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Woodworth DC, Nguyen KM, Sordo L, Scambray KA, Head E, Kawas CH, Corrada MM, Nelson PT, Sajjadi SA. Evaluating the updated LATE-NC staging criteria using data from NACC. Alzheimers Dement 2024. [PMID: 39352226 DOI: 10.1002/alz.14262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 08/22/2024] [Accepted: 08/23/2024] [Indexed: 10/05/2024]
Abstract
INTRODUCTION Limbic-predominant age-related TAR DNA-binding protein of 43 kDa encephalopathy neuropathologic change (LATE-NC) staging criteria were updated in 2023. We evaluated this updated staging using National Alzheimer's Coordinating Center data. METHODS We examined associations of LATE-NC stages with cognition and other neuropathologic changes (NCs), and with cognition while accounting for other NCs, using multilevel regression models. RESULTS Of 1352 participants, 502 (37%) had LATE-NC (23% stage 1a, 6% stage 1b, 58% stage 2, 13% stage 3). LATE-NC stages were associated with cognition, hippocampal sclerosis of aging (HS-A), Alzheimer's disease NC (ADNC), Lewy bodies (LBs), and hippocampal atrophy. While stage 1b was associated with cognition and HS-A consistent with other stages, it was not associated with ADNC or LBs. All LATE-NC stages remained significantly associated with worse cognition when accounting for other NCs. DISCUSSION The updated LATE-NC staging criteria capture variations in early TDP-43 pathology spread which are consequential for cognition and associations with other NCs. HIGHLIGHTS We applied the updated limbic-predominant age-related TAR DNA-binding protein of 43 kDa encephalopathy neuropathologic change (LATE-NC) staging criteria to data from the National Alzheimer's Coordinating Center. LATE-NC stage 1b was identified in 22% of participants with stage 1. In contrast to other LATE-NC stages, stage 1b was not associated with Alzheimer's disease neuropathologic change (ADNC) or Lewy bodies. Stages 1a and 1b were significantly associated with dementia and memory impairment. Stages 1b+ were more strongly tied to dementia than all other neuropathologic changes except high likelihood ADNC.
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Affiliation(s)
- Davis C Woodworth
- Department of Neurology, University of California, Irvine, California, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
| | - Katelynn M Nguyen
- Department of Neurology, University of California, Irvine, California, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
| | - Lorena Sordo
- Department of Neurology, University of California, Irvine, California, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, California, USA
| | - Kiana A Scambray
- Department of Neurology, University of California, Irvine, California, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
| | - Elizabeth Head
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, California, USA
| | - Claudia H Kawas
- Department of Neurology, University of California, Irvine, California, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
- Department of Neurobiology and Behavior, University of California, Irvine, California, USA
| | - María M Corrada
- Department of Neurology, University of California, Irvine, California, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
- Department of Epidemiology and Biostatistics, University of California, Irvine, California, USA
| | - Peter T Nelson
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, Kentucky, USA
| | - S Ahmad Sajjadi
- Department of Neurology, University of California, Irvine, California, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, California, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, California, USA
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Denning AE, Ittyerah R, Levorse LM, Sadeghpour N, Athalye C, Chung E, Ravikumar S, Dong M, Duong MT, Li Y, Ilesanmi A, Sreepada LP, Sabatini P, Lowe M, Bahena A, Zablah J, Spencer BE, Watanabe R, Kim B, Sørensen MH, Khandelwal P, Brown C, Hrybouski S, Xie SX, de Flores R, Robinson JL, Schuck T, Ohm DT, Arezoumandan S, Porta S, Detre JA, Insausti R, Wisse LEM, Das SR, Irwin DJ, Lee EB, Wolk DA, Yushkevich PA. Association of quantitative histopathology measurements with antemortem medial temporal lobe cortical thickness in the Alzheimer's disease continuum. Acta Neuropathol 2024; 148:37. [PMID: 39227502 PMCID: PMC11371872 DOI: 10.1007/s00401-024-02789-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 08/07/2024] [Accepted: 08/15/2024] [Indexed: 09/05/2024]
Abstract
The medial temporal lobe (MTL) is a hotspot for neuropathology, and measurements of MTL atrophy are often used as a biomarker for cognitive decline associated with neurodegenerative disease. Due to the aggregation of multiple proteinopathies in this region, the specific relationship of MTL atrophy to distinct neuropathologies is not well understood. Here, we develop two quantitative algorithms using deep learning to measure phosphorylated tau (p-tau) and TDP-43 (pTDP-43) pathology, which are both known to accumulate in the MTL and are associated with MTL neurodegeneration. We focus on these pathologies in the context of Alzheimer's disease (AD) and limbic predominant age-related TDP-43 encephalopathy (LATE) and apply our deep learning algorithms to distinct histology sections, on which MTL subregions were digitally annotated. We demonstrate that both quantitative pathology measures show high agreement with expert visual ratings of pathology and discriminate well between pathology stages. In 140 cases with antemortem MR imaging, we compare the association of semi-quantitative and quantitative postmortem measures of these pathologies in the hippocampus with in vivo structural measures of the MTL and its subregions. We find widespread associations of p-tau pathology with MTL subregional structural measures, whereas pTDP-43 pathology had more limited associations with the hippocampus and entorhinal cortex. Quantitative measurements of p-tau pathology resulted in a significantly better model of antemortem structural measures than semi-quantitative ratings and showed strong associations with cortical thickness and volume. By providing a more granular measure of pathology, the quantitative p-tau measures also showed a significant negative association with structure in a severe AD subgroup where semi-quantitative ratings displayed a ceiling effect. Our findings demonstrate the advantages of using quantitative neuropathology to understand the relationship of pathology to structure, particularly for p-tau, and motivate the use of quantitative pathology measurements in future studies.
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Affiliation(s)
- Amanda E Denning
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
| | - Ranjit Ittyerah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Lisa M Levorse
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Chinmayee Athalye
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Eunice Chung
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sadhana Ravikumar
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Mengjin Dong
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Michael Tran Duong
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Yue Li
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ademola Ilesanmi
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Lasya P Sreepada
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Philip Sabatini
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - MaKayla Lowe
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Alejandra Bahena
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Jamila Zablah
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Barbara E Spencer
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ryohei Watanabe
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Boram Kim
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Maja Højvang Sørensen
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Pulkit Khandelwal
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher Brown
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Sharon X Xie
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Robin de Flores
- UMR-S U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, INSERM, Caen-Normandie University, GIP Cyceron, Caen, France
| | - John L Robinson
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Theresa Schuck
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel T Ohm
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sanaz Arezoumandan
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sílvia Porta
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - John A Detre
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Ricardo Insausti
- Human Neuroanatomy Lab, University of Castilla La Mancha, Albacete, Spain
| | - Laura E M Wisse
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Sandhitsu R Das
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Neurodegenerative Disease Research, Institute On Aging, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul A Yushkevich
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
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Tazwar M, Evia AM, Ridwan AR, Leurgans SE, Bennett DA, Schneider JA, Arfanakis K. Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is associated with abnormalities in white matter structural integrity and connectivity: An ex-vivo diffusion MRI and pathology investigation. Neurobiol Aging 2024; 140:81-92. [PMID: 38744041 PMCID: PMC11182335 DOI: 10.1016/j.neurobiolaging.2024.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 04/04/2024] [Accepted: 04/04/2024] [Indexed: 05/16/2024]
Abstract
Limbic predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is common in older adults and is associated with neurodegeneration, cognitive decline and dementia. In this MRI and pathology investigation we tested the hypothesis that LATE-NC is associated with abnormalities in white matter structural integrity and connectivity of a network of brain regions typically harboring TDP-43 inclusions in LATE, referred to here as the "LATE-NC network". Ex-vivo diffusion MRI and detailed neuropathological data were collected on 184 community-based older adults. Linear regression revealed an independent association of higher LATE-NC stage with lower diffusion anisotropy in a set of white matter connections forming a pattern of connectivity that is consistent with the stereotypical spread of this pathology in the brain. Graph theory analysis revealed an association of higher LATE-NC stage with weaker integration and segregation in the LATE-NC network. Abnormalities were significant in stage 3, suggesting that they are detectable in later stages of the disease. Finally, LATE-NC network abnormalities were associated with faster cognitive decline, specifically in episodic and semantic memory.
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Affiliation(s)
- Mahir Tazwar
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Arnold M Evia
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Abdur Raquib Ridwan
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA.
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Javierre-Petit C, Kontzialis M, Leurgans SE, Bennett DA, Schneider JA, Arfanakis K. Quantitative assessment of enlarged perivascular spaces via deep-learning in community-based older adults reveals independent associations with vascular neuropathologies, vascular risk factors and cognition. Brain Commun 2024; 6:fcae252. [PMID: 39130513 PMCID: PMC11316207 DOI: 10.1093/braincomms/fcae252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 05/24/2024] [Accepted: 07/27/2024] [Indexed: 08/13/2024] Open
Abstract
Enlarged perivascular spaces (EPVS) are common in older adults, but their neuropathologic correlates are unclear mainly because most work to date has relied on visual rating scales and/or clinical cohorts. The present study first developed a deep-learning model for automatic segmentation, localization and quantification of EPVS in ex vivo brain MRI, and then used this model to investigate the neuropathologic, clinical and cognitive correlates of EPVS in 817 community-based older adults that underwent autopsy. The new method exhibited high sensitivity in detecting EPVS as small as 3 mm3, good segmentation accuracy and consistency. Most EPVS were located in the frontal lobe, but the highest density was observed in the basal ganglia. EPVS in the cerebrum and specifically in the frontal lobe were associated with infarcts independent of other neuropathologies, while temporal and occipital EPVS were associated with cerebral amyloid angiopathy. EPVS in most brain lobes were also associated with diabetes mellitus independently of neuropathologies, while basal ganglia EPVS were independently associated with hypertension, supporting the notion of independent pathways from diabetes and hypertension to EPVS. Finally, EPVS were associated with lower cognitive performance independently of neuropathologies and clinical variables, suggesting that EPVS represent additional abnormalities contributing to lower cognition.
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Affiliation(s)
- Carles Javierre-Petit
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
| | - Marinos Kontzialis
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL 60612, USA
| | - Sue E Leurgans
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - David A Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
| | - Julie A Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL 60612, USA
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL 60612, USA
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
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5
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Heywood A, Stocks J, Schneider JA, Arfanakis K, Bennett DA, Beg MF, Wang L. In vivo effect of LATE-NC on integrity of white matter connections to the hippocampus. Alzheimers Dement 2024; 20:4401-4410. [PMID: 38877688 PMCID: PMC11247713 DOI: 10.1002/alz.13808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/20/2024] [Accepted: 02/25/2024] [Indexed: 06/16/2024]
Abstract
INTRODUCTION TAR DNA-binding protein 43 (TDP-43) is a highly prevalent proteinopathy that is involved in neurodegenerative processes, including axonal damage. To date, no ante mortem biomarkers exist for TDP-43, and few studies have directly assessed its impact on neuroimaging measures utilizing pathologic quantification. METHODS Ante mortem diffusion-weighted images were obtained from community-dwelling older adults. Regression models calculated the relationship between post mortem TDP-43 burden and ante mortem fractional anisotropy (FA) within each voxel in connection with the hippocampus, controlling for coexisting Alzheimer's disease and demographics. RESULTS Results revealed a significant negative relationship (false discovery rate [FDR] corrected p < .05) between post mortem TDP-43 and ante mortem FA in one cluster within the left medial temporal lobe connecting to the parahippocampal cortex, entorhinal cortex, and cingulate, aligning with the ventral subdivision of the cingulum. FA within this cluster was associated with cognition. DISCUSSION Greater TDP-43 burden is associated with lower FA within the limbic system, which may contribute to impairment in learning and memory. HIGHLIGHTS Post mortem TDP-43 pathological burden is associated with reduced ante mortem fractional anisotropy. Reduced FA located in the parahippocampal portion of the cingulum. FA in this area was associated with reduced episodic and semantic memory. FA in this area was associated with increased inward hippocampal surface deformation.
