摘要
目的:研究早期急性脑梗死患者血清MMP-9、S100水平与血脑屏障损伤的相关性。方法:2019年1月-2020年2月收治急性脑梗死患者51例,作为急性脑梗死组;另选取同期健康体检者36例,作为对照组。分析比较两组血清MMP-9、S100水平与血脑屏障损伤的相关性。结果:急性脑梗死组血清S100、MMP9水平明显高于对照组,差异有统计学意义(P<0.05);S100、MMP9、CRP、NSE水平随着神经功能损害程度加重逐渐升高;随着急性脑梗死面积的增大,血清S100、MMP9、NSE水平逐渐升高。结论:随着颅脑CT、颅脑MR在临床的广泛应用,在很大程度上提高了急性脑梗死的诊断效率。但脑梗死急性加重先出现血脑屏障破坏,随后进展为脑实质内炎性相关损伤,因此早期检测血脑屏障功能动态变化,可以及早发现脑组织损伤程度并预测疾病进展。
Objective:To study the correlation between serum MMP-9,S100 levels and blood-brain barrier injury in patients with early acute cerebral infarction.Methods:From January 2019 to February 2020,51 cases of patients with acute cerebral infarction were enrolled as acute cerebral infarction group,another 36 cases of healthy people during the same period were enrolled as the control group.The MMP-9 and S100 levels were compared and the correlation between serum MMP-9,S100 level and blood-brain barrier injury were analyzed.Results:The serum S100,MMP9 levels in acute cerebral infarction group was significantly higher than that in control group,the differences were statistically significant(P<0.05).The levels of S100,MMP9,CRP and NSE gradually increased with the aggravation of neurological damage.As the area of acute cerebral infarction increased,the levels of serum S100,MMP9 and NSE gradually increased.Conclusion:With the wide application of brain CT and brain MR in clinic,the diagnostic efficiency of acute cerebral infarction has been improved to a large extent.However,in the early stage of acute exacerbation of cerebral infarction,the blood-brain barrier is destroyed first and then it progresses to inflammation-related damage in the brain parenchyma.Therefore,early detection of the dynamic changes of the blood-brain barrier function can detect the degree of brain tissue damage and predict disease progression.
作者
黄文娟
张雯雯
岳婵娟
程星
张侠
陈巍巍
Huang Wenjuan;Zhang Wenwen;Yue Chanjuan;Cheng Xing;Zhang Xia;Chen Weiwei(Department of Neurology,the Central Hospital of Xuzhou City,Jiangsu Xuzhou 221000;Department of Laboratory,the Central Hospital of Xuzhou City,Jiangsu Xuzhou 221000)
出处
《中国社区医师》
2020年第36期108-109,共2页
Chinese Community Doctors
基金
徐州市科技局项目(项目编码KC19027,KC18038)。
