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Protein biomarkers for multiple sclerosis: semi-quantitative analysis of cerebrospinal fluid candidate protein biomarkers in different forms of multiple sclerosis
Background: The complex pathogenesis of multiple sclerosis, combined with an unpredictable prognosis, requires identification of disease-specific diagnostic and prognostic biomarkers. Objective: To determine whether inflammatory proteins, such as neurofilament light chain, myelin oligodendrocyte gly...
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Published in: | Multiple sclerosis 2012-08, Vol.18 (8), p.1081-1091 |
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container_end_page | 1091 |
container_issue | 8 |
container_start_page | 1081 |
container_title | Multiple sclerosis |
container_volume | 18 |
creator | Avsar, Timucin Korkmaz, Didem Tütüncü, Melih Demirci, N Onat Saip, Sabahattin Kamasak, Mustafa Siva, Aksel Turanli, Eda Tahir |
description | Background:
The complex pathogenesis of multiple sclerosis, combined with an unpredictable prognosis, requires identification of disease-specific diagnostic and prognostic biomarkers.
Objective:
To determine whether inflammatory proteins, such as neurofilament light chain, myelin oligodendrocyte glycoprotein and myelin basic protein, and neurodegenerative proteins, such as tau and glial fibrillary acidic protein, can serve as biomarkers for predicting the clinical subtype and prognosis of MS.
Methods:
Cerebrospinal fluid and serum samples were collected from patients with a diagnosis of clinically isolated syndrome (n = 46), relapsing–remitting MS (n = 67) or primary-progressive MS (n = 22) along with controls having other non-inflammatory neurological disease (n = 22). Western blot analyses were performed for the listed proteins. Protein levels were compared among different clinical subtypes using one-way analysis of variance analysis. The k-nearest neighbour algorithm was further used to assess the predictive use of these proteins for clinical subtype classification.
Results:
The results showed that each of tau, GFAP, MOG and NFL protein concentrations differed significantly (p < 0.001) in multiple sclerosis clinical subtypes compared with the controls. Levels of the proteins also differed between the multiple sclerosis clinical subtypes, which may be associated with the underlying disease process. Classification studies revealed that these proteins might be useful for identifying multiple sclerosis clinical subtypes.
Conclusions:
We showed that select biomarkers may have potential in identifying multiple sclerosis clinical subtypes. We also showed that the predictive value of the prognosis increased when using a combination of the proteins versus using them individually. |
doi_str_mv | 10.1177/1352458511433303 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1027042921</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_1352458511433303</sage_id><sourcerecordid>1027042921</sourcerecordid><originalsourceid>FETCH-LOGICAL-c395t-f083f8de20dbbbbbe1ff65383122c5188ec91b7c66842a7625ce1fa0988d953</originalsourceid><addsrcrecordid>eNp1kU1rFjEUhUOxtLV270oCIriZNh-TScadFG2FggXdD5nMjaRmZt4mGaF_x1_aO76vrbSYTT7uc-7J4RLymrNTzrU-41KJWhnFeS2lZHKPHPFa64q1mr3AM5artX5IXuZ8wxjTWqoDciiEQGGjj8jv6zQXCBPtwzza9BNSpn5OdFxiCZsINLsIac4hf6AZxlDdLnYqodgSfgG1k413WKOzpw4S9EhuAj5SH5cwUGenIQy2AN08t8HbELxH2VRWz_FPm-fGr8i-tzHDyW4_Jt8-f_p-flldfb34cv7xqnKyVaXyzEhvBhBs6NcF3PtGSSO5EE5xY8C1vNeuaUwtrG6EcohY1hoztEoek_fbrvjT2wVy6caQHcRoJ5iX3HEmNKtFKziib5-gN_OSMPVKGaZr1pgWKbalHKbICXy3SQGz3yHUrdPrnk4PJW92jZd-hOFB8HdcCLzbATY7G32ykwv5kWuElNqsYaotl-0P-Pd3_zG-B8ZHso8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1080740689</pqid></control><display><type>article</type><title>Protein biomarkers for multiple sclerosis: semi-quantitative analysis of cerebrospinal fluid candidate protein biomarkers in different forms of multiple sclerosis</title><source>Sage Journals Online</source><creator>Avsar, Timucin ; Korkmaz, Didem ; Tütüncü, Melih ; Demirci, N Onat ; Saip, Sabahattin ; Kamasak, Mustafa ; Siva, Aksel ; Turanli, Eda Tahir</creator><creatorcontrib>Avsar, Timucin ; Korkmaz, Didem ; Tütüncü, Melih ; Demirci, N Onat ; Saip, Sabahattin ; Kamasak, Mustafa ; Siva, Aksel ; Turanli, Eda Tahir</creatorcontrib><description>Background:
The complex pathogenesis of multiple sclerosis, combined with an unpredictable prognosis, requires identification of disease-specific diagnostic and prognostic biomarkers.
