脑脊液中亨廷顿蛋白检测的挑战和进展:支持相对量化。

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Rachel J Harding, Yuanyun Xie, Nicholas S Caron, Hailey Findlay-Black, Caroline Lyu, Nalini Potluri, Renu Chandrasekaran, Michael R Hayden, Blair R Leavitt, Douglas R Langbehn, Amber L Southwell
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引用次数: 0

摘要

亨廷顿病(HD)是一种进行性和破坏性的神经退行性疾病,其原因是亨廷顿蛋白(HTT)基因中谷氨酰胺编码CAG通道的扩增超过35个重复的临界阈值,导致突变HTT (mHTT)的表达。在临床试验中测试的一种很有希望的治疗方法是降低mHTT,其目的是降低mHTT蛋白的水平。通过测量脑脊液(CSF)中mHTT水平的基于抗体的测定来推断这些治疗在大脑中的靶作用。这些水平通常报告为mHTT浓度的绝对浓度,由使用单一蛋白质标准物生成的标准曲线得出。然而,患者的生物体液是一个包含不同mHTT蛋白种类的复杂环境,这表明绝对定量是具有挑战性的。因此,单一重组蛋白标准物可能不足以解释测定信号为摩尔mHTT浓度。在本研究中,我们采用免疫沉淀和流式细胞术(IP-FCM)来研究影响mHTT检测分析信号的不同因素。我们的研究结果表明,HTT蛋白片段化、蛋白相互作用、亲和标签定位、寡聚化和聚谷氨酰胺束长度影响检测信号强度。这些发现表明,目前使用单一标准蛋白的技术不可能对异质生物样品进行绝对的HTT定量。我们还探索了MW1抗聚谷氨酰胺抗体的结合特异性,该抗体通常用于这些检测中作为mHTT选择性试剂,并证明mHTT结合是首选的,但不是特异性的。此外,我们发现用于野生型HTT定量的mHTT的MW1耗尽不仅不完整,留下残留的mHTT,而且是非特异性的,导致一些野生型HTT蛋白被拉低。基于这些观察结果,我们建议在正在进行的临床和临床前研究中,在评估中枢神经系统HTT降低时,mHTT检测分析仅报告使用归一化任意检测信号强度单位的相对mHTT定量,而不是摩尔浓度。此外,我们建议不要使用mw1耗尽法作为野生型HTT蛋白的定量方法,并且在测试过程中始终将洗涤剂添加到样品中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges and advances for huntingtin detection in cerebrospinal fluid: in support of relative quantification.

Huntington disease (HD) is a progressive and devastating neurodegenerative disease caused by expansion of a glutamine-coding CAG tract in the huntingtin (HTT) gene above a critical threshold of ~ 35 repeats resulting in expression of mutant HTT (mHTT). A promising treatment approach being tested in clinical trials is HTT lowering, which aims to reduce levels of the mHTT protein. Target engagement of these therapies in the brain are inferred using antibody-based assays that measure mHTT levels in the cerebrospinal fluid (CSF). These levels are typically reported as the absolute concentration of mHTT concentration, derived from a standard curve generated using a single protein standard. However, patient biofluids are a complex milieu containing different mHTT protein species, suggesting that absolute quantitation is challenging. As a result, a single recombinant protein standard may not be sufficient to interpret assay signal as molar mHTT concentration. In this study, we used immunoprecipitation and flow cytometry (IP-FCM) to investigate different factors that influence mHTT detection assay signal. Our results show that HTT protein fragmentation, protein-protein interactions, affinity tag positioning, oligomerization and polyglutamine tract length affect assay signal intensity. These findings indicate that absolute HTT quantitation in heterogeneous biological samples is not possible with current technologies using a single standard protein. We also explore the binding specificity of the MW1 anti-polyglutamine antibody, commonly used in these assays as a mHTT-selective reagent and demonstrate that mHTT binding is preferred but not specific. Furthermore, we find that MW1 depletion of mHTT for quantitation of wildtype HTT is not only incomplete, leaving residual mHTT, but also non-specific, resulting in pull down of some wildtype HTT protein. Based on these observations, we recommend that mHTT detection assays report only relative mHTT quantitation using normalized arbitrary units of assay signal intensity, rather than molar concentrations, in the assessment of central nervous system HTT lowering in ongoing clinical and preclinical studies. Further, we recommend that MW1-depletion not be used as a method for quantifying wildtype HTT protein and that detergent be consistently added to samples during testing.

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来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
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