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Biechele G, Rauchmann BS, Janowitz D, Buerger K, Franzmeier N, Weidinger E, Guersel S, Schuster S, Finze A, Harris S, Lindner S, Albert NL, Wetzel C, Rupprecht R, Rominger A, Palleis C, Katzdobler S, Burow L, Kurz C, Zaganjori M, Trappmann LK, Goldhardt O, Grimmer T, Haeckert J, Keeser D, Stoecklein S, Morenas-Rodriguez E, Bartenstein P, Levin J, Höglinger GU, Simons M, Perneczky R, Brendel M. Associations between sex, body mass index and the individual microglial response in Alzheimer's disease. J Neuroinflammation 2024; 21:30. [PMID: 38263017 PMCID: PMC10804830 DOI: 10.1186/s12974-024-03020-y] [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: 10/25/2023] [Accepted: 01/11/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND AND OBJECTIVES 18-kDa translocator protein position-emission-tomography (TSPO-PET) imaging emerged for in vivo assessment of neuroinflammation in Alzheimer's disease (AD) research. Sex and obesity effects on TSPO-PET binding have been reported for cognitively normal humans (CN), but such effects have not yet been systematically evaluated in patients with AD. Thus, we aimed to investigate the impact of sex and obesity on the relationship between β-amyloid-accumulation and microglial activation in AD. METHODS 49 patients with AD (29 females, all Aβ-positive) and 15 Aβ-negative CN (8 female) underwent TSPO-PET ([18F]GE-180) and β-amyloid-PET ([18F]flutemetamol) imaging. In 24 patients with AD (14 females), tau-PET ([18F]PI-2620) was additionally available. The brain was parcellated into 218 cortical regions and standardized-uptake-value-ratios (SUVr, cerebellar reference) were calculated. Per region and tracer, the regional increase of PET SUVr (z-score) was calculated for AD against CN. The regression derived linear effect of regional Aβ-PET on TSPO-PET was used to determine the Aβ-plaque-dependent microglial response (slope) and the Aβ-plaque-independent microglial response (intercept) at the individual patient level. All read-outs were compared between sexes and tested for a moderation effect of sex on associations with body mass index (BMI). RESULTS In AD, females showed higher mean cortical TSPO-PET z-scores (0.91 ± 0.49; males 0.30 ± 0.75; p = 0.002), while Aβ-PET z-scores were similar. The Aβ-plaque-independent microglial response was stronger in females with AD (+ 0.37 ± 0.38; males with AD - 0.33 ± 0.87; p = 0.006), pronounced at the prodromal stage. On the contrary, the Aβ-plaque-dependent microglial response was not different between sexes. The Aβ-plaque-independent microglial response was significantly associated with tau-PET in females (Braak-II regions: r = 0.757, p = 0.003), but not in males. BMI and the Aβ-plaque-independent microglial response were significantly associated in females (r = 0.44, p = 0.018) but not in males (BMI*sex interaction: F(3,52) = 3.077, p = 0.005). CONCLUSION While microglia response to fibrillar Aβ is similar between sexes, women with AD show a stronger Aβ-plaque-independent microglia response. This sex difference in Aβ-independent microglial activation may be associated with tau accumulation. BMI is positively associated with the Aβ-plaque-independent microglia response in females with AD but not in males, indicating that sex and obesity need to be considered when studying neuroinflammation in AD.
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Affiliation(s)
- Gloria Biechele
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, University of Munich, Marchioninstraße 15, 81377, Munich, Germany
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
- Institute of Neuroradiology, LMU University Hospital, LMU Munich, Munich, Germany
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany
| | - Katharina Buerger
- Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Gothenburg, Sweden
| | - Endy Weidinger
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Selim Guersel
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sebastian Schuster
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, University of Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Anika Finze
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, University of Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Stefanie Harris
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, University of Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, University of Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, University of Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Christian Wetzel
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Rainer Rupprecht
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, University of Munich, Marchioninstraße 15, 81377, Munich, Germany
- Department of Nuclear Medicine, University of Bern, Inselspital, Bern, Switzerland
| | - Carla Palleis
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sabrina Katzdobler
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Lena Burow
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Carolin Kurz
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Mirlind Zaganjori
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, University of Munich, Marchioninstraße 15, 81377, Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Lena-Katharina Trappmann
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Oliver Goldhardt
- Department of Psychiatry and Psychotherapy, School of Medicine and Health, Technical University Munich, Klinikum Rechts Der Isar, Munich, Germany
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, School of Medicine and Health, Technical University Munich, Klinikum Rechts Der Isar, Munich, Germany
| | - Jan Haeckert
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sophia Stoecklein
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | | | - Peter Bartenstein
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, University of Munich, Marchioninstraße 15, 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Günter U Höglinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mikael Simons
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Institute of Neuronal Cell Biology, TU Munich, Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
| | - Matthias Brendel
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, University of Munich, Marchioninstraße 15, 81377, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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Finze A, Biechele G, Rauchmann BS, Franzmeier N, Palleis C, Katzdobler S, Weidinger E, Guersel S, Schuster S, Harris S, Schmitt J, Beyer L, Gnörich J, Lindner S, Albert NL, Wetzel CH, Rupprecht R, Rominger A, Danek A, Burow L, Kurz C, Tato M, Utecht J, Papazov B, Zaganjori M, Trappmann LK, Goldhardt O, Grimmer T, Haeckert J, Janowitz D, Buerger K, Keeser D, Stoecklein S, Dietrich O, Morenas-Rodriguez E, Barthel H, Sabri O, Bartenstein P, Simons M, Haass C, Höglinger GU, Levin J, Perneczky R, Brendel M. Individual regional associations between Aβ-, tau- and neurodegeneration (ATN) with microglial activation in patients with primary and secondary tauopathies. Mol Psychiatry 2023; 28:4438-4450. [PMID: 37495886 PMCID: PMC10827660 DOI: 10.1038/s41380-023-02188-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 06/27/2023] [Accepted: 07/10/2023] [Indexed: 07/28/2023]
Abstract
β-amyloid (Aβ) and tau aggregation as well as neuronal injury and atrophy (ATN) are the major hallmarks of Alzheimer's disease (AD), and biomarkers for these hallmarks have been linked to neuroinflammation. However, the detailed regional associations of these biomarkers with microglial activation in individual patients remain to be elucidated. We investigated a cohort of 55 patients with AD and primary tauopathies and 10 healthy controls that underwent TSPO-, Aβ-, tau-, and perfusion-surrogate-PET, as well as structural MRI. Z-score deviations for 246 brain regions were calculated and biomarker contributions of Aβ (A), tau (T), perfusion (N1), and gray matter atrophy (N2) to microglial activation (TSPO, I) were calculated for each individual subject. Individual ATN-related microglial activation was correlated with clinical performance and CSF soluble TREM2 (sTREM2) concentrations. In typical and atypical AD, regional tau was stronger and more frequently associated with microglial activation when compared to regional Aβ (AD: βT = 0.412 ± 0.196 vs. βA = 0.142 ± 0.123, p < 0.001; AD-CBS: βT = 0.385 ± 0.176 vs. βA = 0.131 ± 0.186, p = 0.031). The strong association between regional tau and microglia reproduced well in primary tauopathies (βT = 0.418 ± 0.154). Stronger individual associations between tau and microglial activation were associated with poorer clinical performance. In patients with 4RT, sTREM2 levels showed a positive association with tau-related microglial activation. Tau pathology has strong regional associations with microglial activation in primary and secondary tauopathies. Tau and Aβ related microglial response indices may serve as a two-dimensional in vivo assessment of neuroinflammation in neurodegenerative diseases.
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Grants
- EXC 2145 SyNergy - ID 390857198 Deutsche Forschungsgemeinschaft (German Research Foundation)
- EXC 2155 - project number 39087428 Deutsche Forschungsgemeinschaft (German Research Foundation)
- HO2402/18-1 Deutsche Forschungsgemeinschaft (German Research Foundation)
- FOR-2858 project numbers 403161218, 421887978 and 422188432 Deutsche Forschungsgemeinschaft (German Research Foundation)
- 19063p Alzheimer Forschung Initiative (Alzheimer Forschung Initiative e.V.)
- GUH was additionally funded by the German Federal Ministry of Education and Research (BMBF, 01KU1403A EpiPD; 01EK1605A HitTau; 01DH18025 TauTherapy); European Joint Programme on Rare Diseases (Improve-PSP); VolkswagenStiftung (Niedersächsisches Vorab); Petermax-Müller Foundation (Etiology and Therapy of Synucleinopathies and Tauopathies). The Lüneburg Heritage and Friedrich-Baur-Stiftung have supported the work of CP. The Hirnliga e.V. supported recruitment and imaging of the ActiGliA cohort (Manfred-Strohscheer-Stiftung) by a grant to BSR and MB.
- TG received consulting fees from AbbVie, Alector, Anavex, Biogen, Eli Lilly, Functional Neuromodulation, Grifols, Iqvia, Noselab, Novo Nordisk, NuiCare, Orphanzyme, Roche Diagnostics, Roche Pharma, UCB, and Vivoryon; lecture fees from Grifols, Medical Tribune, Novo Nordisk, Roche Pharma, and Schwabe; and has received grants to his institution from Roche Diagnostics.
- CH collaborates with Denali Therapeutics. CH is chief advisor of ISAR Bioscience and a member of the advisory board of AviadoBio.
- Günter Höglinger participated in industry-sponsored research projects from Abbvie, Biogen, Biohaven, Novartis, Roche, Sanofi, UCB; serves as a consultant for Abbvie, Alzprotect, Aprineua, Asceneuron, Bial, Biogen, Biohaven, Kyowa Kirin, Lundbeck, Novartis, Retrotope, Roche, Sanofi, UCB; received honoraria for scientific presentations from Abbvie, Bayer Vital, Bial, Biogen, Bristol Myers Squibb, Kyowa Kirin, Roche, Teva, UCB, Zambon; holds a patent on Treatment of Synucleinopathies. United States Patent No.: US 10,918,628 B2: EP 17 787 904.6-1109 / 3 525 788; received publication royalties from Academic Press, Kohlhammer, and Thieme.
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Affiliation(s)
- Anika Finze
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Gloria Biechele
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
- NeuroImaging Core Unit Munich (NICUM), LMU University Hospital, LMU Munich, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Carla Palleis
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sabrina Katzdobler
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Endy Weidinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Selim Guersel
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sebastian Schuster
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Stefanie Harris
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Julia Schmitt
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Johannes Gnörich
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
| | - Christian H Wetzel
- Department of Psychiatry and Psychotherapy, University Regensburg, Regensburg, Germany
| | - Rainer Rupprecht
- Department of Psychiatry and Psychotherapy, University Regensburg, Regensburg, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Department of Nuclear Medicine, University Hospital, Inselspital Bern, Bern, Switzerland
| | - Adrian Danek
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Lena Burow
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Carolin Kurz
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Maia Tato
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Julia Utecht
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Boris Papazov
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
- NeuroImaging Core Unit Munich (NICUM), LMU University Hospital, LMU Munich, Munich, Germany
| | - Mirlind Zaganjori
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Lena-Katharina Trappmann
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Oliver Goldhardt
- Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Jan Haeckert
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, University of Augsburg, Augsburg, Germany
| | | | | | - Daniel Keeser
- NeuroImaging Core Unit Munich (NICUM), LMU University Hospital, LMU Munich, Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sophia Stoecklein
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Olaf Dietrich
- Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany
| | | | - Henryk Barthel
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mikael Simons
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Institute of Neuronal Cell Biology, Technical University of Munich, Munich, Germany
| | - Christian Haass
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Chair of Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, LMU Munich, Munich, Germany
| | - Günter U Höglinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Johannes Levin
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Neurology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Robert Perneczky
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
- Sheffield Institute for Translational Neurosciences (SITraN), University of Sheffield, Sheffield, UK
| | - Matthias Brendel
- Department of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.
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Stevenson-Hoare J, Schalkamp AK, Sandor C, Hardy J, Escott-Price V. New cases of dementia are rising in elderly populations in Wales, UK. J Neurol Sci 2023; 451:120715. [PMID: 37385025 PMCID: PMC7615574 DOI: 10.1016/j.jns.2023.120715] [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: 04/09/2023] [Revised: 06/02/2023] [Accepted: 06/15/2023] [Indexed: 07/01/2023]
Abstract
Dementia is one of the most common diseases in elderly populations, and older populations are one of the fastest growing groups globally. Consequently, the number of people developing and living with dementia is likely to grow. Using longitudinal medical records from Wales, UK between 1999 and 2018, diagnoses of overall dementia and common subtypes were combined with demographic data to assess numbers of new and existing cases per year. Data extraction resulted in 161,186 diagnoses from 116,645 individuals. Mean age at diagnosis of dementia increased over this period, resulting in fewer younger people with the disease. New cases of dementia have risen, as has the number of people living with dementia. Individuals with dementia are also living longer, even accounting for their older age. This may present a challenge for healthcare systems as the number of elderly people living with dementia is expected to continue to grow.
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Affiliation(s)
- Joshua Stevenson-Hoare
- Department of Psychological Medicine and Clinical Neuroscience, Cardiff University, United Kingdom; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, United Kingdom
| | - Ann-Kathrin Schalkamp
- Department of Psychological Medicine and Clinical Neuroscience, Cardiff University, United Kingdom; UK Dementia Research Institute at Cardiff University, United Kingdom
| | - Cynthia Sandor
- Department of Psychological Medicine and Clinical Neuroscience, Cardiff University, United Kingdom; UK Dementia Research Institute at Cardiff University, United Kingdom
| | - John Hardy
- Department of Neurodegenerative Disease, UCL Institute of Neurology, United Kingdom; UK Dementia Research Institute at UCL, London, United Kingdom
| | - Valentina Escott-Price
- Department of Psychological Medicine and Clinical Neuroscience, Cardiff University, United Kingdom; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, United Kingdom.
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Gaber A, Ahmed OM, Khadrawy YA, Zoheir KMA, Abo-ELeneen RE, Alblihed MA, Elbakry AM. Mesenchymal Stem Cells and Begacestat Mitigate Amyloid-β 25-35-Induced Cognitive Decline in Rat Dams and Hippocampal Deteriorations in Offspring. BIOLOGY 2023; 12:905. [PMID: 37508337 PMCID: PMC10376406 DOI: 10.3390/biology12070905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/11/2023] [Accepted: 06/21/2023] [Indexed: 07/30/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of age-related neurodegeneration and cognitive decline. AD more commonly occurs in females than in males, so it is necessary to consider new treatments specifically targeting this population. The present study investigated the protective effects of Begacestat (γ-secretase inhibitor-953, GSI-953) and bone marrow-derived mesenchymal stem cells (BM-MSCs) during pregnancy on cognitive impairment in rat dams and neurodegeneration in offspring caused by the intracerebroventricular injection of Aβ 25-35 before pregnancy. The performances of dams injected with amyloid-β 25-35 (Aβ 25-35) during behavioral tests were significantly impaired. The offspring of Aβ 25-35-injected dams treated with BM-MSCs or GSI-953 showed a dramatically reduced number and size of activated microglial cells, enhancement in the processes length, and a decrease in the proinflammatory cytokine levels. Additionally, BM-MSC or GSI-953 therapy reduced Aβ 25-35-induced increases in tau phosphorylation and amyloid precursor protein levels in the neonates' hippocampus and elevated the lower levels of glycogen synthase kinase-3 and brain-derived neurotrophic factor; moreover, reversed Aβ 25-35-induced alterations in gene expression in the neonatal hippocampus. Finally, the treatments with BM-MSC or GSI-953 are globally beneficial against Aβ 25-35-induced brain alterations, particularly by suppressing neural inflammation, inhibiting microglial cell activation, restoring developmental plasticity, and increasing neurotrophic signaling.