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Affiliation(s)
- Ashley Heywood
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jane Stocks
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
- Department of Pathology, Rush University Medical Center, Chicago, Illinois, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Suite, Chicago, Illinois, USA
- Department of Diagnostic Radiology, Rush University Medical Center, Chicago, Illinois, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Mirza Faisal Beg
- Simon Fraser University, School of Engineering Science, 8888 University Drive, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Psychiatry and Behavioral Health, Ohio State University College of Medicine, Columbus, Ohio, USA
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Inui S, Kaneda D, Sakurai K, Morimoto S, Uchida Y, Abe O, Hashizume Y. The influence of limbic-predominant age-related TDP-43 encephalopathy on argyrophilic grain disease: A voxel-based morphometry analysis of pathologically confirmed cases. J Neurol Sci 2024; 457:122894. [PMID: 38266517 DOI: 10.1016/j.jns.2024.122894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/11/2024] [Accepted: 01/16/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND The influence of limbic-predominant age-related TAR DNA-binding protein of 43 kDa encephalopathy neuropathological change (LATE-NC) on structural alterations in argyrophilic grain disease (AGD) have not been documented. This study aimed to investigate the morphological impact of LATE-NC on AGD through voxel-based morphometry (VBM) technique. MATERIALS AND METHODS Fifteen individuals with pathologically verified AGD, comprising 6 with LATE-NC (comorbid AGD [cAGD]) and 9 without LATE-NC (pure AGD [pAGD]), along with 10 healthy controls (HC) were enrolled. Whole-brain 3D-T1-weighted images were captured and preprocessed utilizing the Computational Anatomy Toolbox 12. VBM was employed to compare gray matter volume among (i) pAGD and HC, (ii) cAGD and HC, and (iii) pAGD and cAGD. RESULTS In comparison to HC, the pAGD group exhibited slightly asymmetric gray matter volume loss, particularly in the ambient gyrus, amygdala, hippocampus, anterior cingulate gyrus, and insula. Alternatively, the cAGD group exhibited greater gray matter volume loss, with a predominant focus on the inferolateral regions encompassing the ambient gyrus, amygdala, hippocampus, and the inferior temporal area, including the anterior temporal pole. The atrophy of the bilateral anterior temporal pole and right inferior temporal gyrus persisted when contrasting the pAGD and cAGD groups. CONCLUSION Comorbidity with LATE-NC is linked to different atrophic distribution, particularly affecting the inferolateral regions in AGD. Consequently, the consideration of comorbid LATE-NC is crucial in individuals with AGD exhibiting more widespread temporal atrophy.
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Affiliation(s)
- Shohei Inui
- Department of Radiology, The University of Tokyo, Tokyo, Japan
| | - Daita Kaneda
- Choju Medical Institute, Fukushimura Hospital, Aichi, Japan
| | - Keita Sakurai
- Department of Radiology, National Center for Geriatrics and Gerontology, Aichi, Japan.
| | - Satoru Morimoto
- Department of Physiology, Keio University School of Medicine, Tokyo, Japan
| | - Yuto Uchida
- Department of Neurology, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Osamu Abe
- Department of Radiology, The University of Tokyo, Tokyo, Japan
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Wu KY, Lin KJ, Chen CH, Liu CY, Wu YM, Yen TC, Hsiao IT. Atrophy, hypometabolism and implication regarding pathology in late-life major depression with suspected non-alzheimer pathophysiology (SNAP). Biomed J 2023; 46:100589. [PMID: 36914051 PMCID: PMC10749882 DOI: 10.1016/j.bj.2023.03.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 07/16/2022] [Accepted: 03/08/2023] [Indexed: 03/13/2023] Open
Abstract
BACKGROUND A substantial proportion of individuals with late-life major depression could be classified as having a suspected non-Alzheimer disease pathophysiology (SNAP), as indicated by a negative test for the biomarker β-amyloid (Aβ-) but a positive test for neurodegeneration (ND+). This study investigated the clinical features, characteristic patterns of brain atrophy and hypometabolism, and implications regarding pathology in this population. METHODS Forty-six amyloid-negative patients with late-life major depressive disorder (MDD) patients, including 23 SNAP (Aβ-/ND+) and 23 Aβ-/ND- MDD subjects, and 22 Aβ-/ND-healthy control subjects were included in this study. Voxel-wise group comparisons between the SNAP MDD, Aβ-/ND- MDD and control subjects were performed, adjusting for age, gender and level of education. For exploratory comparisons, 8 Aβ+/ND- and 4 Aβ+/ND + MDD patients were included in the Supplementary Material. RESULTS The SNAP MDD patients had atrophy extending to regions outside the hippocampus, predominately in the medial temporal, dorsomedial and ventromedial prefrontal cortex; hypometabolism involving a large portion of the lateral and medial prefrontal cortex in addition to the bilateral temporal, parietal and precuneus cortex within typical Alzheimer disease regions were observed. Metabolism ratios of the inferior to the medial temporal lobe were significantly elevated in the SNAP MDD patients. We further discussed the implications with regards to underlying pathologies. CONCLUSION The present study demonstrated characteristic patterns of atrophy and hypometabolism in patients with late-life major depression with SNAP. Identifying individuals with SNAP MDD may provide insights into currently unspecified neurodegenerative processes. Future refinement of neurodegeneration biomarkers is essential in order to identify potential pathological correlates while in vivo reliable pathological biomarkers are not forthcoming.
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Affiliation(s)
- Kuan-Yi Wu
- Department of Psychiatry, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kun-Ju Lin
- Department of Nuclear Medicine and Center for Advanced Molecular Imaging and Translation, Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Imaging and Radiological Sciences and Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan; Neuroscience Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chia-Yih Liu
- Department of Psychiatry, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Ming Wu
- Department of Radiology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Tzu-Chen Yen
- Department of Nuclear Medicine and Center for Advanced Molecular Imaging and Translation, Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Imaging and Radiological Sciences and Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan; APRINOIA Therapeutics Inc., Taipei, Taiwan
| | - Ing-Tsung Hsiao
- Department of Nuclear Medicine and Center for Advanced Molecular Imaging and Translation, Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Imaging and Radiological Sciences and Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.
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Niedowicz DM, Katsumata Y, Nelson PT. In severe ADNC, hippocampi with comorbid LATE-NC and hippocampal sclerosis have substantially more astrocytosis than those with LATE-NC or hippocampal sclerosis alone. J Neuropathol Exp Neurol 2023; 82:987-994. [PMID: 37935530 PMCID: PMC10658353 DOI: 10.1093/jnen/nlad085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023] Open
Abstract
Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) and hippocampal sclerosis of aging (HS-A) pathologies are found together at autopsy in ∼20% of elderly demented persons. Although astrocytosis is known to occur in neurodegenerative diseases, it is currently unknown how the severity of astrocytosis is correlated with the common combinations of pathologies in aging brains. To address this knowledge gap, we analyzed a convenience sample of autopsied subjects from the University of Kentucky Alzheimer's Disease Research Center community-based autopsy cohort. The subjects were stratified into 5 groups (n = 51 total): pure ADNC, ADNC + LATE-NC, ADNC + HS-A, ADNC + LATE-NC + HS-A, and low-pathology controls. Following GFAP immunostaining and digital slide scanning with a ScanScope, we measured GFAP-immunoreactive astrocytosis. The severities of GFAP-immunoreactive astrocytosis in hippocampal subfield CA1 and subiculum were compared between groups. The group with ADNC + LATE-NC + HS-A had the most astrocytosis as operationalized by either any GFAP+ or strong GFAP+ immunoreactivity in both CA1 and subiculum. In comparison to that pathologic combination, ADNC + HS or ADNC + LATE-NC alone showed lower astrocytosis. Pure ADNC had only marginally increased astrocytosis in CA1 and subiculum, in comparison to low-pathology controls. We conclude that there appeared to be pathogenetic synergy such that ADNC + LATE-NC + HS-A cases had relatively high levels of astrocytosis in the hippocampal formation.
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Nikseresht G, Evia AM, Nag S, Leurgans SE, Capuano AW, Agam G, Barnes LL, Bennett DA, Schneider JA, Arfanakis K. Neuropathologic correlates of cerebral microbleeds in community-based older adults. Neurobiol Aging 2023; 129:89-98. [PMID: 37279617 PMCID: PMC10524842 DOI: 10.1016/j.neurobiolaging.2023.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 04/14/2023] [Accepted: 05/04/2023] [Indexed: 06/08/2023]
Abstract
Cerebral microbleeds (CMBs) appearing as hypointense foci on T2*-weighted magnetic resonance images are small hemorrhages that have been linked to cognitive decline and increased mortality. However, the neuropathologic correlates of CMBs in community-based older adults are poorly understood. The present study investigated the association of age-related neuropathologies with CMBs in community-based older adults. Cerebral hemispheres from 289 participants of the Rush Memory and Aging Project, Religious Orders Study, Minority Aging Research Study, and Rush Alzheimer's Disease Clinical Core underwent ex vivo MRI and detailed neuropathologic examination. Following Bonferroni correction, CMBs in the cerebrum overall and in the frontal lobe were associated with cerebral amyloid angiopathy, CMBs in the frontal lobe were also associated with arteriolosclerosis, and CMBs in the basal ganglia showed a borderline significant association with microinfarcts. These findings suggest that CMBs can aid in the prediction of small vessel disease in community-based older adults. Finally, CMBs were not associated with dementia, suggesting that CMBs in community-based older adults may not be linked to substantial cognitive impairment.
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Affiliation(s)
- Grant Nikseresht
- Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Arnold M Evia
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Sukriti Nag
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Gady Agam
- Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA.
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10
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Gibbons LE, Power MC, Walker RL, Kumar RG, Murphy A, Latimer CS, Nolan AL, Melief EJ, Beller A, Bogdani M, Keene CD, Larson EB, Crane PK, Dams-O’Connor K. Association of Traumatic Brain Injury with Late Life Neuropathological Outcomes in a Community-Based Cohort. J Alzheimers Dis 2023; 93:949-961. [PMID: 37125552 PMCID: PMC10860614 DOI: 10.3233/jad-221224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
BACKGROUND Prior studies into the association of head trauma with neuropathology have been limited by incomplete lifetime neurotrauma exposure characterization. OBJECTIVE To investigate the neuropathological sequelae of traumatic brain injury (TBI) in an autopsy sample using three sources of TBI ascertainment, weighting findings to reflect associations in the larger, community-based cohort. METHODS Self-reported head trauma with loss of consciousness (LOC) exposure was collected in biennial clinic visits from 780 older adults from the Adult Changes in Thought study who later died and donated their brain for research. Self-report data were supplemented with medical record abstraction, and, for 244 people, structured interviews on lifetime head trauma. Neuropathology outcomes included Braak stage, CERAD neuritic plaque density, Lewy body distribution, vascular pathology, hippocampal sclerosis, and cerebral/cortical atrophy. Exposures were TBI with or without LOC. Modified Poisson regressions adjusting for age, sex, education, and APOE ɛ4 genotype were weighted back to the full cohort of 5,546 participants. RESULTS TBI with LOC was associated with the presence of cerebral cortical atrophy (Relative Risk 1.22, 95% CI 1.02, 1.42). None of the other outcomes was associated with TBI with or without LOC. CONCLUSION TBI with LOC was associated with increased risk of cerebral cortical atrophy. Despite our enhanced TBI ascertainment, we found no association with the Alzheimer's disease-related neuropathologic outcomes among people who survived to at least age 65 without dementia. This suggests the pathophysiological processes underlying post-traumatic neurodegeneration are distinct from the hallmark pathologies of Alzheimer's disease.
