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Anderson ME, Wind EJ, Robison LS. Exploring the neuroprotective role of physical activity in cerebral small vessel disease. Brain Res 2024; 1833:148884. [PMID: 38527712 DOI: 10.1016/j.brainres.2024.148884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 03/27/2024]
Abstract
Cerebral small vessel disease (cSVD) is a common neurological finding characterized by abnormalities of the small blood vessels in the brain. Previous research has established a strong connection between cSVD and stroke, as well as neurodegenerative disorders, notably Alzheimer's disease (AD) and other dementias. As the search for effective interventions continues, physical activity (PA) has emerged as a potential preventative and therapeutic avenue. This review synthesizes the human and animal literature on the influence of PA on cSVD, highlighting the importance of determining optimal exercise protocols, considering aspects such as intensity, duration, timing, and exercise type. Furthermore, the necessity of widening the age bracket in research samples is discussed, ensuring a holistic understanding of the interventions across varying pathological stages of the disease. The review also suggests the potential of exploring diverse biomarkers and risk profiles associated with clinically significant outcomes. Moreover, we review findings demonstrating the beneficial effects of PA in various rodent models of cSVD, which have uncovered numerous mechanisms of neuroprotection, including increases in neuroplasticity and integrity of the vasculature and white matter; decreases in inflammation, oxidative stress, and mitochondrial dysfunction; and alterations in amyloid processing and neurotransmitter signaling. In conclusion, this review highlights the potential of physical activity as a preventive strategy for addressing cSVD, offering insights into the need for refining exercise parameters, diversifying research populations, and exploring novel biomarkers, while shedding light on the intricate mechanisms through which exercise confers neuroprotection in both humans and animal models.
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Affiliation(s)
- Maria E Anderson
- Department of Psychology, Family, and Justice Studies, University of Saint Joseph, 1678 Asylum Ave, West Hartford, CT 06117, USA
| | - Eleanor J Wind
- Department of Psychology and Neuroscience, Nova Southeastern University, 3300 S. University Drive, Fort Lauderdale, FL 33328, USA
| | - Lisa S Robison
- Department of Psychology and Neuroscience, Nova Southeastern University, 3300 S. University Drive, Fort Lauderdale, FL 33328, USA.
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2
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Womack CL, Perkins A, Arnold JM. Cognitive Impairment in the Primary Care Clinic. Prim Care 2024; 51:233-251. [PMID: 38692772 DOI: 10.1016/j.pop.2024.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
Cognitive impairment is a common problem in the geriatric population and is characterized by variable symptoms of memory difficulties, executive dysfunction, language or visuospatial problems, and behavioral changes. It is imperative that primary care clinicians recognize and differentiate the variable symptoms associated with cognitive impairment from changes attributable to normal aging or secondary to other medical conditions. A thorough evaluation for potentially reversible causes of dementia is required before diagnosis with a neurodegenerative dementia. Other abnormal neurologic findings, rapid progression, or early age of onset are red flags that merit referral to neurology for more specialized evaluation and treatment.
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Affiliation(s)
- Cindy L Womack
- Department of Neurology, Neuroscience Institute, Southern Illinois University School of Medicine, 751 North Rutledge Street, PO 19643, Springfield, IL 62794, USA
| | - Andrea Perkins
- Department of Neurology, Neuroscience Institute, Southern Illinois University School of Medicine, 751 North Rutledge Street, PO 19643, Springfield, IL 62794, USA
| | - Jennifer M Arnold
- Department of Neurology, Neuroscience Institute, Southern Illinois University School of Medicine, 751 North Rutledge Street, PO 19643, Springfield, IL 62794, USA.
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3
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Zhang M, Lan X, Gao Y, Zou Y, Li S, Liang Y, Janowski M, Walczak P, Chu C. Activation of NLRP3 inflammasome in a rat model of cerebral small vessel disease. Exp Brain Res 2024; 242:1387-1397. [PMID: 38563979 DOI: 10.1007/s00221-024-06824-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 03/18/2024] [Indexed: 04/04/2024]
Abstract
Cerebral small vessel disease (CSVD) is increasingly being recognized as a leading contributor to cognitive impairment in the elderly. However, there is a lack of effective preventative or therapeutic options for CSVD. In this exploratory study, we investigated the interplay between neuroinflammation and CSVD pathogenesis as well as the cognitive performance, focusing on NLRP3 signaling as a new therapeutic target. Spontaneously hypertensive stroke-prone (SHRSP) rats served as a CSVD model. We found that SHRSP rats showed decline in learning and memory abilities using morris water maze test. Activated NLRP3 signaling and an increased expression of the downstream pro-inflammatory factors, including IL (interleukin)-6 and tumor necrosis factor α were determined. We also observed a remarkable increase in the production of pyroptosis executive protein gasdermin D, and elevated astrocytic and microglial activation. In addition, we identify several neuropathological hallmarks of CSVD, including blood-brain barrier breakdown, white matter damage, and endothelial dysfunction. These results were in correlation with the activation of NLRP3 inflammasome. Thus, our findings reveal that the NLRP3-mediated inflammatory pathway could play a central role in the pathogenesis of CSVD, presenting a novel target for potential CSVD treatment.
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Affiliation(s)
- Meiyan Zhang
- Department of Neurology, Central Hospital of Dalian University of Technology, Dalian, Liaoning, 116033, P.R. China
| | - Xiaoyan Lan
- Department of Neurology, Central Hospital of Dalian University of Technology, Dalian, Liaoning, 116033, P.R. China
| | - Yue Gao
- Department of Neurology, Central Hospital of Dalian University of Technology, Dalian, Liaoning, 116033, P.R. China
| | - Yu Zou
- Department of Neurology, Central Hospital of Dalian University of Technology, Dalian, Liaoning, 116033, P.R. China
| | - Shen Li
- Department of Neurology and Psychiatry, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, P.R. China
| | - Yajie Liang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Miroslaw Janowski
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Piotr Walczak
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Chengyan Chu
- Department of Neurology, Central Hospital of Dalian University of Technology, Dalian, Liaoning, 116033, P.R. China.
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
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4
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Yang W, Wang J, Dove A, Dunk MM, Qi X, Bennett DA, Xu W. Association of cognitive reserve with the risk of dementia in the UK Biobank: role of polygenic factors. Br J Psychiatry 2024; 224:213-220. [PMID: 38328972 DOI: 10.1192/bjp.2024.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
BACKGROUND It remains unclear whether cognitive reserve can attenuate dementia risk among people with different genetic predispositions. AIMS We aimed to examine the association between cognitive reserve and dementia, and further to explore whether and to what extent cognitive reserve may modify the risk effect of genetic factors on dementia. METHOD Within the UK Biobank, 210 631 dementia-free participants aged ≥60 years were followed to detect incident dementia. Dementia was ascertained through medical and death records. A composite cognitive reserve indicator encompassing education, occupation and multiple cognitively loaded activities was created using latent class analysis, categorised as low, moderate and high level. Polygenic risk scores for Alzheimer's disease were constructed to evaluate genetic risk for dementia, categorised by tertiles (high, moderate and low). Data were analysed using Cox models and Laplace regression. RESULTS In multi-adjusted Cox models, the hazard ratio (HR) of dementia was 0.66 (95% confidence interval (CI) 0.61-0.70) for high cognitive reserve compared with low cognitive reserve. In Laplace regression, participants with high cognitive reserve developed dementia 1.62 (95% CI 1.35-1.88) years later than those with low cognitive reserve. In stratified analysis by genetic risk, high cognitive reserve was related to more than 30% lower dementia risk compared with low cognitive reserve in each stratum. There was an additive interaction between low cognitive reserve and high genetic risk on dementia (attributable proportion 0.24, 95% CI 0.17-0.31). CONCLUSIONS High cognitive reserve is associated with reduced risk of dementia and may delay dementia onset. Genetic risk for dementia may be mitigated by high cognitive reserve. Our findings underscore the importance of enhancing cognitive reserve in dementia prevention.
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Affiliation(s)
- Wenzhe Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jiao Wang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Abigail Dove
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Michelle M Dunk
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Xiuying Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; and Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, USA
| | - Weili Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; and Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
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5
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Yu L, Wang T, Hansson O, Janelidze S, Lamar M, Arfanakis K, Bennett DA, Schneider JA, Boyle PA. MRI-Derived AD Signature of Cortical Thinning and Plasma P-Tau217 for Predicting Alzheimer Dementia Among Community-Dwelling Older Adults. Neurol Clin Pract 2024; 14:e200291. [PMID: 38720951 PMCID: PMC11073883 DOI: 10.1212/cpj.0000000000200291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 01/25/2024] [Indexed: 05/12/2024]
Abstract
Background and Objectives Structural brain MRI and blood-based phosphorylated tau (p-tau) measures are among the least invasive and least expensive Alzheimer's disease (AD) biomarkers to date. The extent to which these biomarkers may outperform one another in predicting future Alzheimer dementia diagnosis is poorly understood, however. This study investigated 2 specific AD biomarkers, i.e., a cortical thickness signature of AD (AD-CT) and plasma p-tau217, for predicting Alzheimer dementia. Methods Data came from community-dwelling older participants of the Religious Orders Study or the Rush Memory and Aging Project. AD-CT was obtained from 3T MRI scans using a magnetization-prepared rapid acquisition gradient echo sequence and by averaging thickness from previously identified cortical regions implicated in AD. Plasma p-tau217 was quantified using an immunoassay developed by Lilly Research Laboratories on the MSD platform. Both MRI scans and blood specimens were collected at the same visits, and subsequent diagnoses of Alzheimer dementia were determined through annual detailed clinical evaluations. Cox proportional hazards models examined the associations of the 2 biomarkers with incident Alzheimer dementia, and prediction accuracy was assessed using c-statistics. Results A total of 198 older adults, on average 84 years of age, were included. Over a mean follow-up of 4 years, 60 (30%) individuals developed Alzheimer dementia. AD-CT (hazard ratio: 1.71, 95% CI 1.26-2.31) and separately plasma p-tau217 (hazard ratio: 2.57, 95% CI 1.83-3.61) were associated with incident Alzheimer dementia. The c-statistic for prediction accuracy was consistently higher for plasma p-tau217 (between 0.74 and 0.81) than AD-CT (between 0.70 and 0.75) across a range of time horizons. Furthermore, with both biomarkers included in the same model, there was only modest improvement in the c-statistic due to AD-CT. Discussion Plasma p-tau217 outperforms an imaging-based cortical thickness signature of AD in predicting future Alzheimer dementia diagnosis. Furthermore, the AD cortical thickness signature adds little to the prediction accuracy above and beyond plasma p-tau217.
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Affiliation(s)
- Lei Yu
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Tianhao Wang
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Oskar Hansson
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Shorena Janelidze
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Melissa Lamar
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - David A Bennett
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Julie A Schneider
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Patricia A Boyle
- Rush Alzheimer's Disease Center (LY, TW, ML, KA, DAB, JAS, PAB), Rush University Medical Center, Chicago, IL; and Clinical Memory Research Unit (OH, SJ), Department of Clinical Sciences, Lund University, Malmö, Sweden
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Lao P, Edwards N, Flores-Aguilar L, Alshikho M, Rizvi B, Tudorascu D, Rosas HD, Yassa M, Christian BT, Mapstone M, Handen B, Zimmerman ME, Gutierrez J, Wilcock D, Head E, Brickman AM. Cerebrovascular disease emerges with age and Alzheimer's disease in adults with Down syndrome. Sci Rep 2024; 14:12334. [PMID: 38811657 PMCID: PMC11137035 DOI: 10.1038/s41598-024-61962-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 05/13/2024] [Indexed: 05/31/2024] Open
Abstract
Adults with Down syndrome have a genetic form of Alzheimer's disease (AD) and evidence of cerebrovascular disease across the AD continuum, despite few systemic vascular risk factors. The onset and progression of AD in Down syndrome is highly age-dependent, but it is unknown at what age cerebrovascular disease emerges and what factors influence its severity. In the Alzheimer's Biomarker Consortium-Down Syndrome study (ABC-DS; n = 242; age = 25-72), we estimated the age inflection point at which MRI-based white matter hyperintensities (WMH), enlarged perivascular spaces (PVS), microbleeds, and infarcts emerge in relation to demographic data, risk factors, amyloid and tau, and AD diagnosis. Enlarged PVS and infarcts appear to develop in the early 30s, while microbleeds, WMH, amyloid, and tau emerge in the mid to late 30s. Age-residualized WMH were higher in women, in individuals with dementia, and with lower body mass index. Participants with hypertension and APOE-ε4 had higher age-residualized PVS and microbleeds, respectively. Lifespan trajectories demonstrate a dramatic cerebrovascular profile in adults with Down syndrome that appears to evolve developmentally in parallel with AD pathophysiology approximately two decades prior to dementia symptoms.
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Affiliation(s)
- Patrick Lao
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, 630 West 168th Street, PS Box 16, New York, NY, 10032, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Natalie Edwards
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, 630 West 168th Street, PS Box 16, New York, NY, 10032, USA
| | - Lisi Flores-Aguilar
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, 92697, USA
| | - Mohamad Alshikho
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, 630 West 168th Street, PS Box 16, New York, NY, 10032, USA
| | - Batool Rizvi
- Department of Neurology, University of California, Irvine, Irvine, CA, 92697, USA
| | - Dana Tudorascu
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
| | - H Diana Rosas
- Department of Neurology, Massachusetts General Hospital, Harvard Medical Center, Boston, MA, 02114, USA
| | - Michael Yassa
- Department of Neurology, University of California, Irvine, Irvine, CA, 92697, USA
| | | | - Mark Mapstone
- Department of Neurology, University of California, Irvine, Irvine, CA, 92697, USA
| | - Benjamin Handen
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
| | | | - Jose Gutierrez
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Donna Wilcock
- Departments of Neurology and Anatomy, Cell Biology, and Physiology, Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Elizabeth Head
- Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA, 92697, USA
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, 92697, USA
| | - Adam M Brickman
- Gertrude H. Sergievsky Center and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, 630 West 168th Street, PS Box 16, New York, NY, 10032, USA.
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA.
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7
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Wang HP, Scalco R, Saito N, Beckett L, Nguyen ML, Huie EZ, Honig LS, DeCarli C, Rissman RA, Teich AF, Mungas DM, Jin LW, Dugger BN. The neuropathological landscape of small vessel disease and Lewy pathology in a cohort of Hispanic and non-Hispanic White decedents with Alzheimer disease. Acta Neuropathol Commun 2024; 12:81. [PMID: 38790074 PMCID: PMC11127432 DOI: 10.1186/s40478-024-01773-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 04/03/2024] [Indexed: 05/26/2024] Open
Abstract
Cerebrovascular and α-synuclein pathologies are frequently observed alongside Alzheimer disease (AD). The heterogeneity of AD necessitates comprehensive approaches to postmortem studies, including the representation of historically underrepresented ethnic groups. In this cohort study, we evaluated small vessel disease pathologies and α-synuclein deposits among Hispanic decedents (HD, n = 92) and non-Hispanic White decedents (NHWD, n = 184) from three Alzheimer's Disease Research Centers: Columbia University, University of California San Diego, and University of California Davis. The study included cases with a pathological diagnosis of Intermediate/High AD based on the National Institute on Aging- Alzheimer's Association (NIA-AA) and/or NIA-Reagan criteria. A 2:1 random comparison sample of NHWD was frequency-balanced and matched with HD by age and sex. An expert blinded to demographics and center origin evaluated arteriolosclerosis, cerebral amyloid angiopathy (CAA), and Lewy bodies/Lewy neurites (LBs/LNs) with a semi-quantitative approach using established criteria. There were many similarities and a few differences among groups. HD showed more severe Vonsattel grading of CAA in the cerebellum (p = 0.04), higher CAA density in the posterior hippocampus and cerebellum (ps = 0.01), and increased LBs/LNs density in the frontal (p = 0.01) and temporal cortices (p = 0.03), as determined by Wilcoxon's test. Ordinal logistic regression adjusting for age, sex, and center confirmed these findings except for LBs/LNs in the temporal cortex. Results indicate HD with AD exhibit greater CAA and α-synuclein burdens in select neuroanatomic regions when compared to age- and sex-matched NHWD with AD. These findings aid in the generalizability of concurrent arteriolosclerosis, CAA, and LBs/LNs topography and severity within the setting of pathologically confirmed AD, particularly in persons of Hispanic descent, showing many similarities and a few differences to those of NHW descent and providing insights into precision medicine approaches.
