Prognosis Of Chronic Obstructive Pulmonary Disease Research Articles

Changes of β2-microglobulin and electrolytes in different stages of COPD and their value in evaluating prognosis

Background: To investigate the changes of β2-microglobulin and electrolyte in different stages of chronic obstructive pulmonary disease (COPD) and the value of evaluating prognosis. Methods: A retrospective study was undertaken on 120 patients diagnosed with COPD and treated at our hospital between February 1, 2020, and January 31, 2023. These patients were classified into three groups based on the GOLD classification: mild (FEV1 > 81%), moderate (51% < FEV1 ≤ 80%), and severe (FEV1 ≤ 50%). As a control group, 40 healthy individuals who had routine examinations during the same period were selected. The COPD patients were then followed up and divided into a good prognosis group (n = 67) and a poor prognosis group (n = 53). The levels of β 2-microglobulin and electrolytes were measured in patients with different stages of the disease and different prognoses. Kendall's tau-b and ordered logistic regression were employed to analyze how the changes in β 2-microglobulin and electrolyte levels correlated with disease severity. Furthermore, the prognostic value of β 2-microglobulin and electrolyte levels in COPD was assessed using an ROC curve. Results: In comparison to the control group, the severity of COPD patients displayed a notable increase in β 2-microglobulin levels, while there was a significant decrease in levels of calcium, chlorine, potassium, and sodium. Kendall's tau-b correlation coefficient analysis indicated a positive correlation between COPD severity and β 2-microglobulin, and a negative correlation between COPD severity and levels of calcium, chlorine, potassium, and sodium. Logistic regression analysis revealed that there was a positive correlation between disease severity and β 2-microglobulin, and a negative correlation between disease severity and levels of calcium, chlorine, potassium, and sodium. Furthermore, the poor prognosis group exhibited a significant increase in β 2-microglobulin levels, alongside a significant decrease in levels of calcium, chlorine, potassium, and sodium compared to the good prognosis group (P < 0.05). ROC curve analysis demonstrated that a combined detection of β 2-microglobulin, calcium, chlorine, potassium, and sodium yielded significantly higher area under the curve, sensitivity, and specificity values compared to single detection methods, highlighting its significant predictive value for COPD prognosis. Conclusion: Patients who presented with a more severe form of the disease exhibited elevated levels of β 2-microglobulin and reduced electrolyte levels. Prognostic accuracy was significantly enhanced when β 2-microglobulin and electrolyte levels were analyzed together, offering a superior method for predicting patient outcomes.

Smart Bioimpedance Device for the Assessment of Peripheral Muscles in Patients with COPD.

Muscle dysfunction and muscle atrophy are common complications resulting from Chronic Obstructive Pulmonary Disease (COPD). The evaluation of the peripheral muscles can be carried out through the assessment of their structural components from ultrasound images or their functional components through isometric and isotonic strength tests. This evaluation, performed mainly on the quadriceps muscle, is not only of great interest for diagnosis, prognosis and monitoring of COPD, but also for the evaluation of the benefits of therapeutic interventions. In this work, bioimpedance spectroscopy technology is proposed as a low-cost and easy-to-use alternative for the evaluation of peripheral muscles, becoming a feasible alternative to ultrasound images and strength tests for their application in routine clinical practice. For this purpose, a laboratory prototype of a bioimpedance device has been adapted to perform segmental measurements in the quadriceps region. The validation results obtained in a pseudo-randomized study in patients with COPD in a controlled clinical environment which involved 33 volunteers confirm the correlation and correspondence of the bioimpedance parameters with respect to the structural and functional parameters of the quadriceps muscle, making it possible to propose a set of prediction equations. The main contribution of this manuscript is the discovery of a linear relationship between quadriceps muscle properties and the bioimpedance Cole model parameters, reaching a correlation of 0.69 and an average error of less than 0.2 cm regarding the thickness of the quadriceps estimations from ultrasound images, and a correlation of 0.77 and an average error of 3.9 kg regarding the isometric strength of the quadriceps muscle.

