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Research Article| Volume 56, 103231, November 2021

Cerebrospinal Tau levels as a predictor of early disability in multiple sclerosis

  • Eleonora Virgilio
    Correspondence
    Corresponding author at: University of Piemonte Orientale, Corso Mazzini 18, Novara 28100, Italy.
    Affiliations
    Neurology Unit, Maggiore della Carità Hospital, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy

    Neurology Unit, S. Andrea Hospital, Department of Translational Medicine, University of Piemonte Orientale, Vercelli, Italy
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  • Domizia Vecchio
    Affiliations
    Neurology Unit, Maggiore della Carità Hospital, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy

    Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
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  • Ilaria Crespi
    Affiliations
    Clinical Biochemistry, Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
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  • Roberto Serino
    Affiliations
    Clinical Biochemistry, Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
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  • Roberto Cantello
    Affiliations
    Neurology Unit, Maggiore della Carità Hospital, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
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  • Umberto Dianzani
    Affiliations
    Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Department of Health Sciences, University of Piemonte Orientale, Novara, Italy

    Clinical Biochemistry, Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
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  • Cristoforo Comi
    Affiliations
    Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), Department of Health Sciences, University of Piemonte Orientale, Novara, Italy

    Neurology Unit, S. Andrea Hospital, Department of Translational Medicine, University of Piemonte Orientale, Vercelli, Italy
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Published:August 28, 2021DOI:https://doi.org/10.1016/j.msard.2021.103231

      Highlights

      • Mechanisms underlying neurodegeneration in MS still remain unclear.
      • Tau is currently a diagnostic biomarker of several neurodegenerative diseases.
      • Cerebrospinal fluid Tau levels at MS diagnosis possibly predict early disability.
      • Tau may reflect chronic axonal damage, which contributes to early disability.

      Abstract

      Introduction

      Axonal loss is an important feature of Multiple Sclerosis (MS), being strongly related to irreversible disability accumulation. Nonetheless, the exact mechanisms underlying axonal loss remain unclear. Cerebrospinal fluid (CSF) levels of Tau and Beta-amyloid (Abeta) currently represent diagnostic biomarkers in other neurodegenerative diseases. In MS, studies on CSF Tau and Abeta provided preliminary informations on disease prognosis, but results have not yet been replicated.

      Methods

      We investigated whether CSF Tau and Abeta levels could predict early disability accumulation in MS patients. 100 patients underwent CSF analysis during their diagnostic work-up. Demographic, clinical, radiological features and CSF were collected at baseline. MS severity score (MSSS) and age-related MSSS (ARMSS) were calculated at last follow-up. We performed Mann–Whitney test, Spearman's coefficient, and multiple regression analysis for significant predictors of disability based on CSF Abeta and Tau levels, gender, age at diagnosis and MRI characteristics at baseline.

      Results

      Baseline CSF Tau levels moderately correlated with MSSS (r=0.372 p=0.0001) and weakly with ARMSS (r=0.237 p=0.0176) after a mean two years follow-up. Predictors of early disability evaluated with MSSS and ARMSS were CSF Tau (Beta:0.258 p=0.009 and Beta:0.252 p=0.01) and spinal cord involvement (Beta:0.196 p=0.029 and Beta:0.240 p=0.008); as well as age at MS diagnosis (Beta:0.286 p=0.001) for MSSS, and high brain lesion load (Beta:0.207 p=0.02) for ARMSS.

      Conclusion

      CSF Tau levels at diagnosis possibly has a predictive value along with MRI features and age at diagnosis. We hypothesize that Tau levels may express chronic axonal damage, possibly contributing to early MS disability.

