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Scholz SW, Cobos I. Genetics and Neuropathology of Neurodegenerative Dementias. Continuum (Minneap Minn) 2024; 30:1801-1822. [PMID: 39620845 DOI: 10.1212/con.0000000000001505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2024]
Abstract
OBJECTIVE This article provides an overview of the current understanding of the genetic and pathologic features of neurodegenerative dementias, with an emphasis on Alzheimer disease and related dementias. LATEST DEVELOPMENTS In recent years, there has been substantial progress in genetic research, contributing significant knowledge to our understanding of the molecular risk factors involved in neurodegenerative dementia syndromes. Several genes have been linked to monogenic forms of dementia (eg, APP, PSEN1, PSEN2, SNCA, GRN, C9orf72, MAPT) and an even larger number of genetic variants are known to influence susceptibility for developing dementia. As anti-amyloid therapies for patients with early-stage Alzheimer disease have entered the clinical arena, screening for the apolipoprotein E ε4 high-risk allele has come into focus, emphasizing the importance of genetic counseling. Similarly, advances in the pathologic classifications of neurodegenerative dementia syndromes and molecular pathology highlight their heterogeneity and overlapping features and provide insights into the pathogenesis of these conditions. ESSENTIAL POINTS Recent progress in neurogenetics and molecular pathology has improved our understanding of the complex pathogenetic changes associated with neurodegenerative dementias, facilitating improved disease modeling, enhanced diagnostics, and individualized counseling. The hope is that this knowledge will ultimately pave the way for the development of novel therapeutics.
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Prabha S, Sajad M, Hasan GM, Islam A, Imtaiyaz Hassan M, Thakur SC. Recent advancement in understanding of Alzheimer's disease: Risk factors, subtypes, and drug targets and potential therapeutics. Ageing Res Rev 2024; 101:102476. [PMID: 39222668 DOI: 10.1016/j.arr.2024.102476] [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: 07/13/2024] [Revised: 08/22/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024]
Abstract
Alzheimer's disease (AD) is a significant neocortical degenerative disorder characterized by the progressive loss of neurons and secondary alterations in white matter tracts. Understanding the risk factors and mechanisms underlying AD is crucial for developing effective treatments. The risk factors associated with AD encompass a wide range of variables, including gender differences, family history, and genetic predispositions. Additionally, environmental factors such as air pollution and lifestyle-related conditions like cardiovascular disease, gut pathogens, and liver pathology contribute substantially to the development and progression of AD and its subtypes. This review provides current update and deeper insights into the role of diverse risk factors, categorizing AD into its distinct subtypes and elucidating their specific pathophysiological mechanisms. Unlike previous studies that often focus on isolated aspects of AD, our review integrates these factors to offer a comprehensive understanding of the disease. Furthermore, the review explores a variety of drug targets linked to the neuropathology of different AD subtypes, highlighting the potential for targeted therapeutic interventions. We further discussed the novel therapeutic options and categorized them according to their targets. The roles of different drug targets were comprehensively studied, and the mechanism of action of their inhibitors was discussed in detail. By comprehensively covering the interplay of risk factors, subtype differentiation, and drug targets, this review provides a deeper understanding of AD and suggests directions for future research and therapeutic strategies.
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Affiliation(s)
- Sneh Prabha
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Mohd Sajad
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Gulam Mustafa Hasan
- Department of Basic Medical Science, College of Medicine, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Asimul Islam
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India
| | - Md Imtaiyaz Hassan
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.
| | - Sonu Chand Thakur
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.
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Zhao T, Li H, Zhang M, Xu Y, Zhang M, Chen L. Systematic evaluation of multifactorial causal associations for Alzheimer's disease and an interactive platform MRAD developed based on Mendelian randomization analysis. eLife 2024; 13:RP96224. [PMID: 39392298 PMCID: PMC11469671 DOI: 10.7554/elife.96224] [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: 10/12/2024] Open
Abstract
Alzheimer's disease (AD) is a complex degenerative disease of the central nervous system, and elucidating its pathogenesis remains challenging. In this study, we used the inverse-variance weighted (IVW) model as the major analysis method to perform hypothesis-free Mendelian randomization (MR) analysis on the data from MRC IEU OpenGWAS (18,097 exposure traits and 16 AD outcome traits), and conducted sensitivity analysis with six models, to assess the robustness of the IVW results, to identify various classes of risk or protective factors for AD, early-onset AD, and late-onset AD. We generated 400,274 data entries in total, among which the major analysis method of the IVW model consists of 73,129 records with 4840 exposure traits, which fall into 10 categories: Disease, Medical laboratory science, Imaging, Anthropometric, Treatment, Molecular trait, Gut microbiota, Past history, Family history, and Lifestyle trait. More importantly, a freely accessed online platform called MRAD (https://gwasmrad.com/mrad/) has been developed using the Shiny package with MR analysis results. Additionally, novel potential AD therapeutic targets (CD33, TBCA, VPS29, GNAI3, PSME1) are identified, among which CD33 was positively associated with the main outcome traits of AD, as well as with both EOAD and LOAD. TBCA and VPS29 were negatively associated with the main outcome traits of AD, as well as with both EOAD and LOAD. GNAI3 and PSME1 were negatively associated with the main outcome traits of AD, as well as with LOAD, but had no significant causal association with EOAD. The findings of our research advance our understanding of the etiology of AD.