Clinical Significance of Long Non-Coding RNA SNHG5 in the Diagnosis and Prognosis of Chronic Obstructive Pulmonary Disease

Chronic obstructive pulmonary disease (COPD) is preventable and requires early screening. The study aimed to examine the clinical values of long non-coding RNA (lncRNA) SNHG5 in COPD diagnosis and prognosis. Out of 160 COPD patients, 80 were in the stable stage and 80 were in the acute exacerbation of COPD stage (AECOPD). SNHG5 expression was detected via qRT-PCR. The survival analysis was conducted using Cox regression analysis and K-M curve. SNHG5 levels significantly reduced in both stable COPD and AECOPD groups compared with the control group, with AECOPD group recording the lowest values. SNHG5 levels were negatively correlated with GOLD stage. Serum SNHG5 can differentiate stable COPD patients from healthy individuals (AUC = 0.805), and can screen AECOPD from stable ones (AUC = 0.910). SNHG5 negatively influenced the release of inflammatory cytokines. For AECOPD patients, those with severe cough and wheezing dyspnea symptoms exhibited the lowest values of SNUG5. Among the 80 AECOPD patients, 16 cases died in the one-year follow-up, all of whom had low levels of SNHG5. SNHG5 levels independently influenced survival outcomes, patients with low SNHG5 levels had a poor prognosis. Thus, lncRNA SNHG5, which is downregulated in patients with COPD (especially AECOPD), can potentially protect against AECOPD and serve as a novel prognostic biomarker for AECOPD.

The role of serum chloride ion in the prognosis of COPD

BackgroundAs exacerbations of chronic obstructive pulmonary disease (COPD) are one of the leading causes of hospitalization and are associated with significant mortality, it is particularly important to accurately assess the risk of exacerbations in COPD. Most of the current clinical biomarkers are related to inflammation and few consider how ion levels affect COPD. Chloride ion, the second most abundant serum electrolyte, has been shown to be associated with poor prognoses in several diseases, but their relationship with COPD remains unclear. MethodsIn total, 105 patients with acute exacerbations of COPD were recruited. Data on clinical characteristics, lung function, blood count, blood biochemistry, relevant scales including the Clinical COPD Questionnaire (CCQ), BODE (BMI, airflow obstruction, dyspnea, exercise capacity) index and the St. George's Respiratory Questionnaire (SGRQ) were collected from all patients for statistical analysis. ResultThere were significant differences in lung function indicators and disease severity in the low chloride ion subgroup compared with the high chloride ion subgroup. On multiple logistic regression analysis, chloride ion was an independent factor affecting lung function in COPD patients (OR=0.808, 95% CI: 0.708 - 0.922, p=0.002). The sensitivity of chloride ion in predicting COPD severity was 78%, the specificity was 63%, and the area under the curve was 0.734 (p<0.001). Subgroup analysis showed that chloride ion was a stronger predictor in male and smoking patients. ConclusionsChloride ion was a novel prognostic biomarker for COPD, and low levels of chloride ion were independently associated with exacerbations in COPD patients.

Inflammation mediates the association between furan exposure and the prevalence and mortality of chronic obstructive pulmonary disease: National Health and Nutrition Examination Survey 2013-2018.

Although extensive research has established associations between chronic obstructive pulmonary disease (COPD) and environmental pollutants, the connection between furan and COPD remains unclear. This study aimed to explore the association between furan and COPD while investigating potential mechanisms. The study involved 7,482 adults from the National Health and Nutrition Examination Survey 2013-2018. Exposure to furan was assessed using blood furan levels. Participants were categorized into five groups based on quartiles of log10-transformed blood furan levels. Logistic regression and restricted cubic spline regression models were used to assess the association between furan exposure and COPD risk. Mediating analysis was performed to assess the contribution of inflammation to the effects of furan exposure on COPD prevalence. Cox regression was used to assess the association between furan exposure and the prognosis of COPD. Participants with COPD exhibited higher blood furan levels compared to those without COPD (P < 0.001). Log10-transformed blood furan levels were independently associated with an increased COPD risk after adjusting for all covariates (Q5 vs. Q1: OR = 4.47, 95% CI = 1.58-12.66, P = 0.006, P for trend = 0.001). Inflammatory cells such as monocytes, neutrophils, and basophils were identified as mediators in the relationship between furan exposure and COPD prevalence, with mediated proportions of 8.73%, 20.90%, and 10.94%, respectively (all P < 0.05). Moreover, multivariate Cox regression analysis revealed a positive correlation between log10-transformed blood furan levels and respiratory mortality in COPD patients (HR = 41.00, 95% CI = 3.70-460.00, P = 0.003). Exposure to furan demonstrates a positive correlation with both the prevalence and respiratory mortality of COPD, with inflammation identified as a crucial mediator in this relationship.