      Keywords

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      References

        • Andreasen N.
        • Sjögren M.
        • Blennow K.
        CSF markers for Alzheimer's disease: total tau, phospho-tau and Abeta42.
        World J. Biol. Psychiatry. 2003; 4: 147-155https://doi.org/10.1080/15622970310029912
        • Bartosik-Psujek H.
        • Psujek M.
        • Jaworski J.
        • Stelmasiak Z.
        Total tau and S100b proteins in different types of multiple sclerosis and during immunosuppressive treatment with mitoxantrone.
        Acta Neurol. Scand. 2011; 123: 252-256https://doi.org/10.1111/j.1600-0404.2010.01393.x
        • Bergamaschi R.
        Prognosis of multiple sclerosis: clinical factors predicting the late evolution for an early treatment decision.
        Expert Rev. Neurother. 2006; 6: 357-364https://doi.org/10.1586/14737175.6.3.357
        • Bergamaschi R.
        Prognostic factors in multiple sclerosis.
        Int. Rev. Neurobiol. 2007; 79: 423-447https://doi.org/10.1016/S0074-7742(07)79019-0
        • Bhan A.
        • Jacobsen C.
        • Myhr K.M.
        • Dalen I.
        • Lode K.
        • Farbu E.
        Neurofilaments and 10-year follow-up in multiple sclerosis.
        Mult. Scler. 2018; 24: 1301-1307https://doi.org/10.1177/1352458518782005
        • Charil A.
        • Filippi M.
        Inflammatory demyelination and neurodegeneration in early multiple sclerosis.
        J. Neurol. Sci. 2007; 259: 7-15https://doi.org/10.1016/j.jns.2006.08.017
        • Cree B.A.C.
        • Bowen J.D.
        • Hartung H.P.
        • Vermersch P.
        • Hughes B.
        • Damian D.
        • Leist T.P.
        • Hyvert Y.
        • Dangond F.
        • Galazka A.
        • Grosso M.
        • Jones D.L.
        Subgroup analysis of clinical and MRI outcomes in participants with a first clinical demyelinating event at risk of multiple sclerosis in the ORACLE-MS study.
        Mult. Scler. Relat. Disord. 2021; 49 (33578191)102695https://doi.org/10.1016/j.msard.2020.102695
        • Cree B.A.C.
        • Hollenbach J.A.
        • Bove R.
        • Kirkish G.
        • Sacco S.
        • Caverzasi E.
        • Hauser S.L.
        • Bischof A.
        • Gundel T.
        • Zhu A.H.
        • Papinutto N.
        • Stern W.A.
        • Bevan C.
        • Romeo A.
        • Goodin D.S.
        • Gelfand J.M.
        • Graves J
        • Green A.J.
        • Wilson M.R.
        • Zamvil S.S.
        • Zhao C.
        • Gomez R.
        • Ragan N.R.
        • Rush G.Q.
        • Barba P.
        • Santaniello A.
        • Baranzini S.E.
        • Oksenberg J.R.
        • Henry R.G.
        Silent progression in disease activity-free relapsing multiple sclerosis.
        Ann. Neurol. 2019; 85 (30851128): 653-666https://doi.org/10.1002/ana.25463
        • Crespi I.
        • Sulas M.G.
        • Mora R.
        • Naldi P.
        • Vecchio D.
        • Comi C.
        • Bellomo G.
        Combined use of kappa free light chain index and isoelectrofocusing of cerebro-spinal fluid in diagnosing multiple sclerosis: performances and costs.
        Clin. Lab. 2017; 63: 551-559https://doi.org/10.7754/Clin.Lab.2016.160930
        • Didonna A.
        Tau at the interface between neurodegeneration and neuroinflammation.
        Genes Immun. 2020; 21: 288-300https://doi.org/10.1038/s41435-020-00113-5
        • Disanto G.
        • Barro C.
        • Benkert P.
        • Naegelin Y.
        • Schadelin S.
        • Giardiello A.
        • Zecca C.
        • Blennow K.
        • Zetterberg H.
        • Leppert D.
        • Kappos L.
        • Gobbi C.
        • Kuhle J.
        • Swiss Multiple Sclerosis Cohort Study Group
        Serum neurofilament light: A biomarker of neuronal damage in multiple sclerosis.
        Ann. Neurol. 2017; 81 (28512753): 857-870https://doi.org/10.1002/ana.24954
        • Ferguson B.
        • Matyszak M.K.
        • Esiri M.M.
        • Perry V.H.
        Axonal damage in acute multiple sclerosis lesions.
