# Induced Sputum Multi-Omics Reveals Airway Signatures of COPD in Smokers: A Pilot Study

**Authors:** Kaja Pulik, Piotr Korczyński, Katarzyna Mycroft-Rzeszotarska, Iga Ciesielska-Markowska, Magdalena Kucia, Magdalena Paplińska-Goryca, Diana Wierzbicka, Kannathasan Thetchinamoorthy, Zofia Wicik, Katarzyna Górska

PMC · DOI: 10.3390/ijms27052271 · International Journal of Molecular Sciences · 2026-02-28

## TL;DR

This pilot study uses multi-omics of induced sputum to identify airway molecular signatures in smokers with and without COPD, revealing potential biomarkers and pathways.

## Contribution

The study introduces a novel multi-omics approach using induced sputum to uncover airway-specific molecular signatures in COPD.

## Key findings

- COPD was associated with increased glutathione, creatine, and L-arginine, and altered lipid profiles.
- Network analysis identified STAT3 as a central node linking COPD-related genes.
- Findings suggest oxidative stress and cytoskeletal remodeling as key processes in COPD.

## Abstract

Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide, yet only a fraction of smokers develops the disease, suggesting protective mechanisms in resilient individuals. Identifying airway-localized molecular signatures may improve our understanding of disease pathomechanisms and support hypothesis generation for biomarker research. In this pilot study, induced sputum from smokers with COPD (n = 28) and smokers without COPD (n = 16; Global Initiative for Chronic Obstructive Lung Disease (GOLD)-defined pre-COPD) was analyzed by untargeted proteomics, metabolomics, and lipidomics. After quality control, 1180 proteins, 187 metabolites, and 1234 lipids were retained. Analyses included univariate models with false discovery rate adjustment and multivariate analyses (PCA, PLS-DA), followed by pathway enrichment and protein interaction network analysis. While few features remained significant after FDR correction, consistent cross-omics patterns were observed. COPD was characterized by ↑ glutathione, creatine, and L-arginine; ↓ CCDC88A and ↑ STAT3 and SYDE2; and broad lipid remodeling involving phosphatidylcholines, sphingolipids, and eicosanoids. Network analysis highlighted STAT3 as a highly connected node linking COPD-related genes. These findings suggest that the multi-omic profiling of induced sputum can capture coherent airway-localized molecular signatures such as oxidative stress, cytoskeletal remodeling, and Rho-family GTPase signaling. However, the results should be interpreted as exploratory and require validation in functional studies.

## Linked entities

- **Genes:** CCDC88A (coiled-coil and HOOK domain protein 88A) [NCBI Gene 55704], STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774], SYDE2 (synapse defective Rho GTPase homolog 2) [NCBI Gene 84144]
- **Chemicals:** glutathione (PubChem CID 124886), creatine (PubChem CID 586), L-arginine (PubChem CID 232), phosphatidylcholines (PubChem CID 24778708), eicosanoids (PubChem CID 163114539)
- **Diseases:** COPD (MONDO:0005002)

## Full-text entities

- **Genes:** SYDE2 (synapse defective Rho GTPase homolog 2) [NCBI Gene 84144], CCDC88A (coiled-coil and HOOK domain protein 88A) [NCBI Gene 55704] {aka APE, GIRDIN, GIV, GRDN, HkRP1, KIAA1212}, STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774] {aka ADMIO, ADMIO1, APRF, HIES}
- **Diseases:** COPD (MESH:D029424)
- **Chemicals:** sphingolipids (MESH:D013107), glutathione (MESH:D005978), phosphatidylcholines (MESH:D010713), creatine (MESH:D003401), Multi (-), lipid (MESH:D008055), eicosanoids (MESH:D015777), L-arginine (MESH:D001120)

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12984585/full.md

## References

41 references — full list in the complete paper: https://tomesphere.com/paper/PMC12984585/full.md

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Source: https://tomesphere.com/paper/PMC12984585