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Affiliation(s)
- Tianyu Zhao
- Department of Pharmacology, College of Basic Medical Sciences, Jilin UniversityChangchunChina
| | - Hui Li
- Department of Neurology, Xuanwu Hospital, Capital Medical UniversityBeijingChina
- Neurology and Intracranial Hypertension & Cerebral Venous Disease Center National Health Commission of China, Xuanwu Hospital, Capital Medical UniversityBeijingChina
| | | | - Yang Xu
- Department of Pharmacology, College of Basic Medical Sciences, Jilin UniversityChangchunChina
| | - Ming Zhang
- Department of Pharmacology, College of Basic Medical Sciences, Jilin UniversityChangchunChina
| | - Li Chen
- Department of Pharmacology, College of Basic Medical Sciences, Jilin UniversityChangchunChina
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Tábuas-Pereira M, Bernardes C, Durães J, Lima M, Nogueira AR, Saraiva J, Tábuas T, Coelho M, Paquette K, Westra K, Kun-Rodrigues C, Almeida MR, Baldeiras I, Brás J, Guerreiro R, Santana I. Exploring first-degree family history in a cohort of Portuguese Alzheimer's disease patients: population evidence for X-chromosome linked and recessive inheritance of risk factors. J Neurol 2024; 271:6983-6990. [PMID: 39235525 PMCID: PMC11447147 DOI: 10.1007/s00415-024-12673-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: 07/22/2024] [Revised: 08/11/2024] [Accepted: 08/26/2024] [Indexed: 09/06/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) heritability is estimated to be around 70-80%. Yet, much of it remains to be explained. Studying transmission patterns may help in understanding other factors contributing to the development of AD. OBJECTIVE In this study, we aimed to search for evidence of autosomal recessive or X- and Y-linked inheritance of risk factors in a large cohort of Portuguese AD patients. METHODS We collected family history from patients with AD and cognitively healthy controls over 75 years of age. We compared the proportions of maternal and paternal history in male and female patients and controls (to search for evidence of X-linked and Y-linked inherited risk factors). We compared the risk of developing AD depending on parents' birthplace (same vs. different), as a proxy of remote consanguinity. We performed linear regressions to study the association of these variables with different endophenotypes. RESULTS We included 3090 participants, 2183 cognitively healthy controls and 907 patients with AD. Men whose mother had dementia have increased odds of developing AD comparing to women whose mother had dementia. In female patients with a CSF biomarker-supported diagnosis of AD, paternal history of dementia is associated with increased CSF phosphorylated Tau levels. People whose parents are from the same town have higher risk of dementia. In multivariate analysis, this proxy is associated with a lower age of onset and higher CSF phosphorylated tau. CONCLUSIONS Our study gives evidence supporting an increased risk of developing AD associated with an X-linked inheritance pattern and remote consanguinity.
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Affiliation(s)
- Miguel Tábuas-Pereira
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
- Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.
- Centre for Innovative Biomedicine and Biotechnology (CIBB), Universidade de Coimbra, Coimbra, Portugal.
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Praceta Prof. Mota Pinto, 3004-561, Coimbra, Portugal.
| | - Catarina Bernardes
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology (CIBB), Universidade de Coimbra, Coimbra, Portugal
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Praceta Prof. Mota Pinto, 3004-561, Coimbra, Portugal
| | - João Durães
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology (CIBB), Universidade de Coimbra, Coimbra, Portugal
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Praceta Prof. Mota Pinto, 3004-561, Coimbra, Portugal
| | - Marisa Lima
- Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | | | - Jorge Saraiva
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology (CIBB), Universidade de Coimbra, Coimbra, Portugal
| | - Teresa Tábuas
- Instituto Politécnico de Bragança, Bragança, Portugal
| | - Mariana Coelho
- Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Praceta Prof. Mota Pinto, 3004-561, Coimbra, Portugal
| | - Kimberly Paquette
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Kaitlyn Westra
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Célia Kun-Rodrigues
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Maria Rosário Almeida
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology (CIBB), Universidade de Coimbra, Coimbra, Portugal
| | - Inês Baldeiras
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology (CIBB), Universidade de Coimbra, Coimbra, Portugal
| | - José Brás
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Rita Guerreiro
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI, USA
| | - Isabel Santana
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology (CIBB), Universidade de Coimbra, Coimbra, Portugal
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Praceta Prof. Mota Pinto, 3004-561, Coimbra, Portugal
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Seto M, Hohman TJ, Mormino EC, Papp KV, Amariglio RE, Rentz DM, Johnson KA, Schultz AP, Sperling RA, Buckley RF, Yang HS. Parental History of Memory Impairment and β-Amyloid in Cognitively Unimpaired Older Adults. JAMA Neurol 2024; 81:798-804. [PMID: 38884955 PMCID: PMC11184498 DOI: 10.1001/jamaneurol.2024.1763] [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: 01/16/2024] [Accepted: 04/19/2024] [Indexed: 06/18/2024]
Abstract
Importance Studies have suggested that maternal history of late-onset Alzheimer disease, but not paternal, predisposes individuals to higher brain β-amyloid (Aβ) burden, reduced brain metabolism, and lower gray matter volumes. Objective To characterize maternal vs paternal history of memory impairment in terms of brain Aβ-positron emission tomography (Aβ-PET) and baseline cognition among a large sample of cognitively unimpaired older adults. Design, Setting, and Participants This cross-sectional study leveraged data from 4413 individuals who were screened for the Anti-Amyloid Treatment in Asymptomatic Alzheimer (A4) study, a randomized clinical trial conducted across 67 sites in the US, Australia, Canada, and Japan aimed at Alzheimer disease prevention. Data were collected between April 2014 and December 2017 and analyzed from December 2022 to June 2023. Participants were cognitively unimpaired adults (Clinical Dementia Rating = 0 and/or Mini-Mental State Examination score ≥25) between the ages of 65 and 85 years who underwent PET imaging to assess cortical Aβ levels for trial eligibility. A total of 4492 participants were screened, and 79 missing data were excluded. Main Outcomes and Measures Demographic characteristics (eg, age, sex, education), apolipoprotein E genotyping, participant-reported parental history of memory impairment and parental age at symptom onset were collected as variables. Parental history was assessed in terms of continuous neocortical 18F-florbetapir Aβ-PET and the Preclinical Alzheimer Cognitive Composite. Results Of 4413 individuals (mean [SD] age, 71.27 [4.66] years, 2617 women [59.3%]), mean Aβ-PET was elevated in individuals with history of memory impairment in both parents (n = 455; mean [SD] standardized uptake value ratio [SUVR] = 1.12 [0.19]; Wilcoxon P = 1.1 × 10-5) and in those with only maternal history (n = 1772; mean [SD] SUVR = 1.10 [0.19]; Wilcoxon P = 2.70 × 10-5) compared with those with only paternal history (n = 632; mean [SD] SUVR = 1.08 [0.18]; Wilcoxon P = 1.1 × 10-5) or no family history (n = 1554; mean [SD] SUVR = 1.08 [0.19]; Wilcoxon P = 1.1 × 10-5). Paternal history of early-onset memory impairment (age <65 years) but not late-onset (age ≥65 years) was associated with elevated participant Aβ-PET (mean [SD] SUVR = 1.19 [0.21]; P = 3.00 × 10-6) in comparison with no paternal history (mean [SD] SUVR = 1.09 [0.19]) whereas maternal history was associated with elevated Aβ in both early-onset and late-onset groups. There was no association with cognition. Conclusions and Relevance In this study, maternal history (at any age) and paternal history of early-onset memory impairment were associated with Aβ burden among asymptomatic older individuals. Sex-specific parental history may help inform clinicians on likelihood of Aβ burden in offspring and help identify high-risk individuals at the earliest stages of disease for prevention.