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Affiliation(s)
- Hsin-Pei Wang
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Rebeca Scalco
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Naomi Saito
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Laurel Beckett
- Division of Biostatistics, Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - My-Le Nguyen
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Emily Z Huie
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Lawrence S Honig
- Taub Institute for Research on Alzheimer's Disease and Aging Brain, Department of Neurology, Columbia University Medical Center, New York, USA
| | - Charles DeCarli
- Alzheimer's Disease Research Center, Department of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Robert A Rissman
- Department of Neurosciences, University of California San Diego, San Diego, La Jolla, CA, USA
| | - Andrew F Teich
- Taub Institute for Research on Alzheimer's Disease and Aging Brain, Department of Neurology, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, USA
| | - Dan M Mungas
- Alzheimer's Disease Research Center, Department of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Lee-Way Jin
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA
- Alzheimer's Disease Research Center, Department of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA
| | - Brittany N Dugger
- Department of Pathology and Laboratory Medicine, University of California Davis School of Medicine, Sacramento, CA, USA.
- Alzheimer's Disease Research Center, Department of Neurology, University of California Davis School of Medicine, Sacramento, CA, USA.
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8
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Wuestefeld A, Pichet Binette A, van Westen D, Strandberg O, Stomrud E, Mattsson-Carlgren N, Janelidze S, Smith R, Palmqvist S, Baumeister H, Berron D, Yushkevich PA, Hansson O, Spotorno N, Wisse LE. Medial temporal lobe atrophy patterns in early- versus late-onset amnestic Alzheimer's disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.21.594976. [PMID: 38826333 PMCID: PMC11142072 DOI: 10.1101/2024.05.21.594976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Background The medial temporal lobe (MTL) is hypothesized to be relatively spared in early-onset Alzheimer's disease (EOAD). Yet, detailed examination of MTL subfield volumes and drivers of atrophy in amnestic EOAD is lacking. Methods BioFINDER-2 participants with memory impairment, abnormal amyloid-β status and tau-PET were included. Forty-one EOAD individuals aged ≥65 years and, as comparison, late-onset AD (LOAD, ≤70 years, n=154) and Aβ-negative cognitively unimpaired controls were included. MTL subregions and biomarkers of (co-)pathologies were measured. Results AD groups showed smaller MTL subregions compared to controls. Atrophy patterns were similar across AD groups, although LOAD showed thinner entorhinal cortices compared to EOAD. EOAD showed lower WMH compared to LOAD. No differences in MTL tau-PET or transactive response DNA binding protein 43-proxy positivity was found. Conclusions We found in vivo evidence for MTL atrophy in amnestic EOAD and overall similar levels to LOAD of MTL tau pathology and co-pathologies.
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9
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Gouveia Roque C, Phatnani H, Hengst U. The broken Alzheimer's disease genome. CELL GENOMICS 2024; 4:100555. [PMID: 38697121 PMCID: PMC11099344 DOI: 10.1016/j.xgen.2024.100555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/25/2024] [Accepted: 04/07/2024] [Indexed: 05/04/2024]
Abstract
The complex pathobiology of late-onset Alzheimer's disease (AD) poses significant challenges to therapeutic and preventative interventions. Despite these difficulties, genomics and related disciplines are allowing fundamental mechanistic insights to emerge with clarity, particularly with the introduction of high-resolution sequencing technologies. After all, the disrupted processes at the interface between DNA and gene expression, which we call the broken AD genome, offer detailed quantitative evidence unrestrained by preconceived notions about the disease. In addition to highlighting biological pathways beyond the classical pathology hallmarks, these advances have revitalized drug discovery efforts and are driving improvements in clinical tools. We review genetic, epigenomic, and gene expression findings related to AD pathogenesis and explore how their integration enables a better understanding of the multicellular imbalances contributing to this heterogeneous condition. The frontiers opening on the back of these research milestones promise a future of AD care that is both more personalized and predictive.
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Affiliation(s)
- Cláudio Gouveia Roque
- Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY 10013, USA; The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
| | - Hemali Phatnani
- Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, NY 10013, USA; Department of Neurology, Center for Translational and Computational Neuroimmunology, Columbia University, New York, NY 10032, USA
| | - Ulrich Hengst
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA; Department of Pathology & Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
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10
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2024 Alzheimer's disease facts and figures. Alzheimers Dement 2024; 20:3708-3821. [PMID: 38689398 PMCID: PMC11095490 DOI: 10.1002/alz.13809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
This article describes the public health impact of Alzheimer's disease (AD), including prevalence and incidence, mortality and morbidity, use and costs of care and the ramifications of AD for family caregivers, the dementia workforce and society. The Special Report discusses the larger health care system for older adults with cognitive issues, focusing on the role of caregivers and non-physician health care professionals. An estimated 6.9 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060, barring the development of medical breakthroughs to prevent or cure AD. Official AD death certificates recorded 119,399 deaths from AD in 2021. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death in the United States. Official counts for more recent years are still being compiled. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2021, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 140%. More than 11 million family members and other unpaid caregivers provided an estimated 18.4 billion hours of care to people with Alzheimer's or other dementias in 2023. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $346.6 billion in 2023. Its costs, however, extend to unpaid caregivers' increased risk for emotional distress and negative mental and physical health outcomes. Members of the paid health care and broader community-based workforce are involved in diagnosing, treating and caring for people with dementia. However, the United States faces growing shortages across different segments of the dementia care workforce due to a combination of factors, including the absolute increase in the number of people living with dementia. Therefore, targeted programs and care delivery models will be needed to attract, better train and effectively deploy health care and community-based workers to provide dementia care. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2024 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $360 billion. The Special Report investigates how caregivers of older adults with cognitive issues interact with the health care system and examines the role non-physician health care professionals play in facilitating clinical care and access to community-based services and supports. It includes surveys of caregivers and health care workers, focusing on their experiences, challenges, awareness and perceptions of dementia care navigation.
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de Vries LE, Huitinga I, Kessels HW, Swaab DF, Verhaagen J. The concept of resilience to Alzheimer's Disease: current definitions and cellular and molecular mechanisms. Mol Neurodegener 2024; 19:33. [PMID: 38589893 PMCID: PMC11003087 DOI: 10.1186/s13024-024-00719-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 03/20/2024] [Indexed: 04/10/2024] Open
Abstract
Some individuals are able to maintain their cognitive abilities despite the presence of significant Alzheimer's Disease (AD) neuropathological changes. This discrepancy between cognition and pathology has been labeled as resilience and has evolved into a widely debated concept. External factors such as cognitive stimulation are associated with resilience to AD, but the exact cellular and molecular underpinnings are not completely understood. In this review, we discuss the current definitions used in the field, highlight the translational approaches used to investigate resilience to AD and summarize the underlying cellular and molecular substrates of resilience that have been derived from human and animal studies, which have received more and more attention in the last few years. From these studies the picture emerges that resilient individuals are different from AD patients in terms of specific pathological species and their cellular reaction to AD pathology, which possibly helps to maintain cognition up to a certain tipping point. Studying these rare resilient individuals can be of great importance as it could pave the way to novel therapeutic avenues for AD.
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Affiliation(s)
- Luuk E de Vries
- Department of Neuroregeneration, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands.
| | - Inge Huitinga
- Department of Neuroimmunology, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands
| | - Helmut W Kessels
- Swammerdam Institute for Life Sciences, Amsterdam Neuroscience, University of Amsterdam, 1098 XH, Amsterdam, the Netherlands
| | - Dick F Swaab
- Department of Neuropsychiatric Disorders, Netherlands Institute for Neuroscience, an Institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, Netherlands
| | - Joost Verhaagen
- Department of Neuroregeneration, Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA, Amsterdam, The Netherlands
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands
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Hu Y, Zhang F, Ikonomovic M, Yang T. The Role of NRF2 in Cerebrovascular Protection: Implications for Vascular Cognitive Impairment and Dementia (VCID). Int J Mol Sci 2024; 25:3833. [PMID: 38612642 PMCID: PMC11012233 DOI: 10.3390/ijms25073833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024] Open
Abstract
Vascular cognitive impairment and dementia (VCID) represents a broad spectrum of cognitive decline secondary to cerebral vascular aging and injury. It is the second most common type of dementia, and the prevalence continues to increase. Nuclear factor erythroid 2-related factor 2 (NRF2) is enriched in the cerebral vasculature and has diverse roles in metabolic balance, mitochondrial stabilization, redox balance, and anti-inflammation. In this review, we first briefly introduce cerebrovascular aging in VCID and the NRF2 pathway. We then extensively discuss the effects of NRF2 activation in cerebrovascular components such as endothelial cells, vascular smooth muscle cells, pericytes, and perivascular macrophages. Finally, we summarize the clinical potential of NRF2 activators in VCID.
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Affiliation(s)
- Yizhou Hu
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, Pittsburgh, PA 15216, USA
- Department of Internal Medicine, University of Pittsburgh Medical Center (UPMC) McKeesport, McKeesport, PA 15132, USA
| | - Feng Zhang
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, Pittsburgh, PA 15216, USA
| | - Milos Ikonomovic
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15216, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA 15240, USA
| | - Tuo Yang
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, Pittsburgh, PA 15216, USA
- Department of Internal Medicine, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA 15216, USA
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Maldonado-Díaz C, Hiya S, Yokoda RT, Farrell K, Marx GA, Kauffman J, Daoud EV, Gonzales MM, Parker AS, Canbeldek L, Kulumani Mahadevan LS, Crary JF, White CL, Walker JM, Richardson TE. Disentangling and quantifying the relative cognitive impact of concurrent mixed neurodegenerative pathologies. Acta Neuropathol 2024; 147:58. [PMID: 38520489 PMCID: PMC10960766 DOI: 10.1007/s00401-024-02716-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/25/2024]
Abstract
Neurodegenerative pathologies such as Alzheimer disease neuropathologic change (ADNC), Lewy body disease (LBD), limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC), and cerebrovascular disease (CVD) frequently coexist, but little is known about the exact contribution of each pathology to cognitive decline and dementia in subjects with mixed pathologies. We explored the relative cognitive impact of concurrent common and rare neurodegenerative pathologies employing multivariate logistic regression analysis adjusted for age, gender, and level of education. We analyzed a cohort of 6,262 subjects from the National Alzheimer's Coordinating Center database, ranging from 0 to 6 comorbid neuropathologic findings per individual, where 95.7% of individuals had at least 1 neurodegenerative finding at autopsy and 75.5% had at least 2 neurodegenerative findings. We identified which neuropathologic entities correlate most frequently with one another and demonstrated that the total number of pathologies per individual was directly correlated with cognitive performance as assessed by Clinical Dementia Rating (CDR®) and Mini-Mental State Examination (MMSE). We show that ADNC, LBD, LATE-NC, CVD, hippocampal sclerosis, Pick disease, and FTLD-TDP significantly impact overall cognition as independent variables. More specifically, ADNC significantly affected all assessed cognitive domains, LBD affected attention, processing speed, and language, LATE-NC primarily affected tests related to logical memory and language, while CVD and other less common pathologies (including Pick disease, progressive supranuclear palsy, and corticobasal degeneration) had more variable neurocognitive effects. Additionally, ADNC, LBD, and higher numbers of comorbid neuropathologies were associated with the presence of at least one APOE ε4 allele, and ADNC and higher numbers of neuropathologies were inversely correlated with APOE ε2 alleles. Understanding the mechanisms by which individual and concomitant neuropathologies affect cognition and the degree to which each contributes is an imperative step in the development of biomarkers and disease-modifying therapeutics, particularly as these medical interventions become more targeted and personalized.
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Affiliation(s)
- Carolina Maldonado-Díaz
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
| | - Satomi Hiya
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
| | - Raquel T Yokoda
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
| | - Kurt Farrell
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronal M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Gabriel A Marx
- Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronal M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Justin Kauffman
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronal M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Elena V Daoud
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Mitzi M Gonzales
- Department of Neurology, Cedars Sinai Medical Center, Los Angeles, CA, 90048, USA
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Alicia S Parker
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Leyla Canbeldek
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
| | - Lakshmi Shree Kulumani Mahadevan
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
| | - John F Crary
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Ronal M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Charles L White
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Jamie M Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Neuropathology Brain Bank and Research CoRE, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Timothy E Richardson
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, Annenberg Building, 15.238, 1468 Madison Avenue, New York, NY, 10029, USA.
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Mayer G, Frohnhofen H, Jokisch M, Hermann DM, Gronewold J. Associations of sleep disorders with all-cause MCI/dementia and different types of dementia - clinical evidence, potential pathomechanisms and treatment options: A narrative review. Front Neurosci 2024; 18:1372326. [PMID: 38586191 PMCID: PMC10995403 DOI: 10.3389/fnins.2024.1372326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/11/2024] [Indexed: 04/09/2024] Open
Abstract
Due to worldwide demographic change, the number of older persons in the population is increasing. Aging is accompanied by changes of sleep structure, deposition of beta-amyloid (Aß) and tau proteins and vascular changes and can turn into mild cognitive impairment (MCI) as well as dementia. Sleep disorders are discussed both as a risk factor for and as a consequence of MCI/dementia. Cross-sectional and longitudinal population-based as well as case-control studies revealed sleep disorders, especially sleep-disorderded breathing (SDB) and excessive or insufficient sleep durations, as risk factors for all-cause MCI/dementia. Regarding different dementia types, SDB was especially associated with vascular dementia while insomnia/insufficient sleep was related to an increased risk of Alzheimer's disease (AD). Scarce and still inconsistent evidence suggests that therapy of sleep disorders, especially continuous positive airway pressure (CPAP) in SDB, can improve cognition in patients with sleep disorders with and without comorbid dementia and delay onset of MCI/dementia in patients with sleep disorders without previous cognitive impairment. Regarding potential pathomechanisms via which sleep disorders lead to MCI/dementia, disturbed sleep, chronic sleep deficit and SDB can impair glymphatic clearance of beta-amyloid (Aß) and tau which lead to amyloid deposition and tau aggregation resulting in changes of brain structures responsible for cognition. Orexins are discussed to modulate sleep and Aß pathology. Their diurnal fluctuation is suppressed by sleep fragmentation and the expression suppressed at the point of hippocampal atrophy, contributing to the progression of dementia. Additionally, sleep disorders can lead to an increased vascular risk profile and vascular changes such as inflammation, endothelial dysfunction and atherosclerosis which can foster neurodegenerative pathology. There is ample evidence indicating that changes of sleep structure in aging persons can lead to dementia and also evidence that therapy of sleep disorder can improve cognition. Therefore, sleep disorders should be identified and treated early.
