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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">r-n-j</journal-id><journal-title-group><journal-title xml:lang="ru">Российский неврологический журнал</journal-title><trans-title-group xml:lang="en"><trans-title>Russian neurological journal</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2658-7947</issn><issn pub-type="epub">2686-7192</issn><publisher><publisher-name>МИА</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.30629/2658-7947-2020-25-1-4-12</article-id><article-id custom-type="elpub" pub-id-type="custom">r-n-j-49</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЗОРЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEWS</subject></subj-group></article-categories><title-group><article-title>Метаболом головного мозга</article-title><trans-title-group xml:lang="en"><trans-title>Metabolome of the Brain</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8595-6666</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Дрягина</surname><given-names>Н. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Dryagina</surname><given-names>N. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Дрягина Наталья Владимировна — заведующая клинико-диагностической лаборатории с экспресс-группой, старший научный сотрудник группы по изучению «малого сознания», кандидат медицинских наук.</p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Natalia Dryagina — head of clinical diagnostic laboratory with express group, senior researcher at the «minimally conscious state» study group.</p><p>St. Petersburg</p></bio><email xlink:type="simple">nvdryagina@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6362-6543</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кондратьева</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kondratyeva</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4510-5327</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Дубровский</surname><given-names>Я. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Dubrovskii</surname><given-names>Ya. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7648-2208</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кондратьев</surname><given-names>А. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Kondratyev</surname><given-names>A. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">РНХИ им. проф. А.Л. Поленова — филиал ФГБУ НМИЦ им. В.А. Алмазова<country>Россия</country></aff><aff xml:lang="en">RNSI n.a. A.L. Polenov at Almazov National Medical Research Centre<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">ФГБУ НМИЦ им. В.А. Алмазова<country>Россия</country></aff><aff xml:lang="en">Almazov National Medical Research Centre<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>16</day><month>04</month><year>2020</year></pub-date><volume>25</volume><issue>1</issue><fpage>4</fpage><lpage>12</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Дрягина Н.В., Кондратьева Е.А., Дубровский Я.А., Кондратьев А.Н., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Дрягина Н.В., Кондратьева Е.А., Дубровский Я.А., Кондратьев А.Н.</copyright-holder><copyright-holder xml:lang="en">Dryagina N.V., Kondratyeva E.A., Dubrovskii Y.A., Kondratyev A.N.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.r-n-j.com/jour/article/view/49">https://www.r-n-j.com/jour/article/view/49</self-uri><abstract><p>Метаболом представляет собой полный набор малых молекул в организме: пептиды, липиды, аминокислоты, нуклеиновые кислоты, углеводы, биогенные амины, витамины, минералы, а также любые химические соединения, с которыми человек контактирует, включая пищевые добавки, лекарства, косметические средства, токсины. Метаболомика — это комплексное изучение всех метаболитов, присутствующих в биологической системе. Эта наука стала реальностью благодаря развитию двух современных технологических платформ: масс-спектрометрии по уникальному для каждого метаболита соотношению массы и заряда, позволяющей идентифицировать тысячи соединений в одном образце, и спектроскопии ядерного магнитного резонанса, дающей возможность определять метаболиты в спектральных массивах посредством сдвига их сигнала относительно эталонного сигнала.</p><p>В обзоре даны понятия метаболомики и метаболома, представлены методы исследования и интерпретации данных, рассмотрены основные применения метаболомики в области диагностики заболеваний ЦНС, поиска прогностических маркеров и новых терапевтических мишеней, описан метаболический состав спинномозговой жидкости в норме и его изменения при патологии.</p></abstract><trans-abstract xml:lang="en"><p>A metabolome is a set of small molecules in the body: peptides, lipids, amino acids, nucleic acids, carbohydrates, biogenic amines, vitamins, minerals, as well as any chemical compounds that a person comes into contact with, including nutritional supplements, medicines, cosmetics, toxins. Metabolomics is a study of all the metabolites present in the biological system. This science has become a reality due to the development of two modern technological platforms: mass spectrometry, the unique mass-charge ratio for each metabolite that identifies thousands of compounds in one sample, and nuclear magnetic resonance spectroscopy, which makes it possible to determine metabolites in spectral arrays by shifting their signal relative to reference signal. The concepts of metabolomics and metabolome are given in the review, the methods of research and data interpretation are presented, the main applications of metabolomics in the field of diagnosis of central nervous system diseases. The search for prognostic markers and new therapeutic targets, the metabolic composition of cerebrospinal fluid in the normal state and its changes in pathology are described.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>метаболомика</kwd><kwd>метаболиты</kwd><kwd>неврологические заболевания</kwd><kwd>цереброспинальная жидкость</kwd><kwd>кровь</kwd><kwd>обзор</kwd></kwd-group><kwd-group xml:lang="en"><kwd>metabolomics</kwd><kwd>metabolites</kwd><kwd>disorders of consciousness</kwd><kwd>cerebrospinal fluid</kwd><kwd>blood</kwd><kwd>review</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Исследование выполнено при финансовой поддержке РФФИ в рамках научного проекта № 19-29-01066/19</funding-statement></funding-group><funding-group xml:lang="en"><funding-statement>The study was financially supported by the Russian Foundation for Basic Research under research project № 19-29-01066/19</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Dunn W., Broadhurst D., Atherton H., Goodacre R., Griffin J. Systems level studies of mammalian metabolomes: The roles of mass spectrometry and nuclear magnetic resonance spectroscopy. Chem. Soc. Rev. 2011;40:387-426.