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Affiliation(s)
- Asmaa Gaber
- Comparative Anatomy and Embryology Division, Department of Zoology, Faculty of Science, Beni-Suef University, Beni-Suef P.O. Box 62521, Egypt
| | - Osama M Ahmed
- Physiology Division, Department of Zoology, Faculty of Science, Beni-Suef University, Beni-Suef P.O. Box 62521, Egypt
| | - Yasser A Khadrawy
- Medical Physiology Department, National Research Center, Giza P.O. Box 12622, Egypt
| | - Khairy M A Zoheir
- Cell Biology Department, National Research Center, Giza P.O. Box 12622, Egypt
| | - Rasha E Abo-ELeneen
- Comparative Anatomy and Embryology Division, Department of Zoology, Faculty of Science, Beni-Suef University, Beni-Suef P.O. Box 62521, Egypt
| | - Mohamed A Alblihed
- Department of Medical Microbiology, college of medicine, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | - Ahlam M Elbakry
- Comparative Anatomy and Embryology Division, Department of Zoology, Faculty of Science, Beni-Suef University, Beni-Suef P.O. Box 62521, Egypt
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Saenz J, Beam CR, Kim AJ. Development of a latent dementia index in the aging, demographics, and memory study: Validation and measurement invariance by sex. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12433. [PMID: 37187808 PMCID: PMC10175944 DOI: 10.1002/dad2.12433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/23/2023] [Accepted: 03/29/2023] [Indexed: 05/17/2023]
Abstract
Latent variable models can create a latent dementia index (LDI) using cognitive and functional ability to approximate dementia likelihood. The LDI approach has been applied across diverse cohorts. It is unclear whether sex affects its measurement properties. We use Wave A (2001-2003) of the Aging, Demographics, and Memory Study (n = 856). Multiple group confirmatory factor analysis (CFA) was used to test measurement invariance (MI) using informant-reported functional ability and cognitive performance tasks, which we group into verbal, nonverbal, and memory. Partial scalar invariance was found, allowing for testing sex differences in LDI means (MDiff = 0.38). The LDI correlated with consensus panel dementia diagnosis, Mini-Mental State Examination (MMSE), and dementia risk factors (low education, advanced age, and apolipoprotein ε4 [APOE-ε4] status) for men and women. The LDI validly captures dementia likelihood to permit estimation of sex differences. LDI sex differences indicate higher dementia likelihood in women, potentially due to social, environmental, and biological factors.
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Affiliation(s)
- Joseph Saenz
- Edson College of Nursing and Health InnovationArizona State UniversityPhoenixArizonaUSA
| | - Christopher R. Beam
- Davis School of GerontologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of PsychologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Alice J. Kim
- Davis School of GerontologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of PsychologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
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Min J, Rouanet J, Martini AC, Nashiro K, Yoo HJ, Porat S, Cho C, Wan J, Cole SW, Head E, Nation DA, Thayer JF, Mather M. Modulating heart rate oscillation affects plasma amyloid beta and tau levels in younger and older adults. Sci Rep 2023; 13:3967. [PMID: 36894565 PMCID: PMC9998394 DOI: 10.1038/s41598-023-30167-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 02/16/2023] [Indexed: 03/11/2023] Open
Abstract
Slow paced breathing via heart rate variability (HRV) biofeedback stimulates vagus-nerve pathways that counter noradrenergic stress and arousal pathways that can influence production and clearance of Alzheimer's disease (AD)-related proteins. Thus, we examined whether HRV biofeedback intervention affects plasma Αβ40, Αβ42, total tau (tTau), and phosphorylated tau-181 (pTau-181) levels. We randomized healthy adults (N = 108) to use slow-paced breathing with HRV biofeedback to increase heart rate oscillations (Osc+) or to use personalized strategies with HRV biofeedback to decrease heart rate oscillations (Osc-). They practiced 20-40 min daily. Four weeks of practicing the Osc+ and Osc- conditions produced large effect size differences in change in plasma Aβ40 and Aβ42 levels. The Osc+ condition decreased plasma Αβ while the Osc- condition increased Αβ. Decreases in Αβ were associated with decreases in gene transcription indicators of β-adrenergic signaling, linking effects to the noradrenergic system. There were also opposing effects of the Osc+ and Osc- interventions on tTau for younger adults and pTau-181 for older adults. These results provide novel data supporting a causal role of autonomic activity in modulating plasma AD-related biomarkers.Trial registration: NCT03458910 (ClinicalTrials.gov); first posted on 03/08/2018.
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Affiliation(s)
- Jungwon Min
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Kaoru Nashiro
- University of Southern California, Los Angeles, CA, USA
| | - Hyun Joo Yoo
- University of Southern California, Los Angeles, CA, USA
| | - Shai Porat
- University of Southern California, Los Angeles, CA, USA
| | - Christine Cho
- University of Southern California, Los Angeles, CA, USA
| | - Junxiang Wan
- University of Southern California, Los Angeles, CA, USA
| | - Steve W Cole
- University of California, Los Angeles, Los Angeles, CA, USA
| | | | | | | | - Mara Mather
- University of Southern California, Los Angeles, CA, USA.
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7
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Yao W, Che J, Zhao C, Zhang X, Zhou H, Bai F. Treatment of Alzheimer's disease by microcapsule regulates neurotransmitter release via microfluidic technology. ENGINEERED REGENERATION 2023. [DOI: 10.1016/j.engreg.2023.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2023] Open
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Kim J, Kim YK. Molecular Imaging of Neuroinflammation in Alzheimer's Disease and Mild Cognitive Impairment. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1411:301-326. [PMID: 36949316 DOI: 10.1007/978-981-19-7376-5_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
Alzheimer's disease (AD) is the most prevalent neurocognitive disorder. Due to the ineffectiveness of treatments targeting the amyloid cascade, molecular biomarkers for neuroinflammation are attracting attention with increasing knowledge about the role of neuroinflammation in the pathogenesis of AD. This chapter will explore the results of studies using molecular imaging for diagnosing AD and mild cognitive impairment (MCI). Because it is critical to interpreting the data to understand which substances are targeted in molecular imaging, this chapter will discuss the two most significant targets, microglia and astrocytes, as well as the best-known radioligands for each. Then, neuroimaging results with PET neuroinflammation imaging will be reviewed for AD and MCI. Although a growing body of evidence has suggested that these molecular imaging biomarkers for neuroinflammation may have a role in the diagnosis of AD and MCI, the findings are inconsistent or cross-sectional, which indicates that it is difficult to apply the contents in practice due to the need for additional study. In particular, because the results of multiple interventions targeting neuroinflammation were inconclusive, molecular imaging markers for neuroinflammation can be used in combination with conventional markers to select appropriate patients for early intervention for neuroinflammation rather than as a single marker.
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Affiliation(s)
- Junhyung Kim
- Department of Psychiatry, Korea University College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yong-Ku Kim
- Department of Psychiatry, Korea University Ansan Hospital, Ansan, Republic of Korea.
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9
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Preemptive Diagnosis of Alzheimer’s Disease in the Eastern Province of Saudi Arabia Using Computational Intelligence Techniques. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:5476714. [PMID: 36052046 PMCID: PMC9427223 DOI: 10.1155/2022/5476714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 06/24/2022] [Accepted: 07/11/2022] [Indexed: 11/17/2022]
Abstract
Alzheimer’s Disease (AD) is a silent disease that causes the brain cells to die progressively, influencing consciousness, behavior, planning ability, and language to name a few. AD increases exponentially with aging, where it doubles every 5-6 years, causing profound implications, such as swallowing difficulties and losing the ability to speak before death. According to the Ministry of Health in Saudi Arabia, AD patients will triple by 2060 to reach 14 million patients worldwide. The rapid rise of patients is caused by the silent progress of the disease, leading to late diagnosis as the symptoms will not be distinguished from normal aging affect. Moreover, with the current medical capabilities, it is impossible to confirm AD with 100% certainty via specific medical examinations. The literature review revealed that most recent publications used images to diagnose AD, which is insufficient for local hospitals with limited imaging capabilities. Other studies that used clinical and demographical data failed to achieve adequate results. Consequently, this study aims to preemptively predict AD in Saudi Arabia by employing machine learning (ML) techniques. The dataset was acquired from King Fahad Specialist Hospital (KFSH) in Dammam, Saudi Arabia, containing standard clinical tests for 152 patients. Four ML algorithms, namely, support vector machine (SVM), k-nearest neighbors (k-NN), Adaptive Boosting (AdaBoost), and eXtreme Gradient Boosting (XGBoost), were employed to preemptively diagnose the disease. The empirical results demonstrated the robustness of SVM in the pre-emptive diagnosis of AD with accuracy, precision, recall, and area under the receiver operating characteristics (AUROC) of 95.56%, 94.70%, 97.78%, and 0.97, respectively, with 13 features after applying the sequential forward feature selection technique. This model can assist the medical staff in controlling the progression of the disease at low costs.
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Jutkowitz E, Halladay C, Tsai J, Hooshyar D, Quach L, O’Toole T, Rudolph JL. Prevalence of Alzheimer's disease and related dementias among veterans experiencing housing insecurity. Alzheimers Dement 2022; 18:1306-1313. [PMID: 34757668 PMCID: PMC10257219 DOI: 10.1002/alz.12476] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 07/01/2021] [Accepted: 08/11/2021] [Indexed: 11/10/2022]
Abstract
INTRODUCTION Housing insecure veterans are aging, but the prevalence of Alzheimer's disease and related dementias (AD/ADRD) in the population is unknown. METHODS We calculated the prevalence of AD/ADRD diagnoses in 2018 among veterans that experienced homelessness, were at-risk for homelessness, or were stably housed. We determined acute care (emergency department, hospitalizations, psychiatric hospitalizations), and any long-term care (nursing home, and community-based) use by housing status among veterans with an AD/ADRD diagnosis. RESULTS The overall prevalence of AD/ADRD diagnoses for homeless, at-risk, and stably housed veterans was 3.66%, 13.48%, and 3.04%, respectively. Housing insecure veterans with AD/ADRD used more acute care, and were more likely to have a nursing home admission compared to stably housed veterans. At risk, but not homeless veterans, were more likely to use US Department of Veterans Affairs-paid home and community-based care than stably housed veterans. DISCUSSION The prevalence of AD/ADRD diagnoses is greater among housing insecure veterans than stably housed veterans.
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Affiliation(s)
- Eric Jutkowitz
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Christopher Halladay
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, USA
| | - Jack Tsai
- VA National Center on Homelessness among Veterans, Tampa, Florida, USA
- School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Dina Hooshyar
- VA National Center on Homelessness among Veterans, Tampa, Florida, USA
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Lien Quach
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, USA
- Department of Gerontology, University of Massachusetts Boston, Boston, Massachusetts, USA
- VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Thomas O’Toole
- Providence VA Medical Center, Providence, Rhode Island, USA
- Brown University Warren Alpert Medical School, Providence, Rhode Island, USA
| | - James L. Rudolph
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
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11
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Goyzueta-Mamani LD, Chávez-Fumagalli MA, Alvarez-Fernandez K, Aguilar-Pineda JA, Nieto-Montesinos R, Davila Del-Carpio G, Vera-Lopez KJ, Lino Cardenas CL. Alzheimer's Disease: A Silent Pandemic - A Systematic Review on the Situation and Patent Landscape of the Diagnosis. Recent Pat Biotechnol 2022; 16:355-378. [PMID: 35400333 DOI: 10.2174/1872208316666220408114129] [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: 07/16/2021] [Revised: 01/13/2022] [Accepted: 02/17/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) is characterized by cognitive impairment, tau protein deposits, and amyloid beta plaques. AD impacted 44 million people in 2016, and it is estimated to affect 100 million people by 2050. AD is disregarded as a pandemic compared with other diseases. To date, there is no effective treatment or diagnosis. OBJECTIVE We aimed to discuss the current tools used to diagnose COVID-19, to point out their potential to be adapted for AD diagnosis, and to review the landscape of existing patents in the AD field and future perspectives for AD diagnosis. METHOD We carried out a scientific screening following a research strategy in PubMed; Web of Science; the Derwent Innovation Index; the KCI-Korean Journal Database; SciELO; the Russian Science Citation index; and the CDerwent, EDerwent, and MDerwent index databases. RESULTS A total of 326 from 6,446 articles about AD and 376 from 4,595 articles about COVID-19 were analyzed. Of these, AD patents were focused on biomarkers and neuroimaging with no accurate, validated diagnostic methods, and only 7% of kit development patents were found. In comparison, COVID-19 patents were 60% about kit development for diagnosis; they are highly accurate and are now commercialized. CONCLUSION AD is still neglected and not recognized as a pandemic that affects the people and economies of all nations. There is a gap in the development of AD diagnostic tools that could be filled if the interest and effort that has been invested to tackle the COVID-19 emergency could also be applied for innovation.
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Affiliation(s)
- Luis Daniel Goyzueta-Mamani
- Laboratory of Genomics and Neurovascular Diseases, Vicerrectorado de investigacion, Universidad Catolica de Santa Maria, Arequipa, Peru
| | - Miguel Angel Chávez-Fumagalli
- Laboratory of Genomics and Neurovascular Diseases, Vicerrectorado de investigacion, Universidad Catolica de Santa Maria, Arequipa, Peru
| | - Karla Alvarez-Fernandez
- Laboratory of Genomics and Neurovascular Diseases, Vicerrectorado de investigacion, Universidad Catolica de Santa Maria, Arequipa, Peru
| | - Jorge A Aguilar-Pineda
- Laboratory of Genomics and Neurovascular Diseases, Vicerrectorado de investigacion, Universidad Catolica de Santa Maria, Arequipa, Peru
| | - Rita Nieto-Montesinos
- Laboratory of Genomics and Neurovascular Diseases, Vicerrectorado de investigacion, Universidad Catolica de Santa Maria, Arequipa, Peru
| | - Gonzalo Davila Del-Carpio
- Laboratory of Genomics and Neurovascular Diseases, Vicerrectorado de investigacion, Universidad Catolica de Santa Maria, Arequipa, Peru
| | - Karin J Vera-Lopez
- Laboratory of Genomics and Neurovascular Diseases, Vicerrectorado de investigacion, Universidad Catolica de Santa Maria, Arequipa, Peru
| | - Christian L Lino Cardenas
- Cardiovascular Research Center, Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
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12
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Blume T, Deussing M, Biechele G, Peters F, Zott B, Schmidt C, Franzmeier N, Wind K, Eckenweber F, Sacher C, Shi Y, Ochs K, Kleinberger G, Xiang X, Focke C, Lindner S, Gildehaus FJ, Beyer L, von Ungern-Sternberg B, Bartenstein P, Baumann K, Adelsberger H, Rominger A, Cumming P, Willem M, Dorostkar MM, Herms J, Brendel M. Chronic PPARγ Stimulation Shifts Amyloidosis to Higher Fibrillarity but Improves Cognition. Front Aging Neurosci 2022; 14:854031. [PMID: 35431893 PMCID: PMC9007038 DOI: 10.3389/fnagi.2022.854031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/25/2022] [Indexed: 11/30/2022] Open
Abstract
We undertook longitudinal β-amyloid positron emission tomography (Aβ-PET) imaging as a translational tool for monitoring of chronic treatment with the peroxisome proliferator-activated receptor gamma (PPARγ) agonist pioglitazone in Aβ model mice. We thus tested the hypothesis this treatment would rescue from increases of the Aβ-PET signal while promoting spatial learning and preservation of synaptic density. Here, we investigated longitudinally for 5 months PS2APP mice (N = 23; baseline age: 8 months) and AppNL–G–F mice (N = 37; baseline age: 5 months) using Aβ-PET. Groups of mice were treated with pioglitazone or vehicle during the follow-up interval. We tested spatial memory performance and confirmed terminal PET findings by immunohistochemical and biochemistry analyses. Surprisingly, Aβ-PET and immunohistochemistry revealed a shift toward higher fibrillary composition of Aβ-plaques during upon chronic pioglitazone treatment. Nonetheless, synaptic density and spatial learning were improved in transgenic mice with pioglitazone treatment, in association with the increased plaque fibrillarity. These translational data suggest that a shift toward higher plaque fibrillarity protects cognitive function and brain integrity. Increases in the Aβ-PET signal upon immunomodulatory treatments targeting Aβ aggregation can thus be protective.