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Affiliation(s)
- Geert Mayer
- Department of Neurology, Philipps-Universität Marburg, Marburg, Germany
| | - Helmut Frohnhofen
- Department of Orthopedics and Trauma Surgery, University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany
- Department of Medicine, Geriatrics, Faculty of Health, University Witten-Herdecke, Witten, Germany
| | - Martha Jokisch
- Department of Neurology and Center for Translational Neuro-and Behavioral Sciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Dirk M. Hermann
- Department of Neurology and Center for Translational Neuro-and Behavioral Sciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Janine Gronewold
- Department of Neurology and Center for Translational Neuro-and Behavioral Sciences (C-TNBS), University Hospital Essen, University Duisburg-Essen, Essen, Germany
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Shriram J, Malek-Ahmadi M, Irwin C, Sabbagh M. Impact of incidental synucleinopathy in mild cognitive impairment due to Alzheimer disease. J Neuropathol Exp Neurol 2024; 83:230-237. [PMID: 38345347 PMCID: PMC10951969 DOI: 10.1093/jnen/nlae009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2024] Open
Abstract
Recent evidence suggests that the presence of α-synuclein Lewy bodies (LBs) correlates with accelerated disease progression in patients with Alzheimer disease (AD) but it is unclear whether this effect is also exerted in the mild cognitive impairment (MCI) phase of AD. We sought to determine whether incidental LB pathology in patients with MCI due to AD is associated with a faster rate of cognitive decline compared to MCI controls without LB pathology. We identified patients within the National Alzheimer's Coordinating Center (NACC) database with MCI due to AD and stratified the cohort by the presence or absence of synucleinopathy. We utilized a repeated measures longitudinal analysis of Mini-Mental State Examination (MMSE) scores to determine whether the decline in performance occurred at a greater rate in the synucleinopathy patients. A total of 206 participants were studied; 80 had coincident synucleinopathy. The rate of decline in MMSE scores between the groups did not differ. This may suggest that a synergistic effect of LB and AD neuropathology is only appreciable in the later stages of disease progression. Further investigation into the effect of mixed LB and AD pathology in the early stages of cognitive impairment is warranted to highlight opportunities for targeted early intervention in patients.
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Affiliation(s)
- Jahnavi Shriram
- University of Arizona College of Medicine, Phoenix, Arizona, USA
| | - Michael Malek-Ahmadi
- Department of Biomedical Informatics, University of Arizona College of Medicine, Phoenix, Arizona, USA
| | - Chase Irwin
- Department of Biostatistics, University of Arizona College of Medicine, Phoenix, Arizona, USA
| | - Marwan Sabbagh
- Department of Neurology, Barrow Neurological Institute, Phoenix, Arizona, USA
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Abstract
OBJECTIVES The literature on Alzheimer's disease (AD) provides little data about long-term cognitive course trajectories. We identify global cognitive outcome trajectories and associated predictor variables that may inform clinical research and care. DESIGN Data derived from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set were used to examine the cognitive course of persons with possible or probable AD, a Mini-Mental State Examination (MMSE) of ≥10, and complete annual assessments for 5 years. SETTING Thirty-six Alzheimer's Disease Research Centers. PARTICIPANTS Four hundred and fourteen persons. MEASUREMENTS We used a hybrid approach comprising qualitative analysis of MMSE trajectory graphs that were operationalized empirically and binary logistic regression analyses to assess 19 variables' associations with each trajectory. MMSE scores of ±3 points or greater were considered clinically meaningful. RESULTS Five distinct cognitive trajectories were identified: fast decliners (32.6%), slow decliners (30.7%), zigzag stable (15.9%), stable (15.9%), and improvers (4.8%). The decliner groups had three subtypes: curvilinear, zigzag, and late decline. The fast decliners were associated with female gender, lower baseline MMSE scores, a shorter illness duration, or receiving a cognitive enhancer. An early MMSE decline of ≥3 points predicted a worse outcome. A higher rate of traumatic brain injury, the absence of an ApoE ϵ4 allele, and male gender were the strongest predictors of favorable outcomes. CONCLUSIONS Our hybrid approach revealed five distinct cognitive trajectories and a variegated pattern within the decliners and stable/improvers that was more consistent with real-world clinical experience than prior statistically modeled studies. Future investigations need to determine the consistency of the distribution of these categories across settings.
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Affiliation(s)
- Carl I Cohen
- Division of Geriatric Psychiatry & Center of Excellence for Alzheimer's Disease, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Barry Reisberg
- Emeritus, New York University Langone Health, New York, NY, USA
| | - Robert Yaffee
- Retired, Silver School of Social Work, New York University, New York, NY, USA
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Freudenberg-Hua Y, Li W, Lee UJ, Ma Y, Koppel J, Goate A. Association between pre-dementia psychiatric diagnoses and all-cause dementia is independent from polygenic dementia risks in the UK Biobank. EBioMedicine 2024; 101:104978. [PMID: 38320878 PMCID: PMC10944156 DOI: 10.1016/j.ebiom.2024.104978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 12/27/2023] [Accepted: 01/08/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Psychiatric disorders have been associated with higher risk for future dementia. Understanding how pre-dementia psychiatric disorders (PDPD) relate to established dementia genetic risks has implications for dementia prevention. METHODS In this retrospective cohort study, we investigated the relationships between polygenic risk scores for Alzheimer's disease (AD PRS), PDPD, alcohol use disorder (AUD), and subsequent dementia in the UK Biobank (UKB) and tested whether the relationships are consistent with different causal models. FINDINGS Among 502,408 participants, 9352 had dementia. As expected, AD PRS was associated with greater risk for dementia (odds ratio (OR) 1.62, 95% confidence interval (CI), 1.59-1.65). A total of 94,237 participants had PDPD, of whom 2.6% (n = 2519) developed subsequent dementia, compared to 1.7% (n = 6833) of 407,871 participants without PDPD. Accordingly, PDPD were associated with 73% greater risk of incident dementia (OR 1.73, 1.65-1.83). Among dementia subtypes, the risk increase was 1.5-fold for AD (n = 3365) (OR 1.46, 1.34-1.59) and 2-fold for vascular dementia (VaD, n = 1823) (OR 2.08, 1.87-2.32). Our data indicated that PDPD were neither a dementia prodrome nor a mediator for AD PRS. Shared factors for both PDPD and dementia likely substantially account for the observed association, while a causal role of PDPD in dementia could not be excluded. AUD could be one of the shared causes for PDPD and dementia. INTERPRETATION Psychiatric diagnoses were associated with subsequent dementia in UKB participants, and the association is orthogonal to established dementia genetic risks. Investigating shared causes for psychiatric disorders and dementia would shed light on this dementia pathway. FUNDING US NIH (K08AG054727).
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Affiliation(s)
- Yun Freudenberg-Hua
- Center for Alzheimer's Disease Research, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA; Division of Geriatric Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA.
| | - Wentian Li
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA; Center for Genomics and Human Genetics, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Un Jung Lee
- Biostatistics Unit, Office of Academic Affairs, Northwell Health, New Hyde Park, NY, USA
| | - Yilong Ma
- Center for Neurosciences, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Jeremy Koppel
- Center for Alzheimer's Disease Research, Institute of Molecular Medicine, The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA; Division of Geriatric Psychiatry, Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
| | - Alison Goate
- Ronald M. Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Coomans EM, van Westen D, Binette AP, Strandberg O, Spotorno N, Serrano GE, Beach TG, Palmqvist S, Stomrud E, Ossenkoppele R, Hansson O. Interactions between vascular burden and amyloid-β pathology on trajectories of tau accumulation. Brain 2024; 147:949-960. [PMID: 37721482 PMCID: PMC10907085 DOI: 10.1093/brain/awad317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 08/02/2023] [Accepted: 09/07/2023] [Indexed: 09/19/2023] Open
Abstract
Cerebrovascular pathology often co-exists with Alzheimer's disease pathology and can contribute to Alzheimer's disease-related clinical progression. However, the degree to which vascular burden contributes to Alzheimer's disease pathological progression is still unclear. This study aimed to investigate interactions between vascular burden and amyloid-β pathology on both baseline tau tangle load and longitudinal tau accumulation. We included 1229 participants from the Swedish BioFINDER-2 Study, including cognitively unimpaired and impaired participants with and without biomarker-confirmed amyloid-β pathology. All underwent baseline tau-PET (18F-RO948), and a subset (n = 677) underwent longitudinal tau-PET after 2.5 ± 1.0 years. Tau-PET uptake was computed for a temporal meta-region-of-interest. We focused on four main vascular imaging features and risk factors: microbleeds; white matter lesion volume; stroke-related events (infarcts, lacunes and haemorrhages); and the Framingham Heart Study Cardiovascular Disease risk score. To validate our in vivo results, we examined 1610 autopsy cases from an Arizona-based neuropathology cohort on three main vascular pathological features: cerebral amyloid angiopathy; white matter rarefaction; and infarcts. For the in vivo cohort, primary analyses included age-, sex- and APOE ɛ4-corrected linear mixed models between tau-PET (outcome) and interactions between time, amyloid-β and each vascular feature (predictors). For the neuropathology cohort, age-, sex- and APOE ɛ4-corrected linear models between tau tangle density (outcome) and an interaction between plaque density and each vascular feature (predictors) were performed. In cognitively unimpaired individuals, we observed a significant interaction between microbleeds and amyloid-β pathology on greater baseline tau load (β = 0.68, P < 0.001) and longitudinal tau accumulation (β = 0.11, P < 0.001). For white matter lesion volume, we did not observe a significant independent interaction effect with amyloid-β on tau after accounting for microbleeds. In cognitively unimpaired individuals, we further found that stroke-related events showed a significant negative interaction with amyloid-β on longitudinal tau (β = -0.08, P < 0.001). In cognitively impaired individuals, there were no significant interaction effects between cerebrovascular and amyloid-β pathology at all. In the neuropathology dataset, the in vivo observed interaction effects between cerebral amyloid angiopathy and plaque density (β = 0.38, P < 0.001) and between infarcts and plaque density (β = -0.11, P = 0.005) on tau tangle density were replicated. To conclude, we demonstrated that cerebrovascular pathology-in the presence of amyloid-β pathology-modifies tau accumulation in early stages of Alzheimer's disease. More specifically, the co-occurrence of microbleeds and amyloid-β pathology was associated with greater accumulation of tau aggregates during early disease stages. This opens the possibility that interventions targeting microbleeds may attenuate the rate of tau accumulation in Alzheimer's disease.
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Affiliation(s)
- Emma M Coomans
- Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081HV Amsterdam, The Netherlands
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081HV Amsterdam, The Netherlands
| | - Danielle van Westen
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Alexa Pichet Binette
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Olof Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Nicola Spotorno
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
| | - Geidy E Serrano
- Banner Sun Health Research Institute, Sun City, AZ 85351, USA
| | - Thomas G Beach
- Banner Sun Health Research Institute, Sun City, AZ 85351, USA
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081HV Amsterdam, The Netherlands
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
- Amsterdam Neuroscience, Neurodegeneration, 1071HV Amsterdam, The Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SE-222 42 Lund, Sweden
- Memory Clinic, Skåne University Hospital, SE-205 02 Malmö, Sweden
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19
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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20
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Tarawneh R, Pankratz VS. The search for clarity regarding "clinically meaningful outcomes" in Alzheimer disease clinical trials: CLARITY-AD and Beyond. Alzheimers Res Ther 2024; 16:37. [PMID: 38365811 PMCID: PMC10870501 DOI: 10.1186/s13195-024-01412-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 02/06/2024] [Indexed: 02/18/2024]
Abstract
CLARITY-AD is an 18-month, double-blinded, placebo-controlled, phase 3 trial which examined the safety and efficacy of the anti-amyloid agent, lecanemab, in mild cognitive impairment and mild dementia due to Alzheimer disease (AD). Lecanemab effectively reduced mean brain amyloid burden and was associated with statistically significant favorable effects, reflected by moderately less decline in the primary and secondary clinical outcomes, at 18 months compared to placebo. However, there is controversy within the AD community regarding the clinical significance of these results and whether they translate into clinically meaningful and tangible benefits on cognition or daily functions.We here review the primary and secondary clinical outcomes of CLARITY-AD and present our interpretation of the potential clinical meaningfulness of the group-level differences in study outcomes in the context of the 18-month study duration. We propose that the validation of stage-appropriate group-level thresholds for clinical meaningfulness of AD trial outcomes in biologically confirmed cohorts will allow objective interpretation of trial results and guide clinical decision-making. Further, in accordance with FDA guidance which emphasizes patient-focused drug development, the contextualization of AD clinical trial outcomes can be facilitated by supplementary individual-level data analyses which measure the risk of disease progression or summarize intraindividual change, using prespecified thresholds of clinically meaningful change, in each of the study groups over the trial period. The concepts of "time-saved" and "time-based" slowing in disease progression can be used to communicate clinical outcomes associated with emerging disease-modifying AD therapies to various stakeholders. We also describe several factors that need to be considered when evaluating outcomes of emerging AD therapies, including disease stage, the neuropathologic complexity of AD, time-based effects of disease-modifying therapies, and the possible influence of individual factors on treatment response and/or risk for adverse events. The consideration of these factors in the design and reporting of future trials of emerging AD therapies will guide clinicians regarding their appropriateness for use in various patient populations.Finally, we emphasize that data from clinical cohorts with longer durations of treatment and follow-up, including extension studies and patient registries, is needed to evaluate the long-term safety and efficacy of lecanemab in early symptomatic AD.
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Affiliation(s)
- Rawan Tarawneh
- Department of Neurology and Center for Memory and Aging, University of New Mexico, Albuquerque, NM, USA.
| | - Vernon S Pankratz
- Department of Internal Medicine, Division of Epidemiology, Biostatistics, and Preventive Medicine, University of New Mexico, Albuquerque, NM, USA
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21
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Voigt RM, Ouyang B, Keshavarzian A. Outdoor Nighttime Light Exposure (Light Pollution) is Associated with Alzheimer's Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.14.24302831. [PMID: 38405987 PMCID: PMC10889016 DOI: 10.1101/2024.02.14.24302831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Alzheimer's disease (AD) prevalence has increased in the last century which can be attributed to increased lifespan, but environment is also important. This study evaluated the relationship between outdoor nighttime light exposure and AD prevalence in the United States. Higher outdoor nighttime light was associated with higher prevalence of AD. While atrial fibrillation, diabetes, hyperlipidemia, hypertension, and stroke were associated more strongly with AD prevalence than nighttime light intensity, nighttime light was more strongly associated with AD prevalence than alcohol abuse, chronic kidney disease, depression, heart failure, and obesity. Startlingly, nighttime light exposure more strongly associated with AD prevalence in those under the age of 65 than any other disease factor examined. These data indicate a need to investigate how nighttime light exposure influences AD pathogenesis.