</mixed-citation><mixed-citation xml:lang="en">Dunn W., Broadhurst D., Atherton H., Goodacre R., Griffin J. Systems level studies of mammalian metabolomes: The roles of mass spectrometry and nuclear magnetic resonance spectroscopy. Chem. Soc. Rev. 2011;40:387-426.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Claudino W.M. Metabolomics: Available Results, Current Research Projects in Breast Cancer, and Future Applications. J. Clin. Oncol. 2007;25(19):2840-2846.</mixed-citation><mixed-citation xml:lang="en">Claudino W.M. Metabolomics: Available Results, Current Research Projects in Breast Cancer, and Future Applications. J. Clin. Oncol. 2007;25(19):2840-2846.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Wolahan S.M., Hirt D., Glenn T.C. Translational Metabolomics of Head Injury in: Kobeissy F.H. Brain Neurotrauma: Molecular, neuropsychological and rehabilitation aspects. Editor. Boca Raton: CrC Press/Taylor &amp; Francis; 2015. Chapter 25. 725 p.</mixed-citation><mixed-citation xml:lang="en">Wolahan S.M., Hirt D., Glenn T.C. Translational Metabolomics of Head Injury in: Kobeissy F.H. Brain Neurotrauma: Molecular, neuropsychological and rehabilitation aspects. Editor. Boca Raton: CrC Press/Taylor &amp; Francis; 2015. Chapter 25. 725 p.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Трифонова О.П., Лохов П.Г, Арчаков А.И. Метаболом-ное профилирование крови. Биомедицинская химия. 2014;60(3):281-294. [Trifonova O.P., Lohov P.G., Archakov A.I. Metabolic profiling of human blood. Biomedicinskaja himija. 2014;60(3):281-294. (In Russian)].</mixed-citation><mixed-citation xml:lang="en">Трифонова О.П., Лохов П.Г, Арчаков А.И. Метаболом-ное профилирование крови. Биомедицинская химия. 2014;60(3):281-294. [Trifonova O.P., Lohov P.G., Archakov A.I. Metabolic profiling of human blood. Biomedicinskaja himija. 2014;60(3):281-294. (In Russian)].</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Holmes E., Wilson I., Nicholson J. Metabolic phenotyping in health and disease. Cell. 2008;134:714-717.</mixed-citation><mixed-citation xml:lang="en">Holmes E., Wilson I., Nicholson J. Metabolic phenotyping in health and disease. Cell. 2008;134:714-717.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang A., Sun H., Wang P, Han Y, Wang X. Recent and potential developments of biofluid analyses in metabolomics. J. Pro-teomics. 2012;75(4):1079-88. doi: 10.1016/j.jprot.2011.10.027.</mixed-citation><mixed-citation xml:lang="en">Zhang A., Sun H., Wang P, Han Y, Wang X. Recent and potential developments of biofluid analyses in metabolomics. J. Pro-teomics. 2012;75(4):1079-88. doi: 10.1016/j.jprot.2011.10.027.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Johnson C.H., Gonzalez F.J. Challenges and opportunities of metabolomics. J. Cell Physiol. 2012;227(8):2975-2981. doi: 10.1002/jcp.24002.</mixed-citation><mixed-citation xml:lang="en">Johnson C.H., Gonzalez F.J. Challenges and opportunities of metabolomics. J. Cell Physiol. 2012;227(8):2975-2981. doi: 10.1002/jcp.24002.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Черноносов А.А. Красноречивые метаболиты. Наука из первых рук. 2010;2(32):91-94. [Chernonosov A.A. Eloquent metabolites. Nauka izpervyh ruk. 2010;2(32):91-94. (In Russian)].</mixed-citation><mixed-citation xml:lang="en">Черноносов А.А. Красноречивые метаболиты. Наука из первых рук. 2010;2(32):91-94. [Chernonosov A.A. Eloquent metabolites. Nauka izpervyh ruk. 2010;2(32):91-94. (In Russian)].</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Dettmer K., Aronov P., Hammock B. Mass spectrometry-based metabolomics. Mass Spectrom. Rev. 2007;26:51-78.</mixed-citation><mixed-citation xml:lang="en">Dettmer K., Aronov P., Hammock B. Mass spectrometry-based metabolomics. Mass Spectrom. Rev. 2007;26:51-78.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Spratlin J.L., Serkova N.J., Eckhardt S.G. Clinical applications of metabolomics in oncology: a review. Clin. Cancer Res. 2009;15(2):431-440. doi: 10.1158/1078-0432.CCR-08-1059.</mixed-citation><mixed-citation xml:lang="en">Spratlin J.L., Serkova N.J., Eckhardt S.G. Clinical applications of metabolomics in oncology: a review. Clin. Cancer Res. 2009;15(2):431-440. doi: 10.1158/1078-0432.CCR-08-1059.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Wishart D.S., Lewis M.J., Morrissey J.A., Flegel M.D., Jeron-cic K., Xiong Y. et al. The human cerebrospinal fluid metabo-lome. J. Chromatogr. B. 2008;871(2):164-173.</mixed-citation><mixed-citation xml:lang="en">Wishart D.S., Lewis M.J., Morrissey J.A., Flegel M.D., Jeron-cic K., Xiong Y. et al. The human cerebrospinal fluid metabo-lome. J. Chromatogr. B. 2008;871(2):164-173.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Gallart-Ayala H., Konz I., Mehl F., Teav T., Oikonomidi A. Pey-ratout G. et. al. A global HILIC-MS approach to measure polar human cerebrospinal fluid metabolome: Exploring gender-associated variation in a cohort of elderly cognitively healthy subjects. Analytica Chimica Acta. 2018;1037:327-337. doi: 10.1016/j.aca.2018.04.002.</mixed-citation><mixed-citation xml:lang="en">Gallart-Ayala H., Konz I., Mehl F., Teav T., Oikonomidi A. Pey-ratout G. et. al. A global HILIC-MS approach to measure polar human cerebrospinal fluid metabolome: Exploring gender-associated variation in a cohort of elderly cognitively healthy subjects. Analytica Chimica Acta. 2018;1037:327-337. doi: 10.1016/j.aca.2018.04.002.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Patti G.J., Yanes O., Siuzdak G. Metabolomics: the apogee of the omics trilogy. Nat. Rev. Mol. Cell Biol. 2012;13:263-269.</mixed-citation><mixed-citation xml:lang="en">Patti G.J., Yanes O., Siuzdak G. Metabolomics: the apogee of the omics trilogy. Nat. Rev. Mol. Cell Biol. 2012;13:263-269.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Baker M. Metabolomics: From small molecules to big ideas. Nat. Methods. 2011;8:117-121.</mixed-citation><mixed-citation xml:lang="en">Baker M. Metabolomics: From small molecules to big ideas. Nat. Methods. 2011;8:117-121.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Vinaixa M., Schymanski E.L., Neumann S., Navarro M., Salek R.M., Yanes O. Mass spectral databases for LC/MS- and GC/MS-based metabolomics: state of the field and future prospects. Trends in Analytical Chemistry. 