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Romanella SM, Roe D, Tatti E, Cappon D, Paciorek R, Testani E, Rossi A, Rossi S, Santarnecchi E. The Sleep Side of Aging and Alzheimer's Disease. Sleep Med 2021; 77:209-225. [PMID: 32912799 PMCID: PMC8364256 DOI: 10.1016/j.sleep.2020.05.029] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/13/2020] [Accepted: 05/19/2020] [Indexed: 01/23/2023]
Abstract
As we age, sleep patterns undergo significant modifications in micro and macrostructure, worsening cognition and quality of life. These are associated with remarkable brain changes, like deterioration in synaptic plasticity, gray and white matter, and significant modifications in hormone levels. Sleep alterations are also a core component of mild cognitive impairment (MCI) and Alzheimer's Disease (AD). AD night time is characterized by a gradual decrease in slow-wave activity and a substantial reduction of REM sleep. Sleep abnormalities can accelerate AD pathophysiology, promoting the accumulation of amyloid-β (Aβ) and phosphorylated tau. Thus, interventions that target sleep disturbances in elderly people and MCI patients have been suggested as a possible strategy to prevent or decelerate conversion to dementia. Although cognitive-behavioral therapy and pharmacological medications are still first-line treatments, despite being scarcely effective, new interventions have been proposed, such as sensory stimulation and Noninvasive Brain Stimulation (NiBS). The present review outlines the current state of the art of the relationship between sleep modifications in healthy aging and the neurobiological mechanisms underlying age-related changes. Furthermore, we provide a critical analysis showing how sleep abnormalities influence the prognosis of AD pathology by intensifying Aβ and tau protein accumulation. We discuss potential therapeutic strategies to target sleep disruptions and conclude that there is an urgent need for testing new therapeutic sleep interventions.
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Affiliation(s)
- S M Romanella
- Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, Italy
| | - D Roe
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - E Tatti
- Department of Molecular, Cellular & Biomedical Sciences, CUNY, School of Medicine, New York, NY, USA
| | - D Cappon
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - R Paciorek
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - E Testani
- Sleep Medicine Center, Department of Neurology, Policlinico Santa Maria Le Scotte, Siena, Italy
| | - A Rossi
- Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, Italy; Human Physiology Section, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - S Rossi
- Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, Italy; Human Physiology Section, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - E Santarnecchi
- Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Department of Medicine, Surgery and Neuroscience, Neurology and Clinical Neurophysiology Section, University of Siena, Italy; Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
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Beardmore R, Hou R, Darekar A, Holmes C, Boche D. The Locus Coeruleus in Aging and Alzheimer's Disease: A Postmortem and Brain Imaging Review. J Alzheimers Dis 2021; 83:5-22. [PMID: 34219717 PMCID: PMC8461706 DOI: 10.3233/jad-210191] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2021] [Indexed: 12/21/2022]
Abstract
The locus coeruleus (LC), a tiny nucleus in the brainstem and the principal site of noradrenaline synthesis, has a major role in regulating autonomic function, arousal, attention, and neuroinflammation. LC dysfunction has been linked to a range of disorders; however particular interest is given to the role it plays in Alzheimer's disease (AD). The LC undergoes significant neuronal loss in AD, thought to occur early in the disease process. While neuronal loss in the LC has also been suggested to occur in aging, this relationship is less clear as the findings have been contradictory. LC density has been suggested to be indicative of cognitive reserve and the evidence for these claims will be discussed. Recent imaging techniques allowing visualization of the LC in vivo using neuromelanin-sensitive MRI are developing our understanding of the role of LC in aging and AD. Tau pathology within the LC is evident at an early age in most individuals; however, the relationship between tau accumulation and neuronal loss and why some individuals then develop AD is not understood. Neuromelanin pigment accumulates within LC cells with age and is proposed to be toxic and inflammatory when released into the extracellular environment. This review will explore our current knowledge of the LC changes in both aging and AD from postmortem, imaging, and experimental studies. We will discuss the reasons behind the susceptibility of the LC to neuronal loss, with a focus on the role of extracellular neuromelanin and neuroinflammation caused by the dysfunction of the LC-noradrenaline pathway.
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Affiliation(s)
- Rebecca Beardmore
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Memory Assessment and Research Centre, Moorgreen Hospital, Southern Health Foundation Trust, Southampton, UK
| | - Ruihua Hou
- Clinical and Experimental Sciences, Department of Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Angela Darekar
- Department of Medical Physics, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Clive Holmes
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Memory Assessment and Research Centre, Moorgreen Hospital, Southern Health Foundation Trust, Southampton, UK
| | - Delphine Boche
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
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53
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Clark I, Vissel B. Broader Insights into Understanding Tumor Necrosis Factor and Neurodegenerative Disease Pathogenesis Infer New Therapeutic Approaches. J Alzheimers Dis 2021; 79:931-948. [PMID: 33459706 PMCID: PMC7990436 DOI: 10.3233/jad-201186] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/11/2020] [Indexed: 12/12/2022]
Abstract
Proinflammatory cytokines such as tumor necrosis factor (TNF), with its now appreciated key roles in neurophysiology as well as neuropathophysiology, are sufficiently well-documented to be useful tools for enquiry into the natural history of neurodegenerative diseases. We review the broader literature on TNF to rationalize why abruptly-acquired neurodegenerative states do not exhibit the remorseless clinical progression seen in those states with gradual onsets. We propose that the three typically non-worsening neurodegenerative syndromes, post-stroke, post-traumatic brain injury (TBI), and post cardiac arrest, usually become and remain static because of excess cerebral TNF induced by the initial dramatic peak keeping microglia chronically activated through an autocrine loop of microglial activation through excess cerebral TNF. The existence of this autocrine loop rationalizes post-damage repair with perispinal etanercept and proposes a treatment for cerebral aspects of COVID-19 chronicity. Another insufficiently considered aspect of cerebral proinflammatory cytokines is the fitness of the endogenous cerebral anti-TNF system provided by norepinephrine (NE), generated and distributed throughout the brain from the locus coeruleus (LC). We propose that an intact LC, and therefore an intact NE-mediated endogenous anti-cerebral TNF system, plus the DAMP (damage or danger-associated molecular pattern) input having diminished, is what allows post-stroke, post-TBI, and post cardiac arrest patients a strong long-term survival advantage over Alzheimer's disease and Parkinson's disease sufferers. In contrast, Alzheimer's disease and Parkinson's disease patients remorselessly worsen, being handicapped by sustained, accumulating, DAMP and PAMP (pathogen-associated molecular patterns) input, as well as loss of the LC-origin, NE-mediated, endogenous anti-cerebral TNF system. Adrenergic receptor agonists may counter this.
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Affiliation(s)
- I.A. Clark
- Research School of Biology, Australian National University, Canberra, Australia
| | - B. Vissel
- Centre for Neuroscience and Regenerative Medicine, Faculty of Science, University of Technology, Sydney, Australia
- St. Vincent’s Centre for Applied Medical Research, Sydney, Australia
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Bermejo-Pareja F, Ciudad-Cabañas MJ, Llamas-Velasco S, Tapias-Merino E, Hernández Gallego J, Hernández-Cabria M, Collado-Yurrita L, López-Arrieta JM. Is milk and dairy intake a preventive factor for elderly cognition (dementia and Alzheimer's)? A quality review of cohort surveys. Nutr Rev 2020; 79:743-757. [PMID: 33316068 DOI: 10.1093/nutrit/nuaa045] [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] [Indexed: 12/14/2022] Open
Abstract
Milk and dairy (M&D) is a longstanding human food with widespread use. Many studies showed the preventive capacity of M&D in several human health disorders, but its utility in others is under discussion. Aging has been associated to elderly cognitive decline including dementia-Alzheimer syndrome (Dem-AD). The absence of a therapy to impede or postpone Dem-AD determines the need for its prevention, including nutritional factors. To evaluate the preventive capacity of M&D consumption in elderly Dem-AD we performed a systematic review in the main biomedical databases and information resources, but we present this study as a narrative review to discuss better the complexity of this subject. The elderly Dem-AD has a long pre-symptomatic period and the M&D intake has a widespread use. These determinants and the quality flaws of published studies impeach us to answer whether M&D consumption is preventive for Dem-AD. Moreover, two long Japanese cohorts suggest that M&D intake could prevent Dem-AD. Prospective cohorts beginning in midlife (or early life) could answer this question in the future.
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Affiliation(s)
- Félix Bermejo-Pareja
- Research Unit, University Hospital "12 de Octubre", Madrid. Chair "Alzheimer disease", Department of Medicine, Faculty of Medicine, Complutense University of Madrid, Spain
| | | | - Sara Llamas-Velasco
- Research Institute (Imas12), University Hospital "12 de Octubre," Madrid, Spain
| | - Ester Tapias-Merino
- Research Institute (Imas12), University Hospital "12 de Octubre," Madrid, Spain
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55
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Lamerand S, Shahidehpour R, Ayala I, Gefen T, Mesulam MM, Bigio E, Geula C. Calbindin-D 28K, parvalbumin, and calretinin in young and aged human locus coeruleus. Neurobiol Aging 2020; 94:243-249. [PMID: 32663717 PMCID: PMC7483964 DOI: 10.1016/j.neurobiolaging.2020.06.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/19/2020] [Accepted: 06/06/2020] [Indexed: 11/16/2022]
Abstract
Certain neuronal populations, including basal forebrain cholinergic neurons (BFCN) and noradrenergic neurons of the locus coeruleus (LC), are selectively vulnerable to pathology and loss early in the course of aging and Alzheimer's disease (AD). Human BFCN show substantial loss of the calcium-binding protein (CBP), calbindin-D28K (CB), during normal aging, which is associated with formation of neurofibrillary tangles and BFCN loss in AD. Here we determined if, similar to the BFCN, LC neurons contain CB or the other 2 ubiquitous CBPs parvalbumin and calretinin, and whether these proteins display an age-related loss from LC neurons. Immunostaining for CBP and tyrosine hydroxylase, a marker of catecholaminergic neurons, was used in sections from the LC of young and aged human brains. Parvalbumin and calretinin immunoreactivities were completely absent from human LC neurons. A subpopulation of LC neurons (~10%) contained CB immunoreactivity. Quantitative analysis revealed no age-related loss of CB from LC neurons. Thus, unlike the BFCN, age-related loss of CB does not figure prominently in the selective vulnerability of LC neurons to degeneration in AD.
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Affiliation(s)
- Sydney Lamerand
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Ryan Shahidehpour
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Ivan Ayala
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Tamar Gefen
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - M-Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Eileen Bigio
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Changiz Geula
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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56
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Ausó E, Gómez-Vicente V, Esquiva G. Biomarkers for Alzheimer's Disease Early Diagnosis. J Pers Med 2020; 10:E114. [PMID: 32899797 PMCID: PMC7563965 DOI: 10.3390/jpm10030114] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 08/27/2020] [Accepted: 09/01/2020] [Indexed: 12/11/2022] Open
Abstract
Alzheimer's disease (AD) is the most common cause of dementia, affecting the central nervous system (CNS) through the accumulation of intraneuronal neurofibrillary tau tangles (NFTs) and β-amyloid plaques. By the time AD is clinically diagnosed, neuronal loss has already occurred in many brain and retinal regions. Therefore, the availability of early and reliable diagnosis markers of the disease would allow its detection and taking preventive measures to avoid neuronal loss. Current diagnostic tools in the brain, such as magnetic resonance imaging (MRI), positron emission tomography (PET) imaging, and cerebrospinal fluid (CSF) biomarkers (Aβ and tau) detection are invasive and expensive. Brain-secreted extracellular vesicles (BEVs) isolated from peripheral blood have emerged as novel strategies in the study of AD, with enormous potential as a diagnostic evaluation of therapeutics and treatment tools. In addition; similar mechanisms of neurodegeneration have been demonstrated in the brain and the eyes of AD patients. Since the eyes are more accessible than the brain, several eye tests that detect cellular and vascular changes in the retina have also been proposed as potential screening biomarkers. The aim of this study is to summarize and discuss several potential markers in the brain, eye, blood, and other accessible biofluids like saliva and urine, and correlate them with earlier diagnosis and prognosis to identify individuals with mild symptoms prior to dementia.
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Affiliation(s)
| | | | - Gema Esquiva
- Department of Optics, Pharmacology and Anatomy, University of Alicante, 03690 Alicante, Spain; (E.A.); (V.G.-V.)
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57
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Joseph CR. Novel MRI Techniques Identifying Vascular Leak and Paravascular Flow Reduction in Early Alzheimer Disease. Biomedicines 2020; 8:biomedicines8070228. [PMID: 32698354 PMCID: PMC7400582 DOI: 10.3390/biomedicines8070228] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 07/12/2020] [Accepted: 07/13/2020] [Indexed: 02/07/2023] Open
Abstract
With beta amyloid and tau antibody treatment trial failures, avenues directed to other facets of the disease pathophysiology are being explored to treat in the preclinical or early clinical state. Clear evidence of blood–brain barrier (BBB) breakdown occurring early in the AD process has recently been established. Likewise, the glymphatic system regulating water and solute inflow and outflow in parallel with the vascular system is affected causing delayed clearance of fluid waste. Its dysfunction as a component of AD along with BBB leak are reasonable candidates to explore for future treatments. Ideally, human medication trials require a minimally invasive method of quantifying both improvements in BBB integrity and glymphatic fluid clearance correlated with clinical outcomes. We will review the known physiology and anatomy of the BBB system, and its relationship to the glymphatic system and the microglial surveillance system. Dysfunction of this tripart system occurring in preclinical Alzheimer disease (AD) will be reviewed along with existing MRI tools for identifying altered flow dynamics useful for monitoring improved functionality with future treatments. High-resolution dynamic contrast enhanced MRI imaging demonstrating BBB leak and the recently reported non-invasive 3D PASL MRI pilot study demonstrating significant delay in glymphatic clearance in AD subjects appear to be the best candidates.
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Affiliation(s)
- Charles R Joseph
- Department of Internal Medicine, Liberty University College of Osteopathic Medicine, Lynchburg, VA 24502, USA
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58
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Uddin MS, Tewari D, Mamun AA, Kabir MT, Niaz K, Wahed MII, Barreto GE, Ashraf GM. Circadian and sleep dysfunction in Alzheimer's disease. Ageing Res Rev 2020; 60:101046. [PMID: 32171783 DOI: 10.1016/j.arr.2020.101046] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 02/05/2020] [Accepted: 03/10/2020] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD) is a devastating and irreversible cognitive impairment and the most common type of dementia. Along with progressive cognitive impairment, dysfunction of the circadian rhythms also plays a pivotal role in the progression of AD. A mutual relationship among circadian rhythms, sleep, and AD has been well-recommended. The etiopathogenesis of the disturbances of the circadian system and AD share some general features that also unlock the outlook of observing them as a mutually dependent pathway. Indeed, the burden of amyloid β (Aβ), neurofibrillary tangles (NFTs), neuroinflammation, oxidative stress, and dysfunction of circadian rhythms may lead to AD. Aging can alter both sleep timings and quality that can be strongly disrupted in AD. Increased production of Aβ and reduced Aβ clearance are caused by a close interplay of Aβ, sleep disturbance and raised wakefulness. Besides Aβ, the impact of tau pathology is possibly noteworthy to the sleep deprivation found in AD. Hence, this review is focused on the primary mechanistic complexities linked to disruption of circadian rhythms, sleep deprivation, and AD. Furthermore, this review also highlights the potential therapeutic strategies to abate AD pathogenesis.