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Affiliation(s)
- Laura E. Gibbons
- General Internal Medicine, School of Medicine, University of Washington, Seattle, WA, USA
| | - Melinda C. Power
- George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Rod L. Walker
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Raj G. Kumar
- Department of Rehabilitation and Human Performance, Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alia Murphy
- George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Caitlin S. Latimer
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Amber L. Nolan
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Erica J. Melief
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Allison Beller
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Marika Bogdani
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, USA
| | - C. Dirk Keene
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle, WA, USA
| | - Eric B. Larson
- General Internal Medicine, School of Medicine, University of Washington, Seattle, WA, USA
| | - Paul K. Crane
- General Internal Medicine, School of Medicine, University of Washington, Seattle, WA, USA
| | - Kristen Dams-O’Connor
- Department of Rehabilitation and Human Performance, Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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11
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Volumetric assessment and longitudinal changes of subcortical structures in formalinized Beagle brains. PLoS One 2022; 17:e0261484. [PMID: 36206292 PMCID: PMC9543981 DOI: 10.1371/journal.pone.0261484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 08/02/2022] [Indexed: 11/07/2022] Open
Abstract
High field MRI is an advanced technique for diagnostic and research purposes on animal models, such as the Beagle dog. In this context, studies on neuroscience applications, e.g. aging and neuro-pathologies, are currently increasing. This led to a need for reference values, in terms of volumetric assessment, for the structures typically involved. Nowadays, several canine brain MRI atlases have been provided. However, no reports are available regarding the measurements’ reproducibility and little is known about the effect of formalin on MRI segmentation. Here, we assessed the segmentation variability of selected structures among operators (two operators segmented the same data) in a sample of 11 Beagle dogs. Then, we analyzed, for one Beagle dog, the longitudinal volumetric changes of these structures. We considered four conditions: in vivo, post mortem (after euthanasia), ex vivo (brain extracted and studied after 1 month in formalin, and after 12 months). The MRI data were collected with a 3 T scanner. Our findings suggest that the segmentation procedure was overall reproducible since only slight statistical differences were detected. In the post mortem/ ex vivo comparison, most structures showed a higher contrast, thereby leading to greater reproducibility between operators. We observed a net increase in the volume of the studied structures. This could be justified by the intrinsic relaxation time changes observed because of the formalin fixation. This led to an improvement in brain structure visualization and segmentation. To conclude, MRI-based segmentation seems to be a useful and accurate tool that allows longitudinal studies on formalin-fixed brains.
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12
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Tazwar M, Evia AM, Tamhane AA, Ridwan AR, Leurgans SE, Bennett DA, Schneider JA, Arfanakis K. Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is associated with lower R 2 relaxation rate: an ex-vivo MRI and pathology investigation. Neurobiol Aging 2022; 117:128-138. [PMID: 35728463 PMCID: PMC9667705 DOI: 10.1016/j.neurobiolaging.2022.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 05/04/2022] [Accepted: 05/23/2022] [Indexed: 11/16/2022]
Abstract
Limbic predominant age-related transactive response DNA binding protein 43 (TDP-43) encephalopathy neuropathological change (LATE-NC) is common in persons older than 80 years of age and is associated with cognitive decline and increased likelihood of dementia. The MRI signature of LATE-NC has not been fully determined. In this study, the association of LATE-NC with the transverse relaxation rate, R2, was investigated in a large number of community-based older adults. Cerebral hemispheres from 738 participants of the Rush Memory and Aging Project, Religious Orders Study, and Minority Aging Research Study, were imaged ex-vivo with multi-echo spin-echo MRI and underwent detailed neuropathologic examination. Voxel-wise analysis revealed a novel spatial pattern of lower R2 for higher LATE-NC stage, controlling for other neuropathologies and demographics. This pattern was consistent with the distribution of LATE-NC in gray matter, and also involved white matter providing temporo-temporal, fronto-temporal, and temporo-basal ganglia connectivity. Furthermore, analysis at different LATE-NC stages showed that R2 imaging may capture the general progression of LATE-NC, but only when TDP-43 inclusions extend beyond the amygdala.
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Affiliation(s)
- Mahir Tazwar
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Arnold M Evia
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Ashish A Tamhane
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Abdur Raquib Ridwan
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA.
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13
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Heywood A, Stocks J, Schneider JA, Arfanakis K, Bennett DA, Beg MF, Wang L. The unique effect of TDP-43 on hippocampal subfield morphometry and cognition. Neuroimage Clin 2022; 35:103125. [PMID: 36002965 PMCID: PMC9421500 DOI: 10.1016/j.nicl.2022.103125] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 01/18/2023]
Abstract
•We explored postmortem TDP-43 burden and antemortem hippocampal surface deformation. •TDP-43 was uniquely associated with inward deformation in the hippocampus. •Deformation patterns account for co-existing disease showing TDP-43′s unique effect. •Deformation was significantly correlated with cognition scores.
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Affiliation(s)
- Ashley Heywood
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Jane Stocks
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | | | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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14
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Leifeld J, Förster E, Reiss G, Hamad MIK. Considering the Role of Extracellular Matrix Molecules, in Particular Reelin, in Granule Cell Dispersion Related to Temporal Lobe Epilepsy. Front Cell Dev Biol 2022; 10:917575. [PMID: 35733853 PMCID: PMC9207388 DOI: 10.3389/fcell.2022.917575] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 05/23/2022] [Indexed: 11/13/2022] Open
Abstract
The extracellular matrix (ECM) of the nervous system can be considered as a dynamically adaptable compartment between neuronal cells, in particular neurons and glial cells, that participates in physiological functions of the nervous system. It is mainly composed of carbohydrates and proteins that are secreted by the different kinds of cell types found in the nervous system, in particular neurons and glial cells, but also other cell types, such as pericytes of capillaries, ependymocytes and meningeal cells. ECM molecules participate in developmental processes, synaptic plasticity, neurodegeneration and regenerative processes. As an example, the ECM of the hippocampal formation is involved in degenerative and adaptive processes related to epilepsy. The role of various components of the ECM has been explored extensively. In particular, the ECM protein reelin, well known for orchestrating the formation of neuronal layer formation in the cerebral cortex, is also considered as a player involved in the occurrence of postnatal granule cell dispersion (GCD), a morphologically peculiar feature frequently observed in hippocampal tissue from epileptic patients. Possible causes and consequences of GCD have been studied in various in vivo and in vitro models. The present review discusses different interpretations of GCD and different views on the role of ECM protein reelin in the formation of this morphological peculiarity.
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Affiliation(s)
- Jennifer Leifeld
- Department of Neuroanatomy and Molecular Brain Research, Medical Faculty, Ruhr University Bochum, Bochum, Germany
- Department of Biochemistry I—Receptor Biochemistry, Faculty of Chemistry and Biochemistry, Ruhr University Bochum, Bochum, Germany
- *Correspondence: Jennifer Leifeld, ; Eckart Förster,
| | - Eckart Förster
- Department of Neuroanatomy and Molecular Brain Research, Medical Faculty, Ruhr University Bochum, Bochum, Germany
- *Correspondence: Jennifer Leifeld, ; Eckart Förster,
| | - Gebhard Reiss
- Institute for Anatomy and Clinical Morphology, School of Medicine, Faculty of Health, Witten/ Herdecke University, Witten, Germany
| | - Mohammad I. K. Hamad
- Institute for Anatomy and Clinical Morphology, School of Medicine, Faculty of Health, Witten/ Herdecke University, Witten, Germany
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15
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Rieger AC, Silverman DHS. Is It Too Soon to Know When It's LATE? J Nucl Med 2022; 63:180-182. [PMID: 35101927 DOI: 10.2967/jnumed.121.263229] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 11/16/2021] [Indexed: 11/16/2022] Open
Affiliation(s)
- Angela C Rieger
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Daniel H S Silverman
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, Los Angeles, California
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16
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Arfanakis K, Evia AM, Leurgans SE, Cardoso LFC, Kulkarni A, Alqam N, Lopes LF, Vieira D, Bennett DA, Schneider JA. Neuropathologic Correlates of White Matter Hyperintensities in a Community-Based Cohort of Older Adults. J Alzheimers Dis 2021; 73:333-345. [PMID: 31771057 PMCID: PMC6996196 DOI: 10.3233/jad-190687] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND The association of white matter hyperintensities (WMH) with age-related vascular and neurodegenerative pathologies remains incompletely understood. OBJECTIVE The objective of this work was to elucidate the neuropathologic correlates of WMH in a large community-based cohort of older adults. METHODS Cerebral hemispheres from 603 community-based older adults were imaged with MRI ex vivo. All participants underwent annual clinical evaluation, cognitive assessment, and neuropathologic examination. WMH burden was assessed using a modified Fazekas rating scale. Multiple ordinal logistic regression was used to test the association of WMH burden with an array of age-related neuropathologies, adjusting for demographics. Mixed effects models of cognition controlling for neuropathologies and demographics were used to determine whether WMH burden contributes to cognitive decline beyond measured pathologies. RESULTS WMH burden in the whole group was associated with both vascular and Alzheimer's disease (AD) pathologies: arteriolosclerosis (p < 10-4), gross (p < 10-4), and microscopic infarcts (p = 0.04), and amyloid-β plaques (p = 0.028). In non-demented participants (mild or no cognitive impairment) (N = 332), WMH burden was related to gross infarcts (p = 10-4) and arteriolosclerosis (p < 10-4), but not to AD pathology. Similarly, in those with no cognitive impairment (N = 178), WMH burden was related to gross infarcts (p = 8×10-4) and arteriolosclerosis (p = 0.014). WMH burden was associated with faster decline in perceptual speed in both the whole (p = 0.038) and non-demented (p = 0.006) groups. CONCLUSION WMH burden has independent associations with vascular pathologies in older adults regardless of clinical status, and with AD pathology later in the progression of AD. Moreover, WMH burden may reflect additional tissue injury not captured with traditional neuropathologic indices.
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Affiliation(s)
- Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA.,Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Arnold M Evia
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Luis F C Cardoso
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Arman Kulkarni
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Nabil Alqam
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Lucas F Lopes
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Diego Vieira
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.,Department of Pathology, Rush University Medical Center, Chicago, IL, USA
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17
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Robinson JL, Porta S, Garrett FG, Zhang P, Xie SX, Suh E, Van Deerlin VM, Abner EL, Jicha GA, Barber JM, Lee VMY, Lee EB, Trojanowski JQ, Nelson PT. Limbic-predominant age-related TDP-43 encephalopathy differs from frontotemporal lobar degeneration. Brain 2021; 143:2844-2857. [PMID: 32830216 DOI: 10.1093/brain/awaa219] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 05/01/2020] [Accepted: 05/21/2020] [Indexed: 12/12/2022] Open
Abstract
TAR-DNA binding protein-43 (TDP-43) proteinopathy is seen in multiple brain diseases. A standardized terminology was recommended recently for common age-related TDP-43 proteinopathy: limbic-predominant, age-related TDP-43 encephalopathy (LATE) and the underlying neuropathological changes, LATE-NC. LATE-NC may be co-morbid with Alzheimer's disease neuropathological changes (ADNC). However, there currently are ill-defined diagnostic classification issues among LATE-NC, ADNC, and frontotemporal lobar degeneration with TDP-43 (FTLD-TDP). A practical challenge is that different autopsy cohorts are composed of disparate groups of research volunteers: hospital- and clinic-based cohorts are enriched for FTLD-TDP cases, whereas community-based cohorts have more LATE-NC cases. Neuropathological methods also differ across laboratories. Here, we combined both cases and neuropathologists' diagnoses from two research centres-University of Pennsylvania and University of Kentucky. The study was designed to compare neuropathological findings between FTLD-TDP and pathologically severe LATE-NC. First, cases were selected from the University of Pennsylvania with pathological diagnoses of either FTLD-TDP (n = 33) or severe LATE-NC (mostly stage 3) with co-morbid ADNC (n = 30). Sections from these University of Pennsylvania cases were cut from amygdala, anterior cingulate, superior/mid-temporal, and middle frontal gyrus. These sections were stained for phospho-TDP-43 immunohistochemically and evaluated independently by two University of Kentucky neuropathologists blinded to case data. A simple set of criteria hypothesized to differentiate FTLD-TDP from LATE-NC was generated based on density of TDP-43 immunoreactive neuronal cytoplasmic inclusions in the neocortical regions. Criteria-based sensitivity and specificity of differentiating severe LATE-NC from FTLD-TDP cases with blind evaluation was ∼90%. Another proposed neuropathological feature related to TDP-43 proteinopathy in aged individuals is 'Alpha' versus 'Beta' in amygdala. Alpha and Beta status was diagnosed by neuropathologists from both universities (n = 5 raters). There was poor inter-rater reliability of Alpha/Beta classification (mean κ = 0.31). We next tested a separate cohort of cases from University of Kentucky with either FTLD-TDP (n = 8) or with relatively 'pure' severe LATE-NC (lacking intermediate or severe ADNC; n = 14). The simple criteria were applied by neuropathologists blinded to the prior diagnoses at University of Pennsylvania. Again, the criteria for differentiating LATE-NC from FTLD-TDP was effective, with sensitivity and specificity ∼90%. If more representative cases from each cohort (including less severe TDP-43 proteinopathy) had been included, the overall accuracy for identifying LATE-NC was estimated at >98% for both cohorts. Also across both cohorts, cases with FTLD-TDP died younger than those with LATE-NC (P < 0.0001). We conclude that in most cases, severe LATE-NC and FTLD-TDP can be differentiated by applying simple neuropathological criteria.
