Airway inflammation in COPD: progress to precision medicine

The potential role of the anterior insular cortex and interoception on dyspnea in chronic obstructive pulmonary disease

Dyspnea (the perception of breathing discomfort) can be an immensely debilitating symptom for people with chronic obstructive pulmonary disease (COPD) and is not fully reflective of physiological measures of disease severity. We propose that the anterior insular cortex (AIC) and its key role in interoception (the perception of signals from within the body) are important mediators of dyspnea symptomology. Interoception encompasses respiratory motor drive, corollary discharge, sensory afferents, central neural integration, error signal generation, gating, decision processing and behavioral adaptation. Neuroimaging evidence supports this notion as decreased AIC activity in people with COPD is associated with heightened dyspnea, and respiratory interoceptive attention tasks have been shown to increase activation in this area of the brain. Therefore, activity in the AIC within the interoceptive processing pathway may explain some of the variability in symptom burden in people living with COPD. We explore these theories in the context of the current knowledge on the physiology and neuroscience of dyspnea, drawing on the implementation of interoceptive measures in other respiratory and mental health conditions. Given the evidence that the AIC has a key role in interoception and is a likely mediator within dyspnea symptomology, advances in our understanding of the role of interoceptive processing on symptom burden in people living with COPD, as well as appropriate methods to measure and treat it, should be research priorities.

Morus alba L.-Glycyrrhiza uralensis alleviate chronic obstructive pulmonary disease by inhibiting the arachidonic acid metabolism pathway

ETHNOPHARMACOLOGICAL RELEVANCE

The compatibility of natural herbs has been gradually recognized for its efficacy and safety in treating lung diseases. Morus alba L. root bark (MRB) and Glycyrrhiza uralensis (Licorice) are traditional Chinese medicines (TCM) with a long history of use. They are often combined to treat chronic obstructive pulmonary disease (COPD). However, the optimal ratio for combining MRB and licorice and the underlying mechanism of this combination in the treatment of COPD need to be further clarified.

AIM OF THE STUDY

To determine the optimal compatibility dose relationship of MRB-Licorice in the current prescriptions and investigate its potential mechanism in the treatment of COPD.

MATERIALS AND METHODS

We collected the published clinical intervention literature and TCM prescription databases related to COPD treatment. R software (3.3.1) was used to analyze the frequency of medicine use, properties, combination methods, and to explore the core drug combinations in COPD treatment. A rat model of COPD was established through smoke inhalation and airway Lipopolysaccharide (LPS) instillation to evaluate the compatible dosage and effectiveness of the MRB-Licorice combination. Respiratory function, pathological morphology of lung tissue, and the expression of inflammatory factor were observed in rats to assess the effect of core combination of drugs in treating COPD. Subsequently, network pharmacology was constructed to predict the targets of core drugs for COPD treatment. Liquid chromatography-mass spectrometry was used to study plasma metabolomics and explore the regulatory effect of the core Chinese medicines on metabolites. A joint analysis of predicted targets and differential metabolites was conducted using MetaboAnalyst to identify critical metabolites and metabolic pathways. Additionally, intersection genes from human and rat Gene Expression Omnibus (GEO) datasets were analyzed. Finally, ELISA validation was conducted on key metabolic enzymes and genes.

RESULTS

MRB-Licorice exhibit the core Chinese herbal medicine compatibility for COPD treatment. MRB-Licorice improved respiratory function and lung histopathology, and reduced the expression of IL-1β, TNF-α, and MUC5AC proteins in COPD rats. Furthermore, significant differences were observed across different dosages, with the MRB-Licorice 2:1 group showing better therapeutic effects on COPD rats. In network pharmacology, 80 compounds from MRB-Licorice modulated 112 targets and acted by regulating pathways like glutathione metabolism and arachidonic acid (AA) metabolism. Metabolomics analysis showed that MRB-Licorice regulated 13 differential metabolites, and accordingly, regulated pathways, such as AA metabolism and arginine biosynthesis. Co-analysis of the 112 targets and 13 metabolites revealed that leukotriene B4 (LTB4) was the key differential metabolite, and AA metabolism was the key metabolic pathway. Arachidonic acid 5-lipoxygenase (ALOX5) and leukotriene A4 hydrolase (LTA4H) were identified as key genes through a joint analysis of the intersection genes from human and rat GEO datasets, key metabolic pathway genes, and core drug genes. Based on these results, we further verified MRB-Licorice reduced the levels of ALOX5, LTA4H, and LTB4 in the plasma of COPD rats.

CONCLUSION

The MRB-Licorice 2:1 treatment was more effective in alleviating inflammation and mucus secretion in COPD rats, probably via the regulation of AA metabolism.

Transcriptomic profiling of the airway epithelium in COPD links airway eosinophilia to type 2 inflammation and corticosteroid response

BACKGROUND

A subset of COPD patients have high levels of eosinophils in the distal airways ("airway eosinophilia").

OBJECTIVES

To compare the gene expression of type 2 inflammation in airway epithelial brushings of COPD patients with and without airway eosinophilia and to investigate the changes after inhaled corticosteroids (ICS).

METHODS

Post hoc analyses of the DISARM randomised controlled trial investigated the expression of airway inflammation (type 1, 2 and 17), interleukin (IL)-13 and mast cell gene signatures at baseline and after 12-week ICS treatment. Gene signatures were generated from RNA sequencing of airway epithelial brushings. Airway eosinophilia was defined as eosinophils >1% of the total leukocyte count in bronchoalveolar lavage. Gene set enrichment analyses identified upregulated canonical pathways in airway eosinophilia.

RESULTS

Among 58 COPD patients, 38% had airway eosinophilia at baseline. Patients with airway eosinophilia had more severe airflow obstruction and more radiographic emphysema than the non-eosinophilia group. Patients with airway eosinophilia showed a higher epithelial expression of type 2 airway inflammation and IL-13 and mast cell activation at baseline, but the expression of type 1 and type 17 airway inflammation was similar to patients without airway eosinophilia. The airway eosinophilia group showed an upregulation of canonical pathways related to type 2 immune response and asthma. Treatment with ICS for 12 weeks reduced the epithelial expression of type 2 inflammation and mast cell gene signatures in patients with airway eosinophilia, while this change was not significant in patients without airway eosinophilia.

CONCLUSIONS

Airway eosinophilia marks a subset of COPD patients with increased airway epithelial expression of type 2 inflammation and a response to ICS treatment.

Rosmarinic acid suppresses the progression of COPD via Syk by modulating airway inflammation and epithelial apoptosis in vivo and in vitro

Rosmarinic acid (RosA), a hydrophilic phenolic compound found in various plants, has several biological effects such as anti-inflammatory and anti-apoptosis activities. However, its potential impact on chronic obstructive pulmonary disease (COPD) and its underlying mechanism has not been investigated. In this study, we explored the potential therapeutic effects and mechanism of RosA on COPD airway inflammation and alveolar epithelial apoptosis in vivo and in vitro. Our data suggested that RosA may be a therapeutic candidate for COPD with low toxicity. The corresponding mechanism lies in its anti-inflammatory effect on macrophage and bronchial epithelial cells, as well as protective effect on lung epithelial apoptosis via the jointly cross-target spleen tyrosine kinase (Syk).

Role of Monoclonal Antibodies in the Management of Eosinophilic Chronic Obstructive Pulmonary Disease: A Meta-analysis of Randomized Controlled Trials

Rationale: Chronic obstructive pulmonary disease (COPD) remains a leading cause of morbidity and mortality worldwide. Acute exacerbations are associated with progressive decline in lung function and quality of life. After recognition of the role of type 2 inflammation in the pathogenesis of eosinophilic COPD, there was increased interest in studying monoclonal antibodies as a therapeutic agent. Multiple randomized controlled trials showed promising results, yet no consensus exists. Objectives: Our study aims to summarize the current evidence regarding the role of monoclonal antibodies in the management of patients with eosinophilic COPD. Methods: We systematically searched multiple databases using prespecified search terms. We included only randomized controlled trials that compared monoclonal antibodies versus placebo in patients with objective evidence of eosinophilic COPD receiving standard-of-care therapy. The primary outcome of interest was the annualized rate of COPD exacerbation. Absolute changes in forced expiratory volume in 1 second and St. George's Respiratory Questionnaire scores were secondary outcomes. We also reported serious adverse effects and all-cause mortality. Statistical analysis was conducted via random effects model using RevMan software. Results: We identified and included eight double blinded, placebo-controlled trials with a total of 4,512 patients and a median follow up of 52 weeks. The patients' mean age was 65 ± 8 years, with 85% male. Seventy percent of patients were former smokers, with a mean of 43 ± 25 pack-years of smoking history. The majority of patients were receiving triple inhaled therapy. The mean serum eosinophil count at enrollment was 398 ± 297 cells/μl. The monoclonal antibodies studied were dupilumab, mepolizumab, benralizumab, astegolimab, and itepekimab. Compared with placebo, patients who received monoclonal antibodies had a significantly decreased annualized COPD exacerbation rate (rate ratio, 0.79; 95% confidence interval [CI], 0.73-0.86; P < 0.001). The serious adverse effect rate was significantly lower in the monoclonal antibody arm compared with placebo (odds ratio, 0.80; 95% CI, 0.69-0.93; P = 0.004). The all-cause mortality rates were not statistically different between the groups (odds ratio, 0.91; 95% CI, 0.63-1.3; P = 0.6). Dupilumab showed a trend of improved efficacy over mepolizumab and benralizumab. Conclusions: In patients with eosinophilic COPD receiving standard-of-care therapy, the use of monoclonal antibodies led to a significant reduction in annualized COPD exacerbation rate compared with placebo. Monoclonal antibodies have an acceptable tolerability and safety profile.

The Emerging Role of Alarmin-Targeting Biologics in the Treatment of Patients With COPD

TOPIC IMPORTANCE

COPD is a complex, heterogeneous lung disease characterized by persistent airflow limitation secondary to airways and parenchymal abnormalities, and respiratory symptoms, including dyspnea, fatigue, chronic cough, and sputum production. Cigarette smoke exposure is a major contributor to COPD; however, inhalation of toxic particles and other environmental and host factors can contribute to its genesis. Over time, the clinical course is frequently punctuated by exacerbations that further accelerate lung function decline and increase exacerbation risk. Despite current optimal therapy, many patients remain symptomatic, have exacerbations, and have increased morbidity, mortality, and health care costs. This review focuses on current knowledge of COPD pathophysiology, the role of inflammatory mechanisms, and the potential use of biologics to modulate these mechanisms.