        Brain. 1997; 120 (Pt 3): 393-399https://doi.org/10.1093/brain/120.3.393
        • Filippi M.
        • Rocca M.A.
        Classifying silent progression in relapsing-remitting MS.
        Nat. Rev. Neurol. 2019; 15: 315-316https://doi.org/10.1038/s41582-019-0199-8
        • Filippi M.
        • Rocca M.A.
        • Bastianello S.
        • Comi G.
        • Gallo P.
        • Gallucci M.
        • Ghezzi A.
        • Marrosu M.G.
        • Minonzio G.
        • Pantano P.
        • Pozzilli C
        • Tedeschi G
        • Trojano M.
        • Falini A.
        • De Stefano N.
        • Neuroimaging and MS Study Groups of the Italian Society of Neurology
        • Functional Neuroradiology Section of the Italian Association of Neuroradiology.
        Guidelines from The Italian Neurological and Neuroradiological Societies for the use of magnetic resonance imaging in daily life clinical practice of multiple sclerosis patients.
        Neurol. Sci. 2013; 34 (23828372): 2085-2093https://doi.org/10.1007/s10072-013-1485-7
        • Frederiksen J.
        • Kristensen K.
        • Bahl J.M.
        • Christiansen M.
        Tau protein: a possible prognostic factor in optic neuritis and multiple sclerosis.
        Mult. Scler. 2012; 18: 592-599https://doi.org/10.1177/1352458511424588
        • Frischer J.M.
        • Bramow S.
        • Dal-Bianco A.
        • Lucchinetti C.F.
        • Rauschka H.
        • Schmidbauer M.
        • Lassmann H.
        • Laursen H.
        • Sorensen P.S.
        The relation between inflammation and neurodegeneration in multiple sclerosis brains.
        Brain. 2009; 132 (Pt 5, 19339255): 1175-1189https://doi.org/10.1093/brain/awp070
        • Gehrmann J.
        • Banati R.B.
        • Cuzner M.L.
        • Kreutzberg G.W.
        • Newcombe J.
        Amyloid precursor protein (APP) expression in multiple sclerosis lesions.
        Glia. 1995; 15: 141-151https://doi.org/10.1002/glia.440150206
        • Gentile A.
        • Mori F.
        • Bernardini S.
        • Centonze D.
        Role of amyloid-beta CSF levels in cognitive deficit in MS.
        Clin. Chim. Acta. 2015; 449: 23-30https://doi.org/10.1016/j.cca.2015.01.035
        • Guimarães I.
        • Cardoso M.I.
        • Sá M.J.
        Tau protein seems not to be a useful routine clinical marker of axonal damage in multiple sclerosis.
        Mult. Scler. 2006; 12: 354-356https://doi.org/10.1191/1352458506ms1288sr
        • Hein Nee Maier K.
        • Kohler A.
        • Diem R.
        • Sattler M.B.
        • Demmer I.
        • Lange P.
        • Otto M.
        • Bähr M.
        Biological markers for axonal degeneration in CSF and blood of patients with the first event indicative for multiple sclerosis.
        Neurosci. Lett. 2008; 436 (18359164): 72-76https://doi.org/10.1016/j.neulet.2008.02.064
        • Inojosa H.
        • Proschmann U.
        • Akgün K.
        • Ziemssen T.
        Should we use clinical tools to identify disease progression?.
        Front. Neurol. 2020; 11628542https://doi.org/10.3389/fneur.2020.628542
        • Inojosa H.
        • Schriefer D.
        • Ziemssen T.
        Clinical outcome measures in multiple sclerosis: a review.
        Autoimmun. Rev. 2020; 19102512https://doi.org/10.1016/j.autrev.2020.102512
        • Jaworski J.
        • Psujek M.
        • Janczarek M.
        • Szczerbo-Trojanowska M.
        • Bartosik-Psujek H.
        Total-tau in cerebrospinal fluid of patients with multiple sclerosis decreases in secondary progressive stage of disease and reflects degree of brain atrophy.
        Ups. J. Med. Sci. 2012; 117: 284-292https://doi.org/10.3109/03009734.2012.669423
        • Jiménez-Jiménez F.J.
        • Zurdo J.M.
        • Hernanz A.
        • Medina-Acebrón S.
        • de Bustos F.
        • Barcenilla B.
        • Ayuso-Peralta L.
        Tau protein concentrations in cerebrospinal fluid of patients with multiple sclerosis.
        Acta Neurol. Scand. 2002; 106: 351-354https://doi.org/10.1034/j.1600-0404.2002.01370.x
        • Kapaki E.
        • Paraskevas G.P.
