Reduced Serum sRAGE Levels Identify COPD and Reflect Disease Severity: Findings from a Cross-Sectional Study in India
Venkateshkumar Chandanna Seri1, Mohammed Kaleem Ullah2, Jayaraj Biligere Siddaiah1
1Department of Respiratory Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru 570015, India.
Abstract:
Background: Chronic Obstructive Pulmonary Disease (COPD) remains a leading cause of morbidity and mortality worldwide, particularly in low- and middle-income countries (LMICs), where both tobacco and biomass smoke exposure are major risk factors. While spirometry is the diagnostic gold standard, reliable non-invasive biomarkers are needed for early detection and disease monitoring. The soluble receptor for advanced glycation end-products (sRAGE), a circulating decoy receptor with anti-inflammatory activity, has shown potential in this context. Methods: In this prospective, exposure-stratified, cross-sectional study, 150 adults were enrolled into four groups of 25 each-tobacco-smoke COPD, male tobacco-exposed controls, biomass-smoke COPD, and female biomass-exposed controls-along with 50 healthy controls (25 males, 25 females). Participants underwent clinical evaluation, spirometry, and serum sRAGE quantification (ELISA). Systemic inflammation was assessed using neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). Correlation and receiver operating characteristic (ROC) analyses determined diagnostic performance. Results: Serum sRAGE levels were significantly lower in tobacco-induced (545 ng/mL) and biomass-induced COPD (540 ng/mL) versus controls (1207-1462 ng/mL; p < 0.001). sRAGE correlated positively with FEV1, FVC, and FEV1/FVC (r = 0.54-0.75, p < 0.001), and negatively with CAT, mMRC, and SGRQ-C. ROC analysis showed excellent discrimination (AUC = 0.990; 94% sensitivity; 96% specificity at 946 ng/mL cutoff). Conclusions: Serum sRAGE is a robust, non-invasive biomarker for COPD diagnosis and severity assessment across exposure phenotypes. Its integration into clinical practice may enhance early detection and risk stratification, particularly in LMICs.
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