REVIEW FINDINGS

The inflammatory response in COPD includes both type 1 and type 2 immune cells. Type 2 inflammation is suggested by eosinophilia in a significant proportion of patients with COPD. Studies targeting IL-5 in patients with COPD have failed to demonstrate significant reductions in exacerbations, suggesting that eosinophil modulation alone may be insufficient to treat COPD. Based on a better understanding of the disease and role of alarmins, with a broader role in the inflammatory cascade, it is likely that some biologics may benefit certain COPD endotypes. Ongoing trials will provide information about which groups can benefit from the blocking of specific pathways (eg, IL-5, IL-4/IL-13, IL-33, thymic stromal lymphopoietin).

SUMMARY

Biologics targeting inflammatory pathways may be effective treatments for specific patients with COPD.

COPD risk due to extreme temperature exposure: combining epidemiological evidence with pathophysiological mechanisms

Climate change is amplifying the frequency and intensity of extreme temperature events, posing a significant risk for chronic obstructive pulmonary disease (COPD). This review synthesised epidemiological evidence linking extreme temperature to COPD morbidity and mortality, while elucidating synergistic interactions with other environmental exposures. Combining population-level findings with biomedical mechanistic insights, we proposed a framework illustrating how biomarkers bridge the gap between extreme temperature exposure and COPD, highlighting the pathophysiological mechanisms of prodromal symptoms, key pathogenic processes and early molecular events. The mechanisms and biomarkers identified in this study would provide critical information for elucidating the causal pathways through which extreme temperatures increase COPD risk, and thus inform preventive interventions. Future research should incorporate multi-omics techniques to explore the underlying mechanisms in greater depth, while validating the biomarkers through large-scale cohort studies.

Predictive value of neutrophil-lymphocyte ratio for all-cause mortality in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis

BACKGROUND

Chronic obstructive pulmonary disease (COPD) involves inflammation as a key factor influencing its pathology and progression. This meta-analysis sought to assess the prognostic importance of the neutrophil-to-lymphocyte ratio (NLR) in individuals diagnosed with COPD.

METHODS

Comprehensive searches were carried out in PubMed, Embase, Web of Science, and the Cochrane Library up to March 2025. All-cause mortality-related data were collected and analyzed. Outcomes were evaluated using odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

Following a thorough review of the literature and a rigorous screening process, a total of 24 studies including 18,597 patients were selected for this meta-analysis. The cut-off range of NLR in all included literatures was 1.3 to 16.83. Analysis of categorical variables showed that COPD patients with elevated NLR levels faced a significantly higher all-cause mortality risk compared to those with lower NLR levels (OR: 1.03, 95% CI: 1.01-1.06, P = 0.009, I² = 89%). For continuous variables, deceased COPD patients exhibited significantly elevated NLR levels compared to survivors (SMD: 1.23, 95% CI: 0.90-1.57, P < 0.00001, I² = 97%). The subgroup analysis highlighted study design and the timing of NLR measurement as potential contributors to heterogeneity. Subgroup analysis showed that NLR had a better predictive value for disease in AECOPD subgroups.

CONCLUSION

This meta-analysis demonstrates a correlation between increased NLR levels and heightened all-cause mortality risk in COPD patients. Nevertheless, given the inherent limitations of this study, additional multi-center, prospective clinical trials are essential to confirm these findings.

Krebs von den Lungen-6 (KL-6) as a diagnostic and prognostic biomarker for non-neoplastic lung diseases

Important advancements have been made in understanding the pathogenetic mechanisms underlying acute and chronic lung disorders. But although a wide variety of innovative biomarkers have and are being investigated, they are not largely employed to evaluate non-neoplastic lung diseases. The current work aims to examine the use of Krebs von den Lungen-6 (KL-6), a mucin-like glycoprotein predominantly expressed on the surface of type II alveolar epithelial cells (AEC2s), to evaluate the stage, response to treatment, and prognosis in patients with non-neoplastic lung disorders. Data analysis suggests that KL-6 can be utilized as an effective diagnostic and prognostic biomarker in individuals with interstitial lung disease and as a predictor of clinical outcomes in subjects with SARS-CoV-2-related pneumonia. Moreover, KL-6 can be reliably used in routine clinical settings to diagnose and predict the outcome of patients with chronic obstructive pulmonary disease (COPD) exacerbation. The optimal cut-off points within the European population should be defined to improve KL-6's diagnostic efficacy.

The Clinical significance of Peripheral Blood-related Inflammatory Markers in patients with AECOPD

OBJECTIVE

Peripheral blood-related inflammatory markers, including systemic immune inflammation index (SII), inflammatory response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR), have received increasing clinical attention over the years. This study aims to investigate the clinical significance of peripheral blood-related inflammatory markers in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). We hope that this study will provide guidance for clinical individualized treatment and management of AECOPD patients.

METHODS

A total of 254 patients with AECOPD admitted between January 2021 and December 2022 were enrolled in this study and categorized into mild and moderate-to-severe groups. Univariate analysis, Spearman correlation analysis, and receiver operating characteristic curve (ROC) were performed to study the clinical value of peripheral blood-related inflammatory markers. Then, the relationship between the peripheral blood-related inflammatory markers and the risk of readmission owing to acute exacerbation during the first year after discharge was further studied through survival analysis and multivariate Cox regression.

RESULTS

The levels of peripheral blood-related inflammatory markers in patients with moderate-to-severe AECOPD were significantly higher than patients in the mild group, and the levels of peripheral blood-related inflammatory markers are positively correlated with the severity of disease. The highest diagnostic accuracy for moderate-to-severe AECOPD was achieved by combining five indexes, with a cut-off value of 0.38 and an AUC of 0.837 (95 % CI: 0.789-0.885). Higher levels of peripheral blood-related inflammatory markers may indicate a higher risk of readmission within one year of hospital discharge in patients with AECOPD, and SII (HR = 3.478, P < 0.001) was an independent risk factor. Besides, higher levels of peripheral blood-related inflammatory markers also suggest impaired pulmonary ventilation function and enlarged right ventricular diameter.

CONCLUSIONS

Peripheral blood-related inflammatory markers (SII, SIRI, NLR, PLR, MLR) can serve as a reference for identifying patients with moderate-to-severe AECOPD. Patients with higher levels of peripheral blood-related inflammatory markers are more susceptible to experiencing acute exacerbation and readmission events within one year after hospital discharge. Peripheral blood-related inflammatory markers can assist clinicians in evaluating the condition and predicting the risk of readmission in patients with AECOPD more scientifically and objectively.

The role and clinical significance of myeloperoxidase (MPO) and TNF-α in prognostic evaluation of T-COPD

PURPOSE

Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory disorder that requires effective biomarkers for assessing disease activity and severity. This study aimed to compare clinical characteristics, inflammatory biomarker levels, and pulmonary function between stable COPD (S-COPD) and treated COPD (T-COPD) patients, with a focus on the prognostic value of inflammatory markers such as TNF-α, MPO, and IL-6.

METHODS

A total of 81 patients were enrolled in the study, including 39 with stable COPD (S-COPD) and 42 with treated COPD (T-COPD). Clinical characteristics, lung function (measured by FEV1%), and inflammatory biomarkers (IL-6, MMP-9, SAA, MPO, TNF-α, and others) were assessed. Inflammatory biomarkers were compared between the two groups, and their associations with pulmonary function were examined using correlation and regression analyses. Prognostic value was assessed using ROC curve analysis.

RESULTS

The T-COPD group exhibited significantly more severe disease, with higher rates of exacerbations, worse quality of life (CAT and mMRC scores), and reduced lung function (FEV1%, 6-minute walk distance). Inflammatory biomarker analysis revealed no significant differences for IL-6, MMP-9, SAA, RDW, LCN2, PLR, and NLR, but TNF-α and MPO were significantly higher in T-COPD patients (P = 0.015 and P = 0.012, respectively). Among these biomarkers, MPO and TNF-α showed strong negative correlations with FEV1% in T-COPD patients (r = -0.521 and r = -0.459, respectively). ROC curve analysis indicated that TNF-α (AUC = 0.821) was the most predictive biomarker, followed by MPO (AUC = 0.785) and IL-6 (AUC = 0.711). Combining TNF-α and MPO provided the best prognostic performance (AUC = 0.878).

CONCLUSION

TNF-α, MPO, and IL-6 are significant biomarkers associated with disease severity and pulmonary function in T-COPD patients. The combination of TNF-α and MPO offers superior prognostic value, suggesting that these biomarkers may serve as useful tools for monitoring disease progression and guiding treatment decisions in treated COPD patients.

Exploring the comorbidity association and biological mechanisms of chronic rhinosinusitis and chronic obstructive pulmonary disease

Although chronic rhinosinusitis (CRS) and chronic obstructive pulmonary disease (COPD) are both common chronic inflammatory diseases, the interaction between their comorbidities remains poorly understood within the unified airway disease framework. This study, for the first time, integrated multi-omics analysis and large-scale epidemiological data to explore their common mechanisms and clinical significance. The NHANES database was used for analysis, and multivariate logistic regression was employed to assess the comorbidity risk of CRS and COPD. Machine-learning models (glmnet, ranger, and xgboost) were used to analyze the NHANES data to determine the best model. Subsequently, Mendelian randomization(MR) was applied to explore relevant associations. Additionally, CRS and COPD datasets from GEO were further analyzed to identify potential targets. The NHANES analysis showed a significant association between CRS and COPD, with MR results indicating that CRS significantly increased the risk of COPD. Multi-omics integration revealed that C3 and CD163 are core targets in CRS/COPD patients. The ranger model was identified as the most suitable in this study. This study provides new evidence that CRS is an independent risk factor for COPD and establishes a unified airway mechanism centered on C3-CD163-mediated inflammation. These findings advance the "one airway, one disease" paradigm and support a dual-target therapeutic strategy.