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Affiliation(s)
- Robin M Voigt
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center; Chicago, IL, USA
- Department of Internal Medicine, Rush University Medical Center; Chicago, IL, USA
- Department of Anatomy & Cell Biology, Rush University Medical Center; Chicago, IL, USA
| | - Bichun Ouyang
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Ali Keshavarzian
- Rush Medical College, Rush Center for Integrated Microbiome and Chronobiology Research, Rush University Medical Center; Chicago, IL, USA
- Department of Internal Medicine, Rush University Medical Center; Chicago, IL, USA
- Department of Anatomy & Cell Biology, Rush University Medical Center; Chicago, IL, USA
- Department of Physiology, Rush University Medical Center, Chicago, IL, USA
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22
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Kapasi A, Capuano AW, Lamar M, Leurgans SE, Evia AM, Bennett DA, Arfanakis K, Schneider JA. Atherosclerosis and Hippocampal Volumes in Older Adults: The Role of Age and Blood Pressure. J Am Heart Assoc 2024; 13:e031551. [PMID: 38240240 PMCID: PMC11056126 DOI: 10.1161/jaha.123.031551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 12/05/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND Lower hippocampal volume is associated with late-life cognitive decline and is an important, but nonspecific marker for clinical Alzheimer's dementia. Cerebrovascular disease may also be associated with hippocampal volume. Here we study the role of intracranial large vessel disease (atherosclerosis) in association with hippocampal volume and the potential role of age, average late-life blood pressure across all visits, and other factors (sex, apolipoprotein ε4 [APOE ε4], and diabetes). METHODS AND RESULTS Data came from 765 community-based older people (91 years old on average at death; 72% women), from 2 ongoing clinical-pathologic cohort studies. Participants completed baseline assessment, annual standardized blood pressure measurements, vascular risk assessment for diabetes, and blood draws to determine APOE genotype, and at death, brains were removed and underwent ex vivo magnetic resonance imaging and neuropathologic evaluation for atherosclerosis pathology and other cerebrovascular and neurodegenerative pathologies. Linear regression models examined the association of atherosclerosis and hippocampal to hemisphere volume ratio and whether age at death, blood pressure, and other factors modified associations. In linear regression models adjusted for demographics and neurodegenerative and other cerebrovascular pathologies, atherosclerosis severity was associated with a lower hippocampal to hemisphere volume ratio. In separate models, we found the effect of atherosclerosis on the ratio of hippocampal to hemisphere volume was attenuated among advanced age at death or having higher systolic blood pressure (interaction terms P≤0.03). We did not find confounding or interactions with sex, diabetes, or APOE ε4. CONCLUSIONS Atherosclerosis severity is associated with lower hippocampal volume, independent of neurodegenerative and other cerebrovascular pathologies. Higher systolic blood pressures and advanced age attenuate associations.
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Affiliation(s)
- Alifiya Kapasi
- Rush Alzheimer’s Disease CenterRush University Medical CenterChicagoIL
- Department of Pathology (Neuropathology)Rush University Medical CenterChicagoIL
| | - Ana W. Capuano
- Rush Alzheimer’s Disease CenterRush University Medical CenterChicagoIL
- Department of Neurological SciencesRush University Medical CenterChicagoIL
| | - Melissa Lamar
- Rush Alzheimer’s Disease CenterRush University Medical CenterChicagoIL
- Department of Psychiatry and Behavioral SciencesRush University Medical CenterChicagoIL
| | - Sue E. Leurgans
- Rush Alzheimer’s Disease CenterRush University Medical CenterChicagoIL
- Department of Neurological SciencesRush University Medical CenterChicagoIL
| | - Arnold M. Evia
- Rush Alzheimer’s Disease CenterRush University Medical CenterChicagoIL
| | - David A. Bennett
- Rush Alzheimer’s Disease CenterRush University Medical CenterChicagoIL
- Department of Neurological SciencesRush University Medical CenterChicagoIL
| | - Konstantinos Arfanakis
- Rush Alzheimer’s Disease CenterRush University Medical CenterChicagoIL
- Department of Biomedical EngineeringIllinois Institute of TechnologyChicagoIL
- Department of Diagnostic RadiologyRush University Medical CenterChicagoIL
| | - Julie A. Schneider
- Rush Alzheimer’s Disease CenterRush University Medical CenterChicagoIL
- Department of Pathology (Neuropathology)Rush University Medical CenterChicagoIL
- Department of Neurological SciencesRush University Medical CenterChicagoIL
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23
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Morales CD, Cotton-Samuel D, Lao PJ, Chang JF, Pyne JD, Alshikho MJ, Lippert RV, Bista K, Hale C, Edwards NC, Igwe KC, Deters K, Zimmerman ME, Brickman AM. Small vessel cerebrovascular disease is associated with cognition in prospective Alzheimer's clinical trial participants. Alzheimers Res Ther 2024; 16:25. [PMID: 38308344 PMCID: PMC10836014 DOI: 10.1186/s13195-024-01395-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/21/2024] [Indexed: 02/04/2024]
Abstract
BACKGROUND Secondary prevention clinical trials for Alzheimer's disease (AD) target amyloid accumulation in asymptomatic, amyloid-positive individuals, but it is unclear to what extent other pathophysiological processes, such as small vessel cerebrovascular disease, account for participant performance on the primary cognitive outcomes in those trials. White matter hyperintensities are areas of increased signal on T2-weighted magnetic resonance imaging (MRI) that reflect small vessel cerebrovascular disease. They are associated with cognitive functioning in older adults and with clinical presentation and course of AD, particularly when distributed in posterior brain regions. The purpose of this study was to examine to what degree regional WMH volume is associated with performance on the primary cognitive outcome measure in the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) study, a secondary prevention trial. METHODS Data from 1791 participants (59.5% women, mean age (SD) 71.6 (4.74)) in the A4 study and the Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) companion study at the screening visit were used to quantify WMH volumes on T2-weighted fluid-attenuated inversion recovery (FLAIR) MR images. Cognition was assessed with the preclinical Alzheimer cognitive composite (PACC). We tested the association of total and regional WMH volumes with PACC performance, adjusting for age, education, and amyloid positivity status, with general linear models. We also considered interactions between WMH and amyloid positivity status. RESULTS Increased frontal and parietal lobe WMH volume was associated with poorer performance on the PACC. While amyloid positivity was also associated with lower cognitive test scores, WMH volumes did not interact with amyloid positivity status. CONCLUSION These results highlight the potential of small vessel cerebrovascular disease to drive AD-related cognitive profiles. Measures of small vessel cerebrovascular disease should be considered when evaluating outcome in trials, both as potential effect modifiers and as a possible target for intervention or prevention.
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Affiliation(s)
- Clarissa D Morales
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Dejania Cotton-Samuel
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Patrick J Lao
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Julia F Chang
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Jeffrey D Pyne
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Mohamad J Alshikho
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Rafael V Lippert
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Kelsang Bista
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Christiane Hale
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Natalie C Edwards
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Kay C Igwe
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA
| | - Kacie Deters
- Department of Integrative Biology & Physiology, University of California, Los Angeles, CA, USA
| | | | - Adam M Brickman
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10032, USA.
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24
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Lamar M, Arfanakis K, Evia A, Makkinejad N, Capuano AW, Kim N, Leurgans SE, Fleischman DA, Duke Han S, Poole V, Barnes LL. Changes in an in-vivo classifier of ARTerioloSclerosis (ARTS) with simultaneous change in cognition for older African Americans. Neurobiol Aging 2024; 134:21-27. [PMID: 37979249 PMCID: PMC10845033 DOI: 10.1016/j.neurobiolaging.2023.11.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 10/30/2023] [Accepted: 11/06/2023] [Indexed: 11/20/2023]
Abstract
At autopsy, African American decedents often have mixed Alzheimer's and cerebrovascular brain pathologies including arteriolosclerosis. We applied a novel in-vivo classifier of ARTerioloSclerosis (ARTS) in 167 older African Americans (∼75y of age) with > 2 biennial 3 T MRI scans and > 3 years of associated cognitive follow-up to determine if ARTS scores (higher score=higher likelihood of arteriolosclerosis) changed over time and if this change associated with changes in cognition in the same individuals. Mixed effects regression models tested whether ARTS scores increased over time, while simultaneous mixed effects regression models estimated the simultaneous rates of change in both ARTS and cognition and the correlation of these changes. ARTS scores increased over time (estimate=0.030, SE=0.002, p < 0.0001). Faster increases in ARTS were associated with faster rates of global cognitive decline (r = -0.447, p = 0.006) and domain-specific cognitive functions. Applying an in-vivo marker of arteriolosclerosis in an African American cohort revealed that the likelihood of arteriolosclerosis increases over time, and participants whose ARTS scores increased more rapidly tended to have faster than average rates of cognitive decline.
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Affiliation(s)
- Melissa Lamar
- Rush Alzheimer's Disease Center, USA; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA.
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, 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
| | | | - Nazanin Makkinejad
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Namhee Kim
- Rush Alzheimer's Disease Center, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Debra A Fleischman
- Rush Alzheimer's Disease Center, USA; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - S Duke Han
- Rush Alzheimer's Disease Center, USA; Department of Family Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Victoria Poole
- Rush Alzheimer's Disease Center, USA; Department of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, USA; Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
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25
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Katsumata Y, Wu X, Aung KZ, Gauthreaux K, Mock C, Forrest SL, Kovacs GG, Nelson PT. Pathologic correlates of aging-related tau astrogliopathy: ARTAG is associated with LATE-NC and cerebrovascular pathologies, but not with ADNC. Neurobiol Dis 2024; 191:106412. [PMID: 38244935 PMCID: PMC10892903 DOI: 10.1016/j.nbd.2024.106412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 01/22/2024] Open
Abstract
Age-related tau astrogliopathy (ARTAG) is detectable in the brains of over one-third of autopsied persons beyond age 80, but the pathoetiology of ARTAG is poorly understood. Insights can be gained by analyzing risk factors and comorbid pathologies. Here we addressed the question of which prevalent co-pathologies are observed with increased frequency in brains with ARTAG. The study sample was the National Alzheimer's Coordinating Center (NACC) data set, derived from multiple Alzheimer's disease research centers (ADRCs) in the United States. Data from persons with unusual conditions (e.g. frontotemporal dementia) were excluded leaving 504 individual autopsied research participants, clustering from 20 different ADRCs, autopsied since 2020; ARTAG was reported in 222 (44.0%) of included participants. As has been shown previously, ARTAG was increasingly frequent with older age and in males. The presence and severity of other common subtypes of pathology that were previously linked to dementia were analyzed, stratifying for the presence of ARTAG. In logistical regression-based statistical models that included age and sex as covariates, ARTAG was relatively more likely to be found in brains with limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC), and in brains with comorbid cerebrovascular pathology (arteriolosclerosis and/or brain infarcts). However, ARTAG was not associated with severe Alzheimer's disease neuropathologic change (ADNC), or primary age-related tauopathy (PART). In a subset analysis of 167 participants with neurocognitive testing data, there was a marginal trend for ARTAG pathology to be associated with cognitive impairment as assessed with MMSE scores (P = 0.07, adjusting for age, sex, interval between final clinic visit and death, and ADNC severity). A limitation of the study was that there were missing data about ARTAG pathologies, with incomplete operationalization of ARTAG according to anatomic region and pathologic subtypes (e.g., thorn-shaped or granular-fuzzy astrocytes). In summary, ARTAG was not associated with ADNC, whereas prior observations about ARTAG occurring with increased frequency in aging, males, and brains with LATE-NC were replicated. It remains to be determined whether the increased frequency of ARTAG in brains with comorbid cerebrovascular pathology is related to local infarctions or neuroinflammatory signaling, or with some other set of correlated factors including blood-brain barrier dysfunction.
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Affiliation(s)
- Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Biostatistics, University of Kentucky, Lexington, KY 40506, United States of America
| | - Xian Wu
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Biostatistics, University of Kentucky, Lexington, KY 40506, United States of America
| | - Khine Zin Aung
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Biostatistics, University of Kentucky, Lexington, KY 40506, United States of America
| | - Kathryn Gauthreaux
- National Alzheimer's Coordinating Center, Department of Epidemiology, University of Washington, Seattle, WA 98105, United States of America
| | - Charles Mock
- National Alzheimer's Coordinating Center, Department of Epidemiology, University of Washington, Seattle, WA 98105, United States of America
| | - Shelley L Forrest
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Canada; Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Canada
| | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, Canada; Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Canada
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40506, United States of America; Department of Pathology, Division of Neuropathology, University of Kentucky, Lexington, KY, United States of America.
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26
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Krefman AE, Stephen J, Carolan P, Sedaghat S, Mansolf M, Soumare A, Gross AL, Aiello AE, Singh-Manoux A, Ikram MA, Helmer C, Tzourio C, Satizabal C, Levine DA, Lloyd-Jones D, Briceño EM, Sorond FA, Wolters FJ, Himali J, Launer LJ, Zhao L, Haan M, Lopez OL, Debette S, Seshadri S, Judd SE, Hughes TM, Gudnason V, Scholtens D, Allen NB. Cohort Profile: Dementia Risk Prediction Project (DRPP). Int J Epidemiol 2024; 53:dyae012. [PMID: 38339864 PMCID: PMC10858348 DOI: 10.1093/ije/dyae012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 01/18/2024] [Indexed: 02/12/2024] Open
Affiliation(s)
- Amy E Krefman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - John Stephen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Padraig Carolan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sanaz Sedaghat
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Maxwell Mansolf
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Aïcha Soumare
- UMR1219 Bordeaux Population Health Center (Team VINTAGE), INSERM-University of Bordeaux, Bordeaux, France
| | - Alden L Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Allison E Aiello
- Robert N Butler Columbia Aging Center and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Archana Singh-Manoux
- Université Paris Cité, Inserm U1153, Epidemiology of Ageing and Neurodegenerative Diseases, Paris, France
- Department of Epidemiology and Public Health, University College London, London, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Catherine Helmer
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France
| | - Christophe Tzourio
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France
| | - Claudia Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases and Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA
- The Framingham Heart Study, Framingham, MA, USA
| | - Deborah A Levine
- Department of Internal Medicine and Cognitive Health Services Research Program, University of Michigan, Ann Arbor, MI, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emily M Briceño
- Department of Physical Medicine & Rehabilitation, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Farzaneh A Sorond
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Frank J Wolters
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Departments of Radiology & Nuclear Medicine, and Alzheimer Centre Erasmus MC, Erasmus MC University Medical Centre, Rotterdam, The Netherlands
| | - Jayandra Himali
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases and Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA
- The Framingham Heart Study, Framingham, MA, USA
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Lihui Zhao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Mary Haan
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Oscar L Lopez
- Departments of Neurology and Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Stéphanie Debette
- UMR1219 Bordeaux Population Health Center (Team VINTAGE), INSERM-University of Bordeaux, Bordeaux, France
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases and Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA
- The Framingham Heart Study, Framingham, MA, USA
| | - Suzanne E Judd
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Timothy M Hughes
- Departments of Internal Medicine and Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Denise Scholtens
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Norrina B Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Rebello CJ. Triglyceride-Glucose Index and Cognitive Impairment: Is Cerebral Microvascular Pathology a Link? Am J Geriatr Psychiatry 2024; 32:163-165. [PMID: 37951818 PMCID: PMC10911067 DOI: 10.1016/j.jagp.2023.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 09/25/2023] [Indexed: 11/14/2023]
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Saltiel N, Tripodis Y, Menzin T, Olaniyan A, Baucom Z, Yhang E, Palmisano JN, Martin B, Uretsky M, Nair E, Abdolmohammadi B, Shah A, Nicks R, Nowinski C, Cantu RC, Daneshvar DH, Dwyer B, Katz DI, Stern RA, Alvarez V, Huber B, Boyle PA, Schneider JA, Mez J, McKee A, Alosco ML, Stein TD. Relative Contributions of Mixed Pathologies to Cognitive and Functional Symptoms in Brain Donors Exposed to Repetitive Head Impacts. Ann Neurol 2024; 95:314-324. [PMID: 37921042 PMCID: PMC10842014 DOI: 10.1002/ana.26823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 10/12/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023]
Abstract
OBJECTIVE Exposure to repetitive head impacts (RHI) is associated with later-life cognitive symptoms and neuropathologies, including chronic traumatic encephalopathy (CTE). Cognitive decline in community cohorts is often due to multiple pathologies; however, the frequency and contributions of these pathologies to cognitive impairment in people exposed to RHI are unknown. Here, we examined the relative contributions of 13 neuropathologies to cognitive symptoms and dementia in RHI-exposed brain donors. METHODS Neuropathologists examined brain tissue from 571 RHI-exposed donors and assessed for the presence of 13 neuropathologies, including CTE, Alzheimer disease (AD), Lewy body disease (LBD), and transactive response DNA-binding protein 43 (TDP-43) inclusions. Cognitive status was assessed by presence of dementia, Functional Activities Questionnaire, and Cognitive Difficulties Scale. Spearman rho was calculated to assess intercorrelation of pathologies. Additionally, frequencies of pathological co-occurrence were compared to a simulated distribution assuming no intercorrelation. Logistic and linear regressions tested associations between neuropathologies and dementia status and cognitive scale scores. RESULTS The sample age range was 18-97 years (median = 65.0, interquartile range = 46.0-76.0). Of the donors, 77.2% had at least one moderate-severe neurodegenerative or cerebrovascular pathology. Stage III-IV CTE was the most common neurodegenerative disease (43.1%), followed by TDP-43 pathology, AD, and hippocampal sclerosis. Neuropathologies were intercorrelated, and there were fewer unique combinations than expected if pathologies were independent (p < 0.001). The greatest contributors to dementia were AD, neocortical LBD, hippocampal sclerosis, cerebral amyloid angiopathy, and CTE. INTERPRETATION In this sample of RHI-exposed brain donors with wide-ranging ages, multiple neuropathologies were common and correlated. Mixed neuropathologies, including CTE, underlie cognitive impairment in contact sport athletes. ANN NEUROL 2024;95:314-324.