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Affiliation(s)
- Mabel Seto
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Elizabeth C. Mormino
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, California
| | - Kathryn V. Papp
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Rebecca E. Amariglio
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Dorene M. Rentz
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Keith A. Johnson
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Department of Radiology, Massachusetts General Hospital, Boston
| | - Aaron P. Schultz
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown
| | - Reisa A. Sperling
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Rachel F. Buckley
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Hyun-Sik Yang
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
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Armon C, Cannon-Albright LA, Allen-Brady K, Wolfson S. Chasing shadows: Investigating X chromosome mediation in late-onset Alzheimer's disease. ADVANCED NEUROLOGY 2024; 3:3122. [PMID: 39634155 PMCID: PMC11616353 DOI: 10.36922/an.3122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/07/2024]
Abstract
Alzheimer's disease (AD) is a major cause of dementia. While maternal inheritance has been recognized for late-onset AD (LOAD), risk factors have not been identified consistently on the X chromosome. We recently developed a new method to identify an apparent risk of 70% mediated by the X chromosome in newly-presenting cognitive disorders clinic patients with amnestic mild cognitive impairment (aMCI) or early LOAD with unilateral parental lineage for AD or dementia. We sought to confirm our preliminary findings in the Utah Population Database (UPDB). We obtained previously published aggregate data on the risk of AD in the UPDB based on family history, stratified the data by the sex of the proband, and analyzed them using the new method. The X chromosome-attributable relative risk was estimated by calculating the following: Odds ratio (OR) = (women with paternal lineage: Women with maternal lineage)/(men with paternal lineage: Men with maternal lineage). The proportion of genetic risk attributable to the X chromosome is equal to (OR-1)/OR. The analysis did not reveal any risk mediated by the X chromosome, and the null result could be attributed to methodological limitations. Factors that impact the initial or early presentation (incidence) of LOAD, which are appropriate for consideration as risk factors, may not be detectable in a (prevalent) population of deceased individuals. Thus, epidemiological evidence for the contribution of the X chromosome to the development of LOAD will need to be sought prospectively in incident patient populations with newly diagnosed, biologically-confirmed aMCI or LOAD.
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Affiliation(s)
- Carmel Armon
- Department of Neurology, Loma Linda University School of Medicine, Loma Linda, California, United States of America
- Department of Neurology, Tel Aviv University School of Medicine and Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel
| | - Lisa A. Cannon-Albright
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
| | - Kristina Allen-Brady
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, United States of America
| | - Sharon Wolfson
- Department of Neurology, Tel Aviv University School of Medicine and Shamir (Assaf Harofeh) Medical Center, Zerifin, Israel
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Meshref M, Ghaith HS, Hammad MA, Shalaby MMM, Ayasra F, Monib FA, Attia MS, Ebada MA, Elsayed H, Shalash A, Bahbah EI. The Role of RIN3 Gene in Alzheimer's Disease Pathogenesis: a Comprehensive Review. Mol Neurobiol 2024; 61:3528-3544. [PMID: 37995081 PMCID: PMC11087354 DOI: 10.1007/s12035-023-03802-0] [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: 09/08/2023] [Accepted: 11/10/2023] [Indexed: 11/24/2023]
Abstract
Alzheimer's disease (AD) is a globally prevalent form of dementia that impacts diverse populations and is characterized by progressive neurodegeneration and impairments in executive memory. Although the exact mechanisms underlying AD pathogenesis remain unclear, it is commonly accepted that the aggregation of misfolded proteins, such as amyloid plaques and neurofibrillary tau tangles, plays a critical role. Additionally, AD is a multifactorial condition influenced by various genetic factors and can manifest as either early-onset AD (EOAD) or late-onset AD (LOAD), each associated with specific gene variants. One gene of particular interest in both EOAD and LOAD is RIN3, a guanine nucleotide exchange factor. This gene plays a multifaceted role in AD pathogenesis. Firstly, upregulation of RIN3 can result in endosomal enlargement and dysfunction, thereby facilitating the accumulation of beta-amyloid (Aβ) peptides in the brain. Secondly, RIN3 has been shown to impact the PICLAM pathway, affecting transcytosis across the blood-brain barrier. Lastly, RIN3 has implications for immune-mediated responses, notably through its influence on the PTK2B gene. This review aims to provide a concise overview of AD and delve into the role of the RIN3 gene in its pathogenesis.
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Affiliation(s)
- Mostafa Meshref
- Department of Neurology, Faculty of Medicine, Al-Azhar University, Cairo, Egypt
| | | | | | | | - Faris Ayasra
- Faculty of Medicine, The Hashemite University, Zarqa, Jordan
| | | | - Mohamed S Attia
- Department of Pharmaceutics, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt
| | | | - Hanaa Elsayed
- Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Ali Shalash
- Department of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Eshak I Bahbah
- Faculty of Medicine, Al-Azhar University, Damietta, Egypt.