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59
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Lu J, Bao W, Li M, Li L, Zhang Z, Alberts I, Brendel M, Cumming P, Lu H, Xiao Z, Zuo C, Guan Y, Zhao Q, Rominger A. Associations of [ 18F]-APN-1607 Tau PET Binding in the Brain of Alzheimer's Disease Patients With Cognition and Glucose Metabolism. Front Neurosci 2020; 14:604. [PMID: 32694971 PMCID: PMC7338611 DOI: 10.3389/fnins.2020.00604] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 05/18/2020] [Indexed: 11/16/2022] Open
Abstract
Molecular imaging of tauopathies is complicated by the differing specificities and off-target binding properties of available radioligands for positron emission tomography (PET). [18F]-APN-1607 ([18F]-PM-PBB3) is a newly developed PET tracer with promising properties for tau imaging. We aimed to characterize the cerebral binding of [18F]-APN-1607 in Alzheimer's disease (AD) patients compared to normal control (NC) subjects. Therefore, we obtained static late frame PET recordings with [18F]-APN-1607 and [18F]-FDG in patients with a clinical diagnosis of AD group, along with an age-matched NC group ([18F]-APN-1607 only). Using statistical parametric mapping (SPM) and volume of interest (VOI) analyses of the reference region normalized standardized uptake value ratio maps, we then tested for group differences and relationships between both PET biomarkers, as well as their associations with clinical general cognition. In the AD group, [18F]-APN-1607 binding was elevated in widespread cortical regions (P < 0.001 for VOI analysis, familywise error-corrected P < 0.01 for SPM analysis). The regional uptake in AD patients correlated negatively with Mini-Mental State Examination score (frontal lobe: R = -0.632, P = 0.004; temporal lobe: R = -0.593, P = 0.008; parietal lobe: R = -0.552, P = 0.014; insula: R = -0.650, P = 0.003; cingulum: R = -0.665, P = 0.002) except occipital lobe (R = -0.417, P = 0.076). The hypometabolism to [18F]-FDG PET in AD patients also showed negative correlations with regional [18F]-APN-1607 binding in some signature areas of AD (temporal lobe: R = -0.530, P = 0.020; parietal lobe: R = -0.637, P = 0.003; occipital lobe: R = -0.567, P = 0.011). In conclusion, our results suggested that [18F]-APN-1607 PET sensitively detected tau deposition in AD and that individual tauopathy correlated with impaired cerebral glucose metabolism and cognitive function.
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Affiliation(s)
- Jiaying Lu
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Weiqi Bao
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Ming Li
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Ling Li
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhengwei Zhang
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Ian Alberts
- Department of Nuclear Medicine, University Hospital Bern, Bern, Switzerland
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, Ludwig Maximilian University of Munich, Munich, Germany
| | - Paul Cumming
- Department of Nuclear Medicine, University Hospital Bern, Bern, Switzerland
- Faculty of Health, School of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD, Australia
| | - Huimeng Lu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhenxu Xiao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chuantao Zuo
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Axel Rominger
- Department of Nuclear Medicine, University Hospital Bern, Bern, Switzerland
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60
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Bermejo-Pareja F, Del Ser T, Valentí M, de la Fuente M, Bartolome F, Carro E. Salivary lactoferrin as biomarker for Alzheimer's disease: Brain-immunity interactions. Alzheimers Dement 2020; 16:1196-1204. [PMID: 32543760 PMCID: PMC7984071 DOI: 10.1002/alz.12107] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 03/09/2020] [Indexed: 12/12/2022]
Abstract
Objective We aim to explain why salivary lactoferrin (Lf) levels are reduced in patients suffering mild cognitive impairment (MCI) and sporadic Alzheimer's disease (sAD).1 We also will discuss if such Lf decrease could be due to a downregulation of the sAD associated systemic immunity. Background Several non‐neurological alterations have been described in sAD, mainly in skin, blood cell, and immunological capacities. We reviewed briefly the main pathophysiological theories of sAD (amyloid cascade, tau, unfolder protein tau, and amyloid deposits) emphasizing the most brain based hypotheses such as the updated tau‐related neuron skeletal hypothesis; we also comment on the systemic theories that emphasize the fetal origin of the complex disorders that include the low inflammatory and immunity theories of sAD. New/updated hypothesis Lf has important anti‐infectious and immunomodulatory roles in health and disease. We present the hypothesis that the reduced levels of saliva Lf could be an effect of immunological disturbances associated to sAD. Under this scenario, two alternative pathways are possible: first, whether sAD could be a systemic disorder (or disorders) related to early immunological and low inflammatory alterations; second, if systemic immunity alterations of sAD manifestations could be downstream of early sAD brain affectations. Major challenges for the hypothesis The major challenge of the Lf as early sAD biomarker would be its validation in other clinical and population‐based studies. It is possible the decreased salivary Lf in early sAD could be related to immunological modulation actions, but other different unknown mechanisms could be the origin of such reduction. Linkage to other major theories This hypothesis is in agreement with two physiopathological explanations of the sAD as a downstream process determined by the early lesions of the hypothalamus and autonomic vegetative system (neurodegeneration), or as a consequence of low neuroinflammation and dysimmunity since the early life aggravated in the elderly (immunosenescence).
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Affiliation(s)
- Félix Bermejo-Pareja
- Department of Medicine, Complutense University, Madrid, Spain.,Neurodegenerative Disorders Group, Instituto de Investigación Hospital 12 de Octubre (imas12), Madrid, Spain
| | - Teodoro Del Ser
- Alzheimer's Disease Investigation Research Unit, CIEN Foundation, Carlos III Institute of Health, Queen Sofia Foundation, Alzheimer Research Centre, Madrid, Spain
| | - Meritxell Valentí
- Alzheimer's Disease Investigation Research Unit, CIEN Foundation, Carlos III Institute of Health, Queen Sofia Foundation, Alzheimer Research Centre, Madrid, Spain
| | - Mónica de la Fuente
- Department of Genetics, Physiology and Microbiology (Unit of Animal Physiology), Faculty of Biology, Complutense University of Madrid, Madrid, Spain.,Aging, Neuroimmunology and Nutrition Group, Instituto de Investigación Hospital 12 de Octubre (imas12), Madrid, Spain
| | - Fernando Bartolome
- Neurodegenerative Disorders Group, Instituto de Investigación Hospital 12 de Octubre (imas12), Madrid, Spain.,Networking Biomedical Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Eva Carro
- Neurodegenerative Disorders Group, Instituto de Investigación Hospital 12 de Octubre (imas12), Madrid, Spain.,Networking Biomedical Research Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
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Ehrenberg AJ, Khatun A, Coomans E, Betts MJ, Capraro F, Thijssen EH, Senkevich K, Bharucha T, Jafarpour M, Young PNE, Jagust W, Carter SF, Lashley T, Grinberg LT, Pereira JB, Mattsson-Carlgren N, Ashton NJ, Hanrieder J, Zetterberg H, Schöll M, Paterson RW. Relevance of biomarkers across different neurodegenerative diseases. ALZHEIMERS RESEARCH & THERAPY 2020; 12:56. [PMID: 32404143 PMCID: PMC7222479 DOI: 10.1186/s13195-020-00601-w] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 03/16/2020] [Indexed: 01/11/2023]
Abstract
Background The panel of fluid- and imaging-based biomarkers available for neurodegenerative disease research is growing and has the potential to close important gaps in research and the clinic. With this growth and increasing use, appropriate implementation and interpretation are paramount. Various biomarkers feature nuanced differences in strengths, limitations, and biases that must be considered when investigating disease etiology and clinical utility. For example, neuropathological investigations of Alzheimer’s disease pathogenesis can fall in disagreement with conclusions reached by biomarker-based investigations. Considering the varied strengths, limitations, and biases of different research methodologies and approaches may help harmonize disciplines within the neurodegenerative disease field. Purpose of review Along with separate review articles covering fluid and imaging biomarkers in this issue of Alzheimer’s Research and Therapy, we present the result of a discussion from the 2019 Biomarkers in Neurodegenerative Diseases course at the University College London. Here, we discuss themes of biomarker use in neurodegenerative disease research, commenting on appropriate use, interpretation, and considerations for implementation across different neurodegenerative diseases. We also draw attention to areas where biomarker use can be combined with other disciplines to understand issues of pathophysiology and etiology underlying dementia. Lastly, we highlight novel modalities that have been proposed in the landscape of neurodegenerative disease research and care.
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Affiliation(s)
- Alexander J Ehrenberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA. .,Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA. .,Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.
| | - Ayesha Khatun
- Dementia Research Centre, University College London Institute of Neurology, London, UK
| | - Emma Coomans
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Matthew J Betts
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Federica Capraro
- The Francis Crick Institute, London, UK.,Department of Neuromuscular Diseases, University College London Queen Square Institute of Neurology, London, UK
| | - Elisabeth H Thijssen
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,Department of Clinical Chemistry, Amsterdam UMC, Amsterdam, The Netherlands
| | - Konstantin Senkevich
- Petersburg Nuclear Physics Institute names by B.P. Konstantinov of National Research Center, Kurchatov Institute, St. Petersburg, Russia.,First Pavlov State Medical University of St. Petersburg, St. Petersburg, Russia
| | - Tehmina Bharucha
- Oxford Glycobiology Institute, Department of Biochemistry , University of Oxford, Oxford, UK
| | - Mehrsa Jafarpour
- Department of Neurodegenerative Disease, UCL Queen Square, Institute of Neurology, University College London, London, UK
| | - Peter N E Young
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Center for Molecular and Translational Medicine, Lund University, Lund, Sweden
| | - William Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.,Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Stephen F Carter
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK.,Wolfson Molecular Imaging Centre, Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK
| | - Tammaryn Lashley
- Department of Neurodegenerative Disease, UCL Queen Square, Institute of Neurology, University College London, London, UK.,Queen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK
| | - Lea T Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,University of São Paulo Medical School, São Paulo, Brazil.,Global Brain Health Institute, San Francisco, CA, USA
| | - Joana B Pereira
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Niklas Mattsson-Carlgren
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Center for Molecular and Translational Medicine, Lund University, Lund, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Wallenberg Center for Molecular and Translational Medicine, Lund University, Lund, Sweden.,King's College London, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK.,NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Jörg Hanrieder
- Department of Neurodegenerative Disease, UCL Queen Square, Institute of Neurology, University College London, London, UK.,Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Queen Square, Institute of Neurology, University College London, London, UK.,Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,UK Dementia Research Institute at University College London, London, UK
| | - Michael Schöll
- Department of Neurodegenerative Disease, UCL Queen Square, Institute of Neurology, University College London, London, UK.,Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | - Ross W Paterson
- Dementia Research Centre, University College London Institute of Neurology, London, UK
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62
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Janitzky K. Impaired Phasic Discharge of Locus Coeruleus Neurons Based on Persistent High Tonic Discharge-A New Hypothesis With Potential Implications for Neurodegenerative Diseases. Front Neurol 2020; 11:371. [PMID: 32477246 PMCID: PMC7235306 DOI: 10.3389/fneur.2020.00371] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 04/14/2020] [Indexed: 12/21/2022] Open
Abstract
The locus coeruleus (LC) is a small brainstem nucleus with widely distributed noradrenergic projections to the whole brain, and loss of LC neurons is a prominent feature of age-related neurodegenerative diseases, such as Alzheimer's disease (AD) and Parkinson's disease (PD). This article discusses the hypothesis that in early stages of neurodegenerative diseases, the discharge mode of LC neurons could be changed to a persistent high tonic discharge, which in turn might impair phasic discharge. Since phasic discharge of LC neurons is required for the release of high amounts of norepinephrine (NE) in the brain to promote anti-inflammatory and neuroprotective effects, persistent high tonic discharge of LC neurons could be a key factor in the progression of neurodegenerative diseases. Transcutaneous vagal stimulation (t-VNS), a non-invasive technique that potentially increases phasic discharge of LC neurons, could therefore provide a non-pharmacological treatment approach in specific disease stages. This article focuses on LC vulnerability in neurodegenerative diseases, discusses the hypothesis that a persistent high tonic discharge of LC neurons might affect neurodegenerative processes, and finally reflects on t-VNS as a potentially useful clinical tool in specific stages of AD and PD.
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Affiliation(s)
- Kathrin Janitzky
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
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63
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Senova S, Fomenko A, Gondard E, Lozano AM. Anatomy and function of the fornix in the context of its potential as a therapeutic target. J Neurol Neurosurg Psychiatry 2020; 91:547-559. [PMID: 32132227 PMCID: PMC7231447 DOI: 10.1136/jnnp-2019-322375] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 02/10/2020] [Accepted: 02/15/2020] [Indexed: 02/07/2023]
Abstract
The fornix is a white matter bundle located in the mesial aspect of the cerebral hemispheres, which connects various nodes of a limbic circuitry and is believed to play a key role in cognition and episodic memory recall. As the most prevalent cause of dementia, Alzheimer's disease (AD) dramatically impairs the quality of life of patients and imposes a significant societal burden on the healthcare system. As an established treatment for movement disorders, deep brain stimulation (DBS) is currently being investigated in preclinical and clinical studies for treatment of memory impairment in AD by modulating fornix activity. Optimal target and stimulation parameters to potentially rescue memory deficits have yet to be determined. The aim of this review is to consolidate the structural and functional aspects of the fornix in the context of neuromodulation for memory deficits. We first present an anatomical and functional overview of the fibres and structures interconnected by the fornix. Recent evidence from preclinical models suggests that the fornix is subdivided into two distinct functional axes: a septohippocampal pathway and a subiculothalamic pathway. Each pathway's target and origin structures are presented, followed by a discussion of their oscillatory dynamics and functional connectivity. Overall, neuromodulation of each pathway of the fornix is discussed in the context of evidence-based forniceal DBS strategies. It is not yet known whether driving fornix activity can enhance cognition-optimal target and stimulation parameters to rescue memory deficits have yet to be determined.
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Affiliation(s)
- Suhan Senova
- Neurosurgery, Institut Mondor de recherche biomedicale, Créteil, Île-de-France, France
| | - Anton Fomenko
- Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada
- University Health Network, Toronto, Ontario, Canada
| | | | - Andres M Lozano
- Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada
- University Health Network, Toronto, Ontario, Canada
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64
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Shin S, Kim D, Song JY, Jeong H, Hyeon SJ, Kowall NW, Ryu H, Pae AN, Lim S, Kim YK. Visualization of soluble tau oligomers in TauP301L-BiFC transgenic mice demonstrates the progression of tauopathy. Prog Neurobiol 2020; 187:101782. [PMID: 32105751 DOI: 10.1016/j.pneurobio.2020.101782] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 02/16/2020] [Accepted: 02/21/2020] [Indexed: 11/30/2022]
Abstract
Accumulation of abnormal tau aggregates in the brain is a pathological hallmark of multiple neurodegenerative disorders including Alzheimer's disease. Increasing evidence suggests that soluble tau aggregates play a key role in tau pathology as neurotoxic species causing neuronal cell death and act as prion-like seeds mediating tau propagation. Despite the pathological relevance, there is a paucity of methods to monitor tau oligomerization in the brain. As a tool to monitor tau self-assembly in the brain, we generated a novel tau transgenic mouse, named TauP301L-BiFC. By introducing bimolecular fluorescence complementation technique to human tau containing a P301L mutation, we were able to monitor and quantify tau self-assembly, represented by BiFC fluorescence in the brains of transgenic TauP301L-BiFC mice. TauP301L-BiFC mice showed soluble tau oligomerization from 3 months, showing significantly enriched BiFC fluorescence in the brain. Then, massive tau fragmentation occured at 6 months showing dramatically decreased TauP301L-BiFC fluorescence. The fragmented tau species served as a seed for insoluble tau aggregation. In a result, insoluble TauP301L-BiFC aggregates coaggregated with endogenous mouse tau accumulated in the brain, showing subsequently increased BiFC fluorescence from 9 months. Neuronal degeneration and cognitive deficits were observed from 12 months of age. TauP301L-BiFC mouse model demonstrated that methylene blue reduced the amount of soluble tau oligomers in the brain, resulting in the prevention of cognitive impairments. We assure that TauP301L-BiFC mice are a bona-fide animal tool to monitor pathological tau oligomerization in AD and other tauopathies.