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Affiliation(s)
- John L Robinson
- Alzheimer's Disease Core Center, University of Pennsyvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, University of Pennsyvania, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, University of Pennsyvania, Philadelphia, PA, USA
| | - Sílvia Porta
- Alzheimer's Disease Core Center, University of Pennsyvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, University of Pennsyvania, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, University of Pennsyvania, Philadelphia, PA, USA
| | - Filip G Garrett
- Department of Pathology, University of Kentucky, Lexington, KY, USA
| | - Panpan Zhang
- Alzheimer's Disease Core Center, University of Pennsyvania, Philadelphia, PA, USA.,Department of Biostatistics, Epidemiology and Informatics, University of Pennsyvania, Philadelphia, PA, USA
| | - Sharon X Xie
- Alzheimer's Disease Core Center, University of Pennsyvania, Philadelphia, PA, USA.,Department of Biostatistics, Epidemiology and Informatics, University of Pennsyvania, Philadelphia, PA, USA
| | - EunRan Suh
- Alzheimer's Disease Core Center, University of Pennsyvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, University of Pennsyvania, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, University of Pennsyvania, Philadelphia, PA, USA
| | - Vivianna M Van Deerlin
- Alzheimer's Disease Core Center, University of Pennsyvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, University of Pennsyvania, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, University of Pennsyvania, Philadelphia, PA, USA
| | - Erin L Abner
- Department of Epidemiology, University of Kentucky, Lexington, KY, USA.,Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Gregory A Jicha
- Department of Neurology, University of Kentucky, Lexington, KY, USA.,Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Justin M Barber
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Virginia M-Y Lee
- Alzheimer's Disease Core Center, University of Pennsyvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, University of Pennsyvania, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, University of Pennsyvania, Philadelphia, PA, USA
| | - Edward B Lee
- Alzheimer's Disease Core Center, University of Pennsyvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, University of Pennsyvania, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, University of Pennsyvania, Philadelphia, PA, USA
| | - John Q Trojanowski
- Alzheimer's Disease Core Center, University of Pennsyvania, Philadelphia, PA, USA.,Center for Neurodegenerative Disease Research, University of Pennsyvania, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, University of Pennsyvania, Philadelphia, PA, USA
| | - Peter T Nelson
- Department of Pathology, University of Kentucky, Lexington, KY, USA.,Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
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18
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Javierre-Petit C, Schneider JA, Kapasi A, Makkinejad N, Tamhane AA, Leurgans SE, Mehta RI, Barnes LL, Bennett DA, Arfanakis K. Neuropathologic and Cognitive Correlates of Enlarged Perivascular Spaces in a Community-Based Cohort of Older Adults. Stroke 2020; 51:2825-2833. [PMID: 32757750 PMCID: PMC7484322 DOI: 10.1161/strokeaha.120.029388] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND PURPOSE Enlarged perivascular spaces (EPVS) have been associated with aging, increased stroke risk, decreased cognitive function, and vascular dementia. However, the relationship of EPVS with age-related neuropathologies is not well understood. Therefore, the purpose of this study was to assess the neuropathologic correlates of EPVS in a large community-based cohort of older adults. The cognitive correlates of EPVS over and beyond those of other pathologies were also assessed. METHODS This study included 654 older deceased and autopsied participants of 3 longitudinal community-based studies of aging that had available data on cognition, ex vivo brain magnetic resonance imaging, and detailed neuropathologic examination. EPVS seen on ex vivo magnetic resonance imaging were histologically validated. Experienced observers rated EPVS burden in ex vivo magnetic resonance imaging using a semiquantitative 4-level scale. Elastic-net regularized ordinal logistic regression was used to investigate associations of EPVS burden with age-related neuropathologies. Mixed-effects models of cognition controlling for neuropathologies, demographics, and clinical factors, were used to determine whether EPVS burden has additional contributions to cognitive decline. RESULTS EPVS burden in the whole group was associated with gross infarcts (odds ratio=1.67, P=0.0017) and diabetes mellitus (odds ratio=1.73, P=0.004). When considering only nondemented participants (with mild or no cognitive impairment), EPVS burden was associated with gross infarcts (odds ratio=1.74, P=0.016) and microscopic infarcts (odds ratio=1.79, P=0.013). EPVS burden was associated with faster decline in visuospatial abilities (estimate=-0.009, P=0.028), in the whole group, as well as lower levels of semantic memory (estimate=-0.13, P=0.048) and visuospatial abilities (estimate=-0.11, P=0.016) at the time of death. CONCLUSIONS EPVS and infarcts may share similar neurobiological pathways regardless of dementia status. EPVS burden is linked to diabetes mellitus independently of neuropathologies, extending recent findings in animal studies implicating diabetes mellitus in impairment of the glymphatic system. Finally, EPVS burden may reflect additional brain tissue injury that may contribute to cognitive decline, not captured with traditional neuropathologic measures.
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Affiliation(s)
- Carles Javierre-Petit
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago (C.J.P., N.M., K.A.)
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Alifiya Kapasi
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Nazanin Makkinejad
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago (C.J.P., N.M., K.A.)
| | - Ashish A Tamhane
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Rupal I Mehta
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago (C.J.P., N.M., K.A.).,Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL (J.A.S., A.K., A.A.T., S.E.L., R.I.M., L.L.B., D.A.B., K.A.)
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Novel Alzheimer's disease subtypes identified using a data and knowledge driven strategy. Sci Rep 2020; 10:1327. [PMID: 31992745 PMCID: PMC6987140 DOI: 10.1038/s41598-020-57785-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 12/16/2019] [Indexed: 01/08/2023] Open
Abstract
The population of adults with Alzheimer’s disease (AD) varies in needs and outcomes. The heterogeneity of current AD diagnostic subgroups impedes the use of data analytics in clinical trial design and translation of findings into improved care. The purpose of this project was to define more clinically-homogeneous groups of AD patients and link clinical characteristics with biological markers. We used an innovative big data analysis strategy, the 3C strategy, that incorporates medical knowledge into the data analysis process. A large set of preprocessed AD Neuroimaging Initiative (ADNI) data was analyzed with 3C. The data analysis yielded 6 new disease subtypes, which differ from the assigned diagnosis types and present different patterns of clinical measures and potential biomarkers. Two of the subtypes, “Anosognosia dementia” and “Insightful dementia”, differentiate between severe participants based on clinical characteristics and biomarkers. The “Uncompensated mild cognitive impairment (MCI)” subtype, demonstrates clinical, demographic and imaging differences from the “Affective MCI” subtype. Differences were also observed between the “Worried Well” and “Healthy” clusters. The use of data-driven analysis yielded sub-phenotypic clinical clusters that go beyond current diagnoses and are associated with biomarkers. Such homogenous sub-groups can potentially form the basis for enhancement of brain medicine research.
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20
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Gaiteri C, Dawe R, Mostafavi S, Blizinsky KD, Tasaki S, Komashko V, Yu L, Wang Y, Schneider JA, Arfanakis K, De Jager PL, Bennett DA. Gene expression and DNA methylation are extensively coordinated with MRI-based brain microstructural characteristics. Brain Imaging Behav 2020; 13:963-972. [PMID: 29934819 PMCID: PMC6309607 DOI: 10.1007/s11682-018-9910-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Cognitive function relies on both molecular levels and cellular structures. However, systematic relationships between these two components of cognitive function, and their joint contribution to disease, are largely unknown. We utilize postmortem neuroimaging in tandem with gene expression and DNA methylation, from 222 deeply-phenotyped persons in a longitudinal aging cohort. Expression of hundreds of genes and methylation at thousands of loci are related to the microstructure of extensive regions of this same set of brains, as assessed by MRI. The genes linked to brain microstructure perform functions related to cell motility, transcriptional regulation and nuclear processes, and are selectively associated with Alzheimer’s phenotypes. Similar methodology can be applied to other diseases to identify their joint molecular and structural basis, or to infer molecular levels in the brain on the basis of neuroimaging for precision medicine applications.
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Affiliation(s)
- Chris Gaiteri
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
| | - Robert Dawe
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Sara Mostafavi
- Department of Statistics, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
| | - Katherine D Blizinsky
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,National Institutes of Health, National Human Genome Research Institute, Bethesda, MD, USA
| | - Shinya Tasaki
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Vitalina Komashko
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Yanling Wang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.,Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA.,Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Philip L De Jager
- Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
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21
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Dawe RJ, Yu L, Arfanakis K, Schneider JA, Bennett DA, Boyle PA. Late-life cognitive decline is associated with hippocampal volume, above and beyond its associations with traditional neuropathologic indices. Alzheimers Dement 2020; 16:209-218. [PMID: 31914231 PMCID: PMC6953608 DOI: 10.1002/alz.12009] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 07/12/2019] [Accepted: 11/01/2019] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Reduced hippocampal volume is associated with late-life cognitive decline, but prior studies have not determined whether this association persists after accounting for Alzheimer's disease (AD) and other neuropathologies. METHODS Participants were 531 deceased older adults from community-based cohort studies of aging who had undergone annual cognitive evaluations. At death, brain tissue underwent neuropathologic examination and magnetic resonance imaging (MRI). Linear mixed models examined whether hippocampal volume measured via MRI accounted for variation in decline rate of global cognition and five cognitive domains, above and beyond neuropathologic indices. RESULTS Demographics and indices of AD, cerebrovascular disease, Lewy body disease, hippocampal sclerosis, TDP-43, and atherosclerosis accounted for 42.6% of the variation in global cognitive decline. Hippocampal volume accounted for an additional 5.4% of this variation and made similar contributions in four of the five cognitive domains. DISCUSSION Hippocampal volume is associated with late-life cognitive decline, above and beyond contributions from common neuropathologic indices.
