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γ-分泌酶活性、临床特征和常染色体显性阿尔茨海默病的生物标志物:显性遗传性阿尔茨海默病网络观察研究(DIAN-OBS)的横断面和纵向分析。

γ-Secretase activity, clinical features, and biomarkers of autosomal dominant Alzheimer's disease: cross-sectional and longitudinal analysis of the Dominantly Inherited Alzheimer Network observational study (DIAN-OBS).

机构信息

Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Medical School, Harvard University, Boston, MA, USA.

Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Boston, MA, USA.

出版信息

Lancet Neurol. 2024 Sep;23(9):913-924. doi: 10.1016/S1474-4422(24)00236-9. Epub 2024 Jul 26.

DOI:10.1016/S1474-4422(24)00236-9
PMID:39074479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11822357/
Abstract

BACKGROUND

Genetic variants that cause autosomal dominant Alzheimer's disease are highly penetrant but vary substantially regarding age at symptom onset (AAO), rates of cognitive decline, and biomarker changes. Most pathogenic variants that cause autosomal dominant Alzheimer's disease are in presenilin 1 (PSEN1), which encodes the catalytic core of γ-secretase, an enzyme complex that is crucial in production of amyloid β. We aimed to investigate whether the heterogeneity in AAO and biomarker trajectories in carriers of PSEN1 pathogenic variants could be predicted on the basis of the effects of individual PSEN1 variants on γ-secretase activity and amyloid β production.

METHODS

For this cross-sectional and longitudinal analysis, we used data from participants enrolled in the Dominantly Inherited Alzheimer Network observational study (DIAN-OBS) via the DIAN-OBS data freeze version 15 (data collected between Feb 29, 2008, and June 30, 2020). The data freeze included data from 20 study sites in research institutions, universities, hospitals, and clinics across Europe, North and South America, Asia, and Oceania. We included individuals with PSEN1 pathogenic variants for whom relevant genetic, clinical, imaging, and CSF data were available. PSEN1 pathogenic variants were characterised via genetically modified PSEN1 and PSEN2 double-knockout human embryonic kidney 293T cells and immunoassays for Aβ37, Aβ38, Aβ40, Aβ42, and Aβ43. A summary measure of γ-secretase activity (γ-secretase composite [GSC]) was calculated for each variant and compared with clinical history-derived AAO using correlation analyses. We used linear mixed-effect models to assess associations between GSC scores and multimodal-biomarker and clinical data from DIAN-OBS. We used separate models to assess associations with Clinical Dementia Rating Sum of Boxes (CDR-SB), Mini-Mental State Examination (MMSE), and Wechsler Memory Scale-Revised (WMS-R) Logical Memory Delayed Recall, [C]Pittsburgh compound B (PiB)-PET and brain glucose metabolism using [F] fluorodeoxyglucose (FDG)-PET, CSF Aβ42-to-Aβ40 ratio (Aβ42/40), CSF log (phosphorylated tau 181), CSF log (phosphorylated tau 217), and MRI-based hippocampal volume.

FINDINGS

Data were included from 190 people carrying PSEN1 pathogenic variants, among whom median age was 39·0 years (IQR 32·0 to 48·0) and AAO was 44·5 years (40·6 to 51·4). 109 (57%) of 190 carriers were female and 81 (43%) were male. Lower GSC values (ie, lower γ-secretase activity than wild-type PSEN1) were associated with earlier AAO (r=0·58; p<0·0001). GSC was associated with MMSE (β=0·08, SE 0·03; p=0·0043), CDR-SB (-0·05, 0·02; p=0·0027), and WMS-R Logical Memory Delayed Recall scores (0·09, 0·02; p=0·0006). Lower GSC values were associated with faster increase in PiB-PET signal (p=0·0054), more rapid decreases in hippocampal volume (4·19, 0·77; p<0·0001), MMSE (0·02, 0·01; p=0·0020), and WMS-R Logical Memory Delayed Recall (0·004, 0·001; p=0·0003).

INTERPRETATION

Our findings suggest that clinical heterogeneity in people with autosomal dominant Alzheimer's disease can be at least partly explained by different effects of PSEN1 variants on γ-secretase activity and amyloid β production. They support targeting γ-secretase as a therapeutic approach and suggest that cell-based models could be used to improve prediction of symptom onset.

