001     272157
005     20250127091527.0
024 7 _ |a pmc:PMC11450612
|2 pmc
024 7 _ |a 10.1212/WNL.0000000000209801
|2 doi
024 7 _ |a pmid:39288341
|2 pmid
024 7 _ |a 0028-3878
|2 ISSN
024 7 _ |a 1526-632X
|2 ISSN
024 7 _ |a altmetric:168020358
|2 altmetric
037 _ _ |a DZNE-2024-01148
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Lorenzini, Luigi
|0 0000-0002-9756-881X
|b 0
245 _ _ |a Association of Vascular Risk Factors and Cerebrovascular Pathology With Alzheimer Disease Pathologic Changes in Individuals Without Dementia.
260 _ _ |a [Erscheinungsort nicht ermittelbar]
|c 2024
|b Ovid
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1727165643_16291
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Vascular risk factors (VRFs) and cerebral small vessel disease (cSVD) are common in patients with Alzheimer disease (AD). It remains unclear whether this coexistence reflects shared risk factors or a mechanistic relationship and whether vascular and amyloid pathologies have independent or synergistic influence on subsequent AD pathophysiology in preclinical stages. We investigated links between VRFs, cSVD, and amyloid levels (Aβ1-42) and their combined effect on downstream AD biomarkers, that is, CSF hyperphosphorylated tau (P-tau181), atrophy, and cognition.This retrospective study included nondemented participants (Clinical Dementia Rating < 1) from the European Prevention of Alzheimer's Dementia (EPAD) cohort and assessed VRFs with the Framingham risk score (FRS) and cSVD features on MRI using visual scales and white matter hyperintensity volumes. After preliminary linear analysis, we used structural equation modeling (SEM) to create a 'cSVD severity' latent variable and assess the direct and indirect effects of FRS and cSVD severity on Aβ1-42, P-tau181, gray matter volume (baseline and longitudinal), and cognitive performance (baseline and longitudinal).A total cohort of 1,592 participants were evaluated (mean age = 65.5 ± 7.4 years; 56.16% F). We observed positive associations between FRS and all cSVD features (all p < 0.05) and a negative association between FRS and Aβ1-42 (β = -0.04 ± 0.01). All cSVD features were negatively associated with CSF Aβ1-42 (all p < 0.05). Using SEM, the cSVD severity fully mediated the association between FRS and CSF Aβ1-42 (indirect effect: β = -0.03 ± 0.01), also when omitting vascular amyloid-related markers. We observed a significant indirect effect of cSVD severity on P-tau181 (indirect effect: β = 0.12 ± 0.03), baseline and longitudinal gray matter volume (indirect effect: β = -0.10 ± 0.03; β = -0.12 ± 0.05), and baseline cognitive performance (indirect effect: β = -0.16 ± 0.03) through CSF Aβ1-42.In a large nondemented population, our findings suggest that cSVD is a mediator of the relationship between VRFs and CSF Aβ1-42 and affects downstream neurodegeneration and cognitive impairment. We provide evidence of VRFs indirectly affecting the pathogenesis of AD, highlighting the importance of considering cSVD burden in memory clinics for AD risk evaluation and as an early window for intervention. These results stress the role of VRFs and cerebrovascular pathology as key biomarkers for accurate design of anti-amyloid clinical trials and offer new perspectives for patient stratification.
