Sanders-Brown Center on Aging, University of Kentucky College of Medicine, Lexington, Kentucky, USA.
Department of Epidemiology, Harvard T.H Chan School of Public Health and Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA.
Alzheimers Dement. 2021 Apr;17(4):704-715. doi: 10.1002/alz.12215. Epub 2021 Jan 21.
The concept of vascular contributions to cognitive impairment and dementia (VCID) derives from more than two decades of research indicating that (1) most older individuals with cognitive impairment have post mortem evidence of multiple contributing pathologies and (2) along with the preeminent role of Alzheimer's disease (AD) pathology, cerebrovascular disease accounts for a substantial proportion of this contribution. Contributing cerebrovascular processes include both overt strokes caused by etiologies such as large vessel occlusion, cardioembolism, and embolic infarcts of unknown source, and frequently asymptomatic brain injuries caused by diseases of the small cerebral vessels. Cerebral small vessel diseases such as arteriolosclerosis and cerebral amyloid angiopathy, when present at moderate or greater pathologic severity, are independently associated with worse cognitive performance and greater likelihood of dementia, particularly in combination with AD and other neurodegenerative pathologies. Based on this evidence, the US National Alzheimer's Project Act explicitly authorized accelerated research in vascular and mixed dementia along with frontotemporal and Lewy body dementia and AD itself. Biomarker development has been consistently identified as a key step toward translating scientific advances in VCID into effective prevention and treatment strategies. Validated biomarkers can serve a range of purposes in trials of candidate interventions, including (1) identifying individuals at increased VCID risk, (2) diagnosing the presence of cerebral small vessel disease or specific small vessel pathologies, (3) stratifying study participants according to their prognosis for VCID progression or treatment response, (4) demonstrating an intervention's target engagement or pharmacodynamic mechanism of action, and (5) monitoring disease progression during treatment. Effective biomarkers allow academic and industry investigators to advance promising interventions at early stages of development and discard interventions with low success likelihood. The MarkVCID consortium was formed in 2016 with the goal of developing and validating fluid- and imaging-based biomarkers for the cerebral small vessel diseases associated with VCID. MarkVCID consists of seven project sites and a central coordinating center, working with the National Institute of Neurologic Diseases and Stroke and National Institute on Aging under cooperative agreements. Through an internal selection process, MarkVCID has identified a panel of 11 candidate biomarker "kits" (consisting of the biomarker measure and the clinical and cognitive data used to validate it) and established a range of harmonized procedures and protocols for participant enrollment, clinical and cognitive evaluation, collection and handling of fluid samples, acquisition of neuroimaging studies, and biomarker validation. The overarching goal of these protocols is to generate rigorous validating data that could be used by investigators throughout the research community in selecting and applying biomarkers to multi-site VCID trials. Key features of MarkVCID participant enrollment, clinical/cognitive testing, and fluid biomarker procedures are summarized here, with full details in the following text, tables, and supplemental material, and a description of the MarkVCID imaging biomarker procedures in a companion paper, "MarkVCID Cerebral small vessel consortium: II. Neuroimaging protocols." The procedures described here address a range of challenges in MarkVCID's design, notably: (1) acquiring all data under informed consent and enrollment procedures that allow unlimited sharing and