Objective:
To determine whether inflammatory proteins, such as neurofilament light chain, myelin oligodendrocyte glycoprotein and myelin basic protein, and neurodegenerative proteins, such as tau and glial fibrillary acidic protein, can serve as biomarkers for predicting the clinical subtype and prognosis of MS.
Methods:
Cerebrospinal fluid and serum samples were collected from patients with a diagnosis of clinically isolated syndrome (n = 46), relapsing–remitting MS (n = 67) or primary-progressive MS (n = 22) along with controls having other non-inflammatory neurological disease (n = 22). Western blot analyses were performed for the listed proteins. Protein levels were compared among different clinical subtypes using one-way analysis of variance analysis. The k-nearest neighbour algorithm was further used to assess the predictive use of these proteins for clinical subtype classification.
Results:
The results showed that each of tau, GFAP, MOG and NFL protein concentrations differed significantly (p < 0.001) in multiple sclerosis clinical subtypes compared with the controls. Levels of the proteins also differed between the multiple sclerosis clinical subtypes, which may be associated with the underlying disease process. Classification studies revealed that these proteins might be useful for identifying multiple sclerosis clinical subtypes.
Conclusions:
We showed that select biomarkers may have potential in identifying multiple sclerosis clinical subtypes. We also showed that the predictive value of the prognosis increased when using a combination of the proteins versus using them individually.</description><identifier>ISSN: 1352-4585</identifier><identifier>EISSN: 1477-0970</identifier><identifier>DOI: 10.1177/1352458511433303</identifier><identifier>PMID: 22252467</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adult ; Analysis of Variance ; Biological and medical sciences ; Biomarkers - blood ; Biomarkers - cerebrospinal fluid ; Blotting, Western ; Case-Control Studies ; Cerebrospinal Fluid Proteins - analysis ; Cerebrospinal Fluid Proteins - blood ; Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases ; Demyelinating Diseases - blood ; Demyelinating Diseases - cerebrospinal fluid ; Demyelinating Diseases - diagnosis ; Diagnosis, Differential ; Glial Fibrillary Acidic Protein - blood ; Glial Fibrillary Acidic Protein - cerebrospinal fluid ; Humans ; Medical sciences ; Middle Aged ; Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis ; Multiple Sclerosis, Chronic Progressive - blood ; Multiple Sclerosis, Chronic Progressive - cerebrospinal fluid ; Multiple Sclerosis, Chronic Progressive - diagnosis ; Multiple Sclerosis, Relapsing-Remitting - blood ; Multiple Sclerosis, Relapsing-Remitting - cerebrospinal fluid ; Multiple Sclerosis, Relapsing-Remitting - diagnosis ; Myelin-Oligodendrocyte Glycoprotein - blood ; Myelin-Oligodendrocyte Glycoprotein - cerebrospinal fluid ; Neurofilament Proteins - blood ; Neurofilament Proteins - cerebrospinal fluid ; Neurology ; Predictive Value of Tests ; Prognosis ; Prospective Studies ; tau Proteins - blood ; tau Proteins - cerebrospinal fluid ; Turkey ; Young Adult</subject><ispartof>Multiple sclerosis, 2012-08, Vol.18 (8), p.1081-1091</ispartof><rights>The Author(s) 2012</rights><rights>2015 INIST-CNRS</rights><rights>SAGE Publications © Aug 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-f083f8de20dbbbbbe1ff65383122c5188ec91b7c66842a7625ce1fa0988d953</citedby><cites>FETCH-LOGICAL-c395t-f083f8de20dbbbbbe1ff65383122c5188ec91b7c66842a7625ce1fa0988d953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,79364</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26233785$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22252467$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Avsar, Timucin</creatorcontrib><creatorcontrib>Korkmaz, Didem</creatorcontrib><creatorcontrib>Tütüncü, Melih</creatorcontrib><creatorcontrib>Demirci, N Onat</creatorcontrib><creatorcontrib>Saip, Sabahattin</creatorcontrib><creatorcontrib>Kamasak, Mustafa</creatorcontrib><creatorcontrib>Siva, Aksel</creatorcontrib><creatorcontrib>Turanli, Eda Tahir</creatorcontrib><title>Protein biomarkers for multiple sclerosis: semi-quantitative analysis of cerebrospinal fluid candidate protein biomarkers in different forms of multiple sclerosis</title><title>Multiple sclerosis</title><addtitle>Mult Scler</addtitle><description>Background:
The complex pathogenesis of multiple sclerosis, combined with an unpredictable prognosis, requires identification of disease-specific diagnostic and prognostic biomarkers.
