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Almeida FC, Jesus T, Coelho A, Quintas-Neves M, Gauthreaux K, Teylan MA, Mock CN, Kukull WA, Crary JF, Oliveira TG. Psychosis in Alzheimer's disease is associated with specific changes in brain MRI volume, cognition and neuropathology. Neurobiol Aging 2024; 138:10-18. [PMID: 38471417 DOI: 10.1016/j.neurobiolaging.2024.02.013] [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: 10/19/2023] [Revised: 02/25/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024]
Abstract
Psychosis in Alzheimer's Disease (AD) is prevalent and indicates poor prognosis. However, the neuropathological, cognitive and brain atrophy patterns underlying these symptoms have not been fully elucidated. In this study, we evaluated 178 patients with AD neuropathological change (ADNC) and ante-mortem volumetric brain magnetic resonance imaging (MRI). Presence of psychosis was determined using the Neuropsychiatric Inventory Questionnaire. Clinical Dementia Rating Sum-of-boxes (CDR-SB) was longitudinally compared between groups with a follow-up of 3000 days using mixed-effects multiple linear regression. Neuropsychological tests closest to the time of MRI and brain regional volumes were cross-sectionally compared. Psychosis was associated with lower age of death, higher longitudinal CDR-SB scores, multi-domain cognitive deficits, higher neuritic plaque severity, Braak stage, Lewy Body pathology (LB) and right temporal lobe regional atrophy. Division according to the presence of LB showed differential patterns of AD-typical pathology, cognitive deficits and regional atrophy. In conclusion, psychosis in ADNC with and without LB has clinical value and associates with subgroup patterns of neuropathology, cognition and regional atrophy.
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Affiliation(s)
- Francisco C Almeida
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Department of Neuroradiology, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Tiago Jesus
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Center Algoritmi, LASI, University of Minho, Braga 4710-057, Portugal
| | - Ana Coelho
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal
| | - Miguel Quintas-Neves
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Department of Neuroradiology, Hospital de Braga, Braga, Portugal
| | - Kathryn Gauthreaux
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Merilee A Teylan
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Charles N Mock
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Walter A Kukull
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - John F Crary
- Neuropathology Brain Bank & Research Core, Department of Pathology, Nash Family Department of Neuroscience, Department of Artificial Intelligence & Human Health, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tiago Gil Oliveira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga, Guimarães, Portugal; Department of Neuroradiology, Hospital de Braga, Braga, Portugal.
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Wang Y, Zheng AN, Yang H, Wang Q, Dai B, Wang JJ, Wan YT, Liu ZB, Liu SY. Olfactory Three-Needle Electroacupuncture Improved Synaptic Plasticity and Gut Microbiota of SAMP8 Mice by Stimulating Olfactory Nerve. Chin J Integr Med 2023:10.1007/s11655-023-3614-3. [PMID: 37999886 DOI: 10.1007/s11655-023-3614-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/07/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVE To investigate the effects and mechanisms of olfactory three-needle (OTN) electroacupuncture (EA) stimulation of the olfactory system on cognitive dysfunction, synaptic plasticity, and the gut microbiota in senescence-accelerated mouse prone 8 (SAMP8) mice. METHODS Thirty-six SAMP8 mice were randomly divided into the SAMP8 (P8), SAMP8+OTN (P8-OT), and SAMP8+nerve transection+OTN (P8-N-OT) groups according to a random number table (n=12 per group), and 12 accelerated senescence-resistant (SAMR1) mice were used as the control (R1) group. EA was performed at the Yintang (GV 29) and bilateral Yingxiang (LI 20) acupoints of SAMP8 mice for 4 weeks. The Morris water maze test, transmission electron microscopy, terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) staining, Nissl staining, Golgi staining, Western blot, and 16S rRNA sequencing were performed, respectively. RESULTS Compared with the P8 group, OTN improved the cognitive behavior of SAMP8 mice, inhibited neuronal apoptosis, increased neuronal activity, and attenuated hippocampal synaptic dysfunction (P<0.05 or P<0.01). Moreover, the expression levels of synaptic plasticity-related proteins N-methyl-D-aspartate receptor 1 (NMDAR1), NMDAR2B, synaptophysin (SYN), and postsynaptic density protein-95 (PSD95) in hippocampus were increased by OTN treatment (P<0.05 or P<0.01). Furthermore, OTN greatly enhanced the brain-derived neurotrophic factor (BDNF)/cAMP-response element binding (CREB) signaling and phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR) signaling compared with the P8 group (P<0.05 or P<0.01). However, the neuroprotective effect of OTN was attenuated by olfactory nerve truncation. Compared with the P8 group, OTN had a very limited effect on the fecal microbial structure and composition of SAMP8 mice, while specifically increased the genera Oscillospira and Sutterella (P<0.05). Interestingly, the P8-N-OT group showed an abnormal fecal microbiota with higher microbial α-diversity, Firmicutes/Bacteroidetes ratio and pathogenic bacteria (P<0.05 or P<0.01). CONCLUSIONS OTN improved cognitive deficits and hippocampal synaptic plasticity by stimulating the olfactory nerve and activating the BDNF/CREB and PI3K/AKT/mTOR signaling pathways. Although the gut microbiota was not the main therapeutic target of OTN for Alzheimer's disease, the olfactory nerve was essential to maintain the homeostasis of gut microbiota.
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Affiliation(s)
- Yuan Wang
- College of Acu-moxibustion and Massage, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712046, China
- Shaanxi Key Laboratory of Acupuncture and Medicine, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712046, China
| | - A-Ni Zheng
- Shaanxi Key Laboratory of Acupuncture and Medicine, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712046, China
- The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712000, China
| | - Huan Yang
- Department of Traditional Chinese Medicine, Baotou Medical College, Baotou, Inner Mongolia Autonomous Region, 014040, China
| | - Qiang Wang
- College of Acu-moxibustion and Massage, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712046, China
- Shaanxi Key Laboratory of Acupuncture and Medicine, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712046, China
| | - Biao Dai
- College of Acu-moxibustion and Massage, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712046, China
| | - Jia-Ju Wang
- College of Acu-moxibustion and Massage, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712046, China
| | - Yi-Tong Wan
- College of Acu-moxibustion and Massage, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712046, China
| | - Zhi-Bin Liu
- College of Acu-moxibustion and Massage, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712046, China
- Shaanxi Key Laboratory of Acupuncture and Medicine, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi Province, 712046, China
| | - Si-Yang Liu
- School of Basic Medical Sciences, Xi'an Medical University, Xi'an, 710021, China.