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8
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Lui KK, Dave A, Sprecher KE, Chappel-Farley MG, Riedner BA, Heston MB, Taylor CE, Carlsson CM, Okonkwo OC, Asthana S, Johnson SC, Bendlin BB, Mander BA, Benca RM. Older adults at greater risk for Alzheimer's disease show stronger associations between sleep apnea severity in REM sleep and verbal memory. Alzheimers Res Ther 2024; 16:102. [PMID: 38725033 PMCID: PMC11080222 DOI: 10.1186/s13195-024-01446-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 04/01/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Obstructive sleep apnea (OSA) increases risk for cognitive decline and Alzheimer's disease (AD). While the underlying mechanisms remain unclear, hypoxemia during OSA has been implicated in cognitive impairment. OSA during rapid eye movement (REM) sleep is usually more severe than in non-rapid eye movement (NREM) sleep, but the relative effect of oxyhemoglobin desaturation during REM versus NREM sleep on memory is not completely characterized. Here, we examined the impact of OSA, as well as the moderating effects of AD risk factors, on verbal memory in a sample of middle-aged and older adults with heightened AD risk. METHODS Eighty-one adults (mean age:61.7 ± 6.0 years, 62% females, 32% apolipoprotein E ε4 allele (APOE4) carriers, and 70% with parental history of AD) underwent clinical polysomnography including assessment of OSA. OSA features were derived in total, NREM, and REM sleep. REM-NREM ratios of OSA features were also calculated. Verbal memory was assessed with the Rey Auditory Verbal Learning Test (RAVLT). Multiple regression models evaluated the relationships between OSA features and RAVLT scores while adjusting for sex, age, time between assessments, education years, body mass index (BMI), and APOE4 status or parental history of AD. The significant main effects of OSA features on RAVLT performance and the moderating effects of AD risk factors (i.e., sex, age, APOE4 status, and parental history of AD) were examined. RESULTS Apnea-hypopnea index (AHI), respiratory disturbance index (RDI), and oxyhemoglobin desaturation index (ODI) during REM sleep were negatively associated with RAVLT total learning and long-delay recall. Further, greater REM-NREM ratios of AHI, RDI, and ODI (i.e., more events in REM than NREM) were related to worse total learning and recall. We found specifically that the negative association between REM ODI and total learning was driven by adults 60 + years old. In addition, the negative relationships between REM-NREM ODI ratio and total learning, and REM-NREM RDI ratio and long-delay recall were driven by APOE4 carriers. CONCLUSION Greater OSA severity, particularly during REM sleep, negatively affects verbal memory, especially for people with greater AD risk. These findings underscore the potential importance of proactive screening and treatment of REM OSA even if overall AHI appears low.
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Affiliation(s)
- Kitty K Lui
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Abhishek Dave
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
- Department of Cognitive Sciences, University of California, Irvine, CA, USA
| | - Kate E Sprecher
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Miranda G Chappel-Farley
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - Brady A Riedner
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Margo B Heston
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Chase E Taylor
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | - Cynthia M Carlsson
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Ozioma C Okonkwo
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sterling C Johnson
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Barbara B Bendlin
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.
- Department of Cognitive Sciences, University of California, Irvine, CA, USA.
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
| | - Ruth M Benca
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA.
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, NC, USA.
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9
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Andrews SJ, Jonson C, Fulton-Howard B, Renton AE, Yokoyama JS, Yaffe K. The Role of Genomic-Informed Risk Assessments in Predicting Dementia Outcomes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.27.24306488. [PMID: 38903124 PMCID: PMC11188112 DOI: 10.1101/2024.04.27.24306488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Importance By integrating genetic and clinical risk factors into genomic-informed dementia risk reports, healthcare providers can offer patients detailed risk profiles to facilitate understanding of individual risk and support the implementation of personalized strategies for promoting brain health. Objective To develop a genomic-informed risk assessment composed of family history, genetic, and clinical risk factors and, in turn, evaluate how the risk assessment predicted incident dementia. Design This longitudinal study included data from two clinical case-control cohorts with an average of 6.6 visits. Secondary analyses were conducted from July 2023 - March 2024. Setting Data were previously collected across multiple US locations from 1994 to 2023. Participants Older adults aged 55+ with whole-genome sequencing and dementia-free at baseline. Exposures An additive score comprising the modified Cardiovascular Risk Factors, Aging, and Incidence of Dementia Risk Score (mCAIDE), family history of dementia, APOE genotype, and an AD polygenic risk score. Main Outcomes and Measures The risk of progression to all-cause dementia was evaluated using Cox-proportional hazard models (hazard ratios with 95% confidence intervals [OR 9%CI]). Results A total of 3,429 older adults were included (aged 75 ± 7 years; 59% female; 75% non-Latino White, 15% Black, 5.2% Latino, 3.6% other, and 0.4% Asian; 27% MCI), with 751 participants progressing to dementia. The most common high-risk indicator was a family history of dementia (56%), followed by APOE*ε4 genotype (36%), high mCAIDE score (34%), and high AD-PRS (11%). Most participants had at least one high-risk indicator, with 39% having one, 32% two, 9.8% three, and 1% four. The presence of 1, 2, 3, or 4 risk indicators was associated with a doubling (HR = 1.72, CI: 1.34-2.22, p = 2.5e-05), tripling (HR = 3.09, CI: 2.41-3.95, p = 4.4e-19), quadrupling (HR = 4.46, CI: 3.34-5.94, p = 2.2e-24), and a twelvefold increase (HR = 12.15, CI: 7.33-20.14, p = 3.2e-22) in dementia risk. Conclusion & Relevance We found that most participants in memory and aging clinics had at least one high-risk indicator for dementia. Furthermore, we observed a dose-response relationship where a greater number of risk indicators was associated with an increased risk of incident dementia.
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Affiliation(s)
- Shea J. Andrews
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, USA
| | - Caroline Jonson
- Department of Neurology, University of California San Francisco, San Francisco, USA
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD USA 20892
- DataTecnica LLC, Washington, DC USA 20037
| | - Brian Fulton-Howard
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Alan E Renton
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Jennifer S Yokoyama
- Department of Neurology, University of California San Francisco, San Francisco, USA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, USA
- Department of Neurology, University of California San Francisco, San Francisco, USA
- Department of Epidemiology and Biostatistics, University of California
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10
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Dounavi ME, McKiernan E, Langsen M, Gregory S, Muniz-Terrera G, Prats-Sedano MA, Mada MO, Williams GB, Lawlor B, Naci L, Mackay C, Koychev I, Malhotra P, Ritchie K, Ritchie CW, Su L, Waldman AD, O’ Brien JT. Investigating the brain's neurochemical profile at midlife in relation to dementia risk factors. Brain Commun 2024; 6:fcae138. [PMID: 38779354 PMCID: PMC11109818 DOI: 10.1093/braincomms/fcae138] [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: 07/24/2023] [Revised: 01/18/2024] [Accepted: 04/15/2024] [Indexed: 05/25/2024] Open
Abstract
Changes in the brain's physiology in Alzheimer's disease are thought to occur early in the disease's trajectory. In this study our aim was to investigate the brain's neurochemical profile in a midlife cohort in relation to risk factors for future dementia using single voxel proton magnetic resonance spectroscopy. Participants in the multi-site PREVENT-Dementia study (age range 40-59 year old) underwent 3T magnetic resonance spectroscopy with the spectroscopy voxel placed in the posterior cingulate/precuneus region. Using LCModel, we quantified the absolute concentrations of myo-inositol, total N-acetylaspartate, total creatine, choline, glutathione and glutamate-glutamine for 406 participants (mean age 51.1; 65.3% female). Underlying partial volume effects were accounted for by applying a correction for the presence of cerebrospinal fluid in the magnetic resonance spectroscopy voxel. We investigated how metabolite concentrations related to apolipoprotein ɛ4 genotype, dementia family history, a risk score (Cardiovascular Risk Factors, Aging and Incidence of Dementia -CAIDE) for future dementia including non-modifiable and potentially-modifiable factors and dietary patterns (adherence to Mediterranean diet). Dementia family history was associated with decreased total N-acetylaspartate and no differences were found between apolipoprotein ɛ4 carriers and non-carriers. A higher Cardiovascular Risk Factors, Aging, and Incidence of Dementia score related to higher myo-inositol, choline, total creatine and glutamate-glutamine, an effect which was mainly driven by older age and a higher body mass index. Greater adherence to the Mediterranean diet was associated with lower choline, myo-inositol and total creatine; these effects did not survive correction for multiple comparisons. The observed associations suggest that at midlife the brain demonstrates subtle neurochemical changes in relation to both inherited and potentially modifiable risk factors for future dementia.