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Affiliation(s)
- Robert J. Dawe
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Lei Yu
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Patricia A. Boyle
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
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22
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Yu L, Boyle PA, Dawe RJ, Bennett DA, Arfanakis K, Schneider JA. Contribution of TDP and hippocampal sclerosis to hippocampal volume loss in older-old persons. Neurology 2019; 94:e142-e152. [PMID: 31757868 DOI: 10.1212/wnl.0000000000008679] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 07/10/2019] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To investigate the contribution of Alzheimer disease (AD) vs non-AD neuropathologies to hippocampal atrophy. METHODS The Religious Orders Study and Rush Memory and Aging Project are clinicopathologic cohort studies of aging. The current study included 547 participants who had undergone brain autopsy and postmortem hippocampal volume measurement by November 1, 2018. Hippocampal volume was measured with postmortem MRI via a 3D region of interest applied to the hippocampal formation. Neuropathologies were measured via uniform structured evaluations. Linear regression analyses estimated the proportion of variance of hippocampal volume attributable to AD and non-AD neuropathologies. RESULTS The average age at death was 90 years, and the average hippocampal volume was 2.1 mL. AD, transactive response DNA-binding protein 43 (TDP), hippocampal sclerosis (HS), and atherosclerosis were associated with hippocampal volume. After demographics and total hemisphere volume were controlled for, 7.0% of the variance (95% bootstrapped confidence interval [CI] 4.3%-10.5%) of hippocampal volume was attributable to AD pathology. TDP/HS explained an additional 4.5% (95% CI 2.2%-7.6%). Among individuals with Alzheimer dementia (n = 232), 3.1% (95% CI 0.6%-7.7%) of the variance was attributable to AD pathology, and TDP/HS explained an additional 6.1% (95% CI 2.2%-11.6%). Among those without Alzheimer dementia (n = 307), 3.2% (95% CI 0.9%-7.3%) of the variance was attributable to AD pathology, and TDP/HS explained an additional 1.1%, which did not reach statistical significance. Lewy bodies and vascular diseases had modest contribution to the variance of hippocampal volume. CONCLUSIONS Both AD and TDP/HS contribute to hippocampal volume loss in older-old persons, with TDP/HS more strongly associated with hippocampal volume than AD in Alzheimer dementia.
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Affiliation(s)
- Lei Yu
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago.
| | - Patricia A Boyle
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Robert J Dawe
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - David A Bennett
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Konstantinos Arfanakis
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Julie A Schneider
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
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23
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Bejanin A, Murray ME, Martin P, Botha H, Tosakulwong N, Schwarz CG, Senjem ML, Chételat G, Kantarci K, Jack CR, Boeve BF, Knopman DS, Petersen RC, Giannini C, Parisi JE, Dickson DW, Whitwell JL, Josephs KA. Antemortem volume loss mirrors TDP-43 staging in older adults with non-frontotemporal lobar degeneration. Brain 2019; 142:3621-3635. [PMID: 31562527 PMCID: PMC6821218 DOI: 10.1093/brain/awz277] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 06/26/2019] [Accepted: 07/15/2019] [Indexed: 12/13/2022] Open
Abstract
Over the past decade, the transactive response DNA-binding protein of 43 kDa (TDP-43) has been recognized as a major protein in normal and pathological ageing, increasing the risk of cognitive impairment and dementia. In conditions distinct from the frontotemporal lobar degenerations, TDP-43 appears to progress in a stereotypical pattern. In the present study, we aimed at providing a better understanding of the effects of TDP-43 and other age-related neuropathologies on cross-sectional grey matter volume in a cohort of non-FTLD subjects. We included 407 individuals with an antemortem MRI and post-mortem brain tissue from the Mayo Clinic Alzheimer's Disease Research Center, Mayo Clinic Alzheimer's Disease Patient Registry, or the Mayo Clinic Study of Aging. All individuals were assigned pathological stages for TDP-43, tau, amyloid-β, Lewy bodies, argyrophilic grain disease and vascular pathologies. Robust regressions were performed in regions of interest and voxel-wise to explore the relationships between TDP-43 stages and grey matter volume while controlling for other pathologies. Grey matter volumes adjusted for pathological and demographic variables were also computed for each TDP-43-positive case to further characterize the sequential involvement of brain structures associated with TDP-43, irrespective of the TDP-43 staging scheme. Robust regressions showed that the extent of TDP-43 pathology was associated with the extent of grey matter atrophy. Specifically, we found that the volume in medial temporal regions (i.e. amygdala, entorhinal cortex, hippocampus) decreased progressively with advancing TDP-43 stages. Importantly, these effects were of similar magnitude to those related to tau stages. Additional analyses using adjusted grey matter volume demonstrated a sequential pattern of volume loss associated with TDP-43, starting within the medial temporal lobe, followed by early involvement of the temporal pole, and eventually encompassing additional temporal and frontal regions. Altogether, this study demonstrates the major and independent contribution of TDP-43 pathology on neurodegeneration and provides further insight into the regional distribution of TDP-43 in non-FTLD subjects. Along with previous studies, these findings emphasized the importance of targeting TDP-43 in future clinical trials to prevent its detrimental effect on grey matter volume and, eventually, cognition.
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Affiliation(s)
- Alexandre Bejanin
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Inserm, Inserm UMR-S U1237, Université de Caen-Normandie, GIP Cyceron, Caen, France
| | | | - Peter Martin
- Health Science Research, Mayo Clinic, Rochester, MN, USA
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Gael Chételat
- Inserm, Inserm UMR-S U1237, Université de Caen-Normandie, GIP Cyceron, Caen, France
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Caterina Giannini
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Joseph E Parisi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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24
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Abstract
BACKGROUND Understanding contributions of different brain pathologies to domain-specific cognitive trajectories in the oldest old is crucial to guide future intervention studies. METHODS Two-hundred-twenty Oregon Alzheimer's Disease Center research participants who were cognitively intact at entry were followed on average for 7.3 years with annual neuropsychological testing until death (mean age, 93.7 y) and autopsy. Mixed effects models examined the relationship between trajectories in memory, verbal fluency, and mini-mental state examination (MMSE) and pathology (neurofibrillary tangles, neuritic plaques, gross infarcts, hippocampal sclerosis, Lewy bodies, APOE genotype, age at death, and years of education). The association between the MMSE trajectory and pathologic variables were examined using a Poisson model with MMSE errors as outcomes given the nonlinear distribution of MMSE scores. RESULTS Memory trajectory was associated with the APOε4 allele (P=0.006). Verbal fluency trajectory was associated with gross infarcts (P=0.008). MMSE trajectory was associated with high Braak scores (P=0.03), gross infarcts (P<0.0001), hippocampal sclerosis (P=0.003), moderate neuritic plaques (P=0.04), and the APOε4 allele (P=0.02). CONCLUSIONS The association between trajectory of decline in global cognitive scores and multiple brain pathologies highlights the importance of accounting for comorbid pathologies in therapeutic trials aimed at one specific pathology in the oldest old. Only the APOε4 allele showed an association with memory decline, despite accounting for Alzheimer's disease pathology, suggesting that APOE may be involved in mechanisms beyond amyloid metabolism in its role in memory. Further studies are needed to examine the role of APOE in brain aging.
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25
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Nelson PT, Dickson DW, Trojanowski JQ, Jack CR, Boyle PA, Arfanakis K, Rademakers R, Alafuzoff I, Attems J, Brayne C, Coyle-Gilchrist ITS, Chui HC, Fardo DW, Flanagan ME, Halliday G, Hokkanen SRK, Hunter S, Jicha GA, Katsumata Y, Kawas CH, Keene CD, Kovacs GG, Kukull WA, Levey AI, Makkinejad N, Montine TJ, Murayama S, Murray ME, Nag S, Rissman RA, Seeley WW, Sperling RA, White III CL, Yu L, Schneider JA. Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain 2019; 142:1503-1527. [PMID: 31039256 PMCID: PMC6536849 DOI: 10.1093/brain/awz099] [Citation(s) in RCA: 851] [Impact Index Per Article: 170.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 02/10/2019] [Accepted: 02/25/2019] [Indexed: 12/18/2022] Open
Abstract
We describe a recently recognized disease entity, limbic-predominant age-related TDP-43 encephalopathy (LATE). LATE neuropathological change (LATE-NC) is defined by a stereotypical TDP-43 proteinopathy in older adults, with or without coexisting hippocampal sclerosis pathology. LATE-NC is a common TDP-43 proteinopathy, associated with an amnestic dementia syndrome that mimicked Alzheimer's-type dementia in retrospective autopsy studies. LATE is distinguished from frontotemporal lobar degeneration with TDP-43 pathology based on its epidemiology (LATE generally affects older subjects), and relatively restricted neuroanatomical distribution of TDP-43 proteinopathy. In community-based autopsy cohorts, ∼25% of brains had sufficient burden of LATE-NC to be associated with discernible cognitive impairment. Many subjects with LATE-NC have comorbid brain pathologies, often including amyloid-β plaques and tauopathy. Given that the 'oldest-old' are at greatest risk for LATE-NC, and subjects of advanced age constitute a rapidly growing demographic group in many countries, LATE has an expanding but under-recognized impact on public health. For these reasons, a working group was convened to develop diagnostic criteria for LATE, aiming both to stimulate research and to promote awareness of this pathway to dementia. We report consensus-based recommendations including guidelines for diagnosis and staging of LATE-NC. For routine autopsy workup of LATE-NC, an anatomically-based preliminary staging scheme is proposed with TDP-43 immunohistochemistry on tissue from three brain areas, reflecting a hierarchical pattern of brain involvement: amygdala, hippocampus, and middle frontal gyrus. LATE-NC appears to affect the medial temporal lobe structures preferentially, but other areas also are impacted. Neuroimaging studies demonstrated that subjects with LATE-NC also had atrophy in the medial temporal lobes, frontal cortex, and other brain regions. Genetic studies have thus far indicated five genes with risk alleles for LATE-NC: GRN, TMEM106B, ABCC9, KCNMB2, and APOE. The discovery of these genetic risk variants indicate that LATE shares pathogenetic mechanisms with both frontotemporal lobar degeneration and Alzheimer's disease, but also suggests disease-specific underlying mechanisms. Large gaps remain in our understanding of LATE. For advances in prevention, diagnosis, and treatment, there is an urgent need for research focused on LATE, including in vitro and animal models. An obstacle to clinical progress is lack of diagnostic tools, such as biofluid or neuroimaging biomarkers, for ante-mortem detection of LATE. Development of a disease biomarker would augment observational studies seeking to further define the risk factors, natural history, and clinical features of LATE, as well as eventual subject recruitment for targeted therapies in clinical trials.
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Affiliation(s)
| | | | | | | | | | - Konstantinos Arfanakis
- Rush University Medical Center, Chicago, IL, USA
- Illinois Institute of Technology, Chicago, IL, USA
| | | | | | | | | | | | - Helena C Chui
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Glenda Halliday
- The University of Sydney Brain and Mind Centre and Central Clinical School Faculty of Medicine and Health, Sydney, Australia
| | | | | | | | | | | | | | - Gabor G Kovacs
- Institute of Neurology Medical University of Vienna, Vienna, Austria
| | | | | | | | | | - Shigeo Murayama
- Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | | | - Sukriti Nag
- Rush University Medical Center, Chicago, IL, USA
| | | | | | | | | | - Lei Yu
- Rush University Medical Center, Chicago, IL, USA
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26
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Makkinejad N, Schneider JA, Yu J, Leurgans SE, Kotrotsou A, Evia AM, Bennett DA, Arfanakis K. Associations of amygdala volume and shape with transactive response DNA-binding protein 43 (TDP-43) pathology in a community cohort of older adults. Neurobiol Aging 2019; 77:104-111. [PMID: 30784812 PMCID: PMC6486844 DOI: 10.1016/j.neurobiolaging.2019.01.022] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 01/18/2019] [Accepted: 01/21/2019] [Indexed: 01/17/2023]
Abstract
Transactive response DNA-binding protein 43 (TDP-43) pathology is common in old age and is strongly associated with cognitive decline and dementia above and beyond contributions from other neuropathologies. TDP-43 pathology in aging typically originates in the amygdala, a brain region also affected by other age-related neuropathologies such as Alzheimer's pathology. The purpose of this study was two-fold: to determine the independent effects of TDP-43 pathology on the volume, as well as shape, of the amygdala in a community cohort of older adults, and to determine the contribution of amygdala volume to the variance of the rate of cognitive decline after accounting for the contributions of neuropathologies and demographics. Cerebral hemispheres from 198 participants of the Rush Memory and Aging Project and the Religious Orders Study were imaged with MRI ex vivo and underwent neuropathologic examination. Measures of amygdala volume and shape were extracted for all participants. Regression models controlling for neuropathologies and demographics showed an independent negative association of TDP-43 with the volume of the amygdala. Shape analysis revealed a unique pattern of amygdala deformation associated with TDP-43 pathology. Finally, mixed-effects models showed that amygdala volume explained an additional portion of the variance of the rate of decline in global cognition, episodic memory, semantic memory, and perceptual speed, above and beyond what was explained by demographics and neuropathologies.
