Multiomics Mendelian randomization identifies serpin family G member 1 as a chronic obstructive pulmonary disease modulator.
Summary
Using multi-omics MR across cohorts and translational validation, SERPING1 emerged as a causal COPD modulator. Higher circulating SERPING1 predicted slower early FEV1 decline and AAV-driven overexpression in smoke-exposed mice improved lung function and alveolar integrity, positioning SERPING1 as both biomarker and therapeutic target.
Key Findings
- SERPING1 pQTLs associate with COPD risk and improved lung function metrics (FEV1, FEV1/FVC).
- Higher circulating SERPING1 causally linked to slower early FEV1 decline in UK Biobank (−22.1 mL/year per SD) and ECOPD (−0.73 mL/year per ng/mL).
- AAV-mediated SERPING1 overexpression improved lung function, reduced alveolar destruction, and upregulated elastic fiber–related genes in smoke-exposed mice.
- Population differences observed: higher SERPING1 expression in European vs Asian smokers/COPD patients.
Clinical Implications
SERPING1 could be used to risk-stratify COPD patients for rapid lung function decline and represents a tractable complement-pathway target, opening avenues for host-directed therapy and potential population-tailored interventions.
Why It Matters
This study bridges genetic causality with mechanistic and in vivo validation, nominating a complement regulator as a modifiable COPD pathway with immediate biomarker utility.
Limitations
- Causal inference via MR assumes no horizontal pleiotropy; residual confounding cannot be fully excluded.
- Population differences and translational gaps from mouse models may limit generalizability and clinical extrapolation.
Future Directions
Prospective validation of SERPING1 as a predictive biomarker for lung function decline, mechanistic dissection of complement signaling in COPD endotypes, and early-phase trials of SERPING1/complement modulation stratified by ancestry.
Study Information
- Study Type
- Cohort
- Research Domain
- Pathophysiology
- Evidence Level
- II - Well-conducted cohort analyses with genetic causal inference and supportive animal experiments.
- Study Design
- OTHER