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Affiliation(s)
- Tanja Blume
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
| | - Maximilian Deussing
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Gloria Biechele
- Department of Radiology, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Finn Peters
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
| | - Benedikt Zott
- Institute of Neuroscience, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Claudio Schmidt
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Karin Wind
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Florian Eckenweber
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Christian Sacher
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Yuan Shi
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
| | - Katharina Ochs
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
| | - Gernot Kleinberger
- Metabolic Biochemistry, Faculty of Medicine, Biomedical Center (BMC), Ludwig Maximilian University of Munich, Munich, Germany
- ISAR Bioscience GmbH, Planegg, Germany
| | - Xianyuan Xiang
- Metabolic Biochemistry, Faculty of Medicine, Biomedical Center (BMC), Ludwig Maximilian University of Munich, Munich, Germany
| | - Carola Focke
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Franz-Josef Gildehaus
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Barbara von Ungern-Sternberg
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Karlheinz Baumann
- Roche Pharma Research and Early Development, Neuroscience Discovery, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
| | - Helmuth Adelsberger
- Department of Radiology, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Axel Rominger
- SyNergy, Ludwig Maximilian University of Munich, Munich, Germany
- Department of Nuclear Medicine, Inselspital Bern, Bern, Switzerland
| | - Paul Cumming
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD, Australia
| | - Michael Willem
- Metabolic Biochemistry, Faculty of Medicine, Biomedical Center (BMC), Ludwig Maximilian University of Munich, Munich, Germany
| | - Mario M. Dorostkar
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
- Center for Neuropathology and Prion Research, Ludwig Maximilian University of Munich, Munich, Germany
| | - Jochen Herms
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
- SyNergy, Ludwig Maximilian University of Munich, Munich, Germany
- Center for Neuropathology and Prion Research, Ludwig Maximilian University of Munich, Munich, Germany
| | - Matthias Brendel
- DZNE – German Center for Neurodegenerative Diseases, Munich, Germany
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
- SyNergy, Ludwig Maximilian University of Munich, Munich, Germany
- *Correspondence: Matthias Brendel,
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Kiper P, Richard M, Stefanutti F, Pierson-Poinsignon R, Cacciante L, Perin C, Mazzucchelli M, Viganò B, Meroni R. Combined Motor and Cognitive Rehabilitation: The Impact on Motor Performance in Patients with Mild Cognitive Impairment. Systematic Review and Meta-Analysis. J Pers Med 2022; 12:jpm12020276. [PMID: 35207764 PMCID: PMC8874573 DOI: 10.3390/jpm12020276] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 01/15/2022] [Accepted: 02/11/2022] [Indexed: 01/27/2023] Open
Abstract
Mild cognitive impairment (MCI), a neurodegenerative disease leading to Alzheimer’s disease or dementia, is often associated with physical complaints. Combined physical and cognitive training (PCT) has been investigated to see the effects on cognitive function, but its impact on motor functions and activities of daily living has not been explored yet. The combination of physical and cognitive training may be a valuable non-pharmacological intervention that could preserve motor function and quality of life (QoL). We aimed, therefore, to analyze if combined PCT is effective at improving motor performance in patients with an MCI. A systematic electronic literature search and a meta-analysis were conducted. The following criteria were compulsory for inclusion in the study: (1) randomized controlled trial design; (2) combined PCT compared to motor training alone or no intervention; (3) motor outcomes as a study’s end point. Nine articles met the inclusion criteria. Results showed that PCT significantly enhances balance compared to motor training alone (SMD 0.56; 95% CI 0.07 to 1.06; I2 = 59%; 160 participants), whereas a significant improvement was found for mobility in the PCT group when compared to no intervention (MD −1.80; 95% CI −2.70 to −0.90; I2 = 0%; 81 participants). However, there is no evidence that people with MCI experience an increase in gait speed and QoL at the end of their practice sessions. Further investigation with larger samples and a longer period of monitoring after intervention should be undertaken.
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Affiliation(s)
- Pawel Kiper
- Physical Medicine and Rehabilitation Unit, Azienda ULSS 3 Serenissima, 30126 Venice, Italy
- Correspondence: ; Tel.: +39-0415295485
| | - Michelle Richard
- Department of Physiotherapy, LUNEX International University of Health Exercise and Sports, L-4671 Differdange, Luxembourg; (M.R.); (F.S.); (R.P.-P.); (R.M.)
| | - Françoise Stefanutti
- Department of Physiotherapy, LUNEX International University of Health Exercise and Sports, L-4671 Differdange, Luxembourg; (M.R.); (F.S.); (R.P.-P.); (R.M.)
| | - Romain Pierson-Poinsignon
- Department of Physiotherapy, LUNEX International University of Health Exercise and Sports, L-4671 Differdange, Luxembourg; (M.R.); (F.S.); (R.P.-P.); (R.M.)
| | - Luisa Cacciante
- Laboratory of Rehabilitation Technologies, IRCCS San Camillo Hospital, 30126 Venice, Italy;
| | - Cecilia Perin
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy; (C.P.); (M.M.)
- GDS Foundation, 20841 Carate Brianza, Italy;
| | - Miryam Mazzucchelli
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy; (C.P.); (M.M.)
- GDS Foundation, 20841 Carate Brianza, Italy;
| | | | - Roberto Meroni
- Department of Physiotherapy, LUNEX International University of Health Exercise and Sports, L-4671 Differdange, Luxembourg; (M.R.); (F.S.); (R.P.-P.); (R.M.)
- Luxembourg Health & Sport Sciences Research Institute A.s.b.l., L-4671 Differdange, Luxembourg
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14
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Jack CR, Therneau TM, Lundt ES, Wiste HJ, Mielke MM, Knopman DS, Graff-Radford J, Lowe VJ, Vemuri P, Schwarz CG, Senjem ML, Gunter JL, Petersen RC. Long-term associations between amyloid positron emission tomography, sex, apolipoprotein E and incident dementia and mortality among individuals without dementia: hazard ratios and absolute risk. Brain Commun 2022; 4:fcac017. [PMID: 35310829 PMCID: PMC8924651 DOI: 10.1093/braincomms/fcac017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/08/2021] [Accepted: 01/31/2022] [Indexed: 11/14/2022] Open
Abstract
Dementia and mortality rates rise inexorably with age and consequently interact. However, because of the major logistical difficulties in accounting for both outcomes in a defined population, very little work has examined how risk factors and biomarkers for incident dementia are influenced by competing mortality. The objective of this study was to examine long-term associations between amyloid PET, APOE ɛ4, sex, education and cardiovascular/metabolic conditions, and hazard and absolute risk of dementia and mortality in individuals without dementia at enrolment. Participants were enrolled in the Mayo Clinic Study of Aging, a population-based study of cognitive ageing in Olmsted County, MN, USA. All were without dementia and were age 55-92 years at enrolment and were followed longitudinally. Predictor variables were amyloid PET, APOE ɛ4 status, sex, education, cardiovascular/metabolic conditions and age. The main outcomes were incident dementia and mortality. Multivariable, multi-state models were used to estimate mortality and incident dementia rates and absolute risk of dementia and mortality by predictor variable group. Of the 4984 participants in the study, 4336 (87%) were cognitively unimpaired and 648 (13%) had mild cognitive impairment at enrolment. The median age at enrolment was 75 years; 2463 (49%) were women. The median follow-up time was 9.4 years (7.5 years after PET). High versus normal amyloid (hazard ratio 2.11, 95% confidence interval 1.43-2.79), APOE ɛ4 (women: hazard ratio 2.24, 95% confidence interval 1.80-2.77; men: hazard ratio 1.37, 95% confidence interval 1.09-1.71), older age and two additional cardiovascular/metabolic conditions (hazard ratio 1.37, 95% confidence interval 1.22-1.53) were associated with the increased hazard of dementia (all P < 0.001). Among APOE ɛ4 carriers with elevated amyloid, remaining lifetime risk of dementia at age 65 years was greater in women [74% (95% confidence interval 65-84%) high and 58% (95% confidence interval 52-65%) moderate amyloid], than men [62% (95% confidence interval 52-73%) high and 44% (95% confidence interval 35-53%) moderate amyloid]. Overall, the hazard and absolute risk of dementia varied considerably by predictor group. The absolute risk of dementia associated with predictors characteristic of Alzheimer's disease was greater in women than men while at the same time the combination of APOE ɛ4 non-carrier with normal amyloid was more protective in women than men. This set of findings may be attributed in part to different biological effects and in part to lower mortality rates in women.
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Affiliation(s)
| | - Terry M. Therneau
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Emily S. Lundt
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Heather J. Wiste
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Michelle M. Mielke
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | - Val J. Lowe
- Department of Nuclear Medicine, Mayo Clinic, Rochester, MN, USA
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15
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Ontario ML, Siracusa R, Modafferi S, Scuto M, Sciuto S, Greco V, Bertuccio MP, Salinaro AT, Crea R, Calabrese EJ, Di Paola R, Calabrese V. POTENTIAL PREVENTION AND TREATMENT OF NEURODEGENERATIVE DISORDERS BY OLIVE POLYPHENOLS AND HYDROX. Mech Ageing Dev 2022; 203:111637. [DOI: 10.1016/j.mad.2022.111637] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 01/27/2022] [Accepted: 01/31/2022] [Indexed: 12/15/2022]
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16
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Chyr J, Gong H, Zhou X. DOTA: Deep Learning Optimal Transport Approach to Advance Drug Repositioning for Alzheimer's Disease. Biomolecules 2022; 12:196. [PMID: 35204697 PMCID: PMC8961573 DOI: 10.3390/biom12020196] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/16/2022] [Accepted: 01/22/2022] [Indexed: 02/04/2023] Open
Abstract
Alzheimer's disease (AD) is the leading cause of age-related dementia, affecting over 5 million people in the United States and incurring a substantial global healthcare cost. Unfortunately, current treatments are only palliative and do not cure AD. There is an urgent need to develop novel anti-AD therapies; however, drug discovery is a time-consuming, expensive, and high-risk process. Drug repositioning, on the other hand, is an attractive approach to identify drugs for AD treatment. Thus, we developed a novel deep learning method called DOTA (Drug repositioning approach using Optimal Transport for Alzheimer's disease) to repurpose effective FDA-approved drugs for AD. Specifically, DOTA consists of two major autoencoders: (1) a multi-modal autoencoder to integrate heterogeneous drug information and (2) a Wasserstein variational autoencoder to identify effective AD drugs. Using our approach, we predict that antipsychotic drugs with circadian effects, such as quetiapine, aripiprazole, risperidone, suvorexant, brexpiprazole, olanzapine, and trazadone, will have efficacious effects in AD patients. These drugs target important brain receptors involved in memory, learning, and cognition, including serotonin 5-HT2A, dopamine D2, and orexin receptors. In summary, DOTA repositions promising drugs that target important biological pathways and are predicted to improve patient cognition, circadian rhythms, and AD pathogenesis.
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Affiliation(s)
- Jacqueline Chyr
- Center for Computational Systems Medicine, School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX 77030, USA;
| | - Haoran Gong
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China;
| | - Xiaobo Zhou
- Center for Computational Systems Medicine, School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX 77030, USA;
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Wang F, Fei M, Hu WZ, Wang XD, Liu S, Zeng Y, Zhang JH, Lv Y, Niu JP, Meng XL, Cai P, Li Y, Gang BZ, You Y, Lv Y, Ji Y. Prevalence of Constipation in Elderly and Its Association With Dementia and Mild Cognitive Impairment: A Cross-Sectional Study. Front Neurosci 2022; 15:821654. [PMID: 35140587 PMCID: PMC8819140 DOI: 10.3389/fnins.2021.821654] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 12/31/2021] [Indexed: 12/12/2022] Open
Abstract
Background Constipation and dementia have similar epidemiological characteristics. Changes in intestinal flora and characteristics of the brain-gut axis play roles in the pathogeneses of the two diseases, suggesting that there may be a close connection between the two. Most of the studies on constipation in dementia patients have focused on the population with α-synucleinopathies [Parkinson’s disease dementia (PDD), dementia with Lewy bodies (DLB)]. Few studies have reported the prevalence of constipation in all-cause dementia and mild cognitive impairment (MCI) populations. Objective To assess the prevalence of constipation in patients with all-cause dementia and MCI subtypes and to explore the association between constipation with dementia and MCI subtypes. Methods From May 2019 to December 2019, we conducted a population-based cross-sectional survey. A total of 11,743 participants aged 65 or older from nine cities in China were surveyed. Participants underwent a series of clinical examinations and neuropsychological measurements. Constipation, dementia, MCI and MCI subtype were diagnosed according to established criteria through standard diagnostic procedures. Results The overall age- and sex-adjusted prevalence of constipation in individuals aged 65 years and older was 14.8% (95% CI, 14.6–15.0). The prevalence rates of constipation were19.2% (95% CI, 17.3–21.0), 19.1% (95% CI, 16.8–21.5), 14.4% (95% CI, 12.8–15.9), and 13.8% (95% CI, 13.0–14.6) in the dementia, non-amnestic (na)-MCI, amnestic (a)-MCI and normal cognition populations, respectively. Multivariate logistic regression analysis showed that higher prevalence of constipation was associated with dementia (p = 0.0.032, OR = 1.18, 95% CI: 1.02–1.38) and na-MCI (p = 0.003, OR = 1.30, 95% CI: 1.09–1.54). Conclusion The present study found a high prevalence of constipation in elderly individuals in China, and higher in patients with dementia and na-MCI.
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Affiliation(s)
- Fei Wang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Yuncheng Central Hospital, Shanxi Medical University, Yuncheng, China
| | - Min Fei
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Yuncheng Central Hospital, Shanxi Medical University, Yuncheng, China
| | - Wen-Zheng Hu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xiao-Dan Wang
- Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Department of Neurology, Tianjin Dementia Institute, Tianjin Huanhu Hospital, Tianjin, China
| | - Shuai Liu
- Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Department of Neurology, Tianjin Dementia Institute, Tianjin Huanhu Hospital, Tianjin, China
| | - Yan Zeng
- Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, Wuhan, China
| | - Jin-Hong Zhang
- Department of Neurology, Cangzhou People’s Hospital, Cangzhou, China
| | - Yang Lv
- Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jian-ping Niu
- Department of Neurology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China
| | - Xin-ling Meng
- Department of Neurology, Affiliated Traditional Chinese Medicine Hospital of Xinjiang Medical University, Urumqi, China
| | - Pan Cai
- Dementia Clinic, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Yang Li
- Department of Neurology, The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Bao-zhi Gang
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yong You
- Department of Neurology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yan Lv
- Department of Neurology, Hainan General Hospital, Haikou, China
| | - Yong Ji
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Beijing, China
- Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Department of Neurology, Tianjin Dementia Institute, Tianjin Huanhu Hospital, Tianjin, China
- *Correspondence: Yong Ji,
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Shevchuk DV, Abramova AA, Zakharova MN. The Role of Inflammasomes in the Pathogenesis of Neurodegenerative Diseases. NEUROCHEM J+ 2022; 16. [PMCID: PMC9575632 DOI: 10.1134/s1819712422030114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Abstract—Protein misfolding and accumulation of protein aggregates is a distinctive feature of most neurodegenerative diseases. They lead to disruption of cellular homeostasis, loss of synaptic connections, and therefore cellular apoptosis. It has been demonstrated that some innate immune responses play an important role in the emergence and progression of neurodegenerative diseases. Inflammasomes are components of innate immunity that play a major role in the maintenance of chronic inflammation. Inflammasomes function as intracellular sensors, detecting both exogenous and endogenous stimuli. They also take part in caspase-1 activation and the synthesis of pro-inflammatory cytokines. In the central nervous system (CNS), inflammasomes are predominantly expressed by microglia, the key cells of innate immunity responsible for activation and maintenance of inflammation. In addition to microglia, inflammasomes can be expressed and activated by astrocytes and neurons, as well as infiltrating myeloid cells. Understanding the mechanisms of activation and functioning of inflammasomes is crucial for the development of novel drugs targeted at modulation of the immune response associated with their excessive activation. This review provides up-to-date information on the inflammasome structure and mechanisms of action, the role of protein misfolding, aggregation and the influence of these factors on inflammasome activation, as well as potential therapeutic targets in neurodegenerative diseases.