Low Skeletal Muscle Mass and Clinical Outcomes in Chronic Obstructive Pulmonary Disease.

In patients with chronic obstructive pulmonary disease (COPD), decreased muscle mass is a frequently encountered comorbidity in clinical practice. However, the evaluation of muscle mass in patients with COPD in real-world practice is rare. We retrospectively reviewed the electronic medical records of all patients with COPD who underwent bioelectrical impedance analysis at least once between January 2011 and December 2021 in three hospitals. Then, we analyzed the performance rate of muscle mass measurement in the patients and the correlation between muscle mass, clinical parameters, and COPD prognosis. Among the 24,502 patients with COPD, only 270 (1.1%) underwent muscle mass measurements. The total skeletal muscle mass index was significantly correlated with albumin, alanine transaminase, and creatinine to cystatin C ratio in patients with COPD (r=0.1614, p=0.011; r=0.2112, p=0.001; and r=0.3671, p=0.001, respectively). Acute exacerbation of COPD (AE COPD) was significantly correlated with muscle mass, especially the truncal skeletal muscle mass index (TSMI) in males (r=-0.196, p=0.007). In the multivariate analysis, TSMI and cystatin C were significant risk factors for AE COPD (hazard ratio, 0.200 [95% confidence interval, CI, 0.048 to 0.838] and 4.990 [95% CI, 1.070 to 23.278], respectively). Low muscle mass negatively affects the clinical outcomes in patients with COPD. Despite its clinical significance, muscle mass measurement is performed in a small proportion of patients with COPD. Therefore, protocols and guidelines for the screening of sarcopenia in patients with COPD should be established.

Analysis of the Comorbid Course of Chronic Obstructive Pulmonary Disease.

(1) Background. Chronic obstructive pulmonary disease (COPD) has a heterogeneous natural history, manifested both in the variability of clinical features and in association with various comorbid pathologies. Atherosclerotic cardiovascular disease (ASCVD) is of great clinical importance and contributes significantly to the natural history and prognosis of COPD. The present study aimed to evaluate the nature of the comorbid course of COPD during a 15-year follow-up. (2) Methods: A total of 170 male COPD patients were included in this study. Spirometry values, symptom severity, presence of risk factors, and comorbidities were considered. Prognostic factors were evaluated using the Kaplan-Meier method. (3) Results: ASCVD was the most common comorbidity and the main cause of death in patients with COPD. Patients with comorbid COPD and ASCVD had more severe dyspnea, higher frequency of COPD exacerbations, and worse survival than patients without ASCVD (p < 0.01). Among patients with COPD, the risk of death from ASCVD was higher in those older than 60 years (OR 3.23, 95% CI [1.72, 6.07]), those with rapidly declining FEV1 (OR 4.35, 95% CI [2.28, 8.30]), those with more than two exacerbations per year (OR 3.21, 95% CI [1.71, 6.11]), and those with a pack year index greater than 30 (OR 2.75, 95% CI [1.38, 5.51]. High Charlson comorbidity index scores in patients with COPD were associated with a more severe disease course, including severity of dyspnea, frequency of exacerbations, and multivariate index scores. A high Charlson comorbidity index score was an adverse prognostic factor. (4) Conclusions: ASCVD influences the course of the disease and is a major cause of mortality in COPD patients.

Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review.

