Serum Glial Fibrillary Acidic Protein Compared With Neurofilament Light Chain as a Biomarker for Disease Progression in Multiple Sclerosis
Open accessAbstract
Importance: There is a lack of validated biomarkers for disability progression independent of relapse activity (PIRA) in multiple sclerosis (MS). Objective: To determine how serum glial fibrillary acidic protein (sGFAP) and serum neurofilament light chain (sNfL) correlate with features of disease progression vs acute focal inflammation in MS and how they can prognosticate disease progression. Design, Setting, and Participants: Data were acquired in the longitudinal Swiss MS cohort (SMSC; a consortium of tertiary referral hospitals) from January 1, 2012, to October 20, 2022. The SMSC is a prospective, multicenter study performed in 8 centers in Switzerland. For this nested study, participants had to meet the following inclusion criteria: cohort 1, patients with MS and either stable or worsening disability and similar baseline Expanded Disability Status Scale scores with no relapses during the entire follow-up; and cohort 2, all SMSC study patients who had initiated and continued B-cell–depleting treatment (ie, ocrelizumab or rituximab). Exposures: Patients received standard immunotherapies or were untreated. Main Outcomes and Measures: In cohort 1, sGFAP and sNfL levels were measured longitudinally using Simoa assays. Healthy control samples served as the reference. In cohort 2, sGFAP and sNfL levels were determined cross-sectionally. Results: This study included a total of 355 patients (103 [29.0%] in cohort 1: median [IQR] age, 42.1 [33.2-47.6] years; 73 female patients [70.9%]; and 252 [71.0%] in cohort 2: median [IQR] age, 44.3 [33.3-54.7] years; 156 female patients [61.9%]) and 259 healthy controls with a median [IQR] age of 44.3 [36.3-52.3] years and 177 female individuals (68.3%). sGFAP levels in controls increased as a function of age (1.5% per year; P < .001), were inversely correlated with BMI (−1.1% per BMI unit; P = .01), and were 14.9% higher in women than in men ( P = .004). In cohort 1, patients with worsening progressive MS showed 50.9% higher sGFAP levels compared with those with stable MS after additional sNfL adjustment, whereas the 25% increase of sNfL disappeared after additional sGFAP adjustment. Higher sGFAP at baseline was associated with accelerated gray matter brain volume loss (per doubling: 0.24% per year; P < .001) but not white matter loss. sGFAP levels remained unchanged during disease exacerbations vs remission phases. In cohort 2, median (IQR) sGFAP z scores were higher in patients developing future confirmed disability worsening compared with those with stable disability (1.94 [0.36-2.23] vs 0.71 [−0.13 to 1.73]; P = .002); this was not significant for sNfL. However, the combined elevation of z scores of both biomarkers resulted in a 4- to 5-fold increased risk of confirmed disability worsening (hazard ratio [HR], 4.09; 95% CI, 2.04-8.18; P < .001) and PIRA (HR, 4.71; 95% CI, 2.05-9.77; P < .001). Conclusions and Relevance: Results of this cohort study suggest that sGFAP is a prognostic biomarker for future PIRA and revealed its complementary potential next to sNfL. sGFAP may serve as a useful biomarker for disease progression in MS in individual patient management and drug development.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
GFAP elevations have been reported in frontotemporal dementia, traumatic brain injury, multiple sclerosis and inflammatory central nervous system diseases.
“For example, GFAP elevations have been reported in frontotemporal dementia39, traumatic brain injury40, multiple sclerosis41 and inflammatory central nervous system diseases42.”
From Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability (2024) · cites this paper as [41]
Cites
Defining the clinical course of multiple sclerosis: The 2013 revisions
Lublin, F. D., Reingold, S. C., Cohen, J. A., Cutter, G. R., Sørensen, P. S., Thompson, A. J., Wolinsky, J. S., Balcer, L. J., Banwell, B., Barkhof, F., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000560 · Cited by 3,177 · see citing works
Self-citationMonitoring disease activity in multiple sclerosis using serum neurofilament light protein
Novakova, L., Zetterberg, H., Sundström, P., Axelsson, M., Khademi, M., Gunnarsson, M., Malmeström, C., Svenningsson, A., Olsson, T., Piehl, F., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004683 · Cited by 426 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability
Therriault, J., Janelidze, S., Benedet, A. L., Ashton, N. J., Arranz Martínez, J., Gonzalez-Escalante, A., Bellaver, B., Alcolea, D., Vrillon, A., Karim, H., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00731-y · Cited by 112 · see citing works
Prognostic factors for multiple sclerosis symptoms in radiologically isolated syndrome
Fissolo, N., Schaedelin, S., Villar, L. M., Lünemann, J. D., Correale, J., Rejdak, K., Schwab, N., Vilaseca, A., Held, F., García-Merino, A., et al. (2025) · JAMA Neurology · doi:10.1001/jamaneurol.2025.1481 · Cited by 27 · see citing works
Self-citationBrieva, L., Calles, C., Landete, L., & Oreja-Guevara, C. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1543649 · Cited by 16 · see citing works
- Authors
- Meier, S., Willemse, E. A. J., Schaedelin, S., Oechtering, J., Lorscheider, J., Melie-Garcia, L., Cagol, A., Barakovic, M., Galbusera, R., Subramaniam, S., Barro, C., Abdelhak, A., Thebault, S., Achtnichts, L., Lalive, P., Müller, S., Pot, C., Salmen, A., Disanto, G., Zecca, C., D’Souza, M., Orleth, A., Khalil, M., Buchmann, A., Du Pasquier, R., Yaldizli, Ö., Derfuss, T., Berger, K., Hermesdorf, M., Wiendl, H., Piehl, F., Battaglini, M., Fischer, U., Kappos, L., Gobbi, C., Granziera, C., Bridel, C., Leppert, D., Maleska Maceski, A., Benkert, P., & Kuhle, J.
- Affiliations
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- University of Basel (CH)
- Harvard University (US)
- University of California, San Francisco (US)
- University of Ottawa (CA)
- Kantonsspital Aarau (CH)
- University of Geneva (CH)
- Kantonsspital St. Gallen (CH)
- Centre Hospitalier Universitaire Vaudois (CH)
- University of Bern (CH)
- Università della Svizzera italiana (CH)
- Medical University of Graz (AT)
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- University of Münster (DE)
- University Hospital Münster (DE)
- Karolinska University Hospital (SE)
- University of Siena (IT)
- ORCID
- Willemse, Eline A.J.
- Oechtering, Johanna
- Lorscheider, Johannes
- Cagol, Alessandro
- Galbusera, Riccardo
- Barro, Christian
- Abdelhak, Ahmed
- Thebault, Simon
- Lalive, Patrice
- Pot, Caroline
- Salmen, Anke
- Disanto, Giulio
- Zecca, Chiara
- D’Souza, Marcus
- Orleth, Annette
- Khalil, Michael
- Buchmann, Arabella
- Yaldizli, Özgür
- Derfuss, Tobias
- Berger, Klaus
- Hermesdorf, Marco
- Wiendl, Heinz
- Piehl, Fredrik
- Battaglini, Marco
- Fischer, Urs
- Kappos, Ludwig
- Gobbi, Claudio
- Granziera, Cristina
- Bridel, Claire
- Leppert, David
- Benkert, Pascal
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2023-03-01
- Volume
- 80
- Issue
- 3
- Pages
- 287
- ISSN
- 2168-6149 (ISSN-L)
- PMC
- PMC10011932
- OpenAlex
- W4319294374
- Cited by
- 289
- References
- 2
- Citations by year
- 2026: 93 · 2025: 89 · 2024: 80 · 2023: 26
- FWCI
- 57.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA Neurology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- BORIS (University Library Bern) (submittedVersion)
- IRIS (submittedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Biogen
- Celgene
- University of Ottawa
- University of Bern
- Ottawa Hospital Research Institute
- Università degli Studi di Siena
- International Progressive MS Alliance
- Inselspital, Universitätsspital Bern
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Karolinska Institutet
- Westfälische Wilhelms-Universität Münster
- Université de Lausanne
- Centre Hospitalier Universitaire Vaudois
- Karl-Franzens-Universität Graz
- Medizinische Universität Graz
- Faculté de Médecine, Université de Genève
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Health Sciences › Medicine › Neurology › Peripheral Neuropathies and Disorders
- Health Sciences › Medicine › Oncology › Polyomavirus and related diseases
- Keywords
- multiple sclerosis, glial fibrillary acidic protein, neurofilament light chain, serum biomarkers, disability progression, B-cell depletion therapy, ocrelizumab, rituximab, focal inflammation, disease-modifying therapy, prognostic factors, sex differences, Simoa assay, longitudinal cohort
- MeSH terms
- Adult, Female, Glial Fibrillary Acidic Protein, Humans, Intermediate Filaments, Male, Middle Aged, Multiple Sclerosis, Prospective Studies, Recurrence, Cohort Studies, Biomarkers, Neurofilament Proteins, Disease Progression
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review