2016;78:23-35. https://doi.org/10.1016/j.trac.2015.09.005.</mixed-citation><mixed-citation xml:lang="en">Vinaixa M., Schymanski E.L., Neumann S., Navarro M., Salek R.M., Yanes O. Mass spectral databases for LC/MS- and GC/MS-based metabolomics: state of the field and future prospects. Trends in Analytical Chemistry. 2016;78:23-35. https://doi.org/10.1016/j.trac.2015.09.005.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Wishart D.S., Feunang YD., Marcu A., Guo А.C., Liang K., Vazquez-Fresno R. et al. HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018;46(Database issue):D608-D617. doi: 10.1093/nar/gkx108.</mixed-citation><mixed-citation xml:lang="en">Wishart D.S., Feunang YD., Marcu A., Guo А.C., Liang K., Vazquez-Fresno R. et al. HMDB 4.0: the human metabolome database for 2018. Nucleic Acids Res. 2018;46(Database issue):D608-D617. doi: 10.1093/nar/gkx108.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Locasale J.W., Melman T., Song S., Yang X., Swanson K.D., Cantley L.C. et al. Metabolomics of human cerebrospinal fluid identifies signatures of malignant glioma. Mol. Cell Proteomics. 2012;11(6):M111.014688. doi: 10.1074/mcp.M111.014688.</mixed-citation><mixed-citation xml:lang="en">Locasale J.W., Melman T., Song S., Yang X., Swanson K.D., Cantley L.C. et al. Metabolomics of human cerebrospinal fluid identifies signatures of malignant glioma. Mol. Cell Proteomics. 2012;11(6):M111.014688. doi: 10.1074/mcp.M111.014688.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Kennedy A.D., Pappan K.L., Donti T.R., Evans A.M., Wulff J.E., Miller L.A.D. et. al. Elucidation of the complex metabolic profile of cerebrospinal fluid using an untargeted biochemical profiling assay. Mol. Genet. Metab. 2017;121(2):83-90. doi: 10.1016/j.ymgme.2017.04.005.</mixed-citation><mixed-citation xml:lang="en">Kennedy A.D., Pappan K.L., Donti T.R., Evans A.M., Wulff J.E., Miller L.A.D. et. al. Elucidation of the complex metabolic profile of cerebrospinal fluid using an untargeted biochemical profiling assay. Mol. Genet. Metab. 2017;121(2):83-90. doi: 10.1016/j.ymgme.2017.04.005.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Stoop M.P., Coulier L., Rosenling T., Shi S., Smolinska A.M., Buydens L.M.C. et al. Quantitative proteomics and metabo-lomics analysis of normal human cerebrospinal fluid samples. Mol. Cell Proteomics. 2010;9:2063-2075. doi: 10.1074/mcp.M900877-MCP200.</mixed-citation><mixed-citation xml:lang="en">Stoop M.P., Coulier L., Rosenling T., Shi S., Smolinska A.M., Buydens L.M.C. et al. Quantitative proteomics and metabo-lomics analysis of normal human cerebrospinal fluid samples. Mol. Cell Proteomics. 2010;9:2063-2075. doi: 10.1074/mcp.M900877-MCP200.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Crews B., Wikoff W.R., Patti G.J., Woo H.K., Kalisiak E., Heideker J. et al. Variability analysis of human plasma and cerebral spinal fluid reveals statistical significance of changes in mass spectrometry-based metabolomics data. Anal. Chem. 2009;81(20):8538-8544. doi: 10.1021/ac9014947.</mixed-citation><mixed-citation xml:lang="en">Crews B., Wikoff W.R., Patti G.J., Woo H.K., Kalisiak E., Heideker J. et al. Variability analysis of human plasma and cerebral spinal fluid reveals statistical significance of changes in mass spectrometry-based metabolomics data. Anal. Chem. 2009;81(20):8538-8544. doi: 10.1021/ac9014947.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Willkommen D., Lucio M., Moritz F., Forcisi S., Kanawati B., Smirnov K. et al. Metabolomic investigations in cerebrospinal fluid of Parkinson’s disease. PLoS One. 2018;13(12):e0208752. doi: 10.1371/journal.pone.0208752.</mixed-citation><mixed-citation xml:lang="en">Willkommen D., Lucio M., Moritz F., Forcisi S., Kanawati B., Smirnov K. et al. Metabolomic investigations in cerebrospinal fluid of Parkinson’s disease. PLoS One. 2018;13(12):e0208752. doi: 10.1371/journal.pone.0208752.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">LeWitt P.A., Li J., Lu M., Guo L., Auinger P. Metabolomic biomarkers as strong correlates of Parkinson disease progression. Neurology. 2017;88(9):862-869. doi: 10.1212/WNL.0000000000003663.</mixed-citation><mixed-citation xml:lang="en">LeWitt P.A., Li J., Lu M., Guo L., Auinger P. Metabolomic biomarkers as strong correlates of Parkinson disease progression. Neurology. 2017;88(9):862-869. doi: 10.1212/WNL.0000000000003663.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Havelund J.F., Heegaard N.H.H., F®rgeman N.J.K., Gramsber-gen J.B. Biomarker Research in Parkinson’s Disease Using Metabolite Profiling. Metabolites. 2017;7(3):pii: E42. doi: 10.3390/metabo7030042.</mixed-citation><mixed-citation xml:lang="en">Havelund J.F., Heegaard N.H.H., F®rgeman N.J.K., Gramsber-gen J.B. Biomarker Research in Parkinson’s Disease Using Metabolite Profiling. Metabolites. 2017;7(3):pii: E42. doi: 10.3390/metabo7030042.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Trezzi J.P, Galozzi S., Jaeger C., Barkovits K., Brockmann K., Maetzler W. et al. Distinct metabolomic signature in cerebrospinal fluid in early Parkinson’s disease. Mov. Disord. 2017;32(10):1401-1408. doi: 10.1002/mds.27132.</mixed-citation><mixed-citation xml:lang="en">Trezzi J.P, Galozzi S., Jaeger C., Barkovits K., Brockmann K., Maetzler W. et al. Distinct metabolomic signature in cerebrospinal fluid in early Parkinson’s disease. Mov. Disord. 2017;32(10):1401-1408. doi: 10.1002/mds.27132.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Trupp M., Jonsson P, Ohrfelt A., Zetterberg H., Obudulu O., Malm L. et al. Metabolite and peptide levels in plasma and CSF differentiating healthy controls from patients with newly diagnosed Parkinson’s disease. J. Parkinsons Dis. 2014;4(3):549-560. doi: 10.3233/JPD-140389.</mixed-citation><mixed-citation xml:lang="en">Trupp M., Jonsson P, Ohrfelt A., Zetterberg H., Obudulu O., Malm L. et al. Metabolite and peptide levels in plasma and CSF differentiating healthy controls from patients with newly diagnosed Parkinson’s disease. J. Parkinsons Dis. 2014;4(3):549-560. doi: 10.3233/JPD-140389.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">LeWitt P. Recent advances in CSF biomarkers for Parkinson’s disease. Parkinsonism Relat. Disord. 2012;18Suppl.1:S49-51. doi: 10.1016/S1353-8020(11)70017-7.</mixed-citation><mixed-citation xml:lang="en">LeWitt P. Recent advances in CSF biomarkers for Parkinson’s disease. Parkinsonism Relat. Disord. 2012;18Suppl.1:S49-51. doi: 10.1016/S1353-8020(11)70017-7.