Objective:
To determine whether inflammatory proteins, such as neurofilament light chain, myelin oligodendrocyte glycoprotein and myelin basic protein, and neurodegenerative proteins, such as tau and glial fibrillary acidic protein, can serve as biomarkers for predicting the clinical subtype and prognosis of MS.
Methods:
Cerebrospinal fluid and serum samples were collected from patients with a diagnosis of clinically isolated syndrome (n = 46), relapsing–remitting MS (n = 67) or primary-progressive MS (n = 22) along with controls having other non-inflammatory neurological disease (n = 22). Western blot analyses were performed for the listed proteins. Protein levels were compared among different clinical subtypes using one-way analysis of variance analysis. The k-nearest neighbour algorithm was further used to assess the predictive use of these proteins for clinical subtype classification.
Results:
The results showed that each of tau, GFAP, MOG and NFL protein concentrations differed significantly (p < 0.001) in multiple sclerosis clinical subtypes compared with the controls. Levels of the proteins also differed between the multiple sclerosis clinical subtypes, which may be associated with the underlying disease process. Classification studies revealed that these proteins might be useful for identifying multiple sclerosis clinical subtypes.
Conclusions:
We showed that select biomarkers may have potential in identifying multiple sclerosis clinical subtypes. We also showed that the predictive value of the prognosis increased when using a combination of the proteins versus using them individually.</description><subject>Adult</subject><subject>Analysis of Variance</subject><subject>Biological and medical sciences</subject><subject>Biomarkers - blood</subject><subject>Biomarkers - cerebrospinal fluid</subject><subject>Blotting, Western</subject><subject>Case-Control Studies</subject><subject>Cerebrospinal Fluid Proteins - analysis</subject><subject>Cerebrospinal Fluid Proteins - blood</subject><subject>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</subject><subject>Demyelinating Diseases - blood</subject><subject>Demyelinating Diseases - cerebrospinal fluid</subject><subject>Demyelinating Diseases - diagnosis</subject><subject>Diagnosis, Differential</subject><subject>Glial Fibrillary Acidic Protein - blood</subject><subject>Glial Fibrillary Acidic Protein - cerebrospinal fluid</subject><subject>Humans</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis</subject><subject>Multiple Sclerosis, Chronic Progressive - blood</subject><subject>Multiple Sclerosis, Chronic Progressive - cerebrospinal fluid</subject><subject>Multiple Sclerosis, Chronic Progressive - diagnosis</subject><subject>Multiple Sclerosis, Relapsing-Remitting - blood</subject><subject>Multiple Sclerosis, Relapsing-Remitting - cerebrospinal fluid</subject><subject>Multiple Sclerosis, Relapsing-Remitting - diagnosis</subject><subject>Myelin-Oligodendrocyte Glycoprotein - blood</subject><subject>Myelin-Oligodendrocyte Glycoprotein - cerebrospinal fluid</subject><subject>Neurofilament Proteins - blood</subject><subject>Neurofilament Proteins - cerebrospinal fluid</subject><subject>Neurology</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>tau Proteins - blood</subject><subject>tau Proteins - cerebrospinal fluid</subject><subject>Turkey</subject><subject>Young Adult</subject><issn>1352-4585</issn><issn>1477-0970</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp1kU1rFjEUhUOxtLV270oCIriZNh-TScadFG2FggXdD5nMjaRmZt4mGaF_x1_aO76vrbSYTT7uc-7J4RLymrNTzrU-41KJWhnFeS2lZHKPHPFa64q1mr3AM5artX5IXuZ8wxjTWqoDciiEQGGjj8jv6zQXCBPtwzza9BNSpn5OdFxiCZsINLsIac4hf6AZxlDdLnYqodgSfgG1k413WKOzpw4S9EhuAj5SH5cwUGenIQy2AN08t8HbELxH2VRWz_FPm-fGr8i-tzHDyW4_Jt8-f_p-flldfb34cv7xqnKyVaXyzEhvBhBs6NcF3PtGSSO5EE5xY8C1vNeuaUwtrG6EcohY1hoztEoek_fbrvjT2wVy6caQHcRoJ5iX3HEmNKtFKziib5-gN_OSMPVKGaZr1pgWKbalHKbICXy3SQGz3yHUrdPrnk4PJW92jZd-hOFB8HdcCLzbATY7G32ykwv5kWuElNqsYaotl-0P-Pd3_zG-B8ZHso8</recordid><startdate>20120801</startdate><enddate>20120801</enddate><creator>Avsar, Timucin</creator><creator>Korkmaz, Didem</creator><creator>Tütüncü, Melih</creator><creator>Demirci, N Onat</creator><creator>Saip, Sabahattin</creator><creator>Kamasak, Mustafa</creator><creator>Siva, Aksel</creator><creator>Turanli, Eda Tahir</creator><general>SAGE Publications</general><general>Sage Publications</general><general>Sage Publications Ltd</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7TK</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9-</scope><scope>K9.