Multiple sclerosis (Houndmills, Basingstoke, England)
September 28, 2026 · via Europe PMC
Serum NfL predicts visual recovery and neuronal loss after optic neuritis.
Dalla Costa G, Pisa M, Furlan R, Comi G, Leocani L.
AI summary — for doctors, generated from the abstract only
Higher baseline serum NfL predicted greater retinal neuronal loss and worse low-contrast vision after first-episode optic neuritis.
What was studied
A cohort of 51 patients with first-episode optic neuritis followed 24 months with low-contrast acuity and OCT.
Key findings
- Higher NfL predicted greater inter-eye RNFL (-4.65 um per SD) and GCIPL (-1.39 um) differences
- Associated with worse 2.5% low-contrast acuity (p=0.05) but not high-contrast acuity
Clinical relevance
May help stratify optic neuritis severity for neuroprotection trials; small cohort.
Who should care
Limitations
Small sample.
Serum NfL may predict outcomes after optic neuritis.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Optic neuritis, a common manifestation of multiple sclerosis, involves acute axonal injury and variable visual recovery. We evaluated whether serum neurofilament light chain predicts visual and structural outcomes after first-episode optic neuritis. Fifty-one patients (mean age = 33 years, 71% women) were followed for 24 ± 6 months with low-contrast letter acuity testing and optical coherence tomography. Adjusting for age and sex, higher baseline serum neurofilament light chain predicted greater inter-eye differences in retinal nerve fibre layer (-4.65 µm per SD, p = 0.02), ganglion cell/inner plexiform layer (-1.39 µm, p = 0.02) and 2.5% low-contrast letter acuity (-0.73, p = 0.05), but not high-contrast acuity. Early serum neurofilament light chain may stratify optic neuritis severity and guide neuroprotective trial selection.
DOI
10.1177/13524585261489992
PMID
42803270
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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