Based exploration of the diagnostic value of oxidative stress-related key genes in chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) ranks as the third most common contributor to global mortality. Oxidative stress has been recognized as a critical driver of multiple interacting mechanisms in COPD development. This research investigated the potential of oxidative stress-related genes (OSRGs) biomarkers and their potential molecular mechanisms for COPD clinical diagnosis and treatment through bioinformatics analyses. As a result, 5 hub genes, CA3, PPP1R15B, MAPT, MMP9, and ECT2, were yielded by LASSO, Boruta, and SVM-RFE, and the performance of the nomogram constructed based on hub genes was favorable. Correlation analyses between hub genes and oxidative stress biomarkers showed that MMP9 and MAPT genes had a high association with oxidative stress biomarkers. Immune cell infiltration identified follicular helper T cells, Γδ T cells, M0 macrophages, and CD8 T cells as significantly different in COPD. ROC of ECT2 and MMP9 showed a higher capability to discriminate COPD patients from normal samples. In addition, we collected clinical samples and analyzed the core gene expression, which revealed that the hub genes ECT2 and MMP9 had high discriminatory ability in the COPD samples. The epistasis of ECT2 and MMP9 was further verified by constructing animal models, pathological sections, qPCR, immunoblotting, immunohistochemistry, etc. The data indicated the crucial function of MMP9 in CSC-induced oxidative stress injury. Deprivation of MMP9 attenuated CSC-induced injury and promoted macrophage polarisation to M2 macrophages. MMP9 deprivation protected against CSC-induced injury, mainly related to the reduction of cell apoptosis, cell inflammation, and ROS injury in BEAS-2B. It promoted macrophage polarization from M1 to M2. In summary, we found ECT2 and MMP9 are related to oxidative stress in COPD, and MMP9 was related to cell apoptosis, cell inflammation, and ROS injury in BEAS-2B, and the macrophage polarization from M1 to M2.

Impact of smoking on gut microbiota and short-chain fatty acids in human and mice: Implications for COPD

We aimed to elucidate the dynamic changes in short-chain fatty acids (SCFA) produced by the gut microbiota following smoking exposure and their role in chronic obstructive pulmonary disease (COPD) pathogenesis. SCFA concentrations were measured in human plasma, comparing non-smokers (n = 6) and smokers (n = 12). Using a mouse COPD model induced by cigarette smoke exposure or elastase-induced emphysema, we modulated SCFA levels through dietary interventions and antibiotics to evaluate their effects on inflammation and alveolar destruction. Human smokers showed lower plasma SCFA concentrations than non-smokers, with plasma propionic acid positively correlating with forced expiratory volume in 1 s/forced vital capacity. Three-month smoking-exposed mice demonstrated altered gut microbiota and significantly reduced fecal SCFA concentrations compared to air-exposed controls. In these mice, a high-fiber diet increased fecal SCFAs and mitigated inflammation and alveolar destruction, while antibiotics decreased fecal SCFAs and exacerbated disease features. However, in the elastase-induced model, fecal SCFA concentration remained unchanged, and high-fiber diet or antibiotic interventions had no significant effect. These findings suggest that smoking exposure alters gut microbiota and SCFA production through its systemic effects. The anti-inflammatory properties of SCFAs may play a role in COPD pathogenesis, highlighting their potential as therapeutic targets.

Prognostic role of blood eosinophils in acute exacerbations of chronic obstructive pulmonary disease: systematic review and meta-analysis

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a major cause of hospitalization and mortality worldwide. While blood eosinophils have been suggested as a prognostic biomarker of COPD, their predictive value in AECOPD remains uncertain. This meta-analysis aims to evaluate the prognostic role of blood eosinophil counts in predicting mortality and hospital readmission in these patients. A systematic review and meta-analysis were conducted according to PRISMA guidelines. We included studies that evaluated the prognostic role of blood eosinophils in AECOPD, with predefined cut-offs. Data on mortality and readmission rates were extracted, and statistical analyses were performed to assess sensitivity, specificity, and likelihood ratios. A total of 14 studies with 23,625 patients were included. High blood eosinophil counts during AECOPD hospitalization had low sensitivity (28.1%) and specificity (66.2%) in predicting 12-month mortality and readmission. Positive and negative likelihood ratios were also suboptimal, with values of 0.8 and 1.1, respectively. Sensitivity analyses, including only high-quality studies, confirmed these findings. The results suggest that blood eosinophil counts have limited prognostic value in predicting mortality and readmission in AECOPD patients. The variability in eosinophil cut-offs and lack of consistent data across studies contribute to this limitation. Further large-scale prospective studies are needed to clarify the role of eosinophils as a prognostic marker in AECOPD. Consequently, routine measurement of blood eosinophils during acute exacerbations may not be warranted for prognostic purposes.

Monoclonal Antibodies for the Treatment of Chronic Obstructive Pulmonary Disease

Chronic obstructive pulmonary disease (COPD) is a common and complex disease characterized by persistent airflow limitation and the presence of exacerbations, resulting in significant morbidity and mortality. Although the pathogenesis of COPD is multifactorial, airway inflammation plays a significant role in disease progression. Despite the advantages of non-pharmaceutical and pharmaceutical interventions that have significantly improved the symptom burden and exacerbation frequency in COPD, there is a lack of disease-modifying therapies that target the underlying disease mechanisms. Monoclonal antibodies (mAbs), a drug class that has improved treatment in severe asthma by blocking mediators of the type 2 (Th2) and allergic inflammatory cascades, are currently under investigation for their efficacy in COPD. Our review summarizes the evidence for the use of monoclonal antibodies in COPD and discusses current limitations and promising advances. Although targeting Th1 inflammation has failed to improve COPD outcomes, recent clinical trials have shown beneficial effects of monoclonal antibodies targeting Th2 inflammation, providing evidence for a personalized approach in COPD treatment.

Predictive Value of the Neutrophil-to-Lymphocyte Ratio/Serum Albumin for All-Cause Mortality in Critically Ill Patients Suffering from COPD

Background

Among critically ill patients, chronic obstructive pulmonary disease (COPD) is an independent risk factor for death. Recently, biomarkers such as neutrophil-lymphocyte ratio (NLR) and albumin (ALB) have been used to predict the prognosis in patients with COPD. However, the association between NLR/ALB and all-cause mortality in critically ill COPD patients remains unclear. This study aims to explore the association between the NLR/ALB and prognosis in critically ill patients with COPD.

Methods

Data was sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Primary outcome was 28-day all-cause mortality, with secondary outcomes being in-hospital and 90-day all-cause mortality. The area under the receiver operating characteristic curve (AUROC) was calculated to compare prognostic accuracy of NLR, NLR/ALB, PLR, SII and MLR variables. After identifying the most predictive factor, KM survival curves, Cox models and subgroup analyses were used to examine NLR/ALB's relationship with mortality in critically ill COPD patients. Additionally, patients with COPD from the National Health and Nutrition Examination Survey data (1999-2018) was used with Cox regression to investigate NLR/ALB's correlation with all-cause mortality in COPD patients.

Results

1916 critically ill COPD patients from MIMIC IV, divided into quartiles by NLR/ALB levels: Q1 (NLR/ALB<1.108), Q2 (2.095>NLR/ALB≥1.108), Q3 (4.221>NLR/ALB≥2.095), Q4 (NLR/ALB≥4.221). In multivariate Cox regression, Q4 vs Q1: 28-day mortality HR=2.27 (95% CI: 1.63-3.16); 90-day mortality HR=2.06 (95% CI: 1.56-2.71); in-hospital mortality HR=1.93 (95% CI: 1.35-2.77); P<0.001. Subgroup analyses showed that the correlation between NLR/ALB and 28-day mortality was stable Additionally, we recruited 2,003 COPD patients from the NHANES that found NLR/ALB also correlated with all-cause mortality in COPD (In multivariate Cox regression: Q4 vs Q1 hR=1.92 (95% CI: 1.45-2.55, P<0.001)).

Conclusion

Elevated NLR/ALB levels are associated with increased all-cause mortality in critically ill patients with COPD.

Effective-Component Compatibility of Bufei Yishen Formula (ECC-BYF) III Inhibits Mucus Hypersecretion by BEAS-2B Cells via miR-146a-5p-Mediated Regulation of the EGFR/MEK/ERK Pathway

Purpose

To explore the role of the miR-146a-5p-mediated regulation of the EGFR/MEK/ERK pathway in the effect of effective-component compatibility of Bufei Yishen Formula III (ECC-BYF III) on ameliorating mucus hypersecretion by bronchial epithelial cells (BEAS-2B cells).

Methods

BEAS-2B cells exposed to cigarette smoke extract (CSE) were used to establish a mucus hypersecretion model of BEAS-2B cells. The optimal intervention concentration of ECC-BYF III was screened by CCK-8, qRT-PCR and ELISA, the effects of ECC-BYF III on MUC5AC, MUC5B, IL-4, IL-8, TNF-α, IL-1α, miR-146a-5p and EGFR/MEK/ERK pathway expression were assessed. Furthermore, dual luciferase reporter gene was used to verify the relationship between miR-146a-5p and EGFR/MEK/ERK, and to observe the effect of down-regulating miR-146a-5p on ECC-BYF III ameliorating mucus hypersecretion and EGFR/MEK/ERK pathway.

Results

ECC-BYF III reduced the expression of MUC5AC and MUC5B, decreased the mRNA expression of IL-1α, IL-8 and TNF-α, increased the mRNA expression of IL-4, and decreased the protein expression of TNF-α. Moreover, ECC-BYF III ameliorated CSE induced mucus hypersecretion in BEAS-2B cells through EGFR/MEK/ERK pathway. Finally, our results indicated that ECC-BYF III ameliorated the model by targeting miR-146a-5p and downregulating the EGFR/MEK/ERK pathway.

Conclusion

ECC-BYF III can ameliorate CSE induced mucus hypersecretion by BEAS-2B cells and reduce the inflammatory response. The underlying mechanism may be related to the regulation of miR-146a-5p and the EGFR/MEK/ERK pathway. ECC-BYF III can inhibit activation of the EGFR/MEK/ERK pathway by upregulating the expression of miR-146a-5p, thereby ameliorating mucus hypersecretion by BEAS-2B cells.

Relationship between systemic immune response index (SIRI) and COPD: a cross-sectional study based on NHANES 2007-2012

Although the link between inflammation and chronic obstructive pulmonary disease (COPD) is increasingly recognized, the correlation between systemic immune response index (SIRI), a novel marker of inflammation, and COPD is unknown. This cross-sectional study used data from patients with complete lung function in NHANES 2007-2012 to explore the relationship between SIRI and COPD. We performed a series of statistical analyses on a total of 5056 participants, including multiple linear regression, smoothed curve fitting, ROC curve analysis, and subgroup analysis. In the fully corrected model, the logistic multiple regression showed that SIRI was associated with a high risk of COPD (OR1.350, 95% CI:1.220,1.493). The ROC curve showed that SIRI (AUC = 0.596) was significantly more efficient than other inflammatory factors in predicting COPD. Smoothed curve fit effect and threshold effect analyses showed a linear correlation between SIRI COPD prevalence, and subgroup analyses showed that the effect of SIRI on COPD was more pronounced in still smokers (OR 1.58, 95% CI: 1.34, 1.86) versus men (OR 1.62, 95% CI: 1.44, 1.83). The results of the interaction test provide evidence supporting SIRI as an independent risk factor for COPD.