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Affiliation(s)
- Seulgi Shin
- Convergence Research Center for Diagnosis, Treatment and Care System of Dementia, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea; Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology (UST), Seoul, 02792, Republic of Korea
| | - Dohee Kim
- Convergence Research Center for Diagnosis, Treatment and Care System of Dementia, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Ji Yeon Song
- Convergence Research Center for Diagnosis, Treatment and Care System of Dementia, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Hyeanjeong Jeong
- Convergence Research Center for Diagnosis, Treatment and Care System of Dementia, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea; Department of Life Sciences, School of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea
| | - Seung Jae Hyeon
- Center for Neuroscience, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea
| | - Neil W Kowall
- Boston University Alzheimer's Disease Center and Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Hoon Ryu
- Center for Neuroscience, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea; Boston University Alzheimer's Disease Center and Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Ae Nim Pae
- Convergence Research Center for Diagnosis, Treatment and Care System of Dementia, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea; Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology (UST), Seoul, 02792, Republic of Korea
| | - Sungsu Lim
- Convergence Research Center for Diagnosis, Treatment and Care System of Dementia, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
| | - Yun Kyung Kim
- Convergence Research Center for Diagnosis, Treatment and Care System of Dementia, Brain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea; Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology (UST), Seoul, 02792, Republic of Korea.
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65
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Wang C, Holtzman DM. Bidirectional relationship between sleep and Alzheimer's disease: role of amyloid, tau, and other factors. Neuropsychopharmacology 2020; 45:104-120. [PMID: 31408876 PMCID: PMC6879647 DOI: 10.1038/s41386-019-0478-5] [Citation(s) in RCA: 293] [Impact Index Per Article: 73.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 07/28/2019] [Accepted: 08/02/2019] [Indexed: 01/04/2023]
Abstract
As we age, we experience changes in our nighttime sleep and daytime wakefulness. Individuals afflicted with Alzheimer's disease (AD) can develop sleep problems even before memory and other cognitive deficits are reported. As the disease progresses and cognitive changes ensue, sleep disturbances become even more debilitating. Thus, it is imperative to gain a better understanding of the relationship between sleep and AD pathogenesis. We postulate a bidirectional relationship between sleep and the neuropathological hallmarks of AD; in particular, the accumulation of amyloid-β (Aβ) and tau. Our research group has shown that extracellular levels of both Aβ and tau fluctuate during the normal sleep-wake cycle. Disturbed sleep and increased wakefulness acutely lead to increased Aβ production and decreased Aβ clearance, whereas Aβ aggregation and deposition is enhanced by chronic increased wakefulness in animal models. Once Aβ accumulates, there is evidence in both mice and humans that this results in disturbed sleep. New findings from our group reveal that acute sleep deprivation increases levels of tau in mouse brain interstitial fluid (ISF) and human cerebrospinal fluid (CSF) and chronic sleep deprivation accelerates the spread of tau protein aggregates in neural networks. Finally, recent evidence also suggests that accumulation of tau aggregates in the brain correlates with decreased nonrapid eye movement (NREM) sleep slow wave activity. In this review, we first provide a brief overview of the AD and sleep literature and then highlight recent advances in the understanding of the relationship between sleep and AD pathogenesis. Importantly, the effects of the bidirectional relationship between the sleep-wake cycle and tau have not been previously discussed in other reviews on this topic. Lastly, we provide possible directions for future studies on the role of sleep in AD.
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Affiliation(s)
- Chanung Wang
- Department of Neurology, Hope Center for Neurological Disorders, Charles F. and Joanne Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - David M Holtzman
- Department of Neurology, Hope Center for Neurological Disorders, Charles F. and Joanne Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, 63110, USA.
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66
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Dutt S, Li Y, Mather M, Nation DA. Brainstem Volumetric Integrity in Preclinical and Prodromal Alzheimer's Disease. J Alzheimers Dis 2020; 77:1579-1594. [PMID: 32925030 PMCID: PMC7868064 DOI: 10.3233/jad-200187] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND Neuropathological studies have suggested the tau pathology observed in Alzheimer's disease (AD) originates in brainstem nuclei, but no studies to date have quantified brainstem volumes in clinical populations with biomarker-confirmed mild cognitive impairment (MCI) or dementia due to AD or determined the value of brainstem volumetrics in predicting dementia. OBJECTIVE The present study examined whether MRI-based brainstem volumes differ among cognitively normal older adults and those with MCI or dementia due to AD and whether preclinical brainstem volumes predict future progression to dementia. METHODS Alzheimer's Disease Neuroimaging Initiative participants (N = 1,629) underwent baseline MRI scanning with variable clinical follow-up (6-120 months). Region of interest and voxel-based morphometric methods assessed brainstem volume differences among cognitively normal (n = 814), MCI (n = 542), and AD (n = 273) participants, as well as subsets of cerebrospinal fluid biomarker-confirmed MCI (n = 203) and AD (n = 160) participants. RESULTS MCI and AD cases showed smaller midbrain volumes relative to cognitively normal participants when normalizing to whole brainstem volume, and showed smaller midbrain, locus coeruleus, pons, and whole brainstem volumes when normalizing to total intracranial volume. Cognitively normal individuals who later progressed to AD dementia diagnosis exhibited smaller baseline midbrain volumes than individuals who did not develop dementia, and voxel-wise analyses revealed specific volumetric reduction of the locus coeruleus. CONCLUSION Findings are consistent with neuropathological observations of early AD-related pathology in brainstem nuclei and further suggest the clinical relevance of brainstem substructural volumes in preclinical and prodromal AD.
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Affiliation(s)
- Shubir Dutt
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Yanrong Li
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Mara Mather
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Daniel A. Nation
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
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67
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Wharton SB, Wang D, Parikh C, Matthews FE, Brayne C, Ince PG. Epidemiological pathology of Aβ deposition in the ageing brain in CFAS: addition of multiple Aβ-derived measures does not improve dementia assessment using logistic regression and machine learning approaches. Acta Neuropathol Commun 2019; 7:198. [PMID: 31806014 PMCID: PMC6896261 DOI: 10.1186/s40478-019-0858-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 11/25/2019] [Indexed: 02/03/2023] Open
Abstract
Aβ-amyloid deposition is a key feature of Alzheimer’s disease, but Consortium to Establish a Registry for Alzheimer's Disease (CERAD) assessment, based on neuritic plaque density, shows a limited relationships to dementia. Thal phase is based on a neuroanatomical hierarchy of Aβ-deposition, and in combination with Braak neurofibrillary tangle staging also allows derivation of primary age-related tauopathy (PART). We sought to determine whether Thal Aβ phase predicts dementia better than CERAD in a population-representative cohort (n = 186) derived from the Cognitive Function and Ageing Study (CFAS). Cerebral amyloid angiopathy (CAA) was quantitied as the number of neuroanatomical areas involved and cases meeting criteria for PART were defined to determine if they are a distinct pathological group within the ageing population. Agreement with the Thal scheme was excellent. In univariate analysis Thal phase performed less well as a predictor of dementia than CERAD, Braak or CAA. Logistic regression, decision tree and linear discriminant analysis were performed for multivariable analysis, with similar results. Thal phase did not provide a better explanation of dementia than CERAD, and there was no additional benefit to including more than one assessment of Aβ in the model. Number of areas involved by CAA was highly correlated with assessment based on a severity score (p < 0.001). The presence of capillary involvement (CAA type I) was associated with higher Thal phase and Braak stage (p < 0.001). CAA was not associated with microinfarcts (p = 0.1). Cases satisfying pathological criteria for PART were present at a frequency of 10.2% but were not older and did not have a higher likelihood of dementia than a comparison group of individuals with similar Braak stage but with more Aβ. They also did not have higher hippocampal-tau stage, although PART was weakly associated with increased presence of thorn-shaped astrocytes (p = 0.048), suggesting common age-related mechanisms. Thal phase is highly applicable in a population-representative setting and allows definition of pathological subgroups, such as PART. Thal phase, plaque density, and extent and type of CAA measure different aspects of Aβ pathology, but addition of more than one Aβ measure does not improve dementia prediction, probably because these variables are highly correlated. Machine learning predictions reveal the importance of combining neuropathological measurements for the assessment of dementia.
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68
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Satizabal CL, Adams HHH, Hibar DP, White CC, Knol MJ, Stein JL, Scholz M, Sargurupremraj M, Jahanshad N, Roshchupkin GV, Smith AV, Bis JC, Jian X, Luciano M, Hofer E, Teumer A, van der Lee SJ, Yang J, Yanek LR, Lee TV, Li S, Hu Y, Koh JY, Eicher JD, Desrivières S, Arias-Vasquez A, Chauhan G, Athanasiu L, Rentería ME, Kim S, Hoehn D, Armstrong NJ, Chen Q, Holmes AJ, den Braber A, Kloszewska I, Andersson M, Espeseth T, Grimm O, Abramovic L, Alhusaini S, Milaneschi Y, Papmeyer M, Axelsson T, Ehrlich S, Roiz-Santiañez R, Kraemer B, Håberg AK, Jones HJ, Pike GB, Stein DJ, Stevens A, Bralten J, Vernooij MW, Harris TB, Filippi I, Witte AV, Guadalupe T, Wittfeld K, Mosley TH, Becker JT, Doan NT, Hagenaars SP, Saba Y, Cuellar-Partida G, Amin N, Hilal S, Nho K, Mirza-Schreiber N, Arfanakis K, Becker DM, Ames D, Goldman AL, Lee PH, Boomsma DI, Lovestone S, Giddaluru S, Le Hellard S, Mattheisen M, Bohlken MM, Kasperaviciute D, Schmaal L, Lawrie SM, Agartz I, Walton E, Tordesillas-Gutierrez D, Davies GE, Shin J, Ipser JC, Vinke LN, Hoogman M, Jia T, Burkhardt R, Klein M, Crivello F, Janowitz D, Carmichael O, Haukvik UK, Aribisala BS, Schmidt H, Strike LT, Cheng CY, Risacher SL, Pütz B, Fleischman DA, Assareh AA, Mattay VS, Buckner RL, Mecocci P, Dale AM, Cichon S, Boks MP, Matarin M, Penninx BWJH, Calhoun VD, Chakravarty MM, Marquand AF, Macare C, Kharabian Masouleh S, Oosterlaan J, Amouyel P, Hegenscheid K, Rotter JI, Schork AJ, Liewald DCM, de Zubicaray GI, Wong TY, Shen L, Sämann PG, Brodaty H, Roffman JL, de Geus EJC, Tsolaki M, Erk S, van Eijk KR, Cavalleri GL, van der Wee NJA, McIntosh AM, Gollub RL, Bulayeva KB, Bernard M, Richards JS, Himali JJ, Loeffler M, Rommelse N, Hoffmann W, Westlye LT, Valdés Hernández MC, Hansell NK, van Erp TGM, Wolf C, Kwok JBJ, Vellas B, Heinz A, Olde Loohuis LM, Delanty N, Ho BC, Ching CRK, Shumskaya E, Singh B, Hofman A, van der Meer D, Homuth G, Psaty BM, Bastin ME, Montgomery GW, Foroud TM, Reppermund S, Hottenga JJ, Simmons A, Meyer-Lindenberg A, Cahn W, Whelan CD, van Donkelaar MMJ, Yang Q, Hosten N, Green RC, Thalamuthu A, Mohnke S, Hulshoff Pol HE, Lin H, Jack CR, Schofield PR, Mühleisen TW, Maillard P, Potkin SG, Wen W, Fletcher E, Toga AW, Gruber O, Huentelman M, Davey Smith G, Launer LJ, Nyberg L, Jönsson EG, Crespo-Facorro B, Koen N, Greve DN, Uitterlinden AG, Weinberger DR, Steen VM, Fedko IO, Groenewold NA, Niessen WJ, Toro R, Tzourio C, Longstreth WT, Ikram MK, Smoller JW, van Tol MJ, Sussmann JE, Paus T, Lemaître H, Schroeter ML, Mazoyer B, Andreassen OA, Holsboer F, Depondt C, Veltman DJ, Turner JA, Pausova Z, Schumann G, van Rooij D, Djurovic S, Deary IJ, McMahon KL, Müller-Myhsok B, Brouwer RM, Soininen H, Pandolfo M, Wassink TH, Cheung JW, Wolfers T, Martinot JL, Zwiers MP, Nauck M, Melle I, Martin NG, Kanai R, Westman E, Kahn RS, Sisodiya SM, White T, Saremi A, van Bokhoven H, Brunner HG, Völzke H, Wright MJ, van 't Ent D, Nöthen MM, Ophoff RA, Buitelaar JK, Fernández G, Sachdev PS, Rietschel M, van Haren NEM, Fisher SE, Beiser AS, Francks C, Saykin AJ, Mather KA, Romanczuk-Seiferth N, Hartman CA, DeStefano AL, Heslenfeld DJ, Weiner MW, Walter H, Hoekstra PJ, Nyquist PA, Franke B, Bennett DA, Grabe HJ, Johnson AD, Chen C, van Duijn CM, Lopez OL, Fornage M, Wardlaw JM, Schmidt R, DeCarli C, De Jager PL, Villringer A, Debette S, Gudnason V, Medland SE, Shulman JM, Thompson PM, Seshadri S, Ikram MA. Genetic architecture of subcortical brain structures in 38,851 individuals. Nat Genet 2019; 51:1624-1636. [PMID: 31636452 PMCID: PMC7055269 DOI: 10.1038/s41588-019-0511-y] [Citation(s) in RCA: 167] [Impact Index Per Article: 33.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 09/05/2019] [Indexed: 12/15/2022]
Abstract
Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.
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Affiliation(s)
- Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.
- Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA.
- The Framingham Heart Study, Framingham, MA, USA.
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.