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Affiliation(s)
- Nicole Saltiel
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
| | - Yorghos Tripodis
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Talia Menzin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Aliyah Olaniyan
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Zach Baucom
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Eukyung Yhang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Joseph N. Palmisano
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Brett Martin
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Madeline Uretsky
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Evan Nair
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Bobak Abdolmohammadi
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Arsal Shah
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
| | - Raymond Nicks
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
| | | | - Robert C. Cantu
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Concussion Legacy Foundation, Boston, MA, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurosurgery, Emerson Hospital, Concord, MA, USA
| | - Daniel H. Daneshvar
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Brigid Dwyer
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Douglas I. Katz
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Robert A. Stern
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Victor Alvarez
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
- National Center for PTSD, VA Boston Healthcare System, Jamaica Plain, MA, USA
| | - Bertrand Huber
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- National Center for PTSD, VA Boston Healthcare System, Jamaica Plain, MA, USA
| | - Patricia A. Boyle
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Jesse Mez
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ann McKee
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Michael L. Alosco
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Thor D. Stein
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
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Hainsworth AH, Markus HS, Schneider JA. Cerebral Small Vessel Disease, Hypertension, and Vascular Contributions to Cognitive Impairment and Dementia. Hypertension 2024; 81:75-86. [PMID: 38044814 PMCID: PMC10734789 DOI: 10.1161/hypertensionaha.123.19943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Hypertension-associated cerebral small vessel disease is a common finding in older people. Strongly associated with age and hypertension, small vessel disease is found at autopsy in over 50% of people aged ≥65 years, with a spectrum of clinical manifestations. It is the main cause of lacunar stroke and a major source of vascular contributions to cognitive impairment and dementia. The brain areas affected are subcortical and periventricular white matter and deep gray nuclei. Neuropathological sequelae are diffuse white matter lesions (seen as white matter hyperintensities on T2-weighted magnetic resonance imaging), small ischemic foci (lacunes or microinfarcts), and less commonly, subcortical microhemorrhages. The most common form of cerebral small vessel disease is concentric, fibrotic thickening of small penetrating arteries (up to 300 microns outer diameter) termed arteriolosclerosis. Less common forms are small artery atheroma and lipohyalinosis (the lesions described by C. Miller Fisher adjacent to lacunes). Other microvascular lesions that are not reviewed here include cerebral amyloid angiopathy and venous collagenosis. Here, we review the epidemiology, neuropathology, clinical management, genetics, preclinical models, and pathogenesis of hypertensive small vessel disease. Knowledge gaps include initiating factors, molecular pathogenesis, relationships between arterial pathology and tissue damage, possible reversibility, pharmacological targets, and molecular biomarkers. Progress is anticipated from multicell transcriptomic and proteomic profiling, novel experimental models and further target-finding and interventional clinical studies.
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Affiliation(s)
- Atticus H. Hainsworth
- Molecular and Clinical Sciences Research Institute, St George’s University of London, United Kingdom (A.H.H.)
- Department of Neurology, St George’s University Hospitals NHS Foundation Trust, London, United Kingdom (A.H.H.)
| | - Hugh S. Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom (H.S.M.)
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Departments of Pathology and Neurological Sciences, Rush University Medical Center, Chicago, IL (J.A.S.)
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Zhang Z, Lim MJR. Incident Dementia After Spontaneous Intracerebral Hemorrhage. J Alzheimers Dis 2024; 99:41-51. [PMID: 38640161 DOI: 10.3233/jad-240111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2024]
Abstract
Post-stroke cognitive impairment and dementia (PSCID) is a complication that affects long-term functional outcomes after stroke. Studies on dementia after long-term follow-up in stroke have focused predominantly on ischemic stroke, which may be different from the development of dementia after spontaneous intracerebral hemorrhage (ICH). In this review, we summarize the existing data and hypotheses on the development of dementia after spontaneous ICH, review the management of post-ICH dementia, and suggest areas for future research. Dementia after spontaneous ICH has a cumulative incidence of up to 32.0-37.4% at 5 years post-ICH. Although the pathophysiology of post-ICH dementia has not been fully understood, two main theoretical frameworks can be considered: 1) the triggering role of ICH (both primary and secondary brain injury) in precipitating cognitive decline and dementia; and 2) the contributory role of pre-existing brain pathology (including small vessel disease and neurodegenerative pathology), reduced cognitive reserve, and genetic factors predisposing to cognitive dysfunction. These pathophysiological pathways may have synergistic effects that converge on dysfunction of the neurovascular unit and disruptions in functional connectivity leading to dementia post-ICH. Management of post-ICH dementia may include screening and monitoring, cognitive therapy, and pharmacotherapy. Non-invasive brain stimulation is an emerging therapeutic modality under investigation for safety and efficacy. Our review highlights that there remains a paucity of data and standardized reporting on incident dementia after spontaneous ICH. Further research is imperative for determining the incidence, risk factors, and pathophysiology of post-ICH dementia, in order to identify new therapies for the treatment of this debilitating condition.
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Affiliation(s)
- Zheting Zhang
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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Tosun D, Yardibi O, Benzinger TLS, Kukull WA, Masters CL, Perrin RJ, Weiner MW, Simen A, Schwarz AJ. Identifying individuals with non-Alzheimer's disease co-pathologies: A precision medicine approach to clinical trials in sporadic Alzheimer's disease. Alzheimers Dement 2024; 20:421-436. [PMID: 37667412 PMCID: PMC10843695 DOI: 10.1002/alz.13447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 07/14/2023] [Accepted: 08/04/2023] [Indexed: 09/06/2023]
Abstract
INTRODUCTION Biomarkers remain mostly unavailable for non-Alzheimer's disease neuropathological changes (non-ADNC) such as transactive response DNA-binding protein 43 (TDP-43) proteinopathy, Lewy body disease (LBD), and cerebral amyloid angiopathy (CAA). METHODS A multilabel non-ADNC classifier using magnetic resonance imaging (MRI) signatures was developed for TDP-43, LBD, and CAA in an autopsy-confirmed cohort (N = 214). RESULTS A model using demographic, genetic, clinical, MRI, and ADNC variables (amyloid positive [Aβ+] and tau+) in autopsy-confirmed participants showed accuracies of 84% for TDP-43, 81% for LBD, and 81% to 93% for CAA, outperforming reference models without MRI and ADNC biomarkers. In an ADNI cohort (296 cognitively unimpaired, 401 mild cognitive impairment, 188 dementia), Aβ and tau explained 33% to 43% of variance in cognitive decline; imputed non-ADNC explained an additional 16% to 26%. Accounting for non-ADNC decreased the required sample size to detect a 30% effect on cognitive decline by up to 28%. DISCUSSION Our results lead to a better understanding of the factors that influence cognitive decline and may lead to improvements in AD clinical trial design.
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Affiliation(s)
- Duygu Tosun
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Ozlem Yardibi
- Takeda Pharmaceutical Company LtdCambridgeMassachusettsUSA
| | | | - Walter A. Kukull
- Department of EpidemiologyNational Alzheimer's Coordinating CenterUniversity of WashingtonSeattleWashingtonUSA
| | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneParkvilleVictoriaAustralia
| | - Richard J. Perrin
- Department of Pathology & ImmunologyWashington University in St. LouisSt. LouisMissouriUSA
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Michael W. Weiner
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Arthur Simen
- Takeda Pharmaceutical Company LtdCambridgeMassachusettsUSA
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Wu LY, Chong JR, Chong JPC, Hilal S, Venketasubramanian N, Tan BY, Richards AM, Chen CP, Lai MKP. Serum Placental Growth Factor as a Marker of Cerebrovascular Disease Burden in Alzheimer's Disease. J Alzheimers Dis 2024; 97:1289-1298. [PMID: 38217598 DOI: 10.3233/jad-230811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2024]
Abstract
BACKGROUND Concomitant cerebrovascular diseases (CeVD) have been identified as an important determinant of Alzheimer's disease (AD) progression. Development of robust blood-based biomarkers will provide critical tools to evaluate prognosis and potential interventional strategies for AD with CeVD. OBJECTIVE This study investigated circulating placental growth factor (PlGF), a potent pro-angiogenic factor related to endothelial dysfunction and vascular inflammation, in an Asian memory clinic cohort of non-demented individuals as well as AD, including its associations with neuroimaging markers of CeVD. METHODS 109 patients with AD, 76 cognitively impaired with no dementia (CIND), and 56 non-cognitively impaired (NCI) were included in this cross-sectional study. All subjects underwent 3T brain magnetic resonance imaging to assess white matter hyperintensities (WMH), lacunes, cortical infarcts, and cerebral microbleeds (CMBs). Serum PlGF concentrations were measured by electrochemiluminescence immunoassays. RESULTS Serum PlGF was elevated in AD, but not CIND, compared to the NCI controls. Adjusted concentrations of PlGF were associated with AD only in the presence of significant CeVD. Elevated PlGF was significantly associated with higher burden of WMH and with CMBs in AD patients. CONCLUSIONS Serum PlGF has potential utility as a biomarker for the presence of CeVD, specifically WMH and CMBs, in AD. Further studies are needed to elucidate the underlying pathophysiological mechanisms linking PlGF to CeVD, as well as to further assess PlGF's clinical utility.
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Affiliation(s)
- Liu-Yun Wu
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Memory Aging and Cognition Centre, National University Health System, Singapore
| | - Joyce R Chong
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Memory Aging and Cognition Centre, National University Health System, Singapore
| | - Jenny P C Chong
- Cardiovascular Research Institute, National University Heart Centre, Singapore
| | - Saima Hilal
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Memory Aging and Cognition Centre, National University Health System, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | | | | | - Arthur Mark Richards
- Cardiovascular Research Institute, National University Heart Centre, Singapore
- Department of Medicine, National University Health System, Singapore
| | - Christopher P Chen
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Memory Aging and Cognition Centre, National University Health System, Singapore
| | - Mitchell K P Lai
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Memory Aging and Cognition Centre, National University Health System, Singapore
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Andriuta D, Wiener E, Perron A, Ouin E, Masmoudi I, Thibaut W, Martin J, Roussel M, Constans JM, Aarabi A, Godefroy O. Neuroimaging determinants of cognitive impairment in the memory clinic: how important is the vascular burden? J Neurol 2024; 271:504-518. [PMID: 37777991 DOI: 10.1007/s00415-023-12009-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 10/03/2023]
Abstract
While neurodegenerative and vascular neurocognitive disorder (NCD) often co-occur, the contribution of vascular lesions, especially stroke lesions identified on MRI, to global cognition in a real-life memory clinic population remains unclear. The main objective of this retrospective study was to determine NCD neuroimaging correlates: the GM atrophy pattern and vascular lesions (especially stroke lesion localization by voxel-based lesion-symptom mapping, VLSM) in a memory clinic. We included 336 patients with mild or major NCD who underwent cerebral MRI and a neuropsychological assessment. The GM atrophy pattern (obtained by voxel-based morphometry, VBM) and the stroke lesion localization (obtained by VLSM) associated with G5 z-score (a global cognitive score), were included as independent variables with other neuroimaging and clinical indices in a stepwise linear regression model. The mean age was 70.3 years and the mean MMSE score 21.3. On MRI, 75 patients had at least one stroke lesion. The G 5 z-score was associated with GM density in the pattern selected by the VBM analysis (R2 variation = 0.166, p < 0.001) and the presence of a stroke lesion in the region selected by the VSLM analysis (mainly in the right frontal region; R2 variation = 0.018, p = 0.008). The interaction between the two factors was insignificant (p = 0.374). In conclusion, in this first study combining VBM and VLSM analysis in a memory clinic, global cognition was associated with a specific GM atrophy pattern and the presence of a stroke lesion mainly in the right frontal region.
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Affiliation(s)
- Daniela Andriuta
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France.
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France.
| | - Emmanuel Wiener
- Department of Neurology, Versailles - Le Chesnay Medical Center, Le Chesnay-Rocquencourt, France
| | - Alexandre Perron
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
| | - Elisa Ouin
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
| | - Ines Masmoudi
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
| | - William Thibaut
- Department of Neurology, La Reunion University Medical Center, Site South Saint-Pierre, Saint-Pierre, La Reunion, France
| | - Jeanne Martin
- Department of Neurology, Bretagne Atlantique Medical Center, Vannes, France
| | - Martine Roussel
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
| | - Jean-Marc Constans
- Department of Radiology, Amiens University Medical Center, Amiens, France
| | - Ardalan Aarabi
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
| | - Olivier Godefroy
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
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Paolillo EW, Saloner R, VandeBunte A, Lee S, Bennett DA, Casaletto KB. Multimodal lifestyle engagement patterns support cognitive stability beyond neuropathological burden. Alzheimers Res Ther 2023; 15:221. [PMID: 38111051 PMCID: PMC10726589 DOI: 10.1186/s13195-023-01365-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 12/03/2023] [Indexed: 12/20/2023]
Abstract
BACKGROUND Modifiable lifestyle behaviors account for a large proportion of dementia risk. However, the combined contributions of multidomain lifestyle patterns to cognitive aging are poorly understood, as most studies have examined individual lifestyle behaviors in isolation and without neuropathological characterization. This study examined data-driven patterns of lifestyle behaviors across multiple domains among older adults and tested their associations with disease-specific neuropathological burden and cognitive decline. METHODS Participants included 2059 older adults enrolled in the longitudinal Memory and Aging Project (MAP) at the Rush Alzheimer's Disease Center; none of whom had dementia at baseline (73% no cognitive impairment (NCI), 27% mild cognitive impairment [MCI]). All participants completed cognitive testing annually. Lifestyle factors were measured during at least one visit and included (1) actigraphy-measured physical activity, as well as self-reported (2) sleep quality, (3) life space, (4) cognitive activities, (5) social activities, and (6) social network. A subset of participants (n = 791) had autopsy data for which burden of Alzheimer's disease (AD), cerebrovascular disease (CVD), Lewy body disease, and hippocampal sclerosis/TDP-43 was measured. Latent profile analysis across all 2059 participants identified distinct subgroups (i.e., classes) of lifestyle patterns. Linear mixed-effects models examined relationships between lifestyle classes and global cognitive trajectories, with and without covarying for all neuropathologies. Classes were also compared on rates of incident MCI/dementia. RESULTS Five classes were identified: Class 1Low Life Space (lowest lifestyle engagement), Class 2PA (high physical activity), Class 3Low Avg (low to average lifestyle engagement), Class 4Balanced (high average lifestyle engagement), and Class 5Social (large social network). Classes 4Balanced and 5Social had the lowest AD burden, and Class 2PA had the lowest CVD burden. Classes 2-5 had significantly less steep global cognitive decline compared to Class 1Low Life Space, with comparable effect sizes before and after covarying for neuropathological burden. Classes 4Balanced and 5Social exhibited the lowest rates of incident MCI/dementia. CONCLUSIONS Lifestyle behavior patterns among older adults account for differential rates of cognitive decline and clinical progression. Those with at least average engagement across all lifestyle domains exhibit greater cognitive stability after adjustment for neuropathology, highlighting the importance of engagement in multiple healthy lifestyle behaviors for later life cognitive health.