Pharmacogenetic Factors Shaping Treatment Outcomes in Chronic Obstructive Pulmonary Disease

Chronic Obstructive Pulmonary Disease (COPD) manifests as a genetically diverse and intricate lung condition with various subtypes. The development of the disease and response to treatment are influenced by the interplay between genetic and environmental factors. The predominant therapeutic approaches include bronchodilator therapy and corticosteroid treatment. Studies in COPD pharmacogenetics involve genome-wide association (GWA) studies, gene profiling, whole-genome sequencing, and other omics-based investigations. Many of these investigations have focused on the association between genetic variations and the response to β2 agonist treatment. Additionally, several studies have explored the impact of gene variations on the response to inhaled corticosteroid (ICS) treatment, with a specific focus on polymorphisms in the glucocorticoid receptor (GR) signaling pathway. However, a significant challenge lies in the inconclusive or inconsistent results of these pharmacogenetic studies, underscoring the research community's struggle to provide sufficient evidence for the clinical implementation of COPD pharmacogenetics. To address these challenges, further research and larger genome-wide studies are essential. These efforts aim to uncover additional COPD subtypes, identify predictors of treatment response, and discover novel genetic markers for COPD. The integration of genomics, detailed evaluations such as chest CT scans, spirometry tests, and blood analyses, along with DNA collection in clinical research, is critical for translating COPD pharmacogenetics into clinical practice. Furthermore, advancing our understanding of the complex interactions between genetics, phenotypes, and environmental factors will be pivotal for improving individualized prognostic assessments and enhancing treatment outcomes in COPD.

The association between cardiovascular diseases and their subcategories with the severity of chronic obstructive pulmonary disease: a large cross-sectional study based on a Chinese hospital population cohort

Background

Current evidence suggests that cardiovascular disease (CVD) plays a role in the progression of chronic obstructive pulmonary disease (COPD). However, the relationship between CVD and the severity of COPD remains inadequately understood. Therefore, this study aims to elucidate the association between CVD and the severity of COPD.

Methods

In this cross-sectional study involving 7,152 individuals with COPD., Logistic regression, subgroup and sensitivity analyses were employed to evaluate the association between CVD, its subcategories, and the severity of COPD.

Results

Multivariable logistic regression analysis showed that CVD and hypertension remained independently associated with COPD severity (P < 0.001). Patients with CVD had a 1.701 times higher risk of developing severe or very severe COPD compared to those without CVD, while patients with hypertension had a 1.686 times higher risk of developing severe or very severe COPD compared to those without hypertension (P < 0.05). Subgroup analyses showed that the association between CVD and COPD severity remained stable among men, patients ≤ 70 years of age, patients > 70 years of age, BMI < 24 or ≥24 kg/m2, and never smokers, whereas coronary artery disease was significantly associated with COPD severity only among patients ≤ 70 years of age and never smokers (P < 0.05). In addition, hypertension was also stably associated with COPD severity among men, patients ≤ 70 years of age, patients > 70 years of age, BMI < 24 or ≥24 kg/m2, and never smokers. Sensitivity analyses reconfirmed the robustness of the associations of CVD and hypertension with COPD severity among patients who excluded bronchiectasis, tuberculosis, lung cancer, pulmonary hypertension, pulmonary heart disease, and diabetes (P < 0.05).

Conclusion

The strong association between CVD and its subcategories (mainly hypertension) and the severity of COPD suggests that the potential risk of exacerbation of CVD should also be addressed in the clinical management of patients with COPD. However, limitations of the cross-sectional design may limit the extrapolation of the results, and more large prospective clinical cohort studies are needed in the future to further validate the association.

Indole-3-Aldehyde alleviates lung inflammation in COPD through activating Aryl Hydrocarbon Receptor to inhibit HDACs/NF-κB/NLRP3 signaling pathways

Indole-3-aldehyde (I3A) is an intestinal microbial metabolite that regulates inflammation in various inflammatory diseases; however, its role in chronic obstructive pulmonary disease (COPD) remains unclear. This study aimed to investigate the anti-inflammatory effects and molecular mechanisms of I3A in COPD. We constructed in vivo models using cigarette smoke (CS)-stimulated mice and in vitro models using cigarette smoke extract (CSE)-stimulated MH-S cells. The results demonstrated that I3A significantly alleviated bronchial obstruction in mice with COPD and reduced the expression of inflammatory factors such as TNF-α, IL-1β, and IL-6. Additionally, I3A decreased the levels of matrix metalloproteinases MMP2, MMP12, and inhibited the NF-κB p65/NLRP3 pathways. Further investigation revealed that I3A inhibited NF-κB activity by suppressing p65 phosphorylation and nuclear translocation in CSE-stimulated MH-S cells. The activation of the NF-κB and NLRP3 signaling pathways is mediated by histone deacetylase 5 (HDAC5) and HDAC6, both of which are inhibited by I3A. Subsequent experiments indicated that aryl hydrocarbon receptor (AHR) knockdown attenuated the inhibitory effect of I3A on pro-inflammatory cytokines and the HDACs/NF-κB/NLRP3 signaling pathways, highlighting the dependence of I3A's anti-inflammatory effects on the AHR receptor. KEY MESSAGES: I3A effectively reduced lung inflammation in COPD mice by inhibiting the NF-κB pathway. In CSE-stimulated MH-S cells, I3A suppressed p65 phosphorylation and nuclear translocation, thereby inhibiting NF-κB activity. The activation of the NF-κB/NLRP3 pathways by HDAC5 and HDAC6 was diminished by I3A. Through the activation of the AHR receptor, I3A suppressed the activities of HDAC5/6, leading to a decrease in inflammatory factor levels.

Hydrogel Strain Sensors for Integrating Into Dynamic Organ-on-a-Chip

Current hydrogel strain sensors have never been integrated into dynamic organ-on-a-chip (OOC) due to the lack of sensitivity in aqueous cell culture systems. To enhance sensing performance, a novel strain sensor is presented in which the MXene layer is coated on the bottom surface of a pre-stretched anti-swelling hydrogel substrate of di-acrylated Pluronic F127 (F127-DA) and chitosan (CS) for isolation from the cell culture on the top surface. The fabricated strain sensors display high sensitivity (gauge factor of 290.96), a wide sensing range (0-100%), and high repeatability. To demonstrate its application, alveolar epithelial cells are cultivated on the top surface of the hydrogel strain sensor forming alveolar barriers, and then integrated into dynamic lung-on-a-chip (LOC) systems. This system can sensitively monitor normal physiological breathing, pathological inflammation stimulated by lipopolysaccharide (LPS), and alleviated inflammation through drug intervention.

DNA hypomethylation-mediated upregulation of GADD45B facilitates airway inflammation and epithelial cell senescence in COPD

INTRODUCTION

Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease typically characterized by chronic airway inflammation, with emerging evidence highlighting the driving role of cellular senescence-related lung aging. Accelerated lung aging and inflammation mutually reinforce each other, creating a detrimental cycle that contributes to disease progression. Growth arrest and DNA damage-inducible (GADD45) family has been reported to involve in multiple biological processes, including inflammation and senescence. However, the role of GADD45 family in COPD remains elusive.

OBJECTIVES

To investigate the role and mechanism of GADD45 family in COPD pathogenesis.

METHODS

Expressions of GADD45 family were evaluated by bioinformatic analysis combined with detections in clinical specimens. The effects of GADD45B on inflammation and senescence were investigated via constructing cell model with siRNA transfection or overexpression lentivirus infection and animal model with Gadd45b knockout. Targeted bisulfite sequencing was performed to probe the influence of DNA methylation in GADD45B expression in COPD.

RESULTS

GADD45B expression was significantly increased in COPD patients and strongly associated with lung function, whereas other family members presented no changes. GADD45B upregulation was confirmed in mice exposed by cigarette smoke (CS) and HBE cells treated by CS extract as well. Moreover, experiments involving bidirectional modulation of GADD45B expression in HBE cells further substantiated its positive regulatory role in inflammatory response and cellular senescence. Mechanically, GADD45B-facilitated inflammation was directly mediated by p38 phosphorylation, while GADD45B interacted with FOS to promote cellular senescence in a p38 phosphorylation-independent manner. Furthermore, Gadd45b deficiency remarkably alleviated inflammation and senescence of lungs in CS-exposed mice, as well as improved emphysema and lung function. Eventually, in vivo and vitro experiments demonstrated that GADD45B overexpression was partially mediated by CS-induced DNA hypomethylation.

CONCLUSION

Our findings have shed light on the impact of GADD45B in the pathogenesis of COPD, thereby offering a promising target for intervention in clinical settings.

Prognostic value of composite inflammatory markers in patients with chronic obstructive pulmonary disease: A retrospective cohort study based on the MIMIC-IV database

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease, and inflammation plays a key role in the pathogenesis of COPD. The aim of this study is to investigate the association between systemic immune inflammation index (SII), systemic inflammatory response index (SIRI),pan-immune inflammation value (PIV), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) and all-cause mortality in patients with chronic obstructive pulmonary disease (COPD), and to evaluate the effect of composite inflammatory markers on the prognosis of COPD patients. We obtained data on COPD patients from the Medical Information Mart for Intensive Care (MIMIC) -IV database and divided patients into four groups based on quartiles of baseline levels of inflammatory markers, The primary outcomes were in-hospital and ICU mortality. We comprehensively explored the association between composite inflammatory markers and mortality in patients with COPD using restricted cubic splints (RCS), COX proportional hazards regression models, Kaplan-Meier curves, receiver operating characteristic (ROC), and subgroup analyses. A total of 1234 COPD patients were included in this study. RCS results showed that SII, SIRI, PLR, PIV and NLR were positively and non-linearly correlated with the increased risk of in-hospital mortality in COPD patients. Multivariate COX regression analysis showed that compound inflammatory markers were independent risk factors for in-hospital mortality in COPD patients. The KM curve results showed that COPD patients with higher SII, SIRI, PLR and PIV had a significantly lower survival probability. 5 kinds of compound between inflammatory markers and mortality in patients with COPD is related to nonlinear correlation, can increase the risk of mortality in patients with COPD is a risk factor for the prognosis of patients with COPD, and may serve as potential biomarkers for clinical COPD risk stratification and treatment management in critical patients.

The Association Between the CALLY Index and All-Cause Mortality in Patients with COPD: Results from the Cohort Study of NHANES 2007-2010

Purpose

The C-reactive protein (CRP)-albumin-lymphocyte (CALLY) index is a newly developed biomarker that combines measurements of CRP, serum albumin, and lymphocyte count. This index provides a thorough assessment of a patient's inflammation level, nutritional condition, and immunological function. The objective of this study is to examine the correlation between the CALLY index and all-cause mortality in COPD patients.