| | - Hieab H H Adams
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Clinical Genetics, Erasmus MC, Rotterdam, the Netherlands
| | - Derrek P Hibar
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Charles C White
- Cell Circuits Program, Broad Institute, Cambridge, MA, USA
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Jason L Stein
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE: The Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Muralidharan Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, Bordeaux, France
| | - Neda Jahanshad
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Gennady V Roshchupkin
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Medical Informatics, Erasmus MC, Rotterdam, the Netherlands
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Xueqiu Jian
- The Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Michelle Luciano
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Lisa R Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tom V Lee
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Shuo Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yanhui Hu
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Jia Yu Koh
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - John D Eicher
- Division of Intramural Research, Population Sciences Branch, National Heart, Lung and Blood Institute, Framingham, MA, USA
| | - Sylvane Desrivières
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alejandro Arias-Vasquez
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Ganesh Chauhan
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, Bordeaux, France
- Centre for Brain Research, Indian Institute of Science, Bangalore, India
| | - Lavinia Athanasiu
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Miguel E Rentería
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Sungeun Kim
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - David Hoehn
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Nicola J Armstrong
- Mathematics and Statistics, Murdoch University, Perth, Western Australia, Australia
| | - Qiang Chen
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Avram J Holmes
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Anouk den Braber
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, VU Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | | | - Micael Andersson
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Umeå Centre for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Thomas Espeseth
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Oliver Grimm
- Central Institute of Mental Health, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Lucija Abramovic
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Saud Alhusaini
- The Royal College of Surgeons in Ireland, Dublin, Ireland
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Martina Papmeyer
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
- Division of Systems Neuroscience of Psychopathology, Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Tomas Axelsson
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Stefan Ehrlich
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Roberto Roiz-Santiañez
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- Department of Medicine, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Bernd Kraemer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Asta K Håberg
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Hannah J Jones
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - G Bruce Pike
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Cape Town, South Africa
| | - Allison Stevens
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Irina Filippi
- INSERM, Research Unit 1000 'Neuroimaging and Psychiatry', Paris Saclay University and Paris Descartes University-DIGITEO Labs, Gif sur Yvette, France
| | - A Veronica Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - Tulio Guadalupe
- International Max Planck Research School for Language Sciences, Nijmegen, the Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Katharina Wittfeld
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases, Greifswald, Germany
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - James T Becker
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nhat Trung Doan
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Saskia P Hagenaars
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Yasaman Saba
- Research Unit-Genetic Epidemiology, Gottfried Schatz Research Centre for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | | | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Kwangsik Nho
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Nazanin Mirza-Schreiber
- Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Diane M Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David Ames
- Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, Victoria, Australia
- National Ageing Research Institute, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | | | - Phil H Lee
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Lurie Center for Autism, Massachusetts General Hospital, Harvard Medical School, Lexington, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Simon Lovestone
- Department of Psychiatry, University of Oxford, Oxford, UK
- NIHR Dementia Biomedical Research Unit, King's College London, London, UK
| | - Sudheer Giddaluru
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Stephanie Le Hellard
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Manuel Mattheisen
- Centre for integrated Sequencing, Aarhus University, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Marc M Bohlken
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Dalia Kasperaviciute
- UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| | - Lianne Schmaal
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia
| | - Stephen M Lawrie
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Ingrid Agartz
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
- Department of Research and Development, Diakonhjemmet Hospital, Oslo, Norway
| | - Esther Walton
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
- Department of Psychology, University of Bath, Bath, UK
| | - Diana Tordesillas-Gutierrez
- Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
- Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
| | | | - Jean Shin
- Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Jonathan C Ipser
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Louis N Vinke
- Center for Systems Neuroscience, Boston University, Boston, MA, USA
| | - Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Tianye Jia
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ralph Burkhardt
- LIFE: The Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Marieke Klein
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Fabrice Crivello
- Neurodegeneratives Diseases Institute, CNRS UMR 5293, Université de Bordeaux, Bordeaux, France
| | - Deborah Janowitz
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
| | | | - Unn K Haukvik
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Adult Psychiatry, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Benjamin S Aribisala
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Department of Computer Science, Lagos State University, Ojo, Nigeria
| | - Helena Schmidt
- Research Unit-Genetic Epidemiology, Gottfried Schatz Research Centre for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - Lachlan T Strike
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Shannon L Risacher
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Benno Pütz
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Debra A Fleischman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Amelia A Assareh
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Venkata S Mattay
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Randy L Buckner
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Patrizia Mecocci
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, San Diego, CA, USA
- Department of Cognitive Sciences, University of California, San Diego, San Diego, CA, USA
- Department of Neurosciences, University of California. San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
- Department of Radiology, University of California, San Diego, San Diego, CA, USA
| | - Sven Cichon
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Institute for Neuroscience and Medicine: Structural and Functional Organisation of the Brain (INM-1), Research Centre Jülich, Jülich, Germany
| | - Marco P Boks
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Mar Matarin
- UCL Queen Square Institute of Neurology, London, UK
- Reta Lila Weston Institute, UCL Institute of Neurology, London, UK
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Vince D Calhoun
- Department of ECE, University of New Mexico, Albuquerque, NM, USA
- The Mind Research Network and LBERI, Albuquerque, NM, USA
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Atlanta, GA, USA
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Québec, Canada
- Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, Québec, Canada
| | - Andre F Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Christine Macare
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Shahrzad Kharabian Masouleh
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute for Neuroscience and Medicine: Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Jaap Oosterlaan
- Clinical Neuropsychology Section, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Emma Neuroscience Group, Department of Pediatrics, Emma Children's Hospital, Amsterdam Reproduction & Development, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Philippe Amouyel
- LabEx DISTALZ-U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille, Lille, France
- Inserm U1167, Lille, France
- Centre Hospitalier Universitaire Lille, Lille, France
- Institut Pasteur de Lille, Lille, France
| | - Katrin Hegenscheid
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Andrew J Schork
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Roskilde, Denmark
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - David C M Liewald
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Greig I de Zubicaray
- Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Medicine Research Institute, Duke-NUS Medical School, Singapore, Singapore
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Dementia Centre for Research Collaboration, UNSW, Sydney, New South Wales, Australia
| | - Joshua L Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Magda Tsolaki
- 1st Department of Neurology, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Susanne Erk
- Division of Mind and Brain Research, D, Corporate member of Freie Universität Berliepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Kristel R van Eijk
- Brain Center Rudolf Magnus, Human Neurogenetics Unit, UMC Utrecht, Utrecht, the Netherlands
| | - Gianpiero L Cavalleri
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Nic J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands
- Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, the Netherlands
| | - Andrew M McIntosh
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Randy L Gollub
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kazima B Bulayeva
- Department of Evolution and Genetics, Dagestan State University, Makhachkala, Russia
| | - Manon Bernard
- Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Jennifer S Richards
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands
| | - Jayandra J Himali
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE: The Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Nanda Rommelse
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, the Netherlands
| | - Wolfgang Hoffmann
- German Center for Neurodegenerative Diseases, Greifswald, Germany
- Section Epidemiology of Health Care and Community Health, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Lars T Westlye
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Maria C Valdés Hernández
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Narelle K Hansell
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA
| | - Christiane Wolf
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany
| | - John B J Kwok
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- University of New South Wales, Sydney, New South Wales, Australia
| | - Bruno Vellas
- Department of Internal Medicine, INSERM U 1027, University of Toulouse, Toulouse, France
- Department of Geriatric Medicine, INSERM U 1027, University of Toulouse, Toulouse, France
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Norman Delanty
- The Royal College of Surgeons in Ireland, Dublin, Ireland
- Neurology Division, Beaumont Hospital, Dublin, Ireland
| | - Beng-Choon Ho
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Christopher R K Ching
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Interdepartmental Neuroscience Graduate Program, UCLA School of Medicine, Los Angeles, CA, USA
| | - Elena Shumskaya
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Baljeet Singh
- Imaging of Dementia and Aging Laboratory, Department of Neurology, University of California, Davis, Davis, CA, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dennis van der Meer
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Kaiser Permanent Washington Health Research Institute, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
| | - Mark E Bastin
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Tatiana M Foroud
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Simone Reppermund
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW Medicine, Sydney, New South Wales, Australia
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Andrew Simmons
- Biomedical Research Unit for Dementia, King's College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, King's College London, London, UK
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Andreas Meyer-Lindenberg
- Central Institute of Mental Health, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Wiepke Cahn
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Christopher D Whelan
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- The Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Marjolein M J van Donkelaar
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Robert C Green
- Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Sebastian Mohnke
- Division of Mind and Brain Research, D, Corporate member of Freie Universität Berliepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Hilleke E Hulshoff Pol
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Honghuang Lin
- The Framingham Heart Study, Framingham, MA, USA
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, UNSW, Sydney, New South Wales, Australia
| | - Thomas W Mühleisen
- Institute for Neuroscience and Medicine: Structural and Functional Organisation of the Brain (INM-1), Research Centre Jülich, Jülich, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Cécile and Oskar Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Pauline Maillard
- Imaging of Dementia and Aging Laboratory, Department of Neurology, University of California, Davis, Davis, CA, USA
| | - Steven G Potkin
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Evan Fletcher
- Imaging of Dementia and Aging Laboratory, Department of Neurology, University of California, Davis, Davis, CA, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Matthew Huentelman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Lars Nyberg
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Umeå Centre for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
- Radiation Sciences, Umeå University, Umeå, Sweden
| | - Erik G Jönsson
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Benedicto Crespo-Facorro
- Department of Medicine, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Nastassja Koen
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Cape Town, South Africa
| | - Douglas N Greve
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Vidar M Steen
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Iryna O Fedko
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Nynke A Groenewold
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Wiro J Niessen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Medical Informatics, Erasmus MC, Rotterdam, the Netherlands
- Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands
| | | | | | - William T Longstreth
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - Jordan W Smoller
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Marie-Jose van Tol
- Cognitive Neuroscience Center, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Jessika E Sussmann
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Hervé Lemaître
- INSERM, Research Unit 1000 'Neuroimaging and Psychiatry', Paris Saclay University and Paris Descartes University-DIGITEO Labs, Gif sur Yvette, France
| | - Matthias L Schroeter
- LIFE: The Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University Clinic Leipzig, Leipzig, Germany
| | - Bernard Mazoyer
- Neurodegeneratives Diseases Institute, CNRS UMR 5293, Université de Bordeaux, Bordeaux, France
| | - Ole A Andreassen
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Florian Holsboer
- Max Planck Institute of Psychiatry, Munich, Germany
- HMNC Brain Health, Munich, Germany
| | - Chantal Depondt
- Department of Neurology, Hopital Erasme, Universite Libre de Bruxelles, Brussels, Belgium
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Jessica A Turner
- The Mind Research Network and LBERI, Albuquerque, NM, USA
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Atlanta, GA, USA
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Zdenka Pausova
- Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Gunter Schumann
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daan van Rooij
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands
| | - Srdjan Djurovic
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Ian J Deary
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Katie L McMahon
- Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Bertram Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Rachel M Brouwer
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Hilkka Soininen
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
- Neurocentre Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Massimo Pandolfo
- Department of Neurology, Hopital Erasme, Universite Libre de Bruxelles, Brussels, Belgium
| | - Thomas H Wassink
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Joshua W Cheung
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Thomas Wolfers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Jean-Luc Martinot
- INSERM, Research Unit 1000 'Neuroimaging and Psychiatry', Paris Saclay University and Paris Descartes University-DIGITEO Labs, Gif sur Yvette, France
| | - Marcel P Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (partner site Greifswald), Greifswald, Germany
| | - Ingrid Melle
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ryota Kanai
- Department of Neuroinformatics, Araya, Tokyo, Japan
- Institute of Cognitive Neuroscience, University College London, London, UK
- School of Psychology, University of Sussex, Brighton, UK
| | - Eric Westman
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - René S Kahn
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sanjay M Sisodiya
- UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| | - Tonya White
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Arvin Saremi
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Hans van Bokhoven
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Han G Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht, the Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (partner site Greifswald), Greifswald, Germany
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia
| | - Dennis van 't Ent
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - Roel A Ophoff
- Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, the Netherlands
| | - Guillén Fernández
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Marcella Rietschel
- Central Institute of Mental Health, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Neeltje E M van Haren
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Simon E Fisher
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Alexa S Beiser
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Clyde Francks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Andrew J Saykin
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Nina Romanczuk-Seiferth
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Catharina A Hartman
- University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands
| | - Anita L DeStefano
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Dirk J Heslenfeld
- Department of Psychology, VU University Amsterdam, Amsterdam, the Netherlands
| | - Michael W Weiner
- Center for Imaging of Neurodegenerative Disease, San Francisco VA Medical Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Henrik Walter
- Division of Mind and Brain Research, D, Corporate member of Freie Universität Berliepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Pieter J Hoekstra
- University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands
| | - Paul A Nyquist
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Hans J Grabe
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases, Greifswald, Germany
| | - Andrew D Johnson
- Division of Intramural Research, Population Sciences Branch, National Heart, Lung and Blood Institute, Framingham, MA, USA
| | - Christopher Chen
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Oscar L Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Myriam Fornage
- The Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joanna M Wardlaw
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Charles DeCarli
- Department of Neurology, Center for Neuroscience, University of California, Davis, Sacramento, CA, USA
| | - Philip L De Jager
- Cell Circuits Program, Broad Institute, Cambridge, MA, USA
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - Stéphanie Debette
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, Bordeaux, France
- Department of Neurology, CHU de Bordeaux, Bordeaux, France
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Joshua M Shulman
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Paul M Thompson
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands.
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands.
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69
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Ehrenberg AJ, Suemoto CK, França Resende EDP, Petersen C, Leite REP, Rodriguez RD, Ferretti-Rebustini REDL, You M, Oh J, Nitrini R, Pasqualucci CA, Jacob-Filho W, Kramer JH, Gatchel JR, Grinberg LT. Neuropathologic Correlates of Psychiatric Symptoms in Alzheimer's Disease. J Alzheimers Dis 2019; 66:115-126. [PMID: 30223398 DOI: 10.3233/jad-180688] [Citation(s) in RCA: 124] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Clarifying the relationships between neuropsychiatric symptoms and Alzheimer's disease (AD)-related pathology may open avenues for effective treatments. Here, we investigate the odds of developing neuropsychiatric symptoms across increasing burdens of neurofibrillary tangle and amyloid-β pathology. Participants who passed away between 2004 and 2014 underwent comprehensive neuropathologic evaluation at the Biobank for Aging Studies from the Faculty of Medicine at the University of São Paulo. Postmortem interviews with reliable informants were used to collect information regarding neuropsychiatric and cognitive status. Of 1,092 cases collected, those with any non-Alzheimer pathology were excluded, bringing the cohort to 455 cases. Braak staging was used to evaluate neurofibrillary tangle burden, and the CERAD neuropathology score was used to evaluate amyloid-β burden. The 12-item neuropsychiatric inventory was used to evaluate neuropsychiatric symptoms and CDR-SOB score was used to evaluate dementia status. In Braak I/II, significantly increased odds were detected for agitation, anxiety, appetite changes, depression, and sleep disturbances, compared to controls. Increased odds of agitation continue into Braak III/IV. Braak V/VI is associated with higher odds for delusions. No increased odds for neuropsychiatric symptoms were found to correlate with amyloid-β pathology. Increased odds of neuropsychiatric symptoms are associated with early neurofibrillary tangle pathology, suggesting that subcortical neurofibrillary tangle accumulation with minimal cortical pathology is sufficient to impact quality of life and that neuropsychiatric symptoms are a manifestation of AD biological processes.
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Affiliation(s)
- Alexander J Ehrenberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | | | - Elisa de Paula França Resende
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Cathrine Petersen
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | - Michelle You
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Jun Oh
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | - Joel H Kramer
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | | | - Lea T Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.,University of São Paulo Medical School, São Paulo, Brazil.,Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
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70
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Betts MJ, Kirilina E, Otaduy MCG, Ivanov D, Acosta-Cabronero J, Callaghan MF, Lambert C, Cardenas-Blanco A, Pine K, Passamonti L, Loane C, Keuken MC, Trujillo P, Lüsebrink F, Mattern H, Liu KY, Priovoulos N, Fliessbach K, Dahl MJ, Maaß A, Madelung CF, Meder D, Ehrenberg AJ, Speck O, Weiskopf N, Dolan R, Inglis B, Tosun D, Morawski M, Zucca FA, Siebner HR, Mather M, Uludag K, Heinsen H, Poser BA, Howard R, Zecca L, Rowe JB, Grinberg LT, Jacobs HIL, Düzel E, Hämmerer D. Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases. Brain 2019; 142:2558-2571. [PMID: 31327002 PMCID: PMC6736046 DOI: 10.1093/brain/awz193] [Citation(s) in RCA: 189] [Impact Index Per Article: 37.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 04/12/2019] [Accepted: 05/01/2019] [Indexed: 12/20/2022] Open
Abstract
Pathological alterations to the locus coeruleus, the major source of noradrenaline in the brain, are histologically evident in early stages of neurodegenerative diseases. Novel MRI approaches now provide an opportunity to quantify structural features of the locus coeruleus in vivo during disease progression. In combination with neuropathological biomarkers, in vivo locus coeruleus imaging could help to understand the contribution of locus coeruleus neurodegeneration to clinical and pathological manifestations in Alzheimer's disease, atypical neurodegenerative dementias and Parkinson's disease. Moreover, as the functional sensitivity of the noradrenergic system is likely to change with disease progression, in vivo measures of locus coeruleus integrity could provide new pathophysiological insights into cognitive and behavioural symptoms. Locus coeruleus imaging also holds the promise to stratify patients into clinical trials according to noradrenergic dysfunction. In this article, we present a consensus on how non-invasive in vivo assessment of locus coeruleus integrity can be used for clinical research in neurodegenerative diseases. We outline the next steps for in vivo, post-mortem and clinical studies that can lay the groundwork to evaluate the potential of locus coeruleus imaging as a biomarker for neurodegenerative diseases.
