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Nuclear magnetic resonance spectroscopy in solving the analytical problems of medicine: Analysis of cerebrospinal fluidстатья
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 18 июля 2013 г.
- Авторы: Kolokolova T.N., Savel'ev O.Yu, Sergeev N.M., Shpigun O.A., Sokolov K.V., Skvortsova V.I.
- Журнал: Journal of Analytical Chemistry
- Том: 65
- Номер: 10
- Год издания: 2010
- Издательство: Maik Nauka/Interperiodica Publishing
- Местоположение издательства: Russian Federation
- Первая страница: 1073
- Последняя страница: 1081
- DOI: 10.1134/S106193481010014X
- Аннотация: The samples of cerebrospinal fluids from patients with ischemic stroke and motor neuron disease and from persons with no neurological diseases were studied by (1)H NMR spectroscopy. Conditions for cerebrospinal fluid analysis were optimized. Twenty-five low-molecular-weight resident metabolites were identified and quantitatively determined in the cerebrospinal fluid. It was found that the concentrations of lactate, citrate, glucose, creatine, alanine, acetate, pyruvate, acetoacetate, formate, 2-hydroxybutyrate, 3-hydroxybutyrate, tyrosine, phenylalanine, valine, 2-hydroxyisovalerate, glutamine, fructose, isoleucine, and mannose in patients with ischemic stroke were several times higher than those in patients from the control group. Differences between the compositions of cerebrospinal fluid in the control group and a group of patients with motor neuron disease were detected with respect to the concentrations of 3-hydroxybutyrate, histidine, acetate, and mannose. The statistical processing of cerebrospinal fluid analysis data with the use of the method of principal components makes it possible to distinguish among the groups of cerebrospinal fluid samples from patients with ischemic stroke and motor neuron disease and persons from the control group. The results and the proposed approach to obtaining data can form the basis of the development of diagnostic models.
- Добавил в систему: Сергеев Николай Михайлович