Methods

We calculated the CALLY index using data from the National Health and Nutrition Examination Survey (NHANES) for the 2007-2008 and 2009-2010 cycles, extracted from the participants' peripheral blood samples. The study utilized Kaplan-Meier curves, restricted cubic spline (RCS) curves, and Cox regression analysis to evaluate the relationship between the CALLY index and the risk of all-cause mortality in COPD patients. To assess the predictive accuracy of the CALLY index, we calculated the area under the receiver operating characteristic (ROC) curve (AUC).

Results

The study included 1,048 participants and found a significant negative correlation between the CALLY index and all-cause mortality in patients with COPD. The CALLY index was a major predictor of survival in COPD patients [fully adjusted model: in the 3rd quartile, HR = 1.61, 95% CI: 1.02-2.52, p = 0.039; in the 2nd quartile, HR = 2.11, 95% CI: 1.22-3.65, p = 0.008; in the 1st quartile, HR = 3.12, 95% CI: 2.00-4.85, p < 0.001]. The RCS curves demonstrated a non-linear association between the CALLY index and all-cause mortality in COPD patients. The areas under the curve (AUC) in predicting 5- and 10-year all-cause mortality were 0.693 and 0.656.

Conclusion

The CALLY index has a strong relationship with all-cause mortality in patients with COPD in the US and could serve as a prognostic biomarker for these patients.

Shen Qi Wan regulates OPN/CD44/PI3K pathway to improve airway inflammation in COPD: Network pharmacology, bioinformatics, and experimental validation

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is one of the most common respiratory diseases with undefined pathogenesis and unsatisfactory therapeutic options. Shenqi Wan (SQW), a traditional Chinese medicinal compound, has demonstrated certain preventive and therapeutic effects on COPD. However, the underlying molecular mechanisms remain incompletely understood. In this study, we used weighted gene co-expression network analysis (WGCNA) and machine learning to identify biomarkers for COPD, combined with network pharmacology and experimental validation to evaluate how SQW reduces airway inflammation in COPD.

METHODS

Targets of SQW in treating COPD and its network regulation mechanism were predicted via network pharmacology. Meanwhile, potential biomarkers were predicted using WGCNA and machine learning algorithms and validated in COPD patients. The relationship between the core pathway and key target was analyzed by ingenuity pathway analysis (IPA) to reveal the regulatory mechanism of SQW. We evaluated the efficacy of SQW treatment in LPS/MS-induced COPD mice by evaluating lung function, histopathological parameters, and levels of inflammatory markers and oxidative stress. The distribution and expression of OPN/CD44/PI3K loop-related proteins were examined through immunofluorescence staining and Western Blotting. In vitro, we added LPS to BEAS-2B cells to mimic the inflammatory microenvironment and transfected the cells with OPN overexpression plasmid to observe the improvement induced by SQW.

RESULTS

GO and KEGG analyses demonstrated that SQW inhibited inflammation and oxidative stress via the PI3K/Akt pathway, thereby improving COPD. Machine learning algorithms identified OPN as a potential biomarker, with elevated expression observed in the lung tissue of COPD patients. IPA indicated that OPN may modulate the CD44-mediated activation of the PI3K/AKT pathway, forming a positive feedback regulatory mechanism. SQW ameliorated lung function and pathological injury in mice; further, it reduced inflammation, oxidative stress, and OPN/CD44/PI3K positive feedback loop-related protein expression in both mice and cells. After OPN overexpression, the levels of inflammatory factors and ROS were significantly increased, and the OPN/CD44/PI3K signal was further activated, weakening the ameliorative effect of the SQW drug-containing serum.

CONCLUSION

Overall, SQW contributed to ameliorating COPD by reducing airway inflammation and oxidative stress through inhibiting the OPN/CD44/PI3K positive feedback loop.

Chronic obstructive pulmonary disease's eosinophilic phenotype: Clinical characteristics, biomarkers and biotherapy

COPD is a chronic, heterogeneous inflammatory disorder of the airways with persistent and poorly reversible airflow limitation, causing symptoms such as cough, shortness of breath, and sputum production. Despite optimal treatment, some patients remain symptomatic due to the disease's heterogeneity, manifesting in various phenotypes. One notable phenotype involves eosinophilic inflammation, with a variable prevalence. Identifying eosinophilic phenotypes is crucial for tailored therapeutic strategies, as they respond favorably to corticosteroids and potentially biologics. Recent advances in both clinical trials and spontaneous research have helped understand the biological and clinical characteristics of this phenotype, although no universal consensus has been reached yet on the definition of the cut-off values of the eosinophil peripheral blood count. Moreover, there is evidence of novel emerging biomarkers which might go beyond the sole eosinophil count, while significant advancements in terms of pharmacological treatment have been made, with dupilumab being the first biological drug being licensed for COPD patients with elevated circulating eosinophils in the stable phase. In light of the above, although several papers have been written on the relationship between eosinophils and COPD, in the present work we endeavored to summarize and discuss the pivotal literature findings regarding the eosinophilic COPD in order to help define the biological and clinical features of this peculiar phenotype, with particular attention to the use of established and emerging biomarkers, as well as current and future therapeutic perspectives.

Network Pharmacology and Experimental Validation of Jinwei Decoction for Enhancement of Glucocorticoid Anti-Inflammatory Effect in COPD through miR-155-5p

BACKGROUND

Jinwei decoction can enhance the anti-inflammatory effect of glucocorticoid (GC) on chronic obstructive pulmonary disease (COPD) by restoring the activity of human histone deacetylase-2 (HDAC2). However the upstream mechanism of Jinwei decoction on HDAC2 expression is not clear.

OBJECTIVE

To explore the target of Jinwei decoction to enhance the anti-inflammatory effect of GC on COPD through microRNA155-5p (miR-155-5p) by network pharmacology and experimental verification.

METHODS

The TCMSP database was used to screen active ingredients and target genes of Jinwei decoction, and miRWalk2.0 was used to predict downstream target genes of miR-155-5p. COPD-related genes were identified by searching GeneCards, Grugbank and OMIM databases; Venny 2.1 was used to screen intersection genes; Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of intersection genes were analyzed by R software. Protein-protein interactions (PPIs) were analyzed by Cytoscape 3.7.2 software to identify core genes. Finally, interactions between main compounds and potential targets were verified by molecular docking. A COPD cell model was established by 5% cigarette smoke extract (CSE)- induced bronchial epithelial cell (BEAS-2B), and the results of network pharmacology were verified by in vitro experiments.

RESULTS

Two hundred thirty-one active ingredients, 352 Jinwei decoction drug targets, 5949 miR-155-5p target genes, 8286 COPD target genes, and 127 intersection genes were identified. Twelve core proteins of PPI networks may be involved. GO enrichment analysis showed that regulation of membrane potential, response to steroid hormone, and histone modification were involved; KEGG pathway enrichment analysis concentrated in the PI3K-Akt, mitogen-activated protein kinase (MAPK), HIF-1, and other signaling pathways. The molecular docking results showed that quercetin, luteolin and stigmasterol have higher affinity with PTGS2, HIF1A and AKT1. The results of cell experiments revealed that Jinwei decoction not only enhances the anti- inflammatory effect of GC in the COPD cell model but also reverses the high expression of miR-155-5p, PI3k, Akt, and low expression of HDAC2, thereby inhibiting the inflammatory response of COPD.

CONCLUSION

Jinwei decoction can regulate HDAC2 activity and enhance the anti-inflammatory effect of GC on COPD by modulating miR-155-5p. Its mechanism of action may be related to its effect on the PI3K-Akt through miR-155-5p.

HMGB1 promotes M1 polarization of macrophages and induces COPD inflammation

Chronic obstructive pulmonary disease (COPD) is a pervasive and incapacitating respiratory condition, distinguished by airway inflammation and the remodeling of the lower respiratory tract. Central to its pathogenesis is an intricate inflammatory process, wherein macrophages exert significant regulatory functions, and High mobility group box 1 (HMGB1) emerges as a pivotal inflammatory mediator potentially driving COPD progression. This study explores the hypothesis that HMGB1, within macrophages, modulates COPD through inflammatory mechanisms, focusing on its influence on macrophage polarization. Our investigation uncovered that HMGB1 is upregulated in the context of COPD, associated with an enhanced proinflammatory M1 macrophage polarization induced by cigarette smoke. This polarization is linked to suppressed cell proliferation and induced apoptosis, indicative of HMGB1's role in the disease's inflammatory trajectory. The study further implicates HMGB1 in the activation of the Nuclear factor kappa-B (NF-κB) signaling pathway and chemokine signaling within macrophages, which are likely to amplify the inflammatory response characteristic of COPD. The findings underscore HMGB1's critical involvement in COPD pathogenesis, presenting it as a significant target for therapeutic intervention aimed at modulating macrophage polarization and inflammation.

Identification of shared pathogenic signatures of multiple sclerosis and chronic obstructive pulmonary disease: an integrated transcriptomic analysis of blood specimens

Patients with multiple sclerosis (MS) face a heightened risk of developing chronic obstructive pulmonary disease (COPD). Despite this widely reported association, the pathogenic contributors and processes that may favor the development of COPD in MS patients have yet to be identified. Recent studies have suggested peripheral blood leukocytes as a potential link between COPD and autoimmune disorders. Therefore, this study aimed to unveil shared molecular signatures between MS and COPD using blood transcriptomes. To this end, gene expression datasets obtained from MS and COPD blood specimens were retrieved from the Gene Expression Omnibus (GEO) database. By integrating datasets belonging to each disorder, differentially expressed genes (DEGs) were determined for each disease. Then, the protein-protein interaction (PPI) network was constructed for shared DEGs between MS and COPD. Subsequently, the network was analyzed to identify hub genes and key regulatory miRNAs. The integrated data for MS encompassed 51 samples (28 from MS patients and 23 from controls), and the integrated data for COPD included 450 samples (275 from COPD patients and 175 from controls). A total of 246 genes were found to exhibit identical directions of expression in both MS and COPD. By applying a high confidence threshold (0.7), a PPI network with 74 nodes was constructed. TP53, H4C6, SNRPE, and RPS11 were identified as hub genes according to the degree measure. In addition, 8 miRNAs were identified as key regulators, each interacting with 6 mRNAs. Among these miRNAs, miR-218-5p and miR-142-5p have been previously reported to contribute to the pathogenesis of these diseases, and here they were identified as key regulators of the shared PPI network, suggesting a potential epigenetic link between MS and COPD. In conclusion, the results highlighted the potential role of peripheral blood leucocytes as a bridge between MS and COPD. These findings broaden our understanding of pathogenic contributors linking MS and COPD. While this transcriptomics study identified multiple key players, such as TP53, miR-218-5p, and miR-142-5p, the assessment of their therapeutic efficacy demands further experimental studies.