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19
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Wong RT, Cafferky BM, Alejandro JP. Chronic disease and elder mistreatment: A meta-analysis. Int J Geriatr Psychiatry 2022; 37. [PMID: 34633703 DOI: 10.1002/gps.5640] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 10/03/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVE This meta-analysis investigated the relationships between chronic diseases and different forms of elder mistreatment (physical, emotional, sexual, financial, neglect, or overall abuse). METHOD Twelve different chronic disease risk markers linked to elder mistreatment were gathered from 48 studies (yielding 178 effect sizes (ESs) and a combined sample size of n = 390,785), then organized in to four broad chronic disease categories: endocrine disease, heart disease, neurological disease, and other chronic diseases. Data were analyzed with Comprehensive Meta-Analysis Software using a random effects approach. RESULTS Neurological disease (odds ratio [OR] = 1.51), endocrine disease (OR = 1.38), heart disease (OR = 1.17), and other chronic diseases (OR = 1.26) were all significantly associated with elder mistreatments. Neurological disease (OR = 1.51) was found to have a significantly stronger association with elder mistreatment when compared to the heart disease category (OR = 1.17) and the other chronic disease category (OR = 1.26). When specifically investigating emotional abuse, there was a significantly stronger link with neurological disease (OR = 1.48) compared to other chronic diseases (OR = 1.21). CONCLUSIONS This study provides the first meta-analytic benchmarks for understanding the links between chronic disease risk markers and different forms of elder mistreatment.
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Affiliation(s)
- Ryan T Wong
- Department of Psychology, Loma Linda University, Loma Linda, California, USA
| | - Bryan M Cafferky
- Department of Psychology, Loma Linda University, Loma Linda, California, USA
| | - Jedd P Alejandro
- Department of Psychology, Loma Linda University, Loma Linda, California, USA
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20
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Key Mechanisms and Potential Implications of Hericium erinaceus in NLRP3 Inflammasome Activation by Reactive Oxygen Species during Alzheimer's Disease. Antioxidants (Basel) 2021; 10:antiox10111664. [PMID: 34829535 PMCID: PMC8615045 DOI: 10.3390/antiox10111664] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 10/19/2021] [Accepted: 10/20/2021] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the principal cause of dementia, and its incidence increases with age. Altered antioxidant systems and inflammation have an important role in the etiology of neurodegenerative disorders. In this study, we evaluated the effects of Hericium erinaceus, a nutritional mushroom with important antioxidant effects, in a rat model of AD. Animals were injected with 70 mg/Kg of AlCl3 daily for 6 weeks, and Hericium erinaceus was administered daily by gavage. Before the experiment’s end date, behavioral test training was performed. At the end of the study, behavioral changes were assessed, and the animals were euthanized. Brain tissues were harvested for further analysis. AlCl3 mainly accumulates in the hippocampus, the principal region of the brain involved in memory functions and learning. Hericium erinaceus administration reduced behavioral changes and hippocampal neuronal degeneration. Additionally, it reduced phosphorylated Tau levels, aberrant APP overexpression, and β-amyloid accumulation. Moreover, Hericium erinaceus decreased the pro-oxidative and pro-inflammatory hippocampal alterations induced by AD. In particular, it reduced the activation of the NLRP3 inflammasome components, usually activated by increased oxidative stress during AD. Collectively, our results showed that Hericium erinaceus has protective effects on behavioral alteration and histological modification associated with AD due to the modulation of the oxidative and inflammatory pathways, as well as regulating cellular brain stress.
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21
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Xu X, Shen X, Wang J, Feng W, Wang M, Miao X, Wu Q, Wu L, Wang X, Ma Y, Wu S, Bao X, Wang W, Wang Y, Huang Z. YAP prevents premature senescence of astrocytes and cognitive decline of Alzheimer's disease through regulating CDK6 signaling. Aging Cell 2021; 20:e13465. [PMID: 34415667 PMCID: PMC8441453 DOI: 10.1111/acel.13465] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 07/15/2021] [Accepted: 08/07/2021] [Indexed: 12/12/2022] Open
Abstract
Senescent astrocytes accumulate with aging and contribute to brain dysfunction and diseases such as Alzheimer's disease (AD), however, the mechanisms underlying the senescence of astrocytes during aging remain unclear. In the present study, we found that Yes‐associated Protein (YAP) was downregulated and inactivated in hippocampal astrocytes of aging mice and AD model mice, as well as in D‐galactose and paraquat‐induced senescent astrocytes, in a Hippo pathway‐dependent manner. Conditional knockout of YAP in astrocytes significantly promoted premature senescence of astrocytes, including reduction of cell proliferation, hypertrophic morphology, increase in senescence‐associated β‐galactosidase activity, and upregulation of several senescence‐associated genes such as p16, p53 and NF‐κB, and downregulation of Lamin B1. Further exploration of the underlying mechanism revealed that the expression of cyclin‐dependent kinase 6 (CDK6) was decreased in YAP knockout astrocytes in vivo and in vitro, and ectopic overexpression of CDK6 partially rescued YAP knockout‐induced senescence of astrocytes. Finally, activation of YAP signaling by XMU‐MP‐1 (an inhibitor of Hippo kinase MST1/2) partially rescued the senescence of astrocytes and improved the cognitive function of AD model mice and aging mice. Taken together, our studies identified unrecognized functions of YAP‐CDK6 pathway in preventing astrocytic senescence in vitro and in vivo, which may provide further insights and new targets for delaying brain aging and aging‐related neurodegenerative diseases such as AD.
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Affiliation(s)
- Xingxing Xu
- School of Basic Medical Sciences Wenzhou Medical University Wenzhou China
| | - Xiya Shen
- School of Basic Medical Sciences Wenzhou Medical University Wenzhou China
| | - Jiaojiao Wang
- School of Basic Medical Sciences Wenzhou Medical University Wenzhou China
| | - Wenjin Feng
- Zhejiang Sinogen Medical Equipment Co., Ltd Wenzhou China
| | - Mianxian Wang
- School of Basic Medical Sciences Wenzhou Medical University Wenzhou China
| | - Xuemeng Miao
- School of Mental Health Wenzhou Medical University Wenzhou China
| | - Qian Wu
- School of Mental Health Wenzhou Medical University Wenzhou China
| | - Lihao Wu
- School of the First Clinical Medical Sciences School of Information and Engineering Wenzhou Medical University Wenzhou China
| | - Xiaoning Wang
- School of the First Clinical Medical Sciences School of Information and Engineering Wenzhou Medical University Wenzhou China
| | - Yimin Ma
- School of Mental Health Wenzhou Medical University Wenzhou China
| | - Shuang Wu
- School of the First Clinical Medical Sciences School of Information and Engineering Wenzhou Medical University Wenzhou China
| | - Xiaomei Bao
- School of Basic Medical Sciences Wenzhou Medical University Wenzhou China
- Department of Obstetrics and Gynecology Wenzhou People's Hospital Wenzhou China
| | - Wei Wang
- School of Mental Health Wenzhou Medical University Wenzhou China
| | - Ying Wang
- Phase I Clinical Research Center Zhejiang Provincial People's Hospital of Hangzhou Medical College Hangzhou China
| | - Zhihui Huang
- School of Basic Medical Sciences Wenzhou Medical University Wenzhou China
- School of Mental Health Wenzhou Medical University Wenzhou China
- College of Pharmacy Hangzhou Normal University Hangzhou China
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22
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Ajoolabady A, Aslkhodapasandhokmabad H, Henninger N, Demillard LJ, Nikanfar M, Nourazarian A, Ren J. Targeting autophagy in neurodegenerative diseases: From molecular mechanisms to clinical therapeutics. Clin Exp Pharmacol Physiol 2021; 48:943-953. [PMID: 33752254 PMCID: PMC8204470 DOI: 10.1111/1440-1681.13500] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/17/2021] [Accepted: 03/18/2021] [Indexed: 02/06/2023]
Abstract
Many neurodegenerative diseases are associated with pathological aggregation of proteins in neurons. Autophagy is a natural self-cannibalization process that can act as a powerful mechanism to remove aged and damaged organelles as well as protein aggregates. It has been shown that promoting autophagy can attenuate or delay neurodegeneration by removing protein aggregates. In this paper, we will review the role of autophagy in Alzheimer's disease (AD), Parkinson's Disease (PD), and Huntington's Disease (HD) and discuss opportunities and challenges of targeting autophagy as a potential therapeutic avenue for treatment of these common neurodegenerative diseases.
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Affiliation(s)
- Amir Ajoolabady
- Department of Biochemistry and Clinical Laboratories, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- Neurosciences Research Center (NSRC), Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Nils Henninger
- Department of Neurology, University of Massachusetts, Worcester, MA 01655, USA
- Department of Psychiatry, University of Massachusetts, Worcester, MA 01655, USA
| | - Laurie J. Demillard
- School of Pharmacy, University of Wyoming College of Health Sciences, Laramie, WY 82071 USA
| | - Masoud Nikanfar
- Neurosciences Research Center (NSRC), Tabriz University of Medical Sciences, Tabriz, Iran
| | - Alireza Nourazarian
- Department of Biochemistry and Clinical Laboratories, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
- Neurosciences Research Center (NSRC), Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jun Ren
- School of Pharmacy, University of Wyoming College of Health Sciences, Laramie, WY 82071 USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98195 USA
- Shanghai Institute of Cardiovascular Diseases, Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
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23
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Meier SR, Sehlin D, Roshanbin S, Lim Falk V, Saito T, Saido TC, Neumann U, Rokka J, Eriksson J, Syvanen S. 11C-PIB and 124I-antibody PET provide differing estimates of brain amyloid-beta after therapeutic intervention. J Nucl Med 2021; 63:302-309. [PMID: 34088777 PMCID: PMC8805773 DOI: 10.2967/jnumed.121.262083] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 05/05/2021] [Indexed: 11/16/2022] Open
Abstract
PET imaging of amyloid-β (Aβ) has become an important component of Alzheimer disease diagnosis. 11C-Pittsburgh compound B (11C-PiB) and analogs bind to fibrillar Aβ. However, levels of nonfibrillar, soluble, aggregates of Aβ appear more dynamic during disease progression and more affected by Aβ-reducing treatments. The aim of this study was to compare an antibody-based PET ligand targeting nonfibrillar Aβ with 11C-PiB after β-secretase (BACE-1) inhibition in 2 Alzheimer disease mouse models at an advanced stage of Aβ pathology. Methods: Transgenic ArcSwe mice (16 mo old) were treated with the BACE-1 inhibitor NB-360 for 2 mo, whereas another group was kept as controls. A third group was analyzed at the age of 16 mo as a baseline. Mice were PET-scanned with 11C-PiB to measure Aβ plaque load followed by a scan with the bispecific radioligand 124I-RmAb158-scFv8D3 to investigate nonfibrillar aggregates of Aβ. The same study design was then applied to another mouse model, AppNL-G-F. In this case, NB-360 treatment was initiated at the age of 8 mo and animals were scanned with 11C-PiB-PET and 125I-RmAb158-scFv8D3 SPECT. Brain tissue was isolated after scanning, and Aβ levels were assessed. Results:124I-RmAb158-scFv8D3 concentrations measured with PET in hippocampus and thalamus of NB-360–treated ArcSwe mice were similar to those observed in baseline animals and significantly lower than concentrations observed in same-age untreated controls. Reduced 125I-RmAb158-scFv8D3 retention was also observed with SPECT in hippocampus, cortex, and cerebellum of NB-360–treated AppNL-G-F mice. Radioligand in vivo concentrations corresponded to postmortem brain tissue analysis of soluble Aβ aggregates. For both models, mice treated with NB-360 did not display a reduced 11C-PiB signal compared with untreated controls, and further, both NB-360 and control mice tended, although not reaching significance, to show higher 11C-PiB signal than the baseline groups. Conclusion: This study demonstrated the ability of an antibody-based radioligand to detect changes in brain Aβ levels after anti-Aβ therapy in ArcSwe and AppNL-G-F mice with pronounced Aβ pathology. In contrast, the decreased Aβ levels could not be quantified with 11C-PiB PET, suggesting that these ligands detect different pools of Aβ.
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Ji Z, Liu C, Zhao W, Soto C, Zhou X. Multi-scale modeling for systematically understanding the key roles of microglia in AD development. Comput Biol Med 2021; 133:104374. [PMID: 33864975 DOI: 10.1016/j.compbiomed.2021.104374] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 03/30/2021] [Accepted: 03/31/2021] [Indexed: 11/30/2022]
Abstract
Alzheimer's disease (AD) is the leading cause of age-related dementia, affecting over 5 million people in the United States. Unfortunately, current therapies are largely palliative and several potential drug candidates have failed in late-stage clinical trials. Studies suggest that microglia-mediated neuroinflammation might be responsible for the failures of various therapies. Microglia contribute to Aβ clearance in the early stage of neurodegeneration and may contribute to AD development at the late stage by releasing pro-inflammatory cytokines. However, the activation profile and phenotypic changes of microglia during the development of AD are poorly understood. To systematically understand the key role of microglia in AD progression and predict the optimal therapeutic strategy in silico, we developed a 3D multi-scale model of AD (MSMAD) by integrating multi-level experimental data, to manipulate the neurodegeneration in a simulated system. Based on our analysis, we revealed that how TREM2-related signal transduction leads to an imbalance in the activation of different microglia phenotypes, thereby promoting AD development. Our MSMAD model also provides an optimal therapeutic strategy for improving the outcome of AD treatment.
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Affiliation(s)
- Zhiwei Ji
- College of Artificial Intelligence, Nanjing Agricultural University, No.1 Weigang Road, Nanjing, Jiangsu, 210095, China; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX, 77030, USA.
| | - Changan Liu
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX, 77030, USA
| | - Weiling Zhao
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX, 77030, USA
| | - Claudio Soto
- Mitchell Center for Alzheimer's Disease & Brain Disorder, Department of Neurology, The University of Texas McGovern Medical School, 6431 Fannin Street, Houston, TX, 77030, USA
| | - Xiaobo Zhou
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin Street, Houston, TX, 77030, USA.
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Wu S, Liu X, Jiang R, Yan X, Ling Z. Roles and Mechanisms of Gut Microbiota in Patients With Alzheimer's Disease. Front Aging Neurosci 2021; 13:650047. [PMID: 34122039 PMCID: PMC8193064 DOI: 10.3389/fnagi.2021.650047] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 04/30/2021] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common age-related progressive neurodegenerative disease, characterized by a decline in cognitive function and neuronal loss, and is caused by several factors. Numerous clinical and experimental studies have suggested the involvement of gut microbiota dysbiosis in patients with AD. The altered gut microbiota can influence brain function and behavior through the microbiota–gut–brain axis via various pathways such as increased amyloid-β deposits and tau phosphorylation, neuroinflammation, metabolic dysfunctions, and chronic oxidative stress. With no current effective therapy to cure AD, gut microbiota modulation may be a promising therapeutic option to prevent or delay the onset of AD or counteract its progression. Our present review summarizes the alterations in the gut microbiota in patients with AD, the pathogenetic roles and mechanisms of gut microbiota in AD, and gut microbiota–targeted therapies for AD. Understanding the roles and mechanisms between gut microbiota and AD will help decipher the pathogenesis of AD from novel perspectives and shed light on novel therapeutic strategies for AD.