FUNDING

US National Institute on Aging, Alzheimer's Association, German Center for Neurodegenerative Diseases, Raul Carrea Institute for Neurological Research, Japan Agency for Medical Research and Development, Korea Health Industry Development Institute, South Korean Ministry of Health and Welfare, South Korean Ministry of Science and ICT, and Spanish Institute of Health Carlos III.

摘要

背景

导致常染色体显性阿尔茨海默病的遗传变异具有高度外显性,但在症状出现年龄(AAO)、认知下降速度和生物标志物变化方面存在很大差异。导致常染色体显性阿尔茨海默病的大多数致病性变异都在早老素 1(PSEN1)中,PSEN1 编码 γ-分泌酶的催化核心,该酶复合物在淀粉样β的产生中至关重要。我们旨在研究个体 PSEN1 变异对 γ-分泌酶活性和淀粉样β产生的影响是否可以预测 PSEN1 致病性变异携带者的 AAO 和生物标志物轨迹的异质性。

方法

这项横断面和纵向分析使用了通过 DIAN-OBS 数据冻结版本 15(收集于 2008 年 2 月 29 日至 2020 年 6 月 30 日)从参与显性遗传性阿尔茨海默病网络观察性研究(DIAN-OBS)的参与者中获得的数据。数据冻结包括来自欧洲、北美和南美、亚洲和大洋洲的研究机构、大学、医院和诊所的 20 个研究地点的数据。我们纳入了具有 PSEN1 致病性变异的个体,这些个体具有相关的遗传、临床、影像学和 CSF 数据。通过基因修饰的 PSEN1 和 PSEN2 双敲除人胚肾 293T 细胞和 Aβ37、Aβ38、Aβ40、Aβ42 和 Aβ43 的免疫测定来表征 PSEN1 致病性变异。为每个变异计算了 γ-分泌酶活性的综合指标(γ-分泌酶复合 [GSC]),并使用相关分析将其与临床历史衍生的 AAO 进行比较。我们使用线性混合效应模型评估 GSC 评分与 DIAN-OBS 的多模态生物标志物和临床数据之间的关联。我们使用单独的模型评估与临床痴呆评定量表总和评分(CDR-SB)、简易精神状态检查(MMSE)和韦氏记忆量表修订版(WMS-R)逻辑记忆延迟回忆、[C]匹兹堡化合物 B(PiB)-正电子发射断层扫描(PET)和脑葡萄糖代谢的 [F]氟脱氧葡萄糖(FDG)-正电子发射断层扫描、CSF Aβ42/40 比值、CSF 对数(磷酸化 tau181)、CSF 对数(磷酸化 tau217)和基于 MRI 的海马体积之间的关联。

结果

纳入了 190 名携带 PSEN1 致病性变异的人,其中中位年龄为 39.0 岁(IQR 32.0 至 48.0),AAO 为 44.5 岁(40.6 至 51.4)。190 名携带者中,109 名(57%)为女性,81 名(43%)为男性。较低的 GSC 值(即比野生型 PSEN1 更低的 γ-分泌酶活性)与较早的 AAO 相关(r=0.58;p<0.0001)。GSC 与 MMSE(β=0.08,SE 0.03;p=0.0043)、CDR-SB(-0.05,0.02;p=0.0027)和 WMS-R 逻辑记忆延迟回忆评分(0.09,0.02;p=0.0006)相关。较低的 GSC 值与 PiB-PET 信号的更快增加相关(p=0.0054),与海马体积的更快减少相关(4.19,0.77;p<0.0001)、与 MMSE(0.02,0.01;p=0.0020)和 WMS-R 逻辑记忆延迟回忆(0.004,0.001;p=0.0003)相关。

解释

我们的研究结果表明,常染色体显性阿尔茨海默病患者的临床异质性至少可以部分解释为 PSEN1 变异对 γ-分泌酶活性和淀粉样β产生的不同影响。它们支持将 γ-分泌酶作为一种治疗方法,并表明细胞模型可以用于改善症状发作的预测。

资金

美国国家老龄化研究所、阿尔茨海默病协会、德国神经退行性疾病中心、Raul Carrea 神经病学研究所、日本医学研究与发展署、韩国健康产业发展研究所、韩国卫生和福利部、韩国科学和信息通信技术部和西班牙卡洛斯三世卫生研究所。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a16/11822357/5ed46454abe9/nihms-2015920-f0004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a16/11822357/5ed46454abe9/nihms-2015920-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a16/11822357/5076360ed4b1/nihms-2015920-f0001.jpg
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