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Wuestefeld A, Pichet Binette A, Berron D, Spotorno N, van Westen D, Stomrud E, Mattsson-Carlgren N, Strandberg O, Smith R, Palmqvist S, Glenn T, Moes S, Honer M, Arfanakis K, Barnes LL, Bennett DA, Schneider JA, Wisse LEM, Hansson O. Age-related and amyloid-beta-independent tau deposition and its downstream effects. Brain 2023; 146:3192-3205. [PMID: 37082959 PMCID: PMC10393402 DOI: 10.1093/brain/awad135] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/20/2023] [Accepted: 04/06/2023] [Indexed: 04/22/2023] Open
Abstract
Amyloid-β (Aβ) is hypothesized to facilitate the spread of tau pathology beyond the medial temporal lobe. However, there is evidence that, independently of Aβ, age-related tau pathology might be present outside of the medial temporal lobe. We therefore aimed to study age-related Aβ-independent tau deposition outside the medial temporal lobe in two large cohorts and to investigate potential downstream effects of this on cognition and structural measures. We included 545 cognitively unimpaired adults (40-92 years) from the BioFINDER-2 study (in vivo) and 639 (64-108 years) from the Rush Alzheimer's Disease Center cohorts (ex vivo). 18F-RO948- and 18F-flutemetamol-PET standardized uptake value ratios were calculated for regional tau and global/regional Aβ in vivo. Immunohistochemistry was used to estimate Aβ load and tangle density ex vivo. In vivo medial temporal lobe volumes (subiculum, cornu ammonis 1) and cortical thickness (entorhinal cortex, Brodmann area 35) were obtained using Automated Segmentation for Hippocampal Subfields packages. Thickness of early and late neocortical Alzheimer's disease regions was determined using FreeSurfer. Global cognition and episodic memory were estimated to quantify cognitive functioning. In vivo age-related tau deposition was observed in the medial temporal lobe and in frontal and parietal cortical regions, which was statistically significant when adjusting for Aβ. This was also observed in individuals with low Aβ load. Tau deposition was negatively associated with cortical volumes and thickness in temporal and parietal regions independently of Aβ. The associations between age and cortical volume or thickness were partially mediated via tau in regions with early Alzheimer's disease pathology, i.e. early tau and/or Aβ pathology (subiculum/Brodmann area 35/precuneus/posterior cingulate). Finally, the associations between age and cognition were partially mediated via tau in Brodmann area 35, even when including Aβ-PET as covariate. Results were validated in the ex vivo cohort showing age-related and Aβ-independent increases in tau aggregates in and outside the medial temporal lobe. Ex vivo age-cognition associations were mediated by medial and inferior temporal tau tangle density, while correcting for Aβ density. Taken together, our study provides support for primary age-related tauopathy even outside the medial temporal lobe in vivo and ex vivo, with downstream effects on structure and cognition. These results have implications for our understanding of the spreading of tau outside the medial temporal lobe, also in the context of Alzheimer's disease. Moreover, this study suggests the potential utility of tau-targeting treatments in primary age-related tauopathy, likely already in preclinical stages in individuals with low Aβ pathology.
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Affiliation(s)
- Anika Wuestefeld
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Alexa Pichet Binette
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - David Berron
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- German Center for Neurodegenerative Diseases (DZNE), 39120 Magdeburg, Germany
| | - Nicola Spotorno
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Danielle van Westen
- Department of Diagnostic Radiology, Clinical Sciences, Lund University, SE-222 42 Lund, Sweden
- Image and Function, Skåne University Hospital, SE-205 02 Malmö, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Department of Neurology, Skåne University Hospital, SE-205 02 Malmö, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, 221 84 Lund, Sweden
| | - Olof Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Ruben Smith
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Department of Neurology, Skåne University Hospital, SE-205 02 Malmö, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
| | - Trevor Glenn
- Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Svenja Moes
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, CH-4070 Basel, Switzerland
| | - Michael Honer
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, CH-4070 Basel, Switzerland
| | - Konstantinos Arfanakis
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL 60612, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
| | - Lisa L Barnes
- Rush Alzheimer’s Disease Center, 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
| | - Laura E M Wisse
- Department of Diagnostic Radiology, Clinical Sciences, Lund University, SE-222 42 Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
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Walker JM, Goette W, Farrell K, Iida MA, Karlovich E, White CL, Crary JF, Richardson TE. The relationship between hippocampal amyloid beta burden and spatial distribution of neurofibrillary degeneration. Alzheimers Dement 2023; 19:3158-3170. [PMID: 36738450 PMCID: PMC11100308 DOI: 10.1002/alz.12966] [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: 11/17/2022] [Revised: 12/30/2022] [Accepted: 01/04/2023] [Indexed: 02/05/2023]
Abstract
INTRODUCTION Neurofibrillary degeneration in Alzheimer's disease (AD) typically involves the entorhinal cortex and CA1 subregion of the hippocampus early in the disease process, whereas in primary age-related tauopathy (PART), there is an early selective vulnerability of the CA2 subregion. METHODS Image analysis-based quantitative pixel assessments were used to objectively evaluate amyloid beta (Aβ) burden in the medial temporal lobe in relation to the distribution of hyperphosphorylated-tau (p-tau) in 142 cases of PART and AD. RESULTS Entorhinal, CA1, CA3, and CA4 p-tau deposition levels are significantly correlated with Aβ burden, while CA2 p-tau is not. Furthermore, the CA2/CA1 p-tau ratio is inversely correlated with Aβ burden and distribution. In addition, cognitive impairment is correlated with overall p-tau burden. DISCUSSION These data indicate that the presence and extent of medial temporal lobe Aβ may determine the distribution and spread of neurofibrillary degeneration. The resulting p-tau distribution patterns may discriminate between PART and AD. HIGHLIGHTS Subregional hyperphosphorylated-tau (p-tau) distribution is influenced by hippocampal amyloid beta burden. Higher CA2/CA1 p-tau ratio is predictive of primary age-related tauopathy-like neuropathology. Cognitive function is correlated with the overall hippocampal p-tau burden.
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Affiliation(s)
- Jamie M. Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - William Goette
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Kurt Farrell
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Megan A. Iida
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- School of Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Esma Karlovich
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Pathology and Cell Biology, Columbia University, New York, New York, USA
| | - The PART Working Group
- The PART working group is a multi-institutional collaboration. PART working group investigators are listed in the acknowledgments section
| | - Charles L. White
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - John F. Crary
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Timothy E. Richardson
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Gupta R, Patel V, McGinnis SM, Silbersweig D, Miller MB, Feany MB, Daffner K, Gale SA. Case Study 4: A 68-Year-Old Woman With Progressive Cognitive Decline and Anxiety. J Neuropsychiatry Clin Neurosci 2023; 35:4-11. [PMID: 36633473 DOI: 10.1176/appi.neuropsych.20220151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Rishab Gupta
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Vihar Patel
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Scott M McGinnis
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - David Silbersweig
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Michael B Miller
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Mel B Feany
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Kirk Daffner
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Seth A Gale
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
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Walker JM, Gonzales MM, Goette W, Farrell K, White CL, Crary JF, Richardson TE. Cognitive and Neuropsychological Profiles in Alzheimer's Disease and Primary Age-Related Tauopathy and the Influence of Comorbid Neuropathologies. J Alzheimers Dis 2023; 92:1037-1049. [PMID: 36847012 PMCID: PMC11138480 DOI: 10.3233/jad-230022] [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: 02/25/2023]
Abstract
BACKGROUND Alzheimer's disease neuropathologic change (ADNC) is defined by the progression of both hyperphosphorylated-tau (p-tau) and amyloid-β (Aβ) and is the most common underlying cause of dementia worldwide. Primary age-related tauopathy (PART), an Aβ-negative tauopathy largely confined to the medial temporal lobe, is increasingly being recognized as an entity separate from ADNC with diverging clinical, genetic, neuroanatomic, and radiologic profiles. OBJECTIVE The specific clinical correlates of PART are largely unknown; we aimed to identify cognitive and neuropsychological differences between PART, ADNC, and subjects with no tauopathy (NT). METHODS We compared 2,884 subjects with autopsy-confirmed intermediate-high stage ADNC to 208 subjects with definite PART (Braak stage I-IV, Thal phase 0, CERAD NP score "absent") and 178 NT subjects from the National Alzheimer's Coordinating Center dataset. RESULTS PART subjects were older than either ADNC or NT patients. The ADNC cohort had more frequent neuropathological comorbidities as well as APOE ɛ4 alleles than the PART or NT cohort, and less frequent APOE ɛ2 alleles than either group. Clinically, ADNC patients performed significantly worse than NT or PART subjects across cognitive measures, but PART subjects had selective deficits in measures of processing speed, executive function, and visuospatial function, although additional cognitive measures were further impaired in the presence of neuropathologic comorbidities. In isolated cases of PART with Braak stage III-IV, there are additional deficits in measures of language. CONCLUSION Overall, these findings demonstrate underlying cognitive features specifically associated with PART, and reinforce the concept that PART is a distinct entity from ADNC.