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Affiliation(s)
- Emily W Paolillo
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA.
| | - Rowan Saloner
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA
| | - Anna VandeBunte
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA
| | - Shannon Lee
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA
| | - David A Bennett
- Department of Neurological Sciences, Rush Medical College, Chicago, IL, USA
| | - Kaitlin B Casaletto
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA
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Chun MY, Jang H, Kim SJ, Park YH, Yun J, Lockhart SN, Weiner M, De Carli C, Moon SH, Choi JY, Nam KR, Byun BH, Lim SM, Kim JP, Choe YS, Kim YJ, Na DL, Kim HJ, Seo SW. Emerging role of vascular burden in AT(N) classification in individuals with Alzheimer's and concomitant cerebrovascular burdens. J Neurol Neurosurg Psychiatry 2023; 95:44-51. [PMID: 37558399 PMCID: PMC10803958 DOI: 10.1136/jnnp-2023-331603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/22/2023] [Indexed: 08/11/2023]
Abstract
OBJECTIVES Alzheimer's disease (AD) is characterised by amyloid-beta accumulation (A), tau aggregation (T) and neurodegeneration (N). Vascular (V) burden has been found concomitantly with AD pathology and has synergistic effects on cognitive decline with AD biomarkers. We determined whether cognitive trajectories of AT(N) categories differed according to vascular (V) burden. METHODS We prospectively recruited 205 participants and classified them into groups based on the AT(N) system using neuroimaging markers. Abnormal V markers were identified based on the presence of severe white matter hyperintensities. RESULTS In A+ category, compared with the frequency of Alzheimer's pathological change category (A+T-), the frequency of AD category (A+T+) was significantly lower in V+ group (31.8%) than in V- group (64.4%) (p=0.004). Each AT(N) biomarker was predictive of cognitive decline in the V+ group as well as in the V- group (p<0.001). Additionally, the V+ group showed more severe cognitive trajectories than the V- group in the non-Alzheimer's pathological changes (A-T+, A-N+; p=0.002) and Alzheimer's pathological changes (p<0.001) categories. CONCLUSION The distribution and longitudinal outcomes of AT(N) system differed according to vascular burdens, suggesting the importance of incorporating a V biomarker into the AT(N) system.
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Affiliation(s)
- Min Young Chun
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- Department of Neurology, Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Samsung Alzheimer's Convergence Research Center, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Soo-Jong Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea
| | - Yu Hyun Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea
| | - Jihwan Yun
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
| | - Samuel N Lockhart
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Michael Weiner
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA
| | - Charles De Carli
- Department of Neurology, University of California-Davis, Davis, California, USA
| | - Seung Hwan Moon
- Departmentof Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jae Yong Choi
- Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea
| | - Kyung Rok Nam
- Division of Applied RI, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea
| | - Byung-Hyun Byun
- Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea
| | - Sang-Moo Lim
- Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Samsung Alzheimer's Convergence Research Center, Samsung Medical Center, Seoul, South Korea
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Yeong Sim Choe
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
| | - Young Ju Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Samsung Alzheimer's Convergence Research Center, Samsung Medical Center, Seoul, South Korea
- Cell and Gene Therapy Institute (CGTI), Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Samsung Alzheimer's Convergence Research Center, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Samsung Alzheimer's Convergence Research Center, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea
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Tomoto T, Zhang R. Arterial Aging and Cerebrovascular Function: Impact of Aerobic Exercise Training in Older Adults. Aging Dis 2023:AD.2023.1109-1. [PMID: 38270114 DOI: 10.14336/ad.2023.1109-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/09/2023] [Indexed: 01/26/2024] Open
Abstract
Advanced age is the major risk factor for dementia including Alzheimer's disease. The clinical effects of recently developed anti-amyloid therapy for Alzheimer's disease were modest and the long-term outcome is unknown. Thus, an in-depth understanding of the mechanisms of brain aging is essential to develop preventive interventions to maintain cognitive health in late life. Mounting evidence suggests that arterial aging manifested as increases in central arterial stiffness is associated closely with cerebrovascular dysfunction and brain aging while improvement of cerebrovascular function with aerobic exercise training contributes to brain health in older adults. We summarized evidence in this brief review that 1) increases in central arterial stiffness and arterial pulsation with age are associated with increases in cerebrovascular resistance, reduction in cerebral blood flow, and cerebrovascular dysfunction, 2) aerobic exercise training improves cerebral blood flow by modifying arterial aging as indicated by reductions in cerebrovascular resistance, central arterial stiffness, arterial pulsation, and improvement in cerebrovascular function, and 3) improvement in cerebral blood flow and cerebrovascular function with aerobic exercise training may lead to improvement in cognitive function. These findings highlight the associations between arterial aging and cerebrovascular function and the importance of aerobic exercise in maintaining brain health in older adults.
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Affiliation(s)
- Tsubasa Tomoto
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, Dallas, Texas, USA
- Departments of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Rong Zhang
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital Dallas, Dallas, Texas, USA
- Departments of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Biomedical Engineering, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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Lee YG, Jeon S, Kang SW, Ye BS. Effects of amyloid beta and dopaminergic depletion on perfusion and clinical symptoms. Alzheimers Dement 2023; 19:5719-5729. [PMID: 37422287 DOI: 10.1002/alz.13379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/23/2023] [Accepted: 06/07/2023] [Indexed: 07/10/2023]
Abstract
INTRODUCTION Although mixed pathologies are common in Alzheimer's disease (AD) and dementia with Lewy bodies (DLB), the effects of amyloid beta and dopaminergic depletion on brain perfusion and clinical symptoms have not been elucidated. METHODS In 99 cognitive impairment patients due to AD and/or DLB and 32 controls, 18F-florbetaben (FBB) and dual-phase dopamine transporter (DAT) positron emission tomography (PET) were performed to measure the FBB standardized uptake value ratio (SUVR), striatal DAT uptakes, and brain perfusion. RESULTS Higher FBB-SUVR and lower ventral striatal DAT uptake were intercorrelated and, respectively, associated with left entorhinal/temporo-parietal-centered hypoperfusion and vermis/hippocampal-centered hyperperfusion, whereas regional perfusion mediated clinical symptoms and cognition. DISCUSSION Amyloid beta deposition and striatal dopaminergic depletion contribute to regional perfusion changes, clinical symptoms, and cognition in the spectrum of normal aging and cognitive impairment due to AD and/or LBD. HIGHLIGHTS Amyloid beta (Aβ) deposition was associated with ventral striatal dopaminergic depletion. Aβ deposition and dopaminergic depletion correlated with perfusion. Aβ deposition correlated with hypoperfusion centered in the left entorhinal cortex. Dopaminergic depletion correlated with hyperperfusion centered in the vermis. Perfusion mediated the Aβ deposition/dopaminergic depletion's effects on cognition.
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Affiliation(s)
- Young-Gun Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- Department of Neurology, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, South Korea
| | - Seun Jeon
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- Brain Research Institute, Yonsei University College of Medicine, Seoul, South Korea
- Metabolism-Dementia Research Institute, Yonsei University College of Medicine, Seoul, South Korea
| | - Sung Woo Kang
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Byoung Seok Ye
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- Metabolism-Dementia Research Institute, Yonsei University College of Medicine, Seoul, South Korea
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Cavaillès C, Andrews SJ, Leng Y, Chatterjee A, Daghlas I, Yaffe K. Causal Associations of Sleep Apnea with Alzheimer's Disease and Cardiovascular Disease: a Bidirectional Mendelian Randomization Analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.20.23298793. [PMID: 38045267 PMCID: PMC10690337 DOI: 10.1101/2023.11.20.23298793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Background Sleep apnea (SA) has been linked to an increased risk of dementia in numerous observational studies; whether this is driven by neurodegenerative, vascular or other mechanisms is not clear. We sought to examine the bidirectional causal relationships between SA, Alzheimer's disease (AD), coronary artery disease (CAD), and ischemic stroke using Mendelian randomization (MR). Methods Using summary statistics from four recent, large genome-wide association studies of SA (n=523,366), AD (n=64,437), CAD (n=1,165,690), and stroke (n=1,308,460), we conducted bidirectional two-sample MR analyses. Our primary analytic method was fixed-effects inverse variance weighted MR; diagnostics tests and sensitivity analyses were conducted to verify the robustness of the results. Results We identified a significant causal effect of SA on the risk of CAD (odds ratio (OR IVW ) =1.35 per log-odds increase in SA liability, 95% confidence interval (CI) =1.25-1.47) and stroke (OR IVW =1.13, 95% CI =1.01-1.25). These associations were somewhat attenuated after excluding single-nucleotide polymorphisms associated with body mass index (BMI) (OR IVW =1.26, 95% CI =1.15-1.39 for CAD risk; OR IVW =1.08, 95% CI =0.96-1.22 for stroke risk). SA was not causally associated with a higher risk of AD (OR IVW =1.14, 95% CI =0.91-1.43). We did not find causal effects of AD, CAD, or stroke on risk of SA. Conclusions These results suggest that SA increased the risk of CAD, and the identified causal association with stroke risk may be confounded by BMI. Moreover, no causal effect of SA on AD risk was found. Future studies are warranted to investigate cardiovascular pathways between sleep disorders, including SA, and dementia.
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Yu M, Feng L, Zhao X, Huang Q, Xia N, Xia H, Wen C, Wang M, Zhu Z, Yang Y. The interaction of global small vessel disease burden and Alzheimer's disease pathologies do not change the independent association of amyloid-beta with hippocampal volume: A longitudinal study on mild cognitive impairment subjects. Hippocampus 2023; 33:1197-1207. [PMID: 37638636 DOI: 10.1002/hipo.23573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 08/04/2023] [Accepted: 08/13/2023] [Indexed: 08/29/2023]
Abstract
The purpose of this study was to investigate whether the co-existence of global small vessel disease (SVD) burdens and Alzheimer's disease (AD) pathologies change hippocampal volume (HV) and cognitive function of mild cognitive impairment (MCI) subjects. We obtained MRI images, cerebrospinal fluid biomarkers (Aβ1-42 and p-tau), and neuropsychological tests of 310 MCI subjects from ADNI. The global SVD score was assessed. We used linear regression and linear mixing effect to analyze the effects of global SVD burdens, AD pathologies, and their interactions (SVD*AD) on baseline and longitudinal HV and cognition respectively. We used simple mediation effect to analyze the influencing pathways. After adjusting for global SVD and SVD*AD, Aβ remained independently correlated with baseline and longitudinal HV (std β = 0.294, p = .007; std β = 0.292, p < .001), indicating that global SVD did not affect the correlation between Aβ and HV. Global SVD score was correlated with longitudinal but not baseline HV (std β = 0.470, p = .050), suggesting that global SVD may be more representative of long-term permanent impairment. Global SVD, AD pathologies, and SVD*AD were independently correlated with baseline and longitudinal cognitions, in which the association of Aβ (B = 0.005, 95% CI: 0.005; 0.024) and p-tau (B = -0.002, 95% CI: -0.004; -0.000) with cognition were mediated by HV, suggesting that HV is more likely to explain the progression caused by AD pathology than SVD. The co-existence of global SVD and AD pathologies did not affect the individual association of Aβ on HV; HV played a more important role in the influence of AD pathology on cognition than in SVD.
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Affiliation(s)
- Mengying Yu
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
| | - Lufei Feng
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
- Department of Radiology, Zhuji Central Hospital, Zhejiang, China
| | - Xuemiao Zhao
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
| | - Qun Huang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
| | - Nengzhi Xia
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
| | - Huwei Xia
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
| | - Caiyun Wen
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
| | - Meihao Wang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
| | - Zili Zhu
- Department of Imaging, Ningbo City First Hospital, Zhejiang, China
| | - Yunjun Yang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
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Parent O, Bussy A, Devenyi GA, Dai A, Costantino M, Tullo S, Salaciak A, Bedford S, Farzin S, Béland ML, Valiquette V, Villeneuve S, Poirier J, Tardif CL, Dadar M, Chakravarty MM. Assessment of white matter hyperintensity severity using multimodal magnetic resonance imaging. Brain Commun 2023; 5:fcad279. [PMID: 37953840 PMCID: PMC10636521 DOI: 10.1093/braincomms/fcad279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/05/2023] [Accepted: 10/17/2023] [Indexed: 11/14/2023] Open
Abstract
White matter hyperintensities are radiological abnormalities reflecting cerebrovascular dysfunction detectable using MRI. White matter hyperintensities are often present in individuals at the later stages of the lifespan and in prodromal stages in the Alzheimer's disease spectrum. Tissue alterations underlying white matter hyperintensities may include demyelination, inflammation and oedema, but these are highly variable by neuroanatomical location and between individuals. There is a crucial need to characterize these white matter hyperintensity tissue alterations in vivo to improve prognosis and, potentially, treatment outcomes. How different MRI measure(s) of tissue microstructure capture clinically-relevant white matter hyperintensity tissue damage is currently unknown. Here, we compared six MRI signal measures sampled within white matter hyperintensities and their associations with multiple clinically-relevant outcomes, consisting of global and cortical brain morphometry, cognitive function, diagnostic and demographic differences and cardiovascular risk factors. We used cross-sectional data from 118 participants: healthy controls (n = 30), individuals at high risk for Alzheimer's disease due to familial history (n = 47), mild cognitive impairment (n = 32) and clinical Alzheimer's disease dementia (n = 9). We sampled the median signal within white matter hyperintensities on weighted MRI images [T1-weighted (T1w), T2-weighted (T2w), T1w/T2w ratio, fluid-attenuated inversion recovery (FLAIR)] as well as the relaxation times from quantitative T1 (qT1) and T2* (qT2*) images. qT2* and fluid-attenuated inversion recovery signals within white matter hyperintensities displayed different age- and disease-related trends compared to normal-appearing white matter signals, suggesting sensitivity to white matter hyperintensity-specific tissue deterioration. Further, white matter hyperintensity qT2*, particularly in periventricular and occipital white matter regions, was consistently associated with all types of clinically-relevant outcomes in both univariate and multivariate analyses and across two parcellation schemes. qT1 and fluid-attenuated inversion recovery measures showed consistent clinical relationships in multivariate but not univariate analyses, while T1w, T2w and T1w/T2w ratio measures were not consistently associated with clinical variables. We observed that the qT2* signal was sensitive to clinically-relevant microstructural tissue alterations specific to white matter hyperintensities. Our results suggest that combining volumetric and signal measures of white matter hyperintensity should be considered to fully characterize the severity of white matter hyperintensities in vivo. These findings may have implications in determining the reversibility of white matter hyperintensities and the potential efficacy of cardio- and cerebrovascular treatments.
