Evidence map›Paper›PMID 39545606›Full record

ReviewNeurodegenerative disease management2024

Neurofilament light chain: a biomarker at the crossroads of clarity and confusion for gene-directed therapies.

Michael Christian A Virata, Jesus Alfonso Catahay, Giuseppe Lippi, Brandon M Henry

Abstract readReview
In one paragraph

Review in Neurodegenerative disease management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Michael Christian A VirataDepartment of Biology, College of Science, De La Salle University, Manila, 0922, Philippines.ORCID 0009-0000-6562-2263
Jesus Alfonso CatahayDepartment of Medicine, Saint Peter's University Hospital, New Brunswick, NJ 08901, USA.ORCID 0000-0002-1845-759X
Giuseppe LippiSection of Clinical Biochemistry & School of Medicine, University of Verona, Verona, 37134, Italy.ORCID 0000-0001-9523-9054
Brandon M HenryClinical Laboratory, Division of Nephrology & Hypertension, Cincinnati Children's Hospital Medical Center, OH 45229, USA.ORCID 0000-0002-8047-338X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurofilament light chain (NfL) is a promising biomarker for neurodegenerative diseases, measurable in both CSF and blood upon neuroaxonal damage. While CSF analysis was traditionally used, blood-based assays now offer a less invasive alternative. NfL levels correlate with disease severity and progression in conditions like Alzheimer's disease, amyotrophic lateral sclerosis, multiple sclerosis and Huntington's disease. Clinical trials demonstrate its utility as a pharmacodynamic biomarker in MS and ALS. The FDA's approval of Tofersen for SOD1-ALS based on NfL reduction underscores its growing acceptance as surrogate marker. However, challenges remain in standardizing assays, interpreting clinical correlations, low specificity and understanding the dynamics between CSF and blood NfL levels. Addressing these issues is crucial for maximizing NfL's potential in neurodegenerative disease management.

Indexed as

BiomarkersGenetic TherapyNeurodegenerative DiseasesNeurofilament ProteinsHumansBiomarkersneurofilament protein LNeurofilament ProteinsAlzheimer's diseaseamyotrophic lateral sclerosisgene-directed therapiesHuntington's diseasemultiple sclerosisneurodegenerative diseasesneurofilament light chain

Identifiers

PMID39545606
PMCPMC11703492

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.