        • Michalopoulou M.
        • Kilidireas K.
        Increased cerebrospinal fluid tau protein in multiple sclerosis.
        Eur. Neurol. 2000; 43: 228-232https://doi.org/10.1159/000008181
        • Kappos L.
        • Wolinsky J.S.
        • Giovannoni G.
        • Arnold D.L.
        • Wang Q.
        • Bernasconi C.
        • Hauser S.L.
        Contribution of relapse-independent progression vs relapse-associated worsening to overall confirmed disability accumulation in typical relapsing multiple sclerosis in a pooled analysis of 2 randomized clinical trials.
        JAMA Neurol. 2020; 77: 1132-1140https://doi.org/10.1001/jamaneurol.2020.1568
        • Kuhle J.
        • Kropshofer H.
        • Haering D.A.
        • Kundu U.
        • Meinert R.
        • Barro C.
        • Kappos L.
        • Dahlke F.
        • Tomic D.
        • Leppert D.
        Blood neurofilament light chain as a biomarker of MS disease activity and treatment response.
        Neurology. 2019; 92 (30737333): e1007-e1015https://doi.org/10.1212/wnl.0000000000007032
        • Larochelle C.
        • Uphaus T.
        • Prat A.
        • Zipp F.
        Secondary progression in multiple sclerosis: neuronal exhaustion or distinct pathology?.
        Trends Neurosci. 2016; 39: 325-339https://doi.org/10.1016/j.tins.2016.02.001
        • Manouchehrinia A.
        • Westerlind H.
        • Kingwell E.
        • Zhu F.
        • Carruthers R.
        • Ramanujam R.
        • Hillert J.
        Age related multiple sclerosis severity score: disability ranked by age.
        Mult. Scler. 2017; 23: 1938-1946https://doi.org/10.1177/1352458517690618
        • Martinez M.A.
        • Olsson B.
        • Bau L.
        • Matas E.
        • Cobo Calvo A.
        • Andreasson U.
        • Zetterberg H.
        • Blennow K.
        • Romero-Pinel L.
        • Martínez-Yélamos S.
        Glial and neuronal markers in cerebrospinal fluid predict progression in multiple sclerosis.
        Mult. Scler. 2015; 21 (25732842): 550-561https://doi.org/10.1177/1352458514549397
        • Mirzaii-Dizgah M.H.
        • Mirzaii-Dizgah M.R.
        • Mirzaii-Dizgah I.
        Serum and saliva total tau protein as a marker for relapsing-remitting multiple sclerosis.
        Med. Hypotheses. 2020; 135109476https://doi.org/10.1016/j.mehy.2019.109476
        • Mori F.
        • Rossi S.
        • Sancesario G.
        • Codeca C.
        • Mataluni G.
        • Monteleone F.
        • Centonze D.
        Cognitive and cortical plasticity deficits correlate with altered amyloid-beta CSF levels in multiple sclerosis.
        Neuropsychopharmacology. 2011; 36: 559-568https://doi.org/10.1038/npp.2010.187
        • Novakova L.
        • Axelsson M.
        • Malmestrom C.
        • Imberg H.
        • Elias O.
        • Zetterberg H.
        • Lycke J.
        Searching for neurodegeneration in multiple sclerosis at clinical onset: diagnostic value of biomarkers.
        PLoS ONE. 2018; 13e0194828https://doi.org/10.1371/journal.pone.0194828
        • Novakova L.
        • Zetterberg H.
        • Sundström P.
        • Axelsson M.
        • Khademi M.
        • Gunnarsson M.
        • Lycke J.
        Monitoring disease activity in multiple sclerosis using serum neurofilament light protein.
        Neurology. 2017; 89: 2230-2237https://doi.org/10.1212/wnl.0000000000004683
        • Pachner A.R.
        • Steiner I.
        The multiple sclerosis severity score (MSSS) predicts disease severity over time.
        J. Neurol. Sci. 2009; 278: 66-70https://doi.org/10.1016/j.jns.2008.11.020
        • Paternicò D.
        • Galluzzi S.
        • Drago V.
        • Bocchio-Chiavetto L.
        • Zanardini R.
        • Pedrini L.
        • Frisoni G.B.
        Cerebrospinal fluid markers for Alzheimer's disease in a cognitively healthy cohort of young and old adults.
        Alzheimers Dement. 2012; 8: 520-527https://doi.org/10.1016/j.jalz.2011.10.003
        • Pietroboni A.M.
        • Schiano di Cola F.
        • Scarioni M.
        • Fenoglio C.
        • Spano B.
        • Arighi A.