</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Stefani A., Pierantozzi M., Olivola E., Galati S., Cerroni R., D’Angelo V et al. Homovanillic acid in CSF of mild stage Parkinson’s disease patients correlates with motor impairment. Neu-rochem. Int. 2017;105:58-63. doi: 10.1016/j.neuint.2017.01.007.</mixed-citation><mixed-citation xml:lang="en">Stefani A., Pierantozzi M., Olivola E., Galati S., Cerroni R., D’Angelo V et al. Homovanillic acid in CSF of mild stage Parkinson’s disease patients correlates with motor impairment. Neu-rochem. Int. 2017;105:58-63. doi: 10.1016/j.neuint.2017.01.007.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Jove M., Portero-Otin M., Naudi A., Ferrer I., Pamplona R.J. Me-tabolomics of human brain aging and age-related neurodegenerative diseases. Neuropathol. Exp. Neurol. 2014;73(7):640-657. doi: 10.1097/NEN.0000000000000091.</mixed-citation><mixed-citation xml:lang="en">Jove M., Portero-Otin M., Naudi A., Ferrer I., Pamplona R.J. Me-tabolomics of human brain aging and age-related neurodegenerative diseases. Neuropathol. Exp. Neurol. 2014;73(7):640-657. doi: 10.1097/NEN.0000000000000091.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">He R., Yan X., Guo J., Xu Q., Tang B., Sun Q. Recent Advances in Biomarkers for Parkinson’s Disease. Front Aging. Neurosci. 2018;10:305. doi: 10.3389/fnagi.2018.00305.</mixed-citation><mixed-citation xml:lang="en">He R., Yan X., Guo J., Xu Q., Tang B., Sun Q. Recent Advances in Biomarkers for Parkinson’s Disease. Front Aging. Neurosci. 2018;10:305. doi: 10.3389/fnagi.2018.00305.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Ascherio A., LeWitt P.A., Xu K., Eberly S., Watts A. Urate as a predictor of the rate of clinical decline in Parkinson disease. Arch. Neurol. 2009;66(12):1460-1468. doi: 10.1001/archneu-rol.2009.247.</mixed-citation><mixed-citation xml:lang="en">Ascherio A., LeWitt P.A., Xu K., Eberly S., Watts A. Urate as a predictor of the rate of clinical decline in Parkinson disease. Arch. Neurol. 2009;66(12):1460-1468. doi: 10.1001/archneu-rol.2009.247.</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Kang J., Lu J., Zhang X. Metabolomics-based promising candidate biomarkers and pathways in Alzheimer’s disease. Pharma-zie. 2015;70:277-282. doi: 10.1691/ph.2015.4859.</mixed-citation><mixed-citation xml:lang="en">Kang J., Lu J., Zhang X. Metabolomics-based promising candidate biomarkers and pathways in Alzheimer’s disease. Pharma-zie. 2015;70:277-282. doi: 10.1691/ph.2015.4859.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Han X., Rozen S., Boyle S.H., Hellegers C., Cheng H., Burke J.R. et al. Metabolomics in early Alzheimer’s disease: identification of altered plasma sphingolipidome using shotgun lipidomics. PLoS One. 2011;6(7):e21643. doi: 10.1371/journal.pone.0021643.</mixed-citation><mixed-citation xml:lang="en">Han X., Rozen S., Boyle S.H., Hellegers C., Cheng H., Burke J.R. et al. Metabolomics in early Alzheimer’s disease: identification of altered plasma sphingolipidome using shotgun lipidomics. PLoS One. 2011;6(7):e21643. doi: 10.1371/journal.pone.0021643.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Whiley L., Sen A., Heaton J., Proitsi P, Garcia-Gomez D., Leung R. et al. Evidence of altered phosphatidylcholine metabolism in Alzheimer’s disease. Neurobiol. Aging. 2014;35(2):271-278. doi: 10.1016/j.neurobiolaging.2013.08.001.</mixed-citation><mixed-citation xml:lang="en">Whiley L., Sen A., Heaton J., Proitsi P, Garcia-Gomez D., Leung R. et al. Evidence of altered phosphatidylcholine metabolism in Alzheimer’s disease. Neurobiol. Aging. 2014;35(2):271-278. doi: 10.1016/j.neurobiolaging.2013.08.001.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Varma V.R., Oommen A.M., Varma S., Casanova R., An Y., Andrews R.M. et al. Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metab-olomics study. PLoS Med. 2018;15(1):e1002482. doi: 10.1371/journal.pmed.1002482.</mixed-citation><mixed-citation xml:lang="en">Varma V.R., Oommen A.M., Varma S., Casanova R., An Y., Andrews R.M. et al. Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metab-olomics study. PLoS Med. 2018;15(1):e1002482. doi: 10.1371/journal.pmed.1002482.</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Oresic M., Hyotylainen T., Herukka S.K., Sysi-Aho M., Mat-tila I., Seppanan-Laakso T. et al. Metabolome in progression to Alzheimer’s disease. Transl. Psychiatry. 2011;1:e57. doi: 10.1038/tp.2011.55.</mixed-citation><mixed-citation xml:lang="en">Oresic M., Hyotylainen T., Herukka S.K., Sysi-Aho M., Mat-tila I., Seppanan-Laakso T. et al. Metabolome in progression to Alzheimer’s disease. Transl. Psychiatry. 2011;1:e57. doi: 10.1038/tp.2011.55.</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Toledo J.B., Arnold M., Kastenmuller G., Chang R., Baillie R.A. Han X. et al. Metabolic network failures in Alzheimer’s disease: A biochemical road map. Alzheimers Dement. 2017;13(9):965-984. doi: 10.1016/j.jalz.2017.01.020.</mixed-citation><mixed-citation xml:lang="en">Toledo J.B., Arnold M., Kastenmuller G., Chang R., Baillie R.A. Han X. et al. Metabolic network failures in Alzheimer’s disease: A biochemical road map. Alzheimers Dement. 2017;13(9):965-984. doi: 10.1016/j.jalz.2017.01.020.</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Wilkins J.M., Trushina E. Application of Metabolomics in Alzheimer’s Disease. Front Neurol. 2017;8:719. doi: 10.3389/fneur.2017.00719.</mixed-citation><mixed-citation xml:lang="en">Wilkins J.M., Trushina E. Application of Metabolomics in Alzheimer’s Disease. Front Neurol. 2017;8:719. doi: 10.3389/fneur.2017.00719.</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Trushina E., Dutta T., Persson X.M., Mielke M.M., Petersen R.C. Identification of altered metabolic pathways in plasma and CSF in mild cognitive impairment and Alzheimer’s disease using metabolomics. PLoS One. 2013;8(5):e63644. doi: 10.1371/journal.pone.0063644.</mixed-citation><mixed-citation xml:lang="en">Trushina E., Dutta T., Persson X.M., Mielke M.M., Petersen R.C. Identification of altered metabolic pathways in plasma and CSF in mild cognitive impairment and Alzheimer’s disease using metabolomics. PLoS One. 2013;8(5):e63644. doi: 10.1371/journal.pone.0063644.</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Kaddurah-Daouk R., Rozen S., Matson W., Han X., Hulette C.M. et al. Metabolomic changes in autopsy-confirmed Alzheimer’s disease. Alzheimers Dement. 2011;7(3):309—317. doi: 10.1016/j.jalz.2010.06.001.</mixed-citation><mixed-citation xml:lang="en">Kaddurah-Daouk R., Rozen S., Matson W., Han X., Hulette C.M. et al. Metabolomic changes in autopsy-confirmed Alzheimer’s disease. Alzheimers Dement. 