MarkVCID cerebral small vessel consortium: I. Enrollment, clinical, fluid protocols.
best practices
biomarker
biospecimen
clinical and cognitive evaluation
clinical and cognitive outcome markers
collection and handling of fluid samples
enrollment
harmonized procedures and protocols
small vessel disease
validation
vascular contributions to cognitive impairment and dementia
Journal
Alzheimer's & dementia : the journal of the Alzheimer's Association
ISSN: 1552-5279
Titre abrégé: Alzheimers Dement
Pays: United States
ID NLM: 101231978
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
received:
26
05
2020
accepted:
22
09
2020
pubmed:
23
1
2021
medline:
4
11
2021
entrez:
22
1
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33480172
doi: 10.1002/alz.12215
pmc: PMC8122220
mid: NIHMS1636930
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
704-715Subventions
Organisme : NINDS NIH HHS
ID : UF1 NS100598
Pays : United States
Organisme : CSRD VA
ID : IK2 CX002180
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100614
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100606
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100605
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG010129
Pays : United States
Organisme : NINDS NIH HHS
ID : UH3 NS100608
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100608
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG066507
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG072946
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS017950
Pays : United States
Organisme : NINDS NIH HHS
ID : UF1 NS125513
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100599
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG054076
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100588
Pays : United States
Organisme : NINDS NIH HHS
ID : U24 NS100591
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG066524
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG012435
Pays : United States
Organisme : NINDS NIH HHS
ID : UF1 NS100614
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG066530
Pays : United States
Organisme : NINDS NIH HHS
ID : UH2 NS100598
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG052409
Pays : United States
Organisme : NINDS NIH HHS
ID : UH3 NS100614
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG028383
Pays : United States
Informations de copyright
© 2021 the Alzheimer's Association.
Références
Alzheimers Dement. 2021 Apr;17(4):716-725
pubmed: 33480157
PLoS One. 2020 Jan 24;15(1):e0227835
pubmed: 31978079
Alzheimers Dement. 2015 May;11(5):549-60
pubmed: 25282381
AJR Am J Roentgenol. 1987 Aug;149(2):351-6
pubmed: 3496763
Genet Med. 2018 Apr;20(5):531-535
pubmed: 28914268
J Cereb Blood Flow Metab. 2016 Jan;36(1):6-25
pubmed: 26198175
J Gerontol. 1994 Mar;49(2):M85-94
pubmed: 8126356
J Am Geriatr Soc. 1995 Jun;43(6):674-9
pubmed: 7775729
N Engl J Med. 2002 Nov 28;347(22):1761-8
pubmed: 12456852
Ultrasound Obstet Gynecol. 2008 Apr;31(4):466-75
pubmed: 18306169
Neurology. 1993 Nov;43(11):2412-4
pubmed: 8232972
Clin Gerontol. 2017 Jan-Feb;40(1):63-73
pubmed: 28452628
Med Health Care Philos. 2013 May;16(2):151-62
pubmed: 22028241
Curr Drug Targets. 2009 Oct;10(10):1001-8
pubmed: 19860643
Lancet. 1986 Feb 8;1(8476):307-10
pubmed: 2868172
J Oncol Pract. 2009 Jan;5(1):40-41
pubmed: 29447549
Metabolism. 2008 Jun;57(6):867-70
pubmed: 18502272
Alzheimer Dis Assoc Disord. 2018 Oct-Dec;32(4):351-358
pubmed: 30376508
Hum Genet. 2011 Sep;130(3):383-92
pubmed: 21739176
Fed Regist. 2016 May 17;81(95):31143-59
pubmed: 27192741
J Cereb Blood Flow Metab. 2016 Jan;36(1):55-71
pubmed: 25899297
Neurology. 2014 Aug 26;83(9):851-60
pubmed: 25080517
J Int Neuropsychol Soc. 2001 Jul;7(5):544-55
pubmed: 11459106
Ann Neurol. 2018 Jan;83(1):74-83
pubmed: 29244218
Health Aff (Millwood). 2018 May;37(5):702-709
pubmed: 29733719
Alzheimer Dis Assoc Disord. 2018 Jan-Mar;32(1):10-17
pubmed: 29240561
Am J Hum Genet. 2013 Apr 4;92(4):479-88
pubmed: 23561843
Nucleic Acids Res. 2017 Jan 4;45(D1):D819-D826
pubmed: 27899644
Biomark Med. 2012 Aug;6(4):419-30
pubmed: 22917144
Alzheimers Dement (Amst). 2019 Apr 02;11:291-300
pubmed: 30984815
JAMA Neurol. 2013 Oct;70(10):1227-8
pubmed: 23921561
BMC Med. 2015 Dec 17;13:298
pubmed: 26675031
Alzheimers Dement. 2018 Oct;14(10):1313-1333
pubmed: 29940161
BMC Med Ethics. 2010 Sep 16;11:16
pubmed: 20843366
J Neurol. 2013 Jan;260(1):221-7
pubmed: 22875099