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Affiliation(s)
- Nazanin Makkinejad
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Pathology, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Junxiao Yu
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Aikaterini Kotrotsou
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Arnold M Evia
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, USA.
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27
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Hanko V, Apple AC, Alpert KI, Warren KN, Schneider JA, Arfanakis K, Bennett DA, Wang L. In vivo hippocampal subfield shape related to TDP-43, amyloid beta, and tau pathologies. Neurobiol Aging 2019; 74:171-181. [PMID: 30453234 PMCID: PMC6331233 DOI: 10.1016/j.neurobiolaging.2018.10.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 09/14/2018] [Accepted: 10/10/2018] [Indexed: 12/31/2022]
Abstract
Despite advances in the development of biomarkers for Alzheimer's disease (AD), accurate ante-mortem diagnosis remains challenging because a variety of neuropathologic disease states can coexist and contribute to the AD dementia syndrome. Here, we report a neuroimaging study correlating hippocampal deformity with regional AD and transactive response DNA-binding protein of 43 kDA pathology burden. We used hippocampal shape analysis of ante-mortem T1-weighted structural magnetic resonance imaging images of 42 participants from two longitudinal cohort studies conducted by the Rush Alzheimer's Disease Center. Surfaces were generated for the whole hippocampus and zones approximating the underlying subfields using a previously developed automated image-segmentation pipeline. Multiple linear regression models were constructed to correlate the shape with pathology measures while accounting for covariates, with relationships mapped out onto hippocampal surface locations. A significant relationship existed between higher paired helical filaments-tau burden and inward hippocampal shape deformity in zones approximating CA1 and subiculum which persisted after accounting for coexisting pathologies. No significant patterns of inward surface deformity were associated with amyloid-beta or transactive response DNA-binding protein of 43 kDA after including covariates. Our findings indicate that hippocampal shape deformity measures in surface zones approximating CA1 may represent a biomarker for postmortem AD pathology.
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Affiliation(s)
- Veronika Hanko
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alexandra C Apple
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kristen N Warren
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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A nonhuman primate model of early Alzheimer's disease pathologic change: Implications for disease pathogenesis. Alzheimers Dement 2018; 15:93-105. [PMID: 30467082 PMCID: PMC6383152 DOI: 10.1016/j.jalz.2018.06.3057] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 06/18/2018] [Accepted: 06/28/2018] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Nonhuman primates may serve as excellent models of sporadic age-associated brain β-amyloid deposition and Alzheimer's disease pathologic changes. We examined whether a vervet nonhuman primate model recapitulated pathologic, physiologic, and behavioral features of early Alzheimer's disease. METHODS Nine middle-aged (mean = 11.2 years) and nine aged (mean = 21.7 years) female vervet/African green monkeys underwent cerebrospinal fluid collection, gait speed measurement, and neuroimaging before neuropathologic assessment. RESULTS β-amyloid plaques were identified in all aged vervets and paired helical filament tau immunoreactivity was observed in all animals. Cerebrospinal fluid β-amyloid42 and gait speed correlated negatively with age and plaque density. Greater plaque and paired helical filament tau burden predicted reduced volumes and CMRg in several brain regions. DISCUSSION We observed a coordinated set of relationships among neuropathologic, cerebrospinal fluid, imaging, and behavioral modalities consistent with early Alzheimer's disease. Our results support future use of the vervet model to explore disease mechanisms, biomarkers, and novel therapeutic strategies.
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Wang R, Laveskog A, Laukka EJ, Kalpouzos G, Bäckman L, Fratiglioni L, Qiu C. MRI load of cerebral microvascular lesions and neurodegeneration, cognitive decline, and dementia. Neurology 2018; 91:e1487-e1497. [PMID: 30232255 PMCID: PMC6202944 DOI: 10.1212/wnl.0000000000006355] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 07/12/2018] [Indexed: 12/03/2022] Open
Abstract
Objective To explore the differential associations of neurodegeneration and microvascular lesion load with cognitive decline and dementia in older people and the modifying effect of the APOE genotype on these associations. Methods A sample of 436 participants (age ≥ 60 years) was derived from the population-based Swedish National study on Aging and Care in Kungsholmen, Stockholm, and clinically examined at baseline (2001–2003) and 3 occasions during the 9-year follow-up. At baseline, we assessed microvascular lesion load using a summary score for MRI markers of lacunes, white matter hyperintensities (WMHs), and perivascular spaces and neurodegeneration load for markers of enlarged ventricles, smaller hippocampus, and smaller gray matter. We assessed cognitive function using the Mini-Mental State Examination (MMSE) test and diagnosed dementia following the Diagnostic and Statistical Manual of Mental Disorders, 4th edition criteria. We analyzed data using linear mixed-effects, mediation, and random-effects Cox models. Results During the follow-up, 46 participants were diagnosed with dementia. Per 1-point increase in microvascular lesion and neurodegeneration score (range 0–3) was associated with multiple adjusted β-coefficients of −0.35 (95% confidence interval, −0.51 to −0.20) and −0.44 (−0.56 to −0.32), respectively, for the MMSE score and multiple adjusted hazard ratios of 1.68 (1.12–2.51) and 2.35 (1.58–3.52), respectively, for dementia; carrying APOE ε4 reinforced the associations with MMSE decline. WMH volume changes during the follow-up mediated 66.9% and 12.7% of the total association of MMSE decline with the baseline microvascular score and neurodegeneration score, respectively. Conclusions Both cerebral microvascular lesion and neurodegeneration loads are strongly associated with cognitive decline and dementia. The cognitive decline due to microvascular lesions is exacerbated by APOE ε4 and is largely attributed to progression and development of microvascular lesions.
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Affiliation(s)
- Rui Wang
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden.
| | - Anna Laveskog
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden
| | - Erika J Laukka
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden
| | - Grégoria Kalpouzos
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden
| | - Lars Bäckman
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden
| | - Laura Fratiglioni
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden
| | - Chengxuan Qiu
- From the Department of Neurobiology (R.W., E.J.L., G.K., L.B., L.F., C.Q.), Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University; Division of Radiology (A.L.), Department of Clinical Science, Intervention and Technology, Karolinska University Hospital at Huddinge; Department of Neuroradiology (A.L.), Karolinska University Hospital, Stockholm; and Stockholm Gerontology Research Center (L.F.), Stockholm, Sweden.
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Buchman AS, Dawe RJ, Yu L, Lim A, Wilson RS, Schneider JA, Bennett DA. Brain pathology is related to total daily physical activity in older adults. Neurology 2018; 90:e1911-e1919. [PMID: 29695600 PMCID: PMC5962918 DOI: 10.1212/wnl.0000000000005552] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 03/05/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To test the hypothesis that brain pathology is associated with total daily physical activity proximate to death in older adults. METHODS We studied brain autopsies from 428 decedents of the Rush Memory and Aging Project. The quantity of all physical activity was measured continuously for up to 10 days with actigraphy (Actical; Philips Healthcare, Bend, OR). Multiple regression analyses controlling for age and sex were used to examine the relation of brain indexes to total daily physical activity and other clinical covariates proximate to death. RESULTS Average total daily activity was 1.53 × 105 counts/d (SD 1.14 × 105 counts/d), and mean age at death was 90.6 (SD 6.12) years. Nigral neuronal loss (estimate -0.232, standard error [SE] = 0.070, p = 0.001) and macroinfarcts (estimate -0.266, SE 0.112, p = 0.017) were independently associated with total daily physical activity proximate to death, accounting for an additional 2.4% of the variance of total daily activity. Other postmortem indexes (Alzheimer disease, Lewy bodies, TAR DNA-binding protein 43, hippocampal sclerosis, microinfarcts, atherosclerosis, arteriolosclerosis, and cerebral amyloid angiopathy) were not associated with total daily activity. In 295 cases (70%), we derived a measure of white matter tissue integrity from postmortem brain MRI. This metric accounted for an additional 5.8% of the variance of total daily physical activity when controlling for age, sex, nigral neuronal loss, and macroinfarcts. CONCLUSION Macroinfarcts, nigral neuronal loss, and white matter pathologies are related to total daily physical activity in older adults, but further studies are needed to explain its pathologic basis more fully.
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Affiliation(s)
- Aron S Buchman
- From the Rush Alzheimer's Disease Center (A.S.B., R.J.D., L.Y., R.S.W., J.A.S., D.A.B.), Department of Neurological Sciences (A.S.B., L.Y., R.S.W., J.A.S., D.A.B.), Department of Radiology (R.J.D.), Department of Psychology (R.S.W.), and Department of Pathology (Neuropathology) (J.A.S.), Rush University Medical Center Chicago, IL; and Department of Neurology (A.L.), University of Toronto, Ontario, Canada.
| | - Robert J Dawe
- From the Rush Alzheimer's Disease Center (A.S.B., R.J.D., L.Y., R.S.W., J.A.S., D.A.B.), Department of Neurological Sciences (A.S.B., L.Y., R.S.W., J.A.S., D.A.B.), Department of Radiology (R.J.D.), Department of Psychology (R.S.W.), and Department of Pathology (Neuropathology) (J.A.S.), Rush University Medical Center Chicago, IL; and Department of Neurology (A.L.), University of Toronto, Ontario, Canada
| | - Lei Yu
- From the Rush Alzheimer's Disease Center (A.S.B., R.J.D., L.Y., R.S.W., J.A.S., D.A.B.), Department of Neurological Sciences (A.S.B., L.Y., R.S.W., J.A.S., D.A.B.), Department of Radiology (R.J.D.), Department of Psychology (R.S.W.), and Department of Pathology (Neuropathology) (J.A.S.), Rush University Medical Center Chicago, IL; and Department of Neurology (A.L.), University of Toronto, Ontario, Canada
| | - Andrew Lim
- From the Rush Alzheimer's Disease Center (A.S.B., R.J.D., L.Y., R.S.W., J.A.S., D.A.B.), Department of Neurological Sciences (A.S.B., L.Y., R.S.W., J.A.S., D.A.B.), Department of Radiology (R.J.D.), Department of Psychology (R.S.W.), and Department of Pathology (Neuropathology) (J.A.S.), Rush University Medical Center Chicago, IL; and Department of Neurology (A.L.), University of Toronto, Ontario, Canada
| | - Robert S Wilson
- From the Rush Alzheimer's Disease Center (A.S.B., R.J.D., L.Y., R.S.W., J.A.S., D.A.B.), Department of Neurological Sciences (A.S.B., L.Y., R.S.W., J.A.S., D.A.B.), Department of Radiology (R.J.D.), Department of Psychology (R.S.W.), and Department of Pathology (Neuropathology) (J.A.S.), Rush University Medical Center Chicago, IL; and Department of Neurology (A.L.), University of Toronto, Ontario, Canada
| | - Julie A Schneider
- From the Rush Alzheimer's Disease Center (A.S.B., R.J.D., L.Y., R.S.W., J.A.S., D.A.B.), Department of Neurological Sciences (A.S.B., L.Y., R.S.W., J.A.S., D.A.B.), Department of Radiology (R.J.D.), Department of Psychology (R.S.W.), and Department of Pathology (Neuropathology) (J.A.S.), Rush University Medical Center Chicago, IL; and Department of Neurology (A.L.), University of Toronto, Ontario, Canada
| | - David A Bennett
- From the Rush Alzheimer's Disease Center (A.S.B., R.J.D., L.Y., R.S.W., J.A.S., D.A.B.), Department of Neurological Sciences (A.S.B., L.Y., R.S.W., J.A.S., D.A.B.), Department of Radiology (R.J.D.), Department of Psychology (R.S.W.), and Department of Pathology (Neuropathology) (J.A.S.), Rush University Medical Center Chicago, IL; and Department of Neurology (A.L.), University of Toronto, Ontario, Canada
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Bennett DA, Buchman AS, Boyle PA, Barnes LL, Wilson RS, Schneider JA. Religious Orders Study and Rush Memory and Aging Project. J Alzheimers Dis 2018; 64:S161-S189. [PMID: 29865057 PMCID: PMC6380522 DOI: 10.3233/jad-179939] [Citation(s) in RCA: 696] [Impact Index Per Article: 116.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The Religious Orders Study and Rush Memory and Aging Project are both ongoing longitudinal clinical-pathologic cohort studies of aging and Alzheimer's disease (AD). OBJECTIVES To summarize progress over the past five years and its implications for understanding neurodegenerative diseases. METHODS Participants in both studies are older adults who enroll without dementia and agree to detailed longitudinal clinical evaluations and organ donation. The last review summarized findings through the end of 2011. Here we summarize progress and study findings over the past five years and discuss new directions for how these studies can inform on aging and AD in the future. RESULTS We summarize 1) findings on the relation of neurobiology to clinical AD; 2) neurobiologic pathways linking risk factors to clinical AD; 3) non-cognitive AD phenotypes including motor function and decision making; 4) the development of a novel drug discovery platform. CONCLUSION Complexity at multiple levels needs to be understood and overcome to develop effective treatments and preventions for cognitive decline and AD dementia.
