Neuron-Specific Markers and their Correlation with Neurological Scales in Patients with Acute Neuropathologies
In predicting outcomes in patients with acute brain injury, current practice focuses special attention on neuron-specific proteins that reliably reflect the severity of the lesion. Further studies of molecular markers and their specificity and sensitivity could contribute to broadening the understan...
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creator | Tokshilykova, Ainur B. Sarkulova, Zhanslu N. Kabdrakhmanova, Gulnar B. Utepkaliyeva, Aigul P. Tleuova, Arzikhiya S. Satenov, Zhusupbek K. |
description | In predicting outcomes in patients with acute brain injury, current practice focuses special attention on neuron-specific proteins that reliably reflect the severity of the lesion. Further studies of molecular markers and their specificity and sensitivity could contribute to broadening the understanding of pathophysiological, diagnostic, and prognostic methods, which is vital to reducing the mortality and disability associated with these critical conditions. The purpose of this study was to assess the biomarkers of brain lesions and their correlative relations with the integral Glasgow Coma Scale (GCS) and National Institutes of Health Stroke Scale (NIHSS) in predicting severity and treatment outcomes in patients with acute neuropathologies. Ninety patients were examined, including those with traumatic brain lesions (16.6%,
n
= 15), hemorrhagic stroke (52.2%,
n
= 47), and ischemic stroke (31.1%,
n
= 28). Patients were classified into two groups according to the outcome of the disease: those who survived (group I, 57.8%,
n
= 52) and those who died (group II, 42.2%,
n
= 38). In comparison with the survivors, the group of patients who died demonstrated an initial increase in neuron-specific enolase (NSE) by 1.23 and S100 by 6.45 times, and in dynamics by 1.5 and 7.4 times. A significant correlation with NIHSS and GCS was determined for NSE (
r
= 0.1149;
P
= 0.3073 and
r
= −0.0758;
P
= 0.5011) and for S100 (
r
= 0.3243;
P
= 0.0031 and
r
= −0.2661;
P
= 0.0163). The receiver operating characteristic (ROC) curves were 0.828 for S100 and 0.712 for NSE. The degree of sensitivity and specificity of the markers was studied. Increased levels of S100 and NSE correlated with NIHSS and GCS, with sensitivity of 80.77 and 63.46% and specificity of 42.11 and 73.68%, respectively, and were predictive of adverse disease outcome. The survival analysis showed that early detection of these biomarkers enables the timely prognostication of the progression of secondary brain injury and aids in implementing treatment. |
doi_str_mv | 10.1007/s12031-020-01536-5 |
format | Article |
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n
= 15), hemorrhagic stroke (52.2%,
n
= 47), and ischemic stroke (31.1%,
n
= 28). Patients were classified into two groups according to the outcome of the disease: those who survived (group I, 57.8%,
n
= 52) and those who died (group II, 42.2%,
n
= 38). In comparison with the survivors, the group of patients who died demonstrated an initial increase in neuron-specific enolase (NSE) by 1.23 and S100 by 6.45 times, and in dynamics by 1.5 and 7.4 times. A significant correlation with NIHSS and GCS was determined for NSE (
r
= 0.1149;
P
= 0.3073 and
r
= −0.0758;
P
= 0.5011) and for S100 (
r
= 0.3243;
P
= 0.0031 and
r
= −0.2661;
P
= 0.0163). The receiver operating characteristic (ROC) curves were 0.828 for S100 and 0.712 for NSE. The degree of sensitivity and specificity of the markers was studied. Increased levels of S100 and NSE correlated with NIHSS and GCS, with sensitivity of 80.77 and 63.46% and specificity of 42.11 and 73.68%, respectively, and were predictive of adverse disease outcome. The survival analysis showed that early detection of these biomarkers enables the timely prognostication of the progression of secondary brain injury and aids in implementing treatment.</description><identifier>ISSN: 0895-8696</identifier><identifier>EISSN: 1559-1166</identifier><identifier>DOI: 10.1007/s12031-020-01536-5</identifier><identifier>PMID: 32350763</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Biomarkers ; Biomedical and Life Sciences ; Biomedicine ; Brain ; Cell Biology ; Coma ; Diagnostic systems ; Head injuries ; Hemorrhage ; Ischemia ; Lesions ; Neurochemistry ; Neurology ; Neurosciences ; Phosphopyruvate hydratase ; Proteomics ; Sensitivity ; Stroke ; Survival ; Survival analysis ; Traumatic brain injury</subject><ispartof>Journal of molecular neuroscience, 2020-08, Vol.70 (8), p.1267-1273</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-dd1fa0123980cf51021362aeb525191675d6b0fbf57663b7ccd638d15cf1b6c43</citedby><cites>FETCH-LOGICAL-c375t-dd1fa0123980cf51021362aeb525191675d6b0fbf57663b7ccd638d15cf1b6c43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12031-020-01536-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12031-020-01536-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32350763$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tokshilykova, Ainur B.