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Blood biomarkers for predicting disability worsening in progressive multiple sclerosis: A multinational, individual participant-level analysis

  • Ahmed Abdelhak*
  • , Franziska Bachhuber
  • , Kiarra Ning
  • , Pascal Benkert
  • , W. John Boscardin
  • , Aleksandra Maleska MacEski
  • , Sabine Schaedelin
  • , Lutz Achtnichts
  • , Sebastian Finkener
  • , Patrice H. Lalive
  • , Marjolaine Uginet
  • , Caroline Pot
  • , Renaud du Pasquier
  • , Robert Hoepner
  • , Andrew Chan
  • , Claudio Gobbi
  • , Chiara Zecca
  • , Stefanie Müller
  • , Patrick Roth
  • , Cristina Granziera
  • Tanuja Chitnis, Evan Madill, Howard L. Weiner, Ari J. Green, Stephen L. Hauser, Bruce A. C. Cree, Tania Kümpfel, Joachim Havla, Thomas Skripuletz, Stefan Gingele, Makbule Senel, Ioannis Vardakas, Daniela Taranu, Ulf Ziemann, Markus C. Kowarik, Ingo Kleiter, Muna-Miriam Hoshi, Uwe K. Zettl, Axel Haarmann, Simon Thebault, Mark S. Freedman, Hailey P. Bergman, Ellen Iacobaeus, Mohsen Khademi, Diana Ferraro, Martina Cardi, Sara Mariotto, Manuel Comabella, Xavier Montalban, Andreu Vilaseca-Jolonch, Eva M. Strijbis, Mark Hj Wessels, Joep Killestein, Bernhard Hemmer, Friederike Held, Finn Sellebjerg, Helene Højsgaard Chow, Roberto Alvarez-Lafuente, Maria Inmaculada Domínguez-Mozo, Harald Hegen, Klaus Berek, Florian Deisenhammer, Eric Thouvenot, Hanane Agherbi, Konrad Rejdak, Magda Gąsior, Dimitrios Tzanetakos, John S. Tzartos, Maria Pia Sormani, Irena Dujmovic Basuroski, Georgina Arrambide, Michael Khalil, Fredrik Piehl, Charlotte E. Teunissen, Jens Kuhle, Hayrettin Tumani
*Corresponding author for this work
  • University of California at San Francisco
  • Ulm University
  • University of Basel
  • Cantonal Hospital Aarau
  • Division of Neurology
  • University of Lausanne
  • University of Bern
  • Ente Ospedaliero Cantonale
  • Università della Svizzera italiana
  • Cantonal Hospital St. Gallen
  • University of Zurich
  • Massachusetts General Hospital
  • Brigham and Women’s Hospital
  • Ludwig Maximilian University of Munich
  • Hannover Medical School
  • University of Tübingen
  • Ruhr University Bochum
  • Behandlungszentrum Kempfenhausen für Multiple Sklerose Kranke gemeinnützige GmbH
  • University of Rostock
  • University of Würzburg
  • McGill University
  • University of Ottawa
  • Karolinska Institutet
  • University of Modena and Reggio Emilia
  • University of Verona
  • Vall d'Hebron Research Institute
  • Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas
  • Amsterdam UMC - University of Amsterdam
  • Technical University of Munich
  • Munich Cluster for Systems Neurology (SyNergy)
  • University of Copenhagen
  • Hospital Clínico San Carlos de Madrid
  • Innsbruck Medical University
  • CHU de Nîmes
  • Medical University of Lublin
  • National and Kapodistrian University of Athens
  • Tzartos NeuroDiagnostics
  • University of Genoa
  • University of North Carolina at Chapel Hill
  • Medical University of Graz

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Background and objectives: Biologically informative markers like glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) may help predict confirmed disability worsening (CDW) in multiple sclerosis (MS). However, data on the prognostic value of their blood concentrations in progressive MS (PMS) are limited, and there are substantial discrepancies in the published literature. This international collaboration uses individual participant data to define the prognostic value of serum GFAP and NfL in people with PMS (pwPMS). Methods: Data were collected from BioMS-eu network centres and collaborating cohorts. pwPMS with primary progressive MS (PPMS) or secondary progressive MS (SPMS) with at least one GFAP value and at least three follow-up expanded disability status scale (EDSS) scores were included. The prognostic value of serum GFAP and NfL age- and sex-adjusted Z-scores for future CDW was evaluated using Cox regression models, accounting for sex, age, baseline disease duration and EDSS, and dominant treatment during follow-up. Results: 1058 participants and 7530 encounters were included (median age 53 years (IQR: 44 to 59), 57% female, follow-up 4.6 years (2.9 to 8.4)) with median baseline GFAP of 0.74 (-0.10 to 1.55) and NfL of 0.64 (-0.36 to 1.51). 723 CDW events were recorded. Each GFAP Z-score increase was associated with ∼10% higher CDW risk (adjusted HR (aHR) 1.107 (1.001 to 1.225), p=0.049). Results were mainly driven by SPMS participants (n=613, aHR 1.242 (1.073 to 1.438), p=0.004). Higher NfL Z-scores predicted CDW only in PPMS participants (1.236 (1.092 to 1.399), p=0.001). Conclusions: GFAP was a prognostic indicator for future CDW in pwPMS, especially in pwSPMS. On the other hand, NfL was predictive of CDW only in pwPPMS.
Original languageEnglish
Article numberjnnp-2025-335831
Pages (from-to)1046-1052
Number of pages7
JournalJ. Neurol. Neurosurg. Psychiatry
Volume96
Issue number11
Early online date2025
DOIs
Publication statusPublished - 1 Nov 2025

Keywords

  • MULTIPLE SCLEROSIS
  • Prognosis

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