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Affiliation(s)
- Maria-Eleni Dounavi
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SP, UK
| | - Elizabeth McKiernan
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SP, UK
| | - Michael Langsen
- Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Sarah Gregory
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, EH16 4UX, UK
| | - Graciela Muniz-Terrera
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, EH16 4UX, UK
- Heritage College of Osteopathic Medicine, Ohio University, Athens, OH 45701, USA
| | | | - Marius Ovidiu Mada
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK
| | - Guy B Williams
- Department of Clinical Neurosciences and Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Brian Lawlor
- Institute of Neuroscience, Trinity College Dublin, University of Dublin, Dublin, D02 PX31, Ireland
| | - Lorina Naci
- Institute of Neuroscience, Trinity College Dublin, University of Dublin, Dublin, D02 PX31, Ireland
| | - Clare Mackay
- Department of Psychiatry, Oxford University, Oxford, OX3 7JX, UK
| | - Ivan Koychev
- Department of Psychiatry, Oxford University, Oxford, OX3 7JX, UK
| | - Paresh Malhotra
- Department of Brain Sciences, Imperial College Healthcare NHS Trust, London, W12 0NN, UK
| | - Karen Ritchie
- INM, Univ Montpellier, INSERM, Montpellier, 34090, France
| | - Craig W Ritchie
- Centre for Dementia Prevention, University of Edinburgh, Edinburgh, EH16 4UX, UK
| | - Li Su
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SP, UK
- Sheffield Institute of Translational Neuroscience, University of Sheffield, Sheffield, S10 2HQ, UK
| | - Adam D Waldman
- Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Department of Brain Sciences, Imperial College Healthcare NHS Trust, London, W12 0NN, UK
| | - John T O’ Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SP, UK
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11
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Ceyhan B, Nategh P, Neghabi M, LaMar JA, Konjalwar S, Rodriguez P, Hahn MK, Gross M, Grumbar G, Salleng KJ, Blakely RD, Ranji M. Optical Imaging Demonstrates Tissue-Specific Metabolic Perturbations in Mblac1 Knockout Mice. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE 2024; 12:298-305. [PMID: 38410184 PMCID: PMC10896421 DOI: 10.1109/jtehm.2024.3355962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 12/10/2023] [Accepted: 01/15/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVE Metabolic changes have been extensively documented in neurodegenerative brain disorders, including Parkinson's disease and Alzheimer's disease (AD). Mutations in the C. elegans swip-10 gene result in dopamine (DA) dependent motor dysfunction accompanied by DA neuron degeneration. Recently, the putative human ortholog of swip-10 (MBLAC1) was implicated as a risk factor in AD, a disorder that, like PD, has been associated with mitochondrial dysfunction. Interestingly, the AD risk associated with MBLAC1 arises in subjects with cardiovascular morbidity, suggesting a broader functional insult arising from reduced MBLAC1 protein expression and one possibly linked to metabolic alterations. METHODS Our current studies, utilizing Mblac1 knockout (KO) mice, seek to determine whether mitochondrial respiration is affected in the peripheral tissues of these mice. We quantified the levels of mitochondrial coenzymes, NADH, FAD, and their redox ratio (NADH/FAD, RR) in livers and kidneys of wild-type (WT) mice and their homozygous KO littermates of males and females, using 3D optical cryo-imaging. RESULTS Compared to WT, the RR of livers from KO mice was significantly reduced, without an apparent sex effect, driven predominantly by significantly lower NADH levels. In contrast, no genotype and sex differences were observed in kidney samples. Serum analyses of WT and KO mice revealed significantly elevated glucose levels in young and aged KO adults and diminished cholesterol levels in the aged KOs, consistent with liver dysfunction. DISCUSSION/CONCLUSION As seen with C. elegans swip-10 mutants, loss of MBLAC1 protein results in metabolic changes that are not restricted to neural cells and are consistent with the presence of peripheral comorbidities accompanying neurodegenerative disease in cases where MBLAC1 expression changes impact risk.