</creatorcontrib><creatorcontrib>Sarkulova, Zhanslu N.</creatorcontrib><creatorcontrib>Kabdrakhmanova, Gulnar B.</creatorcontrib><creatorcontrib>Utepkaliyeva, Aigul P.</creatorcontrib><creatorcontrib>Tleuova, Arzikhiya S.</creatorcontrib><creatorcontrib>Satenov, Zhusupbek K.</creatorcontrib><title>Neuron-Specific Markers and their Correlation with Neurological Scales in Patients with Acute Neuropathologies</title><title>Journal of molecular neuroscience</title><addtitle>J Mol Neurosci</addtitle><addtitle>J Mol Neurosci</addtitle><description>In predicting outcomes in patients with acute brain injury, current practice focuses special attention on neuron-specific proteins that reliably reflect the severity of the lesion. Further studies of molecular markers and their specificity and sensitivity could contribute to broadening the understanding of pathophysiological, diagnostic, and prognostic methods, which is vital to reducing the mortality and disability associated with these critical conditions. The purpose of this study was to assess the biomarkers of brain lesions and their correlative relations with the integral Glasgow Coma Scale (GCS) and National Institutes of Health Stroke Scale (NIHSS) in predicting severity and treatment outcomes in patients with acute neuropathologies. Ninety patients were examined, including those with traumatic brain lesions (16.6%,
n
= 15), hemorrhagic stroke (52.2%,
n
= 47), and ischemic stroke (31.1%,
n
= 28). Patients were classified into two groups according to the outcome of the disease: those who survived (group I, 57.8%,
n
= 52) and those who died (group II, 42.2%,
n
= 38). In comparison with the survivors, the group of patients who died demonstrated an initial increase in neuron-specific enolase (NSE) by 1.23 and S100 by 6.45 times, and in dynamics by 1.5 and 7.4 times. A significant correlation with NIHSS and GCS was determined for NSE (
r
= 0.1149;
P
= 0.3073 and
r
= −0.0758;
P
= 0.5011) and for S100 (
r
= 0.3243;
P
= 0.0031 and
r
= −0.2661;
P
= 0.0163). The receiver operating characteristic (ROC) curves were 0.828 for S100 and 0.712 for NSE. The degree of sensitivity and specificity of the markers was studied. Increased levels of S100 and NSE correlated with NIHSS and GCS, with sensitivity of 80.77 and 63.46% and specificity of 42.11 and 73.68%, respectively, and were predictive of adverse disease outcome. The survival analysis showed that early detection of these biomarkers enables the timely prognostication of the progression of secondary brain injury and aids in implementing treatment.</description><subject>Biomarkers</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Brain</subject><subject>Cell Biology</subject><subject>Coma</subject><subject>Diagnostic systems</subject><subject>Head injuries</subject><subject>Hemorrhage</subject><subject>Ischemia</subject><subject>Lesions</subject><subject>Neurochemistry</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>Phosphopyruvate hydratase</subject><subject>Proteomics</subject><subject>Sensitivity</subject><subject>Stroke</subject><subject>Survival</subject><subject>Survival analysis</subject><subject>Traumatic brain injury</subject><issn>0895-8696</issn><issn>1559-1166</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU9v1DAQxa0KRJfCF-gBWeLCxTBjr53kWK1KqVT-SIWz5TiTrkvW2dqJEN8ed9OC1AOXmcP83pvRPMZOEd4jQPUhowSFAiQIQK2M0EdshVo3AtGYZ2wFdaNFbRpzzF7mfAsgcY31C3aspNJQGbVi8QvNaYziek8-9MHzzy79pJS5ix2fthQS34wp0eCmMEb-K0xbfpAM403wbuDXpVDmIfJvBaE45QU68_NEC7p30_bAU37FnvduyPT6oZ-wHx_Pv28-iauvF5ebsyvhVaUn0XXYO0Cpmhp8r7Ecrox01GqpsUFT6c600Le9roxRbeV9Z1TdofY9tsav1Ql7t_ju03g3U57sLmRPw-AijXO2xdnU5VNrKOjbJ-jtOKdYrrNyLZVSWoIplFwon8acE_V2n8LOpd8Wwd6nYZc0bEnDHtKwuojePFjP7Y66v5LH9xdALUAuo3hD6d_u_9j-ARsHlUI</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Tokshilykova, Ainur B.</creator><creator>Sarkulova, Zhanslu N.</creator><creator>Kabdrakhmanova, Gulnar B.</creator><creator>Utepkaliyeva, Aigul P.</creator><creator>Tleuova, Arzikhiya S.</creator><creator>Satenov, Zhusupbek K.