2011;7(3):309—317. doi: 10.1016/j.jalz.2010.06.001.</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Ibanez C., Simo C., Martm-Alvarez P.J., Kivipelto M., Win-blad B. et al. Toward a predictive model of Alzheimer’s disease progression using capillary electrophoresis-mass spectrometry metabolomics. Anal. Chem. 2012;84(20):8532-8240. doi: 10.1021/ac301243k.</mixed-citation><mixed-citation xml:lang="en">Ibanez C., Simo C., Martm-Alvarez P.J., Kivipelto M., Win-blad B. et al. Toward a predictive model of Alzheimer’s disease progression using capillary electrophoresis-mass spectrometry metabolomics. Anal. Chem. 2012;84(20):8532-8240. doi: 10.1021/ac301243k.</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Kim H.H., Jeong I.H., Hyun J.S., Kong B.S., Kim H.J., Park S.J. Metabolomic profiling of CSF in multiple sclerosis and neuromyelitis optica spectrum disorder by nuclear magnetic resonance. PLoS One. 2017;12(7):e0181758. doi: 10.1371/journal.pone.0181758.</mixed-citation><mixed-citation xml:lang="en">Kim H.H., Jeong I.H., Hyun J.S., Kong B.S., Kim H.J., Park S.J. Metabolomic profiling of CSF in multiple sclerosis and neuromyelitis optica spectrum disorder by nuclear magnetic resonance. PLoS One. 2017;12(7):e0181758. doi: 10.1371/journal.pone.0181758.</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Cocco E., Murgia F., Lorefice L., Barberini L., Poddighe S. et al. 1H-NMR analysis provides a metabolomic profile of patients with multiple sclerosis. Neurol. Neuroimmunol. Neuroinflamm. 2015;3(1):e185. doi: 10.1212/NXI.0000000000000185.</mixed-citation><mixed-citation xml:lang="en">Cocco E., Murgia F., Lorefice L., Barberini L., Poddighe S. et al. 1H-NMR analysis provides a metabolomic profile of patients with multiple sclerosis. Neurol. Neuroimmunol. Neuroinflamm. 2015;3(1):e185. doi: 10.1212/NXI.0000000000000185.</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Moussallieh F.M., Elbayed K., Chanson J.B., Rudolf G., Piot-to M. et al. Serum analysis by 1H nuclear magnetic resonance spectroscopy: a new tool for distinguishing neuromyelitis optica from multiple sclerosis. Mult. Scler. 2014;20(5):558-565. doi: 10.1177/1352458513504638.</mixed-citation><mixed-citation xml:lang="en">Moussallieh F.M., Elbayed K., Chanson J.B., Rudolf G., Piot-to M. et al. Serum analysis by 1H nuclear magnetic resonance spectroscopy: a new tool for distinguishing neuromyelitis optica from multiple sclerosis. Mult. Scler. 2014;20(5):558-565. doi: 10.1177/1352458513504638.</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Lynch J., Peeling J., Auty A., Sutherland G.R. Nuclear magnetic resonance study of cerebrospinal fluid from patients with multiple sclerosis. Can. J. Neurol. Sci. 1993;20(3):194-198.</mixed-citation><mixed-citation xml:lang="en">Lynch J., Peeling J., Auty A., Sutherland G.R. Nuclear magnetic resonance study of cerebrospinal fluid from patients with multiple sclerosis. Can. J. Neurol. Sci. 1993;20(3):194-198.</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Reinke S.N., Broadhurst D.L., Sykes B.D., Baker G.B., Catz I. et al. Metabolomic profiling in multiple sclerosis: insights into biomarkers and pathogenesis. Mult. Scler. 2014;20(10):1396-1400. doi: 10.1177/1352458513516528.</mixed-citation><mixed-citation xml:lang="en">Reinke S.N., Broadhurst D.L., Sykes B.D., Baker G.B., Catz I. et al. Metabolomic profiling in multiple sclerosis: insights into biomarkers and pathogenesis. Mult. Scler. 2014;20(10):1396-1400. doi: 10.1177/1352458513516528.</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Tavazzi B., Batocchi A.P., Amorini A.M., Nociti V, D’Urso S. et al. Serum metabolic profile in multiple sclerosis patients. Mult. Scler. Int. 2011;2011:167156. doi: 10.1155/2011/1671560.</mixed-citation><mixed-citation xml:lang="en">Tavazzi B., Batocchi A.P., Amorini A.M., Nociti V, D’Urso S. et al. Serum metabolic profile in multiple sclerosis patients. Mult. Scler. Int. 2011;2011:167156. doi: 10.1155/2011/1671560.</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Pieragostino D., D’Alessandro M., di Ioia M., Rossi C., Zucchel-li M. et al. An integrated metabolomics approach for the research of new cerebrospinal fluid biomarkers of multiple sclerosis. Mol. Biosyst. 2015;11(6):1563-1572. doi: 10.1039/c4mb00700j.</mixed-citation><mixed-citation xml:lang="en">Pieragostino D., D’Alessandro M., di Ioia M., Rossi C., Zucchel-li M. et al. An integrated metabolomics approach for the research of new cerebrospinal fluid biomarkers of multiple sclerosis. Mol. Biosyst. 2015;11(6):1563-1572. doi: 10.1039/c4mb00700j.</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Andersen S.L., Briggs F.B.S., Winnike J.H., Natanzon Y, Maich-le S. et al. Metabolome-based signature of disease pathology in MS. Mult. Scler. Relat. Disord. 2019;31:12-21. doi: 10.1016/j.msard.2019.03.006.</mixed-citation><mixed-citation xml:lang="en">Andersen S.L., Briggs F.B.S., Winnike J.H., Natanzon Y, Maich-le S. et al. Metabolome-based signature of disease pathology in MS. Mult. Scler. Relat. Disord. 2019;31:12-21. doi: 10.1016/j.msard.2019.03.006.</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Dickens A.M., Larkin J.R., Griffin J.L., Cavey A., Matthews L. et al. A type 2 biomarker separates relapsing-remitting from secondary progressive multiple sclerosis. Neurology. 2014;83(17): 1492-1499. doi: 10.1212/WNL.0000000000000905.</mixed-citation><mixed-citation xml:lang="en">Dickens A.M., Larkin J.R., Griffin J.L., Cavey A., Matthews L. et al. A type 2 biomarker separates relapsing-remitting from secondary progressive multiple sclerosis. Neurology. 2014;83(17): 1492-1499. doi: 10.1212/WNL.0000000000000905.</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Simone I.L., Federico F., Trojano M., Tortorella C., Liguo-ri M. et al. High resolution proton MR spectroscopy of cerebrospinal fluid in MS patients. Comparison with biochemical changes in demyelinating plaques. J. Neurol. Sci. 1996;144(1-2):182-190.</mixed-citation><mixed-citation xml:lang="en">Simone I.L., Federico F., Trojano M., Tortorella C., Liguo-ri M. et al. High resolution proton MR spectroscopy of cerebrospinal fluid in MS patients. Comparison with biochemical changes in demyelinating plaques. J. Neurol. Sci. 1996;144(1-2):182-190.</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Bahado-Singh R.O., Graham S.F., Han B., Turkoglu O., Ziadeh J. et al. Identification of candidate biomarkers of brain damage in a mouse model of closed head injury: a metabolomic pilot study. Metabolomics. 