Serum glial fibrillary acidic protein (sGFAP) is quickly maturing as a biomarker to predict disability in patients with multiple sclerosis (MS).
COPENHAGEN — Serum glial fibrillary acidic protein is quickly maturing as a biomarker to predict disability in patients with multiple sclerosis , but it will add information to, not compete with, serum neurofilament light chain levels, according to multiple independent studies.
In the study he presented, 744 patients from the Brigham MS Research Center database were evaluated retrospectively for sGFAP levels and subsequent disability progression. Among this cohort, for which sGFAP levels were collected at baseline and over time, 46.5% had 6-month confirmed disability progression over follow-up.
It is unclear why sGFAP is less predictive in older individuals, but Dr Madill speculated that non-MS phenomena might play a role at older ages. Treatment did not influence sGFAP levels in this study, but Dr Madill said most of the data were collected before anti-CD20 monoclonal antibodies were widely available.
Increases in sNFl were associated with an increased risk of both PIRA and relapse-associated worsening , but sNFl was more closely associated with RAW in untreated patients. The risk of PIRA and RAW were similar across GFAP and sNFl levels in those patients treated with high-efficacy disease-modifying therapies .
However, in this study, unlike the analysis of the Brigham MS Research Center data, changes in sGFAP over time when on treatment did have prognostic value, and there was a relationship between sGFAP levels and treatment. Although reductions in GFAP predicted less disability progression whether patients were treated with fingolimod B-cell depleting therapies, that patterns were different.
Multiple Sclerosis MS - Multiple Sclerosis Disability Biomarker Biological Marker Multi-Biomarker Disease Activity MBDA Multibiomarker Disease Activity Biologic Therapy Biologics Healthcare And Medical Technology Health And Medical Tech Health And Med Tech Health And Medical Technology Healthcare Technology Medical Technology Clinical Research Clinical Trials
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