Gene-variant specific effects of plasma amyloid-β levels in Swedish autosomal dominant Alzheimer disease.

IF 7.9 1区 医学 Q1 CLINICAL NEUROLOGY
Charlotte Johansson, Steinunn Thordardottir, José Laffita-Mesa, Josef Pannee, Elena Rodriguez-Vieitez, Henrik Zetterberg, Kaj Blennow, Caroline Graff
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引用次数: 0

Abstract

Background: Several blood-based biomarkers offer the opportunity of in vivo detection of brain pathology and neurodegeneration in Alzheimer disease with high specificity and sensitivity, but the performance of amyloid-β (Aβ) measurements remains under evaluation. Autosomal dominant Alzheimer disease (ADAD) with mutations in PSEN1, PSEN2 and APP can be studied as a model for sporadic Alzheimer disease. However, clarifying the genetic effects on the Aβ-levels in different matrices such as cerebrospinal fluid or plasma is crucial for generalizability and utility of data. We aimed to explore plasma Aβ concentrations over the Alzheimer disease continuum in a longitudinal cohort of genetic Alzheimer disease.

Methods: 92 plasma samples were collected from at-risk individuals (n = 47) in a Swedish cohort of ADAD, including 18 mutation carriers (13 APPswe (p.KM670/671NL) MC), 5 PSEN1 (p.H163Y) MC) and 29 non-carriers (NC) as the reference group. Concentrations of Aβ1-38, Aβ1-40 and Aβ1-42 were analyzed in plasma using immunoprecipitation coupled to tandem liquid chromatography mass spectrometry (IP-LC-MS/MS). Cross-sectional and repeated-measures data analyses were investigated family-wise, applying non-parametric tests as well as mixed-effects models.

Results: Cross-sectional analysis at baseline showed more than a 3-fold increase in all plasma Aβ peptides in APPswe MC, regardless of clinical status, compared to controls (p < 0.01). PSEN1 (p.H163Y) presymptomatic MC had a decrease of plasma Aβ1-38 compared to controls (p < 0.05). There was no difference in Aβ1-42/1-40 ratio between APPswe MC (PMC and SMC), PSEN1 MC (PMC) and controls at baseline. Notably, both cross-sectional data and repeated-measures analysis suggested that APPswe MC have a stable Aβ1-42/1-40 ratio with increasing age, in contrast to the decrease seen with aging in both controls and PSEN1 (p.H163Y) MC.

Conclusion: These data show very strong mutation-specific effects on Aβ profiles in blood, most likely due to a ubiquitous production outside of the CNS. Hence, analyses in an unselected clinical setting might unintentionally disclose genetic status. Furthermore, our findings suggest that the Aβ ratio might be a poor indicator of brain Aβ pathology in selected genetic cases. The very small sample size is a limitation that needs to be considered but reflects the scarcity of longitudinal in vivo data from genetic cohorts.

瑞典常染色体显性阿尔茨海默病血浆淀粉样蛋白-β水平的基因变异特异性影响。
背景:有几种基于血液的生物标记物能以高特异性和高灵敏度在体内检测阿尔茨海默病的脑部病理和神经变性,但淀粉样蛋白-β(Aβ)的测定结果仍在评估中。PSEN1、PSEN2 和 APP 发生突变的常染色体显性阿尔茨海默病(ADAD)可作为散发性阿尔茨海默病的模型进行研究。然而,明确基因对不同基质(如脑脊液或血浆)中 Aβ 水平的影响对于数据的普遍性和实用性至关重要。我们的目的是在一个遗传性阿尔茨海默病纵向队列中探索阿尔茨海默病持续过程中的血浆Aβ浓度。方法:我们从瑞典的一个ADAD队列中的高危个体(n = 47)采集了92份血浆样本,其中包括18个突变携带者(13个APPswe(p.KM670/671NL)MC)、5个PSEN1(p.H163Y)MC)和29个非携带者(NC)作为参照组。使用免疫沉淀耦合串联液相色谱质谱法(IP-LC-MS/MS)分析了血浆中 Aβ1-38、Aβ1-40 和 Aβ1-42 的浓度。采用非参数检验和混合效应模型对横断面和重复测量数据进行了家族分析:结果:基线横断面分析表明,与对照组相比,APPswe MC血浆中的所有Aβ肽均增加了3倍以上,与临床状态无关(p 结论:这些数据表明,APPswe MC的突变具有非常强的特异性:这些数据表明,基因突变对血液中的 Aβ 特征有很强的特异性影响,这很可能是由于 Aβ 在中枢神经系统外普遍存在。因此,在未经选择的临床环境中进行分析可能会无意中暴露遗传状态。此外,我们的研究结果表明,在选定的遗传病例中,Aβ比值可能是脑Aβ病理学的不良指标。样本量非常小是一个需要考虑的局限性,但也反映了遗传队列纵向体内数据的稀缺性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Alzheimer's Research & Therapy
Alzheimer's Research & Therapy 医学-神经病学
CiteScore
13.10
自引率
3.30%
发文量
172
审稿时长
>12 weeks
期刊介绍: Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.
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