Identification and experimental validation of PYCARD as a crucial PANoptosis-related gene for immune response and inflammation in COPD

Chronic inflammatory and immune responses play key roles in the development and progression of chronic obstructive pulmonary disease (COPD). PANoptosis, as a unique inflammatory cell death modality, is involved in the pathogenesis of many inflammatory diseases. We aim to identify critical PANoptosis-related biomarkers and explore their potential effects on respiratory tract diseases and immune infiltration landscapes in COPD. Total microarray data consisting of peripheral blood and lung tissue datasets associated with COPD were obtained from the GEO database. PANoptosis-associated genes in COPD were identified by intersecting differentially expressed genes (DEGs) with genes involved in pyroptosis, apoptosis, and necroptosis after normalizing and removing the batch effect. Furthermore, GO, KEGG, PPI network, WGCNA, LASSO-COX, and ROC curves analysis were conducted to screen and verify hub genes, and the correlation between PYCARD and infiltrated immune cells was analyzed. The effect of PYCARD on respiratory tract diseases and the potential small-molecule agents for the treatment of COPD were identified. PYCARD expression was verified in the lung tissue of CS/LPS-induced COPD mice. PYCARD was a critical PANoptosis-related gene in all COPD patients. PYCARD was positively related to NOD-like receptor signaling pathway and promoted immune cell infiltration. Moreover, PYCARD was significantly activated in COPD mice mainly by targeting PANoptosis. PANoptosis-related gene PYCARD is a potential biomarker for COPD diagnosis and treatment.

Identification of immune-related hub genes in chronic obstructive pulmonary disease

OBJECTIVE

As a prevalent persistent respiratory disease, chronic obstructive pulmonary disease (COPD) is featured by airflow limitation and chronic inflammation. This study focused on the identification of immune-related hub genes in COPD.

METHODS

We employed the GSE38974 dataset to analyze differentially expressed genes (DEGs) of COPD. Then, we obtained COPD immune-related DEGs (COPD-IMDEGs) based on the intersection of DEGs and immune-related genes. Subsequently, we carried out Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses on COPD-IMDEGs. We established a protein-protein interaction network based on COPD-IMDEGs. The hub genes were determined by utilizing the Maximal Clique Centrality method. We utilized receiver operating characteristic (ROC) curves to analyze the clinical significance of hub genes in COPD. In addition, potential drugs targeting hub genes were predicted based on interactions between hub gene-corresponding proteins and drugs.

RESULTS

A total of 45 COPD-IMDEGs were obtained through differential analysis. Enrichment analyses showed that COPD-IMDEGs were associated with cytokines, growth factors, and receptor ligands. Ten COPD-IMDEGs were identified as hub genes. As shown by ROC curves, these genes had potential value in identifying COPD patients. Drug prediction results showed that simvastatin and other drugs targeted hub genes.

CONCLUSION

This study analyzed the potential biological functions enriched by COPD-IMDEGs, identified ten genes as biological markers for diagnosing COPD, and predicted potential drugs for treating COPD.

Staphylococcus aureus enterotoxin sensitization is associated with declined capsaicin cough sensitivity in chronic obstructive pulmonary disease

Sensitization to Staphylococcus aureus (S. aureus) enterotoxins (SEs) A (SEA) and B (SEB) is associated with the pathogenesis of several chronic airway diseases, including asthma and chronic rhinosinusitis, but its role in chronic obstructive pulmonary disease (COPD) remains unclear. This cohort study aimed to investigate the impact of sensitization to SEs on total IgE levels, and capsaicin cough reflex sensitivity (C-CS) in COPD. This study prospectively enrolled 68 patients with COPD from the outpatient department at Nagoya City University Hospital and Shizuoka General Hospital, Japan, from June 2018 to January 2020 for posthoc analysis. Patient characteristics and biomarkers, including total IgE, and C-CS, were collected. We additionally measured and serum SEA-IgE and SEB-IgE levels for this analysis. Total IgE and SEs-IgE levels in individuals with COPD were compared to those of 20 healthy individuals. The correlation between C-CS and IgE levels was evaluated using Pearson's correlation coefficient. Multivariate analyses were used to adjust the impact on SE sensitization in total IgE levels and C-CS. The prevalence of SEs sensitization was higher in patients with COPD (23.5%, N = 16) than in healthy individuals (0%, N = 0) at a cut-off value of 0.35 UA/mL or more (p = 0.018). There was a negative correlation between total serum SEB-IgE levels and declined C-CS values. Multivariate analysis showed that SEs sensitization was associated with increased total IgE levels, and declined C-CS values. This study indicated that SEs sensitization was associated with increased IgE levels and decreased C-CS in COPD. This study was approved by the ethics committee of Nagoya City University (60-18-0012) and registered in the UMIN Clinical Trials Registry (Registry ID UMIN000032497).

Evaluating the clinical utility of small airway function assessment for early diagnosis of GOLD stage 0 chronic obstructive pulmonary disease

OBJECTIVE

To investigate the clinical utility of small airway function indices for early identification of GOLD stage 0 chronic obstructive pulmonary disease (COPD).

METHODS

This retrospective study enrolled 137 participants at our institution between January 2017 and December 2018, comprising 40 healthy controls, 46 individuals with GOLD stage 0 COPD, and 51 patients with established COPD. Pulmonary function was assessed using the PowerCube spirometry system (GANSHORN, Germany). Parameters evaluated included forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), FEV1/FVC ratio, and small airway function indicators.

RESULTS

The COPD cohort exhibited significantly lower values across all lung function measures compared to the other two groups, particularly for dynamic lung volume parameters such as FEV1%predicted and FEV1/FVC%. Small airway function indices, including FEV3%predicted, FEF75%predicted, FEF50%predicted, FEF25%predicted, and MMEF%predicted, were markedly decreased in the COPD group (all p-values <0.001). Receiver operating characteristic (ROC) curve analysis demonstrated that MMEF/FVC% and FEV3/FVC% had high diagnostic accuracy for COPD, with MMEF/FVC% exhibiting the optimal sensitivity and specificity.

CONCLUSION

Small airway function indices, especially MMEF/FVC%, can serve as effective tools for early identification of GOLD stage 0 COPD. Incorporation of these findings into clinical practice may facilitate early diagnosis and intervention, thereby improving treatment outcomes and patient quality of life.

A quantitative proteomic approach to evaluate the efficacy of carnosine in a murine model of chronic obstructive pulmonary disease (COPD)

The aim of the work was to study a dose-dependent effect of inhaled carnosine (10, 50 or 100 mg/kg/day) in mice exposed to cigarette smoke as a model of chronic obstructive pulmonary disease (COPD). A dose-dependent loading of the dipeptide in lung tissue and bronchoalveolar lavage (BAL) was firstly demonstrated by LC-ESI-MS analysis. Cigarette smoke exposure induced a significant lung inflammation and oxidative stress in mice which was dose-dependently reduced by carnosine. Inflammation was firstly evaluated by measuring the cytokines content in the BAL. All the measured cytokines were found significantly higher in the smoke group in respect to control, although the data are affected by a significant variability. Carnosine was found effective only at the highest dose tested and significantly only for keratinocyte-derived cytokine (KC). Due to the high variability of cytokines, a quantitative proteomic approach to better understand the functional effect of carnosine and its molecular mechanisms was used. Proteomic data clearly indicate that smoke exposure had a great impact on lung tissue with 692 proteins differentially expressed above a threshold of 1.5-fold. Protein network analysis identified the activation of some pathways characteristic of COPD, including inflammatory response, fibrosis, induction of immune system by infiltration and migration of leukocyte pathways, altered pathway of calcium metabolism and oxidative stress. Carnosine at the tested dose of 100 mg/kg was found effective in reverting all the pathways evoked by smoke. Only a partial reverse of the dysregulated proteins was evident at low- and mid-tested doses, although, for some specific proteins, indicating an overall dose-dependent effect. Regarding the molecular mechanisms involved, we found that carnosine upregulated some key enzymes related to Nrf2 activation and in particular glutathione peroxidase, reductase, transferase, SOD, thioredoxins, and carbonyl reductase. Such mechanism would explain the antioxidant and anti-inflammatory effects of the dipeptide.

Genetic evidence of bidirectional mendelian randomization study on the causality between gut microbiome and respiratory diseases contributes to gut-lung axis

Observational studies and clinical trials have suggested the relationship between the gut microbiome and respiratory diseases, but the causality between them remains unclear. Firstly, we selected eight respiratory diseases Genome-wide association study (GWAS) datasets mainly from the FinnGen collaboration as outcomes. The exposure was based on GWAS statistics about the gut microbiome, sourced from the MiBioGen consortium, including gut microbial taxa. The causal link between the gut microbiome and respiratory illnesses was then estimated using a Two-sample Mendelian randomization (MR) analysis, including the inverse-variance weighted (IVW), weighted median, MR-Egger, simple mode, and weighted mode. To ensure reliability, F-statistics and sensitivity tests were conducted. Furthermore, we performed a reverse MR analysis of the pre-Mendelian positive findings to possible reverse causality. For the 196 gut microbe taxa, the IVW analysis suggested 88 potential associations with eight clinically prevalent respiratory diseases. Among them, 30 causal associations were found in more than one MR method. Multiple statistical corrections have confirmed three causal associations: genus Holdemanella was a risk factor for chronic obstructive pulmonary disease (COPD) (P = 1.3 × 10-4, OR = 1.18), family FamilyXIII was a protective factor for COPD (P = 1.3 × 10-3, OR = 0.75), and genus Oxalobacter was a risk factor for asthma (P = 2.1 × 10-4, OR = 1.09). Our MR analysis results indicate that there would be a causal relationship between the gut microbiome and respiratory diseases, contributing to the gut-lung axis. This finding offers new insights into the gut microbiome's roles in respiratory diseases' clinical prevention, pathogenesis, and improvement of clinical symptoms. Further randomized controlled trials are necessary to clarify the protective effect of probiotics and fecal microbial transplantation on respiratory health.