</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20120801</creationdate><title>Protein biomarkers for multiple sclerosis: semi-quantitative analysis of cerebrospinal fluid candidate protein biomarkers in different forms of multiple sclerosis</title><author>Avsar, Timucin ; Korkmaz, Didem ; Tütüncü, Melih ; Demirci, N Onat ; Saip, Sabahattin ; Kamasak, Mustafa ; Siva, Aksel ; Turanli, Eda Tahir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-f083f8de20dbbbbbe1ff65383122c5188ec91b7c66842a7625ce1fa0988d953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Analysis of Variance</topic><topic>Biological and medical sciences</topic><topic>Biomarkers - blood</topic><topic>Biomarkers - cerebrospinal fluid</topic><topic>Blotting, Western</topic><topic>Case-Control Studies</topic><topic>Cerebrospinal Fluid Proteins - analysis</topic><topic>Cerebrospinal Fluid Proteins - blood</topic><topic>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</topic><topic>Demyelinating Diseases - blood</topic><topic>Demyelinating Diseases - cerebrospinal fluid</topic><topic>Demyelinating Diseases - diagnosis</topic><topic>Diagnosis, Differential</topic><topic>Glial Fibrillary Acidic Protein - blood</topic><topic>Glial Fibrillary Acidic Protein - cerebrospinal fluid</topic><topic>Humans</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis</topic><topic>Multiple Sclerosis, Chronic Progressive - blood</topic><topic>Multiple Sclerosis, Chronic Progressive - cerebrospinal fluid</topic><topic>Multiple Sclerosis, Chronic Progressive - diagnosis</topic><topic>Multiple Sclerosis, Relapsing-Remitting - blood</topic><topic>Multiple Sclerosis, Relapsing-Remitting - cerebrospinal fluid</topic><topic>Multiple Sclerosis, Relapsing-Remitting - diagnosis</topic><topic>Myelin-Oligodendrocyte Glycoprotein - blood</topic><topic>Myelin-Oligodendrocyte Glycoprotein - cerebrospinal fluid</topic><topic>Neurofilament Proteins - blood</topic><topic>Neurofilament Proteins - cerebrospinal fluid</topic><topic>Neurology</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>tau Proteins - blood</topic><topic>tau Proteins - cerebrospinal fluid</topic><topic>Turkey</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Avsar, Timucin</creatorcontrib><creatorcontrib>Korkmaz, Didem</creatorcontrib><creatorcontrib>Tütüncü, Melih</creatorcontrib><creatorcontrib>Demirci, N Onat</creatorcontrib><creatorcontrib>Saip, Sabahattin</creatorcontrib><creatorcontrib>Kamasak, Mustafa</creatorcontrib><creatorcontrib>Siva, Aksel</creatorcontrib><creatorcontrib>Turanli, Eda Tahir</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</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>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Family Health Database (Proquest)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</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>MEDLINE - Academic</collection><jtitle>Multiple sclerosis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Avsar, Timucin</au><au>Korkmaz, Didem</au><au>Tütüncü, Melih</au><au>Demirci, N Onat</au><au>Saip, Sabahattin</au><au>Kamasak, Mustafa</au><au>Siva, Aksel</au><au>Turanli, Eda Tahir</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Protein biomarkers for multiple sclerosis: semi-quantitative analysis of cerebrospinal fluid candidate protein biomarkers in different forms of multiple sclerosis</atitle><jtitle>Multiple sclerosis</jtitle><addtitle>Mult Scler</addtitle><date>2012-08-01</date><risdate>2012</risdate><volume>18</volume><issue>8</issue><spage>1081</spage><epage>1091</epage><pages>1081-1091</pages><issn>1352-4585</issn><eissn>1477-0970</eissn><abstract>Background:
The complex pathogenesis of multiple sclerosis, combined with an unpredictable prognosis, requires identification of disease-specific diagnostic and prognostic biomarkers.
