Abstract:Aim To analyze the levels and correlations of serum HOX transcript antisense RNA (HOTAIR), serine/arginine-rich splicing factor 1(SRSF1), mammalian target of rapamycin (mTOR) pathway markers phosphorylated eukaryotic translation initiation factor 4E binding protein 1/eukaryotic translation initiation factor 4E binding protein 1 (p4EBP1/4EBP1) ratio, NOD-like receptor protein 3 (NLRP3) inflammasome, and systemic inflammatory response index (SIRI) in patients with coronary heart disease (CHD), and to evaluate their predictive value for the severity of coronary stenosis. Methods During the period from January to December 2024, a total of 120 CHD patients (60 mild and 60 severe stenosis cases) and 60 healthy controls who received care in the Cardiology Department of the Second Hospital of Shanxi Medical University were recruited. Serum level of HOTAIR was measured by RT-qPCR, while SRSF1,4EBP1, p4EBP1, and NLRP3 levels were measured by enzyme-linked immunosorbent assay(ELISA). SIRI was calculated from the neutrophil, monocyte, and lymphocyte counts, the severity of coronary stenosis was evaluated using the Gensini scoring system. The efficacy of these biomarkers was assessed by Spearman correlation analysis, ordinal Logistic regression, and receiver operating characteristic (ROC) curve analysis. Results ①In severe stenosis group and mild stenosis group, serum levels of HOTAIR, SRSF1, p4EBP1/4EBP1 ratio, and SIRI were higher than those in healthy control group (all P<0.001). In contrast, NLRP3 level increased only in the severe stenosis group(P<0.001). ②Spearman correlation analysis revealed significant positive correlations between all measured biomarkers and the severity of coronary stenosis, as well as among the biomarkers themselves (all P<0.001). NLRP3 level was positively correlated with stenosis severity and other biomarkers (P<0.05), but not with the p4EBP1/4EBP1 ratio (P>0.05). ③Ordinal Logistic regression analysis showed elevated levels of these biomarkers were all independent risk factors for the severity of coronary stenosis (all P<0.05). ④ROC curve analysis demonstrated that all biomarkers had significant predictive efficacy for severe coronary stenosis (all P<0.001), and the predictive ability of HOTAIR, SRSF1, and SIRI levels was significantly higher than that of the p4EBP1/4EBP1 ratio and NLRP3 level. Conclusion Serum levels of HOTAIR, SRSF1, mTOR pathway markers, NLRP3, and SIRI in patients with CHD show a coordinated elevation and are closely associated with the severity of coronary stenosis. HOTAIR, SRSF1, and SIRI demonstrate high predictive value for severe coronary stenosis, offering new insights into the inflammatory mechanisms and noninvasive diagnosis of CHD.