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QR</scope><scope>7T7</scope><scope>7TK</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7N</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20200801</creationdate><title>Neuron-Specific Markers and their Correlation with Neurological Scales in Patients with Acute Neuropathologies</title><author>Tokshilykova, Ainur B. ; Sarkulova, Zhanslu N. ; Kabdrakhmanova, Gulnar B. ; Utepkaliyeva, Aigul P. ; Tleuova, Arzikhiya S. ; Satenov, Zhusupbek K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-dd1fa0123980cf51021362aeb525191675d6b0fbf57663b7ccd638d15cf1b6c43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biomarkers</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Brain</topic><topic>Cell Biology</topic><topic>Coma</topic><topic>Diagnostic systems</topic><topic>Head injuries</topic><topic>Hemorrhage</topic><topic>Ischemia</topic><topic>Lesions</topic><topic>Neurochemistry</topic><topic>Neurology</topic><topic>Neurosciences</topic><topic>Phosphopyruvate hydratase</topic><topic>Proteomics</topic><topic>Sensitivity</topic><topic>Stroke</topic><topic>Survival</topic><topic>Survival analysis</topic><topic>Traumatic brain injury</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tokshilykova, Ainur B.</creatorcontrib><creatorcontrib>Sarkulova, Zhanslu N.</creatorcontrib><creatorcontrib>Kabdrakhmanova, Gulnar B.</creatorcontrib><creatorcontrib>Utepkaliyeva, Aigul P.</creatorcontrib><creatorcontrib>Tleuova, Arzikhiya S.</creatorcontrib><creatorcontrib>Satenov, Zhusupbek K.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Chemoreception Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of molecular neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tokshilykova, Ainur B.</au><au>Sarkulova, Zhanslu N.</au><au>Kabdrakhmanova, Gulnar B.</au><au>Utepkaliyeva, Aigul P.</au><au>Tleuova, Arzikhiya S.</au><au>Satenov, Zhusupbek K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Neuron-Specific Markers and their Correlation with Neurological Scales in Patients with Acute Neuropathologies</atitle><jtitle>Journal of molecular neuroscience</jtitle><stitle>J Mol Neurosci</stitle><addtitle>J Mol Neurosci</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>70</volume><issue>8</issue><spage>1267</spage><epage>1273</epage><pages>1267-1273</pages><issn>0895-8696</issn><eissn>1559-1166</eissn><abstract>In predicting outcomes in patients with acute brain injury, current practice focuses special attention on neuron-specific proteins that reliably reflect the severity of the lesion. Further studies of molecular markers and their specificity and sensitivity could contribute to broadening the understanding of pathophysiological, diagnostic, and prognostic methods, which is vital to reducing the mortality and disability associated with these critical conditions. The purpose of this study was to assess the biomarkers of brain lesions and their correlative relations with the integral Glasgow Coma Scale (GCS) and National Institutes of Health Stroke Scale (NIHSS) in predicting severity and treatment outcomes in patients with acute neuropathologies. Ninety patients were examined, including those with traumatic brain lesions (16.6%,
n
= 15), hemorrhagic stroke (52.2%,
n
= 47), and ischemic stroke (31.1%,
n
= 28). Patients were classified into two groups according to the outcome of the disease: those who survived (group I, 57.8%,
n
= 52) and those who died (group II, 42.2%,
n
= 38). In comparison with the survivors, the group of patients who died demonstrated an initial increase in neuron-specific enolase (NSE) by 1.23 and S100 by 6.45 times, and in dynamics by 1.5 and 7.4 times. A significant correlation with NIHSS and GCS was determined for NSE (
r
= 0.1149;
P
= 0.3073 and
r
= −0.0758;
P
= 0.5011) and for S100 (
r
= 0.3243;
P
= 0.0031 and
r
= −0.2661;
P
= 0.0163). The receiver operating characteristic (ROC) curves were 0.828 for S100 and 0.712 for NSE. The degree of sensitivity and specificity of the markers was studied. Increased levels of S100 and NSE correlated with NIHSS and GCS, with sensitivity of 80.77 and 63.46% and specificity of 42.11 and 73.68%, respectively, and were predictive of adverse disease outcome. The survival analysis showed that early detection of these biomarkers enables the timely prognostication of the progression of secondary brain injury and aids in implementing treatment.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>32350763</pmid><doi>10.1007/s12031-020-01536-5</doi><tpages>7</tpages></addata></record> |
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subjects | Biomarkers Biomedical and Life Sciences Biomedicine Brain Cell Biology Coma Diagnostic systems Head injuries Hemorrhage Ischemia Lesions Neurochemistry Neurology Neurosciences Phosphopyruvate hydratase Proteomics Sensitivity Stroke Survival Survival analysis Traumatic brain injury |
title | Neuron-Specific Markers and their Correlation with Neurological Scales in Patients with Acute Neuropathologies |
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