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Affiliation(s)
- Shaochang Wu
- Department of Geriatrics, Lishui Second People's Hospital, Lishui, China
| | - Xia Liu
- Department of Intensive Care Unit, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ruilai Jiang
- Department of Geriatrics, Lishui Second People's Hospital, Lishui, China
| | - Xiumei Yan
- Department of Geriatrics, Lishui Second People's Hospital, Lishui, China
| | - Zongxin Ling
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Institute of Microbe & Host Health, Linyi University, Linyi, China
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26
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Xie JK, Zhu XX, Wang KX, Wang SC, Xie Q. An automated radiosynthesis of (S)-[ 18F]28 for PET imaging of Alzheimer's disease. Appl Radiat Isot 2021; 174:109740. [PMID: 33940354 DOI: 10.1016/j.apradiso.2021.109740] [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: 11/30/2020] [Revised: 03/15/2021] [Accepted: 04/16/2021] [Indexed: 12/01/2022]
Abstract
18F-labeled 2-arylbenzoxazole derivative (S)-[18F]28 is potent and selective radiopharmaceutical Aβ tracers for Alzheimer's disease positron-emission tomography (PET). Our study aimed to enable facile preparation of (S)-[18F]28 in commercially available PET tracer production facilities to promote the widespread application and clinical translation. Here, we successfully demonstrated an automated radiosynthesis of (S)-[18F]28 with high radiochemical yield and radiochemical purity by the AllinOne radiosynthesis module. The method developed here can facilitate extensive use of (S)-[18F]28 in large-scale clinical trials.
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Affiliation(s)
- Ji-Kui Xie
- Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Xing-Xing Zhu
- Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Kai-Xuan Wang
- Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Shi-Cun Wang
- Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Qiang Xie
- Department of Nuclear Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China.
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27
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Biechele G, Wind K, Blume T, Sacher C, Beyer L, Eckenweber F, Franzmeier N, Ewers M, Zott B, Lindner S, Gildehaus FJ, von Ungern-Sternberg B, Tahirovic S, Willem M, Bartenstein P, Cumming P, Rominger A, Herms J, Brendel M. Microglial activation in the right amygdala-entorhinal-hippocampal complex is associated with preserved spatial learning in App NL-G-F mice. Neuroimage 2020; 230:117707. [PMID: 33385560 DOI: 10.1016/j.neuroimage.2020.117707] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 11/20/2020] [Accepted: 12/24/2020] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND In Alzheimer`s disease (AD), regional heterogeneity of β-amyloid burden and microglial activation of individual patients is a well-known phenomenon. Recently, we described a high incidence of inter-individual regional heterogeneity in terms of asymmetry of plaque burden and microglial activation in β-amyloid mouse models of AD as assessed by positron-emission-tomography (PET). We now investigate the regional associations between amyloid plaque burden, microglial activation, and impaired spatial learning performance in transgenic mice in vivo. METHODS In 30 AppNL-G-F mice (15 female, 15 male) we acquired cross-sectional 18 kDa translocator protein (TSPO-PET, 18F-GE-180) and β-amyloid-PET (18F-florbetaben) scans at ten months of age. Control data were obtained from age- and sex-matched C57BI/6 wild-type mice. We assessed spatial learning (i.e. Morris water maze) within two weeks of PET scanning and correlated the principal component of spatial learning performance scores with voxel-wise β-amyloid and TSPO tracer uptake maps in AppNL-G-F mice, controlled for age and sex. In order to assess the effects of hemispheric asymmetry, we also analyzed correlations of spatial learning performance with tracer uptake in bilateral regions of interest for frontal cortex, entorhinal/piriform cortex, amygdala, and hippocampus, using a regression model. We tested the correlation between regional asymmetry of PET biomarkers with individual spatial learning performance. RESULTS Voxel-wise analyses in AppNL-G-F mice revealed that higher TSPO-PET signal in the amygdala, entorhinal and piriform cortices, the hippocampus and the hypothalamus correlated with spatial learning performance. Region-based analysis showed significant correlations between TSPO expression in the right entorhinal/piriform cortex and the right amygdala and spatial learning performance, whereas there were no such correlations in the left hemisphere. Right lateralized TSPO expression in the amygdala predicted better performance in the Morris water maze (β = -0.470, p = 0.013), irrespective of the global microglial activation and amyloid level. Region-based results for amyloid-PET showed no significant associations with spatial learning. CONCLUSION Elevated microglial activation in the right amygdala-entorhinal-hippocampal complex of AppNL-G-F mice is associated with better spatial learning. Our findings support a protective role of microglia on cognitive function when they highly express TSPO in specific brain regions involved in spatial memory.
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Affiliation(s)
- Gloria Biechele
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.
| | - Karin Wind
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Tanja Blume
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany; DZNE - German Center for Neurodegenerative Diseases, Munich, Germany
| | - Christian Sacher
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Florian Eckenweber
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University Munich
| | - Michael Ewers
- DZNE - German Center for Neurodegenerative Diseases, Munich, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilian University Munich
| | - Benedikt Zott
- Institute of Neuroscience, Technical University of Munich, Munich, Germany; Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Franz-Josef Gildehaus
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | | | - Sabina Tahirovic
- DZNE - German Center for Neurodegenerative Diseases, Munich, Germany
| | - Michael Willem
- Chair of Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Paul Cumming
- Department of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland; School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia
| | - Axel Rominger
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany; Department of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland
| | - Jochen Herms
- DZNE - German Center for Neurodegenerative Diseases, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Center of Neuropathology and Prion Research, University of Munich, Munich Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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Biechele G, Franzmeier N, Blume T, Ewers M, Luque JM, Eckenweber F, Sacher C, Beyer L, Ruch-Rubinstein F, Lindner S, Gildehaus FJ, von Ungern-Sternberg B, Cumming P, Bartenstein P, Rominger A, Höglinger GU, Herms J, Brendel M. Glial activation is moderated by sex in response to amyloidosis but not to tau pathology in mouse models of neurodegenerative diseases. J Neuroinflammation 2020; 17:374. [PMID: 33317543 PMCID: PMC7737385 DOI: 10.1186/s12974-020-02046-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 11/25/2020] [Indexed: 12/14/2022] Open
Abstract
Background In vivo assessment of neuroinflammation by 18-kDa translocator protein positron-emission-tomography (TSPO-PET) ligands receives growing interest in preclinical and clinical research of neurodegenerative disorders. Higher TSPO-PET binding as a surrogate for microglial activation in females has been reported for cognitively normal humans, but such effects have not yet been evaluated in rodent models of neurodegeneration and their controls. Thus, we aimed to investigate the impact of sex on microglial activation in amyloid and tau mouse models and wild-type controls. Methods TSPO-PET (18F-GE-180) data of C57Bl/6 (wild-type), AppNL-G-F (β-amyloid model), and P301S (tau model) mice was assessed longitudinally between 2 and 12 months of age. The AppNL-G-F group also underwent longitudinal β-amyloid-PET imaging (Aβ-PET; 18F-florbetaben). PET results were confirmed and validated by immunohistochemical investigation of microglial (Iba-1, CD68), astrocytic (GFAP), and tau (AT8) markers. Findings in cerebral cortex were compared by sex using linear mixed models for PET data and analysis of variance for immunohistochemistry. Results Wild-type mice showed an increased TSPO-PET signal over time (female +23%, male +4%), with a significant sex × age interaction (T = − 4.171, p < 0.001). The Aβ model AppNL-G-F mice also showed a significant sex × age interaction (T = − 2.953, p = 0.0048), where cortical TSPO-PET values increased by 31% in female AppNL-G-F mice, versus only 6% in the male mice group from 2.5 to 10 months of age. Immunohistochemistry for the microglial markers Iba-1 and CD68 confirmed the TSPO-PET findings in male and female mice aged 10 months. Aβ-PET in the same AppNL-G-F mice indicated no significant sex × age interaction (T = 0.425, p = 0.673). The P301S tau model showed strong cortical increases of TSPO-PET from 2 to 8.5 months of age (female + 32%, male + 36%), without any significant sex × age interaction (T = − 0.671, p = 0.504), and no sex differences in Iba-1, CD68, or AT8 immunohistochemistry. Conclusion Female mice indicate sex-dependent microglia activation in aging and in response to amyloidosis but not in response to tau pathology. This calls for consideration of sex difference in TSPO-PET studies of microglial activation in mouse models of neurodegeneration and by extension in human studies.
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Affiliation(s)
- Gloria Biechele
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Tanja Blume
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany.,DZNE - German Center for Neurodegenerative Diseases, Munich, Germany
| | - Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital of Munich, LMU Munich, Munich, Germany.,DZNE - German Center for Neurodegenerative Diseases, Munich, Germany
| | - Jose Medina Luque
- DZNE - German Center for Neurodegenerative Diseases, Munich, Germany
| | - Florian Eckenweber
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Christian Sacher
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Francois Ruch-Rubinstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Franz-Josef Gildehaus
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Barbara von Ungern-Sternberg
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany
| | - Paul Cumming
- Department of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland.,School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany.,Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany.,Department of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland
| | - Günter U Höglinger
- Institute for Stroke and Dementia Research, University Hospital of Munich, LMU Munich, Munich, Germany.,Department of Neurology, Technical University Munich, Munich, Germany.,Center of Neuropathology and Prion Research, University of Munich, Munich, Germany
| | - Jochen Herms
- Institute for Stroke and Dementia Research, University Hospital of Munich, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninstraße 15, 81377, Munich, Germany. .,Department of Neurology, Hannover Medical School, Hannover, Germany.
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Ghaffari-Rafi A, Mehdizadeh R, Ghaffari-Rafi S, Leon-Rojas J. Inpatient diagnoses of idiopathic normal pressure hydrocephalus in the United States: Demographic and socioeconomic disparities. J Neurol Sci 2020; 418:117152. [PMID: 33032094 DOI: 10.1016/j.jns.2020.117152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Revised: 09/19/2020] [Accepted: 09/21/2020] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Epidemiology provides an avenue for identifying disease pathogenesis, hence determining national incidence, along with socioeconomic and demographic variables involved in iNPH, can provide direction in elucidating the etiology and addressing healthcare inequalities. METHODS To investigate incidence (per 100,000) of iNPH diagnoses applied to the inpatient population, with respect to sex, age, income, residence, and race/ethnicity, we queried the largest American administrative dataset (2008-2016), the National (Nationwide) Inpatient Sample (NIS), which surveys 20% of United States (US) discharges. RESULTS Annual national inpatient incidence (with 25th and 75th quartiles) for iNPH diagnoses was 2.86 (2.72, 2.93). Males had an inpatient incidence of 3.27 (3.11, 3.39), higher (p = 0.008) than female at 2.45 (2.41, 2.47). Amongst age groups inpatient incidence varied (p = 0.000004) and was largest amongst the 85+ group at 18.81 (16.40, 19.95). Individuals with middle/high income had an inpatient incidence of 2.96 (2.77, 3.06), higher (p = 0.008) than the 2.37 (2.24, 2.53) of low-income patients. Depending on whether patients lived in urban, suburban, or rural communities, inpatient incidence diverged (p = 0.01) as follows, respectively: 2.65; 2.66; 3.036. Amongst race/ethnicity (p = 0.000003), inpatient incidence for Whites, Blacks, Hispanics, Asian/Pacific Islanders, and Native Americans were as follows, respectively: 3.88 (3.69, 3.93), 1.065 (1.015, 1.14); 0.82 (0.76, 0.85); 0.43 (0.33, 0.52); 0.027 (0.026, 0.12). CONCLUSION In the US, inpatient incidence for iNPH diagnoses exhibited disparities between socioeconomic and demographic strata, emphasizing a healthcare inequality. Disproportionately, diagnoses were applied most to patients who were White, male, 65 and older, middle/high income, and living in rural communities.
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Affiliation(s)
- Arash Ghaffari-Rafi
- University of Hawai'i at Mānoa, John A. Burns School of Medicine, Honolulu, HI, USA.
| | - Rana Mehdizadeh
- University of Queensland, Faculty of Medicine, Brisbane, Australia
| | | | - Jose Leon-Rojas
- Universidad Internacional del Ecuador Escuela de Medicina, Quito, Ecuador
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Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. Neuroinformatics 2020; 18:1-24. [PMID: 30982183 DOI: 10.1007/s12021-019-09418-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Functional connectivity networks, derived from resting-state fMRI data, have been found as effective biomarkers for identifying mild cognitive impairment (MCI) from healthy elderly. However, the traditional functional connectivity network is essentially a low-order network with the assumption that the brain activity is static over the entire scanning period, ignoring temporal variations among the correlations derived from brain region pairs. To overcome this limitation, we proposed a new type of sparse functional connectivity network to precisely describe the relationship of temporal correlations among brain regions. Specifically, instead of using the simple pairwise Pearson's correlation coefficient as connectivity, we first estimate the temporal low-order functional connectivity for each region pair based on an ULS Group constrained-UOLS regression algorithm, where a combination of ultra-least squares (ULS) criterion with a Group constrained topology structure detection algorithm is applied to detect the topology of functional connectivity networks, aided by an Ultra-Orthogonal Least Squares (UOLS) algorithm to estimate connectivity strength. Compared to the classical least squares criterion which only measures the discrepancy between the observed signals and the model prediction function, the ULS criterion takes into consideration the discrepancy between the weak derivatives of the observed signals and the model prediction function and thus avoids the overfitting problem. By using a similar approach, we then estimate the high-order functional connectivity from the low-order connectivity to characterize signal flows among the brain regions. We finally fuse the low-order and the high-order networks using two decision trees for MCI classification. Experimental results demonstrate the effectiveness of the proposed method on MCI classification.
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Abstract
INTRODUCTION Epidemiological data on dementia is not available in many European countries and regions due to the high cost and complexity of conducting large scale dementia screening studies. The available epidemiological studies identify potentially substantial variation in the prevalence of dementia over time and across Europe. METHODS In this paper we generate simulations of the number of dementia cases in Ireland from 1991 to 2036 using a three-state Markov illness-death model. Parameters values are selected for each simulation from a range using a random parameter search pattern. We employ a novel calibration method which exploits the strong relationship between dementia, ageing and mortality. Simulation weights are generated based on differences between observed and modelled cohorts of older people and the reported number of deaths from dementia. Irish Census data from 1991 to 2016 and the number of recorded deaths due to dementia in 2018 are used as calibration points. A weighted average projection of the number of dementia cases is generated. RESULTS We estimate a weighted average number of cases of dementia in 2016 of 54 877 increasing to 98 946 in 2036; this estimate is substantially lower than the estimates generated using extrapolation methods. We show the wide range of possible outcomes given the range in the available parameter estimates and show that irrespective of whether the incidence rate of dementia is declining the number of cases of dementia is rapidly increasing due to population ageing. CONCLUSION Previous studies have used parameter estimates from meta-analyses of the literature or from individual studies. In this paper we supplement these with a calibration approach using observed cause of death and population age structure data. These additional sources of data can be used to generate estimates of dementia prevalence in any country or region which has census data and data on deaths due to dementia.