Chronic obstructive pulmonary disease (COPD) is a common heterogeneous respiratory disease which is characterized by persistent and incompletely reversible airflow limitation. Due to the heterogeneity and phenotypic complexity of COPD, traditional diagnostic methods provide limited information and pose a great challenge to clinical management. In recent years, with the development of omics technologies, proteomics, metabolomics, transcriptomics, etc., have been widely used in the study of COPD, providing great help to discover new biomarkers and elucidate the complex mechanisms of COPD. In this review, we summarize the prognostic biomarkers of COPD based on proteomic studies in recent years and evaluate their association with COPD prognosis. Finally, we present the prospects and challenges of COPD prognostic-related studies. This review is expected to provide cutting-edge evidence in prognostic evaluation of clinical patients with COPD and to inform future proteomic studies on prognostic biomarkers of COPD.

Estimating Time to Progression of Chronic Obstructive Pulmonary Disease with Tolerance

Chronic Obstructive Pulmonary Disease (COPD) is a progressive respiratory disease that affects millions of people worldwide. Predicting the time to progression of COPD is critical for optimizing patient care and treatment planning. However, COPD progression is complex and multifactorial, and estimating time to progression accurately remains challenging. In this study, we propose a novel approach for estimating time to progression of COPD using a Random Forest model. Random Forest is an ensemble machine learning technique that combines multiple decision trees to make predictions. We incorporated the concept of tolerance into our model, which allows for variability in COPD progression rates among individuals. We utilized a dataset of COPD patients, including clinical and demographic variables, collected over a multi-year period. The dataset was divided into training and testing sets for model development and evaluation, respectively. The Random Forest model was trained on the training set using features such as age, gender, smoking history, lung function parameters, and comorbidities. The Random Forest model with tolerance outperformed traditional models in estimating time to progression of COPD. The tolerance concept allowed the model to account for inter-individual variability in COPD progression rates, which is a critical aspect of COPD prognosis. The model achieved high accuracy and robustness in predicting time to progression of COPD in the testing set, indicating its potential clinical utility. A novel approach for estimating time to progression of COPD using a Random Forest model with tolerance. This approach has the potential to improve the accuracy of COPD prognosis, leading to better patient care and treatment planning. Further validation studies are warranted to validate the clinical utility of our proposed model in diverse COPD populations.This project describes the pulmonary chronic disease detection and classification is done with different observing similar disease conditions or functional status from the upper to the lower boundaries of a specified time interval Different types of radiological report is analyzed for different radiologic reports disease detection and classification is done with different radiological reports The proposed model is compared with different machine learning models compared with different stages of COPD Chronic Obstructive Pulmonary Disease

Lung microbiome and cytokine profiles in different disease states of COPD: a cohort study

Increasing evidence indicates that respiratory tract microecological disorders may play a role in the pathogenesis of chronic obstructive pulmonary disease (COPD). Understanding the composition of the respiratory microbiome in COPD and its relevance to respiratory immunity will help develop microbiome-based diagnostic and therapeutic approaches. One hundred longitudinal sputum samples from 35 subjects with acute exacerbation of COPD (AECOPD) were analysed for respiratory bacterial microbiome using 16S ribosomal RNA amplicon sequencing technology, and the sputum supernatant was analysed for 12 cytokines using a Luminex liquid suspension chip. Unsupervised hierarchical clustering was employed to evaluate the existence of distinct microbial clusters. In AECOPD, the respiratory microbial diversity decreased, and the community composition changed significantly. The abundances of Haemophilus, Moraxella, Klebsiella, and Pseudomonas increased significantly. Significant positive correlations between the abundance of Pseudomonas and TNF-α, abundance of Klebsiella and the percentage of eosinophils were observed. Furthermore, COPD can be divided into four clusters based on the respiratory microbiome. AECOPD-related cluster was characterized by the enrichment of Pseudomonas and Haemophilus and a high level of TNF-α. Lactobacillus and Veillonella are enriched in therapy-related phenotypes and may play potential probiotic roles. There are two inflammatory endotypes in the stable state: Gemella is associated with the Th2 inflammatory endotypes, whereas Prevotella is associated with the Th17 inflammatory endotypes. Nevertheless, no differences in clinical manifestations were found between these two endotypes. The sputum microbiome is associated with the disease status of COPD, allowing us to distinguish different inflammatory endotypes. Targeted anti-inflammatory and anti-infective therapies may improve the long-term prognosis of COPD.

