосвязь аллельных вариантов генов: IL17A, JAK1, JAK3, NFKB1, CCL5, CCL11, CCL17, CXCL8, TNFRSF1A, CX3CL1, CCL8, CCR6, CXCR2, IL19, IL20 с индексом курения. Chronic obstructive pulmonary disease (COPD) is a multifactorial heterogeneous chronic inflammatory disease of the respiratory system predominantly affecting the lower respiratory pathways and the lung parenchyma. One of the reason for difficulties in identifying of COPD markers is phenotypic heterogeneity. The goal of the study is the identification of new molecular markers of pathogenetic changes associated with phenotypic heterogeneity of COPD based on the analysis of the expression profile of genes involved in the development of the immune response in peripheral blood mononuclear cells and analysis of the association of polymorphic variants of new candidate genes with COPD. Methods: to identify differential gene expression in COPD we performed expression profiling of 84 cytokines and chemokines genes in peripheral blood samples from COPD (N=10 with frequent exacerbation phenotype, N=10 rare exacerbation phenotype) and N=10 smoking controls. RNA was isolated from PBMCs, and gene expression was assessed using RT2 Profiler PCR Arrays «Human Cytokines & Chemokines PCR Array»» (Qiagen, Valencia, CA, USA). 56 SNPs of JAK / STAT-, NFKB1-signaling pathway and inflammatory response molecules genes were genotyped by the real-time polymerase chain reaction (TaqMan assays) in a case-control study (601 COPD patients and 617 controls). Results. Significant changes were revealed in the expression profile of several genes in “frequent exacerbator» COPD phenotype. The results indicate a down-regulation of inflammatory molecules in “frequent exacerbator» COPD phenotype. For the first time, we indicated the contribution of JAK1, JAK3, STAT3, ICAM1, PECAM1, SAA1, NFKB1, IL17A, CCR2, CCR6, CCL8, CRP, CX3CL1, CXCR2, CXCR1, TNFRSF1A, IL20, IL19 genes polymorphisms to COPD. Specific genetic markers of “frequent exacerbator” COPD phenotype have been identified, which are modifiers of COPD progression, including polymorphic loci of the CXCR2, TNFRSF1B, CCR6, TNF, IL1B, IL10, JAK3, PECAM1 genes. A significant genotype-dependent variation of lung function parameters was observed for CXCR2, JAK1, NFKB1, PECAM1, ICAM1, STAT1, LTA, CD14, CXCL12, CCL20, ADIPOR1 and CX3CR1 genes. The relationship of IL17A, JAK1, JAK3, NFKB1, CCL5, CCL11, CCL17, CXCL8, TNFRSF1A, CX3CL1, CCL8, CCR6, CXCR2, IL19, IL20 genes with smoking pack-years was found.

scholarly journals Identification of Macrophage Polarization-Related Genes as Biomarkers of Chronic Obstructive Pulmonary Disease Based on Bioinformatics Analyses

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Yalin Zhao ◽  
Meihua Li ◽  
Yanxia Yang ◽  
Tao Wu ◽  
Qingyuan Huang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Chronic Obstructive Pulmonary Disease ◽  
Network Analysis ◽  
Pulmonary Disease ◽  
Signaling Pathway ◽  
Macrophage Polarization ◽  
Diagnostic Value ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Significant Difference

Objectives. Chronic obstructive pulmonary disease (COPD) is characterized by lung inflammation and remodeling. Macrophage polarization is associated with inflammation and tissue remodeling, as well as immunity. Therefore, this study attempts to investigate the diagnostic value and regulatory mechanism of macrophage polarization-related genes for COPD by bioinformatics analysis and to provide a new theoretical basis for experimental research. Methods. The raw gene expression profile dataset (GSE124180) was collected from the Gene Expression Omnibus (GEO) database. Next, a weighted gene coexpression network analysis (WGCNA) was conducted to screen macrophage polarization-related genes. The differentially expressed genes (DEGs) between the COPD and normal samples were generated using DESeq2 v3.11 and overlapped with the macrophage polarization-related genes. Moreover, functional annotations of overlapped genes were conducted by Database for Annotation, Visualization and Integrated Discovery (DAVID) Bioinformatics Resource. The immune-related genes were selected, and their correlation with the differential immune cells was analyzed by Pearson. Finally, receiver operating characteristic (ROC) curves were used to verify the diagnostic value of genes. Results. A total of 4922 coexpressed genes related to macrophage polarization were overlapped with the 203 DEGs between the COPD and normal samples, obtaining 25 genes related to COPD and macrophage polarization. GEM, S100B, and GZMA of them participated in the immune response, which were considered the candidate biomarkers. GEM and S100B were significantly correlated with marker genes of B cells which had a significant difference between the COPD and normal samples. Moreover, GEM was highly associated with the genes in the PI3K/Akt/GSK3β signaling pathway, regulation of actin cytoskeleton, and calcium signaling pathway based on a Pearson correlation analysis of the candidate genes and the genes in the B cell receptor signaling pathway. PPI network analysis also indicated that GEM might participate in the regulation of the PI3K/Akt/GSK3β signaling pathway. The ROC curve showed that GEM possessed an excellent accuracy in distinguishing COPD from normal samples. Conclusions. The data provide a transcriptome-based evidence that GEM is related to COPD and macrophage polarization likely contributes to COPD diagnosis. At the same time, it is hoped that in-depth functional mining can provide new ideas for exploring the COPD pathogenesis.

