Complex Profiles of Cerebrovascular Disease Pathologies in the Aging Brain and Their Relationship With Cognitive Decline

被引:13
|
作者
Lamar, Melissa [1 ,2 ]
Leurgans, Sue [1 ,3 ]
Kapasi, Alifiya [1 ,4 ]
Barnes, Lisa L. [1 ,2 ,3 ]
Boyle, Patricia A. [1 ,2 ]
Bennett, David A. [1 ,3 ]
Arfanakis, Konstantinos [1 ,5 ,6 ]
Schneider, Julie A. [1 ,3 ,4 ]
机构
[1] Rush Univ, Rush Alzheimers Dis Ctr, Med Ctr, 1750 W Harrison St,Suite 1000, Chicago, IL 60612 USA
[2] Rush Univ, Dept Psychiat & Behav Sci, Med Ctr, Chicago, IL 60612 USA
[3] Rush Univ, Dept Neurol Sci, Med Ctr, Chicago, IL 60612 USA
[4] Rush Univ, Dept Pathol, Med Ctr, Chicago, IL 60612 USA
[5] Rush Univ, Dept Diagnost Radiol & Nucl Med, Med Ctr, Chicago, IL 60612 USA
[6] IIT, Dept Biomed Engn, Chicago, IL 60616 USA
基金
美国国家卫生研究院;
关键词
arteriolosclerosis; atherosclerosis; comorbidity; dementia; neuropathology; CEREBRAL AMYLOID ANGIOPATHY; ALZHEIMERS-DISEASE; CLINICAL-DIAGNOSIS; RISK-FACTORS; RUSH MEMORY; DEMENTIA; NEUROPATHOLOGY; COMMUNITY; ASSOCIATION; INFARCTS;
D O I
10.1161/STROKEAHA.121.034814
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Purpose: Cerebrovascular disease (CVD) pathologies including vessel disease (atherosclerosis, arteriolosclerosis, and cerebral amyloid angiopathy) and tissue injury (macroinfarcts and microinfarcts) each contribute to Alzheimer and other forms of dementia. CVD is often a complex mix of neuropathologies, with little known about the frequencies of differing combinations or their associations with cognition. Methods: We investigated 32 possible CVD combinations (3 types of vessel disease and 2 types of tissue injury) using autopsy data from 1474 decedents (approximate to 88 years at death; 65% female) of Rush Alzheimer's Disease Center studies. We determined frequencies of all 32 CVD combinations and their relationships with global and domain-specific cognitive decline using mixed-effect models adjusted for demographics, neuropathologies, time before death, and interactions of these variables with time. Results: Of the 1184 decedents with CVD neuropathology (80% of the total sample), 37% had a single CVD (67-148 decedents/group) while 63% had mixed CVD profiles (11-54 decedents/group). When considered as 2 distinct groups, the mixed CVD profile group (but not the single CVD profile group) showed a faster cognitive decline across all domains assessed compared with decedents without CVD neuropathology. Most mixed CVD profiles, especially those involving both atherosclerosis and arteriolosclerosis, showed faster cognitive decline than any single CVD profile considered alone; specific mixed CVD profiles differentially associated with individual cognitive domains. Conclusions: Mixed CVD, more common than single CVD, is associated with cognitive decline, and distinct mixed CVD profiles show domain-specific associations with cognitive decline. CVD is not monolithic but consists of heterogenous person-specific combinations with distinct contributions to cognitive decline.
引用
收藏
页码:218 / 227
页数:10
相关论文
共 50 条
  • [41] Language in the aging brain: The network dynamics of cognitive decline and preservation
    Shafto, Meredith A.
    Tyler, Lorraine K.
    [J]. SCIENCE, 2014, 346 (6209) : 583 - 587
  • [42] Effect of peripheral cellular senescence on brain aging and cognitive decline
    Budamagunta, Vivekananda
    Kumar, Ashok
    Rani, Asha
    Bean, Linda
    Manohar-Sindhu, Sahana
    Yang, Yang
    Zhou, Daohong
    Foster, Thomas C. C.
    [J]. AGING CELL, 2023, 22 (05)
  • [43] Subclinical Cerebrovascular Disease and Cognitive Decline Response to Letter by Hadjiev and Mineva
    Wendell, Carrington Rice
    Zonderman, Alan B.
    Metter, E. Jeffrey
    Najjar, Samer S.
    Waldstein, Shari R.
    [J]. STROKE, 2010, 41 (02) : E113 - E113
  • [44] Quantitative MRI predictors of cognitive decline associated with AD and cerebrovascular disease
    Mungas, D
    Reed, BR
    Jagust, WJ
    DeCarli, C
    Kramer, JH
    Weiner, MW
    Schuff, N
    Chui, HC
    [J]. NEUROLOGY, 2001, 56 (08) : A374 - A374
  • [45] THE ROLE OF CEREBROVASCULAR RISK FACTORS IN COGNITIVE, ANATOMICAL, AND FUNCTIONAL BRAIN AGING
    Fabiani, Monica
    Gratton, Gabriele
    [J]. PSYCHOPHYSIOLOGY, 2022, 59 : S24 - S24
  • [46] Blood pressure lowering for the prevention of cognitive decline in patients with cerebrovascular disease
    Whitlock, G
    MacMahon, S
    Anderson, C
    Neal, B
    Rodgers, A
    Chalmers, J
    [J]. CLINICAL AND EXPERIMENTAL HYPERTENSION, 1997, 19 (5-6) : 843 - 855
  • [47] Distinct pathways for cognitive decline in the presence of Alzheimer's disease pathology or cerebrovascular disease
    Cohen, Ann D.
    [J]. BRAIN, 2016, 139 : 2340 - 2341
  • [48] A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer’s disease
    Sara Mostafavi
    Chris Gaiteri
    Sarah E. Sullivan
    Charles C. White
    Shinya Tasaki
    Jishu Xu
    Mariko Taga
    Hans-Ulrich Klein
    Ellis Patrick
    Vitalina Komashko
    Cristin McCabe
    Robert Smith
    Elizabeth M. Bradshaw
    David E. Root
    Aviv Regev
    Lei Yu
    Lori B. Chibnik
    Julie A. Schneider
    Tracy L. Young-Pearse
    David A. Bennett
    Philip L. De Jager
    [J]. Nature Neuroscience, 2018, 21 : 811 - 819
  • [49] A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer's disease
    Mostafavi, Sara
    Gaiteri, Chris
    Sullivan, Sarah E.
    White, Charles C.
    Tasaki, Shinya
    Xu, Jishu
    Taga, Mariko
    Klein, Hans-Ulrich
    Patrick, Ellis
    Komashko, Vitalina
    McCabe, Cristin
    Smith, Robert
    Bradshaw, Elizabeth M.
    Root, David E.
    Regev, Aviv
    Yu, Lei
    Chibnik, Lori B.
    Schneider, Julie A.
    Young-Pearse, Tracy L.
    Bennett, David A.
    De Jager, Philip L.
    [J]. NATURE NEUROSCIENCE, 2018, 21 (06) : 811 - +
  • [50] Cognitive variability, brain aging, and cognitive decline in late-life major depression
    Manning, Kevin J.
    Preciado-Pina, Joshua
    Wang, Lihong
    Fitzgibbon, Kimberly
    Chan, Grace
    Steffens, David C.
    [J]. INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, 2021, 36 (05) : 665 - 676