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Affiliation(s)
- Jamie M. Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Mitzi M. Gonzales
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - William Goette
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kurt Farrell
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles L. White
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - John F. Crary
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Timothy E. Richardson
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Quintas-Neves M, Teylan MA, Morais-Ribeiro R, Almeida F, Mock CN, Kukull WA, Crary JF, Oliveira TG. Divergent magnetic resonance imaging atrophy patterns in Alzheimer's disease and primary age-related tauopathy. Neurobiol Aging 2022; 117:1-11. [PMID: 35640459 DOI: 10.1016/j.neurobiolaging.2022.04.013] [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: 10/18/2021] [Revised: 04/18/2022] [Accepted: 04/19/2022] [Indexed: 10/18/2022]
Abstract
Our study compared brain MRI with neuropathological findings in patients with primary age-related tauopathy (PART) and Alzheimer's disease (AD), while assessing the relationship between brain atrophy and clinical impairment. We analyzed 233 participants: 32 with no plaques ("definite" PART-BRAAK stage higher than 0 and CERAD 0), and 201 cases within the AD spectrum, with 25 with sparse (CERAD 1), 76 with moderate (CERAD 2), and 100 with severe (CERAD 3) degrees of neuritic plaques. Upon correcting for age, sex, and age difference at MRI and death, there were significantly higher levels of atrophy in CERAD 3 compared to CERAD 1-2 and a trend compared to PART (p = 0.06). In the anterior temporal region, there was a trend for higher levels of atrophy in PART compared to Alzheimer's disease spectrum cases with CERAD 1 (p = 0.08). We then assessed the correlation between regional brain atrophy and CDR sum of boxes score for PART and AD, and found that overall cognition deficits are directly correlated with regional atrophy in the AD continuum, but not in definite PART. We further observed correlations between regional brain atrophy with multiple neuropsychological metrics in AD, with PART showing specific correlations between language deficits and anterior temporal atrophy. Overall, these findings support PART as an independent pathologic process from AD.
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Affiliation(s)
- Miguel Quintas-Neves
- Department of Neuroradiology, Hospital de Braga, Braga, Portugal; Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Merilee A Teylan
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Rafaela Morais-Ribeiro
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Francisco Almeida
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Charles N Mock
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - Walter A Kukull
- Department of Epidemiology, National Alzheimer's Coordinating Center, University of Washington, Seattle, WA, USA
| | - John F Crary
- Neuropathology Brain Bank & Research Core, Department of Pathology, Nash Family Department of Neuroscience, Department of Artificial Intelligence & Human Health, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tiago Gil Oliveira
- Department of Neuroradiology, Hospital de Braga, Braga, Portugal; Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal.
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8
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Chen L, Niu X, Wang Y, Lv S, Zhou X, Yang Z, Peng D. Plasma tau proteins for the diagnosis of mild cognitive impairment and Alzheimer's disease: A systematic review and meta-analysis. Front Aging Neurosci 2022; 14:942629. [PMID: 35959295 PMCID: PMC9358685 DOI: 10.3389/fnagi.2022.942629] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveDetecting plasma tau biomarkers used to be impossible due to their low concentrations in blood samples. Currently, new high-sensitivity assays made it a reality. We performed a systematic review and meta-analysis in order to test the accuracy of plasma tau protein in diagnosing Alzheimer's disease (AD) or mild cognitive impairment (MCI).MethodsWe searched PubMed, Cochrane, Embase and Web of Science databases, and conducted correlation subgroup analysis, sensitivity analysis and publication bias analysis using R Programming Language.ResultsA total of 56 studies were included. Blood t-tau and p-tau levels increased from controls to MCI to AD patients, and showed significant changes in pairwise comparisons of AD, MCI and normal cognition. P-tau217 was more sensitive than p-tau181 and p-tau231 in different cognition periods. In addition, ultrasensitive analytical platforms, immunomagnetic reduction (IMR), increased the diagnostic value of tau proteins, especially the diagnostic value of t-tau.ConclusionBoth t-tau and p-tau are suitable AD blood biomarkers, and p-tau217 is more sensitive than other tau biomarkers to differentiate MCI and AD. Detection techniques also have an impact on biomarkers' results. New ultrasensitive analytical platforms of IMR increase the diagnostic value of both t-tau and p-tau biomarkers.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, registration number: CRD42021264701.
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Affiliation(s)
- Leian Chen
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiaoqian Niu
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Yuye Wang
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shuang Lv
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Xiao Zhou
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ziyuan Yang
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Dantao Peng
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
- *Correspondence: Dantao Peng
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9
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Identification and validation of a gray matter volume network in Alzheimer's disease. J Neurol Sci 2022; 440:120344. [PMID: 35908305 DOI: 10.1016/j.jns.2022.120344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 07/12/2022] [Accepted: 07/14/2022] [Indexed: 11/20/2022]
Abstract
OBJECTIVE This study aims to identify and validate a gray matter volume network in patients with Alzheimer's disease (AD). METHODS To identify a disease-related network, a principal component analysis-based algorithm, Scaled Subprofile Model, was applied to gray matter volume data derived from structural T1-weighted magnetic resonance imaging of the training sample that consisted of nine patients with AD (women, four; dementia, seven; mild cognitive impairment, two; age, 66.7 ± 8.8 [mean ± SD] years) with positive 18F-flutemetamol amyloid positron emission tomography and eight age-matched healthy controls obtained on-site. The network expression scores were calculated by topographic profile rating in the validation sample obtained via the Open Access Series of Imaging Studies and comprised 12 patients with AD dementia (women, four; age, 70.0 ± 3.7 years) and 12 age-matched healthy controls. RESULTS A significant network from the training sample, for which subject expression differed between the groups (permutation test, P = 0.006; sensitivity and specificity, 100%; area under the curve, 1), was identified. This network was represented by the principal components 1, 2, and 3 and showed a relative decrease in the inferior parietal lobule including angular gyrus, inferior temporal gyrus, premotor cortex, amygdala, hippocampus, and precuneus. It significantly differed between the groups with a sensitivity, specificity, and area under the curve of 83%, 91%, and 0.85, respectively, in the validation sample (P = 0.003). CONCLUSIONS An AD-related gray matter volume network that captured relevant regions was identified in amyloid positron emission tomography-positive patients and validated in an independent sample.
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10
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Krishnadas N, Doré V, Groot C, Lamb F, Bourgeat P, Burnham SC, Huang K, Goh AMY, Masters CL, Villemagne VL, Rowe CC. Mesial temporal tau in amyloid-β-negative cognitively normal older persons. Alzheimers Res Ther 2022; 14:51. [PMID: 35395950 PMCID: PMC8991917 DOI: 10.1186/s13195-022-00993-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/23/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Tau deposition in the mesial temporal lobe (MTL) in the absence of amyloid-β (Aβ-) occurs with aging. The tau PET tracer 18F-MK6240 has low non-specific background binding so is well suited to exploration of early-stage tau deposition. The aim of this study was to investigate the associations between MTL tau, age, hippocampal volume (HV), cognition, and neocortical tau in Aβ- cognitively unimpaired (CU) individuals. METHODS One hundred and ninety-nine Aβ- participants (Centiloid < 25) who were CU underwent 18F-MK6240 PET at age 75 ± 5.2 years. Tau standardized uptake value ratio (SUVR) was estimated in mesial temporal (Me), temporoparietal (Te), and rest of the neocortex (R) regions and four Me sub-regions. Tau SUVR were analyzed as continuous variables and compared between high and low MTL SUVR groups. RESULTS In this cohort with a stable clinical classification of CU for a mean of 5.3 years prior to and at the time of tau PET, MTL tau was visually observed in 9% of the participants and was limited to Braak stages I-II. MTL tau was correlated with age (r = 0.24, p < 0.001). Age contributed to the variance in cognitive scores but MTL tau did not. MTL tau was not greater with subjective memory complaint, nor was there a correlation between MTL tau and Aβ Centiloid value, but high tau was associated with smaller HV. Participants with MTL tau had higher tau SUVR in the neocortex but this was driven by the cerebellar reference region and was not present when using white matter normalization. CONCLUSIONS In an Aβ- CU cohort, tau tracer binding in the mesial temporal lobe was age-related and associated with smaller hippocampi, but not with subjective or objective cognitive impairment.
