Evidence map›Paper›PMID 40066701›Full record

ArticleJournal of neurochemistry2025

Proteolysis-Based Biomarker Repertoire of the Neurofilament Proteome.

Axel Petzold

Abstract read
In one paragraph

Article in Journal of neurochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Axel PetzoldQueen Square Institute of Neurology, UCL and The National Hospital for Neurology and Neurosurgery, London, UK.ORCID 0000-0002-0344-9749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegeneration presents a significant challenge in ageing populations, often being detected too late for effective intervention. Biomarkers have shown great potential in addressing this issue, with neurofilament (Nf) proteins emerging as validated biomarkers presently transitioning from research to routine laboratory use. Whilst advances in large-scale quantitative analyses have enabled the targeted study of proteolytic Nf fragments in blood, the complete landscape of the Nf proteolytic breakdown remains unknown. This study presents a comprehensive atlas of the human Nf isoform (Z) degradome, based on the number of known cleavage sites (x). The full scale of the Nf degradome is described by the formula: Z = ((x + 1) × (x + 2)/2) - 1. The resulting neurofilament degradome atlas (NDA) was validated through a triple-layer approach using in vitro data (open access at: https://doi.org/10.5522/04/25689378.v1). The NDA offers valuable applications in biomarker detection, targeted antibody development, exploration of autoimmunity and understanding Nf aggregate formation. Analysis of the Nf degradome reveals novel insights into neurodegenerative diseases by investigating peptide pools affected by genetic mutations in the Nf genome and alterations in proteolytic pathways. The annotated NDA is publicly available as a database resource, supporting advancements in affinity-based biomarker tests through informed peptide selection and minimising biases in label-free approaches. In conclusion, this study highlights the biological significance of a dynamic pool of coexisting proteolytic Nf peptides, providing a framework that can be applied to other proteins.

Indexed as

Intermediate FilamentsNeurofilament ProteinsProteolysisProteomeBiomarkersHumansNeurodegenerative DiseasesBiomarkersNeurofilament ProteinsProteomeAlzheimer diseaseBoman indexCharcot‐MarieTooth diseasedementianeurodegenerative diseaseneurofilament biomarker

Identifiers

PMID40066701
PMCPMC11894590

What Socratic holds

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LicenceCC BY
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 Socratic graph.