Health Informatics of Doxofylline Combined with Penehyclidine Hydrochloride on Pulmonary Inflammation in Chronic Obstructive Pulmonary Disease Based on ANOVA Statistical Analysis

2021 ◽  
Vol 11 (7) ◽  
pp. 1999-2005
Author(s):  
Zhiyuan Chen ◽  
Yi Zhang ◽  
Jianhua Wu ◽  
Xiaohua Gao ◽  
Yumei Lin ◽  
...  
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Statistical Analysis ◽  
Inflammatory Response ◽  
Drug Treatment ◽  
Pulmonary Disease ◽  
Signaling Pathway ◽  
Health Informatics ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Penehyclidine Hydrochloride

Objective: This study evaluated the effect of doxofylline combined with penehyclidine hydrochloride on the pulmonary inflammatory response during mechanical ventilation in chronic obstructive pulmonary disease (COPD), as well as to identify the effects of JNK/SAPK signaling pathway in this inflammatory response. Methods: The COPD model can be constructed by exposing it to cigarette smoke and injections of lipopolysaccharide into the airway. Rats were selected randomly for treatment with doxofylline, penehyclidine hydrochloride, a combination of these two drugs. The control Group received no drug treatment. The date were processed using ANOVA statistical analysis. Results: In all rats, the lung tissue was pathologically characteristic of COPD. Peak airway pressure, the wet/dry weight of lungs, and degrees of TNF-α, IL-10, malondialdehyde, JNK, and p-JNK decreased; while IL-10 and superoxide dismutase levels increased (p < 0.05) in all Groups having received drug treatment (p < 0.05) when compared to control. The combination of penehyclidine hydrochloride with doxofylline had a stronger effect on all of these metrics than either drug alone (p < 0.05). Conclusion: Based on health informatics, This study suggests that the combination of penehyclidine hydrochloride with doxofylline can promote the recovery and maintenance of immune homeostasis in mechanically ventilated COPD rats, and that the underlying mechanism may be is influenced by downregulation of the JNK/SAPK signaling pathway.

The role of gene polymorphisms in the pathogenesis of chronic obstructive pulmonary disease

Biologia ◽  
2008 ◽  
Vol 63 (1) ◽  
Author(s):  
Eva Slabá ◽  
Pavol Joppa ◽  
Ján Šalagovič ◽  
Ružena Tkáčová
Keyword(s):  
Chronic Obstructive Pulmonary Disease ◽  
Inflammatory Response ◽  
Candidate Genes ◽  
Pulmonary Disease ◽  
Gene Polymorphisms ◽  
Association Studies ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Positional Candidate ◽  
Linkage Analyses

AbstractChronic obstructive pulmonary disease (COPD) is a major cause of morbidity and mortality worldwide. Irreversible airflow limitation, both progressive and associated with an inflammatory response of the lungs to noxious particles or gases, is a hallmark of the disease. Cigarette smoking is the most important environmental risk factor for COPD, nevertheless, only approximately 20–30% of smokers develop symptomatic disease. Epidemiological studies, case-control studies in relatives of patients with COPD, and twin studies suggest that COPD is a genetically complex disease with environmental factors and many involved genes interacting together. Two major strategies have been employed to identify the genes and the polymorphisms that likely contribute to the development of complex diseases: association studies and linkage analyses. Biologically plausible pathogenetic mechanisms are prerequisites to focus the search for genes of known function in association studies. Protease-antiprotease imbalance, generation of oxidative stress, and chronic inflammation are recognized as the principal mechanisms leading to irreversible airflow obstruction and parenchymal destruction in the lung. Therefore, genes which have been implicated in the pathogenesis of COPD are involved in antiproteolysis, antioxidant barrier and metabolism of xenobiotic substances, inflammatory response to cigarette smoke, airway hyperresponsiveness, and pulmonary vascular remodelling. Significant associations with COPD-related phenotypes have been reported for polymorphisms in genes coding for matrix metalloproteinases, microsomal epoxide hydrolase, glutathione-S-transferases, heme oxygenase, tumor necrosis factor, interleukines 1, 8, and 13, vitamin D-binding protein and β-2-adrenergic receptor (ADRB2), whereas adequately powered replication studies failed to confirm most of the previously observed associations. Genome-wide linkage analyses provide us with a novel tool to identify the general locations of COPD susceptibility genes, and should be followed by association analyses of positional candidate genes from COPD pathophysiology, positional candidate genes selected from gene expression studies, or dense single nucleotide polymorphism panels across regions of linkage. Haplotype analyses of genes with multiple polymorphic sites in linkage disequilibrium, such as the ADRB2 gene, provide another promising field that has yet to be explored in patients with COPD. In the present article we review the current knowledge about gene polymorphisms that have been recently linked to the risk of developing COPD and/or may account for variations in the disease course.

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