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Affiliation(s)
- Olivier Parent
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec H3A 1A1, Canada
| | - Aurélie Bussy
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec H3A 1A1, Canada
| | - Gabriel Allan Devenyi
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec H3A 1A1, Canada
| | - Alyssa Dai
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec H3A 1A1, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec H3A 2B4, Canada
| | - Manuela Costantino
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
| | - Stephanie Tullo
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec H3A 1A1, Canada
| | - Alyssa Salaciak
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
| | - Saashi Bedford
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec H3A 1A1, Canada
| | - Sarah Farzin
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
| | - Marie-Lise Béland
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
| | - Vanessa Valiquette
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec H3A 1A1, Canada
| | - Sylvia Villeneuve
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec H3A 1A1, Canada
- Center for the Studies in the Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec H3A 2B4, Canada
| | - Judes Poirier
- Department of Psychiatry, McGill University, Montreal, Quebec H3A 1A1, Canada
- Center for the Studies in the Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Molecular Neurobiology Unit, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Department of Medicine, McGill University, Montreal, Quebec H4A 3J1, Canada
| | - Christine Lucas Tardif
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec H3A 2B4, Canada
- Department of Biomedical Engineering, McGill University, Montreal, Quebec H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec H3A 1A1, Canada
| | - Mahsa Dadar
- Department of Psychiatry, McGill University, Montreal, Quebec H3A 1A1, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec H4H 1R3, Canada
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec H3A 1A1, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec H3A 1A1, Canada
- Department of Biomedical Engineering, McGill University, Montreal, Quebec H3A 2B4, Canada
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Kang SH, Kang M, Han JH, Lee ES, Lee KJ, Chung SJ, Suh SI, Koh SB, Eo JS, Kim CK, Oh K. Independent effect of Aβ burden on cognitive impairment in patients with small subcortical infarction. Alzheimers Res Ther 2023; 15:178. [PMID: 37838715 PMCID: PMC10576878 DOI: 10.1186/s13195-023-01307-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 09/17/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND The effect of amyloid-β (Aβ) on cognitive impairment in patients with small subcortical infarction remains controversial, although a growing body of evidence shows a substantial overlap between Alzheimer's disease (AD) and subcortical ischemic vascular dementia, another form of cerebral small vessel disease (cSVD). Therefore, we investigated the relationships between Aβ positivity and the development of post-stroke cognitive impairment (PSCI) in patients with small subcortical infarction. METHODS We prospectively recruited 37 patients aged ≥ 50 years, with first-ever small subcortical infarction, who underwent amyloid positron emission tomography, 3 months after stroke at Korea University Guro Hospital. We also enrolled CU participants matched for age and sex with stroke patients for comparison of Aβ positivity. Patients were followed up at 3 and 12 months after the stroke to assess cognitive decline. Logistic and linear mixed-effect regression analyses were performed to identify the effect of Aβ positivity on PSCI development and long-term cognitive trajectories. RESULTS At 3 months after stroke, 12/37 (32.4%) patients developed PSCI, and 11/37 (29.7%) patients had Aβ deposition. Aβ positivity (odds ratio [OR] = 72.2, p = 0.024) was predictive of PSCI development regardless of cSVD burden. Aβ positivity (β = 0.846, p = 0.014) was also associated with poor cognitive trajectory, assessed by the Clinical Dementia Rating-Sum of Box, for 1 year after stroke. CONCLUSIONS Our findings highlight that Aβ positivity is an important predictor for PSCI development and cognitive decline over 1 year. Furthermore, our results provide evidence that anti-AD medications may be a strategy for preventing cognitive decline in patients with small subcortical infarctions.
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Affiliation(s)
- Sung Hoon Kang
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Minwoong Kang
- Department of Biomedical Research Center, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Jung Hoon Han
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Eun Seong Lee
- Department of Nuclear Medicine, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Keon-Joo Lee
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Su Jin Chung
- Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, South Korea
| | - Sang-Il Suh
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Jae Seon Eo
- Department of Nuclear Medicine, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea.
| | - Chi Kyung Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea.
| | - Kyungmi Oh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
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Boon BDC, Labuzan SA, Peng Z, Matchett BJ, Kouri N, Hinkle KM, Lachner C, Ross OA, Ertekin-Taner N, Carter RE, Ferman TJ, Duara R, Dickson DW, Graff-Radford NR, Murray ME. Retrospective Evaluation of Neuropathologic Proxies of the Minimal Atrophy Subtype Compared With Corticolimbic Alzheimer Disease Subtypes. Neurology 2023; 101:e1412-e1423. [PMID: 37580158 PMCID: PMC10573142 DOI: 10.1212/wnl.0000000000207685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 06/07/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Alzheimer disease (AD) is neuropathologically classified into 3 corticolimbic subtypes based on the neurofibrillary tangle distribution throughout the hippocampus and association cortices: limbic predominant, typical, and hippocampal sparing. In vivo, a fourth subtype, dubbed "minimal atrophy," was identified using structural MRI. The objective of this study was to identify a neuropathologic proxy for the neuroimaging-defined minimal atrophy subtype. METHODS We applied 2 strategies in the Florida Autopsied Multi-Ethnic (FLAME) cohort to evaluate a neuropathologic proxy for the minimal atrophy subtype. In the first strategy, we selected AD cases with a Braak tangle stage IV (Braak IV) because of the relative paucity of neocortical tangle involvement compared with Braak >IV. Braak IV cases were compared with the 3 AD subtypes. In the alternative strategy, typical AD was stratified by brain weight and cases having a relatively high brain weight (>75th percentile) were defined as minimal atrophy. RESULTS Braak IV cases (n = 37) differed from AD subtypes (limbic predominant [n = 174], typical [n = 986], and hippocampal sparing [n = 187] AD) in having the least years of education (median 12 years, group-wise p < 0.001) and the highest brain weight (median 1,140 g, p = 0.002). Braak IV cases most resembled the limbic predominant cases owing to their high proportion of APOE ε4 carriers (75%, p < 0.001), an amnestic syndrome (100%, p < 0.001), as well as older age of cognitive symptom onset and death (median 79 and 85 years, respectively, p < 0.001). Only 5% of Braak IV cases had amygdala-predominant Lewy bodies (the lowest frequency observed, p = 0.017), whereas 32% had coexisting pathology of Lewy body disease, which was greater than the other subtypes (p = 0.005). Nearly half (47%) of the Braak IV samples had coexisting limbic predominant age-related TAR DNA-binding protein 43 encephalopathy neuropathologic change. Cases with a high brain weight (n = 201) were less likely to have amygdala-predominant Lewy bodies (14%, p = 0.006) and most likely to have Lewy body disease (31%, p = 0.042) compared with those with middle (n = 455) and low (n = 203) brain weight. DISCUSSION The frequency of Lewy body disease was increased in both neuropathologic proxies of the minimal atrophy subtype. We hypothesize that Lewy body disease may underlie cognitive decline observed in minimal atrophy cases.
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Affiliation(s)
- Baayla D C Boon
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Sydney A Labuzan
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Zhongwei Peng
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Billie J Matchett
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Naomi Kouri
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Kelly M Hinkle
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Christian Lachner
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Owen A Ross
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Nilufer Ertekin-Taner
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Rickey E Carter
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Tanis J Ferman
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Ranjan Duara
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Dennis W Dickson
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Neill R Graff-Radford
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL
| | - Melissa E Murray
- From the Department of Neuroscience (B.D.C.B., S.A.L., B.J.M., N.K., K.M.H., O.A.R., N.E.-T., D.W.D., M.E.M.), Department of Quantitative Health Sciences (Z.P., R.E.C.), Department of Neurology (C.L., N.E.-T., N.R.G.-R.), and Department of Psychiatry & Psychology (C.L., T.J.F.), Mayo Clinic, Jacksonville; and Wien Center for Alzheimer's Disease and Memory Disorders (R.D.), Mount Sinai Medical Center, Miami Beach, FL.
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Higginbotham L, Carter EK, Dammer EB, Haque RU, Johnson ECB, Duong DM, Yin L, De Jager PL, Bennett DA, Felsky D, Tio ES, Lah JJ, Levey AI, Seyfried NT. Unbiased classification of the elderly human brain proteome resolves distinct clinical and pathophysiological subtypes of cognitive impairment. Neurobiol Dis 2023; 186:106286. [PMID: 37689213 PMCID: PMC10750427 DOI: 10.1016/j.nbd.2023.106286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/24/2023] [Accepted: 09/06/2023] [Indexed: 09/11/2023] Open
Abstract
Cognitive impairment in the elderly features complex molecular pathophysiology extending beyond the hallmark pathologies of traditional disease classification. Molecular subtyping using large-scale -omic strategies can help resolve this biological heterogeneity. Using quantitative mass spectrometry, we measured ∼8000 proteins across >600 dorsolateral prefrontal cortex tissues with clinical diagnoses of no cognitive impairment (NCI), mild cognitive impairment (MCI), and Alzheimer's disease (AD) dementia. Unbiased classification of MCI and AD cases based on individual proteomic profiles resolved three classes with expression differences across numerous cell types and biological ontologies. Two classes displayed molecular signatures atypical of AD neurodegeneration, such as elevated synaptic and decreased inflammatory markers. In one class, these atypical proteomic features were associated with clinical and pathological hallmarks of cognitive resilience. We were able to replicate these classes and their clinicopathological phenotypes across two additional tissue cohorts. These results promise to better define the molecular heterogeneity of cognitive impairment and meaningfully impact its diagnostic and therapeutic precision.
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Affiliation(s)
- Lenora Higginbotham
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
| | - E Kathleen Carter
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Eric B Dammer
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Rafi U Haque
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Erik C B Johnson
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Duc M Duong
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Luming Yin
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
| | - Philip L De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Taub Institute, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Daniel Felsky
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Earvin S Tio
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - James J Lah
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Allan I Levey
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Nicholas T Seyfried
- Goizueta Alzheimer's Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA.
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Bortoletto AS, Parchem RJ. A pancreatic player in dementia: pathological role for islet amyloid polypeptide accumulation in the brain. Neural Regen Res 2023; 18:2141-2146. [PMID: 37056121 PMCID: PMC10328265 DOI: 10.4103/1673-5374.369095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 12/30/2022] [Accepted: 01/19/2023] [Indexed: 02/17/2023] Open
Abstract
Type 2 diabetes mellitus patients have a markedly higher risk of developing dementia. While multiple factors contribute to this predisposition, one of these involves the increased secretion of amylin, or islet amyloid polypeptide, that accompanies the pathophysiology of type 2 diabetes mellitus. Islet amyloid polypeptide accumulation has undoubtedly been implicated in various forms of dementia, including Alzheimer's disease and vascular dementia, but the exact mechanisms underlying islet amyloid polypeptide's causative role in dementia are unclear. In this review, we have summarized the literature supporting the various mechanisms by which islet amyloid polypeptide accumulation may cause neuronal damage, ultimately leading to the clinical symptoms of dementia. We discuss the evidence for islet amyloid polypeptide deposition in the brain, islet amyloid polypeptide interaction with other amyloids implicated in neurodegeneration, neuroinflammation caused by islet amyloid polypeptide deposition, vascular damage induced by islet amyloid polypeptide accumulation, and islet amyloid polypeptide-induced cytotoxicity. There are very few therapies approved for the treatment of dementia, and of these, clinical responses have been controversial at best. Therefore, investigating new, targetable pathways is vital for identifying novel therapeutic strategies for treating dementia. As such, we conclude this review by discussing islet amyloid polypeptide accumulation as a potential therapeutic target not only in treating type 2 diabetes mellitus but as a future target in treating or even preventing dementia associated with type 2 diabetes mellitus.
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Affiliation(s)
- Angelina S. Bortoletto
- Center for Cell and Gene Therapy, Stem Cell and Regenerative Medicine Center, Department of Neuroscience, Department of Molecular and Cellular Biology, Translational Biology and Molecular Medicine Program, Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, USA
| | - Ronald J. Parchem
- Center for Cell and Gene Therapy, Stem Cell and Regenerative Medicine Center, Department of Neuroscience, Department of Molecular and Cellular Biology, Translational Biology and Molecular Medicine Program, Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, USA
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45
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Pauls MMH, Fish J, Binnie LR, Benjamin P, Betteridge S, Clarke B, Dhillon MPK, Ghatala R, Hainsworth FAH, Howe FA, Khan U, Kruuse C, Madigan JB, Moynihan B, Patel B, Pereira AC, Rostrup E, Shtaya ABY, Spilling CA, Trippier S, Williams R, Young R, Barrick TR, Isaacs JD, Hainsworth AH. Testing the cognitive effects of tadalafil. Neuropsychological secondary outcomes from the PASTIS trial. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 5:100187. [PMID: 37811523 PMCID: PMC10550803 DOI: 10.1016/j.cccb.2023.100187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/25/2023] [Accepted: 09/25/2023] [Indexed: 10/10/2023]
Abstract
Cerebral small vessel disease (SVD) is a major cause of cognitive impairment in older people. As secondary endpoints in a phase-2 randomised clinical trial, we tested the effects of single administration of a widely-used PDE5 inhibitor, tadalafil, on cognitive performance in older people with SVD. In a double-blinded, placebo-controlled, cross-over trial, participants received tadalafil (20 mg) and placebo on two visits ≥ 7 days apart (randomised to order of treatment). The Montreal Cognitive Assessment (MOCA) was administered at baseline, alongside a measure to estimate optimal intellectual ability (Test of Premorbid Function). Then, before and after treatment, a battery of neuropsychological tests was administered, assessing aspects of attention, information processing speed, working memory and executive function. Sixty-five participants were recruited and 55 completed the protocol (N = 55, age: 66.8 (8.6) years, range 52-87; 15/40 female/male). Median MOCA score was 26 (IQR: 23, 27], range 15-30). No significant treatment effects were seen in any of the neuropsychological tests. There was a trend towards improved performance on Digit Span Forward (treatment effect 0.37, C.I. 0.01, 0.72; P = 0.0521). We did not identify significant treatment effects of single-administration tadalafil on neuropsychological performance in older people with SVD. The trend observed on Digit Span Forward may help to inform future studies. Clinical trial registration http://www.clinicaltrials.gov. Unique identifier: NCT00123456, https://eudract.ema.europa.eu. Unique identifier: 2015-001,235-20NCT00123456.
