Late Breaking Abstract - Proteome profiling of plasma reveals biomarkers of COPD associated pulmonary hypertension

<bold>Introduction:</bold> Chronic obstructive pulmonary disease (COPD) associated pulmonary hypertension (COPD-PH), one of the most prevalent forms of PH, is a major burden on the healthcare system. A non-invasive and accurate method for identifying COPD-PH is needed. <bold>Methods:</bold> We recruited 60 COPD patients, 53 COPD-PH patients, and 35 healthy controls in our study. Plasma samples were collected for four-dimensional data-independent acquisition (4D-DIA) based proteomics analysis. <bold>Results:</bold> Principal component analysis revealed considerable differences in plasma protein expression profiles among the COPD, COPD-PH, and healthy groups. The 48 core differential proteins between the COPD and COPD-PH groups were enriched in lipid and mitochondria related pathways. The 48 core differential proteins were correlated with pulmonary artery pressure, disease duration, disease severity, systolic blood pressure, and pulmonary function parameters of patients. The area under the curve of the machine learning model for 8 proteins including FAM210B, GRK3, HIGD1A, IFT81, OSBPL11, RTN3, TOMM6 and UBE2D3 reached 0.9897 (95% confidence interval [CI]= 0.9761-1) in the discovery set and 0.9688 (95% [CI]= 0.922-1) in the validation set. <bold>Conclusion:</bold> This study developed reliable biomarkers for the identification of COPD-PH and revealed the underlying pathogenesis of the disease, providing clues for exploring new treatment strategies. <fig><object-id>erj;64/suppl_68/OA4575/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>