Plasma TDP-43 levels are associated with neuroimaging measures of brain structure in limbic regions

被引:5
作者
Bauer, Christopher E. E. [1 ]
Zachariou, Valentinos [1 ]
Sudduth, Tiffany L. L. [2 ]
Van Eldik, Linda J. J. [2 ]
Jicha, Gregory A. A. [2 ,3 ]
Nelson, Peter T. T. [2 ,4 ]
Wilcock, Donna M. M. [2 ,5 ]
Gold, Brian T. T. [1 ,2 ,6 ,7 ,8 ]
机构
[1] Univ Kentucky, Dept Neurosci, Lexington, KY 40536 USA
[2] Univ Kentucky, Sanders Brown Ctr Aging, Lexington, KY 40536 USA
[3] Univ Kentucky, Dept Neurol, Lexington, KY 40536 USA
[4] Univ Kentucky, Dept Pathol & Lab Med, Lexington, KY 40536 USA
[5] Univ Kentucky, Dept Physiol, Lexington, KY 40536 USA
[6] Univ Kentucky, Dept Radiol, Lexington, KY 40536 USA
[7] Univ Kentucky, Magnet Resonance Imaging & Spect Ctr, Lexington, KY 40536 USA
[8] Univ Kentucky, Coll Med, Dept Neurosci, MN 364 Med Sci Bldg,800 Rose St, Lexington, KY 40536 USA
基金
美国国家卫生研究院;
关键词
aging; biomarker; cortical thickness; entorhinal cortex; limbic-predominant age-related TDP-43 encephalopathy; neuroimaging; plasma transactive response DNA binding protein of 43 kDa; HIPPOCAMPAL SCLEROSIS; COGNITIVE IMPAIRMENT; ALZHEIMERS-DISEASE; ENTORHINAL CORTEX; PATHOLOGY; MRI; IMMUNOREACTIVITY; ATROPHY; VIVO;
D O I
10.1002/dad2.12437
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
IntroductionWe evaluated the relationship between plasma levels of transactive response DNA binding protein of 43 kDa (TDP-43) and neuroimaging (magnetic resonance imaging [MRI]) measures of brain structure in aging. MethodsPlasma samples were collected from 72 non-demented older adults (age range 60-94 years) in the University of Kentucky Alzheimer's Disease Research Center cohort. Multivariate linear regression models were run with plasma TDP-43 level as the predictor variable and brain structure (volumetric or cortical thickness) measurements as the dependent variable. Covariates included age, sex, intracranial volume, and plasma markers of Alzheimer's disease neuropathological change (ADNC). ResultsNegative associations were observed between plasma TDP-43 level and both the volume of the entorhinal cortex, and cortical thickness in the cingulate/parahippocampal gyrus, after controlling for ADNC plasma markers. DiscussionPlasma TDP-43 levels may be directly associated with structural MRI measures. Plasma TDP-43 assays may prove useful in clinical trial stratification. HIGHLIGHTSPlasma transactive response DNA binding protein of 43 kDa (TDP-43) levels were associated with entorhinal cortex volume.Biomarkers of TDP-43 and Alzheimer's disease neuropathologic change (ADNC) may help distinguish limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) from ADNC.A comprehensive biomarker kit could aid enrollment in LATE-NC clinical trials.
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页数:10
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  • [1] TDP-43 immunoreactivity in hippocampal sclerosis and Alzheimer's disease
    Amador-Ortiz, Catalina
    Lin, Wen-Lang
    Ahmed, Zeshan
    Personett, David
    Davies, Peter
    Dara, Ranjan
    Graff-Radford, Neill R.
    Hutton, Michael L.
    Dickson, Dennis W.
    [J]. ANNALS OF NEUROLOGY, 2007, 61 (05) : 435 - 445
  • [2] Antemortem volume loss mirrors TDP-43 staging in older adults with non-frontotemporal lobar degeneration
    Bejanin, Alexandre
    Murray, Melissa E.
    Martin, Peter
    Botha, Hugo
    Tosakulwong, Nirubol
    Schwarz, Christopher G.
    Senjem, Matthew L.
    Chetelat, Gael
    Kantarci, Kejal
    Jack, Clifford R., Jr.
    Boeve, Bradley F.
    Knopman, David S.
    Petersen, Ronald C.
    Giannini, Caterina
    Parisi, Joseph E.
    Dickson, Dennis W.
    Whitwell, Jennifer L.
    Josephs, Keith A.
    [J]. BRAIN, 2019, 142 : 3621 - 3635
  • [3] Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set
    Besser, Lilah
    Kukull, Walter
    Knopman, David S.
    Chui, Helena
    Galasko, Douglas
    Weintraub, Sandra
    Jicha, Gregory
    Carlsson, Cynthia
    Burns, Jeffrey
    Quinn, Joseph
    Sweet, Robert A.
    Rascovsky, Katya
    Teylan, Merilee
    Beekly, Duane
    Thomas, George
    Bollenbeck, Mark
    Monsell, Sarah
    Mock, Charles
    Zhou, Xiao Hua
    Thomas, Nicole
    Robichaud, Elizabeth
    Dean, Margaret
    Hubbard, Janene
    Jacka, Mary
    Schwabe-Fry, Kristen
    Wu, Joylee
    Phelps, Creighton
    Morris, John C.
    [J]. ALZHEIMER DISEASE & ASSOCIATED DISORDERS, 2018, 32 (04) : 351 - 358
  • [4] Limbic Predominant Age-Related TDP-43 Encephalopathy (LATE): Clinical and Neuropathological Associations
    Besser, Lilah M.
    Teylan, Merilee A.
    Nelson, Peter T.
    [J]. JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY, 2020, 79 (03) : 305 - 313
  • [6] Canto Cathrin B., 2008, Neural Plasticity, V2008, P1, DOI 10.1155/2008/381243
  • [7] Radiological-Pathological Correlation in Alzheimer's Disease: Systematic Review of Antemortem Magnetic Resonance Imaging Findings
    Dallaire-Theroux, Caroline
    Callahan, Brandy L.
    Potvin, Olivier
    Saikali, Stephan
    Duchesne, Simon
    [J]. JOURNAL OF ALZHEIMERS DISEASE, 2017, 57 (02) : 575 - 601
  • [8] MRI and CSF studies in the early diagnosis of Alzheimer's disease
    de Leon, MJ
    DeSanti, S
    Zinkowski, R
    Mehta, PD
    Pratico, D
    Segal, S
    Clark, C
    Kerkman, D
    DeBernardis, J
    Li, J
    Lair, L
    Reisberg, B
    Tsui, W
    Rusinek, H
    [J]. JOURNAL OF INTERNAL MEDICINE, 2004, 256 (03) : 205 - 223
  • [9] The Episodic Memory System: Neurocircuitry and Disorders
    Dickerson, Bradford C.
    Eichenbaum, Howard
    [J]. NEUROPSYCHOPHARMACOLOGY, 2010, 35 (01) : 86 - 104
  • [10] A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI
    Eugenio Iglesias, Juan
    Augustinack, Jean C.
    Khoa Nguyen
    Player, Christopher M.
    Player, Allison
    Wright, Michelle
    Roy, Nicole
    Frosch, Matthew P.
    McKee, Ann C.
    Wald, Lawrence L.
    Fischl, Bruce
    Van Leemput, Koen
    [J]. NEUROIMAGE, 2015, 115 : 117 - 137