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Affiliation(s)
- Mathilde MH Pauls
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Jessica Fish
- Neuropsychology, St George's University Hospitals NHS Foundation Trust, London, UK
- School of Health & Wellbeing, University of Glasgow, UK
| | - Lauren R Binnie
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
| | - Philip Benjamin
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
- Neuroradiology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Shai Betteridge
- Neuropsychology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Brian Clarke
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | | | - Rita Ghatala
- South London Stroke Research Network, London, UK
| | | | - Franklyn A Howe
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
| | - Usman Khan
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Christina Kruuse
- Department of Neurology and Neurovascular Research Unit, Herlev Gentofte Hospital, Denmark
| | - Jeremy B Madigan
- Neuroradiology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Barry Moynihan
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
- Department of Medicine, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
| | - Bhavini Patel
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Anthony C Pereira
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Egill Rostrup
- Mental Health Centre, University of Copenhagen, Glostrup, Denmark
| | - Anan BY Shtaya
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
| | - Catherine A Spilling
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
| | | | | | - Robin Young
- Robertson Centre for Biostatistics, University of Glasgow, UK
| | - Thomas R Barrick
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
| | - Jeremy D Isaacs
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Atticus H Hainsworth
- Molecular & Clinical Sciences Research Institute, St George's University of London, UK
- Department of Neurology, St George's University Hospitals NHS Foundation Trust, London, UK
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Boivin-Proulx LA, Brouillette J, Dorais M, Perreault S. Association between cardiovascular diseases and dementia among various age groups: a population-based cohort study in older adults. Sci Rep 2023; 13:14881. [PMID: 37689801 PMCID: PMC10492794 DOI: 10.1038/s41598-023-42071-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 09/05/2023] [Indexed: 09/11/2023] Open
Abstract
The link between cardiovascular (CV) risk factors or diseases and dementia is documented. There is conflicting evidence whether age moderates the association. We need to study this gap so that research and clinical initiatives target appropriate age groups. A cohort of 320,630 adult patients without dementia was built using Quebec healthcare databases (1998-2010). The CV risk factors were hypertension, diabetes and dyslipidemia, while diseases included stroke, myocardial infarction (MI), chronic heart failure (HF), and atrial fibrillation (AF). Dementia risk and CV risk factors or diseases were assessed using incidence rate ratios and Cox regression across age groups. The cohort presented by mainly female sex (67.7%) and mean age of 74.1 years. Incident rate of dementia increased with age, ranging from 4.1 to 93.5 per 1000 person-years. Diabetes, stroke, HF and AF were significantly associated with dementia risk, hazard ratios ranged from 1.08 to 3.54. The strength of association decreased in advanced age for diabetes, stroke and HF. The results suggest that prevention of diabetes, stroke, HF and AF are crucial to mitigate dementia risk. The pathophysiology of dementia in younger and older populations seems to differ, with less impact of CV risk factors in advanced age.
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Affiliation(s)
- Laurie-Anne Boivin-Proulx
- Department of Cardiology, Faculty of Medicine, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - Judith Brouillette
- Department of Cardiology, Faculty of Medicine, University of Ottawa Heart Institute, Ottawa, ON, Canada
- Department of Psychiatry and Addictology, Université de Montréal, Montreal, QC, Canada
| | - Marc Dorais
- StatSciences Inc., Notre-Dame-de-l'Île-Perrot, QC, Canada
| | - Sylvie Perreault
- Faculté de Pharmacie, Université de Montréal, Succursale Centre-Ville, Case Postale 6128, Montreal, QC, H3C 3J7, Canada.
- Centre de Recherche en Santé Publique (CReSP), Partenaire CIUSSS du Centre-Sud-de-l'Île-de-Montréal et l'Université de Montréal, Montreal, QC, Canada.
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Zebarth J, Kamal R, Perlman G, Ouk M, Xiong LY, Yu D, Lin WZ, Ramirez J, Masellis M, Goubran M, MacIntosh BJ, Black SE, Cogo-Moreira H, Scott CJM, Bartha R, Symons S, Haddad SMH, Ozzoude M, Nanayakkara N, Beaton D, Arnott S, Dowlatshahi D, Swartz RH, Saposnik G, Grimes D, Lang A, Fischer CE, Frank A, Kumar S, Pollock BG, Tang-Wai D, Finger E, Rabin JS, Swardfager W. Perivascular spaces mediate a relationship between diabetes and other cerebral small vessel disease markers in cerebrovascular and neurodegenerative diseases. J Stroke Cerebrovasc Dis 2023; 32:107273. [PMID: 37542762 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107273] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/13/2023] [Accepted: 07/20/2023] [Indexed: 08/07/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) and hypertension are risk factors for cerebral small vessel disease (SVD); however, few studies have characterised their relationships with MRI-visible perivascular spaces (PVS). MRI was used to quantify deep (d) and periventricular (p) white matter hyperintensities (WMH), lacunes, PVS in the white matter (wmPVS) or basal ganglia (bgPVS), and diffusion metrics in white matter. Patients with T2DM had greater wmPVS volume and there were greater wmPVS volumes in patients with T2DM and hypertension together. Counterfactual moderated mediation models found indirect effects of T2DM on volumes of other SVD and diffusion markers that were mediated by wmPVS: pWMH, dWMH, periventricular lacunes, and deep lacunes, and progression of deep lacunes over 1 year, in patients with hypertension, but not in patients without hypertension. Studying the regulation of cortical perivascular fluid dynamics may reveal mechanisms that mediate the impact of T2DM on cerebral small vessels.
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Affiliation(s)
- Julia Zebarth
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - Radia Kamal
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - George Perlman
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - Michael Ouk
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - Lisa Y Xiong
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - Di Yu
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - William Z Lin
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada
| | - Joel Ramirez
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Mario Masellis
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Maged Goubran
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Medical Biophysics, Temerty Faculty of Medicine, University of Toronto, Princess Margret Cancer Research Tower 101 College Street Room 15-701, Toronto M5G 1L7, Canada
| | - Bradley J MacIntosh
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Medical Biophysics, Temerty Faculty of Medicine, University of Toronto, Princess Margret Cancer Research Tower 101 College Street Room 15-701, Toronto M5G 1L7, Canada
| | - Sandra E Black
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Hugo Cogo-Moreira
- Department of Education, Østfold University College, 1757 B R A Veien 4, Halden 1757, Norway
| | - Christopher J M Scott
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Robert Bartha
- Department of Medical Biophysics, Western University, Medical Sciences building Room M407, London, Ontario N6A 5C1, Canada
| | - Sean Symons
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Seyyed M H Haddad
- Center for Functional and Metabolic Mapping, Robarts Research Institute, Western University, 1151 Richmond Street, London, Ontario N6A 3K7, Canada
| | - Miracle Ozzoude
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Nuwan Nanayakkara
- Robarts Research Institute, University of Western Ontario, 100 Perth Drive, London, Ontario N6A 5K8, Canada
| | - Derek Beaton
- Data Science and Advanced Analytics (DSAA), St. Michael's Hospital, Unity Health Toronto, 36 Queen Street East, Toronto, Ontario M5B 1W8, Canada
| | - Stephen Arnott
- Rotman Research Institute, Baycrest Centre, 3560 Bathurst Street, Toronto, Ontario M6A 2E1, Canada
| | - Dariush Dowlatshahi
- Division of Neurology, Department of Medicine, Ottawa Hospital Research Institute, University of Ottawa, 725 Parkdale Ave, Ottawa, Ontario K1Y 4E9, Canada
| | - Richard H Swartz
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Gustavo Saposnik
- Stroke Outcomes and Decision Neuroscience Research Unit, Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada
| | - David Grimes
- Division of Neurology, Department of Medicine, Ottawa Hospital Research Institute, University of Ottawa, 725 Parkdale Ave, Ottawa, Ontario K1Y 4E9, Canada
| | - Anthony Lang
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada; Division of Neurology, Temerty Faculty of Medicine, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada; Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, University Health Network, 399 Bathurst St, Toronto, Ontario M5T 2S8, Canada
| | - Corinne E Fischer
- Keenan Research Centre for Biomedical Science, Unity Health, 209 Victoria Street, Toronto, Ontario M5B 1T8, Canada
| | - Andrew Frank
- Bruyère Research Institute, University of Ottawa, 85 Primrose Avenue, Ottawa, Ontario K1R 6M1, Canada
| | - Sanjeev Kumar
- Adult Neurodevelopmental and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, 1001 Queen Street West, Toronto, Ontario M6J 1H4, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, 250 College Street, Toronto M5T 1R8, Canada
| | - Bruce G Pollock
- Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health 475 Spadina Avenue, Toronto, Ontario M5S 2S1, Canada; Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, 250 College Street, Toronto M5T 1R8, Canada
| | - David Tang-Wai
- Krembil Research Institute, University Health Network, 60 Leonard Ave, Toronto, Ontario M5T 0S8, Canada; Division of Neurology, Temerty Faculty of Medicine, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada; Toronto Western Hospital, University Health Network Memory Clinic, 399 Bathurst Street, Toronto M5T 2S8, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Western University, 550 Wellington Road, London, Ontario N6C 0A7, Canada
| | - Jennifer S Rabin
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Harquail Centre for Neuromodulation, Sunnybrook Research Institute, 2075 Bayview Avenue, Toronto M4N 3M5, Canada; Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto M4N 3M5, Canada; Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, 1 King's College Circle, Medical Sciences Building, Room 2109, Toronto, Ontario M5S 1A8, Canada
| | - Walter Swardfager
- Dr. Sandra Black Center for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada; Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences building 1 Kings College Circle Room 4207, Toronto, Ontario M5S 1A8, Canada; Thunder Bay Regional Health Research Institute, 1040 Oliver Road, Thunder Bay, Ontario P7B 7A5, Canada.
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Jagust WJ, Teunissen CE, DeCarli C. The complex pathway between amyloid β and cognition: implications for therapy. Lancet Neurol 2023; 22:847-857. [PMID: 37454670 DOI: 10.1016/s1474-4422(23)00128-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 03/11/2023] [Accepted: 03/27/2023] [Indexed: 07/18/2023]
Abstract
For decades, the hypothesis that brain deposition of the amyloid β protein initiates Alzheimer's disease has dominated research and clinical trials. Targeting amyloid β is starting to produce therapeutic benefit, although whether amyloid-lowering drugs will be widely and meaningfully effective is still unclear. Despite extensive in-vivo biomarker evidence in humans showing the importance of an amyloid cascade that drives cognitive decline, the amyloid hypothesis does not fully account for the complexity of late-life cognitive impairment. Multiple brain pathological changes, inflammation, and host factors of resilience might also be involved in contributing to the development of dementia. This variability suggests that the benefits of lowering amyloid β might depend on how strongly an amyloid pathway is manifest in an individual in relation to other coexisting pathophysiological processes. A new approach to research and treatment, which fully considers the multiple factors that drive cognitive decline, is necessary.
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Affiliation(s)
- William J Jagust
- School of Public Health, and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Program Neurodegeneration, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Charles DeCarli
- Department of Neurology, University of California, Davis, CA, USA
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Bachmann D, Buchmann A, Studer S, Saake A, Rauen K, Zuber I, Gruber E, Nitsch RM, Hock C, Gietl A, Treyer V. Age-, sex-, and pathology-related variability in brain structure and cognition. Transl Psychiatry 2023; 13:278. [PMID: 37574523 PMCID: PMC10423720 DOI: 10.1038/s41398-023-02572-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 08/15/2023] Open
Abstract
This work aimed to investigate potential pathways linking age and imaging measures to early age- and pathology-related changes in cognition. We used [18F]-Flutemetamol (amyloid) and [18F]-Flortaucipir (tau) positron emission tomography (PET), structural MRI, and neuropsychological assessment from 232 elderly individuals aged 50-89 years (46.1% women, 23% APOE-ε4 carrier, 23.3% MCI). Tau-PET was available for a subsample of 93 individuals. Structural equation models were used to evaluate cross-sectional pathways between age, amyloid and tau burden, grey matter thickness and volumes, white matter hyperintensity volume, lateral ventricle volume, and cognition. Our results show that age is associated with worse outcomes in most of the measures examined and had similar negative effects on episodic memory and executive functions. While increased lateral ventricle volume was consistently associated with executive function dysfunction, participants with mild cognitive impairment drove associations between structural measures and episodic memory. Both age and amyloid-PET could be associated with medial temporal lobe tau, depending on whether we used a continuous or a dichotomous amyloid variable. Tau burden in entorhinal cortex was related to worse episodic memory in individuals with increased amyloid burden (Centiloid >12) independently of medial temporal lobe atrophy. Testing models for sex differences revealed that amyloid burden was more strongly associated with regional atrophy in women compared with men. These associations were likely mediated by higher tau burden in women. These results indicate that influences of pathological pathways on cognition and sex-specific vulnerabilities are dissociable already in early stages of neuropathology and cognitive impairment.
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Affiliation(s)
- Dario Bachmann
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland.
- Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
| | - Andreas Buchmann
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
| | - Sandro Studer
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
| | - Antje Saake
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
| | - Katrin Rauen
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
- Department of Geriatric Psychiatry, Psychiatric Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland
| | - Isabelle Zuber
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
| | - Esmeralda Gruber
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
| | - Roger M Nitsch
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
- Neurimmune AG, Schlieren, Switzerland
| | - Christoph Hock
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
- Neurimmune AG, Schlieren, Switzerland
| | - Anton Gietl
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
- Department of Geriatric Psychiatry, Psychiatric Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Valerie Treyer
- Institute for Regenerative Medicine, University of Zurich, Schlieren, Switzerland
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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50
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Yuan S, Huang X, Zhang L, Ling Y, Tan S, Peng M, Xu A, Lyu J. Associations of air pollution with all-cause dementia, Alzheimer's disease, and vascular dementia: a prospective cohort study based on 437,932 participants from the UK biobank. Front Neurosci 2023; 17:1216686. [PMID: 37600021 PMCID: PMC10436530 DOI: 10.3389/fnins.2023.1216686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/25/2023] [Indexed: 08/22/2023] Open
Abstract
Objective To prospectively assess whether air pollution, including PM2.5, PM10, and NOx, is associated with the risk of all-cause dementia, Alzheimer's disease (AD), and vascular dementia, and to investigate the potential relationship between air pollution and genetic susceptibility in the development of AD. Methods and results Our study included 437,932 participants from the UK Biobank with a median follow-up period of over 10 years. Using a Cox proportional hazards model, we found that participants exposed to PM2.5 levels of ≥10 μg/m3 had a higher risk of developing all-cause dementia (HR = 1.1; 95% CI: 1.05-1.28; p < 0.05) compared to the group exposed to PM2.5 levels of <10 μg/m3. However, there was no significant association between PM10 levels of ≥15 μg/m3 and the risk of all-cause dementia, AD, or vascular dementia when compared to the group exposed to PM10 levels of <15 μg/m3. On the other hand, participants exposed to NOx levels of ≥50 μg/m3 had a significantly higher risk of all-cause dementia (HR = 1.14; 95% CI: 1.02-1.26; p < 0.05) and AD (HR = 1.26; 95% CI: 1.08-1.48; p < 0.05) compared to the group exposed to NOx levels of <50 μg/m3. Furthermore, we examined the combined effect of air pollution (PM2.5, PM10, and NOx) and Alzheimer's disease genetic risk score (AD-GRS) on the development of AD using a Cox proportional hazards model. Among participants with a high AD-GRS, those exposed to NOx levels of ≥50 μg/m3 had a significantly higher risk of AD compared to those in the group exposed to NOx levels of <50 μg/m3 (HR = 1.36; 95% CI: 1.03-1.18; p < 0.05). Regardless of air pollutant levels (PM2.5, PM10, or NOx), participants with a high AD-GRS had a significantly increased risk of developing AD. Similar results were obtained when assessing multiple variables using inverse probability of treatment weighting (IPTW). Conclusion Our findings indicate that individuals living in areas with PM2.5 levels of ≥10 μg/m3 or NOx levels of ≥50 μg/m3 are at a higher risk of developing all-cause dementia. Moreover, individuals with a high AD-GRS demonstrated an increased risk of developing AD, particularly in the presence of NOx ≥ 50 μg/m3.
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Affiliation(s)
- Shiqi Yuan
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Xiaxuan Huang
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Luming Zhang
- Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Yitong Ling
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Shanyuan Tan
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Min Peng
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Anding Xu
- Department of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, Guangdong, China
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