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Affiliation(s)
- Matthew J Betts
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Evgeniya Kirilina
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Center for Cognitive Neuroscience, Free University Berlin, Berlin, Germany
| | - Maria C G Otaduy
- Laboratory of Magnetic Resonance LIM44, Department and Institute of Radiology, Medical School of the University of São Paulo, Brazil
| | - Dimo Ivanov
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, MD, Maastricht, The Netherlands
| | | | - Martina F Callaghan
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
| | - Christian Lambert
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
| | - Arturo Cardenas-Blanco
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Kerrin Pine
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
| | - Luca Passamonti
- Department of Clinical Neurosciences, University of Cambridge, UK
- Consiglio Nazionale delle Ricerche, Istituto di Bioimmagini e Fisiologia Molecolare (IBFM), Milan, Italy
| | - Clare Loane
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Max C Keuken
- University of Amsterdam, Integrative Model-based Cognitive Neuroscience research unit, Amsterdam, The Netherlands
- University of Leiden, Cognitive Psychology, Leiden, The Netherlands
| | - Paula Trujillo
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Falk Lüsebrink
- Department of Biomedical Magnetic Resonance, Institute for Physics, Otto-von-Guericke-University, Magdeburg, Germany
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Hendrik Mattern
- Department of Biomedical Magnetic Resonance, Institute for Physics, Otto-von-Guericke-University, Magdeburg, Germany
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Nikos Priovoulos
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Klaus Fliessbach
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Martin J Dahl
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Anne Maaß
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Christopher F Madelung
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark
| | - David Meder
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark
| | - Alexander J Ehrenberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Oliver Speck
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Department of Biomedical Magnetic Resonance, Institute for Physics, Otto-von-Guericke-University, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
| | - Raymond Dolan
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
- Max Planck Centre for Computational Psychiatry and Ageing, University College London, UK
| | - Ben Inglis
- Henry H. Wheeler, Jr. Brain Imaging Center, University of California, Berkeley, CA, USA
| | - Duygu Tosun
- Department of Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, USA
| | - Markus Morawski
- Paul Flechsig Institute of Brain Research, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Fabio A Zucca
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, Milan, Italy
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark
| | - Mara Mather
- Leonard Davis School of Gerontology and Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Kamil Uludag
- Centre for Neuroscience Imaging Research, Institute for Basic Science and Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
- Techna Institute and Koerner Scientist in MR Imaging, University Health Network, Toronto, Canada
| | - Helmut Heinsen
- University of São Paulo Medical School, São Paulo, Brazil
- Clinic of Psychiatry, University of Würzburg, Wurzburg, Germany
| | - Benedikt A Poser
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, MD, Maastricht, The Netherlands
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK
| | - Luigi Zecca
- Institute of Biomedical Technologies, National Research Council of Italy, Segrate, Milan, Italy
- Department of Psychiatry, Columbia University Medical Center, New York State Psychiatric Institute, New York, USA
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, UK
| | - Lea T Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- University of São Paulo Medical School, São Paulo, Brazil
- Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Heidi I L Jacobs
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, MD, Maastricht, The Netherlands
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
- Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, The Netherlands
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Dorothea Hämmerer
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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71
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Oh J, Eser RA, Ehrenberg AJ, Morales D, Petersen C, Kudlacek J, Dunlop SR, Theofilas P, Resende EDPF, Cosme C, Alho EJL, Spina S, Walsh CM, Miller BL, Seeley WW, Bittencourt JC, Neylan TC, Heinsen H, Grinberg LT. Profound degeneration of wake-promoting neurons in Alzheimer's disease. Alzheimers Dement 2019; 15:1253-1263. [PMID: 31416793 DOI: 10.1016/j.jalz.2019.06.3916] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 05/10/2019] [Accepted: 06/10/2019] [Indexed: 12/20/2022]
Abstract
INTRODUCTION Sleep-wake disturbances are a common and early feature in Alzheimer's disease (AD). The impact of early tau pathology in wake-promoting neurons (WPNs) remains unclear. METHODS We performed stereology in postmortem brains from AD individuals and healthy controls to identify quantitative differences in morphological metrics in WPNs. Progressive supranuclear palsy (PSP) and corticobasal degeneration were included as disease-specific controls. RESULTS The three nuclei studied accumulate considerable amounts of tau inclusions and showed a decrease in neurotransmitter-synthetizing neurons in AD, PSP, and corticobasal degeneration. However, substantial neuronal loss was exclusively found in AD. DISCUSSION WPNs are extremely vulnerable to AD but not to 4 repeat tauopathies. Considering that WPNs are involved early in AD, such degeneration should be included in the models explaining sleep-wake disturbances in AD and considered when designing a clinical intervention. Sparing of WPNs in PSP, a condition featuring hyperinsomnia, suggest that interventions to suppress the arousal system may benefit patients with PSP.
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Affiliation(s)
- Jun Oh
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Rana A Eser
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Alexander J Ehrenberg
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA; Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Dulce Morales
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Cathrine Petersen
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Jessica Kudlacek
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Sara R Dunlop
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Department of Neurology, Northwestern University, Chicago, IL, USA
| | - Panos Theofilas
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Elisa D P F Resende
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Celica Cosme
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Eduardo J L Alho
- Department of Neurology, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Salvatore Spina
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Christine M Walsh
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA
| | - William W Seeley
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Jackson C Bittencourt
- Department of Anatomy, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil; Center for Neuroscience and Behavior, Institute of Psychology, University of Sao Paulo, Sao Paulo, Brazil
| | - Thomas C Neylan
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
| | - Helmut Heinsen
- Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil; Department of Psychiatry, University of Wuerzburg, Wuerzburg, Germany
| | - Lea T Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, USA; Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil; Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
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72
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Kovacs GG. Molecular pathology of neurodegenerative diseases: principles and practice. J Clin Pathol 2019; 72:725-735. [PMID: 31395625 DOI: 10.1136/jclinpath-2019-205952] [Citation(s) in RCA: 106] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 07/25/2019] [Accepted: 07/26/2019] [Indexed: 12/12/2022]
Abstract
Neurodegenerative diseases are characterised by selective dysfunction and progressive loss of synapses and neurons associated with pathologically altered proteins that deposit primarily in the human brain and spinal cord. Recent discoveries have identified a spectrum of distinct immunohistochemically and biochemically detectable proteins, which serve as a basis for protein-based disease classification. Diagnostic criteria have been updated and disease staging procedures have been proposed. These are based on novel concepts which recognise that (1) most of these proteins follow a sequential distribution pattern in the brain suggesting a seeding mechanism and cell-to-cell propagation; (2) some of the neurodegeneration-associated proteins can be detected in peripheral organs; and (3) concomitant presence of neurodegeneration-associated proteins is more the rule than the exception. These concepts, together with the fact that the clinical symptoms do not unequivocally reflect the molecular pathological background, place the neuropathological examination at the centre of requirements for an accurate diagnosis. The need for quality control in biomarker development, clinical and neuroimaging studies, and evaluation of therapy trials, as well as an increasing demand for the general public to better understand human brain disorders, underlines the importance for a renaissance of postmortem neuropathological studies at this time. This review summarises recent advances in neuropathological diagnosis and reports novel aspects of relevance for general pathological practice.
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Affiliation(s)
- Gabor G Kovacs
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada
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73
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Gaudreault R, Mousseau N. Mitigating Alzheimer’s Disease with Natural Polyphenols: A Review. Curr Alzheimer Res 2019; 16:529-543. [DOI: 10.2174/1567205016666190315093520] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 02/14/2019] [Accepted: 03/13/2019] [Indexed: 11/22/2022]
Abstract
:According to Alzheimer’s Disease International (ADI), nearly 50 million people worldwide were living with dementia in 2017, and this number is expected to triple by 2050. Despite years of research in this field, the root cause and mechanisms responsible for Alzheimer’s disease (AD) have not been fully elucidated yet. Moreover, promising preclinical results have repeatedly failed to translate into patient treatments. Until now, none of the molecules targeting AD has successfully passed the Phase III trial. Although natural molecules have been extensively studied, they normally require high concentrations to be effective; alternately, they are too large to cross the blood-brain barrier (BBB).:In this review, we report AD treatment strategies, with a virtually exclusive focus on green chemistry (natural phenolic molecules). These include therapeutic strategies for decreasing amyloid-β (Aβ) production, preventing and/or altering Aβ aggregation, and reducing oligomers cytotoxicity such as curcumin, (-)-epigallocatechin-3-gallate (EGCG), morin, resveratrol, tannic acid, and other natural green molecules. We also examine whether consideration should be given to potential candidates used outside of medicine and nutrition, through a discussion of two intermediate-sized green molecules, with very similar molecular structures and key properties, which exhibit potential in mitigating Alzheimer’s disease.
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Affiliation(s)
- Roger Gaudreault
- Department of Physics, Universit�© de Montr�©al, Case Postale 6128, Succursale Centre-ville, Montreal (QC), Canada
| | - Normand Mousseau
- Department of Physics, Universit�© de Montr�©al, Case Postale 6128, Succursale Centre-ville, Montreal (QC), Canada
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74
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Ghosh A, Torraville SE, Mukherjee B, Walling SG, Martin GM, Harley CW, Yuan Q. An experimental model of Braak's pretangle proposal for the origin of Alzheimer's disease: the role of locus coeruleus in early symptom development. ALZHEIMERS RESEARCH & THERAPY 2019; 11:59. [PMID: 31266535 PMCID: PMC6607586 DOI: 10.1186/s13195-019-0511-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 06/06/2019] [Indexed: 12/22/2022]
Abstract
Background The earliest brain pathology related to Alzheimer’s disease (AD) is hyperphosphorylated soluble tau in the noradrenergic locus coeruleus (LC) neurons. Braak characterizes five pretangle tau stages preceding AD tangles. Pretangles begin in young humans and persist in the LC while spreading from there to other neuromodulatory neurons and, later, to the cortex. While LC pretangles appear in all by age 40, they do not necessarily result in AD prior to death. However, with age and pretangle spread, more individuals progress to AD stages. LC neurons are lost late, at Braak stages III–IV, when memory deficits appear. It is not clear if LC hyperphosphorylated tau generates the pathology and cognitive changes associated with preclinical AD. We use a rat model expressing pseudohyperphosphorylated human tau in LC to investigate the hypothesis that LC pretangles generate preclinical Alzheimer pathology. Methods We infused an adeno-associated viral vector carrying a human tau gene pseudophosphorylated at 14 sites common in LC pretangles into 2–3- or 14–16-month TH-Cre rats. We used odor discrimination to probe LC dysfunction, and we evaluated LC cell and fiber loss. Results Abnormal human tau was expressed in LC and exhibited somatodendritic mislocalization. In rats infused at 2–3 months old, 4 months post-infusion abnormal LC tau had transferred to the serotonergic raphe neurons. After 7 months, difficult similar odor discrimination learning was impaired. Impairment was associated with reduced LC axonal density in the olfactory cortex and upregulated β1-adrenoceptors. LC infusions in 14–16-month-old rats resulted in more severe outcomes. By 5–6 months post-infusion, rats were impaired even in simple odor discrimination learning. LC neuron number was reduced. Human tau appeared in the microglia and cortical neurons. Conclusions Our animal model suggests, for the first time, that Braak’s hypothesis that human AD originates with pretangle stages is plausible. LC pretangle progression here generates both preclinical AD pathological changes and cognitive decline. The odor discrimination deficits are similar to human odor identification deficits seen with aging and preclinical AD. When initiated in aged rats, pretangle stages progress rapidly and cause LC cell loss. These age-related outcomes are associated with a severe learning impairment consistent with memory decline in Braak stages III–IV. Electronic supplementary material The online version of this article (10.1186/s13195-019-0511-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Abhinaba Ghosh
- Division of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada
| | - Sarah E Torraville
- Division of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada.,Department of Psychology, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, A1B 3X9, Canada
| | - Bandhan Mukherjee
- Division of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada
| | - Susan G Walling
- Department of Psychology, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, A1B 3X9, Canada
| | - Gerard M Martin
- Department of Psychology, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, A1B 3X9, Canada
| | - Carolyn W Harley
- Department of Psychology, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, A1B 3X9, Canada.
| | - Qi Yuan
- Division of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1B 3V6, Canada.
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75
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Eser RA, Ehrenberg AJ, Petersen C, Dunlop S, Mejia MB, Suemoto CK, Walsh CM, Rajana H, Oh J, Theofilas P, Seeley WW, Miller BL, Neylan TC, Heinsen H, Grinberg LT. Selective Vulnerability of Brainstem Nuclei in Distinct Tauopathies: A Postmortem Study. J Neuropathol Exp Neurol 2019; 77:149-161. [PMID: 29304218 DOI: 10.1093/jnen/nlx113] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The brainstem nuclei of the reticular formation (RF) are critical for regulating homeostasis, behavior, and cognition. RF degenerates in tauopathies including Alzheimer disease (AD), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBD). Although the burden of phopho-tau inclusion is high across these diseases, suggesting a similar vulnerability pattern, a distinct RF-associated clinical phenotype in these diseases indicates the opposite. To compare patterns of RF selective vulnerability to tauopathies, we analyzed 5 RF nuclei in tissue from 14 AD, 14 CBD, 10 PSP, and 3 control cases. Multidimensional quantitative analysis unraveled discernable differences on how these nuclei are vulnerable to AD, CBD, and PSP. For instance, PSP and CBD accrued more tau inclusions than AD in locus coeruleus, suggesting a lower vulnerability to AD. However, locus coeruleus neuronal loss in AD was so extreme that few neurons remained to develop aggregates. Likewise, tau burden in gigantocellular nucleus was low in AD and high in PSP, but few GABAergic neurons were present in AD. This challenges the hypothesis that gigantocellular nucleus neuronal loss underlies REM behavioral disorders because REM behavioral disorders rarely manifests in AD. This study provides foundation for characterizing the clinical consequences of RF degeneration in tauopathies and guiding customized treatment.
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Affiliation(s)
- Rana A Eser
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Alexander J Ehrenberg
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Cathrine Petersen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Sara Dunlop
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Maria B Mejia
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Claudia K Suemoto
- Brazilian Aging Brain Study Group, LIM-22, Department of Pathology.,Division of Geriatrics, Department of Clinical Medicine, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Christine M Walsh
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Hima Rajana
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Jun Oh
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Panos Theofilas
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - William W Seeley
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California.,Department of Pathology, University of California, San Francisco, San Francisco, California
| | - Bruce L Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California
| | - Thomas C Neylan
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California.,Department of Psychiatry, University of California, San Francisco and San Francisco VA Medical Center, San Francisco, California
| | - Helmut Heinsen
- LIM-44, University of Sao Paulo Medical School, Sao Paulo, Brazil and Clinic of Psychiatry, University of Würzburg, Wurzburg, Germany
| | - Lea T Grinberg
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, California.,Brazilian Aging Brain Study Group, LIM-22, Department of Pathology.,Department of Pathology, University of California, San Francisco, San Francisco, California
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76
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Zhu K, Wang X, Sun B, Wu J, Lu H, Zhang X, Liang H, Zhang D, Liu C. Primary Age-Related Tauopathy in Human Subcortical Nuclei. Front Neurosci 2019; 13:529. [PMID: 31191227 PMCID: PMC6549797 DOI: 10.3389/fnins.2019.00529] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 05/07/2019] [Indexed: 12/29/2022] Open
Abstract
The present study aimed to determine the spatial distribution patterns of hyperphosphorylated tau-immunoreactive cells in subcortical nuclei of post-mortem human brain with primary age-related tauopathy (PART). Subcortical tauopathy has important pathological and clinical implications. Expression of tau was examined in different subcortical regions of definite PART cases with a Braak neurofibrillary tangle stage >0 and ≤IV, and with a Thal phase 0 (no beta-amyloid present). Post-mortem brain tissue of PART was studied using immunohistochemistry and subsequent semi-quantitative assessment with Braak NFT stage -matched pre-Alzheimer’s disease (AD) and AD cases as a control. Expression of tau was frequently found in subcortical nuclei including the substantia nigra, inferior colliculus, locus coeruleus, medulla oblongata in the brainstem, the caudate, putamen, nucleus globus pallidus in the striatum, the hypothalamus, thalamus, subthalamus in the diencephalon, and the cervical spinal cord in both PART and AD, but not in the dentate nucleus of the cerebellum. A positive correlation was found between the Braak NFT stage and the tau distribution (qualitative)/tau density (quantitative) in PART and AD. Brainstem nuclei were commonly involved in early PART with NFT Braak stage I/II, there was no preference among the substantia nigra, inferior colliculus, locus caeruleus and medulla oblongata. The prevalence and severity of tau pathology in subcortical nuclei of PART and AD were positively correlated with NFT Braak stage, suggesting that these nuclei were increasingly involved as PART and AD progressed. Subcortical nuclei were likely the sites initially affected by aging associated tau pathology, especially the brainstem nuclei including the substantia nigra, inferior colliculus, locus caeruleus and medulla oblongata.