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Affiliation(s)
- David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL., USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL., USA
| | - Aron S. Buchman
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL., USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL., USA
| | - Patricia A. Boyle
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL., USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL., USA
| | - Lisa L. Barnes
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL., USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL., USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL., USA
| | - Robert S. Wilson
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL., USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL., USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL., USA
| | - Julie A Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL., USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL., USA
- Department of Pathology (Neuropathology), Rush University Medical Center, Chicago, IL., USA
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Ex-vivo quantitative susceptibility mapping of human brain hemispheres. PLoS One 2017; 12:e0188395. [PMID: 29261693 PMCID: PMC5737971 DOI: 10.1371/journal.pone.0188395] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 10/18/2017] [Indexed: 12/30/2022] Open
Abstract
Ex-vivo brain quantitative susceptibility mapping (QSM) allows investigation of brain characteristics at essentially the same point in time as histopathologic examination, and therefore has the potential to become an important tool for determining the role of QSM as a diagnostic and monitoring tool of age-related neuropathologies. In order to be able to translate the ex-vivo QSM findings to in-vivo, it is crucial to understand the effects of death and chemical fixation on brain magnetic susceptibility measurements collected ex-vivo. Thus, the objective of this work was twofold: a) to assess the behavior of magnetic susceptibility in both gray and white matter of human brain hemispheres as a function of time postmortem, and b) to establish the relationship between in-vivo and ex-vivo gray matter susceptibility measurements on the same hemispheres. Five brain hemispheres from community-dwelling older adults were imaged ex-vivo with QSM on a weekly basis for six weeks postmortem, and the longitudinal behavior of ex-vivo magnetic susceptibility in both gray and white matter was assessed. The relationship between in-vivo and ex-vivo gray matter susceptibility measurements was investigated using QSM data from eleven older adults imaged both antemortem and postmortem. No systematic change in ex-vivo magnetic susceptibility of gray or white matter was observed over time postmortem. Additionally, it was demonstrated that, gray matter magnetic susceptibility measured ex-vivo may be well modeled as a linear function of susceptibility measured in-vivo. In conclusion, magnetic susceptibility in gray and white matter measured ex-vivo with QSM does not systematically change in the first six weeks after death. This information is important for future cross-sectional ex-vivo QSM studies of hemispheres imaged at different postmortem intervals. Furthermore, the linear relationship between in-vivo and ex-vivo gray matter magnetic susceptibility suggests that ex-vivo QSM captures information linked to antemortem gray matter magnetic susceptibility, which is important for translation of ex-vivo QSM findings to in-vivo.
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Smith VD, Bachstetter AD, Ighodaro E, Roberts K, Abner EL, Fardo DW, Nelson PT. Overlapping but distinct TDP-43 and tau pathologic patterns in aged hippocampi. Brain Pathol 2017; 28:264-273. [PMID: 28281308 DOI: 10.1111/bpa.12505] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 03/06/2017] [Indexed: 01/06/2023] Open
Abstract
Intracellular proteinaceous aggregates (inclusion bodies) are almost always detectable at autopsy in brains of elderly individuals. Inclusion bodies composed of TDP-43 and tau proteins often coexist in the same brain, and each of these pathologic biomarkers is associated independently with cognitive impairment. However, uncertainties remain about how the presence and neuroanatomical distribution of inclusion bodies correlate with underlying diseases including Alzheimer's disease (AD). To address this knowledge gap, we analyzed data from the University of Kentucky AD Center autopsy series (n = 247); none of the brains had frontotemporal lobar degeneration. A specific question for this study was whether neurofibrillary tangle (NFT) pathology outside of the Braak NFT staging scheme is characteristic of brains with TDP-43 pathology but lacking AD, that is those with cerebral age-related TDP-43 with sclerosis (CARTS). We also tested whether TDP-43 pathology is associated with comorbid AD pathology, and whether argyrophilic grains are relatively likely to be present in cases with, vs. without, TDP-43 pathology. Consistent with prior studies, hippocampal TDP-43 pathology was associated with advanced AD - Braak NFT stages V/VI. However, argyrophilic grain pathology was not more common in cases with TDP-43 pathology in this data set. In brains with CARTS (TDP-43[+]/AD[-] cases), there were more NFTs in dentate granule neurons than were seen in TDP-43[-]/AD[-] cases. These dentate granule cell NFTs could provide a proxy indicator of CARTS pathology in cases lacking substantial AD pathology. Immunofluorescent experiments in a subsample of cases found that, in both advanced AD and CARTS, approximately 1% of dentate granule neurons were PHF-1 immunopositive, whereas ∼25% of TDP-43 positive cells showed colocalized PHF-1 immunoreactivity. We conclude that NFTs in hippocampal dentate granule neurons are often present in CARTS, and TDP-43 pathology may be secondary to or occurring in parallel with tauopathy.
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Affiliation(s)
- Vanessa D Smith
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY
| | - Adam D Bachstetter
- Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY.,Department of Neuroscience, University of Kentucky, Lexington, KY
| | - Eseosa Ighodaro
- Department of Neuroscience, University of Kentucky, Lexington, KY.,Sanders Brown Center on Aging, University of Kentucky, Lexington, KY
| | - Kelly Roberts
- Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, KY
| | - Erin L Abner
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY.,Department of Epidemiology, University of Kentucky, Lexington, KY
| | - David W Fardo
- Department of Biostatistics, University of Kentucky, Lexington, KY
| | - Peter T Nelson
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY.,Department of Neuroscience, University of Kentucky, Lexington, KY.,Sanders Brown Center on Aging, University of Kentucky, Lexington, KY
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Nho K, Saykin AJ, Nelson PT. Hippocampal Sclerosis of Aging, a Common Alzheimer's Disease 'Mimic': Risk Genotypes are Associated with Brain Atrophy Outside the Temporal Lobe. J Alzheimers Dis 2017; 52:373-83. [PMID: 27003218 DOI: 10.3233/jad-160077] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Hippocampal sclerosis of aging (HS-Aging) is a common brain disease in older adults with a clinical course that is similar to Alzheimer's disease. Four single-nucleotide polymorphisms (SNPs) have previously shown association with HS-Aging. The present study investigated structural brain changes associated with these SNPs using surface-based analysis. Participants from the Alzheimer's Disease Neuroimaging Initiative cohort (ADNI; n = 1,239), with both MRI scans and genotype data, were used to assess the association between brain atrophy and previously identified HS-Aging risk SNPs in the following genes: GRN, TMEM106B, ABCC9, and KCNMB2 (minor allele frequency for each is >30%). A fifth SNP (near the ABCC9 gene) was evaluated in post-hoc analysis. The GRN risk SNP (rs5848_T) was associated with a pattern of atrophy in the dorsomedial frontal lobes bilaterally, remarkable since GRN is a risk factor for frontotemporal dementia. The ABCC9 risk SNP (rs704180_A) was associated with multifocal atrophy whereas a SNP (rs7488080_A) nearby (∼50 kb upstream) ABCC9 was associated with atrophy in the right entorhinal cortex. Neither TMEM106B (rs1990622_T), KCNMB2 (rs9637454_A), nor any of the non-risk alleles were associated with brain atrophy. When all four previously identified HS-Aging risk SNPs were summed into a polygenic risk score, there was a pattern of associated multifocal brain atrophy in a predominately frontal pattern. We conclude that common SNPs previously linked to HS-Aging pathology were associated with a distinct pattern of anterior cortical atrophy. Genetic variation associated with HS-Aging pathology may represent a non-Alzheimer's disease contribution to atrophy outside of the hippocampus in older adults.
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Affiliation(s)
- Kwangsik Nho
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.,Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA.,Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Andrew J Saykin
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.,Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.,Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA.,Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Peter T Nelson
- University of Kentucky, Sanders-Brown Center on Aging and Pathology Department, University of Kentucky, Lexington, KY, USA
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Dickerson BC, Brickhouse M, McGinnis S, Wolk DA. Alzheimer's disease: The influence of age on clinical heterogeneity through the human brain connectome. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2016; 6:122-135. [PMID: 28239637 PMCID: PMC5318292 DOI: 10.1016/j.dadm.2016.12.007] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
INTRODUCTION One major factor that influences the heterogeneity of Alzheimer's disease (AD) is age: younger AD patients more frequently exhibit atypical forms of AD. We propose that this age-related heterogeneity can be understood better by considering age-related differences in atrophy in the context of large-scale brain networks subserving cognitive functions that contribute to memory. METHODS We examined data from 75 patients with mild AD dementia from Alzheimer's Disease Neuroimaging Initiative. These individuals were chosen because they have cerebrospinal fluid amyloid and p-tau levels in the range suggesting the presence of AD neuropathology, and because they were either younger than age 65 years early-onset AD (EOAD) or age 80 years or older late-onset AD (LOAD). RESULTS In the EOAD group, the most prominent atrophy was present in the posterior cingulate cortex, whereas in the LOAD group, atrophy was most prominent in the medial temporal lobe. Structural covariance analysis showed that the magnitude of atrophy in these epicenters is strongly correlated with a distributed atrophy pattern similar to distinct intrinsic connectivity networks in the healthy brain. An examination of memory performance in EOAD dementia versus LOAD dementia demonstrated relatively more prominent impairment in encoding in the EOAD group than in the LOAD group, with similar performance in memory storage in LOAD and EOAD but greater impairment in semantic memory in LOAD than in EOAD. DISCUSSION The observations provide novel insights about age as a major factor contributing to the heterogeneity in the topography of AD-related cortical atrophy.
