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DC Field | Value | Language |
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dc.contributor.author | Ismail, Z | - |
dc.contributor.author | Leon, R | - |
dc.contributor.author | Creese, B | - |
dc.contributor.author | Ballard, C | - |
dc.contributor.author | Robert, P | - |
dc.contributor.author | Smith, EE | - |
dc.date.accessioned | 2023-11-16T13:58:58Z | - |
dc.date.available | 2023-11-16T13:58:58Z | - |
dc.date.issued | 2023-07-29 | - |
dc.identifier | ORCID iD: Zahinoor Ismail http://orcid.org/0000-0002-5529-3731 | - |
dc.identifier | ORCID iD: Byron Creese https://orcid.org/0000-0001-6490-6037 | - |
dc.identifier | 50 | - |
dc.identifier.citation | Ismail, Z. et al. (2023) 'Optimizing detection of Alzheimer’s disease in mild cognitive impairment: a 4-year biomarker study of mild behavioral impairment in ADNI and MEMENTO', Molecular Neurodegeneration, 18 (1), 50, pp. 1 - 25. doi: 10.1186/s13024-023-00631-6. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27648 | - |
dc.description | Availability of data and materials: Data from ADNI are available by request, and authors will share data cleaning script with interested parties. MEMENTO data require a specific application to the MEMENTO secretariat and analyses are completed on the DPUK platform. Authors will also share R script for MEMENTO data upon request. | en_US |
dc.description.abstract | Copyright © The Author(s) 2023. Background: Disease-modifying drug use necessitates better Alzheimer disease (AD) detection. Mild cognitive impairment (MCI) leverages cognitive decline to identify the risk group; similarly, mild behavioral impairment (MBI) leverages behavioral change. Adding MBI to MCI improves dementia prognostication over conventional approaches of incorporating neuropsychiatric symptoms (NPS). Here, to determine if adding MBI would better identify AD, we interrogated associations between MBI in MCI, and cerebrospinal fluid biomarkers [β-amyloid (Aβ), phosphorylated-tau (p-tau), and total-tau (tau)-ATN], cross-sectionally and longitudinally. Methods: Data were from two independent referral-based cohorts, ADNI (mean[SD] follow-up 3.14[1.07] years) and MEMENTO (4.25[1.40] years), collected 2003–2021. Exposure was based on three-group stratification: 1) NPS meeting MBI criteria; 2) conventionally measured NPS (NPSnotMBI); and 3) noNPS. Cohorts were analyzed separately for: 1) cross-sectional associations between NPS status and ATN biomarkers (linear regressions); 2) 4-year longitudinal repeated-measures associations of MBI and NPSnotMBI with ATN biomarkers (hierarchical linear mixed-effects models-LMEs); and 3) rates of incident dementia (Cox proportional hazards regressions). Results: Of 510 MCI participants, 352 were from ADNI (43.5% females; mean [SD] age, 71.68 [7.40] years), and 158 from MEMENTO (46.2% females; 68.98 [8.18] years). In ADNI, MBI was associated with lower Aβ42 (standardized β [95%CI], -5.52% [-10.48-(-0.29)%]; p = 0.039), and Aβ42/40 (p = 0.01); higher p-tau (9.67% [3.96–15.70%]; p = 0.001), t-tau (7.71% [2.70–12.97%]; p = 0.002), p-tau/Aβ42 (p < 0.001), and t-tau/Aβ42 (p = 0.001). NPSnotMBI was associated only with lower Aβ42/40 (p = 0.045). LMEs revealed a similar 4-year AD-specific biomarker profile for MBI, with NPSnotMBI associated only with higher t-tau. MBI had a greater rate of incident dementia (HR [95%CI], 3.50 [1.99–6.17; p < 0.001). NPSnotMBI did not differ from noNPS (HR 0.96 [0.49–1.89]; p = 0.916). In MEMENTO, MBI demonstrated a similar magnitude and direction of effect for all biomarkers, but with a greater reduction in Aβ40. HR for incident dementia was 3.93 (p = 0.004) in MBI, and 1.83 (p = 0.266) in NPSnotMBI. Of MBI progressors to dementia, 81% developed AD dementia. Conclusions: These findings support a biological basis for NPS that meet MBI criteria, the continued inclusion of MBI in NIA-AA ATN clinical staging, and the utility of MBI criteria to improve identification of patients for enrollment in disease-modifying drug trials or for clinical care. | en_US |
dc.description.sponsorship | This work was also supported by CIC1401-EC, Bordeaux University Hospital (CHU Bordeaux, sponsor of the cohort), Inserm, and the University of Bordeaux. The MEMENTO cohort has received funding support from FUJIREBIO through private–public partnerships. ZI is funded by a grant from the Canadian Institutes for Health Research (BCA 2633). ZI, BC, and CB are supported by the National Institute for Health and Care Research (NIHR) Exeter Biomedical Research Centre. | en_US |
dc.format.extent | 1 - 25 | - |
dc.format.medium | Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | BioMed Central (part of Springer Nature) | en_US |
dc.rights | Copyright © The Author(s) 2023. Rights and permissions: Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (https://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | Alzheimer’s disease | en_US |
dc.subject | mild cognitive impairment | en_US |
dc.subject | prodromal disease | en_US |
dc.subject | neuropsychiatric symptoms | en_US |
dc.subject | mild behavioral impairment | en_US |
dc.subject | biomarkers | en_US |
dc.subject | amyloid | en_US |
dc.subject | tau | en_US |
dc.subject | neurodegeneration | en_US |
dc.subject | ATN | en_US |
dc.subject | cerebrospinal fluid | en_US |
dc.title | Optimizing detection of Alzheimer’s disease in mild cognitive impairment: a 4-year biomarker study of mild behavioral impairment in ADNI and MEMENTO | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1186/s13024-023-00631-6 | - |
dc.relation.isPartOf | Molecular Neurodegeneration | - |
pubs.issue | 1 | - |
pubs.publication-status | Published | - |
pubs.volume | 18 | - |
dc.identifier.eissn | 1750-1326 | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Dept of Life Sciences Research Papers |
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