open-ended analyses without compromising participant privacy rights; (2) acquiring the data in a sufficiently wide range of study participants to allow assessment of candidate biomarkers across the various patient groups who might ultimately be targeted in VCID clinical trials; (3) defining a common dataset of clinical and cognitive elements that contains all the key outcome markers and covariates for VCID studies and is realistically obtainable during a practical study visit; (4) instituting best fluid-handling practices for minimizing avoidable sources of variability; and (5) establishing rigorous procedures for testing the reliability of candidate fluid-based biomarkers across replicates, assay runs, sites, and time intervals (collectively defined as the biomarker's instrumental validity). Participant Enrollment Project sites enroll diverse study cohorts using site-specific inclusion and exclusion criteria so as to provide generalizable validation data across a range of cognitive statuses, risk factor profiles, small vessel disease severities, and racial/ethnic characteristics representative of the diverse patient groups that might be enrolled in a future VCID trial. MarkVCID project sites include both prospectively enrolling centers and centers providing extant data and samples from preexisting community- and population-based studies. With approval of local institutional review boards, all sites incorporate MarkVCID consensus language into their study documents and informed consent agreements. The consensus language asks prospectively enrolled participants to consent to unrestricted access to their data and samples for research analysis within and outside MarkVCID. The data are transferred and stored as a de-identified dataset as defined by the Health Insurance Portability and Accountability Act Privacy Rule. Similar human subject protection and informed consent language serve as the basis for MarkVCID Research Agreements that act as contracts and data/biospecimen sharing agreements across the consortium. Clinical and Cognitive Data Clinical and cognitive data are collected across prospectively enrolling project sites using common MarkVCID instruments. The clinical data elements are modified from study protocols already in use such as the Alzheimer's Disease Center program Uniform Data Set Version 3 (UDS3), with additional focus on VCID-related items such as prior stroke and cardiovascular disease, vascular risk factors, focal neurologic findings, and blood testing for vascular risk markers and kidney function including hemoglobin A1c, cholesterol subtypes, triglycerides, and creatinine. Cognitive assessments and rating instruments include the Clinical Dementia Rating Scale, Geriatric Depression Scale, and most of the UDS3 neuropsychological battery. The cognitive testing requires ≈60 to 90 minutes. Study staff at the prospectively recruiting sites undergo formalized training in all measures and review of their first three UDS3 administrations by the coordinating center. Collection and Handling of Fluid Samples Fluid sample types collected for MarkVCID biomarker kits are serum, ethylenediaminetetraacetic acid-plasma, platelet-poor plasma, and cerebrospinal fluid (CSF) with additional collection of packed cells to allow future DNA extraction and analyses. MarkVCID fluid guidelines to minimize variability include fasting morning fluid collections, rapid processing, standardized handling and storage, and avoidance of CSF contact with polystyrene. Instrumental Validation for Fluid-Based Biomarkers Instrumental validation of MarkVCID fluid-based biomarkers is operationally defined as determination of intra-plate and inter-plate repeatability, inter-site reproducibility, and test-retest repeatability. MarkVCID study participants both with and without advanced small vessel disease are selected for these determinations to assess instrumental validity across the full biomarker assay range. Intra- and inter-plate