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Affiliation(s)
- Bradford C Dickerson
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Michael Brickhouse
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Scott McGinnis
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - David A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
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Nelson PT, Katsumata Y, Nho K, Artiushin SC, Jicha GA, Wang WX, Abner EL, Saykin AJ, Kukull WA, Fardo DW. Genomics and CSF analyses implicate thyroid hormone in hippocampal sclerosis of aging. Acta Neuropathol 2016; 132:841-858. [PMID: 27815632 DOI: 10.1007/s00401-016-1641-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 10/28/2016] [Accepted: 10/28/2016] [Indexed: 11/29/2022]
Abstract
We report evidence of a novel pathogenetic mechanism in which thyroid hormone dysregulation contributes to dementia in elderly persons. Two single nucleotide polymorphisms (SNPs) on chromosome 12p12 were the initial foci of our study: rs704180 and rs73069071. These SNPs were identified by separate research groups as risk alleles for non-Alzheimer's neurodegeneration. We found that the rs73069071 risk genotype was associated with hippocampal sclerosis (HS) pathology among people with the rs704180 risk genotype (National Alzheimer's Coordinating Center/Alzheimer's Disease Genetic Consortium data; n = 2113, including 241 autopsy-confirmed HS cases). Furthermore, both rs704180 and rs73069071 risk genotypes were associated with widespread brain atrophy visualized by MRI (Alzheimer's Disease Neuroimaging Initiative data; n = 1239). In human brain samples from the Braineac database, both rs704180 and rs73069071 risk genotypes were associated with variation in expression of ABCC9, a gene which encodes a metabolic sensor protein in astrocytes. The rs73069071 risk genotype was also associated with altered expression of a nearby astrocyte-expressed gene, SLCO1C1. Analyses of human brain gene expression databases indicated that the chromosome 12p12 locus may regulate particular astrocyte-expressed genes induced by the active form of thyroid hormone, triiodothyronine (T3). This is informative biologically, because the SLCO1C1 protein transports thyroid hormone into astrocytes from blood. Guided by the genomic data, we tested the hypothesis that altered thyroid hormone levels could be detected in cerebrospinal fluid (CSF) obtained from persons with HS pathology. Total T3 levels in CSF were elevated in HS cases (p < 0.04 in two separately analyzed groups), but not in Alzheimer's disease cases, relative to controls. No change was detected in the serum levels of thyroid hormone (T3 or T4) in a subsample of HS cases prior to death. We conclude that brain thyroid hormone perturbation is a potential pathogenetic factor in HS that may also provide the basis for a novel CSF-based clinical biomarker.
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Pistollato F, Sumalla Cano S, Elio I, Masias Vergara M, Giampieri F, Battino M. Associations between Sleep, Cortisol Regulation, and Diet: Possible Implications for the Risk of Alzheimer Disease. Adv Nutr 2016; 7:679-89. [PMID: 27422503 PMCID: PMC4942871 DOI: 10.3945/an.115.011775] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Accumulation of proteinaceous amyloid β plaques and tau oligomers may occur several years before the onset of Alzheimer disease (AD). Under normal circumstances, misfolded proteins get cleared by proteasome degradation, autophagy, and the recently discovered brain glymphatic system, an astroglial-mediated interstitial fluid bulk flow. It has been shown that the activity of the glymphatic system is higher during sleep and disengaged or low during wakefulness. As a consequence, poor sleep quality, which is associated with dementia, might negatively affect glymphatic system activity, thus contributing to amyloid accumulation. The diet is another important factor to consider in the regulation of this complex network. Diets characterized by high intakes of refined sugars, salt, animal-derived proteins and fats and by low intakes of fruit and vegetables are associated with a higher risk of AD and can perturb the circadian modulation of cortisol secretion, which is associated with poor sleep quality. For this reason, diets and nutritional interventions aimed at restoring cortisol concentrations may ease sleep disorders and may facilitate brain clearance, consequentially reducing the risk of cognitive impairment and dementia. Here, we describe the associations that exist between sleep, cortisol regulation, and diet and their possible implications for the risk of cognitive impairment and AD.
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Affiliation(s)
- Francesca Pistollato
- Center for Nutrition and Health, European University of the Atlantic (UEA), Santander, Spain
| | - Sandra Sumalla Cano
- Center for Nutrition and Health, European University of the Atlantic (UEA), Santander, Spain;,International Ibero-American University (UNINI), Campeche, Mexico;,Ibero-American University Foundation (FUNIBER), Barcelona, Spain
| | - Iñaki Elio
- Center for Nutrition and Health, European University of the Atlantic (UEA), Santander, Spain;,International Ibero-American University (UNINI), Campeche, Mexico;,Ibero-American University Foundation (FUNIBER), Barcelona, Spain
| | - Manuel Masias Vergara
- Center for Nutrition and Health, European University of the Atlantic (UEA), Santander, Spain;,International Ibero-American University (UNINI), Puerto Rico; and
| | - Francesca Giampieri
- Center for Nutrition and Health, European University of the Atlantic (UEA), Santander, Spain; Department of Specialized Clinical Sciences and Dentistry, Marche Polytechnic University, Ancona, Italy
| | - Maurizio Battino
- Center for Nutrition and Health, European University of the Atlantic (UEA), Santander, Spain; Department of Specialized Clinical Sciences and Dentistry, Marche Polytechnic University, Ancona, Italy
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Nelson PT, Trojanowski JQ, Abner EL, Al-Janabi OM, Jicha GA, Schmitt FA, Smith CD, Fardo DW, Wang WX, Kryscio RJ, Neltner JH, Kukull WA, Cykowski MD, Van Eldik LJ, Ighodaro ET. "New Old Pathologies": AD, PART, and Cerebral Age-Related TDP-43 With Sclerosis (CARTS). J Neuropathol Exp Neurol 2016; 75:482-98. [PMID: 27209644 PMCID: PMC6366658 DOI: 10.1093/jnen/nlw033] [Citation(s) in RCA: 117] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Indexed: 12/12/2022] Open
Abstract
The pathology-based classification of Alzheimer's disease (AD) and other neurodegenerative diseases is a work in progress that is important for both clinicians and basic scientists. Analyses of large autopsy series, biomarker studies, and genomics analyses have provided important insights about AD and shed light on previously unrecognized conditions, enabling a deeper understanding of neurodegenerative diseases in general. After demonstrating the importance of correct disease classification for AD and primary age-related tauopathy, we emphasize the public health impact of an underappreciated AD "mimic," which has been termed "hippocampal sclerosis of aging" or "hippocampal sclerosis dementia." This pathology affects >20% of individuals older than 85 years and is strongly associated with cognitive impairment. In this review, we provide an overview of current hypotheses about how genetic risk factors (GRN, TMEM106B, ABCC9, and KCNMB2), and other pathogenetic influences contribute to TDP-43 pathology and hippocampal sclerosis. Because hippocampal sclerosis of aging affects the "oldest-old" with arteriolosclerosis and TDP-43 pathologies that extend well beyond the hippocampus, more appropriate terminology for this disease is required. We recommend "cerebral age-related TDP-43 and sclerosis" (CARTS). A detailed case report is presented, which includes neuroimaging and longitudinal neurocognitive data. Finally, we suggest a neuropathology-based diagnostic rubric for CARTS.
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Affiliation(s)
- Peter T Nelson
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC).
| | - John Q Trojanowski
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Erin L Abner
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Omar M Al-Janabi
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Gregory A Jicha
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Frederick A Schmitt
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Charles D Smith
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - David W Fardo
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Wang-Xia Wang
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Richard J Kryscio
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Janna H Neltner
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Walter A Kukull
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Matthew D Cykowski
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Linda J Van Eldik
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
| | - Eseosa T Ighodaro
- From the Department of Pathology, Division of Neuropathology (PTN, JHN), Department of Neurology (GAJ, FAS, CDS), Department of Statistics (DWF, RJK), Department of Anatomy and Neurobiology (PTN, JHN, LJVE, ETI), Department of Epidemiology (ELA), and Sanders-Brown Center on Aging (PTN, ELA, OMA-J, GAJ, FAS, CDS, DWF, WXW, RJK, LJVE, ETI), University of Kentucky, Lexington, Kentucky; Department of Pathology & Laboratory Medicine and Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, Pennsylvannia (JQT); Department of Epidemiology, University of Washington, Seattle, Washington (WAK); and Department of Pathology, Houston Methodist Hospital, Houston, Texas (MDC)
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Kapasi A, Schneider JA. Vascular contributions to cognitive impairment, clinical Alzheimer's disease, and dementia in older persons. BIOCHIMICA ET BIOPHYSICA ACTA 2016; 1862:878-86. [PMID: 26769363 PMCID: PMC11062590 DOI: 10.1016/j.bbadis.2015.12.023] [Citation(s) in RCA: 115] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 12/29/2015] [Accepted: 12/29/2015] [Indexed: 12/27/2022]
Abstract
There is growing evidence suggesting that vascular pathologies and dysfunction play a critical role in cognitive impairment, clinical Alzheimer's disease, and dementia. Vascular pathologies such as macroinfarcts, microinfarcts, microbleeds, small and large vessel cerebrovascular disease, and white matter disease are common especially in the brains of older persons where they contribute to cognitive impairment and lower the dementia threshold. Vascular dysfunction resulting in decreased cerebral blood flow, and abnormalities in the blood brain barrier may also contribute to the Alzheimer's disease (AD) pathophysiologic process and AD dementia. This review provides a clinical-pathological perspective on the role of vessel disease, vascular brain injury, alterations of the neurovascular unit, and mixed pathologies in the Alzheimer's disease pathophysiologic process and Alzheimer's dementia. This article is part of a Special Issue entitled: Vascular Contributions to Cognitive Impairment and Dementia edited by M. Paul Murphy, Roderick A. Corriveau and Donna M. Wilcock.
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Affiliation(s)
- A Kapasi
- Rush Alzheimer's Disease Center, Rush University Medical Center, 600 S. Paulina Street, IL 60612, Chicago, USA.
| | - J A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, 600 S. Paulina Street, IL 60612, Chicago, USA.
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Raman MR, Schwarz CG, Murray ME, Lowe VJ, Dickson DW, Jack CR, Kantarci K. An MRI-Based Atlas for Correlation of Imaging and Pathologic Findings in Alzheimer's Disease. J Neuroimaging 2016; 26:264-8. [PMID: 27017996 PMCID: PMC4848115 DOI: 10.1111/jon.12341] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Accepted: 02/01/2016] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND PURPOSE Pathologic diagnosis is the gold standard in evaluating imaging measures developed as biomarkers for pathologically defined disorders. A brain MRI atlas representing autopsy-sampled tissue can be used to directly compare imaging and pathology findings. Our objective was to develop a brain MRI atlas representing the cortical regions that are routinely sampled at autopsy for the diagnosis of Alzheimer's disease (AD). METHODS Subjects (n = 22; ages at death = 70-95) with a range of pathologies and antemortem 3T MRI were included. Histology slides from 8 cortical regions sampled from the left hemisphere at autopsy guided the localization of the atlas regions of interest (ROIs) on each subject's antemortem 3D T1 -weighted MRI. These ROIs were then registered to a common template and combined to form one ROI representing the volume of tissue that was sampled by the pathologists. A subset of the subjects (n = 4; ages at death = 79-95) had amyloid PET imaging. Density of β-amyloid immunostain was quantified from the autopsy-sampled regions in the 4 subjects using a custom-designed ImageScope algorithm. Median uptake values were calculated in each ROI on the amyloid-PET images. RESULTS We found an association between β-amyloid plaque density in 8 ROIs of the 4 subjects (total ROI n = 32) and median PiB SUVR (r(2) = .64; P < .0001). CONCLUSIONS In an atlas developed for imaging and pathologic correlation studies, we demonstrated that antemortem amyloid burden measured in the atlas ROIs on amyloid PET is strongly correlated with β-amyloid density measured on histology. This atlas can be used in imaging and pathologic correlation studies.
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Affiliation(s)
- Mekala R Raman
- Neurobiology of Disease Graduate Program, Mayo Graduate School, Rochester, MN.,Department of Neurology, Mayo Clinic, Rochester, MN
| | | | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN
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