536 _ _ |a 353 - Clinical and Health Care Research (POF4-353)
|0 G:(DE-HGF)POF4-353
|c POF4-353
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 7 |a Amyloid beta-Peptides
|2 NLM Chemicals
650 _ 7 |a tau Proteins
|2 NLM Chemicals
650 _ 7 |a Peptide Fragments
|2 NLM Chemicals
650 _ 7 |a amyloid beta-protein (1-42)
|2 NLM Chemicals
650 _ 7 |a Biomarkers
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Alzheimer Disease: pathology
|2 MeSH
650 _ 2 |a Alzheimer Disease: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Alzheimer Disease: diagnostic imaging
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Risk Factors
|2 MeSH
650 _ 2 |a Amyloid beta-Peptides: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Retrospective Studies
|2 MeSH
650 _ 2 |a Cerebral Small Vessel Diseases: diagnostic imaging
|2 MeSH
650 _ 2 |a Cerebral Small Vessel Diseases: complications
|2 MeSH
650 _ 2 |a Cerebral Small Vessel Diseases: pathology
|2 MeSH
650 _ 2 |a tau Proteins: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Peptide Fragments: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging
|2 MeSH
650 _ 2 |a Biomarkers: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Brain: pathology
|2 MeSH
650 _ 2 |a Brain: diagnostic imaging
|2 MeSH
650 _ 2 |a Atrophy: pathology
|2 MeSH
700 1 _ |a Maranzano, Alessio
|0 0000-0002-3642-9584
|b 1
700 1 _ |a Ingala, Silvia
|b 2
700 1 _ |a Collij, Lyduine E
|0 0000-0001-6263-1762
|b 3
700 1 _ |a Tranfa, Mario
|0 0000-0002-4451-4746
|b 4
700 1 _ |a Blennow, Kaj
|0 0000-0002-1890-4193
|b 5
700 1 _ |a Di Perri, Carol
|b 6
700 1 _ |a Foley, Christopher
|b 7
700 1 _ |a Fox, Nick C
|b 8
700 1 _ |a Frisoni, Giovanni B
|0 P:(DE-2719)9001538
|b 9
700 1 _ |a Haller, Sven
|0 0000-0001-7433-0203
|b 10
700 1 _ |a Martinez-Lage, Pablo
|b 11
700 1 _ |a Mollison, Daisy
|b 12
700 1 _ |a O'Brien, John
|b 13
700 1 _ |a Payoux, Pierre
|0 0000-0002-1374-1620
|b 14
700 1 _ |a Ritchie, Craig
|0 0000-0002-6202-6906
|b 15
700 1 _ |a Scheltens, Philip
|0 0000-0002-1046-6408
|b 16
700 1 _ |a Schwarz, Adam J
|b 17
700 1 _ |a Sudre, Carole H
|0 0000-0001-5753-428X
|b 18
700 1 _ |a Tijms, Betty M
|b 19
700 1 _ |a Verde, Federico
|b 20
700 1 _ |a Ticozzi, Nicola
|b 21
700 1 _ |a Silani, Vincenzo
|0 0000-0002-7698-3854
|b 22
700 1 _ |a Visser, Pieter Jelle
|0 0000-0001-8008-9727
|b 23
700 1 _ |a Waldman, Adam
|b 24
700 1 _ |a Wolz, Robin
|0 0009-0002-5856-0126
|b 25
700 1 _ |a Chételat, Gael
|0 0000-0002-4889-7932
|b 26
700 1 _ |a Ewers, Michael
|0 P:(DE-2719)9000543
|b 27
700 1 _ |a Wink, Alle Meije
|0 0000-0002-8197-0118
|b 28
700 1 _ |a Mutsaerts, Henk
|0 0000-0003-0894-0307
|b 29
700 1 _ |a Gispert, Juan Domingo
|0 0000-0002-6155-0642
|b 30
700 1 _ |a Wardlaw, Joanna M
|0 0000-0002-9812-6642
|b 31
700 1 _ |a Barkhof, Frederik
|0 0000-0003-3543-3706
|b 32
773 _ _ |a 10.1212/WNL.0000000000209801
|g Vol. 103, no. 7, p. e209801
|0 PERI:(DE-600)1491874-2
|n 7
|p e209801
|t Neurology
|v 103
|y 2024
|x 0028-3878
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/272157/files/DZNE-2024-01148.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/272157/files/DZNE-2024-01148.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:272157
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 27
|6 P:(DE-2719)9000543
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-353
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Clinical and Health Care Research
|x 0
914 1 _ |y 2024
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2023-10-21
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NEUROLOGY : 2022
|d 2023-10-21
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b NEUROLOGY : 2022
|d 2023-10-21
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2023-10-21
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Allianz-Lizenz
|0 StatID:(DE-HGF)0410
|2 StatID
|d 2023-10-21
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-21
920 1 _ |0 I:(DE-2719)1111015
|k Clinical Research (Munich)
|l Clinical Research (Munich)
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1111015
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21