The Role of Multidimensional Indices for Mortality Prediction in Chronic Obstructive Pulmonary Disease

(1) Background: Chronic obstructive pulmonary disease (COPD) is one of the most important respiratory diseases. It is characterised by a progressive course with individual differences in clinical presentation and prognosis. The use of multidimensional indices such as the BODE, eBODE, BODEX, CODEX, ADO, and Charlson Comorbidity Index has been proposed to predict the survival rate of COPD patients. However, there is limited research on the prognostic significance of these indices in predicting long-term survival rates in patients with COPD. The aim of this prospective cohort study was to investigate the prognostic value of the BODE, eBODE, BODEX, CODEX, ADO, COTE and Charlson Comorbidity Index in predicting 5- and 10-year survival in patients with COPD. (2) Methods: A total of 170 patients were included in the study and their clinical and functional characteristics of COPD progression, such as dyspnoea, body mass index and spirometry data, were evaluated. A Kaplan-Meier survival analysis was used to calculate 5- and 10-year survival rates. The predictive value of each index was assessed using Cox proportional hazards regression models. (3) Results: The 5-year survival rate was 62.35% and the 10-year survival rate was 34.70%. The BODE, eBODE, BODEX, CODEX, ADO, COTE and Charlson Comorbidity Index were all significantly associated with the 10-year survival rate of COPD patients (p < 0.05). The hazard ratios (HRs) for these indices were as follows: BODE (HR = 1.30, 95% confidence interval [CI] 1.21-1.39); eBODE (HR = 1.29, 95% CI 1.21-1.37); BODEX (HR = 1.48, 95% CI 1.35-1.63); CODEX (HR = 1.42, 95% CI 1.31-1.54); COTE (HR = 1.55, 95% CI 1.36-1.75); ADO (HR = 1.41, 95% CI 1.29-1.54); and Charlson Comorbidity Index (HR = 1.35, 95% CI 1.22-1.48). (4) Conclusions: The multidimensional indices are a useful clinical tool for assessing the course and prognosis of COPD. These indices can be used to identify patients at a high risk of mortality and guide the management of COPD patients.

Interactions between the lung microbiome and host immunity in chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) is a common chronic respiratory disease and the third leading cause of death worldwide. Developments in next-generation sequencing technology have improved microbiome analysis, which is increasingly recognized as an important component of disease management. Similar to the gut, the lung is a biosphere containing billions of microbial communities. The lung microbiome plays an important role in regulating and maintaining the host immune system. The microbiome composition, metabolites of microorganisms, and the interactions between the lung microbiome and the host immunity profoundly affect the occurrence, development, treatment, and prognosis of COPD. In this review, we drew comparisons between the lung microbiome of healthy individuals and that of patients with COPD. Furthermore, we summarize the intrinsic interactions between the host and the overall lung microbiome, focusing on the underlying mechanisms linking the microbiome to the host innate and adaptive immune response pathways. Finally, we discuss the possibility of using the microbiome as a biomarker to determine the stage and prognosis of COPD and the feasibility of developing a novel, safe, and effective therapeutic target.

Prevalence of Anemia Among Chronic Obstructive Pulmonary Disease Patients and Identification of Diagnostic Markers Associated with the Disease