2016;12:42. doi: 10.1007/s11306-016-0957-1.</mixed-citation><mixed-citation xml:lang="en">Bahado-Singh R.O., Graham S.F., Han B., Turkoglu O., Ziadeh J. et al. Identification of candidate biomarkers of brain damage in a mouse model of closed head injury: a metabolomic pilot study. Metabolomics. 2016;12:42. doi: 10.1007/s11306-016-0957-1.</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Zheng F., Xia Z.A., Zeng Y.F., Luo J.K., Sun P., Cui H.J. et al. Plasma metabolomics profiles in rats with acute traumatic brain injury. PLoS One. 2017;12(8):e0182025. doi: 10.1371/journal.pone.0182025.</mixed-citation><mixed-citation xml:lang="en">Zheng F., Xia Z.A., Zeng Y.F., Luo J.K., Sun P., Cui H.J. et al. Plasma metabolomics profiles in rats with acute traumatic brain injury. PLoS One. 2017;12(8):e0182025. doi: 10.1371/journal.pone.0182025.</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Posti J.P., Dickens A.M, Oresic M., Hyotylainen T., Tenovuo O. Metabolomics Profiling As a Diagnostic Tool in Severe Traumatic Brain Injury. Front. Neurol. 2017;8:398. doi: 10.3389/fneur.2017.00398.</mixed-citation><mixed-citation xml:lang="en">Posti J.P., Dickens A.M, Oresic M., Hyotylainen T., Tenovuo O. Metabolomics Profiling As a Diagnostic Tool in Severe Traumatic Brain Injury. Front. Neurol. 2017;8:398. doi: 10.3389/fneur.2017.00398.</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Oresic M., Posti J.P., Kamstrup-Nielsen M.H. et al. Human Serum Metabolites Associate With Severity and Patient Outcomes in Traumatic Brain Injury. EBioMedicine. 2016;12:118-126. doi: 10.1016/j.ebiom.2016.07.015.</mixed-citation><mixed-citation xml:lang="en">Oresic M., Posti J.P., Kamstrup-Nielsen M.H. et al. Human Serum Metabolites Associate With Severity and Patient Outcomes in Traumatic Brain Injury. EBioMedicine. 2016;12:118-126. doi: 10.1016/j.ebiom.2016.07.015.</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Servia L., Jove M., Sol J., Pamplona R., Badia M. et al. A prospective pilot study using metabolomics discloses specific fatty acid, catecholamine and tryptophan metabolic pathways as possible predictors for a negative outcome after severe trauma. Scand. J. Trauma Resusc. Emerg. Med. 2019;27:56. doi: 10.1186/s13049-019-0631-5.</mixed-citation><mixed-citation xml:lang="en">Servia L., Jove M., Sol J., Pamplona R., Badia M. et al. A prospective pilot study using metabolomics discloses specific fatty acid, catecholamine and tryptophan metabolic pathways as possible predictors for a negative outcome after severe trauma. Scand. J. Trauma Resusc. Emerg. Med. 2019;27:56. doi: 10.1186/s13049-019-0631-5.</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Glenn T.C., Hirt D., Mendez G., McArthur D.L., Sturtevant R., Wolahan S. et al. Metabolomic analysis of cerebral spinal fluid from patients with severe brain injury. Acta Neurochir. Suppl. 2013;118:115-119. https://doi.org/10.1007/978-3-7091-1434-6_20.</mixed-citation><mixed-citation xml:lang="en">Glenn T.C., Hirt D., Mendez G., McArthur D.L., Sturtevant R., Wolahan S. et al. Metabolomic analysis of cerebral spinal fluid from patients with severe brain injury. Acta Neurochir. Suppl. 2013;118:115-119. https://doi.org/10.1007/978-3-7091-1434-6_20.</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Yi L., Shi S., Wang Y, Huang W., Xia Z. et al. Serum Metabolic Profiling Reveals Altered Metabolic Pathways in Patients with Post-traumatic Cognitive Impairments. Sci. Rep. 2016;6:21320. doi: 10.1038/srep21320.</mixed-citation><mixed-citation xml:lang="en">Yi L., Shi S., Wang Y, Huang W., Xia Z. et al. Serum Metabolic Profiling Reveals Altered Metabolic Pathways in Patients with Post-traumatic Cognitive Impairments. Sci. Rep. 2016;6:21320. doi: 10.1038/srep21320.</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Pandey R. Metabolomic signature of brain cancer. Mol. Car-cinog. 2017;56(11):2355-2371. doi: 10.1002/mc.22694.</mixed-citation><mixed-citation xml:lang="en">Pandey R. Metabolomic signature of brain cancer. Mol. Car-cinog. 2017;56(11):2355-2371. doi: 10.1002/mc.22694.</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Ahmed K.A., Chinnaiyan P. Applying metabolomics to understand the aggressive phenotype and identify novel therapeutic targets in glioblastoma. Metabolites. 2014;4(3):740-750. doi: 10.3390/metabo4030740.</mixed-citation><mixed-citation xml:lang="en">Ahmed K.A., Chinnaiyan P. Applying metabolomics to understand the aggressive phenotype and identify novel therapeutic targets in glioblastoma. Metabolites. 2014;4(3):740-750. doi: 10.3390/metabo4030740.</mixed-citation></citation-alternatives></ref><ref id="cit60"><label>60</label><citation-alternatives><mixed-citation xml:lang="ru">Erb G., Elbayed K., Piotto M., Raya J., Neuville A. et al. Toward improved grading of malignancy in oligodendrogliomas using metabolomics. Magn. Reson. Med. 2008;59(5):959-965. doi: 10.1002/mrm.21486.</mixed-citation><mixed-citation xml:lang="en">Erb G., Elbayed K., Piotto M., Raya J., Neuville A. et al. Toward improved grading of malignancy in oligodendrogliomas using metabolomics. Magn. Reson. Med. 2008;59(5):959-965. doi: 10.1002/mrm.21486.</mixed-citation></citation-alternatives></ref><ref id="cit61"><label>61</label><citation-alternatives><mixed-citation xml:lang="ru">Wright A.J., Fellows G.A., Griffiths J.R., Wilson M., Bell B.A. et al. Ex-vivo HRMAS of adult brain tumours: metabolite quantification and assignment of tumour biomarkers. Mol. Cancer. 2010;23(9):66. doi: 10.1186/1476-4598-9-66.</mixed-citation><mixed-citation xml:lang="en">Wright A.J., Fellows G.A., Griffiths J.R., Wilson M., Bell B.A. et al. Ex-vivo HRMAS of adult brain tumours: metabolite quantification and assignment of tumour biomarkers. Mol. Cancer. 2010;23(9):66. doi: 10.1186/1476-4598-9-66.</mixed-citation></citation-alternatives></ref><ref id="cit62"><label>62</label><citation-alternatives><mixed-citation xml:lang="ru">Chen W., Lou H., Zhang H., Nie X., Lan W. et al. Grade classification of neuroepithelial tumors using high-resolution magic-angle spinning proton nuclear magnetic resonance spectroscopy and pattern recognition. Sci. China Life Sci. 2011;54(7):606-116. doi: 10.1007/s11427-011-4193-7.</mixed-citation><mixed-citation xml:lang="en">Chen W., Lou H., Zhang H., Nie X., Lan W. et al. Grade classification of neuroepithelial tumors using high-resolution magic-angle spinning proton nuclear magnetic resonance spectroscopy and pattern recognition. Sci. China Life Sci. 2011;54(7):606-116. doi: 10.1007/s11427-011-4193-7.