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Affiliation(s)
- Natasha Krishnadas
- Florey Department of Neurosciences & Mental Health, The University of Melbourne, Parkville, VIC, 3052, Australia
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Vincent Doré
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
- Health and Biosecurity Flagship, The Australian eHealth Research Centre, Melbourne, Victoria, Australia
| | - Colin Groot
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Fiona Lamb
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Pierrick Bourgeat
- Health and Biosecurity Flagship, The Australian eHealth Research Centre, Brisbane, QLD, Australia
| | - Samantha C Burnham
- Health and Biosecurity Flagship, The Australian eHealth Research Centre, Melbourne, Victoria, Australia
| | - Kun Huang
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Anita M Y Goh
- Department of Psychiatry, The University of Melbourne, Parkville, VIC, 3010, Australia
- National Ageing Research Institute, Parkville, VIC, 3052, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience & Mental Health, Parkville, VIC, 3052, Australia
| | | | - Christopher C Rowe
- Florey Department of Neurosciences & Mental Health, The University of Melbourne, Parkville, VIC, 3052, Australia.
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia.
- Florey Institute of Neuroscience & Mental Health, Parkville, VIC, 3052, Australia.
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11
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Andersen E, Casteigne B, Chapman WD, Creed A, Foster F, Lapins A, Shatz R, Sawyer RP. Diagnostic biomarkers in Alzheimer’s disease. Biomark Neuropsychiatry 2021. [DOI: 10.1016/j.bionps.2021.100041] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
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12
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Yoon B, Guo T, Provost K, Korman D, Ward TJ, Landau SM, Jagust WJ. Abnormal tau in amyloid PET negative individuals. Neurobiol Aging 2021; 109:125-134. [PMID: 34715443 DOI: 10.1016/j.neurobiolaging.2021.09.019] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 09/03/2021] [Accepted: 09/22/2021] [Indexed: 12/14/2022]
Abstract
We examined the characteristics of individuals with biomarker evidence of tauopathy but without β-amyloid (Aβ) (A-T+) in relation to individuals with (A+T+) and without (A-T-) evidence of Alzheimer's disease (AD). We included 561 participants with Aβ and tau PET from the Alzheimer's Disease Neuroimaging Initiative (ADNI). We compared A-T- (n = 316), A-T+ (n = 63), and A+T+ (n = 182) individuals on demographics, amyloid, tau, hippocampal volumes, and cognition. A-T+ individuals were low on apolipoprotein E ɛ4 prevalence (17%) and had no evidence of subtly elevated brain Aβ within the negative range. The severity of tau deposition, hippocampal atrophy, and cognitive dysfunction in the A-T+ group was intermediate between A-T- and A+T+ (all p < 0.001). Tau uptake patterns in A-T+ individuals were heterogeneous, but approximately 29% showed tau deposition in the medial temporal lobe only, consistent with primary age-related tauopathy and an additional 32% showed a pattern consistent with AD. A-T+ individuals also share other features that are characteristic of AD such as cognitive impairment and neurodegeneration, but this group is heterogeneous and likely reflects more than one disorder.
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Affiliation(s)
- Bora Yoon
- Department of Neurology, Konyang University Hospital, Konyang University, College of Medicine, Daejeon, Korea.
| | - Tengfei Guo
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Karine Provost
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, USA
| | - Deniz Korman
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Tyler J Ward
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Susan M Landau
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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13
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Sex-Related Motor Deficits in the Tau-P301L Mouse Model. Biomedicines 2021; 9:biomedicines9091160. [PMID: 34572348 PMCID: PMC8471835 DOI: 10.3390/biomedicines9091160] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/31/2021] [Accepted: 09/01/2021] [Indexed: 01/22/2023] Open
Abstract
The contribution of mouse models for basic and translational research at different levels is important to understand neurodegenerative diseases, including tauopathies, by studying the alterations in the corresponding mouse models in detail. Moreover, several studies demonstrated that pathological as well as behavioral changes are influenced by the sex. For this purpose, we performed an in-depth characterization of the behavioral alterations in the transgenic Tau-P301L mouse model. Sex-matched wild type and homozygous Tau-P301L mice were tested in a battery of behavioral tests at different ages. Tau-P301L male mice showed olfactory and motor deficits as well as increased Tau pathology, which was not observed in Tau-P301L female mice. Both Tau-P301L male and female mice had phenotypic alterations in the SHIRPA test battery and cognitive deficits in the novel object recognition test. This study demonstrated that Tau-P301L mice have phenotypic alterations, which are in line with the histological changes and with a sex-dependent performance in those tests. Summarized, the Tau-P301L mouse model shows phenotypic alterations due to the presence of neurofibrillary tangles in the brain.
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14
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Giong HK, Subramanian M, Yu K, Lee JS. Non-Rodent Genetic Animal Models for Studying Tauopathy: Review of Drosophila, Zebrafish, and C. elegans Models. Int J Mol Sci 2021; 22:8465. [PMID: 34445171 PMCID: PMC8395099 DOI: 10.3390/ijms22168465] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/03/2021] [Accepted: 08/04/2021] [Indexed: 12/12/2022] Open
Abstract
Tauopathy refers to a group of progressive neurodegenerative diseases, including frontotemporal lobar degeneration and Alzheimer's disease, which correlate with the malfunction of microtubule-associated protein Tau (MAPT) due to abnormal hyperphosphorylation, leading to the formation of intracellular aggregates in the brain. Despite extensive efforts to understand tauopathy and develop an efficient therapy, our knowledge is still far from complete. To find a solution for this group of devastating diseases, several animal models that mimic diverse disease phenotypes of tauopathy have been developed. Rodents are the dominating tauopathy models because of their similarity to humans and established disease lines, as well as experimental approaches. However, powerful genetic animal models using Drosophila, zebrafish, and C. elegans have also been developed for modeling tauopathy and have contributed to understanding the pathophysiology of tauopathy. The success of these models stems from the short lifespans, versatile genetic tools, real-time in-vivo imaging, low maintenance costs, and the capability for high-throughput screening. In this review, we summarize the main findings on mechanisms of tauopathy and discuss the current tauopathy models of these non-rodent genetic animals, highlighting their key advantages and limitations in tauopathy research.
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Affiliation(s)
- Hoi-Khoanh Giong
- Disease Target Structure Research Center, KRIBB, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Korea; (H.-K.G.); (M.S.)
- KRIBB School, University of Science and Technology, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Korea
- Dementia DTC R&D Convergence Program, KIST, Hwarang-ro 14 gil 5, Seongbuk-gu, Seoul 02792, Korea
| | - Manivannan Subramanian
- Disease Target Structure Research Center, KRIBB, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Korea; (H.-K.G.); (M.S.)