Background: A co-morbidity of chronic obstructive pulmonary disease (COPD) has been identified as ane-mia. Chronic obstructive pulmonary disease is now known to have systemic inflammation, making it a po-tential cause of chronic anemia (ACD). According to preliminary findings, anemia may be more common than predicted in COPD patients, occurring in 10% to 15% of cases. This study aims to investigate the prevalence of anemia in COPD patients and look for biomarkers linked to the disease. Methods: In a retrospective study conducted at a university hospital in Kwara state, Nigeria, 280 patients (166 men and 114 women) with spirometry-confirmed COPD were assessed for the incidence of anemia. The gene expression profiles of microarray data, including GSE148004, were acquired from the Gene Expression Omnibus (GEO) database to discover potential candidate key genes linked to the onset and prognosis of COPD. DAVID was used to examine the pathway enrichment analysis of the differentially expressed genes (DEGs) from the Kyoto Encyclopedia of Genes and Genomes (KEGG). Results: Anemia was found in 104 people (88 men and 16 women), providing a frequency of 37.1%. Addi-tionally, 57.1% of the patients developed acute exacerbations. There were 9458 DEGs overall, of which 3772 were up-regulated, and 5686 were down-regulated. In the current study, DEGs revealed that the NEDD9 gene was over-expressed in COPD patients. Conclusion: Patients with COPD typically experience anemia, which is linked to higher morbidity in hospi-tal admissions and exacerbations. These patients’ clinical outcomes may be improved by treating their ane-mia. A potential biological relationship between anemia and COPD is IL1R1..

Heated Tobacco Products and Chronic Obstructive Pulmonary Disease: A Narrative Review of Peer-Reviewed Publications

An estimated 65 million people worldwide have moderate or severe chronic obstructive pulmonary disease (COPD), an umbrella term used to describe a group of progressive lung diseases that obstruct airflow such as emphysema and chronic bronchitis. Smoking contributes to an estimated 90% of COPD cases, as the harmful chemicals produced during tobacco combustion damage the lungs and airways. Although smoking cessation is the only intervention shown to improve COPD prognosis in smokers, many patients who try to quit continue to smoke. The continued use of conventional cigarettes exacerbates COPD symptoms, and globally more than 3 million people die from the disease every year. The last two decades have seen the introduction of combustion-free nicotine delivery alternatives that produce significantly lower levels of the harmful components in cigarette smoke, and researchers have begun to assess the impact of switching from cigarettes to these products. Several studies have examined how patients with COPD use e-cigarettes as assistance for quitting, but few have examined how heated tobacco products (HTP) may reduce risk. This narrative review summarises results from pre-clinical, clinical, and real-world evidence studies showing possible harm reduction benefits for patients with COPD who switch to HTPs rather than continuing to smoke cigarettes. Epidemiological studies, real-world data analyses, and randomised clinical trials must be conducted to determine whether switching from cigarettes to HTPs can improve health outcomes in patients with COPD who would otherwise continue to smoke combustible cigarettes.

Exposure to occupational risk factors is associated with the severity and progression of chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) results from a complex interaction between genes and the environment, and occupational exposures are an underappreciated risk factor. Until now, little research attention has been paid to the potential impact of occupational risk factor exposure on the COPD in China. The aim of this retrospective study was to analyze the role of occupational risk factor exposure on the severity and progression of COPD for exploring new prevention strategies for this disease. This study adopted a random cluster-sampling method. Five grade-A tertiary hospitals that met the inclusion criteria were selected as the survey sites, and patients with COPD hospitalized in these hospitals from January 1, 2019, to December 31, 2019, were selected as the research subjects. Data of the patients diagnosed with COPD met the Global Initiative for Chronic Obstructive Lung Disease (2019) criteria and were collected from the computerized medical record databases. Among 4082 investigated COPD patients, 1063 (26%) were found to have occupational risk factor exposure history. The top 3 industries with a large COPD case number and a history of occupational risk factor exposure ranked in the order of agriculture (including farming, forestry, animal husbandry, and fishery), manufacturing, and mining. Further multivariate logistic regression analysis indicated that when setting a low exposure level as a reference, medium and high exposure levels were correlated with the severity of COPD (odds ratio values were 2.837 and 6.201, respectively, P < .05). Linear regression analysis showed that cumulative exposure to occupational risk factors was negatively correlated with the forced expiratory volume in 1-second percentage of COPD patients, with a correlation coefficient of 0.68. Our results indicated that occupational risk factor exposure levels were related to the severity of COPD significantly. The incubation period of COPD in the exposure group was significantly shorter than that in the non-exposure group. To prevent worked-related COPD, special attention and control efforts should be taken to reduce the level of occupational risk factors such as organic dust, irritating chemicals, etc in the work environments, especially in the industries of agriculture, forestry, animal husbandry and fishery, manufacturing, and mining.