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Affiliation(s)
- Busenur Ceyhan
- Biophotonics LaboratoryDepartment of Electrical Engineering and Computer Science, College of Engineering and Computer ScienceFlorida Atlantic UniversityBoca RatonFL33431USA
| | - Parisa Nategh
- Biophotonics LaboratoryDepartment of Electrical Engineering and Computer Science, College of Engineering and Computer ScienceFlorida Atlantic UniversityBoca RatonFL33431USA
| | - Mehrnoosh Neghabi
- Biophotonics LaboratoryDepartment of Electrical Engineering and Computer Science, College of Engineering and Computer ScienceFlorida Atlantic UniversityBoca RatonFL33431USA
| | - Jacob A. LaMar
- Department of Biomedical ScienceCharles E. Schmidt College of MedicineFlorida Atlantic UniversityBoca RatonFL33431USA
| | - Shalaka Konjalwar
- Biophotonics LaboratoryDepartment of Electrical Engineering and Computer Science, College of Engineering and Computer ScienceFlorida Atlantic UniversityBoca RatonFL33431USA
| | - Peter Rodriguez
- Department of Biomedical ScienceCharles E. Schmidt College of MedicineFlorida Atlantic UniversityBoca RatonFL33431USA
| | - Maureen K. Hahn
- Department of Biomedical ScienceCharles E. Schmidt College of MedicineFlorida Atlantic UniversityBoca RatonFL33431USA
- Stiles-Nicholson Brain Institute, Florida Atlantic UniversityJupiterFL33458USA
| | - Matthew Gross
- Department of Biomedical ScienceCharles E. Schmidt College of MedicineFlorida Atlantic UniversityBoca RatonFL33431USA
| | - Gregory Grumbar
- Department of Biomedical ScienceCharles E. Schmidt College of MedicineFlorida Atlantic UniversityBoca RatonFL33431USA
| | - Kenneth J. Salleng
- Division of Research, Comparative MedicineFlorida Atlantic UniversityBoca RatonFL33431USA
| | - Randy D. Blakely
- Department of Biomedical ScienceCharles E. Schmidt College of MedicineFlorida Atlantic UniversityBoca RatonFL33431USA
- Stiles-Nicholson Brain Institute, Florida Atlantic UniversityJupiterFL33458USA
| | - Mahsa Ranji
- Biophotonics LaboratoryDepartment of Electrical Engineering and Computer Science, College of Engineering and Computer ScienceFlorida Atlantic UniversityBoca RatonFL33431USA
- Stiles-Nicholson Brain Institute, Florida Atlantic UniversityJupiterFL33458USA
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12
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de Melo Queiroz E, Marques Couto C, da Cruz Mecone CA, Souza Lima Macedo W, Caramelli P. Clinical profile and survival analysis of Alzheimer's disease patients in a Brazilian cohort. Neurol Sci 2024; 45:129-137. [PMID: 37540343 DOI: 10.1007/s10072-023-06937-z] [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: 02/21/2023] [Accepted: 06/30/2023] [Indexed: 08/05/2023]
Abstract
OBJECTIVE To investigate the clinical and epidemiological characteristics of a large sample of patients with dementia due to Alzheimer's disease (AD) who were followed up at a cognitive neurology outpatient clinic. METHODS Retrospective, longitudinal, and descriptive design. We collected data from patients with dementia due to AD who visited the outpatient clinic of the SARAH Network of Rehabilitation Hospitals in Rio de Janeiro, Brazil, between May 2009 and June 2019. The evaluated characteristics included age of onset, sex, education, family history, comorbidities, time until diagnosis, and survival rates. RESULTS Overall, 1434 patients were evaluated, 74% of whom were women, with a mean age at symptom onset of 72.7 years and 75.8 at diagnosis. A positive family history was reported in 602 patients, with a first-degree relative in 86.3% of them. Hypertension was the most prevalent comorbidity, affecting 61.2% of the sample, and 16.2% were classified as having early-onset AD. The mean survival rate for the sample population was 112.8 months (9.4 years). The sample population was positively affected by dyslipidaemia. CONCLUSIONS This study presents a clinical and epidemiological analysis of a large and diverse group of patients with AD. The study confirms previous observations such as a higher prevalence of AD in women, low education among sufferers, and the presence of a family history. The study also found that comorbidities significantly affected patient survival and provides new data on the survival rates of patients with early and late AD in the Brazilian population.
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Affiliation(s)
- Elisa de Melo Queiroz
- SARAH Network of Rehabilitation Hospitals, Avenida Abelardo Bueno, 1500, Jacarepaguá, Rio de Janeiro, RJ, 22775-040, Brazil.
| | - Christian Marques Couto
- SARAH Network of Rehabilitation Hospitals, Avenida Abelardo Bueno, 1500, Jacarepaguá, Rio de Janeiro, RJ, 22775-040, Brazil
| | - Cláudio Antônio da Cruz Mecone
- SARAH Network of Rehabilitation Hospitals, Avenida Abelardo Bueno, 1500, Jacarepaguá, Rio de Janeiro, RJ, 22775-040, Brazil
| | - Waneska Souza Lima Macedo
- SARAH Network of Rehabilitation Hospitals, Avenida Abelardo Bueno, 1500, Jacarepaguá, Rio de Janeiro, RJ, 22775-040, Brazil
| | - Paulo Caramelli
- Behavioral and Cognitive Neurology Research Group, Faculdade de Medicina, Universidade Federal de Minas Gerais, Avenida Professor Alfredo Balena, 190 - Santa Efigênia, Belo Horizonte, 30130-100, Brazil
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13
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Lui K, Dave A, Sprecher K, Chappel-Farley M, Riedner B, Heston M, Taylor C, Carlsson C, Okonkwo O, Asthana S, Johnson S, Bendlin B, Mander B, Benca R. Older adults at greater risk for Alzheimer's disease show stronger associations between sleep apnea severity and verbal memory. RESEARCH SQUARE 2023:rs.3.rs-3683218. [PMID: 38076899 PMCID: PMC10705699 DOI: 10.21203/rs.3.rs-3683218/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Background Obstructive sleep apnea (OSA) increases risk for cognitive decline and Alzheimer's disease (AD). While the underlying mechanisms remain unclear, hypoxemia during OSA has been implicated in cognitive impairment. OSA during rapid eye movement (REM) sleep is usually more severe than in non-rapid eye movement (NREM) sleep, but the relative effect of oxyhemoglobin desaturation during REM versus NREM sleep on memory is not completely characterized. Here, we examined the impact of OSA, as well as the moderating effects of AD risk factors, on verbal memory in a sample of middle-aged and older adults with heightened AD risk. Methods Eighty-one adults (mean age:61.7±6.0 years, 62% females, 32% apolipoprotein E ε4 allele (APOE4) carriers, and 70% with parental history of AD) underwent clinical polysomnography including assessment of OSA. OSA features were derived in total, NREM, and REM sleep. REM-NREM ratios of OSA features were also calculated. Verbal memory was assessed with the Rey Auditory Verbal Learning Test (RAVLT). Multiple regression models evaluated the relationships between OSA features and RAVLT scores while adjusting for sex, age, time between assessments, education years, body mass index (BMI), and APOE4 status or parental history of AD. The significant main effects of OSA features on RAVLT performance and the moderating effects of AD risk factors (i.e., sex, age, APOE4 status, and parental history of AD) were examined. Results Apnea-hypopnea index (AHI), respiratory disturbance index (RDI), and oxyhemoglobin desaturation index (ODI) during REM sleep were negatively associated with RAVLT total learning and long-delay recall. Further, greater REM-NREM ratios of AHI, RDI, and ODI (i.e., more events in REM than NREM) were related to worse total learning and recall. We found specifically that the negative association between REM ODI and total learning was driven by adults 60+ years old. In addition, the negative relationships between REM-NREM ODI ratio and total learning and REM-NREM RDI ratio and long-delay recall were driven by APOE4 carriers. Conclusion Greater OSA severity, particularly during REM sleep, negatively affects verbal memory, especially for people with greater AD risk. These findings underscore the potential importance of proactive screening and treatment of REM OSA even if overall AHI appears low.