- Dementia DTC R&D Convergence Program, KIST, Hwarang-ro 14 gil 5, Seongbuk-gu, Seoul 02792, Korea
| | - Kweon Yu
- Disease Target Structure Research Center, KRIBB, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Korea; (H.-K.G.); (M.S.)
- KRIBB School, University of Science and Technology, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Korea
- Dementia DTC R&D Convergence Program, KIST, Hwarang-ro 14 gil 5, Seongbuk-gu, Seoul 02792, Korea
| | - Jeong-Soo Lee
- Disease Target Structure Research Center, KRIBB, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Korea; (H.-K.G.); (M.S.)
- KRIBB School, University of Science and Technology, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Korea
- Dementia DTC R&D Convergence Program, KIST, Hwarang-ro 14 gil 5, Seongbuk-gu, Seoul 02792, Korea
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15
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Iida MA, Farrell K, Walker JM, Richardson TE, Marx GA, Bryce CH, Purohit D, Ayalon G, Beach TG, Bigio EH, Cortes EP, Gearing M, Haroutunian V, McMillan CT, Lee EB, Dickson DW, McKee AC, Stein TD, Trojanowski JQ, Woltjer RL, Kovacs GG, Kofler JK, Kaye J, White CL, Crary JF. Predictors of cognitive impairment in primary age-related tauopathy: an autopsy study. Acta Neuropathol Commun 2021; 9:134. [PMID: 34353357 PMCID: PMC8340493 DOI: 10.1186/s40478-021-01233-3] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/16/2021] [Indexed: 12/14/2022] Open
Abstract
Primary age-related tauopathy (PART) is a form of Alzheimer-type neurofibrillary degeneration occurring in the absence of amyloid-beta (Aβ) plaques. While PART shares some features with Alzheimer disease (AD), such as progressive accumulation of neurofibrillary tangle pathology in the medial temporal lobe and other brain regions, it does not progress extensively to neocortical regions. Given this restricted pathoanatomical pattern and variable symptomatology, there is a need to reexamine and improve upon how PART is neuropathologically assessed and staged. We performed a retrospective autopsy study in a collection (n = 174) of post-mortem PART brains and used logistic regression to determine the extent to which a set of clinical and neuropathological features predict cognitive impairment. We compared Braak staging, which focuses on hierarchical neuroanatomical progression of AD tau and Aβ pathology, with quantitative assessments of neurofibrillary burden using computer-derived positive pixel counts on digitized whole slide images of sections stained immunohistochemically with antibodies targeting abnormal hyperphosphorylated tau (p-tau) in the entorhinal region and hippocampus. We also assessed other factors affecting cognition, including aging-related tau astrogliopathy (ARTAG) and atrophy. We found no association between Braak stage and cognitive impairment when controlling for age (p = 0.76). In contrast, p-tau burden was significantly correlated with cognitive impairment even when adjusting for age (p = 0.03). The strongest correlate of cognitive impairment was cerebrovascular disease, a well-known risk factor (p < 0.0001), but other features including ARTAG (p = 0.03) and hippocampal atrophy (p = 0.04) were also associated. In contrast, sex, APOE, psychiatric illness, education, argyrophilic grains, and incidental Lewy bodies were not. These findings support the hypothesis that comorbid pathologies contribute to cognitive impairment in subjects with PART. Quantitative approaches beyond Braak staging are critical for advancing our understanding of the extent to which age-related tauopathy changes impact cognitive function.
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Affiliation(s)
- Megan A Iida
- Department of Pathology, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine At Mount Sinai, Friedman Brain Institute, Neuropathology Brain Bank & Research CoRE, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
| | - Kurt Farrell
- Department of Pathology, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine At Mount Sinai, Friedman Brain Institute, Neuropathology Brain Bank & Research CoRE, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
| | - Jamie M Walker
- Department of Pathology and Laboratory Medicine and The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - Timothy E Richardson
- Department of Pathology and Laboratory Medicine and The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA
| | - Gabriel A Marx
- Department of Pathology, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine At Mount Sinai, Friedman Brain Institute, Neuropathology Brain Bank & Research CoRE, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
| | - Clare H Bryce
- Department of Pathology, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine At Mount Sinai, Friedman Brain Institute, Neuropathology Brain Bank & Research CoRE, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
| | - Dushyant Purohit
- Department of Pathology, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine At Mount Sinai, Friedman Brain Institute, Neuropathology Brain Bank & Research CoRE, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
| | - Gai Ayalon
- Ultragenyx Pharmaceuticals, Novato, CA, USA
| | | | - Eileen H Bigio
- Department of Pathology, Northwestern Cognitive Neurology and Alzheimer Disease Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Etty P Cortes
- Department of Pathology, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine At Mount Sinai, Friedman Brain Institute, Neuropathology Brain Bank & Research CoRE, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA
| | - Marla Gearing
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Vahram Haroutunian
- Departments of Psychiatry and Neuroscience, Alzheimer's Disease Research Center, Icahn School of Medicine At Mount Sinai, New York, NY, USA
- JJ Peters VA Medical Center (MIRECC), Bronx, NY, USA
| | - Corey T McMillan
- Department of Neurology, Perelman School of Medicine, Penn FTD Center, Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B Lee
- Department of Pathology and Laboratory Medicine, Translational Neuropathology Research Laboratory, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | | | - Ann C McKee
- Department of Pathology, VA Medical Center & Boston University School of Medicine, Boston, MA, USA
| | - Thor D Stein
- Department of Pathology, VA Medical Center & Boston University School of Medicine, Boston, MA, USA
| | - John Q Trojanowski
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Randall L Woltjer
- Department of Pathology, Oregon Health Sciences University, Portland, OR, USA
| | - Gabor G Kovacs
- Laboratory Medicine Program, Krembil Brain Institute University Health Network Toronto Ontario, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada
- Institute of Neurology, Medical University of Vienna, Vienna, Austria
| | - Julia K Kofler
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Jeffrey Kaye
- Department of Neurology, Oregon Health & Science University, Portland, USA
| | - Charles L White
- Neuropathology Laboratory, Department of Pathology, University of Texas Southwestern Medical Center, Dallas, USA
| | - John F Crary
- Department of Pathology, Nash Family Department of Neuroscience, Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine At Mount Sinai, Friedman Brain Institute, Neuropathology Brain Bank & Research CoRE, 1 Gustave L. Levy Place Box 1194, New York, NY, 10029, USA.