The Role of Glucagon-Like Peptide-1 Receptor Agonists in Chronic Obstructive Pulmonary Disease.

Chronic obstructive pulmonary disease (COPD) is one of the common diseases of the respiratory system. As the disease recurs, damage to the airways and lung tissue gradually worsens, leading to a progressive decline in lung function, affecting the patient's workforce and quality of life, and causing a huge social and economic burden. Diabetes is a common comorbidity of COPD and patients with COPD are at increased risk of developing diabetes, while hyperglycemia can also reduce lung function and contribute to the progression and poor prognosis of COPD. Glucagon-like peptide-1 receptor agonist (GLP-1RA) is a new type of hypoglycemic agent that has been shown to regulate blood glucose levels, reduce inflammatory responses and oxidative stress, and regulate lipid metabolism, among other effects. GLP-1RAs may benefit COPD patients by acting directly on the lung from mechanisms such as reducing the inflammatory response, improving oxidative stress, regulating protease/anti-protease imbalance, improving airway mucus homeostasis, and reducing airway remodeling. This study provides a review of the potential role of GLP-1RAs in COPD and offers new ideas for the prevention and treatment of COPD.

Revisiting Skeletal Muscle Dysfunction and Exercise in Chronic Obstructive Pulmonary Disease: Emerging Significance of Myokines.

Skeletal muscle dysfunction (SMD) is the most significant extrapulmonary complication and an independent prognostic indicator in patients with chronic obstructive pulmonary disease (COPD). Myokines, such as interleukin (IL)-6, IL-15, myostatin, irisin, and insulin-like growth factor (IGF)-1, play important roles in skeletal muscle mitochondrial function, protein synthesis and breakdown balance, and regeneration of skeletal muscles in COPD. As the main component of pulmonary rehabilitation, exercise can improve muscle strength, muscle endurance, and exercise capacity in patients with COPD, as well as improve the prognosis of SMD and COPD by regulating the expression levels of myokines. The mechanisms by which exercise regulates myokine levels are related to microRNAs. IGF-1 expression is upregulated by decreasing the expression of miR-1 or miR-29b. Myostatin downregulation and irisin upregulation are associated with increased miR-27a expression and decreased miR-696 expression, respectively. These findings suggest that myokines are potential targets for the prevention and treatment of SMD in COPD. A comprehensive analysis of the role and regulatory mechanisms of myokines can facilitate the development of new exercise-based therapeutic approaches for patients with COPD.

Differential Expression of Serum Proteins in Chronic Obstructive Pulmonary Disease Assessed Using Label-Free Proteomics and Bioinformatics Analyses.

As a common respiratory disease, chronic obstructive pulmonary disease (COPD) has a high morbidity and mortality. Current clinical therapies are not ideal and do not improve lung function or long-term life quality. It is very important to find new potential pathogenic mechanisms, biomarkers, and targets with therapeutic value in COPD. Serum samples collected from acute exacerbation and stable COPD and healthy participants were analyzed using label-free liquid chromatography tandem mass spectrometry to identify the differentially expressed proteins (DEPs) between two groups. Bioinformatics analyses were performed to determine the biological processes associated with those DEPs. Key proteins were validated by enzyme linked immunosorbent assay (ELISA). In total, 661 proteins were detected in serum from patients with COPD and healthy participants. Compared with healthy participants, patients with acute exacerbation of COPD had 45 DEPs, 13 were upregulated and 32 were downregulated; and patients with stable COPD had 79 DEPs, 18 were upregulated and 61 were downregulated. Gene Ontology functional annotation results indicated that the DEPs identified in patients with COPD were associated with the terms cellular anatomical entity, binding, and cellular process. Kyoto Encyclopedia of Genes and Genomes functional annotation analysis and the Clusters of Orthologous Genes database analysis indicated that the functions of these DEPs were primarily in signal transduction mechanisms and amino acid transport and metabolism. The ELISA results for three key proteins of IGFBP2, LRG1 and TAGLN were consistent with the LC-MS/MS results and the area under the receiver operating characteristic of the combined index was 0.893 (95% CI: 0.813, 0.974). Our findings suggested pathogenic mechanisms underlying COPD stages and indicated three key proteins that may warrant further study as potential biomarkers for early diagnosis or prognosis of COPD or as therapeutic targets.