repeatability is determined by repeat assays of single split fluid samples performed at individual sites. Inter-site reproducibility is determined by assays of split samples distributed to multiple sites. Test-retest repeatability is determined by assay of three samples acquired from the same individual, collected at least 5 days apart over a 30-day period and assayed on a single plate. The MarkVCID protocols are designed to allow direct translation of the biomarker validation results to multicenter trials. They also provide a template for outside groups to perform analyses using identical methods and therefore allow direct comparison of results across studies and centers. All MarkVCID protocols are available to the biomedical community and intended to be shared. In addition to the instrumental validation procedures described here, each of the MarkVCID kits will undergo biological validation to determine whether the candidate biomarker measures important aspects of VCID such as cognitive function. Analytic methods and results of these validation studies for the 11 MarkVCID biomarker kits will be published separately. The results of this rigorous validation process will ultimately determine each kit's potential usefulness for multicenter interventional trials aimed at preventing or treating small vessel disease related VCID.
血管性认知障碍和痴呆(VCID)的概念源于 20 多年来的研究,这些研究表明:(1)大多数认知障碍的老年人在死后都有多种导致疾病的病理学证据;(2)除了阿尔茨海默病(AD)病理学的主导作用外,脑血管病也占了很大一部分。导致血管性疾病的过程包括由大血管闭塞、心源性栓塞和不明来源的栓塞性梗死等病因引起的明显中风,以及由小脑血管疾病引起的经常无症状的脑损伤。小脑血管疾病,如小动脉硬化和脑淀粉样血管病,如果病理学严重程度达到中度或更高水平,与认知表现较差和痴呆的可能性增加独立相关,特别是与 AD 和其他神经退行性病理学相结合时。基于这一证据,美国国家阿尔茨海默病项目法案明确授权加速血管性和混合性痴呆以及额颞叶痴呆和路易体痴呆和 AD 本身的研究。生物标志物的开发一直被认为是将 VCID 中的科学进展转化为有效预防和治疗策略的关键步骤。经过验证的生物标志物可以在候选干预措施的试验中发挥多种作用,包括:(1)确定 VCID 风险增加的个体;(2)诊断脑小血管疾病或特定小血管病理学的存在;(3)根据其 VCID 进展或治疗反应的预后对研究参与者进行分层;(4)证明干预措施的靶标结合或药效学作用机制;(5)在治疗期间监测疾病进展。有效的生物标志物允许学术和行业研究人员在早期阶段推进有前途的干预措施,并淘汰成功率较低的干预措施。MarkVCID 联盟于 2016 年成立,目标是开发和验证与 VCID 相关的脑小血管疾病的基于液体和成像的生物标志物。MarkVCID 由七个项目站点和一个中央协调中心组成,与国家神经病学和中风研究所以及国家老龄化研究所合作,根据合作协议开展工作。通过内部选择过程,MarkVCID 已经确定了一个由 11 个候选生物标志物“试剂盒”组成的小组(由生物标志物测量值以及用于验证它的临床和认知数据组成),并建立了一系列协调的程序和协议,用于参与者招募、临床和认知评估、液体样本的采集和处理、神经影像学研究的获取以及生物标志物的验证。这些协议的总体目标是生成严格的验证数据,以便研究社区中的研究人员在选择和应用多中心 VCID 试验中的生物标志物时可以使用。MarkVCID 参与者招募、临床/认知测试和液体生物标志物程序的关键特征总结如下,详细信息请参见下文、表格和补充材料,以及“MarkVCID 脑小血管联盟:II.神经影像学协议”中描述的 MarkVCID 成像生物标志物程序。这里描述的程序解决了 MarkVCID 设计中的一系列挑战,特别是:(1)在知情同意和招募程序下获取所有数据,这些程序允许在不损害参与者隐私权的情况下进行无限制的共享和开放式分析;(2)在各种可能最终成为 VCID 临床试验目标的患者群体中,以足够广泛的研究参与者获取数据,以评估候选生物标志物;(3)定义一个共同的临床和认知元素数据集,其中包含所有 VCID 研究的关键结果标志物和协变量,并且在实际研究访问期间是实际可获得的;(4)实施最佳的液体处理实践,以最大程度地减少可避免的来源的变异性;(5)建立严格的程序,以跨重复、分析运行、站点和时间间隔(统称为生物标志物的仪器有效性)测试候选液体生物标志物的可靠性。参与者招募项目站点使用特定于站点的纳入和排除标准招募各种认知状态、风险因素概况、小血管疾病严重程度和种族/族裔特征的代表性研究队列,以提供适用于未来 VCID 试验的广泛验证数据。MarkVCID 项目站点包括前瞻性入组中心和提供先前基于社区和人群的研究中现存数据和样本的中心。在获得当地机构审查委员会的批准后,所有站点都将 MarkVCID 共识语言纳入其研究文件和知情同意协议中。这些数据作为定义明确的数据集进行转移和存储,符合《健康保险携带和责任法案隐私规则》。类似的人类受试者保护和知情同意语言是 MarkVCID 研究协议的基础,该协议作为合同和数据/生物样本共享协议在整个联盟中发挥作用。临床和认知数据使用常见的 MarkVCID 仪器在前瞻性入组的项目站点收集临床和认知数据。临床数据元素是从已经使用的研究方案(如阿尔茨海默病中心计划的统一数据集版本 3(UDS3))中修改而来,重点关注与 VCID 相关的项目,如既往中风和心血管疾病、血管风险因素、局灶性神经学发现以及血管风险标志物和肾脏功能的血液检测,包括血红蛋白 A1c、胆固醇亚型、甘油三酯和肌酐。认知评估和评分工具包括临床痴呆评定量表、老年抑郁量表和 UDS3 神经心理学测试的大部分内容。认知测试需要大约 60 到 90 分钟。前瞻性招募站点的研究人员接受所有措施的正式培训,并由协调中心对前三次 UDS3 管理进行审查。采集和处理液体样本用于 MarkVCID 生物标志物试剂盒的液体样本类型包括血清、乙二胺四乙酸-血浆、血小板少血浆和脑脊液(CSF),此外还采集了浓缩细胞,以允许将来进行 DNA 提取和分析。MarkVCID 液体指南包括空腹晨采、快速处理、标准化处理和储存以及避免 CSF 与聚苯乙烯接触,以尽量减少变异性。MarkVCID 液体生物标志物的仪器验证操作性定义为确定板内和板间重复性、站点间再现性和测试-重测重复性。为了评估整个生物标志物检测范围内的仪器有效性,选择具有和不具有先进小血管疾病的 MarkVCID 研究参与者进行这些测定。在各个站点重复分析单个分样的单份样品,以确定板内和板间重复性。将分样分配给多个站点进行分析,以确定站点间再现性。通过在 30 天内采集三个相同个体的三个样本,至少间隔 5 天进行检测,然后在单个板上进行检测,以确定测试-重测重复性。MarkVCID 协议旨在允许直接将生物标志物验证结果转化为多中心试验。它们还为外部团体提供了使用相同方法进行分析的模板,因此允许直接比较不同研究和中心的结果。所有 MarkVCID 协议都可供生物医学界使用,并旨在共享。除了这里描述的仪器验证程序外,每个 MarkVCID 试剂盒都将进行生物学验证,以确定候选生物标志物测量是否与认知功能等 VCID 相关。将单独发表这些 11 个 MarkVCID 生物标志物试剂盒的生物验证研究的分析方法和结果。这一严格的验证过程的结果最终将决定每个试剂盒在旨在预防或治疗小血管疾病相关 VCID 的多中心干预性试验中的潜在用途。
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