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Affiliation(s)
- Kitty Lui
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Abhishek Dave
- Department of Cognitive Sciences, University of California, Irvine
| | - Kate Sprecher
- Department of Population Health Sciences, University of Wisconsin-Madison
| | | | - Brady Riedner
- Department of Psychiatry, University of Wisconsin-Madison
| | - Margo Heston
- Department of Medicine, University of Wisconsin-Madison
| | - Chase Taylor
- Department of Neuroscience, University of Kentucky
| | - Cynthia Carlsson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison
| | - Ozioma Okonkwo
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison
| | - Sanjay Asthana
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison
| | - Sterling Johnson
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison
| | | | - Bryce Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine
| | - Ruth Benca
- Department of Psychiatry and Behavioral Medicine, Wake Forest University
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14
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Yakoub Y, Ashton NJ, Strikwerda-Brown C, Montoliu-Gaya L, Karikari TK, Kac PR, Gonzalez-Ortiz F, Gallego-Rudolf J, Meyer PF, St-Onge F, Schöll M, Soucy JP, Breitner JCS, Zetterberg H, Blennow K, Poirier J, Villeneuve S. Longitudinal blood biomarker trajectories in preclinical Alzheimer's disease. Alzheimers Dement 2023; 19:5620-5631. [PMID: 37294682 DOI: 10.1002/alz.13318] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 04/03/2023] [Accepted: 05/11/2023] [Indexed: 06/11/2023]
Abstract
INTRODUCTION Plasma biomarkers are altered years prior to Alzheimer's disease (AD) clinical onset. METHODS We measured longitudinal changes in plasma amyloid-beta (Aβ)42/40 ratio, pTau181, pTau231, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) in a cohort of older adults at risk of AD (n = 373 total, n = 229 with Aβ and tau positron emission tomography [PET] scans) considering genetic and demographic factors as possible modifiers of these markers' progression. RESULTS Aβ42/40 ratio concentrations decreased, while NfL and GFAP values increased over the 4-year follow-up. Apolipoprotein E (APOE) ε4 carriers showed faster increase in plasma pTau181 than non-carriers. Older individuals showed a faster increase in plasma NfL, and females showed a faster increase in plasma GFAP values. In the PET subsample, individuals both Aβ-PET and tau-PET positive showed faster plasma pTau181 and GFAP increase compared to PET-negative individuals. DISCUSSION Plasma markers can track biological change over time, with plasma pTau181 and GFAP markers showing longitudinal change in individuals with preclinical AD. HIGHLIGHTS Longitudinal increase of plasma pTau181 and glial fibrillary acidic protein (GFAP) can be measured in the preclinical phase of AD. Apolipoprotein E ε4 carriers experience faster increase in plasma pTau181 over time than non-carriers. Female sex showed accelerated increase in plasma GFAP over time compared to males. Aβ42/40 and pTau231 values are already abnormal at baseline in individuals with both amyloid and tau PET burden.
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Affiliation(s)
- Yara Yakoub
- Douglas Mental Health University Institute, Centre for Studies on the Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Maurice Wohl Clinical Neuroscience Institute, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Cherie Strikwerda-Brown
- Douglas Mental Health University Institute, Centre for Studies on the Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Laia Montoliu-Gaya
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Przemysław R Kac
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Fernando Gonzalez-Ortiz
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Jonathan Gallego-Rudolf
- Douglas Mental Health University Institute, Centre for Studies on the Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Pierre-François Meyer
- Douglas Mental Health University Institute, Centre for Studies on the Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Frédéric St-Onge
- Douglas Mental Health University Institute, Centre for Studies on the Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
| | - Michael Schöll
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jean-Paul Soucy
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - John C S Breitner
- Douglas Mental Health University Institute, Centre for Studies on the Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- McGill Centre for Integrative Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- UW Department of Medicine, School of Medicine and Public Health, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Judes Poirier
- Douglas Mental Health University Institute, Centre for Studies on the Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Sylvia Villeneuve
- Douglas Mental Health University Institute, Centre for Studies on the Prevention of Alzheimer's Disease (StoP-AD), Montreal, Quebec, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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15
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Byfield G, Starks TD, Luther R, Edwards CL, Lloyd SL, Caban-Holt A, Deon Adams L, Vance JM, Cuccaro M, Haines JL, Reitz C, Pericak-Vance MA, Byrd GS. Leveraging African American family connectors for Alzheimer's disease genomic studies. Alzheimers Dement 2023; 19:5437-5446. [PMID: 37212603 PMCID: PMC10663385 DOI: 10.1002/alz.13106] [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: 01/23/2023] [Revised: 03/22/2023] [Accepted: 03/23/2023] [Indexed: 05/23/2023]
Abstract
INTRODUCTION The underrepresentation of African Americans (AAs) in Alzheimer's disease (AD) research may limit potential benefits from translational applications. This article describes an approach to recruit AA families into an AD genomic study and characteristics of seeds (family connectors) used to overcome recruitment barriers of AA families into AD research. METHODS A four-step outreach and snowball sampling approach relying on family connectors was used to recruit AA families. Descriptive statistics of a profile survey were gathered to understand the demographic and health characteristics of family connectors. RESULTS Twenty-five AA families (117 participants) were enrolled in the study via family connectors. Most family connectors self-identified as female (88%), were 60 years of age or older (76%), and attained post-secondary education (77%). DISCUSSION Community-engaged strategies were essential to recruit AA families. Relationships between study coordinators and family connectors build trust early in the research process among AA families. HIGHLIGHTS Community events were most effective for recruiting African American families. Family connectors were primarily female, in good health, and highly educated. Systematic efforts by researchers are necessary to "sell" a study to participants.