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Affiliation(s)
- Keqing Zhu
- China Brain Bank and Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, and Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou, China.,Department of Pathology, Zhejiang University School of Medicine, Hangzhou, China
| | - Xin Wang
- China Brain Bank and Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, and Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou, China.,Department of Pathology, Zhejiang University School of Medicine, Hangzhou, China
| | - Bing Sun
- China Brain Bank and Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, and Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou, China
| | - Juanli Wu
- China Brain Bank and Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, and Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Lu
- China Brain Bank and Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, and Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoling Zhang
- China Brain Bank and Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, and Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou, China
| | - Huazheng Liang
- Brain Structure and Function, Neuroscience Research Australia, Randwick, NSW, Australia.,Department of Neurology, Shanghai Fourth People's Hospital, Tongji University, Shanghai, China
| | - Dandan Zhang
- Department of Pathology, Zhejiang University School of Medicine, Hangzhou, China
| | - Chong Liu
- China Brain Bank and Department of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, and Department of Neurobiology, Zhejiang University School of Medicine, Hangzhou, China.,Department of Pathology, Zhejiang University School of Medicine, Hangzhou, China
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77
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Hennawy M, Sabovich S, Liu CS, Herrmann N, Lanctôt KL. Sleep and Attention in Alzheimer's Disease. THE YALE JOURNAL OF BIOLOGY AND MEDICINE 2019; 92:53-61. [PMID: 30923473 PMCID: PMC6430169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Individuals with Alzheimer's disease (AD) present with a wide variety of symptoms, including sleep disruption and sleep disorders. Conversely, disordered sleep has been associated with an increased risk of developing AD. Both conditions individually have adverse effects on attention, which can be further divided into selective, sustained, divided, and alternating attention. The neural mechanisms underpinning sleep problems in AD involve the disruption of the circadian system. This review comprehensively discusses the types of attention impairments, the relationship between AD pathology and sleep disruption, and the effect of sleep issues on attention in AD. Recommendations for future research include addressing the lack of consistency among study designs and outcomes, and the need to continue exploring the biology of sleep and attention in AD.
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Affiliation(s)
- Mirna Hennawy
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Solomon Sabovich
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Celina S. Liu
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada,Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Nathan Herrmann
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Krista L. Lanctôt
- Neuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada,Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada,Department of Psychiatry, University of Toronto, Toronto, ON, Canada,To whom all correspondence should be addressed: Krista L. Lanctôt, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Room FG08, Toronto, ON. M4N 3M5, Canada; Fax: 416-480-6022,
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78
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O'Sullivan S, Heinsen H, Grinberg LT, Chimelli L, Amaro E, do Nascimento Saldiva PH, Jeanquartier F, Jean-Quartier C, da Graça Morais Martin M, Sajid MI, Holzinger A. The role of artificial intelligence and machine learning in harmonization of high-resolution post-mortem MRI (virtopsy) with respect to brain microstructure. Brain Inform 2019; 6:3. [PMID: 30843118 PMCID: PMC6403267 DOI: 10.1186/s40708-019-0096-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 01/16/2019] [Indexed: 02/06/2023] Open
Abstract
Enhanced resolution of 7 T magnetic resonance imaging (MRI) scanners has considerably advanced our knowledge of structure and function in human and animal brains. Post-industrialized countries are particularly prone to an ever-increasing number of ageing individuals and ageing-associated neurodegenerative diseases. Neurodegenerative diseases are associated with volume loss in the affected brain. MRI diagnoses and monitoring of subtle volume changes in the ageing/diseased brains have the potential to become standard diagnostic tools. Even with the superior resolution of 7 T MRI scanners, the microstructural changes comprising cell types, cell numbers, and cellular processes, are still undetectable. Knowledge of origin, nature, and progression for microstructural changes are necessary to understand pathogenetic stages in the relentless neurodegenerative diseases, as well as to develop therapeutic tools that delay or stop neurodegenerative processes at their earliest stage. We illustrate the gap in resolution by comparing the identical regions of the post-mortem in situ 7 T MR images (virtual autopsy or virtopsy) with the histological observations in serial sections through the same brain. We also described the protocols and limitations associated with these comparisons, as well as the necessity of supercomputers and data management for "Big data". Analysis of neuron and/or glial number by using a body of mathematical tools and guidelines (stereology) is time-consuming, cumbersome, and still restricted to trained human investigators. Development of tools based on machine learning (ML) and artificial intelligence (AI) could considerably accelerate studies on localization, onset, and progression of neuron loss. Finally, these observations could disentangle the mechanisms of volume loss into stages of reversible atrophy and/or irreversible fatal cell death. This AI- and ML-based cooperation between virtopsy and histology could bridge the present gap between virtual reality and neuropathology. It could also culminate in the creation of an imaging-associated comprehensive database. This database would include genetic, clinical, epidemiological, and technical aspects that could help to alleviate or even stop the adverse effects of neurodegenerative diseases on affected individuals, their families, and society.
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Affiliation(s)
- Shane O'Sullivan
- Department of Pathology, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.
| | - Helmut Heinsen
- Department of Pathology, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.,Morphological Brain Research Unit, University of Würzburg, Würzburg, Germany.,Institute of Radiology, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil
| | - Lea Tenenholz Grinberg
- Morphological Brain Research Unit, University of Würzburg, Würzburg, Germany.,Aging Brain Project, Department of Pathology, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.,Albert Einstein Instituto Israelita de Ensino e Pesquisa, São Paulo, Brazil
| | - Leila Chimelli
- Laboratory of Neuropathology, State Institute of Brain, Rio de Janeiro, Brazil
| | - Edson Amaro
- Institute of Radiology, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil
| | - Paulo Hilário do Nascimento Saldiva
- Department of Pathology, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.,Institute of Advanced Studies, Universidade de Sao Paulo, São Paulo, Brazil
| | - Fleur Jeanquartier
- Holzinger Group, Institute for Medical Informatics and Statistics, Medical University of Graz, Graz, Austria
| | - Claire Jean-Quartier
- Holzinger Group, Institute for Medical Informatics and Statistics, Medical University of Graz, Graz, Austria
| | | | - Mohammed Imran Sajid
- Department of Upper GI Surgery, Wirral University Teaching Hospital, Birkenhead, United Kingdom
| | - Andreas Holzinger
- Holzinger Group, Institute for Medical Informatics and Statistics, Medical University of Graz, Graz, Austria
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79
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Alteration in sleep architecture and electroencephalogram as an early sign of Alzheimer's disease preceding the disease pathology and cognitive decline. Alzheimers Dement 2019; 15:590-597. [PMID: 30819626 DOI: 10.1016/j.jalz.2018.12.004] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 09/30/2018] [Accepted: 12/03/2018] [Indexed: 12/11/2022]
Abstract
OBJECTIVE The present work aims to evaluate the significance of sleep disturbance and electroencephalogram (EEG) alteration in the early stage of Alzheimer's disease (AD). BACKGROUND AND RATIONALE Sleep disturbance is common in patients with AD. It is not known if it can occur at the early stage of AD and if EEG recording may help identify the early sign of the disease. HISTORICAL EVOLUTION Sleep disturbance in AD has generally been considered as late consequence of the neurodegenerative process. A growing body of evidence has suggested that the sleep disturbance may occur at the early stage of AD. UPDATED HYPOTHESIS Based on the previous epidemiologic studies and our recent findings, we propose that sleep disturbance may play an important role in the development of AD. Sleep EEG changes may serve as a valuable early sign for AD in the prepathological stage. EARLY EXPERIMENTAL DATA Our data suggested that AβPPswe/PS1ΔE9 transgenic AD mice at preplaque stage (3 and 4 months of age) exhibited different profile of sleep architecture and sleep EEG, which preceded the cognitive deficit and AD neuropathology. FUTURE EXPERIMENTS AND VALIDATION STUDIES Future experiments should focus on sleep EEG changes in patients with mild cognitive impairment and early stage of AD. Follow-up studies in high-risk population of the elderly are equally important. In addition, the exact molecular mechanism underlying the sleep disturbance should be thoroughly investigated. MAJOR CHALLENGES FOR THE HYPOTHESIS Studies on human participants with early stage of AD, especially the follow-up studies on the presymptomatic elderly in a large population, are difficult and time-consuming. LINKAGE TO OTHER MAJOR THEORIES Our hypothesis may link previous theories to establish a bidirectional relationship between sleep disorders and AD, which may finally form a new schematic mechanism to understand the disease pathogenesis and disease progression.
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80
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Roles of tau pathology in the locus coeruleus (LC) in age-associated pathophysiology and Alzheimer’s disease pathogenesis: Potential strategies to protect the LC against aging. Brain Res 2019; 1702:17-28. [DOI: 10.1016/j.brainres.2017.12.027] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 11/21/2017] [Accepted: 12/19/2017] [Indexed: 12/11/2022]
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81
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Heinsen H, Grinberg LT. On the origin of tau seeding activity in Alzheimer's disease. Acta Neuropathol 2018; 136:815-817. [PMID: 30039213 DOI: 10.1007/s00401-018-1890-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 07/17/2018] [Accepted: 07/18/2018] [Indexed: 11/28/2022]
Affiliation(s)
- Helmut Heinsen
- LIM-44, University of Sao Paulo Medical School, Sao Paulo, Brazil
- Clinic of Psychiatry, University of Würzburg, Wurzburg, Germany
| | - Lea T Grinberg
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, USA.
- Brazilian Aging Brain Study Group, LIM-22, Department of Pathology, University of Sao Paulo Medical School, Sao Paulo, Brazil.
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA.
- Residence Memory and Aging Center, Department of Neurology and Pathology, Sandler Neurosciences Center, 675 Nelson Rising Lane, Room 211B, Box 1207, San Francisco, CA, 94158, USA.
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82
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Questions concerning the role of amyloid-β in the definition, aetiology and diagnosis of Alzheimer's disease. Acta Neuropathol 2018; 136:663-689. [PMID: 30349969 PMCID: PMC6208728 DOI: 10.1007/s00401-018-1918-8] [Citation(s) in RCA: 129] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 09/28/2018] [Accepted: 09/30/2018] [Indexed: 12/29/2022]
Abstract
The dominant hypothesis of Alzheimer’s disease (AD) aetiology, the neuropathological guidelines for diagnosing AD and the majority of high-profile therapeutic efforts, in both research and in clinical practice, have been built around one possible causal factor, amyloid-β (Aβ). However, the causal link between Aβ and AD remains unproven. Here, in the context of a detailed assessment of historical and contemporary studies, we raise critical questions regarding the role of Aβ in the definition, diagnosis and aetiology of AD. We illustrate that a holistic view of the available data does not support an unequivocal conclusion that Aβ has a central or unique role in AD. Instead, the data suggest alternative views of AD aetiology are potentially valid, at this time. We propose that an unbiased way forward for the field, beyond the current Aβ-centric approach, without excluding a role for Aβ, is required to come to an accurate understanding of AD dementia and, ultimately, an effective treatment.
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83
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Wirth KJ. Role of Noradrenergic Brain Nuclei in the Regulation of Carotid Artery Blood Flow: Pharmacological Evidence from Anesthetized Pigs with Alpha-2 Adrenergic Receptor Modulator Drugs. J Alzheimers Dis 2018; 66:407-419. [DOI: 10.3233/jad-180340] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Klaus J. Wirth
- Sanofi-Aventis Deutschland GmbH, R&D TA Immunology, Frankfurt am Main, Germany
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84
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Irwin K, Sexton C, Daniel T, Lawlor B, Naci L. Healthy Aging and Dementia: Two Roads Diverging in Midlife? Front Aging Neurosci 2018; 10:275. [PMID: 30283329 PMCID: PMC6156266 DOI: 10.3389/fnagi.2018.00275] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 08/27/2018] [Indexed: 11/13/2022] Open
Abstract
Dementia, particularly Alzheimer’s disease (AD), is a growing pandemic that presents profound challenges to healthcare systems, families, and societies throughout the world. By 2050, the number of people living with dementia worldwide could almost triple, from 47 to 132 million, with associated costs rising to $3 trillion. To reduce the future incidence of dementia, there is an immediate need for interventions that target the disease process from its earliest stages. Research programs are increasingly starting to focus on midlife as a critical period for the beginning of AD-related pathology, yet the indicators of the incipient disease process in asymptomatic individuals remain poorly understood. We address this important knowledge gap by examining evidence for cognitive and structural brain changes that may differentiate, from midlife, healthy aging and pathological AD-related processes. This review crystallizes emerging trends for divergence between the two and highlights current limitations and opportunities for future research in this area.
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Affiliation(s)
- Katie Irwin
- Department of Neuroscience, University of Georgia, Athens, GA, United States
| | - Claire Sexton
- Memory and Aging Center, Global Brain Health Institute, University of California, San Francisco, San Francisco, CA, United States.,Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Tarun Daniel
- Department of Neuroscience, University of Georgia, Athens, GA, United States
| | - Brian Lawlor
- Mercer's Institute for Successful Ageing, St. James's Hospital, Dublin, Ireland.,The Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Lorina Naci
- The Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.,School of Psychology, Trinity College Dublin, Dublin, Ireland
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85
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Betts MJ, Ehrenberg AJ, Hämmerer D, Düzel E. Commentary: Locus Coeruleus Ablation Exacerbates Cognitive Deficits, Neuropathology, and Lethality in P301S Tau Transgenic Mice. Front Neurosci 2018; 12:401. [PMID: 29928191 PMCID: PMC5997818 DOI: 10.3389/fnins.2018.00401] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 05/24/2018] [Indexed: 11/13/2022] Open
Affiliation(s)
- Matthew J Betts
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University Magdeburg, Magdeburg, Germany
| | - Alexander J Ehrenberg
- Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Dorothea Hämmerer
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neuroscience, University College London, London, United Kingdom.,The Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University Magdeburg, Magdeburg, Germany.,Institute of Cognitive Neuroscience, University College London, London, United Kingdom
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86
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Vakalopoulos C. Alzheimer's Disease: The Alternative Serotonergic Hypothesis of Cognitive Decline. J Alzheimers Dis 2018; 60:859-866. [PMID: 28984594 DOI: 10.3233/jad-170364] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The pathognomonic feature of Alzheimer's disease is a loss of declarative memory. This has generally been attributed to early involvement of medial temporal lobe structures with neurofibrillary tangles and loss of neurons in the entorhinal cortex. However, there has been a re-emerging emphasis on the causal role of brainstem monoaminergic nuclei as involvement of the cholinergic basal forebrain loses prominence. The rejection of this latter theory of cognitive decline is related to inconsistencies in time course and modest effects of treatment using cholinergic agents. The amyloid hypothesis of cortical dysfunction is also losing favor as current trials of plaque dissolution are proving again disappointing. Recent pre-clinical studies on APP/PS1 (familial Alzheimer's disease) transgenic mouse models using serotonergic receptor modulating agents, demonstrate clear neuroprotective effects. The involvement of midbrain raphe in the earliest stages of dementia requires a reassessment of relevant pathophysiology beyond behavioral and affective dimensions. Indeed, a theory of serotonergic modulation of explicit memory formation by direct enhancement of synaptic strength could change the view of the role of these nuclei in AD and lead to more effective treatments.