</mixed-citation></citation-alternatives></ref><ref id="cit63"><label>63</label><citation-alternatives><mixed-citation xml:lang="ru">Constantin A., Elkhaled A., Jalbert L., Srinivasan R., Cha S. et al. Identifying malignant transformations in recurrent low grade gliomas using high resolution magic angle spinning spectroscopy. Artif. Intell. Med. 2012;55(1):61-70. doi: 10.1016/j.artmed.2012.01.002.</mixed-citation><mixed-citation xml:lang="en">Constantin A., Elkhaled A., Jalbert L., Srinivasan R., Cha S. et al. Identifying malignant transformations in recurrent low grade gliomas using high resolution magic angle spinning spectroscopy. Artif. Intell. Med. 2012;55(1):61-70. doi: 10.1016/j.artmed.2012.01.002.</mixed-citation></citation-alternatives></ref><ref id="cit64"><label>64</label><citation-alternatives><mixed-citation xml:lang="ru">Vettukattil R., Gulati M., Sj0bakk T.E., Jakola A.S., Kvern-mo N.A. et al. Differentiating diffuse World Health Organization grade II and IV astrocytomas with ex vivo magnetic resonance spectroscopy. Neurosurgery. 2013;72(2):186-95. doi: 10.1227/NEU.0b013e31827b9c57.</mixed-citation><mixed-citation xml:lang="en">Vettukattil R., Gulati M., Sj0bakk T.E., Jakola A.S., Kvern-mo N.A. et al. Differentiating diffuse World Health Organization grade II and IV astrocytomas with ex vivo magnetic resonance spectroscopy. Neurosurgery. 2013;72(2):186-95. doi: 10.1227/NEU.0b013e31827b9c57.</mixed-citation></citation-alternatives></ref><ref id="cit65"><label>65</label><citation-alternatives><mixed-citation xml:lang="ru">Ballester L.Y, Lu G., Zorofchian S., Vantaku V, Putluri V. et al. Analysis of cerebrospinal fluid metabolites in patients with primary or metastatic central nervous system tumors. Acta Neu-ropathol. Commun. 2018;6(1):85. doi: 10.1186/s40478-018-0588-z.</mixed-citation><mixed-citation xml:lang="en">Ballester L.Y, Lu G., Zorofchian S., Vantaku V, Putluri V. et al. Analysis of cerebrospinal fluid metabolites in patients with primary or metastatic central nervous system tumors. Acta Neu-ropathol. Commun. 2018;6(1):85. doi: 10.1186/s40478-018-0588-z.</mixed-citation></citation-alternatives></ref><ref id="cit66"><label>66</label><citation-alternatives><mixed-citation xml:lang="ru">Shao W., Gu J., Huang C., Liu D., Huang H. et al. Malignancy-associated metabolic profiling of human glioma cell lines using 1H NMR spectroscopy. Mol. Cancer. 2014;13:197. doi: 10.1186/1476-4598-13-197.</mixed-citation><mixed-citation xml:lang="en">Shao W., Gu J., Huang C., Liu D., Huang H. et al. Malignancy-associated metabolic profiling of human glioma cell lines using 1H NMR spectroscopy. Mol. Cancer. 2014;13:197. doi: 10.1186/1476-4598-13-197.</mixed-citation></citation-alternatives></ref><ref id="cit67"><label>67</label><citation-alternatives><mixed-citation xml:lang="ru">Nakamizo S., Sasayama T., Shinohara M., Irino Y., Nishiumi S. et al. GC/MS-based metabolomic analysis of cerebrospinal fluid (CSF) from glioma patients. J. Neurooncol. 2013;113(1):65-74. doi: 10.1007/s11060-013-1090-x.</mixed-citation><mixed-citation xml:lang="en">Nakamizo S., Sasayama T., Shinohara M., Irino Y., Nishiumi S. et al. GC/MS-based metabolomic analysis of cerebrospinal fluid (CSF) from glioma patients. J. Neurooncol. 2013;113(1):65-74. doi: 10.1007/s11060-013-1090-x.</mixed-citation></citation-alternatives></ref><ref id="cit68"><label>68</label><citation-alternatives><mixed-citation xml:lang="ru">Moren L., Bergenheim A.T., Ghasimi S., Brannstrom T., Johansson M. et al. Metabolomic Screening of Tumor Tissue and Serum in Glioma Patients Reveals Diagnostic and Prognostic Information. Metabolites. 2015;5(3):502-520. doi: 10.3390/metabo5030502.</mixed-citation><mixed-citation xml:lang="en">Moren L., Bergenheim A.T., Ghasimi S., Brannstrom T., Johansson M. et al. Metabolomic Screening of Tumor Tissue and Serum in Glioma Patients Reveals Diagnostic and Prognostic Information. Metabolites. 2015;5(3):502-520. doi: 10.3390/metabo5030502.</mixed-citation></citation-alternatives></ref><ref id="cit69"><label>69</label><citation-alternatives><mixed-citation xml:lang="ru">Palanichamy K., Thirumoorthy K., Kanji S., Gordon N., Singh R. et al. Methionine and Kynurenine Activate Oncogenic Kinases in Glioblastoma, and Methionine Deprivation Compromises Proliferation. Clin. Cancer Res. 2016;22(14):3513-3523. doi: 10.1158/1078-0432.CCR-15-2308.</mixed-citation><mixed-citation xml:lang="en">Palanichamy K., Thirumoorthy K., Kanji S., Gordon N., Singh R. et al. Methionine and Kynurenine Activate Oncogenic Kinases in Glioblastoma, and Methionine Deprivation Compromises Proliferation. Clin. Cancer Res. 2016;22(14):3513-3523. doi: 10.1158/1078-0432.CCR-15-2308.</mixed-citation></citation-alternatives></ref><ref id="cit70"><label>70</label><citation-alternatives><mixed-citation xml:lang="ru">de Groot J., Sontheimer H. Glutamate and the biology of gliomas. Glia. 2011;59(8):1181-1189. doi: 10.1002/glia.21113.</mixed-citation><mixed-citation xml:lang="en">de Groot J., Sontheimer H. Glutamate and the biology of gliomas. Glia. 2011;59(8):1181-1189. doi: 10.1002/glia.21113.</mixed-citation></citation-alternatives></ref><ref id="cit71"><label>71</label><citation-alternatives><mixed-citation xml:lang="ru">Gordon S.M., Srinivasan L., Harris M.C. Neonatal Meningitis: Overcoming Challenges in Diagnosis, Prognosis, and Treatment with Omics. Front. Pediatr. 2017;5:139. doi: 10.3389/fped.2017.00139.</mixed-citation><mixed-citation xml:lang="en">Gordon S.M., Srinivasan L., Harris M.C. Neonatal Meningitis: Overcoming Challenges in Diagnosis, Prognosis, and Treatment with Omics. Front. Pediatr. 2017;5:139. doi: 10.3389/fped.2017.00139.</mixed-citation></citation-alternatives></ref><ref id="cit72"><label>72</label><citation-alternatives><mixed-citation xml:lang="ru">Li Z., Du B., Li J., Zhang J., Zheng X., Jia H. et al. Cerebrospinal fluid metabolomic profiling in tuberculous and viral meningitis: screening potential markers for differential diagnosis. Clin. Chim. Acta. 2017;466:38-45. doi: 10.1016/j.cca.2017.01.002.</mixed-citation><mixed-citation xml:lang="en">Li Z., Du B., Li J., Zhang J., Zheng X., Jia H. et al. Cerebrospinal fluid metabolomic profiling in tuberculous and viral meningitis: screening potential markers for differential diagnosis. Clin. Chim. Acta. 2017;466:38-45. doi: 10.1016/j.cca.2017.01.002.