Analysis of Blood Biomarkers in Patients with Chronic Obstructive Pulmonary Disease (COPD) and with Asthma-COPD Overlap (ACO).

Chronic obstructive pulmonary disease (COPD) is a heterogeneous entity with different clinical phenotypes, such as asthma-COPD overlap (ACO). The aim of this retrospective study was to compare routine blood biomarkers in patients with ACO and the remaning COPD phenotypes. Data were collected from stable COPD patients visited in during 2018, including C-reactive protein (CRP), fibrinogen, neutrophyl/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR).A total of 77 patients with COPD were included, 24 (31%) fulfilled the diagnosis of ACO. Clinically, patients with ACO presented more dyspnoea and wheezing. Regarding laboratory parameters, both groups had low levels of lymphocytes, especially the non-ACO group (24.2% vs. 29.3%; p = 0.031), patients with ACO had significantly higher eosinophil counts (4.7% vs. 1.9%; p < 0.001) but a lower percentage of neutrophils (56.8% vs. 64.7%; p = 0.003), NLR and PLR (2.5 vs. 3.8; p = 0.013 and 115 vs. 160; p = 0.063, respectively). In conclusion, besides the expected eosinophilic inflammation in patients with ACO, both groups had low levels of lymphocytes, especially the non-ACO group. The low levels of lymphocytes, in particular in non-ACO patients, should be confirmed in larger studies.

Serum IL-8 and VEGFA are Two Promising Diagnostic Biomarkers of Asthma-COPD Overlap Syndrome.

Background: Asthma-COPD overlap (ACO; previously referred to as asthma-COPD overlap syndrome) is characterized by persistent airflow limitation consistent with COPD, together with several distinguishing features of asthma. Asthma-COPD overlap syndrome is a condition of mixing symptoms of asthma and COPD, because of its complexity, it is difficult to find effective diagnostic markers in clinic. Purpose: Our aims were to detect the expression of serum cytokines in patients with asthma, explore the diagnostic potential of differential serum cytokines in ACOS. Patients and Methods: Ninety asthmatic patients were divided into ACOS group and non-ACOS group according to the major and minor criteria of ACOS, 15 kinds of cytokines including IL-3, IL-4, IL-8, IL-9, IL-13, IL-17A, VEGFA, VEGFC, VEGFD, bFGF, Fit-1 PIGF, Tie-2 were detected by MSD, and IL-27 and TGF-beta were determined by ELISA assay. Results: The serum levels of IL-9, VEGFA and PIGF in patients with ACOS were significantly higher than those in non-ACOS group (P<0.05, respectively), while the level of IL-8 and IL-17A in subjects with ACOS was lower than that in the non-ACOS group (P<0.05, respectively). We analyzed the correlation between several difference factors and FEV1/FVC% in the ACOS group, found VEGFA was negatively correlated with FEV1/FVC%, while IL-8 and IL-17A were positively correlated with FEV1/FVC%. Finally, three correlation factors were analyzed by ROC curve for the occurrence of ACOS. Conclusion: The results suggested that IL-8 was highly sensitive and VEGFA was highly specificity, both of which could be used as biomarkers for the diagnosis of ACOS.

The relationship between inflammatory markers and spirometric parameters in ACOS, Asthma, and COPD.

Objective: The inflammatory mechanisms underpinning asthma-chronic obstructive pulmonary disease (COPD) overlap syndrome (ACOS) have not been fully elucidated. Here, we examined the levels of cysteinyl leukotrienes (cys-LTs), prostaglandin D2 (PG-D2), prostaglandin E2 (PG-E2), interleukin 5 (IL-5), and a disintegrin and metalloprotease domain (ADAM 33) in ACOS patients to determine the relationship between levels of these inflammatory markers and pulmonary functions.Methods: Blood samples were obtained from asthma, COPD, and ACOS patients who received combined therapy and were stable for the last month to measure cys-LTs, PG-D2, PG-E2, IL-5, and ADAM33 levels. Differences between groups and their correlations with pulmonary function tests were evaluated.Results: In total, 24 ACOS, 27 asthma, and 35 COPD patients were included. . PG-D2 levels were higher in ACOS (120.9 ± 117.2 ng/L) and asthma (119.6 ± 111.7 ng/L) patients than in COPD (82.6 ± 46.7 ng/L) patients (p = 0.036 and p = 0.038, respectively). In ACOS patients, PG-D2, cys-LTs, and ADAM33 levels were negatively correlated with FEV1/FVC% values (p = 0.021, p = 0.008, and p = 0.028, respectively). In COPD patients, a negative correlation was detected between PG-E2 and FEV1/FVC% (p = 0.007), whereas positive correlations were detected between IL-5 and pulmonary function tests, including FVC, FVC%, FEV1, FEV1%, FEF25-75, and FEF25-75% (p = 0.047, p = 0.005, p = 0.002, p = 0.002, p = 0.010, and p = 0.005, respectively). In asthma patients, cys-LTs levels were negatively correlated with FEV1 and FEF25-75 values (p = 0.045 and p = 0.037, respectively).Conclusions: PG-D2 levels may be a valuable biomarker to differentiate COPD in asthma and ACOS patients.

Metabolomic signatures of asthma-COPD overlap (ACO) are different from asthma and COPD.

INTRODUCTION: Asthma-chronic obstructive pulmonary disease (COPD) overlap, termed as ACO, is a complex heterogeneous disease without any clear diagnostic or therapeutic guidelines. The pathophysiology of the disease, its characteristic features, and existence as a unique disease entity remains unclear. Individuals with ACO have a faster lung function decline, more frequent exacerbations, and worse quality of life than those with COPD or asthma alone. OBJECTIVES: The present study aims to determine whether ACO has a distinct metabolic profile in comparison to asthma and COPD. METHODS: Two different groups of patients were recruited as discovery (D) and validation (V) cohorts. Serum samples obtained from moderate and severe asthma patients diagnosed as per GINA guidelines [n = 34(D); n = 32(V)], moderate and severe COPD cases identified by GOLD guidelines [n = 30(D); 32(V)], ACO patients diagnosed by joint GOLD and GINA guidelines [n = 35(D); 40(V)] and healthy controls [n = 33(D)] were characterized using nuclear magnetic resonance (NMR) spectrometry. RESULTS: Multivariate and univariate analysis indicated that 12 metabolites [lipid, isoleucine, N-acetylglycoproteins (NAG), valine, glutamate, citric acid, glucose, L-leucine, lysine, asparagine, phenylalanine and histidine] were dysregulated in ACO patients when compared with both asthma and COPD. These metabolites were further validated in a fresh cohort of patients, which again exhibited a similar expression pattern. CONCLUSIONS: Our findings suggest that ACO has an enhanced energy and metabolic burden associated with it as compared to asthma and COPD. It is anticipated that our results will stimulate researchers to further explore ACO and unravel the pathophysiological complexities associated with the disease.