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87
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Singh G, Samavedham L, Lim ECH. Determination of Imaging Biomarkers to Decipher Disease Trajectories and Differential Diagnosis of Neurodegenerative Diseases (DIsease TreND). J Neurosci Methods 2018; 305:105-116. [PMID: 29800593 DOI: 10.1016/j.jneumeth.2018.05.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 01/30/2018] [Accepted: 05/14/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND Understanding disease progression of neurodegenerative diseases (NDs) is important for better prognosis and decisions on the appropriate course of treatment to slow down the disease progression. NEW METHOD We present here an innovative machine learning framework capable of (1) indicating the trajectory of disease progression by identifying relevant imaging biomarkers and (2) automated disease diagnosis. Self-Organizing Maps (SOM) have been used for data dimensionality reduction and to reveal potentially useful disease-specific biomarkers, regions of interest (ROIs). These ROIs have been used for automated disease diagnosis using Least Square Support Vector Machines (LS-SVM) and to delineate disease progression. RESULTS A multi-site, multi-scanner dataset containing 1316 MRIs was obtained from ADNI3 and PPMI. Identified biomarkers have been used to decipher (1) trajectory of disease progression and (2) identify clinically relevant ROIs. Furthermore, we have obtained a classification accuracy of 94.29 ± 0.08% and 95.37 ± 0.02% for distinguishing AD and PD from HC subjects respectively. COMPARISON WITH OTHER EXISTING METHODS The goal of this study was fundamentally different from other machine learning based studies for automated disease diagnosis. We aimed to develop a method that has two-fold benefits (1) It can be used to understand pathology of neurodegenerative diseases and (2) It also achieves automated disease diagnosis. CONCLUSIONS In the absence of established disease biomarkers, clinical diagnosis is heavily prone to misdiagnosis. Being clinically relevant and readily adaptable in the current clinical settings, the developed framework could be a stepping stone to make machine learning based Clinical Decision Support System (CDSS) for neurodegenerative disease diagnosis a reality.
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Affiliation(s)
- Gurpreet Singh
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore; Department of Radiology, Dalio Institute of Cardiovascular Imaging, NewYork-Presbyterian Hospital and the Weill Cornell Medicine, New York, United States.
| | - Lakshminarayanan Samavedham
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore; Residential College 4, 8 College Avenue West, #02-16W, Education Resource Centre, Singapore 138608, Singapore.
| | - Erle Chuen-Hian Lim
- Department of Neurology, National University Health System, National University of Singapore, Singapore.
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88
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Weinshenker D. Long Road to Ruin: Noradrenergic Dysfunction in Neurodegenerative Disease. Trends Neurosci 2018; 41:211-223. [PMID: 29475564 PMCID: PMC5878728 DOI: 10.1016/j.tins.2018.01.010] [Citation(s) in RCA: 184] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 01/25/2018] [Accepted: 01/29/2018] [Indexed: 01/09/2023]
Abstract
It has been known for decades that degeneration of the locus coeruleus (LC), the major noradrenergic nucleus in the brain, occurs in both Alzheimer's disease (AD) and Parkinson's disease (PD), but it was given scant attention. It is now recognized that hyperphosphorylated tau in the LC is the first detectable AD-like neuropathology in the human brain, α-synuclein inclusions in the LC represent an early step in PD, and experimental LC lesions exacerbate neuropathology and cognitive/behavioral deficits in animal models. The purpose of this review is to consider the causes and consequences of LC pathology, dysfunction, and degeneration, as well as their implications for early detection and treatment.
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Affiliation(s)
- David Weinshenker
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
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89
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Li Y, Li ZX, Jin T, Wang ZY, Zhao P. Tau Pathology Promotes the Reorganization of the Extracellular Matrix and Inhibits the Formation of Perineuronal Nets by Regulating the Expression and the Distribution of Hyaluronic Acid Synthases. J Alzheimers Dis 2018; 57:395-409. [PMID: 28234253 PMCID: PMC5366250 DOI: 10.3233/jad-160804] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Hyaluronic acid (HA) is the backbone of the extracellular matrix (ECM) and provides biochemical and physical support to aggrecan-based perineuronal nets (PNNs), which are associated with the selective vulnerability of neurons in Alzheimer's disease (AD). Here, we showed that HA synthases (HASs), including Has1, Has2, and Has3, were widely expressed in murine central nervous system. All types of HASs were localized to cell bodies of neurons; only Has1 existed in the membranes of neural axons. By using TauP301S transgenic (Tg) mouse model, we found that the axonal-localization of Has1 was abolished in TauP301S overexpressed mouse brain, and the redistribution of Has1 was also observed in human AD brains, suggesting that the localization of Has1 is dependent on intact microtubules which are regulated partially by the phosphorylation and dephosphorylation cycles of tau proteins. Furthermore, Has1 was reduced and Has3 was increased in TauP301S Tg mouse brain, resulting in the upregulation of shorter-chain HA in the ECM. These findings suggest that by abolishing the axonal-localization of Has1 and promoting the expression of Has3 and the synthesis of shorter-chain HA, the tau pathology breaks the balance of ECM components, promotes the reorganization of the ECM, and inhibits the formation of PNNs in the hippocampus, and then regulates neuronal plasticity during the progression of AD.
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Affiliation(s)
| | | | | | - Zhan-You Wang
- Correspondence to: Zhan-You Wang and Pu Zhao, M.D., Ph.D., College of Life and Health Sciences, Northeastern University, 3-11 Wen Hua Road, Shenyang 110819, China. Tel.: +86 13352453082; E-mails: (P. Zhao); (Z.-Y Wang)
| | - Pu Zhao
- Correspondence to: Zhan-You Wang and Pu Zhao, M.D., Ph.D., College of Life and Health Sciences, Northeastern University, 3-11 Wen Hua Road, Shenyang 110819, China. Tel.: +86 13352453082; E-mails: (P. Zhao); (Z.-Y Wang)
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90
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Lardenoije R, van den Hove DLA, Havermans M, van Casteren A, Le KX, Palmour R, Lemere CA, Rutten BPF. Age-related epigenetic changes in hippocampal subregions of four animal models of Alzheimer's disease. Mol Cell Neurosci 2018; 86:1-15. [PMID: 29113959 PMCID: PMC6863355 DOI: 10.1016/j.mcn.2017.11.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 10/18/2017] [Accepted: 11/02/2017] [Indexed: 12/20/2022] Open
Abstract
Both aging and Alzheimer's disease (AD) are associated with widespread epigenetic changes, with most evidence suggesting global hypomethylation in AD. It is, however, unclear how these age-related epigenetic changes are linked to molecular aberrations as expressed in animal models of AD. Here, we investigated age-related changes of epigenetic markers of DNA methylation and hydroxymethylation in a range of animal models of AD, and their correlations with amyloid plaque load. Three transgenic mouse models, including the J20, APP/PS1dE9 and 3xTg-AD models, as well as Caribbean vervets (a non-transgenic non-human primate model of AD) were investigated. In the J20 mouse model, an age-related decrease in DNA methylation was found in the dentate gyrus (DG) and a decrease in the ratio between DNA methylation and hydroxymethylation was found in the DG and cornu ammonis (CA) 3. In the 3xTg-AD mice, an age-related increase in DNA methylation was found in the DG and CA1-2. No significant age-related alterations were found in the APP/PS1dE9 mice and non-human primate model. In the J20 model, hippocampal plaque load showed a significant negative correlation with DNA methylation in the DG, and with the ratio a negative correlation in the DG and CA3. For the APP/PS1dE9 model a negative correlation between the ratio and plaque load was observed in the CA3, as well as a negative correlation between DNA methyltransferase 3A (DNMT3A) levels and plaque load in the DG and CA3. Thus, only the J20 model showed an age-related reduction in global DNA methylation, while DNA hypermethylation was observed in the 3xTg-AD model. Given these differences between animal models, future studies are needed to further elucidate the contribution of different AD-related genetic variation to age-related epigenetic changes.
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Affiliation(s)
- Roy Lardenoije
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, USA; School for Mental Health and Neuroscience (MHeNs), Department of Psychiatry and Neuropsychology, Maastricht University, The Netherlands
| | - Daniël L A van den Hove
- School for Mental Health and Neuroscience (MHeNs), Department of Psychiatry and Neuropsychology, Maastricht University, The Netherlands; Laboratory of Translational Neuroscience, Department of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Germany
| | - Monique Havermans
- School for Mental Health and Neuroscience (MHeNs), Department of Psychiatry and Neuropsychology, Maastricht University, The Netherlands
| | - Anne van Casteren
- School for Mental Health and Neuroscience (MHeNs), Department of Psychiatry and Neuropsychology, Maastricht University, The Netherlands
| | - Kevin X Le
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, USA
| | - Roberta Palmour
- Behavioral Science Foundation, Eastern Caribbean, Saint Kitts and Nevis; McGill University Faculty of Medicine, Montreal, Quebec, Canada
| | - Cynthia A Lemere
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, USA
| | - Bart P F Rutten
- School for Mental Health and Neuroscience (MHeNs), Department of Psychiatry and Neuropsychology, Maastricht University, The Netherlands.
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91
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Grinberg LT, Heinsen H. Light at the beginning of the tunnel? Investigating early mechanistic changes in Alzheimer’s disease. Brain 2017; 140:2770-2773. [DOI: 10.1093/brain/awx261] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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92
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Theofilas P, Ehrenberg AJ, Nguy A, Thackrey JM, Dunlop S, Mejia MB, Alho AT, Paraizo Leite RE, Rodriguez RD, Suemoto CK, Nascimento CF, Chin M, Medina-Cleghorn D, Cuervo AM, Arkin M, Seeley WW, Miller BL, Nitrini R, Pasqualucci CA, Filho WJ, Rueb U, Neuhaus J, Heinsen H, Grinberg LT. Probing the correlation of neuronal loss, neurofibrillary tangles, and cell death markers across the Alzheimer's disease Braak stages: a quantitative study in humans. Neurobiol Aging 2017; 61:1-12. [PMID: 29031088 DOI: 10.1016/j.neurobiolaging.2017.09.007] [Citation(s) in RCA: 78] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2016] [Revised: 09/08/2017] [Accepted: 09/08/2017] [Indexed: 12/30/2022]
Abstract
Clarifying the mechanisms connecting neurofibrillary tangle (NFT) neurotoxicity to neuronal dysfunction in humans is likely to be pivotal for developing effective treatments for Alzheimer's disease (AD). To model the temporal progression of AD in humans, we used a collection of brains with controls and individuals from each Braak stage to quantitatively investigate the correlation between intraneuronal caspase activation or macroautophagy markers, NFT burden, and neuronal loss, in the dorsal raphe nucleus and locus coeruleus, the earliest vulnerable areas to NFT accumulation. We fit linear regressions with each count as outcomes, with Braak score and age as the predictors. In progressive Braak stages, intraneuronal active caspase-6 positivity increases both alone and overlapping with NFTs. Likewise, the proportion of NFT-bearing neurons showing autophagosomes increases. Overall, caspases may be involved in upstream cascades in AD and are associated with higher NFTs. Macroautophagy changes correlate with increasing NFT burden from early AD stages.
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Affiliation(s)
- Panos Theofilas
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Alexander J Ehrenberg
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Austin Nguy
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Julia M Thackrey
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Sara Dunlop
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Maria B Mejia
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Ana T Alho
- Hospital Albert Einstein, São Paulo, Brazil; Department of Pathology, LIM-22, University of São Paulo Medical School, São Paulo, Brazil
| | | | | | - Claudia K Suemoto
- Division of Geriatrics, LIM-22, University of São Paulo Medical School, São Paulo, Brazil
| | - Camila F Nascimento
- Department of Pathology, LIM-22, University of São Paulo Medical School, São Paulo, Brazil
| | - Marcus Chin
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel Medina-Cleghorn
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
| | - Ana Maria Cuervo
- Departments of Developmental and Molecular Biology, Anatomy and Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Michelle Arkin
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Ricardo Nitrini
- Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil
| | | | - Wilson Jacob Filho
- Division of Geriatrics, LIM-22, University of São Paulo Medical School, São Paulo, Brazil
| | - Udo Rueb
- Dr. Senckenbergisches Chronomedizinisches Institut, Department of Anatomy, J. W. Goethe University Frankfurt am Main, Frankfurt, Germany
| | - John Neuhaus
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Helmut Heinsen
- Department of Pathology, LIM-22, University of São Paulo Medical School, São Paulo, Brazil; Department of Psychiatry, University of Wuerzburg, Wuerzburg, Germany
| | - Lea T Grinberg
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Department of Pathology, LIM-22, University of São Paulo Medical School, São Paulo, Brazil.
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93
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Rüb U, Stratmann K, Heinsen H, Seidel K, Bouzrou M, Korf HW. Alzheimer's Disease: Characterization of the Brain Sites of the Initial Tau Cytoskeletal Pathology Will Improve the Success of Novel Immunological Anti-Tau Treatment Approaches. J Alzheimers Dis 2017; 57:683-696. [PMID: 28269779 DOI: 10.3233/jad-161102] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD) represents the most frequent neurodegenerative disease of the human brain worldwide. Currently practiced treatment strategies for AD only include some less effective symptomatic therapeutic interventions, which unable to counteract the disease course of AD. New therapeutic attempts aimed to prevent, reduce, or remove the extracellular depositions of the amyloid-β protein did not elicit beneficial effects on cognitive deficits or functional decline of AD. In view of the failure of these amyloid-β-based therapeutic trials and the close correlation between the brain pathology of the cytoskeletal tau protein and clinical AD symptoms, therapeutic attention has since shifted to the tau cytoskeletal protein as a novel drug target. The abnormal hyperphosphorylation and intraneuronal aggregation of this protein are early events in the evolution of the AD-related neurofibrillary pathology, and the brain spread of the AD-related tau aggregation pathology may possibly follow a corruptive protein templating and seeding-like mechanism according to the prion hypothesis. Accordingly, immunotherapeutic targeting of the tau aggregation pathology during the very early pre-tangle phase is currently considered to represent an effective and promising therapeutic approach for AD. Recent studies have shown that the initial immunoreactive tau aggregation pathology already prevails in several subcortical regions in the absence of any cytoskeletal changes in the cerebral cortex. Thus, it may be hypothesized that the subcortical brain regions represent the "port of entry" for the pathogenetic agent from which the disease ascends anterogradely as an "interconnectivity pathology".
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Affiliation(s)
- Udo Rüb
- Dr. Senckenbergisches Chronomedizinisches Institut, Goethe-University, Frankfurt/Main, Germany
| | - Katharina Stratmann
- Dr. Senckenbergisches Chronomedizinisches Institut, Goethe-University, Frankfurt/Main, Germany
| | - Helmut Heinsen
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital Würzburg, Würzburg, Germany.,Department of Pathology, Ageing Brain Study Group, University of São Paulo Medical School, São Paulo, Brazil
| | - Kay Seidel
- Dr. Senckenbergisches Chronomedizinisches Institut, Goethe-University, Frankfurt/Main, Germany
| | - Mohamed Bouzrou
- Dr. Senckenbergisches Chronomedizinisches Institut, Goethe-University, Frankfurt/Main, Germany
| | - Horst-Werner Korf
- Dr. Senckenbergisches Chronomedizinisches Institut, Goethe-University, Frankfurt/Main, Germany
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94
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Jouanne M, Rault S, Voisin-Chiret AS. Tau protein aggregation in Alzheimer's disease: An attractive target for the development of novel therapeutic agents. Eur J Med Chem 2017; 139:153-167. [PMID: 28800454 DOI: 10.1016/j.ejmech.2017.07.070] [Citation(s) in RCA: 154] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 07/27/2017] [Accepted: 07/28/2017] [Indexed: 12/28/2022]
Abstract
Alzheimer's Disease (AD) is a neurodegenerative brain disorder in which many biological dysfunctions are involved. Among them, two main types of lesions were discovered and widely studied: the amyloid plaques and the neurofibrillary tangles (NFTs). These two lesions are caused by the dysfunction and the accumulation of two proteins which are, respectively, the beta-amyloid peptide and the tau protein. The process that leads these two proteins to aggregate is complex and is the subject of current studies. After a brief description of the aggregation mechanisms, we will provide an overview of new therapeutic agents targeting the different dysfunctions and toxic species found during aggregation.