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16
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Wisse LEM, Ravikumar S, Ittyerah R, Lim S, Lane J, Bedard ML, Xie L, Das SR, Schuck T, Grossman M, Lee EB, Tisdall MD, Prabhakaran K, Detre JA, Mizsei G, Trojanowski JQ, Artacho-Pérula E, de Iñiguez de Onzono Martin MM, M Arroyo-Jiménez M, Muñoz Lopez M, Molina Romero FJ, P Marcos Rabal M, Cebada Sánchez S, Delgado González JC, de la Rosa Prieto C, Córcoles Parada M, Wolk DA, Irwin DJ, Insausti R, Yushkevich PA. Downstream effects of polypathology on neurodegeneration of medial temporal lobe subregions. Acta Neuropathol Commun 2021; 9:128. [PMID: 34289895 PMCID: PMC8293481 DOI: 10.1186/s40478-021-01225-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 07/06/2021] [Indexed: 12/14/2022] Open
Abstract
The medial temporal lobe (MTL) is a nidus for neurodegenerative pathologies and therefore an important region in which to study polypathology. We investigated associations between neurodegenerative pathologies and the thickness of different MTL subregions measured using high-resolution post-mortem MRI. Tau, TAR DNA-binding protein 43 (TDP-43), amyloid-β and α-synuclein pathology were rated on a scale of 0 (absent)-3 (severe) in the hippocampus and entorhinal cortex (ERC) of 58 individuals with and without neurodegenerative diseases (median age 75.0 years, 60.3% male). Thickness measurements in ERC, Brodmann Area (BA) 35 and 36, parahippocampal cortex, subiculum, cornu ammonis (CA)1 and the stratum radiatum lacunosum moleculare (SRLM) were derived from 0.2 × 0.2 × 0.2 mm3 post-mortem MRI scans of excised MTL specimens from the contralateral hemisphere using a semi-automated approach. Spearman's rank correlations were performed between neurodegenerative pathologies and thickness, correcting for age, sex and hemisphere, including all four proteinopathies in the model. We found significant associations of (1) TDP-43 with thickness in all subregions (r = - 0.27 to r = - 0.46), and (2) tau with BA35 (r = - 0.31) and SRLM thickness (r = - 0.33). In amyloid-β and TDP-43 negative cases, we found strong significant associations of tau with ERC (r = - 0.40), BA35 (r = - 0.55), subiculum (r = - 0.42) and CA1 thickness (r = - 0.47). This unique dataset shows widespread MTL atrophy in relation to TDP-43 pathology and atrophy in regions affected early in Braak stageing and tau pathology. Moreover, the strong association of tau with thickness in early Braak regions in the absence of amyloid-β suggests a role of Primary Age-Related Tauopathy in neurodegeneration.
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Affiliation(s)
- L E M Wisse
- Department of Diagnostic Radiology, Lund University, Klinikgatan 13b, Lund, Sweden.
- Department of Radiology, University of Pennsylvania, Philadelphia, USA.
| | - S Ravikumar
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - R Ittyerah
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - S Lim
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - J Lane
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - M L Bedard
- Department of Pharmacology, University of North Carolina At Chapel Hill, Chapel Hill, USA
| | - L Xie
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - S R Das
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - T Schuck
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, USA
| | - M Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - E B Lee
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, USA
| | - M D Tisdall
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - K Prabhakaran
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - J A Detre
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - G Mizsei
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - J Q Trojanowski
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, USA
| | - E Artacho-Pérula
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, University of Castilla La Mancha, Albacete, Spain
| | | | - M M Arroyo-Jiménez
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, University of Castilla La Mancha, Albacete, Spain
| | - M Muñoz Lopez
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, University of Castilla La Mancha, Albacete, Spain
| | - F J Molina Romero
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, University of Castilla La Mancha, Albacete, Spain
| | - M P Marcos Rabal
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, University of Castilla La Mancha, Albacete, Spain
| | - S Cebada Sánchez
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, University of Castilla La Mancha, Albacete, Spain
| | - J C Delgado González
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, University of Castilla La Mancha, Albacete, Spain
| | - C de la Rosa Prieto
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, University of Castilla La Mancha, Albacete, Spain
| | - M Córcoles Parada
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, University of Castilla La Mancha, Albacete, Spain
| | - D A Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - D J Irwin
- Department of Neurology, University of Pennsylvania, Philadelphia, USA
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, USA
| | - R Insausti
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, University of Castilla La Mancha, Albacete, Spain
| | - P A Yushkevich
- Department of Radiology, University of Pennsylvania, Philadelphia, USA
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17
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Sakurai K, Kaneda D, Inui S, Uchida Y, Morimoto S, Nihashi T, Kato T, Ito K, Hashizume Y. Simple Quantitative Indices for the Differentiation of Advanced-Stage Alzheimer's Disease and Other Limbic Tauopathies. J Alzheimers Dis 2021; 81:1093-1102. [PMID: 33843680 DOI: 10.3233/jad-210043] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND The differentiation of Alzheimer's disease (AD) from age-related limbic tauopathies (LT), including argyrophilic grain disease (AGD) and senile dementia of the neurofibrillary tangle type (SD-NFT), is often challenging because specific clinical diagnostic criteria have not yet been established. Despite the utility of specific biomarkers evaluating amyloid and tau to detect the AD-related pathophysiological changes, the expense and associated invasiveness preclude their use as first-line diagnostic tools for all demented patients. Therefore, less invasive and costly biomarkers would be valuable in routine clinical practice for the differentiation of AD and LT. OBJECTIVE The purpose of this study is to develop a simple reproducible method on magnetic resonance imaging (MRI) that could be adopted in daily clinical practice for the differentiation of AD and other forms of LT. METHODS Our newly proposed three quantitative indices and well-known medial temporal atrophy (MTA) score were evaluated using MRI of pathologically-proven advanced-stage 21 AD, 10 AGD, and 2 SD-NFT patients. RESULTS Contrary to MTA score, hippocampal angle (HPA), inferior horn area (IHA), and ratio between HPA and IHA (i.e., IHPA index) demonstrated higher diagnostic performance and reproducibility, especially to differentiate advanced-stage AD patients with Braak neurofibrillary tangle stage V/VI from LT patients (the area under the receiver-operating-characteristic curve of 0.83, 089, and 0.91; intraclass correlation coefficients of 0.930, 0.998, and 0.995, respectively). CONCLUSION Quantitative indices reflecting hippocampal deformation with ventricular enlargement are useful to differentiate advanced-stage AD from LT. This simple and convenient method could be useful in daily clinical practice.
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Affiliation(s)
- Keita Sakurai
- Department of Radiology, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Daita Kaneda
- Choju Medical Institute, Fukushimura Hospital, Toyohashi, Japan
| | - Shohei Inui
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yuto Uchida
- Department of Neurology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Satoru Morimoto
- Department of Physiology, School of Medicine, Keio University, Tokyo, Japan
| | - Takashi Nihashi
- Department of Radiology, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Takashi Kato
- Department of Radiology, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Kengo Ito
- Department of Radiology, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
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18
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Wales RM, Leung HC. The Effects of Amyloid and Tau on Functional Network Connectivity in Older Populations. Brain Connect 2021; 11:599-612. [PMID: 33813858 DOI: 10.1089/brain.2020.0902] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Neuroimaging studies suggest that aged brains show altered connectivity within and across functional networks. Similar changes in functional network integrity are also linked to the accumulation of pathological proteins in the brain, such as amyloid-beta plaques and neurofibrillary tau tangles seen in Alzheimer's disease. However, less is known about the specific impacts of amyloid and tau on functional network connectivity in cognitively normal older adults who harbor these proteins. Methods: We briefly summarize recent neuroimaging studies of aging and then thoroughly review positron emission tomography and functional magnetic resonance imaging studies measuring the relationship between amyloid-tau pathology and functional connectivity in cognitively normal older individuals. Results: The literature overall suggests that amyloid-positive older individuals show minor cognitive dysfunction and aberrant default mode network connectivity compared with amyloid-negative individuals. Tau, however, is more closely associated with network hypoconnectivity and poorer cognition. Those with substantial amyloid and tau experience even greater cognitive decline compared with those with primarily amyloid or tau, suggesting a potential interaction. Multimodal neuroimaging studies suggest that older adults with pathological protein deposits show amyloid-related hyperconnectivity and tau-related hypoconnectivity in multiple functional networks, including the default mode and frontoparietal networks. Discussion: We propose an updated model considering the effects of amyloid and tau on functional connectivity in older individuals. Large, longitudinal neuroimaging studies with multiple levels of analysis are required to obtain a deeper understanding of the dynamic relationship between pathological protein accumulation and functional connectivity changes, as amyloid- and tau-induced connectivity alterations may have critical and time-varying effects on neurodegeneration and cognitive decline. Impact statement Amyloid and tau accumulation have been linked with altered functional connectivity in cognitively normal older adults. This review synthesized recent functional imaging literatures in a discussion of how amyloid and tau can interactively affect functional connectivity in nonlinear ways, which can explain previous conflicting findings. Changes in connectivity strength may depend on the accumulation of both amyloid and tau, and their integrative effects seem to have critical consequences on cognition. Elucidating the effects of these pathological proteins on brain functioning is paramount to understand the etiology of Alzheimer's disease and the aging process overall.
