Proteolysis-Based Biomarker Repertoire of the Neurofilament Proteome

IF 4.2 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Axel Petzold
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引用次数: 0

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.

Abstract Image

基于蛋白水解的神经丝蛋白组生物标志物库
神经退行性疾病是老龄化人口面临的重大挑战,往往发现得太晚,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的潜力,神经丝(Nf)蛋白作为经过验证的生物标志物出现,目前正从研究过渡到常规实验室使用。虽然大规模定量分析的进步使血液中蛋白水解Nf片段的靶向研究成为可能,但Nf蛋白水解分解的完整图景仍然未知。本研究基于已知裂解位点(x)的数量,给出了人类Nf异构体(Z)降解组的全面图谱。Nf降解组的完整尺度由公式描述:Z = ((x + 1) × (x + 2)/2)−1。所得到的神经丝降解图谱(NDA)通过三层方法使用体外数据进行验证(开放获取:https://doi.org/10.5522/04/25689378.v1)。NDA在生物标志物检测、靶向抗体开发、自身免疫探索和Nf聚集形成方面具有重要的应用价值。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,对Nf降解组的分析揭示了对神经退行性疾病的新见解。注释的NDA作为数据库资源公开可用,通过知情的肽选择和最小化无标签方法的偏差,支持基于亲和的生物标志物测试的进步。总之,这项研究强调了共存的蛋白水解Nf肽动态池的生物学意义,为其他蛋白质的研究提供了一个框架。
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来源期刊
Journal of Neurochemistry
Journal of Neurochemistry 医学-神经科学
CiteScore
9.30
自引率
2.10%
发文量
181
审稿时长
2.2 months
期刊介绍: Journal of Neurochemistry focuses on molecular, cellular and biochemical aspects of the nervous system, the pathogenesis of neurological disorders and the development of disease specific biomarkers. It is devoted to the prompt publication of original findings of the highest scientific priority and value that provide novel mechanistic insights, represent a clear advance over previous studies and have the potential to generate exciting future research.
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