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Affiliation(s)
- Tom Pierse
- Centre for Economic and Social Research on Dementia, National University of Ireland, Galway, Ireland
| | - Fiona Keogh
- Centre for Economic and Social Research on Dementia, National University of Ireland, Galway, Ireland
| | - Stephen O'Neill
- Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, United Kingdom
- J.E. Cairnes School of Business and Economics, National University of Ireland, Galway, Ireland
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Sacher C, Blume T, Beyer L, Biechele G, Sauerbeck J, Eckenweber F, Deussing M, Focke C, Parhizkar S, Lindner S, Gildehaus FJ, von Ungern-Sternberg B, Baumann K, Tahirovic S, Kleinberger G, Willem M, Haass C, Bartenstein P, Cumming P, Rominger A, Herms J, Brendel M. Asymmetry of Fibrillar Plaque Burden in Amyloid Mouse Models. J Nucl Med 2020; 61:1825-1831. [DOI: 10.2967/jnumed.120.242750] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 04/03/2020] [Indexed: 11/16/2022] Open
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Weng CC, Hsiao IT, Yang QF, Yao CH, Tai CY, Wu MF, Yen TC, Jang MK, Lin KJ. Characterization of 18F-PM-PBB3 ( 18F-APN-1607) Uptake in the rTg4510 Mouse Model of Tauopathy. Molecules 2020; 25:molecules25071750. [PMID: 32290239 PMCID: PMC7181044 DOI: 10.3390/molecules25071750] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 04/05/2020] [Accepted: 04/07/2020] [Indexed: 12/03/2022] Open
Abstract
Misfolding, aggregation, and cerebral accumulation of tau deposits are hallmark features of Alzheimer’s disease. Positron emission tomography study of tau can facilitate the development of anti-tau treatment. Here, we investigated a novel tau tracer 18F-PM-PBB3 (18F-APN-1607) in a mouse model of tauopathy. Dynamic PET scans were collected in groups of rTg4510 transgenic mice at 2–11 months of age. Associations between distribution volume ratios (DVR) and standardized uptake value ratios (SUVR) with cerebellum reference were used to determine the optimal scanning time and uptake pattern for each age. Immunohistochemistry staining of neurofibrillary tangles and autoradiography study was performed for ex vivo validation. An SUVR 40–70 min was most consistently correlated with DVR and was used in further analyses. Significant increased 18F-PM-PBB3 uptake in the brain cortex was found in six-month-old mice (+28.9%, p < 0.05), and increased further in the nine-month-old group (+38.8%, p < 0.01). The trend of increased SUVR value remained evident in the hippocampus and striatum regions except for cortex where uptake becomes slightly reduced in 11-month-old animals (+37.3%, p < 0.05). Radioactivity distributions from autoradiography correlate well to the presence of human tau (HT7 antibody) and hyperphosphorylated tau (antibody AT8) from the immunohistochemistry study of the adjacent brain sections. These findings supported that the 40–70 min 18F-PM-PBB3 PET scan with SUVR measurement can detect significantly increased tau deposits in a living rTg4510 transgenic mouse models as early as six-months-old. The result exhibited promising dynamic imaging capability of this novel tau tracer, and the above image characteristics should be considered in the design of longitudinal preclinical tau image studies.
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Affiliation(s)
- Chi-Chang Weng
- HARC and Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan 333, Taiwan; (C.C.-W.); (I.-T.H.); (Q.-F.Y.)
- Department of Nuclear Medicine and Center for Advanced Molecular Imaging and Translation, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Ing-Tsung Hsiao
- HARC and Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan 333, Taiwan; (C.C.-W.); (I.-T.H.); (Q.-F.Y.)
- Department of Nuclear Medicine and Center for Advanced Molecular Imaging and Translation, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Qing-Fang Yang
- HARC and Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan 333, Taiwan; (C.C.-W.); (I.-T.H.); (Q.-F.Y.)
| | - Cheng-Hsiang Yao
- Department of Nuclear Medicine and Center for Advanced Molecular Imaging and Translation, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| | - Chin-Yin Tai
- APRINOIA Therapeutics Inc., Taipei 11503, Taiwan; (C.-Y.T.); (M.-F.W.); (T.-C.Y.); (M.-K.J.)
| | - Meng-Fang Wu
- APRINOIA Therapeutics Inc., Taipei 11503, Taiwan; (C.-Y.T.); (M.-F.W.); (T.-C.Y.); (M.-K.J.)
| | - Tzu-Chen Yen
- APRINOIA Therapeutics Inc., Taipei 11503, Taiwan; (C.-Y.T.); (M.-F.W.); (T.-C.Y.); (M.-K.J.)
| | - Ming-Kuei Jang
- APRINOIA Therapeutics Inc., Taipei 11503, Taiwan; (C.-Y.T.); (M.-F.W.); (T.-C.Y.); (M.-K.J.)
| | - Kun-Ju Lin
- Department of Nuclear Medicine and Center for Advanced Molecular Imaging and Translation, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
- Correspondence:
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Effects of lycopene on vascular remodeling through the LXR-PI3K-AKT signaling pathway in APP/PS1 mice. Biochem Biophys Res Commun 2020; 526:699-705. [PMID: 32253029 DOI: 10.1016/j.bbrc.2020.02.063] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 02/10/2020] [Indexed: 01/19/2023]
Abstract
Alzheimer's disease (AD) is the commonest neurodegenerative disease and, in recent years, studies have increasingly shown that vascular lesions are involved in the pathology of AD onset and progression. Many vascular changes precede the pathological changes and clinical symptoms of AD, and vascular lesions and AD have many common risk factors. Understanding the relationship between vascular factors and the pathological process of AD may help us to identify novel prevention and treatment strategies as well as delay disease progress. Previous studies have shown that lycopene has neuroprotective, antioxidant, and anticancer effects; however, the specific molecular mechanism mediating these effects remains unknown. In the present study, we found: 1) lycopene improved learning and memory in an AD mouse model; 2) lycopene inhibited amyloid plaque aggregation and neuroinflammation; and 3) lycopene induced LXR expression and activated the LXR-PI3K-AKT signaling pathway. Our findings suggest that promotion of neurogenesis and improvement of the functions of the neurovascular unit could be a novel direction for the development of AD therapies.
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Stenzel J, Rühlmann C, Lindner T, Polei S, Teipel S, Kurth J, Rominger A, Krause BJ, Vollmar B, Kuhla A. [ 18F]-florbetaben PET/CT Imaging in the Alzheimer's Disease Mouse Model APPswe/PS1dE9. Curr Alzheimer Res 2020; 16:49-55. [PMID: 30345916 DOI: 10.2174/1567205015666181022095904] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 09/07/2018] [Accepted: 10/15/2018] [Indexed: 01/01/2023]
Abstract
BACKGROUND Positron-emission-tomography (PET) using 18F labeled florbetaben allows noninvasive in vivo-assessment of amyloid-beta (Aβ), a pathological hallmark of Alzheimer's disease (AD). In preclinical research, [18F]-florbetaben-PET has already been used to test the amyloid-lowering potential of new drugs, both in humans and in transgenic models of cerebral amyloidosis. The aim of this study was to characterize the spatial pattern of cerebral uptake of [18F]-florbetaben in the APPswe/ PS1dE9 mouse model of AD in comparison to histologically determined number and size of cerebral Aβ plaques. METHODS Both, APPswe/PS1dE9 and wild type mice at an age of 12 months were investigated by smallanimal PET/CT after intravenous injection of [18F]-florbetaben. High-resolution magnetic resonance imaging data were used for quantification of the PET data by volume of interest analysis. The standardized uptake values (SUVs) of [18F]-florbetaben in vivo as well as post mortem cerebral Aβ plaque load in cortex, hippocampus and cerebellum were analyzed. RESULTS Visual inspection and SUVs revealed an increased cerebral uptake of [18F]-florbetaben in APPswe/ PS1dE9 mice compared with wild type mice especially in the cortex, the hippocampus and the cerebellum. However, SUV ratios (SUVRs) relative to cerebellum revealed only significant differences in the hippocampus between the APPswe/PS1dE9 and wild type mice but not in cortex; this differential effect may reflect the lower plaque area in the cortex than in the hippocampus as found in the histological analysis. CONCLUSION The findings suggest that histopathological characteristics of Aβ plaque size and spatial distribution can be depicted in vivo using [18F]-florbetaben in the APPswe/PS1dE9 mouse model.
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Affiliation(s)
- J Stenzel
- Core Facility Multimodal Small Animal Imaging, Rostock University Medical Center, Rostock, Germany
| | - C Rühlmann
- Institute for Experimental Surgery, Rostock University Medical Center, Rostock, Germany
| | - T Lindner
- Core Facility Multimodal Small Animal Imaging, Rostock University Medical Center, Rostock, Germany
| | - S Polei
- Core Facility Multimodal Small Animal Imaging, Rostock University Medical Center, Rostock, Germany
| | - S Teipel
- German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany, Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany
| | - J Kurth
- Department of Nuclear Medicine, Rostock University Medical Center, Rostock, Germany
| | - A Rominger
- Department of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland
| | - B J Krause
- Core Facility Multimodal Small Animal Imaging, Rostock University Medical Center, Rostock, Germany.,Department of Nuclear Medicine, Rostock University Medical Center, Rostock, Germany
| | - B Vollmar
- Core Facility Multimodal Small Animal Imaging, Rostock University Medical Center, Rostock, Germany.,Institute for Experimental Surgery, Rostock University Medical Center, Rostock, Germany
| | - A Kuhla
- Institute for Experimental Surgery, Rostock University Medical Center, Rostock, Germany
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Mostel Z, Perl A, Marck M, Mehdi SF, Lowell B, Bathija S, Santosh R, Pavlov VA, Chavan SS, Roth J. Post-sepsis syndrome - an evolving entity that afflicts survivors of sepsis. Mol Med 2019; 26:6. [PMID: 31892321 PMCID: PMC6938630 DOI: 10.1186/s10020-019-0132-z] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 12/20/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The sequelae of sepsis were once thought to be independent of sepsis itself and assumed to be either comorbid to sick patients or complications of critical illness. Recent studies have reported consistent patterns of functional disabilities in sepsis survivors that can last from months to years after symptoms of active sepsis had resolved. BODY: Post-sepsis syndrome is an emerging pathological entity that has garnered significant interest amongst clinicians and researchers over the last two decades. It is marked by a significantly increased risk of death and a poor health-related quality of life associated with a constellation of long-term effects that persist following the patient's bout with sepsis. These include neurocognitive impairment, functional disability, psychological deficits, and worsening medical conditions. CONCLUSION This "post-sepsis syndrome" has been the subject of active preclinical and clinical research providing new mechanistic insights and approaches linked to survivor well-being. Here we review important aspects of these research efforts and goals of care for patients who survive sepsis.
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Affiliation(s)
- Zachary Mostel
- Laboratory of Diabetes and Diabetes-Related Research, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA.
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Abraham Perl
- Laboratory of Diabetes and Diabetes-Related Research, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Matthew Marck
- Laboratory of Diabetes and Diabetes-Related Research, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Syed F Mehdi
- Laboratory of Diabetes and Diabetes-Related Research, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Barbara Lowell
- Laboratory of Diabetes and Diabetes-Related Research, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Sagar Bathija
- Laboratory of Diabetes and Diabetes-Related Research, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Ramchandani Santosh
- Laboratory of Diabetes and Diabetes-Related Research, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Valentin A Pavlov
- Center for Bioelectronic Medicine and Biomedical Science, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Sangeeta S Chavan
- Center for Bioelectronic Medicine and Biomedical Science, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Jesse Roth
- Laboratory of Diabetes and Diabetes-Related Research, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Center for Bioelectronic Medicine and Biomedical Science, Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
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Abstract
OBJECTIVES In this paper we provide revised estimates of the prevalence of dementia in Ireland, the number of new cases per year and the severity mix. These estimates are a necessary input for any assessment of the potential demand for services and supports for people with dementia across all care settings in Ireland. METHODS The prevalence, incidence and severity stage of dementia are calculated by applying rates from prominent international studies to population data from the 2016 census. RESULTS We show that the total number of people with dementia in Ireland ranges between 39 272 and 55 266, depending on the international rates used to measure prevalence. The incidence of dementia in Ireland has increased as the population has aged, to at least 7752 new cases per year. We estimate that there are at least 11 175 people living at home in the community in Ireland with dementia who have a serious functional impairment, based on an Activities of Daily Living measurement, of which an estimated 1876 are chair or bedbound. CONCLUSIONS Without a national prevalence study it is not possible to be precise about the estimates of the number of people with dementia in Ireland. However, having credible upper and lower bound estimates for the number of people with dementia, the potential number of new cases per year and severity rates is useful for planners and those charged with the responsibility of making resource allocation decisions in dementia.
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Lue LF, Pai MC, Chen TF, Hu CJ, Huang LK, Lin WC, Wu CC, Jeng JS, Blennow K, Sabbagh MN, Yan SH, Wang PN, Yang SY, Hatsuta H, Morimoto S, Takeda A, Itoh Y, Liu J, Xie H, Chiu MJ. Age-Dependent Relationship Between Plasma Aβ40 and Aβ42 and Total Tau Levels in Cognitively Normal Subjects. Front Aging Neurosci 2019; 11:222. [PMID: 31551751 PMCID: PMC6734161 DOI: 10.3389/fnagi.2019.00222] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 08/06/2019] [Indexed: 12/21/2022] Open
Abstract
Both amyloid plaques and neurofibrillary tangles are pathological hallmarks in the brains of patients with Alzheimer’s disease (AD). However, the constituents of these hallmarks, amyloid beta (Aβ) 40, Aβ42, and total Tau (t-Tau), have been detected in the blood of cognitively normal subjects by using an immunomagnetic reduction (IMR) assay. Whether these levels are age-dependent is not known, and their interrelation remains undefined. We determined the levels of these biomarkers in cognitively normal subjects of different age groups. A total of 391 cognitively normal subjects aged 23–91 were enrolled from hospitals in Asia, Europe, and North America. Healthy cognition was evaluated by NIA-AA guidelines to exclude subjects with mild cognitive impairment (MCI) and AD and by cognitive assessment using the Mini Mental State Examination and Clinical Dementia Rating (CDR). We examined the effect of age on plasma levels of Aβ40, Aβ42, and t-Tau and the relationship between these biomarkers during aging. Additionally, we explored age-related reference intervals for each biomarker. Plasma t-Tau and Aβ42 levels had modest but significant correlations with chronological age (r = 0.127, p = 0.0120 for t-Tau; r = −0.126, p = 0.0128 for Aβ42), ranging from ages 23 to 91. Significant positive correlations were detected between Aβ42 and t-Tau in the groups aged 50 years and older, with Rho values ranging from 0.249 to 0.474. Significant negative correlations were detected between Aβ40 and t-Tau from age 40 to 91 (r ranged from −0.293 to −0.582) and between Aβ40 and Aβ42 in the age groups of 30–39 (r = −0.562, p = 0.0235), 50–59 (r = −0.261, p = 0.0142), 60–69 (r = −0.303, p = 0.0004), and 80–91 (r = 0.459, p = 0.0083). We also provided age-related reference intervals for each biomarker. In this multicenter study, age had weak but significant effects on the levels of Aβ42 and t-Tau in plasma. However, the age group defined by decade revealed the emergence of a relationship between Aβ40, Aβ42, and t-Tau in the 6th and 7th decades. Validation of our findings in a large-scale and longitudinal study is warranted.