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Affiliation(s)
- Ryan Michael Wales
- Integrative Neuroscience Program, Department of Psychology, Stony Brook University, Stony Brook, New York, USA
| | - Hoi-Chung Leung
- Integrative Neuroscience Program, Department of Psychology, Stony Brook University, Stony Brook, New York, USA
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19
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Wisse LEM, de Flores R, Xie L, Das SR, McMillan CT, Trojanowski JQ, Grossman M, Lee EB, Irwin D, Yushkevich PA, Wolk DA. Pathological drivers of neurodegeneration in suspected non-Alzheimer's disease pathophysiology. ALZHEIMERS RESEARCH & THERAPY 2021; 13:100. [PMID: 33990226 PMCID: PMC8122549 DOI: 10.1186/s13195-021-00835-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/26/2021] [Indexed: 11/16/2022]
Abstract
Background Little is known about the heterogeneous etiology of suspected non-Alzheimer’s pathophysiology (SNAP), a group of subjects with neurodegeneration in the absence of β-amyloid. Using antemortem MRI and pathological data, we investigated the etiology of SNAP and the association of neurodegenerative pathologies with structural medial temporal lobe (MTL) measures in β-amyloid-negative subjects. Methods Subjects with antemortem MRI and autopsy data were selected from ADNI (n=63) and the University of Pennsylvania (n=156). Pathological diagnoses and semi-quantitative scores of MTL tau, neuritic plaques, α-synuclein, and TDP-43 pathology and MTL structural MRI measures from antemortem T1-weighted MRI scans were obtained. β-amyloid status (A+/A−) was determined by CERAD score and neurodegeneration status (N+/N−) by hippocampal volume. Results SNAP reflects a heterogeneous group of pathological diagnoses. In ADNI, SNAP (A−N+) had significantly more neuropathological diagnoses than A+N+. In the A− group, tau pathology was associated with hippocampal, entorhinal cortex, and Brodmann area 35 volume/thickness and TDP-43 pathology with hippocampal volume. Conclusion SNAP had a heterogeneous profile with more mixed pathologies than A+N+. Moreover, a role for TDP-43 and tau pathology in driving MTL neurodegeneration in the absence of β-amyloid was supported. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-021-00835-2.
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Affiliation(s)
- L E M Wisse
- Department of Diagnostic Radiology, Lund University, Remissgatan 4, Room 14-520, 222 42, Lund, Sweden. .,Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, USA. .,Penn Memory Center, Department of Neurology, University of Pennsylvania, Philadelphia, USA.
| | - R de Flores
- Université Normandie, Inserm, Université de Caen-Normandie, Inserm UMR-S U1237, GIP Cyceron, Caen, France
| | - L Xie
- Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, USA.,Penn Memory Center, Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - S R Das
- Penn Memory Center, Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - C T McMillan
- Penn FTD Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - J Q Trojanowski
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
| | - M Grossman
- Penn FTD Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - E B Lee
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
| | - D Irwin
- Center for Neurodegenerative Disease Research, University of Pennsylvania, Philadelphia, PA, USA
| | - P A Yushkevich
- Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - D A Wolk
- Penn Memory Center, Department of Neurology, University of Pennsylvania, Philadelphia, USA
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20
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Josephs KA, Martin PR, Weigand SD, Tosakulwong N, Buciuc M, Murray ME, Petrucelli L, Senjem ML, Spychalla AJ, Knopman DS, Boeve BF, Petersen RC, Parisi JE, Dickson DW, Jack CR, Whitwell JL. Protein contributions to brain atrophy acceleration in Alzheimer's disease and primary age-related tauopathy. Brain 2021; 143:3463-3476. [PMID: 33150361 DOI: 10.1093/brain/awaa299] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 07/10/2020] [Accepted: 07/22/2020] [Indexed: 12/13/2022] Open
Abstract
Alzheimer's disease is characterized by the presence of amyloid-β and tau deposition in the brain, hippocampal atrophy and increased rates of hippocampal atrophy over time. Another protein, TAR DNA binding protein 43 (TDP-43) has been identified in up to 75% of cases of Alzheimer's disease. TDP-43, tau and amyloid-β have all been linked to hippocampal atrophy. TDP-43 and tau have also been linked to hippocampal atrophy in cases of primary age-related tauopathy, a pathological entity with features that strongly overlap with those of Alzheimer's disease. At present, it is unclear whether and how TDP-43 and tau are associated with early or late hippocampal atrophy in Alzheimer's disease and primary age-related tauopathy, whether either protein is also associated with faster rates of atrophy of other brain regions and whether there is evidence for protein-associated acceleration/deceleration of atrophy rates. We therefore aimed to model how these proteins, particularly TDP-43, influence non-linear trajectories of hippocampal and neocortical atrophy in Alzheimer's disease and primary age-related tauopathy. In this longitudinal retrospective study, 557 autopsied cases with Alzheimer's disease neuropathological changes with 1638 ante-mortem volumetric head MRI scans spanning 1.0-16.8 years of disease duration prior to death were analysed. TDP-43 and Braak neurofibrillary tangle pathological staging schemes were constructed, and hippocampal and neocortical (inferior temporal and middle frontal) brain volumes determined using longitudinal FreeSurfer. Bayesian bivariate-outcome hierarchical models were utilized to estimate associations between proteins and volume, early rate of atrophy and acceleration in atrophy rates across brain regions. High TDP-43 stage was associated with smaller cross-sectional brain volumes, faster rates of brain atrophy and acceleration of atrophy rates, more than a decade prior to death, with deceleration occurring closer to death. Stronger associations were observed with hippocampus compared to temporal and frontal neocortex. Conversely, low TDP-43 stage was associated with slower early rates but later acceleration. This later acceleration was associated with high Braak neurofibrillary tangle stage. Somewhat similar, but less striking, findings were observed between TDP-43 and neocortical rates. Braak stage appeared to have stronger associations with neocortex compared to TDP-43. The association between TDP-43 and brain atrophy occurred slightly later in time (∼3 years) in cases of primary age-related tauopathy compared to Alzheimer's disease. The results suggest that TDP-43 and tau have different contributions to acceleration and deceleration of brain atrophy rates over time in both Alzheimer's disease and primary age-related tauopathy.