Integrative weighted molecular network construction from transcriptomics and genome wide association data to identify shared genetic biomarkers for COPD and lung cancer.

Chronic obstructive pulmonary disease (COPD) is a multifactorial progressive airflow obstruction in the lungs, accounting for high morbidity and mortality across the world. This study aims to identify potential COPD blood-based biomarkers by analyzing the dysregulated gene expression patterns in blood and lung tissues with the help of robust computational approaches. The microarray gene expression datasets from blood (136 COPD and 6 controls) and lung tissues (16 COPD and 19 controls) were analyzed to detect shared differentially expressed genes (DEGs). Then these DEGs were used to construct COPD protein network-clusters and functionally enrich them against gene ontology annotation terms. The hub genes in the COPD network clusters were then queried in GWAS catalog and in several cancer expression databases to explore their pathogenic roles in lung cancers. The comparison of blood and lung tissue datasets revealed 63 shared DEGs. Of these DEGs, 12 COPD hub gene-network clusters (SREK1, TMEM67, IRAK2, MECOM, ASB4, C1QTNF2, CDC42BPA, DPF3, DET1, CCDC74B, KHK, and DDX3Y) connected to dysregulations of protein degradation, inflammatory cytokine production, airway remodeling, and immune cell activity were prioritized with the help of protein interactome and functional enrichment analysis. Interestingly, IRAK2 and MECOM hub genes from these COPD network clusters are known for their involvement in different pulmonary diseases. Additional COPD hub genes like SREK1, TMEM67, CDC42BPA, DPF3, and ASB4 were identified as prognostic markers in lung cancer, which is reported in 1% of COPD patients. This study identified 12 gene network- clusters as potential blood based genetic biomarkers for COPD diagnosis and prognosis.

Comparative Study on Soluble Urokinase-Type Plasminogen Activator Receptor (Supar) and C-Reactive Protein (Crp) Levels in Stable Chronic Obstructive Pulmonary Disease.

Background and objective: Chronic obstructive pulmonary disease (COPD) is characterized by a progressive and irreversible airflow limitation. In COPD, the initial low-grade pulmonary inflammation slowly progress to systemic inflammation which is usually confirmed by non-specific inflammatory biomarker like C-reactive protein (CRP). However, the disease progress can be diagnosed at the early stage of pulmonary inflammation by using a novel biomarker, like Soluble urokinase-type plasminogen activator receptor (suPAR) released from the respiratory epithelium in COPD. The objective of this study was to compare the serum levels of suPAR and CRP in stable COPD and to assess the progress of low-grade pulmonary inflammation in COPD. Methods: Stable COPD [SCOPD] study participants (male-35; female-15) and healthy controls (male-38; female-12) were recruited for the study after obtaining informed consent. Based on post-bronchodilator FEV1% predicted values as specified by GOLD criteria, SCOPD study participants were graded into grades I-IV. Serum suPAR and CRP assays were done for all the study participants. Results: The level of suPAR among SCOPD grades I-IV (4.03±0.40 ng/ml; 5.16 ±0.26 ng/ml; 5.82±0.17ng/ml; 6.39±0.07ng/ml respectively) were high compared to healthy control (1.84±0.90ng/ml) and was statistically significant. The level of CRP among SCOPD grade I-IV (3.30±0.13 ng/ml; 3.60 ±0.09 ng/ml; 3.91±0.12ng/ml; 4.41±0.10 ng/ml respectively) were high compared to healthy control (1.63±0.77ng/ml) and was statistically significant.. Conclusion: Our study indicated that serum suPAR and CRP may play an important role in the inflammatory process of COPD particularly in grades III and IV SCOPD. Hence, serum suPAR and CRP measurements may be useful for the evaluation and prognosis of stable COPD.