Affiliation:
1. Department of Neurology The First Affiliated Hospital of Chongqing Medical University Chongqing China
2. NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases The First Affiliated Hospital of Chongqing Medical University Chongqing China
3. Department of Neurology The Second Hospital of Anhui Medical University Hefei China
4. Department of Neurology Yongchuan Hospital of Chongqing Medical University Chongqing China
5. Chongqing Key Laboratory of Cerebrovascular Disease Research Chongqing China
Abstract
AbstractBackground and ObjectiveInflammation has emerged as a prominent risk factor for cerebral small vessel disease (CSVD). However, the specific association between various inflammatory biomarkers and the development of CSVD remains unclear. Serine proteinase inhibitor A3 (SERPINA3), Matrix metalloproteinase‐9 (MMP‐9), Tissue inhibitor metalloproteinase‐1 (TIMP‐1), Monocyte Chemoattractant Protein‐1 (MCP‐1) are several inflammatory biomarkers that are potentially involved in the development of CSVD. In this present study, we aimed to investigate the relationship between candidate molecules and CSVD features.MethodThe concentration of each biomarker was measured in 79 acute ischemic stroke patients admitted within 72 h after symptom onset. The associations between blood levels of inflammatory markers and CSVD score were investigated, as well as each CSVD feature, including white matter hyperintensities (WMH), lacunes, and enlarged perivascular spaces (EPVS).ResultsThe mean age was 69.0 ± 11.8 years, and 65.8% of participants were male. Higher SERPINA3 level (>78.90 ng/mL) was significantly associated with larger WMH volume and higher scores on Fazekas's scale in all three models. Multiple regression analyses revealed the linear association between absolute WMH burden and SERPINA3 level, especially in model 3 (β = 0.14; 95% confidence interval [CI], 0.04–0.24p ). Restricted cubic spline regression demonstrated a dose–response relationship between SERPINA3 level and larger WMH volume (p nonlineariy = 0.0366 and 0.0378 in model 2 and mode 3, respectively). Using a receiving operating characteristic (ROC) curve, plasma SERPINA3 level of 64.15 ng/mL distinguished WMH >7.8 mL with the highest sensitivity and specificity (75.92% and 60%, respectively, area under curve [AUC] = 0.668, p = 0.0102). No statistically significant relationship has been found between other candidate biomarkers and CSVD features.ConclusionIn summary, among four inflammatory biomarkers that we investigated, SERPINA3 level at baseline was associated with WMH severity, which revealed a novel biomarker for CSVD and validated its relationship with inflammation and endothelial dysfunction.
Funder
National Natural Science Foundation of China
Subject
Pharmacology (medical),Physiology (medical),Psychiatry and Mental health,Pharmacology
Cited by
1 articles.
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