Glial fibrillary acidic protein: a potential biomarker for progression in multiple sclerosis.
Journal article, 2011

The major intermediate cytoskeletal protein of astrocytes, glial fibrillary acidic protein (GFAP), and that of axons, neurofilament light protein (NFL), may both be released into the cerebrospinal fluid (CSF) during pathological processes in the central nervous system (CNS). We investigated GFAP and NFL levels in CSF as possible biomarkers for progression in multiple sclerosis (MS). Patients with relapsing-remitting MS (RRMS, n = 15) or secondary progressive MS (SPMS, n = 10) and healthy control subjects (n = 28) were examined twice with an interval of 8-10 years apart. Neurological deficits were scored with the Expanded Disability Status Scale (EDSS). GFAP and NFL levels were determined in CSF by enzyme-linked immunosorbent assay (ELISA). GFAP levels and NFL levels correlated with age (r and r (s) = 0.50, p = 0.006). Adjusting for age, MS patients had increased GFAP levels compared with controls (p = 0.03) and GFAP levels correlated with neurological disability (EDSS, r = 0.51, p < 0.05) and disease progression [Multiple Sclerosis Severity Score (MSSS), r = 0.47, p < 0.05]. The mean annual increase of GFAP was 6.5 ng/L for controls, 8.1 ng/L for RRMS patients, and 18.9 ng/L for SPMS patients. GFAP level at the first examination had predictive value for neurological disability 8-10 years later (EDSS, r = 0.45, p < 0.05) but not for EDSS increase between the examinations. NFL levels were not significantly increased in MS patients compared with controls and had no relationship to disability or progression and no prognostic value for disability development. GFAP, a marker for astrogliosis, is a potential biomarker for MS progression and may have a role in clinical trials for assessing the impact of therapies on MS progression.

Author

Markus Axelsson

University of Gothenburg

Clas Malmeström

University of Gothenburg

Staffan Nilsson

Chalmers, Mathematical Sciences, Mathematical Statistics

University of Gothenburg

Sara Haghighi

University of Gothenburg

Lars Rosengren

University of Gothenburg

Jan Lycke

University of Gothenburg

Journal of neurology

1432-1459 (eISSN)

Vol. 258 5 882-8

Subject Categories

Mathematics

MEDICAL AND HEALTH SCIENCES

DOI

10.1007/s00415-010-5863-2

PubMed

21197541

More information

Created

10/6/2017