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Affiliation(s)
- Lih-Fen Lue
- Civin Neuropathology Laboratory, Banner Sun Health Research Institute, Sun City, AZ, United States
| | - Ming-Chyi Pai
- Division of Behavioral Neurology, Department of Neurology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Ta-Fu Chen
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chaur-Jong Hu
- Department of Neurology, Taipei Medical University, Taipei, Taiwan.,Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Li-Kai Huang
- Department of Neurology, Taipei Medical University, Taipei, Taiwan.,Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Wei-Che Lin
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Chau-Chung Wu
- Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Jian-Shing Jeng
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
| | - Marwan N Sabbagh
- Lou Ruvo Center for Brain Health, Cleveland Clinic Nevada, Las Vegas, NV, United States
| | - Sui-Hing Yan
- Department of Neurology, Renai Branch, Taipei City Hospital, Taipei, Taiwan
| | - Pei-Ning Wang
- Department of Neurology, National Yang-Ming University, Taipei, Taiwan.,Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shieh-Yueh Yang
- MagQu Company Limited, New Taipei City, Taiwan.,MagQu LLC, Surprise, AZ, United States
| | - Hiroyuki Hatsuta
- Hatsuta Neurology Clinic, Osaka, Japan.,Department of Neurology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Satoru Morimoto
- Hatsuta Neurology Clinic, Osaka, Japan.,Department of Physiology, School of Medicine, Keio University, Tokyo, Japan
| | - Akitoshi Takeda
- Department of Neurology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yoshiaki Itoh
- Department of Neurology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Jun Liu
- Departemnt of Neurology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Haiqun Xie
- Department of Neurology, Foshan Hospital of Sun Yat-Sen University, Foshan, China
| | - Ming-Jang Chiu
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
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Beyer L, Schnabel J, Kazmierczak P, Ewers M, Schönecker S, Prix C, Meyer-Wilmes J, Unterrainer M, Catak C, Pogarell O, Perneczky R, Albert NL, Bartenstein P, Danek A, Buerger K, Levin J, Rominger A, Brendel M. Neuronal injury biomarkers for assessment of the individual cognitive reserve in clinically suspected Alzheimer's disease. NEUROIMAGE-CLINICAL 2019; 24:101949. [PMID: 31398553 PMCID: PMC6699250 DOI: 10.1016/j.nicl.2019.101949] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 06/18/2019] [Accepted: 07/19/2019] [Indexed: 10/26/2022]
Abstract
OBJECTIVES Many predictive or influencing factors have emerged in investigations of the cognitive reserve model of patients with Alzheimer's disease (AD). For example, neuronal injury, which correlates with cognitive decline in AD, can be assessed by [18F]-fluorodeoxyglucose positron-emission-tomography (FDG-PET), structural magnetic resonance imaging (MRI) and total tau in cerebrospinal fluid (CSFt-tau), all according to the A/T/N-classification. The aim of this study was to calculate residual cognitive performance based on neuronal injury biomarkers as a surrogate of cognitive reserve, and to test the predictive value of this index for the individual clinical course. METHODS 110 initially mild cognitive impaired and demented subjects (age 71 ± 8 years) with a final diagnosis of AD dementia were assessed at baseline by clinical mini-mental-state-examination (MMSE), FDG-PET, MRI and CSFt-tau. All neuronal injury markers were tested for an association with clinical MMSE and the resulting residuals were correlated with years of education. We used multiple regression analysis to calculate the expected MMSE score based on neuronal injury biomarkers and covariates. The residuals of the partial correlation for each biomarker and the predicted residualized memory function were correlated with individual cognitive changes measured during clinical follow-up (27 ± 13 months). RESULTS FDG-PET correlated highly with clinical MMSE (R = -0.49, p < .01), whereas hippocampal atrophy to MRI (R = -0.15, p = .14) and CSFt-tau (R = -0.12, p = .22) showed only weak correlations. Residuals of all neuronal injury biomarker regressions correlated significantly with education level, indicating them to be surrogates of cognitive reserve. A positive residual was associated with faster cognitive deterioration at follow-up for the residuals of stand-alone FDG-PET (R = -0.36, p = .01) and the combined residualized memory function model (R = -0.35, p = .02). CONCLUSIONS These findings suggest that subjects with higher cognitive reserve had accumulated more pathology, which subsequently caused a faster cognitive decline over time. Together with previous findings suggesting that higher reserve is associated with slower cognitive decline, we propose a biphasic reserve effect, with an initially protective phase followed by more rapid decompensation once the protection is overwhelmed.
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Affiliation(s)
- Leonie Beyer
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Jonas Schnabel
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Philipp Kazmierczak
- Institute for Radiology, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Michael Ewers
- DZNE - German Center for Neurodegenerative Diseases, Feodor-Lynen-Straße 17, 81377 Munich, Germany
| | - Sonja Schönecker
- Dept. of Neurology, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Catharina Prix
- Dept. of Neurology, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Johanna Meyer-Wilmes
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Marcus Unterrainer
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Cihan Catak
- Institute for Stroke and Dementia Research, University Hospital of Munich, LMU Munich, Feodor-Lynen-Straße 17, 81377 Munich, Germany
| | - Oliver Pogarell
- Dept. of Psychiatry, University Hospital of Munich, LMU Munich, Nußbaumstraße 7, 80336 Munich, Germany
| | - Robert Perneczky
- DZNE - German Center for Neurodegenerative Diseases, Feodor-Lynen-Straße 17, 81377 Munich, Germany; Dept. of Psychiatry, University Hospital of Munich, LMU Munich, Nußbaumstraße 7, 80336 Munich, Germany; Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College, Charing Cross Hospital, St Dunstan's Road, London W6 8RP, United Kingdom; West London Mental Health NHS Trust, 1 Armstrong Way, Southhall UB2 4SD, United Kingdom
| | - Nathalie L Albert
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Peter Bartenstein
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Straße 17, 81377 Munich, Germany
| | - Adrian Danek
- Dept. of Neurology, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Katharina Buerger
- DZNE - German Center for Neurodegenerative Diseases, Feodor-Lynen-Straße 17, 81377 Munich, Germany; Institute for Stroke and Dementia Research, University Hospital of Munich, LMU Munich, Feodor-Lynen-Straße 17, 81377 Munich, Germany
| | - Johannes Levin
- Dept. of Neurology, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany
| | - Axel Rominger
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany; Dept. of Nuclear Medicine, University of Bern, Inselspital, Freiburgstraße 18, 3010 Bern, Switzerland; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Straße 17, 81377 Munich, Germany
| | - Matthias Brendel
- Dept. of Nuclear Medicine, University Hospital of Munich, LMU Munich, Marchioninistraße 15, 81377 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Straße 17, 81377 Munich, Germany.
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40
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Sacher C, Blume T, Beyer L, Peters F, Eckenweber F, Sgobio C, Deussing M, Albert NL, Unterrainer M, Lindner S, Gildehaus FJ, von Ungern-Sternberg B, Brzak I, Neumann U, Saito T, Saido TC, Bartenstein P, Rominger A, Herms J, Brendel M. Longitudinal PET Monitoring of Amyloidosis and Microglial Activation in a Second-Generation Amyloid-β Mouse Model. J Nucl Med 2019; 60:1787-1793. [PMID: 31302633 DOI: 10.2967/jnumed.119.227322] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Accepted: 05/15/2019] [Indexed: 11/16/2022] Open
Abstract
Nonphysiologic overexpression of amyloid-β (Aβ) precursor protein in common transgenic Aβ mouse models of Alzheimer disease likely hampers their translational potential. The novel App NL-G-F mouse incorporates a mutated knock-in, potentially presenting an improved model of Alzheimer disease for Aβ-targeting treatment trials. We aimed to establish serial small-animal PET of amyloidosis and neuroinflammation in App NL-G-F mice as a tool for therapy monitoring. Methods: App NL-G-F mice (20 homozygous and 21 heterogeneous) and 12 age-matched wild-type mice were investigated longitudinally from 2.5 to 10 mo of age with 18F-florbetaben Aβ PET and 18F-GE-180 18-kDa translocator protein (TSPO) PET. Voxelwise analysis of SUV ratio images was performed using statistical parametric mapping. All mice underwent a Morris water maze test of spatial learning after their final scan. Quantification of fibrillar Aβ and activated microglia by immunohistochemistry and biochemistry served for validation of the PET results. Results: The periaqueductal gray emerged as a suitable pseudo reference tissue for both tracers. Homozygous App NL-G-F mice had a rising SUV ratio in cortex and hippocampus for Aβ (+9.1%, +3.8%) and TSPO (+19.8%, +14.2%) PET from 2.5 to 10 mo of age (all P < 0.05), whereas heterozygous App NL-G-F mice did not show significant changes with age. Significant voxelwise clusters of Aβ deposition and microglial activation in homozygous mice appeared at 5 mo of age. Immunohistochemical and biochemical findings correlated strongly with the PET data. Water maze escape latency was significantly elevated in homozygous App NL-G-F mice compared with wild-type at 10 mo of age and was associated with high TSPO binding. Conclusion: Longitudinal PET in App NL-G-F knock-in mice enables monitoring of amyloidogenesis and neuroinflammation in homozygous mice but is insensitive to minor changes in heterozygous animals. The combination of PET with behavioral tasks in App NL-G-F treatment trials is poised to provide important insights in preclinical drug development.
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Affiliation(s)
- Christian Sacher
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany
| | - Tanja Blume
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany.,DZNE-German Center for Neurodegenerative Diseases, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany
| | - Finn Peters
- DZNE-German Center for Neurodegenerative Diseases, Munich, Germany
| | - Florian Eckenweber
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany
| | - Carmelo Sgobio
- DZNE-German Center for Neurodegenerative Diseases, Munich, Germany
| | - Maximilian Deussing
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany
| | - Simon Lindner
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany
| | - Franz-Josef Gildehaus
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany
| | | | - Irena Brzak
- Neuroscience, Novartis Institutes for BioMedical Research (NIBR), Basel, Switzerland
| | - Ulf Neumann
- Neuroscience, Novartis Institutes for BioMedical Research (NIBR), Basel, Switzerland
| | - Takashi Saito
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Saitama, Japan
| | - Takaomi C Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Saitama, Japan
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany
| | - Axel Rominger
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Department of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland; and
| | - Jochen Herms
- DZNE-German Center for Neurodegenerative Diseases, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Center of Neuropathology and Prion Research, University of Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich Germany .,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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Zenin A, Tsepilov Y, Sharapov S, Getmantsev E, Menshikov LI, Fedichev PO, Aulchenko Y. Identification of 12 genetic loci associated with human healthspan. Commun Biol 2019; 2:41. [PMID: 30729179 PMCID: PMC6353874 DOI: 10.1038/s42003-019-0290-0] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Accepted: 01/08/2019] [Indexed: 02/06/2023] Open
Abstract
Aging populations face diminishing quality of life due to increased disease and morbidity. These challenges call for longevity research to focus on understanding the pathways controlling healthspan. We use the data from the UK Biobank (UKB) cohort and observe that the risks of major chronic diseases increased exponentially and double every eight years, i.e., at a rate compatible with the Gompertz mortality law. Assuming that aging drives the acceleration in morbidity rates, we build a risk model to predict the age at the end of healthspan depending on age, gender, and genetic background. Using the sub-population of 300,447 British individuals as a discovery cohort, we identify 12 loci associated with healthspan at the whole-genome significance level. We find strong genetic correlations between healthspan and all-cause mortality, life-history, and lifestyle traits. We thereby conclude that the healthspan offers a promising new way to interrogate the genetics of human longevity.
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Affiliation(s)
- Aleksandr Zenin
- Gero LLC, Novokuznetskaya street 24/2, Moscow, Russia 119017
| | - Yakov Tsepilov
- Novosibirsk State University, Pirogova 2, Novosibirsk, Russia 630090
- Institute of Cytology and Genetics SB RAS, Lavrentyeva ave. 10, Novosibirsk, Russia 630090
| | - Sodbo Sharapov
- Novosibirsk State University, Pirogova 2, Novosibirsk, Russia 630090
- Institute of Cytology and Genetics SB RAS, Lavrentyeva ave. 10, Novosibirsk, Russia 630090
| | | | - L. I. Menshikov
- Gero LLC, Novokuznetskaya street 24/2, Moscow, Russia 119017
- National Research Center “Kurchatov Institute”, 1, Akademika Kurchatova pl., Moscow, Russia 123182
| | - Peter O. Fedichev
- Gero LLC, Novokuznetskaya street 24/2, Moscow, Russia 119017
- Moscow Institute of Physics and Technology, Institutskii per. 9, Dolgoprudny, Moscow Russia 141700
| | - Yurii Aulchenko
- Novosibirsk State University, Pirogova 2, Novosibirsk, Russia 630090
- Institute of Cytology and Genetics SB RAS, Lavrentyeva ave. 10, Novosibirsk, Russia 630090
- PolyOmica, Het Vlaggeschip 61, 5237PA ‘s-Hertogenbosch, The Netherlands
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, Scotland EH8 9AG UK
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42
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The role of membrane trafficking in the processing of amyloid precursor protein and production of amyloid peptides in Alzheimer's disease. BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES 2019; 1861:697-712. [PMID: 30639513 DOI: 10.1016/j.bbamem.2018.11.013] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 11/25/2018] [Accepted: 11/29/2018] [Indexed: 01/18/2023]
Abstract
Alzheimer's disease (AD) is characterized by progressive accumulation of misfolded proteins, which form senile plaques and neurofibrillary tangles, and the release of inflammatory mediators by innate immune responses. β-Amyloid peptide (Aβ) is derived from sequential processing of the amyloid precursor protein (APP) by membrane-bound proteases, namely the β-secretase, BACE1, and γ-secretase. Membrane trafficking plays a key role in the regulation of APP processing as both APP and the processing secretases traffic along distinct pathways. Genome wide sequencing studies have identified several AD susceptibility genes which regulate membrane trafficking events. To understand the pathogenesis of AD it is critical that the cell biology of APP and Aβ production in neurons is well defined. This review discusses recent advances in unravelling the membrane trafficking events associated with the production of Aβ, and how AD susceptible alleles may perturb the sorting and transport of APP and BACE1. Mechanisms whereby inflammation may influence APP processing are also considered.
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43
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Zhang T, Han Y, Wang J, Hou D, Deng H, Deng YL, Song Z. Comparative Epidemiological Investigation of Alzheimer's Disease and Colorectal Cancer: The Possible Role of Gastrointestinal Conditions in the Pathogenesis of AD. Front Aging Neurosci 2018; 10:176. [PMID: 30323761 PMCID: PMC6172982 DOI: 10.3389/fnagi.2018.00176] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 05/22/2018] [Indexed: 12/11/2022] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder that affects approximately 35 million people worldwide, and diet has been reported to influence the prevalence/incidence of AD. Colorectal cancer is among the most common cancers in Western populations, and the correlation between constipation and the occurrence of colorectal cancer has been identified in a number of studies, which show that a Westernized diet is a mutual risk factor. Constipation is a growing health problem, particularly in middle-aged and older adults. As the most common gastrointestinal disorder in adults, constipation affects 2-20% of the world population, and it is associated with several diseases, such as diabetes, Parkinson's disease, and others. Comparing the epidemiological data on colorectal cancer and AD, we find that colorectal cancer and AD have similar epidemiologic feature, which is both disease correlate with high prevalence of constipation. Therefore, we hypothesized that constipation may influence Alzheimer's disease in a similar way that it contributes to colorectal cancer. This review aimed to systemically elucidate the evidence that constipation contributes to Alzheimer's disease progression.