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Affiliation(s)
- Marie Jouanne
- Université Caen Normandie, France; UNICAEN, CERMN - EA 4258, FR CNRS 3038 INC3M, SF 4206 ICORE, bd Becquerel, F-14032 Caen, France
| | - Sylvain Rault
- Université Caen Normandie, France; UNICAEN, CERMN - EA 4258, FR CNRS 3038 INC3M, SF 4206 ICORE, bd Becquerel, F-14032 Caen, France
| | - Anne-Sophie Voisin-Chiret
- Université Caen Normandie, France; UNICAEN, CERMN - EA 4258, FR CNRS 3038 INC3M, SF 4206 ICORE, bd Becquerel, F-14032 Caen, France.
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95
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Arendt T, Stieler J, Ueberham U. Is sporadic Alzheimer's disease a developmental disorder? J Neurochem 2017; 143:396-408. [PMID: 28397252 DOI: 10.1111/jnc.14036] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Revised: 03/29/2017] [Accepted: 04/06/2017] [Indexed: 11/26/2022]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder of higher age that specifically occurs in human. Its clinical phase, characterized by a decline in physiological, psychological, and social functioning, is preceded by a long clinically silent phase of at least several decades that might perhaps even start very early in life. Overall, key functional abilities in AD patients decline in reverse order of the development of these abilities during normal childhood and adolescence. Early symptoms of AD, thus, typically affect mental functions that have been acquired only during very recent hominid evolution and as such are specific to human. Neurofibrillar degeneration, a typical neuropathological lesion of the disease and one of the most robust pathological correlates of cognitive impairment, is rarely seen in non-primate mammals and even non-human primates hardly develop a pathology comparable to those seen in AD patients. Neurofibrillar degeneration is not randomly distributed throughout the AD brain. It preferentially affects brain areas that become increasingly predominant during the evolutionary process of encephalization. During progression of the disease, it affects cortical areas in a stereotypic sequence that inversely recapitulates ontogenetic brain development. The specific distribution of cortical pathology in AD, moreover, appears to be determined by the modular organization of the cerebral cortex which basically is a structural reflection of its ontogeny. Here, we summarize recent evidence that phylogenetic and ontogenetic dimensions of brain structure and function provide the key to our understanding of AD. More recent molecular biological studies of the potential pathogenetic role of a genomic mosaic in the brains of patients with AD might even provide arguments for a developmental origin of AD. This article is part of a series "Beyond Amyloid".
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Affiliation(s)
- Thomas Arendt
- Paul Flechsig Institute of Brain Research, Universität Leipzig, Leipzig, Germany
| | - Jens Stieler
- Paul Flechsig Institute of Brain Research, Universität Leipzig, Leipzig, Germany
| | - Uwe Ueberham
- Paul Flechsig Institute of Brain Research, Universität Leipzig, Leipzig, Germany
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96
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Kuznetsov IA, Kuznetsov AV. Simulating tubulin-associated unit transport in an axon: using bootstrapping for estimating confidence intervals of best-fit parameter values obtained from indirect experimental data. Proc Math Phys Eng Sci 2017; 473:20170045. [PMID: 28588409 DOI: 10.1098/rspa.2017.0045] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 04/03/2017] [Indexed: 02/06/2023] Open
Abstract
In this paper, we first develop a model of axonal transport of tubulin-associated unit (tau) protein. We determine the minimum number of parameters necessary to reproduce published experimental results, reducing the number of parameters from 18 in the full model to eight in the simplified model. We then address the following questions: Is it possible to estimate parameter values for this model using the very limited amount of published experimental data? Furthermore, is it possible to estimate confidence intervals for the determined parameters? The idea that is explored in this paper is based on using bootstrapping. Model parameters were estimated by minimizing the objective function that simulates the discrepancy between the model predictions and experimental data. Residuals were then identified by calculating the differences between the experimental data and model predictions. New, surrogate 'experimental' data were generated by randomly resampling residuals. By finding sets of best-fit parameters for a large number of surrogate data the histograms for the model parameters were produced. These histograms were then used to estimate confidence intervals for the model parameters, by using the percentile bootstrap. Once the model was calibrated, we applied it to analysing some features of tau transport that are not accessible to current experimental techniques.
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Affiliation(s)
- I A Kuznetsov
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - A V Kuznetsov
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695-7910, USA
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97
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Ehrenberg AJ, Nguy AK, Theofilas P, Dunlop S, Suemoto CK, Di Lorenzo Alho AT, Leite RP, Diehl Rodriguez R, Mejia MB, Rüb U, Farfel JM, de Lucena Ferretti-Rebustini RE, Nascimento CF, Nitrini R, Pasquallucci CA, Jacob-Filho W, Miller B, Seeley WW, Heinsen H, Grinberg LT. Quantifying the accretion of hyperphosphorylated tau in the locus coeruleus and dorsal raphe nucleus: the pathological building blocks of early Alzheimer's disease. Neuropathol Appl Neurobiol 2017; 43:393-408. [PMID: 28117917 DOI: 10.1111/nan.12387] [Citation(s) in RCA: 136] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Revised: 01/19/2017] [Accepted: 01/24/2017] [Indexed: 01/02/2023]
Abstract
AIMS Hyperphosphorylated tau neuronal cytoplasmic inclusions (ht-NCI) are the best protein correlate of clinical decline in Alzheimer's disease (AD). Qualitative evidence identifies ht-NCI accumulating in the isodendritic core before the entorhinal cortex. Here, we used unbiased stereology to quantify ht-NCI burden in the locus coeruleus (LC) and dorsal raphe nucleus (DRN), aiming to characterize the impact of AD pathology in these nuclei with a focus on early stages. METHODS We utilized unbiased stereology in a sample of 48 well-characterized subjects enriched for controls and early AD stages. ht-NCI counts were estimated in 60-μm-thick sections immunostained for p-tau throughout LC and DRN. Data were integrated with unbiased estimates of LC and DRN neuronal population for a subset of cases. RESULTS In Braak stage 0, 7.9% and 2.6% of neurons in LC and DRN, respectively, harbour ht-NCIs. Although the number of ht-NCI+ neurons significantly increased by about 1.9× between Braak stages 0 to I in LC (P = 0.02), we failed to detect any significant difference between Braak stage I and II. Also, the number of ht-NCI+ neurons remained stable in DRN between all stages 0 and II. Finally, the differential susceptibility to tau inclusions among nuclear subdivisions was more notable in LC than in DRN. CONCLUSIONS LC and DRN neurons exhibited ht-NCI during AD precortical stages. The ht-NCI increases along AD progression on both nuclei, but quantitative changes in LC precede DRN changes.
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Affiliation(s)
- A J Ehrenberg
- University of California, San Francisco, California, USA.,University of California, Berkeley, California, USA
| | - A K Nguy
- University of California, San Francisco, California, USA.,University of California, Berkeley, California, USA
| | - P Theofilas
- University of California, San Francisco, California, USA
| | - S Dunlop
- University of California, San Francisco, California, USA
| | - C K Suemoto
- University of São Paulo Medical School, São Paulo, Brazil
| | - A T Di Lorenzo Alho
- University of São Paulo Medical School, São Paulo, Brazil.,Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - R P Leite
- University of São Paulo Medical School, São Paulo, Brazil
| | | | - M B Mejia
- University of California, San Francisco, California, USA
| | - U Rüb
- University of Frankfurt, Frankfurt, Germany
| | - J M Farfel
- University of São Paulo Medical School, São Paulo, Brazil
| | | | - C F Nascimento
- University of São Paulo Medical School, São Paulo, Brazil
| | - R Nitrini
- University of São Paulo Medical School, São Paulo, Brazil
| | | | - W Jacob-Filho
- University of São Paulo Medical School, São Paulo, Brazil
| | - B Miller
- University of California, San Francisco, California, USA
| | - W W Seeley
- University of California, San Francisco, California, USA
| | - H Heinsen
- University of São Paulo Medical School, São Paulo, Brazil.,University of Wüerzburg, Wüerzburg, Germany
| | - L T Grinberg
- University of California, San Francisco, California, USA.,University of São Paulo Medical School, São Paulo, Brazil
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98
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Holth JK, Mahan TE, Robinson GO, Rocha A, Holtzman DM. Altered sleep and EEG power in the P301S Tau transgenic mouse model. Ann Clin Transl Neurol 2017; 4:180-190. [PMID: 28275652 PMCID: PMC5338139 DOI: 10.1002/acn3.390] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2016] [Revised: 12/21/2016] [Accepted: 12/27/2016] [Indexed: 11/16/2022] Open
Abstract
Objective Sleep disturbances are prevalent in human tauopathies yet despite the importance of sleep, little is known about its relationship with tau pathology. Here, we investigate this interaction by analyzing sleep and tau pathology throughout tauopathy disease progression in P301S human tau transgenic mice. Methods P301S and wild‐type mice were analyzed by electroencephalography (EEG)/electromyography at 3, 6, 9, and 11 months of age for sleep/wake time, EEG power, and homeostatic response. Cortical volume and tau pathology was also assessed by anti‐phospho‐tau AT8 staining. Results P301S tau mice had significantly decreased rapid eye movement (REM) sleep at 9 months of age and decreased REM and non‐REM (NREM) sleep as well as increased wakefulness at 11 months. Sleep loss was characterized by fewer wake, REM, and NREM bouts, increased wake bout duration, and decreased sleep bout duration. Decreased REM and NREM sleep was associated with increased brainstem tau pathology in the sublaterodorsal area and parafacial zone, respectively. P301S mice also showed increased EEG power at 6 and 9 months of age and decreased power at 11 months. Decreased EEG power was associated with decreased cortical volume. Despite sleep disturbances, P301S mice maintained homeostatic response to sleep deprivation. Interpretation Our results indicate that tau pathology is associated with sleep disturbances that worsen with age and these changes may be related to tau pathology in brainstem sleep regulating regions as well as neurodegeneration. Tau‐induced sleep changes could affect disease progression and be a marker for therapeutic efficacy in this and other tauopathy models.
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Affiliation(s)
- Jerrah K Holth
- Department of Neurology Hope Center for Neurological Disorders, and the Knight Alzheimer's Disease Research Center Washington University School of Medicine St. Louis Missouri 63110
| | - Thomas E Mahan
- Department of Neurology Hope Center for Neurological Disorders, and the Knight Alzheimer's Disease Research Center Washington University School of Medicine St. Louis Missouri 63110
| | - Grace O Robinson
- Department of Neurology Hope Center for Neurological Disorders, and the Knight Alzheimer's Disease Research Center Washington University School of Medicine St. Louis Missouri 63110
| | - Andreia Rocha
- Department of Neurology Hope Center for Neurological Disorders, and the Knight Alzheimer's Disease Research Center Washington University School of Medicine St. Louis Missouri 63110
| | - David M Holtzman
- Department of Neurology Hope Center for Neurological Disorders, and the Knight Alzheimer's Disease Research Center Washington University School of Medicine St. Louis Missouri 63110
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99
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Rüb U, Stratmann K, Heinsen H, Del Turco D, Ghebremedhin E, Seidel K, den Dunnen W, Korf HW. Hierarchical Distribution of the Tau Cytoskeletal Pathology in the Thalamus of Alzheimer's Disease Patients. J Alzheimers Dis 2016; 49:905-15. [PMID: 26519431 DOI: 10.3233/jad-150639] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In spite of considerable progress in neuropathological research on Alzheimer's disease (AD), knowledge regarding the exact pathoanatomical distribution of the tau cytoskeletal pathology in the thalamus of AD patients in the advanced Braak and Braak AD stages V or VI of the cortical cytoskeletal pathology is still fragmentary. Investigation of serial 100 μm-thick brain tissue sections through the thalamus of clinically diagnosed AD patients with Braak and Braak AD stage V or VI cytoskeletal pathologies immunostained with the anti-tau AT8 antibody, along with the affection of the extraterritorial reticular nucleus of the thalamus, reveals a consistent and severe tau immunoreactive cytoskeletal pathology in the limbic nuclei of the thalamus (e.g., paraventricular, anterodorsal and laterodorsal nuclei, limitans-suprageniculate complex). The thalamic nuclei integrated into the associative networks of the human brain (e.g., ventral anterior and mediodorsal nuclei) are only mildly affected, while its motor precerebellar (ventral lateral nucleus) and sensory nuclei (e.g., lateral and medial geniculate bodies, ventral posterior medial and lateral nuclei, parvocellular part of the ventral posterior medial nucleus) are more or less spared. The highly stereotypical and characteristic thalamic distribution pattern of the AD-related tau cytoskeletal pathology represents an anatomical mirror of the hierarchical topographic distribution of the cytoskeletal pathology in the interconnected regions of the cerebral cortex of AD patients. These pathoanatomical parallels support the pathophysiological concept of a transneuronal spread of the disease process of AD along anatomical pathways. The AD-related tau cytoskeletal pathology in the thalamus most likely contributes substantially to the neuropsychiatric disease symptoms (e.g., dementia), attention deficits, oculomotor dysfunctions, altered non-discriminative aspects of pain experience of AD patients, and the disruption of their waking and sleeping patterns.
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Affiliation(s)
- Udo Rüb
- Dr. Senckenbergisches Chronomedizinisches Institut, Goethe-University, Frankfurt/Main, Germany
| | - Katharina Stratmann
- Dr. Senckenbergisches Chronomedizinisches Institut, Goethe-University, Frankfurt/Main, Germany
| | - Helmut Heinsen
- Morphological Brain Research Unit, Psychiatric Clinic, Julius Maximilians University, Würzburg, Germany
| | - Domenico Del Turco
- Institute of Clinical Neuroanatomy, Neuroscience Center, Goethe-University, Frankfurt/Main, Germany
| | - Estifanos Ghebremedhin
- Institute of Clinical Neuroanatomy, Neuroscience Center, Goethe-University, Frankfurt/Main, Germany
| | - Kay Seidel
- Dr. Senckenbergisches Chronomedizinisches Institut, Goethe-University, Frankfurt/Main, Germany
| | - Wilfred den Dunnen
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Horst-Werner Korf
- Dr. Senckenbergisches Chronomedizinisches Institut, Goethe-University, Frankfurt/Main, Germany
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100
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Abstract
Sleep disorders are prevalent in Alzheimer's disease (AD) and a major cause of institutionalization. Like AD pathology, sleep abnormalities can appear years before cognitive decline and may be predictive of dementia. A bidirectional relationship between sleep and amyloid β (Aβ) has been well established with disturbed sleep and increased wakefulness leading to increased Aβ production and decreased Aβ clearance; whereas Aβ deposition is associated with increased wakefulness and sleep disturbances. Aβ fluctuates with the sleep-wake cycle and is higher during wakefulness and lower during sleep. This fluctuation is lost with Aβ deposition, likely due to its sequestration into amyloid plaques. As such, Aβ is believed to play a significant role in the development of sleep disturbances in the preclinical and clinical phases of AD. In addition to Aβ, the influence of tau AD pathology is likely important to the sleep disturbances observed in AD. Abnormal tau is the earliest observable AD-like pathology in the brain with abnormal tau phosphorylation in many sleep regulating regions such as the locus coeruleus, dorsal raphe, tuberomammillary nucleus, parabrachial nucleus, and basal forebrain prior to the appearance of amyloid or cortical tau pathology. Furthermore, human tau mouse models exhibit AD-like sleep disturbances and sleep changes are common in other tauopathies including frontotemporal dementia and progressive supranuclear palsy. Together these observations suggest that tau pathology can induce sleep disturbances and may play a large role in the sleep disruption seen in AD. To elucidate the relationship between sleep and AD it will be necessary to not only understand the role of amyloid but also tau and how these two pathologies, together with comorbid pathology such as alpha-synuclein, interact and affect sleep regulation in the brain.
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