        • Scarpini E.
        CSF beta-amyloid as a putative biomarker of disease progression in multiple sclerosis.
        Mult. Scler. 2017; 23: 1085-1091https://doi.org/10.1177/1352458516674566
        • Polman C.H.
        • Reingold S.C.
        • Banwell B.
        • Clanet M.
        • Cohen J.A.
        • Filippi M.
        • Wolinsky J.S.
        Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.
        Ann. Neurol. 2011; 69: 292-302https://doi.org/10.1002/ana.22366
        • Reynolds R.
        • Roncaroli F.
        • Nicholas R.
        • Radotra B.
        • Gveric D.
        • Howell O.
        The neuropathological basis of clinical progression in multiple sclerosis.
        Acta Neuropathol. 2011; 122: 155-170https://doi.org/10.1007/s00401-011-0840-0
        • Riemenschneider M.
        • Wagenpfeil S.
        • Vanderstichele H.
        • Otto M.
        • Wiltfang J.
        • Kretzschmar H.
        • Kurz A.
        Phospho-tau/total tau ratio in cerebrospinal fluid discriminates Creutzfeldt-Jakob disease from other dementias.
        Mol. Psychiatry. 2003; 8: 343-347https://doi.org/10.1038/sj.mp.4001220
        • Siller N.
        • Kuhle J.
        • Muthuraman M.
        • Barro C.
        • Uphaus T.
        • Groppa S.
        • Bittner S.
        • Kappos L.
        • Zipp F.
        Serum neurofilament light chain is a biomarker of acute and chronic neuronal damage in early multiple sclerosis.
        Mult. Scler. 2019; 25 (29542376): 678-686https://doi.org/10.1177/1352458518765666
        • Sjögren M.
        • Vanderstichele H.
        • Agren H.
        • Zachrisson O.
        • Edsbagge M.
        • Wikkelsø C.
        • Blennow K.
        Tau and Abeta42 in cerebrospinal fluid from healthy adults 21-93 years of age: establishment of reference values.
        Clin. Chem. 2001; 47: 1776-1781
        • Stampanoni Bassi M.
        • Garofalo S.
        • Marfia G.A.
        • Gilio L.
        • Simonelli I.
        • Finardi A.
        • Iezzi E.
        Amyloid-β homeostasis bridges inflammation, synaptic plasticity deficits and cognitive dysfunction in multiple sclerosis.
        Front. Mol. Neurosci. 2017; 10: 390https://doi.org/10.3389/fnmol.2017.00390
        • Terzi M.
        • Birinci A.
        • Cetinkaya E.
        • Onar M.K.
        Cerebrospinal fluid total tau protein levels in patients with multiple sclerosis.
        Acta Neurol. Scand. 2007; 115: 325-330https://doi.org/10.1111/j.1600-0404.2007.00782.x
        • Thebault S.
        • Booth R.A.
        • Freedman M.S.
        Blood neurofilament light chain: the neurologist's troponin?.
        Biomedicines. 2020; 8https://doi.org/10.3390/biomedicines8110523
        • Thompson A.J.
        • Banwell B.L.
        • Barkhof F.
        • Carroll W.M.
        • Coetzee T.
        • Comi G.
        • Cohen J.A.
        Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria.
        Lancet Neurol. 2018; 17: 162-173https://doi.org/10.1016/s1474-4422(17)30470-2
        • Vecchio D.
        • Bellomo G.
        • Serino R.
        • Virgilio E.
        • Lamonaca M.
        • Dianzani U.
        • Crespi I.
        • Cantello R.
        • Comi C.
        Intrathecal kappa free light chains as markers for multiple sclerosis.
        Sci. Rep. 2020; 10 (33230241): 20329https://doi.org/10.1038/s41598-020-77029-7
        • Vecchio D.
        • Crespi I.
        • Virgilio E.
        • Naldi P.
        • Campisi M.P.
        • Serino R.
        • Comi C.
        • Dianzani U.
        • Bellomo G.
        • Cantello R.
        Kappa free light chains could predict early disease course in multiple sclerosis.
        Mult. Scler. Relat. Disord. 2019; 30 (30738877): 81-84https://doi.org/10.1016/j.msard.2019.02.001
        • Zeydan B.
        • Lowe V.J.
        • Reichard R.R.
        • Przybelski S.A.
        • Lesnick T.G.
        • Schwarz C.G.
        • Kantarci K.
        Imaging biomarkers of Alzheimer disease in multiple sclerosis.
        Ann. Neurol. 2020; 87: 556-567https://doi.org/10.1002/ana.25684