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Affiliation(s)
| | | | | | | | | | | | - Zhi Song
- Department of Neurology, Third Xiangya Hospital of Central South University, Changsha, China
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44
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Focke C, Blume T, Zott B, Shi Y, Deussing M, Peters F, Schmidt C, Kleinberger G, Lindner S, Gildehaus FJ, Beyer L, von Ungern-Sternberg B, Bartenstein P, Ozmen L, Baumann K, Dorostkar MM, Haass C, Adelsberger H, Herms J, Rominger A, Brendel M. Early and Longitudinal Microglial Activation but Not Amyloid Accumulation Predicts Cognitive Outcome in PS2APP Mice. J Nucl Med 2018; 60:548-554. [DOI: 10.2967/jnumed.118.217703] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 09/10/2018] [Indexed: 02/06/2023] Open
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45
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Brendel M, Jaworska A, Overhoff F, Blume T, Probst F, Gildehaus FJ, Bartenstein P, Haass C, Bohrmann B, Herms J, Willem M, Rominger A. Efficacy of chronic BACE1 inhibition in PS2APP mice depends on the regional Aβ deposition rate and plaque burden at treatment initiation. Theranostics 2018; 8:4957-4968. [PMID: 30429879 PMCID: PMC6217065 DOI: 10.7150/thno.27868] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Accepted: 08/14/2018] [Indexed: 12/31/2022] Open
Abstract
Beta secretase (BACE) inhibitors are promising therapeutic compounds currently in clinical phase II/III trials. Preclinical [18F]-florbetaben (FBB) amyloid PET imaging facilitates longitudinal monitoring of amyloidosis in Alzheimer's disease (AD) mouse models. Therefore, we applied this theranostic concept to investigate, by serial FBB PET, the efficacy of a novel BACE1 inhibitor in the PS2APP mouse, which is characterized by early and massive amyloid deposition. Methods: PS2APP and C57BL/6 (WT) mice were assigned to treatment (PS2APP: N=13; WT: N=11) and vehicle control (PS2APP: N=13; WT: N=11) groups at the age of 9.5 months. All animals had a baseline PET scan and follow-up scans at two months and after completion of the four-month treatment period. In addition to this longitudinal analysis of cerebral amyloidosis by PET, we undertook biochemical amyloid peptide quantification and histological amyloid plaque analyses after the final PET session. Results: BACE1 inhibitor-treated transgenic mice revealed a progression of the frontal cortical amyloid signal by 8.4 ± 2.2% during the whole treatment period, which was distinctly lower when compared to vehicle-treated mice (15.3 ± 4.4%, p<0.001). A full inhibition of progression was evident in regions with <3.7% of the increase in controls, whereas regions with >10% of the increase in controls showed only 40% attenuation with BACE1 inhibition. BACE1 inhibition in mice with lower amyloidosis at treatment initiation showed a higher efficacy in attenuating progression to PET. A predominant reduction of small plaques in treated mice indicated a main effect of BACE1 on inhibition of de novo amyloidogenesis. Conclusions: This theranostic study with BACE1 treatment in a transgenic AD model together with amyloid PET monitoring indicated that progression of amyloidosis is more effectively reduced in regions with low initial plaque development and revealed the need of an early treatment initiation during amyloidogenesis.
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Affiliation(s)
- Matthias Brendel
- Department of Nuclear Medicine, University Hospital, LMU Munich; Munich, Germany
| | - Anna Jaworska
- DZNE - German Center for Neurodegenerative Diseases, Munich, Germany
- Laboratory of Neurodegeneration, International Institute of Molecular and Cell Biology, Warsaw, Poland
| | - Felix Overhoff
- Department of Nuclear Medicine, University Hospital, LMU Munich; Munich, Germany
| | - Tanja Blume
- Department of Nuclear Medicine, University Hospital, LMU Munich; Munich, Germany
- DZNE - German Center for Neurodegenerative Diseases, Munich, Germany
| | - Federico Probst
- Department of Nuclear Medicine, University Hospital, LMU Munich; Munich, Germany
| | | | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich; Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Christian Haass
- DZNE - German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Biomedical Center (BMC), Ludwig-Maximilians-University Munich, 81377 Munich, Germany
| | | | - Jochen Herms
- DZNE - German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Michael Willem
- Biomedical Center (BMC), Ludwig-Maximilians-University Munich, 81377 Munich, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, University Hospital, LMU Munich; Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Department of Nuclear Medicine, Inselspital, University Hospital Bern, Bern, Switzerland
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46
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Bajpai S, Tripathi M, Pandey RM, Dey AB, Nehra A. Development and validation of Cognitive Training Intervention for Alzheimer's disease (CTI-AD): A picture-based interventional program. DEMENTIA 2018; 19:1203-1219. [PMID: 30180764 DOI: 10.1177/1471301218797043] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Introduction Alzheimer’s disease is a gradual and progressive disorder which cripples the person’s functionality due to cognitive decline. Many clinicopathological and pharmacological therapy has the potential to slow down the progression of the disease but has limited efficacy. One complimentary approach that has emerged is cognitive training interventions which have shown synergistic effect with the drug therapy. Nevertheless, many cognitive interventions lack on specificities of the intervention due to which its efficacy gets scrutinized. Objective To describe the foundation, content, and development of Cognitive Training Intervention for Alzheimer’s disease (CTI-AD) along with the treatment feasibility based on a pilot study. Materials and methods A culture-specific picture-based eight weeks cognitive training manual was developed based on extensive review and focused group discussions. It was standardized on 63 older participants (48 healthy controls (HC); 15 early Alzheimer’s disease cases). Results All the tasks were progressive in nature and were found effective in discriminating the cognitive performance of early Alzheimer’s disease and HC throughout the intervention period. Moreover, it also improved early Alzheimer’s disease performance on the memory (HC: 1st week/8th week = 21.6 ± 5.7/57.3 ± 19.0; early Alzheimer’s disease: 1st week/8th week = 48.5 ± 22.9/60.5 ± 21.8); attention (HC: 1st week/8th week = 90.2 ± 18.0/196.9 ± 28.0; early Alzheimer’s disease: 1st week/8th week = 216.6 ± 78.2/286.8 ± 87.0) and language (HC: 1st week/8th week = 29.8 ± 9.4/115.3 ± 31.1; early Alzheimer’s disease: 1st week/8th week = 211.8 ± 68.4/270.4 ± 104.9) domains, respectively, from the baseline level. Conclusion The current manual (CTI-AD) is one of the first promising non-pharmacological program developed nationally with a strong theoretical base to cater to the tertiary needs of the older adults with early Alzheimer’s disease.
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Affiliation(s)
- Swati Bajpai
- Department of Clinical Neuropsychology, All India Institute of Medical Sciences, New Delhi, India
| | - Manjari Tripathi
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - R M Pandey
- Department of Bio-Statistics, All India Institute of Medical Sciences, New Delhi, India
| | - A B Dey
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Ashima Nehra
- Department of Clinical Neuropsychology, All India Institute of Medical Sciences, New Delhi, India
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Peters F, Salihoglu H, Rodrigues E, Herzog E, Blume T, Filser S, Dorostkar M, Shimshek DR, Brose N, Neumann U, Herms J. BACE1 inhibition more effectively suppresses initiation than progression of β-amyloid pathology. Acta Neuropathol 2018; 135:695-710. [PMID: 29327084 PMCID: PMC5904228 DOI: 10.1007/s00401-017-1804-9] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2017] [Revised: 12/28/2017] [Accepted: 12/29/2017] [Indexed: 01/04/2023]
Abstract
BACE1 is the rate-limiting protease in the production of synaptotoxic β-amyloid (Aβ) species and hence one of the prime drug targets for potential therapy of Alzheimer's disease (AD). However, so far pharmacological BACE1 inhibition failed to rescue the cognitive decline in mild-to-moderate AD patients, which indicates that treatment at the symptomatic stage might be too late. In the current study, chronic in vivo two-photon microscopy was performed in a transgenic AD model to monitor the impact of pharmacological BACE1 inhibition on early β-amyloid pathology. The longitudinal approach allowed to assess the kinetics of individual plaques and associated presynaptic pathology, before and throughout treatment. BACE1 inhibition could not halt but slow down progressive β-amyloid deposition and associated synaptic pathology. Notably, the data revealed that the initial process of plaque formation, rather than the subsequent phase of gradual plaque growth, is most sensitive to BACE1 inhibition. This finding of particular susceptibility of plaque formation has profound implications to achieve optimal therapeutic efficacy for the prospective treatment of AD.
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Affiliation(s)
- Finn Peters
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen Str. 17, 81377, Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Hazal Salihoglu
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen Str. 17, 81377, Munich, Germany
| | - Eva Rodrigues
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen Str. 17, 81377, Munich, Germany
| | - Etienne Herzog
- Université Bordeaux, IINS, UMR 5297, 33000, Bordeaux, France
- CNRS, IINS, UMR 5297, 33000, Bordeaux, France
| | - Tanja Blume
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen Str. 17, 81377, Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Severin Filser
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen Str. 17, 81377, Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Mario Dorostkar
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen Str. 17, 81377, Munich, Germany
- Center for Neuropathology and Prion Research, Ludwig-Maximilians University, Munich, Germany
| | - Derya R Shimshek
- Neuroscience, Novartis Institutes for BioMedical Research (NIBR), Basel, Switzerland
| | - Nils Brose
- Department of Molecular Neurobiology, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - Ulf Neumann
- Neuroscience, Novartis Institutes for BioMedical Research (NIBR), Basel, Switzerland
| | - Jochen Herms
- German Center for Neurodegenerative Diseases (DZNE), Feodor-Lynen Str. 17, 81377, Munich, Germany.
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany.
- Center for Neuropathology and Prion Research, Ludwig-Maximilians University, Munich, Germany.
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48
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Polyakova VO, Kvetnoy IM, Anderson G, Rosati J, Mazzoccoli G, Linkova NS. Reciprocal Interactions of Mitochondria and the Neuroimmunoendocrine System in Neurodegenerative Disorders: An Important Role for Melatonin Regulation. Front Physiol 2018; 9:199. [PMID: 29593561 PMCID: PMC5857592 DOI: 10.3389/fphys.2018.00199] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 02/23/2018] [Indexed: 12/14/2022] Open
Abstract
Structural and functional alterations of mitochondria are intimately linked to a wide array of medical conditions. Many factors are involved in the regulation of mitochondrial function, including cytokines, chaperones, chemokines, neurosteroids, and ubiquitins. The role of diffusely located cells of the neuroendocrine system, including biogenic amines and peptide hormones, in the management of mitochondrial function, as well as the role of altered mitochondrial function in the regulation of these cells and system, is an area of intense investigation. The current article looks at the interactions among the cells of the neuronal-glia, immune and endocrine systems, namely the diffuse neuroimmunoendocrine system (DNIES), and how DNIES interacts with mitochondrial function. Whilst changes in DNIES can impact on mitochondrial function, local, and systemic alterations in mitochondrial function can alter the component systems of DNIES and their interactions. This has etiological, course, and treatment implications for a wide range of medical conditions, including neurodegenerative disorders. Available data on the role of melatonin in these interactions, at cellular and system levels, are reviewed, with directions for future research indicated.
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Affiliation(s)
- Victoria O Polyakova
- Department of Gynecology and Reproductology, Ott Institute of Obstetrics, Saint Petersburg, Russia.,Department of Cell Biology and Pathology, Saint-Petersburg Institute of Bioregulation and Gerontology, Saint Petersburg, Russia.,Department of Physiology and Department of Pathology, Saint Petersburg State University, Saint Petersburg, Russia
| | - Igor M Kvetnoy
- Department of Gynecology and Reproductology, Ott Institute of Obstetrics, Saint Petersburg, Russia.,Department of Cell Biology and Pathology, Saint-Petersburg Institute of Bioregulation and Gerontology, Saint Petersburg, Russia.,Department of Physiology and Department of Pathology, Saint Petersburg State University, Saint Petersburg, Russia
| | - George Anderson
- CRC Scotland and London Clinical Research, London, United Kingdom
| | - Jessica Rosati
- Cell Reprogramming Unit, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Italy
| | - Gianluigi Mazzoccoli
- Division of Internal Medicine and Chronobiology Unit, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Italy
| | - Natalya S Linkova
- Department of Cell Biology and Pathology, Saint-Petersburg Institute of Bioregulation and Gerontology, Saint Petersburg, Russia.,Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg, Russia
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49
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Trovato Salinaro A, Pennisi M, Di Paola R, Scuto M, Crupi R, Cambria MT, Ontario ML, Tomasello M, Uva M, Maiolino L, Calabrese EJ, Cuzzocrea S, Calabrese V. Neuroinflammation and neurohormesis in the pathogenesis of Alzheimer's disease and Alzheimer-linked pathologies: modulation by nutritional mushrooms. IMMUNITY & AGEING 2018; 15:8. [PMID: 29456585 PMCID: PMC5813410 DOI: 10.1186/s12979-017-0108-1] [Citation(s) in RCA: 100] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Accepted: 12/28/2017] [Indexed: 02/08/2023]
Abstract
Human life develops and expands not only in time and space, but also in the retrograde permanent recollection and interweaving of memories. Therefore, individual human identity depends fully on a proper access to the autobiographical memory. Such access is hindered or lost under pathological conditions such as Alzheimer’s disease, including recently associated oxidant pathologies, such as ocular neural degeneration occurring in glaucoma or neurosensorial degeneration occurring in Menière’s disease. Oxidative stress and altered antioxidant systems have been suggested to play a role in the aetiology of major neurodegenerative disorders, and altered expression of genes sensing oxidative stress, as well as decreased cellular stress response mechanisms could synergistically contribute to the course of these oxidant disorders. Thus, the theory that low levels of stress can produce protective responses against the pathogenic processes is a frontier area of neurobiological research focal to understanding and developing therapeutic approaches to neurodegenerative disorders. Herein, we discuss cellular mechanisms underlying AD neuroinflammatory pathogenesis that are contributory to Alzheimer’s disease. We describe endogenous cellular defence mechanism modulation and neurohormesis as a potentially innovative approach to therapeutics for AD and other neurodegenerative conditions that are associated with mitochondrial dysfunction and neuroinflammation. Particularly, we consider the emerging role of the inflammasome as an important component of the neuroprotective network, as well as the importance of Coriolus and Hericium nutritional mushrooms in redox stress responsive mechanisms and neuroprotection.
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Affiliation(s)
- Angela Trovato Salinaro
- 1Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Via Santa Sofia 97, 95123 Catania, Italy
| | - Manuela Pennisi
- 1Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Via Santa Sofia 97, 95123 Catania, Italy.,Spinal Unit, Emergency Hospital "Cannizzaro", Catania, Italy
| | - Rosanna Di Paola
- 2Department of Chemical, Biological, Pharmaceutical and Environmental Sciences University of Messina, Messina, Italy
| | - Maria Scuto
- 1Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Via Santa Sofia 97, 95123 Catania, Italy
| | - Rosalia Crupi
- 2Department of Chemical, Biological, Pharmaceutical and Environmental Sciences University of Messina, Messina, Italy
| | - Maria Teresa Cambria
- 1Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Via Santa Sofia 97, 95123 Catania, Italy
| | - Maria Laura Ontario
- 1Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Via Santa Sofia 97, 95123 Catania, Italy
| | - Mario Tomasello
- 1Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Via Santa Sofia 97, 95123 Catania, Italy
| | - Maurizio Uva
- 3Department of Medical and Surgery Sciences and Advanced Technology, University of Catania, Catania, Italy
| | - Luigi Maiolino
- 3Department of Medical and Surgery Sciences and Advanced Technology, University of Catania, Catania, Italy
| | - Edward J Calabrese
- Environmental Health Sciences Division, School of Public Health, University of Massachusetts, Amherst, MA USA
| | - Salvatore Cuzzocrea
- 2Department of Chemical, Biological, Pharmaceutical and Environmental Sciences University of Messina, Messina, Italy
| | - Vittorio Calabrese
- 1Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, Via Santa Sofia 97, 95123 Catania, Italy
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50
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Abstract
Dementia is increasingly recognized as a major source of disease burden in the United States, yet little research has evaluated the lifecycle implications of dementia. To address this research gap, this article uses the Aging, Demographics, and Memory Study (ADAMS) to provide the first nationally representative, longitudinal estimates of the probability that a dementia-free person will develop dementia later in life. For the 1920 birth cohort, the average dementia-free 70-year-old male had an estimated 26.9 % (SE = 3.2 %) probability of developing dementia, and the average dementia-free 70-year-old female had an estimated 34.7 % (SE = 3.7 %) probability. These estimates of risk of dementia are higher for younger, lower-mortality cohorts and are substantially higher than those found in local epidemiological studies in the United States, suggesting a widespread need to prepare for a life stage with dementia.
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