Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2025 Apr 22:20:1161-1174.
doi: 10.2147/COPD.S506517. eCollection 2025.

Plasma Levels of CXCL9 and MCP-3 are Increased in Asthma-COPD Overlap (ACO) Patients

Affiliations
Comparative Study

Plasma Levels of CXCL9 and MCP-3 are Increased in Asthma-COPD Overlap (ACO) Patients

Jose Miguel Escamilla-Gil et al. Int J Chron Obstruct Pulmon Dis. .

Abstract

Purpose: Asthma and chronic obstructive pulmonary disease overlap patients (ACO) have more exacerbations and a worse prognosis than pure asthma or COPD, and it is of great interest to identify differential biomarkers of ACO. We compared blood eosinophil counts, plasma IgE and protein levels among patients with asthma, ACO, COPD, and healthy subjects to identify those associated with ACO.

Patients and methods: 397 adults (age 40-90 years) were recruited from two Colombian cities: asthma (n=123), COPD (n=100), ACO (n=74) and healthy control (HC, n=100). Plasma protein levels were measured using the Proximity Extension Assay (Olink Proteomics).

Results: There were no differences in blood eosinophil counts between the patient groups. Total and specified IgE levels were higher in patients with ACO than in those with COPD. Ten plasma proteins showed significant differences between the patients with ACO and HC. In patients above 60 years old, CXCL9 discriminates ACO from asthma patients with AUC 0.73 (0.63-0.82, DeLong test p=0.007), and in patients below 60 years old, MCP-3 discriminates ACO from COPD patients with AUC 0.84 (0.62-1.0, DeLong test p=0.006). CUB domain-containing protein 1 (CDCP1) levels (OR, 0.47; p=0.008) and age > 60 years (OR, 0.25; p=0.001) were negatively associated with ACO.

Conclusion: CXCL9 levels could be used to discriminate ACO from asthma patients and MCP-3 to discriminate ACO from COPD. Protein inflammatory signatures in plasma of ACO patients were similar to the COPD group. This study revealed novel biomarkers that may help characterize patients with ACO.

Keywords: COPD; CXCL9; MCP-3; PEA; biomarkers; chronic obstructive pulmonary disease; circulating inflammatory mediators; proximity extension assay.

PubMed Disclaimer

Conflict of interest statement

Dr Kevin Llinás-Caballero reports grants from Ministry of Science of the Republic of Colombia, grants from University of Cartagena, during the conduct of the study. Dr Nathalie Acevedo reports grants from Ministry of Science, Republic of Colombia, during the conduct of the study. The author(s) report no conflicts of interest in this work.

Figures

Figure 1
Figure 1
Type 2 biomarkers in healthy controls (HC), and patients with Asthma, ACO and COPD. (A) total IgE levels, (B) specific IgE levels to house dust mite Dermatophagoides pteronyssinus, (C) blood eosinophil counts, (D) periostin levels. Each dot corresponds to an individual, error bars indicate median and interquartile range; asterisk denote P values: *p < 0.05; **p < 0.01; ***p < 0.001.
Figure 2
Figure 2
Differentially expressed proteins in ACO patients. (A) Volcano plot showing the differences of 67 inflammatory biomarkers between ACO patients and healthy controls. FDR: False Discovery Rate. (B) Venn diagram summarizing differentially expressed proteins in each disease group.
Figure 3
Figure 3
Comparison of plasma levels in immune mediators in healthy controls (HC) and patients with asthma, ACO and COPD. (A) CXCL1, (B) CXCL9, (C) MCP-3 (D) CDCP1. NPX: Normalized Protein Levels; asterisks denote P values: *P < 0.05; **P < 0.01; ***P < 0.001.
Figure 4
Figure 4
Predictive capacity of the models for (A) Asthma vs ACO and (B) COPD vs ACO.
Figure 5
Figure 5
ROC curves for the predictive capacity of plasma mediators to discriminate respiratory phenotypes according to the age of patients: (A) CXCL9 in ACO vs Asthma. (B) MCP-3 in ACO vs COPD. Blue line indicates results in subjects with age above 60 years old and Orange line indicates results in subjects with age below 60 years old. The DeLong test P value denotes the difference between the AUC curves.Plasma levels of CXCL9 and MCP-3 are increased in asthma-COPD overlap (ACO) patients.

References

    1. Chen S, Kuhn M, Prettner K, et al. The global economic burden of chronic obstructive pulmonary disease for 204 countries and territories in 2020-50: a health-augmented macroeconomic modelling study. Lancet Glob Health. 2023;11(8):e1183–e1193. doi:10.1016/S2214-109X(23)00217-6 - DOI - PMC - PubMed
    1. Buist AS. Similarities and differences between asthma and chronic obstructive pulmonary disease: treatment and early outcomes. Eur Respir J Suppl. 2003;39:30s–35s. doi:10.1183/09031936.03.00404903 - DOI - PubMed
    1. Barnes PJ. Cellular and molecular mechanisms of asthma and COPD. Clin Sci. 2017;131(13):1541–1558. doi:10.1042/CS20160487 - DOI - PubMed
    1. McDonald VM, Gibson PG. Treatable traits in asthma and COPD. Arch Bronconeumol. 2022;58(8):583–585. doi:10.1016/j.arbres.2021.07.003 - DOI - PubMed
    1. Irusen EM, Meiring D, Koegelenberg CFN. Asthma-COPD overlap and asthma progressing to COPD: are we using the right diagnostic approaches and pathways? Respirology. 2024;29(9):756–758. doi:10.1111/resp.14731 - DOI - PubMed

Publication types

MeSH terms