</mixed-citation></citation-alternatives></ref><ref id="cit73"><label>73</label><citation-alternatives><mixed-citation xml:lang="ru">Coen M., O’Sullivan M., Bubb W.A., Kuchel P.W., Sorrell T. Proton nuclear magnetic resonance-based metabonomics for rapid diagnosis of meningitis and ventriculitis. Clin. Infect. Dis. 2005;41(11):1582-1590.</mixed-citation><mixed-citation xml:lang="en">Coen M., O’Sullivan M., Bubb W.A., Kuchel P.W., Sorrell T. Proton nuclear magnetic resonance-based metabonomics for rapid diagnosis of meningitis and ventriculitis. Clin. Infect. Dis. 2005;41(11):1582-1590.</mixed-citation></citation-alternatives></ref><ref id="cit74"><label>74</label><citation-alternatives><mixed-citation xml:lang="ru">Himmelreich U., Malik R., Kuhn T., Daniel H.M., Somorjai R.L. et al. Rapid etiological classification of meningitis by NMR spectroscopy based on metabolite profiles and host response. PLoS One. 2009;4(4):e5328. doi: 10.1371/journal.pone.0005328.</mixed-citation><mixed-citation xml:lang="en">Himmelreich U., Malik R., Kuhn T., Daniel H.M., Somorjai R.L. et al. Rapid etiological classification of meningitis by NMR spectroscopy based on metabolite profiles and host response. PLoS One. 2009;4(4):e5328. doi: 10.1371/journal.pone.0005328.</mixed-citation></citation-alternatives></ref><ref id="cit75"><label>75</label><citation-alternatives><mixed-citation xml:lang="ru">Subramanian A., Gupta A., Saxena S., Gupta A., Kumar R. et al. Proton MR CSF analysis and a new software as predictors for the differentiation of meningitis in children. NMR Biomed. 2005;18(4):213-225.</mixed-citation><mixed-citation xml:lang="en">Subramanian A., Gupta A., Saxena S., Gupta A., Kumar R. et al. Proton MR CSF analysis and a new software as predictors for the differentiation of meningitis in children. NMR Biomed. 2005;18(4):213-225.</mixed-citation></citation-alternatives></ref><ref id="cit76"><label>76</label><citation-alternatives><mixed-citation xml:lang="ru">Glickman M.S., Cox J.S., Jacobs W.R. A novel mycolic acid cyclopropane synthetase is required for cording, persistence, and virulence of Mycobacterium tuberculosis. Mol. Cell. 2000;5(4):717-727.</mixed-citation><mixed-citation xml:lang="en">Glickman M.S., Cox J.S., Jacobs W.R. A novel mycolic acid cyclopropane synthetase is required for cording, persistence, and virulence of Mycobacterium tuberculosis. Mol. Cell. 2000;5(4):717-727.</mixed-citation></citation-alternatives></ref><ref id="cit77"><label>77</label><citation-alternatives><mixed-citation xml:lang="ru">French C.D., Willoughby R.E., Pan A., Wong S.J., Foley J.F. et al. NMR metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system. PLoS Negl. Trop. Dis. 2018;12(12):e0007045. doi: 10.1371/journal.pntd.0007045.</mixed-citation><mixed-citation xml:lang="en">French C.D., Willoughby R.E., Pan A., Wong S.J., Foley J.F. et al. NMR metabolomics of cerebrospinal fluid differentiates inflammatory diseases of the central nervous system. PLoS Negl. Trop. Dis. 2018;12(12):e0007045. doi: 10.1371/journal.pntd.0007045.</mixed-citation></citation-alternatives></ref><ref id="cit78"><label>78</label><citation-alternatives><mixed-citation xml:lang="ru">Шишкина Е.С., Мухачева М.В., Окулова И.И. Нейрокогнитивные расстройства при ВИЧ-энцефалопатии. Вят. мед. вестн. 2018;2:14-17. [Shishkina E.S., Muhacheva M.V, Oku-lova 1.1. Neuro-cognitive disorders in HIV-encephalopathy. Vjat. Med. Vestn. 2018;2:14-17. (In Russian)].</mixed-citation><mixed-citation xml:lang="en">Шишкина Е.С., Мухачева М.В., Окулова И.И. Нейрокогнитивные расстройства при ВИЧ-энцефалопатии. Вят. мед. вестн. 2018;2:14-17. [Shishkina E.S., Muhacheva M.V, Oku-lova 1.1. Neuro-cognitive disorders in HIV-encephalopathy. Vjat. Med. Vestn. 2018;2:14-17. (In Russian)].</mixed-citation></citation-alternatives></ref><ref id="cit79"><label>79</label><citation-alternatives><mixed-citation xml:lang="ru">Anderson A.M., Harezlak J., Bharti A., Mi D., Taylor M.J. et al. Plasma and Cerebrospinal Fluid Biomarkers Predict Cerebral Injury in HIV-Infected Individuals on Stable Combination Antiretroviral Therapy. J. Acquir. Immune Defic. Syndr. 2015;69(1):29-35. doi: 10.1097/QAI.0000000000000532.</mixed-citation><mixed-citation xml:lang="en">Anderson A.M., Harezlak J., Bharti A., Mi D., Taylor M.J. et al. Plasma and Cerebrospinal Fluid Biomarkers Predict Cerebral Injury in HIV-Infected Individuals on Stable Combination Antiretroviral Therapy. J. Acquir. Immune Defic. Syndr. 2015;69(1):29-35. doi: 10.1097/QAI.0000000000000532.</mixed-citation></citation-alternatives></ref><ref id="cit80"><label>80</label><citation-alternatives><mixed-citation xml:lang="ru">Dickens A.M., Anthony D.C., Deutsch R., Mielke M.M., Claridge T.D. et al. Cerebrospinal fluid metabolomics implicate bioenergetic adaptation as a neural mechanism regulating shifts in cognitive states of HIV-infected patients. AIDS. 2015;29(5):559-569. doi: 10.1097/QAD.0000000000000580.</mixed-citation><mixed-citation xml:lang="en">Dickens A.M., Anthony D.C., Deutsch R., Mielke M.M., Claridge T.D. et al. Cerebrospinal fluid metabolomics implicate bioenergetic adaptation as a neural mechanism regulating shifts in cognitive states of HIV-infected patients. AIDS. 2015;29(5):559-569. doi: 10.1097/QAD.0000000000000580.</mixed-citation></citation-alternatives></ref><ref id="cit81"><label>81</label><citation-alternatives><mixed-citation xml:lang="ru">Cassol E., Misra V, Dutta A., Morgello S., Gabuzda D. Cerebrospinal fluid metabolomics reveals altered waste clearance and accelerated aging in HIV patients with neurocognitive impairment. AIDS. 2014;28(11):1579-1591. doi: 10.1097/QAD.0000000000000303.</mixed-citation><mixed-citation xml:lang="en">Cassol E., Misra V, Dutta A., Morgello S., Gabuzda D. Cerebrospinal fluid metabolomics reveals altered waste clearance and accelerated aging in HIV patients with neurocognitive impairment. AIDS. 2014;28(11):1579-1591. doi: 10.1097/QAD.0000000000000303.</mixed-citation></citation-alternatives></ref><ref id="cit82"><label>82</label><citation-alternatives><mixed-citation xml:lang="ru">Munshi S.U., Rewari B.B., Bhavesh N.S., Jameel S. Nuclear magnetic resonance based profiling of biofluids reveals metabolic dysregulation in HIV-infected persons and those on antiretroviral therapy. PLoS One. 2013;8(5):e64298. doi: 10.1371/journal.pone.0064298.</mixed-citation><mixed-citation xml:lang="en">Munshi S.U., Rewari B.B., Bhavesh N.S., Jameel S. Nuclear magnetic resonance based profiling of biofluids reveals metabolic dysregulation in HIV-infected persons and those on antiretroviral therapy. PLoS One. 2013;8(5):e64298. doi: 10.1371/journal.pone.0064298.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
