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基于蛋白水解作用的神经丝蛋白质组生物标志物全集

Proteolysis-Based Biomarker Repertoire of the Neurofilament Proteome.

作者信息

Petzold Axel

机构信息

Queen Square Institute of Neurology, UCL and The National Hospital for Neurology and Neurosurgery, London, UK.

出版信息

J Neurochem. 2025 Mar;169(3):e70023. doi: 10.1111/jnc.70023.

DOI:10.1111/jnc.70023
PMID:40066701
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11894590/
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.

摘要

神经退行性变在老龄化人群中是一个重大挑战,往往在发现时已为时过晚,无法进行有效干预。生物标志物在解决这一问题方面显示出巨大潜力,神经丝(Nf)蛋白作为已得到验证的生物标志物,目前正从研究阶段过渡到常规实验室应用。虽然大规模定量分析的进展使得对血液中蛋白水解性Nf片段的靶向研究成为可能,但Nf蛋白水解降解的全貌仍不清楚。本研究基于已知切割位点(x)的数量,呈现了人类Nf异构体(Z)降解组的综合图谱。Nf降解组的全貌由公式描述:Z = ((x + 1) × (x + 2)/2) - 1。通过使用体外数据的三层方法验证了所得的神经丝降解组图谱(NDA)(开放获取网址:https://doi.org/10.5522/04/25689378.v1)。NDA在生物标志物检测、靶向抗体开发、自身免疫探索以及理解Nf聚集体形成方面具有重要应用价值。对Nf降解组的分析通过研究受Nf基因组基因突变和蛋白水解途径改变影响的肽库,揭示了神经退行性疾病的新见解。带注释的NDA作为数据库资源公开可用,通过明智的肽选择支持基于亲和力的生物标志物检测的进展,并最大限度地减少无标记方法中的偏差。总之,本研究突出了共存的蛋白水解性Nf肽动态库的生物学意义,提供了一个可应用于其他蛋白质的框架。

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本文引用的文献

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Dissecting neurofilament tail sequence-phosphorylation-structure relationships with multicomponent reconstituted protein brushes.用多组分重组蛋白刷解析神经丝尾部序列-磷酸化-结构关系。
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