LncRNA MALAT1 regulates cigarette smoke induced airway inflammation by modulating miR-30a-5p/JNK signaling pathway

Chronic airway inflammation induced by cigarette smoke (CS) plays an essential role in the pathogenesis of chronic obstructive pulmonary disease (COPD). MALAT1 is involved in a variety of inflammatory disorders. However, studies focusing on the interaction between MALAT1 and CS-induced airway inflammation remain unknown. The present study investigated the effects and mechanisms of MALAT1 in CS-induced airway inflammation in the pathogenesis of COPD. RT-qPCR was employed to determine the mRNA levels of MALAT1, miR-30a-5p and inflammatory cytokines. Protein concentrations of IL-1β and IL-6 in cell culture supernatant and mouse bronchoalveolar lavage fluid (BALF) were assessed by ELISA assay kits. Dual-luciferase reporter assay was conducted to verify the interaction between MALAT1 and miR-30a-5p. The protein expression of JNK and p-JNK was determined by western blot (WB). MALAT1 was highly expressed in cigarette smoke extract (CSE)-treated human bronchial epithelial cells (HBECs) and COPD mice lung tissues. Knockdown of MALAT1 significantly alleviate CS-induced inflammatory response. MALAT1 directly interacted with miR-30a-5p and knockdown of miR-30a-5p significantly inhibit the protective effects of MALAT1 silencing after CS exposure. Additionally, our results showed that miR-30a-5p could regulate inflammation via modulating the activation of JNK signaling pathway. Moreover, our results demonstrated MALAT1 could activate JNK signaling pathway by sponging miR-30a-5p. Our results demonstrated MALAT1 promotes CS-induced airway inflammation by inhibiting the activation of JNK signaling pathway via sponging miR-30a-5p.

Aggregatibacter is inversely associated with inflammatory mediators in sputa of patients with chronic airway diseases and reduces inflammation in vitro

BACKGROUND

Chronic airway disease (CAD) is characterized by chronic airway inflammation and colonization of the lungs by pro-inflammatory pathogens. However, while various other bacterial species are present in the lower airways, it is not fully understood how they influence inflammation. We aimed to identify novel anti-inflammatory species present in lower airway samples of patients with CAD.

METHODS

Paired sputum microbiome and inflammatory marker data of adults with CAD across three separate cohorts (Australian asthma and bronchiectasis, Scottish bronchiectasis) was analyzed using Linear discriminant analysis Effect Size (LEfSE) and Spearman correlation analysis to identify species associated with a low inflammatory profile in patients.

RESULTS

We identified the genus Aggregatibacter as more abundant in patients with lower levels of airway inflammatory markers in two CAD cohorts (Australian asthma and bronchiectasis). In addition, the relative abundance of Aggregatibacter was inversely correlated with sputum IL-8 (Australian bronchiectasis) and IL-1β levels (Australian asthma and bronchiectasis). Subsequent in vitro testing, using a physiologically relevant three-dimensional lung epithelial cell model, revealed that Aggregatibacter spp. (i.e. A. actinomycetemcomitans, A. aphrophilus) and their cell-free supernatant exerted anti-inflammatory activity without influencing host cell viability.

CONCLUSIONS

These findings suggest that Aggregatibacter spp. might act to reduce airway inflammation in CAD patients.

Activated eosinophils in early life impair lung development and promote long-term lung damage

Exaggeration of type 2 immune responses promotes lung inflammation and altered lung development; however, eosinophils, despite expansion in the postnatal lung, have not been specifically assessed in the context of neonatal lung disease. Furthermore, early life factors including prematurity and respiratory infection predispose infants to chronic obstructive pulmonary disease later in life. To assess eosinophils in the developing lung and how they may contribute to chronic lung disease, we generated mice harboring eosinophil-specific deletion of the negative regulatory enzyme SH2 domain-containing inositol 5' phosphatase-1. This increased the activity and number of pulmonary eosinophils in the developing lung, which was associated with impaired lung development, expansion of activated alveolar macrophages (AMφ), multinucleated giant cell formation, enlargement of airspaces, and fibrosis. Despite regression of eosinophils following completion of lung development, AMφ-dominated inflammation persisted, alongside lung damage. Bone marrow chimera studies showed that SH2 domain-containing inositol 5' phosphatase-1-deficient eosinophils were not sufficient to drive inflammatory lung disease in adult steady-state mice but once inflammation and damage were present, it could not be resolved. Depletion of eosinophils during alveolarization alleviated pulmonary inflammation and lung pathology, demonstrating an eosinophil-intrinsic effect. These results show that the presence of activated eosinophils during alveolarization aggravates AMφs and promotes sustained inflammation and long-lasting lung pathology.

Rutaecarpine Protects Against Cigarette Smoke-Induced Chronic Obstructive Pulmonary Disease (COPD) in Rats

Chronic obstructive pulmonary disease (COPD) is a chronic lung inflammatory disease that causes restricted airflow and breathing difficulties. In this work, we attempted to explore the salutary effects of rutaecarpine on COPD-induced rats. Healthy Wistar rats were employed in this study and exposed to cigarette smoke to initiate COPD. The rutaecarpine was given to the rats at 20 and 30 mg/kg dosages, respectively, for 12 weeks. Body weight gain, food uptake, and food efficiency were assessed after treatment completion. The grip strength test was performed to assess muscle strength. The C-reactive protein (CRP), leptin, inflammatory cytokines, and oxidative stress markers were assessed using the corresponding assay kits. The inflammatory cells on the bronchoalveolar lavage fluid (BALF) were counted using Wright-Giemsa staining. The respiratory functions of the experimental rats were measured. The histopathological analysis was done on the lung tissues. The rutaecarpine treatment effectively increased body weight gain, food uptake, and food efficiency in the COPD rats. The levels of leptin were increased, and CRP was reduced by the rutaecarpine. The rutaecarpine regulated the respiratory functions and reduced the inflammatory cell counts and pro-inflammatory markers in the COPD rats. The levels of antioxidants were increased by the rutaecarpine treatment in the COPD rats. The findings of the lung histopathological study also demonstrated the therapeutic effects of rutaecarpine. Overall, the findings of the current study witness the salutary role of rutaecarpine against cigarette smoke-induced COPD in rats. Therefore, it was clear that rutaecarpine could be a promising salutary candidate to treat COPD.

Longitudinal reciprocal association between rheumatoid arthritis and chronic obstructive pulmonary disease and mediation of inflammation

OBJECTIVES

To elucidate the longitudinal reciprocal association between RA and chronic obstructive pulmonary disease (COPD) and the mediating role of systemic inflammation in the association.

METHODS

A total of 403 045 participants from UK Biobank were enrolled in this study. A cross-lagged panel model was used to investigate the longitudinal reciprocal association between RA and COPD. Cox proportional hazards regression and logistic regression models were also conducted to examine the association between baseline RA and COPD during follow-up, and vice versa. Causal mediation analysis was then performed to explore the mediating roles of 160 systemic inflammatory biomarkers in the bidirectional association.

RESULTS

At baseline, 4755 (1.2%) and 6989 (1.7%) individuals were diagnosed with RA and COPD, respectively. After adjusting for the covariates, the result of a cross-lagged panel model revealed a bidirectional association between RA and COPD (β = 0.018, P < 0.001 for the RA→COPD path; β = 0.010, P < 0.001 for the COPD→RA path). In the non-COPD population, the risk of future COPD was increased in RA patients [Cox model: hazard ratio (HR) 1.65 (95% CI 1.50, 1.83); logistic model: odds ratio (OR) 1.85 (95% CI 1.66, 2.07)]. In the non-RA population, baseline COPD was associated with a higher risk of RA during follow-up [Cox model: HR 1.67 (95% CI 1.44, 1.92); logistic model: OR 1.70 (95% CI 1.47, 1.97)]. Five inflammatory factors mediated the RA→COPD path and CRP mediated the COPD→RA path (false discovery rate < 0.05).

CONCLUSIONS

A significant bidirectional association exists between RA and COPD and it is partially mediated by systemic inflammation.

The association between the dietary inflammatory index and cardiorespiratory fitness in United States young adults: a cross-sectional study from the National Health and Nutrition Examination Study, 1999-2004

Background

Cardiorespiratory fitness (CRF) is a vital indicator of overall health and cardiovascular efficiency. Systemic inflammation significantly impacts CRF, and reducing systemic inflammation may serve as an effective strategy to improve CRF. Diet plays a crucial role in systemic inflammation, but daily dietary intake typically involves multiple elements rather than a single nutrient. The Dietary Inflammatory Index (DII) provides an overall assessment of dietary inflammation on the basis of the anti-inflammatory and pro-inflammatory effects of the nutrients consumed. However, the relationship between DII and CRF is not yet well understood.

Aims

To examine the association between the DII and CRF.

Method

This study analyzed 3,087 participants from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2002. The study subjects were divided into three distinct groups by DII tertile: T1 (n = 1,027), T2 (n = 1,029), and T3 (n = 1,031). The associations between DII levels and CRF were examined via logistic regression analysis and restricted cubic splines (RCSs).

Results

Elevated DII scores were significantly linked to low CRF levels. Compared with those in the lowest tertile, participants in the highest DII tertile exhibited a greater prevalence of low CRF (T1: 10.85%, T2: 16.32%, T3: 19.31%). In the model with full adjustments, elevated scores on the DII were consistently linked with a heightened likelihood of low CRF (OR: 1.17, 95% CI: 1.07-1.28; P < 0.001). Compared with those in the T1 group, participants with higher DIIs had an increased risk of lower CRF (T2: OR: 1.42, 95% CI: 1.01-2.01, P = 0.046; T3: OR: 1.71, 95% CI: 1.22-2.40, P = 0.003). Additionally, a significant interaction (P = 0.045) between sex and the DII for low CRF was observed within the population.

Conclusion

A higher DII score is linked to an elevated risk of low CRF. Moreover, sex can impact CRF, with women being more prone to low CRF.

The neutrophil-lymphocyte ratio predicts all-cause and cardiovascular mortality among United States adults with COPD: results from NHANES 1999-2018

Background

Neutrophil-to-lymphocyte ratio (NLR) is considered a biomarker of systemic inflammation and immune activation. However, its relationship with the risk of mortality in patients with chronic obstructive pulmonary disease (COPD) remains unclear. This study aimed to investigate the association between NLR and the risk of all-cause and cardiovascular mortality in patients with COPD.

Methods

Data were collected from the National Health and Nutrition Examination Survey (NHANES) from January 1999 to December 2018. The calculation method of NLR involves dividing the neutrophil count by the lymphocyte count in the total blood cell count. The optimal NLR threshold associated with survival outcomes was determined using the maximally selected rank statistics method (MSRSM). The relationship between NLR and the risk of all-cause mortality and cardiovascular mortality in COPD was investigated using a weighted multivariable Cox regression model. Additionally, restricted cubic spline (RCS) was employed to discuss the potential relationship between NLR patients in different groups and the risk of mortality.