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Affiliation(s)
- Keith A Josephs
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, MN, USA
| | - Peter R Martin
- Department of Health Science Research (Biostatistics), Mayo Clinic, Rochester, MN, USA
| | - Stephen D Weigand
- Department of Health Science Research (Biostatistics), Mayo Clinic, Rochester, MN, USA
| | - Nirubol Tosakulwong
- Department of Health Science Research (Biostatistics), Mayo Clinic, Rochester, MN, USA
| | - Marina Buciuc
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, MN, USA
| | - Melissa E Murray
- Department of Neuroscience (Neuropathology), Mayo Clinic, Jacksonville, FL, USA
| | - Leonard Petrucelli
- Department of Neuroscience (Molecular Neuroscience), Mayo Clinic, Jacksonville, FL, USA
| | - Matthew L Senjem
- Department of Radiology (Radiology Research) Mayo Clinic, Rochester, MN, USA.,Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Anthony J Spychalla
- Department of Radiology (Radiology Research) Mayo Clinic, Rochester, MN, USA.,Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - David S Knopman
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, MN, USA
| | - Bradley F Boeve
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, MN, USA
| | - Ronald C Petersen
- Department of Neurology (Behavioral Neurology), Mayo Clinic, Rochester, MN, USA
| | - Joseph E Parisi
- Department of Laboratory Medicine and Pathology (Neuropathology), Mayo Clinic, Rochester, MN, USA
| | - Dennis W Dickson
- Department of Neuroscience (Neuropathology), Mayo Clinic, Jacksonville, FL, USA
| | - Clifford R Jack
- Department of Radiology (Radiology Research) Mayo Clinic, Rochester, MN, USA
| | - Jennifer L Whitwell
- Department of Radiology (Radiology Research) Mayo Clinic, Rochester, MN, USA
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21
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Shi YB, Tu T, Jiang J, Zhang QL, Ai JQ, Pan A, Manavis J, Tu E, Yan XX. Early Dendritic Dystrophy in Human Brains With Primary Age-Related Tauopathy. Front Aging Neurosci 2020; 12:596894. [PMID: 33364934 PMCID: PMC7750631 DOI: 10.3389/fnagi.2020.596894] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 11/06/2020] [Indexed: 12/15/2022] Open
Abstract
Dystrophic neurites (DNs) are found in many neurological conditions such as traumatic brain injury and age-related neurodegenerative diseases. In Alzheimer's disease (AD) specifically, senile plaques containing silver-stained DNs were already described in the original literature defining this disease. These DNs could be both axonal and dendritic in origin, while axonal dystrophy relative to plaque formation has been more extensively studied. Here, we demonstrate an early occurrence of dendritic dystrophy in the hippocampal CA1 and subicular regions in human brains (n = 23) with primary age-related tauopathy (PART), with neurofibrillary tangle (NFT) burden ranging from Braak stages I to III in the absence of cerebral β-amyloid (Aβ) deposition. In Bielschowsky's silver stain, segmented fusiform swellings on the apical dendrites of hippocampal and subicular pyramidal neurons were observed in all the cases, primarily over the stratum radiatum (s.r.). The numbers of silver-stained neuronal somata and dendritic swellings counted over CA1 to subiculum were positively correlated among the cases. Swollen dendritic processes were also detected in sections immunolabeled for phosphorylated tau (pTau) and sortilin. In aged and AD brains with both Aβ and pTau pathologies, silver- and immunolabeled dystrophic-like dendritic profiles occurred around and within individual neuritic plaques. These findings implicate that dendritic dystrophy can occur among hippocampal pyramidal neurons in human brains with PART. Therefore, as with the case of axonal dystrophy reported in literature, dendritic dystrophy can develop prior to Alzheimer-type plaque and tangle formation in the human brain.
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Affiliation(s)
- Yan-Bin Shi
- Medical Doctor Program, Xiangya School of Medicine, Central South University, Changsha, China
| | - Tian Tu
- Department of Anatomy and Neurobiology, Xiangya School of Medicine, Central South University, Changsha, China
| | - Juan Jiang
- Department of Anatomy and Neurobiology, Xiangya School of Medicine, Central South University, Changsha, China
| | - Qi-Lei Zhang
- Department of Anatomy and Neurobiology, Xiangya School of Medicine, Central South University, Changsha, China
| | - Jia-Qi Ai
- Department of Anatomy and Neurobiology, Xiangya School of Medicine, Central South University, Changsha, China
| | - Aihua Pan
- Department of Anatomy and Neurobiology, Xiangya School of Medicine, Central South University, Changsha, China
| | - Jim Manavis
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Ewen Tu
- Department of Neurology, Brain Hospital of Hunan Province, Changsha, China
| | - Xiao-Xin Yan
- Department of Anatomy and Neurobiology, Xiangya School of Medicine, Central South University, Changsha, China
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22
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Hickman RA, Flowers XE, Wisniewski T. Primary Age-Related Tauopathy (PART): Addressing the Spectrum of Neuronal Tauopathic Changes in the Aging Brain. Curr Neurol Neurosci Rep 2020; 20:39. [PMID: 32666342 DOI: 10.1007/s11910-020-01063-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE OF REVIEW Primary age-related tauopathy (PART) was recently proposed as a pathologic diagnosis for brains that harbor neurofibrillary tangles (Braak stage ≤ 4) with little, if any, amyloid burden. We sought to review the clinicopathologic findings related to PART. RECENT FINDINGS Most adult human brains show at least focal tauopathic changes, and the majority of individuals with PART do not progress to dementia. Older age and cognitive impairment correlate with increased Braak stage, and multivariate analyses suggest that the rate of cognitive decline is less than matched patients with Alzheimer disease (AD). It remains unclear whether PART is a distinct tauopathic entity separate from AD or rather represents an earlier histologic stage of AD. Cognitive decline in PART is usually milder than AD and correlates with tauopathic burden. Biomarker and ligand-based radiologic studies will be important to define PART antemortem and prospectively follow its natural history.
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Affiliation(s)
- Richard A Hickman
- Department of Pathology and Cell Biology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, 630 West 168th Street, PH 15-124, New York, NY, 10032, USA.
| | - Xena E Flowers
- Department of Pathology and Cell Biology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, 630 West 168th Street, PH 15-124, New York, NY, 10032, USA
| | - Thomas Wisniewski
- Departments of Neurology, Pathology and Psychiatry, Center for Cognitive Neurology, NYU School of Medicine, Science Building, Rm 1017, 435 East 30th Street, New York, NY, 10016, USA
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23
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Mock C, Teylan M, Beecham G, Besser L, Cairns NJ, Crary JF, Katsumata Y, Nelson PT, Kukull W. The Utility of the National Alzheimer's Coordinating Center's Database for the Rapid Assessment of Evolving Neuropathologic Conditions. Alzheimer Dis Assoc Disord 2020; 34:105-111. [PMID: 32304374 PMCID: PMC7242145 DOI: 10.1097/wad.0000000000000380] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The field of dementia research is rapidly evolving, especially with regards to our understanding of the diversity of neuropathologic changes that underlie cognitive decline. Definitions and criteria for known conditions are being periodically revised and refined, and new findings are being made about neuropathologic features associated with dementia status. The database maintained by the National Alzheimer's Coordinating Center (NACC) offer researchers a robust, rapid, and statistically well-powered method to evaluate the implications of newly identified neuropathologic conditions with regards to comorbidities, demographic associations, cognitive status, neuropsychologic tests, radiographic findings, and genetics. NACC data derive from dozens of excellent US Alzheimer disease research centers, which collectively follow thousands of research volunteers longitudinally. Many of the research participants are autopsied using state-of-the-art methods. In this article, we describe the NACC database and give examples of its use in evaluating recently revised neuropathologic diagnoses, including primary age-related tauopathy (PART), limbic predominant age-related TDP-43 encephalopathy (LATE), and the preclinical stage of Alzheimer disease neuropathologic change, based on the National Institute on Aging-Alzheimer's Association consensus guidelines. The dementia research community is encouraged to make use of this readily available database as new neuropathologic changes are recognized and defined in this rapidly evolving field.
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Affiliation(s)
- Charles Mock
- National Alzheimer’s Coordinating Center, University of Washington, WA
| | - Merilee Teylan
- National Alzheimer’s Coordinating Center, University of Washington, WA
| | - Gary Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miller School of Medicine, Miami, FL
| | | | - Nigel J. Cairns
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - John F. Crary
- Neuropathology Brain Bank & Research Core, Departments of Pathology & Neuroscience, Friedman Brain Institute, Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY
| | - Peter T. Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY
| | - Walter Kukull
- National Alzheimer’s Coordinating Center, University of Washington, WA
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