Xiaoyu Huang1, Fengzhan Li1, Tingting Yang1, Hao Li1, Tan Liu1, Yingying Wang1, Minmin Xu1, Lisha Yan1, Yong Zhang2, Yuzhong Wang3, Linlin Fu4, Deqin Geng5. 1. Department of Neurology, Affiliated Hospital of Xuzhou Medical University, No. 99 Huaihai West Road, Quanshan Distric, Xuzhou, Jiangsu, China. 2. Department of Neurology, Affiliated Hospital of Xuzhou Medical University, No. 99 Huaihai West Road, Quanshan Distric, Xuzhou, Jiangsu, China. Electronic address: zy20037416@163.com. 3. Department of Neurology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China. 4. Department of Pathogenic Biology and Lab of Infection and Immunology, Xuzhou Medical University, Xuzhou, Jiangsu, China. 5. Department of Neurology, Affiliated Hospital of Xuzhou Medical University, No. 99 Huaihai West Road, Quanshan Distric, Xuzhou, Jiangsu, China. Electronic address: Gengdeqin_123@163.com.
Abstract
BACKGROUND: Recent data reveal that interleukin-34 (IL-34) can drive inflammatory response, thereby participating in the pathogenesis of inflammatory diseases. However, the potential effect of IL-34 in acute ischemic stroke (AIS) remains unknown. The purpose of this study was to explore whether the levels of serum IL-34 were correlated with clinical severity or prognosis in AIS patients. METHODS: In this prospective cohort study, serum IL-34 levels were detected in 150 healthy controls and 155 AIS patients. Univariate and multivariate logistic regression analysis were conducted to investigate the effect of IL-34 on the diagnosis and prognosis of AIS. ROC curve was utilized to evaluate predictive values for IL-34. RESULTS: Serum IL-34 levels at admission were significantly higher in AIS patients than those in the healthy controls. Univariate and multivariate logistics regression analysis showed that IL-34 was an independent predictor of occurrence and functional outcome of AIS. The ROC curve demonstrated that IL-34 had a good predictive effect on the diagnosis and prognosis of AIS. CONCLUSIONS: IL-34 can be used as a novel and independent diagnostic and predicting prognostic biomarker in AIS.
BACKGROUND: Recent data reveal that interleukin-34 (IL-34) can drive inflammatory response, thereby participating in the pathogenesis of inflammatory diseases. However, the potential effect of IL-34 in acute ischemic stroke (AIS) remains unknown. The purpose of this study was to explore whether the levels of serum IL-34 were correlated with clinical severity or prognosis in AIS patients. METHODS: In this prospective cohort study, serum IL-34 levels were detected in 150 healthy controls and 155 AIS patients. Univariate and multivariate logistic regression analysis were conducted to investigate the effect of IL-34 on the diagnosis and prognosis of AIS. ROC curve was utilized to evaluate predictive values for IL-34. RESULTS: Serum IL-34 levels at admission were significantly higher in AIS patients than those in the healthy controls. Univariate and multivariate logistics regression analysis showed that IL-34 was an independent predictor of occurrence and functional outcome of AIS. The ROC curve demonstrated that IL-34 had a good predictive effect on the diagnosis and prognosis of AIS. CONCLUSIONS: IL-34 can be used as a novel and independent diagnostic and predicting prognostic biomarker in AIS.