Results

In this study, 716 adults with COPD were included using the maximally selected rank statistics method, among whom 208 had higher NLR (≥2.56) and 508 had lower NLR (<2.56). During a median follow-up of 111.5 months, 162 COPD patients died from all causes, and 49 patients died from cardiovascular diseases. After adjusting for demographic, socioeconomic status, and lifestyle factors, the risk of all-cause mortality (HR = 2.07, 95%CI: 1.46-2.94) and cardiovascular mortality (HR = 3.03, 95%CI: 1.63-5.65) in patients with higher NLR was increased by 2-3 times compared to those with lower NLR. Kaplan-Meier analysis revealed significantly lower survival rates in patients with higher NLR for all-cause mortality and cardiovascular mortality (p < 0.05). Restricted cubic spline analysis showed a linear correlation between NLR and the risk of all-cause mortality and cardiovascular mortality.

Conclusion

NLR has a high value in independently predicting long-term all-cause and cardiovascular mortality risks in community-dwelling COPD patients. Therefore, NLR can serve as a cost-effective and widely available indicator for assessing the prognosis of COPD patients.

Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning

Purpose

To employ bioinformatics and machine learning to predict the characteristics of immune cells and genes associated with the inflammatory response and ferroptosis in chronic obstructive pulmonary disease (COPD) patients and to aid in the development of targeted traditional Chinese medicine (TCM). Mendelian randomization analysis elucidates the causal relationships among immune cells, genes, and COPD, offering novel insights for the early diagnosis, prevention, and treatment of COPD. This approach also provides a fresh perspective on the use of traditional Chinese medicine for treating COPD.

Methods

R software was used to extract COPD-related data from the Gene Expression Omnibus (GEO) database, differentially expressed genes were identified for enrichment analysis, and WGCNA was used to pinpoint genes within relevant modules associated with COPD. This analysis included determining genes linked to the inflammatory response in COPD patients and analyzing their correlation with ferroptosis. Further steps involved filtering core genes, constructing TF-miRNA‒mRNA network diagrams, and employing three types of machine learning to predict the core miRNAs, key immune cells, and characteristic genes of COPD patients. This process also delves into their correlations, single-gene GSEA, and diagnostic model predictions. Reverse inference complemented by molecular docking was used to predict compounds and traditional Chinese medicines for treating COPD; Mendelian randomization was applied to explore the causal relationships among immune cells, genes, and COPD.

Results

We identified 2443 differential genes associated with COPD through the GEO database, along with 8435 genes relevant to WGCNA and 1226 inflammation-related genes. A total of 141 genes related to the inflammatory response in COPD patients were identified, and 37 core genes related to ferroptosis were selected for further enrichment analysis and analysis. The core miRNAs predicted for COPD include hsa-miR-543, hsa-miR-181c, and hsa-miR-200a, among others. The key immune cells identified were plasma cells, activated memory CD4 T cells, gamma delta T cells, activated NK cells, M2 macrophages, and eosinophils. Characteristic genes included EGF, PLG, PTPN22, and NR4A1. A total of 78 compounds and 437 traditional Chinese medicines were predicted. Mendelian randomization analysis revealed a causal relationship between 36 types of immune cells and COPD, whereas no causal relationship was found between the core genes and COPD.

Conclusion

A definitive causal relationship exists between immune cells and COPD, while the prediction of core miRNAs, key immune cells, characteristic genes, and targeted traditional Chinese medicines offers novel insights for the early diagnosis, prevention, and treatment of COPD.

Fritillaria cirrhosa D. Don Alleviates Inflammatory Progression and Suppresses M1 Polarization of Macrophages in Chronic Obstructive Pulmonary Disease

INTRODUCTION

Chronic obstructive pulmonary disease (COPD) is a progressive and largely irreversible disease. Current therapeutic approaches for COPD are limited in terms of slowing disease progression and suppressing pulmonary inflammation. Therefore, this study aimed to identify a method for alleviating inflammation in COPD.

METHODS

A COPD-like mouse model was established and treated with or without Fritillaria cirrhosa D. Don (hereinafter referred to as Fritillaria). The expression levels of inflammatory cytokines in mouse serum were detected by using enzyme-linked immunosorbent assay (ELISA). Additionally, lung tissue was analyzed by hematoxylin-eosin staining and immunohistochemistry analysis, respectively. MLE-12 cells were exposed to cigarette smoke extract (CSE) and treated with or without Fritillaria. The MTT assay was conducted to assess cell viability. The activation of NF-κB p65 was determined by Western blotting (WB). Finally, flow cytometry was applied to analyze the M1 macrophage percentage.

RESULTS

The results displayed that Fritillaria downregulated the levels of IL-1β, IL-6, IL-8, and TNF-α in the COPD-like mouse serum and MLE-12 cells. Fritillaria alleviated the inflammatory response in lung tissue of COPD-like mice. The cell viability of MLE-12 cells considerably decreased when exposed to CSE, which could be restored by adding Fritillaria. The Fritillaria reduced the activation of the pro-inflammatory factor NF-κB p65 and inhibited M1 polarization of macrophages, thereby mitigating the inflammatory response.

CONCLUSION

In conclusion, Fritillaria exhibits beneficial effects in suppressing pulmonary infection-related inflammation in both the COPD-like mouse model and in vitro cell experiments.

Tobacco and COPD: presenting the World Health Organization (WHO) Tobacco Knowledge Summary

The WHO recently published a Tobacco Knowledge Summary (TKS) synthesizing current evidence on tobacco and COPD, aiming to raise awareness among a broad audience of health care professionals. Furthermore, it can be used as an advocacy tool in the fight for tobacco control and prevention of tobacco-related disease. This article builds on the evidence presented in the TKS, with a greater level of detail intended for a lung-specialist audience. Pulmonologists have a vital role to play in advocating for the health of their patients and the wider population by sharing five key messages: (1) Smoking is the leading cause of COPD in high-income countries, contributing to approximately 70% of cases. Quitting tobacco is an essential step toward better lung health. (2) People with COPD face a significantly higher risk of developing lung cancer. Smoking cessation is a powerful measure to reduce cancer risk. (3) Cardiovascular disease, lung cancer and type-2 diabetes are common comorbidities in people with COPD. Quitting smoking not only improves COPD management, but also reduces the risk of developing these coexisting conditions. (4) Tobacco smoke also significantly impacts children's lung growth and development, increasing the risk of respiratory infections, asthma and up to ten other conditions, and COPD later in life. Governments should implement effective tobacco control measures to protect vulnerable populations. (5) The tobacco industry's aggressive strategies in the marketing of nicotine delivery systems and all tobacco products specifically target children, adolescents, and young adults. Protecting our youth from these harmful tactics is a top priority.

Self-report underestimates the frequency of the acute respiratory exacerbations of COPD but is associated with BAL neutrophilia and lymphocytosis: an observational study

RATIONALE

Research studies typically quantify acute respiratory exacerbation episodes (AECOPD) among people with chronic obstructive pulmonary disease (COPD) based on self-report elicited by survey questionnaire. However, AECOPD quantification by self-report could be inaccurate, potentially rendering it an imprecise tool for identification of those with exacerbation tendency.

OBJECTIVE

Determine the agreement between self-reported and health records-documented quantification of AECOPD and their association with airway inflammation.

METHODS

We administered a questionnaire to elicit the incidence and severity of respiratory exacerbations in the three years preceding the survey among current or former heavy smokers with or without diagnosis of COPD. We then examined electronic health records (EHR) of those with COPD and those without (tobacco-exposed persons with preserved spirometry or TEPS) to determine whether the documentation of the three-year incidence of moderate to very severe respiratory exacerbations was consistent with self-report using Kappa Interrater statistic. A subgroup of participants also underwent bronchoalveolar lavage (BAL) to quantify their airway inflammatory cells. We further used multivariable regressions analysis to estimate the association between respiratory exacerbations and BAL inflammatory cell composition with adjustment for covariates including age, sex, height, weight, smoking status (current versus former) and burden (pack-years).

RESULTS

Overall, a total of 511 participants completed the questionnaire, from whom 487 had EHR available for review. Among the 222 participants with COPD (70 ± 7 years-old; 96% male; 70 ± 38 pack-years smoking; 42% current smoking), 57 (26%) reported having any moderate to very severe AECOPD (m/s-AECOPD) while 66 (30%) had EHR documentation of m/s-AECOPD. However, 42% of those with EHR-identified m/s-AECOPD had none by self-report, and 33% of those who reported m/s-AECOPD had none by EHR, suggesting only moderate agreement (Cohen's Kappa = 0.47 ± 0.07; P < 0.001). Nevertheless, self-reported and EHR-identified m/s-AECOPD events were both associated with higher BAL neutrophils (ß ± SEM: 3.0 ± 1.1 and 1.3 ± 0.5 per 10% neutrophil increase; P ≤ 0.018) and lymphocytes (0.9 ± 0.4 and 0.7 ± 0.3 per 10% lymphocyte increase; P ≤ 0.041). Exacerbation by either measure combined was associated with a larger estimated effect (3.7 ± 1.2 and 1.0 ± 0.5 per 10% increase in neutrophils and lymphocytes, respectively) but was not statistically significantly different compared to the self-report only approach. Among the 184 TEPS participants, there were fewer moderate to very severe respiratory exacerbations by self-report (n = 15 or 8%) or EHR-documentation (n = 9 or 5%), but a similar level of agreement as those with COPD was observed (Cohen's Kappa = 0.38 ± 0.07; P < 0.001).

DISCUSSION

While there is modest agreement between self-reported and EHR-identified m/s-AECOPD, events are missed by relying on either method alone. However, m/s-AECOPD quantified by self-report or health records is associated with BAL neutrophilia and lymphocytosis.

Interleukin 33: a suitable target for biological therapies of COPD?

Because of the relevant importance of the IL-33/ST2 axis in COPD pathobiology, the future results of AERIFY-1 and AERIFY-2 trials could disclose new information about subgroups of responder patients to biologic therapies for this highly prevalent disease https://bit.ly/3USJCUP.

Mechanisms underlying the effects, and clinical applications, of oral microbiota in lung cancer: current challenges and prospects

The oral cavity contains a site-specific microbiota that interacts with host cells to regulate many physiological processes in the human body. Emerging evidence has suggested that changes in the oral microbiota can increase the risk of lung cancer (LC), and the oral microbiota is also altered in patients with LC. Human and animal studies have shown that oral microecological disorders and/or specific oral bacteria may play an active role in the occurrence and development of LC through direct and/or indirect mechanisms. These studies support the potential of oral microbiota in the clinical treatment of LC. Oral microbiota may therefore be used in the prevention and treatment of LC and to improve the side effects of anticancer therapy by regulating the balance of the oral microbiome. Specific oral microbiota in LC may also be used as screening or predictive biomarkers. This review summarizes the main findings in research on oral microbiome-related LC and discusses current challenges and future research directions.