Objective:
To determine whether inflammatory proteins, such as neurofilament light chain, myelin oligodendrocyte glycoprotein and myelin basic protein, and neurodegenerative proteins, such as tau and glial fibrillary acidic protein, can serve as biomarkers for predicting the clinical subtype and prognosis of MS.
Methods:
Cerebrospinal fluid and serum samples were collected from patients with a diagnosis of clinically isolated syndrome (n = 46), relapsing–remitting MS (n = 67) or primary-progressive MS (n = 22) along with controls having other non-inflammatory neurological disease (n = 22). Western blot analyses were performed for the listed proteins. Protein levels were compared among different clinical subtypes using one-way analysis of variance analysis. The k-nearest neighbour algorithm was further used to assess the predictive use of these proteins for clinical subtype classification.
Results:
The results showed that each of tau, GFAP, MOG and NFL protein concentrations differed significantly (p < 0.001) in multiple sclerosis clinical subtypes compared with the controls. Levels of the proteins also differed between the multiple sclerosis clinical subtypes, which may be associated with the underlying disease process. Classification studies revealed that these proteins might be useful for identifying multiple sclerosis clinical subtypes.
Conclusions:
We showed that select biomarkers may have potential in identifying multiple sclerosis clinical subtypes. We also showed that the predictive value of the prognosis increased when using a combination of the proteins versus using them individually.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>22252467</pmid><doi>10.1177/1352458511433303</doi><tpages>11</tpages></addata></record> |
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subjects | Adult Analysis of Variance Biological and medical sciences Biomarkers - blood Biomarkers - cerebrospinal fluid Blotting, Western Case-Control Studies Cerebrospinal Fluid Proteins - analysis Cerebrospinal Fluid Proteins - blood Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases Demyelinating Diseases - blood Demyelinating Diseases - cerebrospinal fluid Demyelinating Diseases - diagnosis Diagnosis, Differential Glial Fibrillary Acidic Protein - blood Glial Fibrillary Acidic Protein - cerebrospinal fluid Humans Medical sciences Middle Aged Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis Multiple Sclerosis, Chronic Progressive - blood Multiple Sclerosis, Chronic Progressive - cerebrospinal fluid Multiple Sclerosis, Chronic Progressive - diagnosis Multiple Sclerosis, Relapsing-Remitting - blood Multiple Sclerosis, Relapsing-Remitting - cerebrospinal fluid Multiple Sclerosis, Relapsing-Remitting - diagnosis Myelin-Oligodendrocyte Glycoprotein - blood Myelin-Oligodendrocyte Glycoprotein - cerebrospinal fluid Neurofilament Proteins - blood Neurofilament Proteins - cerebrospinal fluid Neurology Predictive Value of Tests Prognosis Prospective Studies tau Proteins - blood tau Proteins - cerebrospinal fluid Turkey Young Adult |
title | Protein biomarkers for multiple sclerosis: semi-quantitative analysis of cerebrospinal fluid candidate protein biomarkers in different forms of multiple sclerosis |
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