Cerebrospinal fluid neurofilament light chain levels predict visual outcome after optic neuritis.
Mult Scler
; 22(5): 590-8, 2016 Apr.
Article
in En
| MEDLINE
| ID: mdl-26283696
BACKGROUND: Optic neuritis is a good model for multiple sclerosis relapse, but currently no tests can accurately predict visual outcome. OBJECTIVE: The purpose of this study was to examine whether cerebrospinal fluid (CSF) biomarkers of tissue damage and remodelling (neurofilament light chain (NF-L), myelin basic protein, osteopontin and chitinase-3-like-1) predict visual outcome after optic neuritis. METHODS: We included 47 patients with optic neuritis as a first demyelinating episode. Patients underwent visual tests, optical coherence tomography (OCT), magnetic resonance imaging (MRI) and lumbar puncture. Biomarkers were measured in CSF by enzyme-linked immunosorbent assay (ELISA). Patients were followed up six months after onset and this included visual tests and OCT. Outcome measures were inter-ocular differences in low contrast visual acuity (LCVA), retinal nerve fibre layer (RNFL) and ganglion cell layer+inner plexiform layer (GC-IPL) thicknesses. RESULTS: CSF NF-L levels at onset predicted inter-ocular differences in follow-up LCVA (ß=13.8, p=0.0008), RNFL (ß=5.6, p=0.0004) and GC-IPL (ß=4.0, p=0.0008). The acute-phase GC-IPL thickness also predicted follow-up LCVA (ß=12.9, p=0.0021 for NF-L, ß=-1.1, p=0.0150 for GC-IPL). Complete/incomplete remission was determined based on LCVA from 30 healthy controls. NF-L had a positive predictive value of 91% and an area under the curve (AUC) of 0.79 for incomplete remission. CONCLUSION: CSF NF-L is a promising biomarker of visual outcome after optic neuritis. This could aid neuroprotective/regenerative medical advancements.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Retina
/
Intermediate Filaments
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Optic Neuritis
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Multiple Sclerosis
/
Nerve Fibers
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
/
Female
/
Humans
/
Male
/
Middle aged
Language:
En
Journal:
Mult Scler
Journal subject:
NEUROLOGIA
Year:
2016
Document type:
Article
Affiliation country:
Denmark
Country of publication:
United kingdom