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基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)技术在脑脊液蛋白质组分析中的应用对肠道病毒脑膜炎的诊断:一项原理验证研究。

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) proteomic profiling of cerebrospinal fluid in the diagnosis of enteroviral meningitis: a proof-of-principle study.

机构信息

Microbiology Service, Institute for Research INCLIVA, Hospital Clínico Universitario, Valencia, Spain.

Department of Microbiology, School of Medicine, University of Valencia, Av. Blasco Ibáñez 17, 46010, Valencia, Spain.

出版信息

Eur J Clin Microbiol Infect Dis. 2018 Dec;37(12):2331-2339. doi: 10.1007/s10096-018-3380-x. Epub 2018 Sep 27.

Abstract

The use of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) for diagnosing viral infections by directly testing clinical specimens has not previously been explored. In this proof-of-principle study, we tested the hypothesis that proteomic profiling of cerebrospinal fluid (CSF) by mass spectrometry may be useful in the diagnosis of enteroviral (EV) meningitis. A total of 114 cryopreserved CSF samples were analyzed, of which 47 were positive for EV and 67 were negative. Total CSF proteins were precipitated and subjected to MALDI-TOF-MS analysis in a low (2-20 kDa) molecular weight range using a MicroFlex LT mass spectrometer. The whole data set was randomly split into a training set (n = 76 specimens) and a validation set (n = 38 samples). Backward/forward stepwise logistic regression analyses identified 30 peaks that were differentially present in EV-positive and EV-negative specimens. These were used to build a model which displayed an overall classification accuracy of 93%. The discriminative ability of the model was confirmed by using a validation sample set (overall accuracy 83%). In fact, the model was able to correctly classify 61 out of 67 EV-negative samples and 42 out of 47 EV-positive specimens. EV meningitis is associated with a distinctive protein profile that may be directly detectable in CSF specimens by MALDI-TOF-MS.

摘要

基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)用于通过直接检测临床标本来诊断病毒感染的用途尚未得到探索。在这项原理验证研究中,我们检验了这样一个假设,即通过质谱对脑脊液(CSF)进行蛋白质组学分析可能有助于诊断肠道病毒(EV)脑膜炎。共分析了 114 份冷冻 CSF 样本,其中 47 份为 EV 阳性,67 份为 EV 阴性。使用 MicroFlex LT 质谱仪在低分子量范围(2-20 kDa)沉淀总 CSF 蛋白,并进行 MALDI-TOF-MS 分析。整个数据集随机分为训练集(n = 76 个标本)和验证集(n = 38 个样本)。反向/正向逐步逻辑回归分析确定了 30 个在 EV 阳性和 EV 阴性标本中差异存在的峰。这些被用于构建一个模型,该模型显示出 93%的总体分类准确性。通过使用验证样本集(总准确率 83%)来确认该模型的判别能力。实际上,该模型能够正确分类 67 个 EV 阴性样本中的 61 个和 47 个 EV 阳性样本中的 42 个。EV 脑膜炎与独特的蛋白质谱相关,该蛋白质谱可能可通过 MALDI-TOF-MS 直接在 CSF 标本中检测到。

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