摘要
目的了解代谢综合征（MS）患者脑细胞代谢及神经纤维微结构的变化。方法研究对象分为MS组15例,其中男性4例、女性11例;年龄47~70岁,平均年龄（62.60±6.74）岁。对照组17例,其中男性5例、女性12例;年龄50~69岁,平均年龄（58.41±5.52）岁。均予以一般项目及头颅MRI、磁共振波谱（MRS）及MR弥散张量成像（DTI）检查,分析两组N-乙酰天冬氨酸（NAA）、乙酰胆碱（Cho）、肌酸（Cr）及部分各向异性（FA）值检查结果。结果 MS组NAA/Cr、NAA/Cho明显降低,Cho/Cr明显升高;FA值明显降低;NAA/Cr与糖尿病、低密度脂蛋白相关,FA值与高血压病、高脂血症、肥胖相关;NAA/Cr、NAA/Cho与MS病程年限相关（均P〈0.05）。结论病程5年以上的MS患者脑细胞代谢及神经纤维微结构已有损害,其程度与代谢异常程度及病程明显相关。
Aim To understand the changes of metabolism of brain cells and nerve fiber microarchitecture in patients with metabolic syndrome（MS）.Methods All participants were divided into two groups in our study,the patient group and the control group.The patient group had 15 cases,4 male,11 female,between 47-70 years old,whose average age was（62.60±6.74） years old.The control group had 17 cases,5 male,12 female,between 50-69 years old,whose average age was（58.41±5.52） years old.Their body height,weight,blood pressure,blood glucose,blood lipid and nerves function rating scales were measured.Then their brains were examined by using magnetic resonance imaging（MRI）,magnetic resonance spectroscopy（MRS） and MRI DTI.Results Compared with the control group,significant decline of NAA/Cr and NAA/Cho was found.And significant increase of Cho/Cr was found too.At the same time significant decline of FA values was found in the MS patients.Moreover correlation analysis was made.The ratio of NAA/Cr was associated with blood glucose and LDL.The FA values was associated with hypertension,hyperlipidemia and obesity,meanwhile the ratio of NAA/Cr and NAA/Cho was associated with the course of metabolism dysfunction（P0.05）.Conclusion In the patients of metabolic syndrome with the course longer than 5 years,there were abnormalities of brain cell metabolism and nerve fiber microarchitecture,and the severity was related to the degree and the course of metabolism dysfunction.
出处
《中国临床神经科学》
2013年第4期381-388,共8页
Chinese Journal of Clinical Neurosciences
基金
广东省科技厅基金资助项目(编号:2009B030801042)
关键词
代谢综合征
磁共振波谱
弥散张量成像
metabolic syndrome
magnetic resonance spectroscopy
diffusion tensor imaging
