| Title: | Circulating proteomic landscape of lung function. |
| Journal: | European Respiratory Journal |
| Published: | 19 Feb 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41713944/ |
| DOI: | https://doi.org/10.1183/13993003.01528-2025 |
Publication 17701
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Abstract
BACKGROUND: Large-scale genetic and epigenetic studies have identified numerous genes linked to lung function. However, proteomics, which can offer more direct insights into pathophysiologic processes, remains underexplored. We aimed to identify circulating proteins related to lung function.</p>
METHODS: In 20 823 adults (71% European, 15% African, and 15% Asian ancestries) across five cohorts we investigated spirometry parameters (FEV1, FVC, and FEV1/FVC) in relation to abundance in circulation of 4693 proteins assessed using the SOMAScan™ platform. Study-level associations were determined using robust linear regression, adjusting for confounders including age, sex, height, weight, and smoking. Results were then meta-analysed using inverse-variance weighting.</p>
RESULTS: In this multi-ancestry population, 1055 proteins were significantly associated with a lung function trait after Bonferroni correction (p<1×10-5). The 473 enriched pathways identified include those involving inflammation and organismal injury. Protein-protein networks indicate potential orchestrators of lung function, including STAT3 and EGFR. Associations with 411 proteins were validated in the UK Biobank using the Olink 3K platform (560 overlapping proteins). 179 proteins identified were related to COPD in our data. While most associated proteins are likely biomarkers of impaired lung function, Mendelian randomisation provides preliminary evidence suggesting potential causality for 34 proteins. Our findings include known biomarkers of lung diseases including COPD. Notably, 89% of associated proteins have not been previously implicated in lung function.</p>
CONCLUSION: This comprehensive investigation identified novel protein-lung function associations that could improve understanding of lung disease pathogenesis, aid in the discovery of circulating biomarkers and accelerate development of new management strategies for respiratory conditions.</p>
24 Authors
- Mikyeong Lee
- Thomas R Austin
- Yura Lee
- Ahmed Edris
- Gisli Thor Axelsson
- Gaurav Thareja
- Jing Chen
- Traci M Bartz
- Valborg Gudmundsdottir
- John S House
- Kelly V Ruggles
- Liming Li
- Aziz Belkadi
- Zhengming Chen
- Lori L Jennings
- Karsten Suhre
- Alison A Motsinger-Reif
- Martin D Tobin
- Vilmundur Gudnason
- Robin G Walters
- Bruce M Psaty
- Sina A Gharib
- Bing Yu
- Stephanie J London
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