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Cerebrospinal fluid levels of chitinase 3-like 1 and interleukin-6 can predict response to platform therapies in relapsing multiple sclerosis.

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Title: Cerebrospinal fluid levels of chitinase 3-like 1 and interleukin-6 can predict response to platform therapies in relapsing multiple sclerosis.
Authors: Mathey, Guillaume1,2 (AUTHOR) g.mathey@chru-nancy.fr, Epstein, Jonathan2,3 (AUTHOR), Alix, Tom4,5 (AUTHOR), Julien, Melissa6 (AUTHOR), Nisse, Estelle7 (AUTHOR), Pittion-Vouyovitch, Sophie1 (AUTHOR), Prunis, Chloé1 (AUTHOR), Malaplate, Catherine7,8 (AUTHOR)
Source: Journal of Neurology. Sep2025, Vol. 272 Issue 9, p1-10. 10p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 187540669
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Cerebrospinal fluid levels of chitinase 3-like 1 and interleukin-6 can predict response to platform therapies in relapsing multiple sclerosis.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Neurology%22">Journal of Neurology</searchLink>. Sep2025, Vol. 272 Issue 9, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187540669
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00415-025-13321-8
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 1
    Titles:
      – TitleFull: Cerebrospinal fluid levels of chitinase 3-like 1 and interleukin-6 can predict response to platform therapies in relapsing multiple sclerosis.
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            NameFull: Mathey, Guillaume
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            NameFull: Epstein, Jonathan
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            NameFull: Alix, Tom
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            NameFull: Julien, Melissa
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            NameFull: Nisse, Estelle
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            NameFull: Pittion-Vouyovitch, Sophie
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            NameFull: Prunis, Chloé
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            NameFull: Malaplate, Catherine
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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              Value: 272
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              Value: 9
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            – TitleFull: Journal of Neurology
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