气相色谱质谱联用技术检测新生儿脓毒症血清标志物  

Gas chromatography-mass spectrometry technology for finding serum markers of neonatal sepsis

作　　者：周丽[1,2] 张万巧[2] 李秋平[1] 封志纯[1,2] 

机构地区：[1]安徽医科大学北京军区总医院临床学院临味遗传学中心,北京100700 [2]北京军区总医院附属八一儿童医院临床遗传学中心

出　　处：《中华实用儿科临床杂志》2013年第14期1054-1057,共4页Chinese Journal of Applied Clinical Pediatrics

基　　金：国家自然科学基金（31100603）

摘　　要：目的比较脓毒症与非脓毒症新生儿血清代谢物差异，寻找本病潜在生物标志物。方法选取北京军区总医院附属八一儿童医院新生儿中心2012年8月至2013年2月住院患儿中诊断为脓毒症的新生儿30例作为病例组，非脓毒症新生儿30例作为对照组。桡动脉取全血1．5mL，4℃离心后取上清，置-80℃冰箱保存，标本室温解融，标本前处理后气相色谱质谱联用（GC—MS）技术采集数据。去噪、峰检测、峰面积积分由仪器自带软件完成，Matlab2011软件进行数据标准化处理及建立主要成分分析（PCA）和偏最小二乘法一判别分析（PLS—DA）模型，联合t检验筛选潜在生物标志物。结果病例组和对照组血清代谢产物差异在PCA和PLS-DA模型中直观可见，结合t检验，与对照组相比，病例组血清葡萄糖、乳酸、尿素、丙酮酸、苯丙氨酸、丙氨酸水平较高，亮氨酸、异亮氨酸、谷氨酰胺、棕榈酸、棕榈油酸、亚油酸、硬脂酸水平较低，上述13种物质组成的判别式用于新生儿脓毒症诊断时，灵敏度为93．33％，特异度为100．00％，约登指数为0．9333，符合率为96．66％。结论GC—MS技术可以用于新生儿脓毒症的检测，上述物质组成的判别式可用于新生儿脓毒症的诊断。Objective To find the potential biomarkers of neonatal sepsis through comparing neonates with sepsis and without sepsis in serum metabolin differences. Methods Thirty neonates ,who were diagnosed as sepsis from the Neonatal Center of Bayi Children＇s Hospital Affiliated to Beijing Military Region General Hospital during Aug. 2012 to Feb. 2013, were enrolled as the experimental group;while another 30 non-sepsis neonates were selected as the control group, the data of them were not significantly different from those of the experimental group. 1.5 mL supernatant of ra- dial artery blood was saved in -80 ℃ refrigerator after centrifugation in 4 ℃. Gas chromatography-mass spectrometry （GC-MS） technology was used for data acquisition after the serum sample thawinged at the room temperature and pre- treated. The software of the GC-MS instrument was available for denoising, peak detection and peak area integral. Princi- pal components analysis（PCA） model and partial least squares-discriminant analysis（PLS-DA） model were established by Matlab2011 software after the data standardized. The potential biomarkers were screened by t-test. Results The differences of the serum metabolites between sepsis neonates and non-sepsis neonates in PCA and PLS-DA model were visible. Compared with the control group by t-test, the experimental group had increased in the contents of glucose, lactic acid, urea, pyruvic acid, phenylalanine, and decreased in the contents of leucine,isoleucine, alanine, glutamine, palmitic acid, palmitoleic acid, linoleic acid, stearic acid. The sensitivity, specificity, Youden＇s index, compliance rate of the dis- criminant composited by the above metabolites were 93.33%, 100.00% ,0.9333 and 96.66%. Conclusions GC-MS technology can be used to detect the neonatal sepsis. The discriminant formed by the above metabolites can be used for the diagnosis of neonatal sepsis.

关 键 词：新生儿脓毒症 气相色谱质谱联用技术 生物标志物 

分 类 号：R722.1[医药卫生—儿科]