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F. Dudbridge

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Open access Sep 2026

Proteome-wide Mendelian randomisation of lung function to identify potential therapeutic targets for respiratory disease

Background Despite multiple clinical trials, disease-modifying treatments for COPD are currently limited. Since many drugs target proteins, identifying causality between proteins and lung function informs understanding of COPD pathophysiology and may suggest novel targets. We used Mendelian randomisation (MR) to prioritise proteins as potentially causal for imparied lung function. For prioritised proteins, we explored their potential suitability as drug targets by predicting their effects on a range of clinical outcomes. Methods We used genome-wide association study (GWAS) data on 2923 proteins (n=48 195, UK Biobank) to identify single genetic variants (protein quantitative trait loci (cis-pQTLs)) associated with protein levels (p≤5×10−9, variant ≤100 kb of a transcription start site). We performed cis-pQTL-MR analyses of four spirometric traits (n=149 166, 36 independent cohorts). Sensitivity analyses included colocalisation and reverse direction MR. We report associations between cis-pQTLs for prioritised proteins and multiple clinical respiratory outcomes, and use phenome-wide analysis to explore potential adverse effects or drug repurposing opportunities. Findings 1841 proteins had a suitable cis-pQTL. We implicated 16 proteins as potentially causal for lung function (p<1.71×10−5): seven proteins have not been implicated by previous lung function GWAS or MR (CCND2, DTD1, PILRA, PTPRK, TDRKH, GRHPR, NUDT5), and we provide corroborative evidence for 10 proteins. We add to the literature identifying surfactant protein D (SFTPD) as a candidate, yet predict that integrin subunit alpha V (ITGAV) inhibition could impair some lung function measures, mimicking adverse results from a recent trial. Interpretation Our approach identifies proteins (some novel) that are potentially therapeutic targets for respiratory disease, and which warrant follow-up for utility and safety.

Jing Chen, N. Shrine, Kayesha Coley et al. · 0 citations
Open access Jul 2026

Does diet modify the effects of air pollution on lung function? A large cross-sectional study.

BACKGROUND Air pollution and diet both affect lung health and may interact. We investigated whether a healthy diet may modify associations between air pollution and lung function in adults. METHODS Modelled annual-average concentrations of nitrogen dioxide (NO2) and particulate matter with aerodynamic diameters ≤10 μm (PM10) and ≤2.5 μm (PM2.5) were linked to residential address points of 260,982 individuals in the UK Biobank cohort. Averaged air pollution concentrations in the year of spirometry and two years prior to spirometry measurements were used. The healthy diet score (HDS) was calculated based on dietary data collected at baseline. Effect modifications by HDS and individual food components (fruit and vegetables) on the associations of air pollution and lung function were investigated. RESULTS Participants in the highest HDS group had higher forced expiratory volume in 1-second(FEV1) and forced vital capacity(FVC) than those in the lowest group in both males and females. Interactions between HDS and air pollution were not seen. Suggestive evidence of total fruit intake effect modification on PM2.5-FEV1 was observed in females. Exposure to PM2.5 per 5 μg/m3 increment was associated with reduced FEV1 in the low of -14.4 mL(95%CI: -26.8, -2.2) but not in medium and high fruit intake groups (+2.9 mL(95%CI: -13.8,19.7) and +9.7 mL(95%CI: -4.1,23.6), respectively). A similar pattern was observed for FVC. CONCLUSIONS We found suggestive evidence that higher consumption of fruit may partially reduce the adverse effects of air pollution on lung function in females. These findings merit investigation to see if they replicate in other cohorts.

Pimpika Kaewsri, F. Dudbridge, J. Cade et al. · 0 citations

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