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Affiliation(s)
- Grace Byfield
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27514, USA
| | - Takiyah D. Starks
- Maya Angelou Center for Health Equity, Wake Forest School of Medicine, Winston Salem, North Carolina, 27101, USA
| | | | - Christopher L. Edwards
- College of Arts, Social Sciences and Humanities, North Carolina Central University, Durham, North Carolina, 27707, USA
| | - Shawnta L. Lloyd
- Maya Angelou Center for Health Equity, Wake Forest School of Medicine, Winston Salem, North Carolina, 27101, USA
| | - Allison Caban-Holt
- Maya Angelou Center for Health Equity, Wake Forest School of Medicine, Winston Salem, North Carolina, 27101, USA
| | - Larry Deon Adams
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA
| | - Jeffery M. Vance
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, 33136, USA
| | - Michael Cuccaro
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, 33136, USA
- Department of Psychology & Behavioral Sciences, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA
| | - Jonathan L. Haines
- Cleveland Institute for Computational Biology and Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, 44106, USA
| | - Christiane Reitz
- Gertrude H. Sergievsky Center and the Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University, New York, New York, 10032, USA
| | - Margaret A. Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, 33136, USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL, 33136, USA
| | - Goldie S. Byrd
- Maya Angelou Center for Health Equity, Wake Forest School of Medicine, Winston Salem, North Carolina, 27101, USA
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Ramos AA, Galiano-Castillo N, Machado L. Cognitive Functioning of Unaffected First-degree Relatives of Individuals With Late-onset Alzheimer's Disease: A Systematic Literature Review and Meta-analysis. Neuropsychol Rev 2023; 33:659-674. [PMID: 36057684 PMCID: PMC10770217 DOI: 10.1007/s11065-022-09555-2] [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: 12/05/2021] [Accepted: 06/10/2022] [Indexed: 10/14/2022]
Abstract
First-degree relatives of individuals with late-onset Alzheimer's disease (LOAD) are at increased risk for developing dementia, yet the associations between family history of LOAD and cognitive dysfunction remain unclear. In this quantitative review, we provide the first meta-analysis on the cognitive profile of unaffected first-degree blood relatives of LOAD-affected individuals compared to controls without a family history of LOAD. A systematic literature search was conducted in PsycINFO, PubMed /MEDLINE, and Scopus. We fitted a three-level structural equation modeling meta-analysis to control for non-independent effect sizes. Heterogeneity and risk of publication bias were also investigated. Thirty-four studies enabled us to estimate 218 effect sizes across several cognitive domains. Overall, first-degree relatives (n = 4,086, mean age = 57.40, SD = 4.71) showed significantly inferior cognitive performance (Hedges' g = -0.16; 95% CI, -0.25 to -0.08; p < .001) compared to controls (n = 2,388, mean age = 58.43, SD = 5.69). Specifically, controls outperformed first-degree relatives in language, visuospatial and verbal long-term memory, executive functions, verbal short-term memory, and verbal IQ. Among the first-degree relatives, APOE ɛ4 carriership was associated with more significant dysfunction in cognition (g = -0.24; 95% CI, -0.38 to -0.11; p < .001) compared to non-carriers (g = -0.14; 95% CI, -0.28 to -0.01; p = .04). Cognitive test type was significantly associated with between-group differences, accounting for 65% (R23 = .6499) of the effect size heterogeneity in the fitted regression model. No evidence of publication bias was found. The current findings provide support for mild but robust cognitive dysfunction in first-degree relatives of LOAD-affected individuals that appears to be moderated by cognitive domain, cognitive test type, and APOE ɛ4.
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Affiliation(s)
- Ari Alex Ramos
- Department of Psychology and Brain Health Research Centre, University of Otago, Dunedin, New Zealand.
- Brain Research New Zealand, Auckland, New Zealand.
- Department of Psychology, Pontifical Catholic University of Paraná, Rua Imaculada Conceição, 1155, Curitiba, CEP 80.215-901, Brazil.
| | - Noelia Galiano-Castillo
- Department of Physical Therapy, Health Sciences Faculty, "Cuidate" from Biomedical Group (BIO277), Instituto de Investigación Biosanitaria (ibs.GRANADA), and Sport and Health Research Center (IMUDs), Granada, Spain, University of Granada, Granada, Spain
| | - Liana Machado
- Department of Psychology and Brain Health Research Centre, University of Otago, Dunedin, New Zealand
- Brain Research New Zealand, Auckland, New Zealand
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Vasilevskaya A, Martinez-Valbuena I, Anastassiadis C, Taghdiri F, Khodadadi M, Tarazi A, Green R, Colella B, Wennberg R, Mikulis D, Davis KD, Kovacs GG, Tator C, Tartaglia MC. Misfolded α-Synuclein in Cerebrospinal Fluid of Contact Sport Athletes. Mov Disord 2023; 38:2125-2131. [PMID: 37792643 DOI: 10.1002/mds.29621] [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: 06/14/2023] [Revised: 08/30/2023] [Accepted: 09/11/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Misfolded α-synuclein in Parkinson's disease (PD) and dementia with Lewy bodies (DLB) can be detected using the real-time quaking-induced conversion (RT-QuIC) technique in cerebrospinal fluid (CSF). OBJECTIVES The objectives are (1) to examine misfolded CSF α-synuclein incidence, and (2) to compare clinical presentation, sports history, brain volumes, and RT-QuIC α-synuclein positivity in former athletes. METHODS Thirty former athletes with magnetic resonance imaging, neuropsychological testing, and CSF analyzed for phosphorylated tau 181 (p-tau), total tau (t-tau), amyloid-β 42 (Aβ42), and neurofilament light chain (NfL). CSF α-synuclein was detected using RT-QuIC. RESULTS Six (20%) former athletes were α-synuclein positive. α-Synuclein positive athletes were similar to α-synuclein negative athletes on demographics, sports history, clinical features, CSF p-tau, t-tau, Aβ42, and NfL; however, had lower grey matter volumes in the right inferior orbitofrontal, right anterior insula and right olfactory cortices. CONCLUSIONS α-Synuclein RT-QuIC analysis of CSF may be useful as a prodromal biofluid marker of PD and DLB. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Anna Vasilevskaya
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Ivan Martinez-Valbuena
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Chloe Anastassiadis
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Foad Taghdiri
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
| | - Mozhgan Khodadadi
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
| | - Apameh Tarazi
- Division of Neurology, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
| | - Robin Green
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- KITE Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Brenda Colella
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- KITE Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Richard Wennberg
- Division of Neurology, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
| | - David Mikulis
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Division of Neuroradiology, Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada
| | - Karen Deborah Davis
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Division of Brain, Imaging, and Behaviour; Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Gabor G Kovacs
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Laboratory Medicine Program and Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Charles Tator
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
- Division of Neurosurgery, Toronto Western Hospital, Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
- Canadian Concussion Centre, Toronto Western Hospital, Krembil Neuroscience Centre, University Health Network, Toronto, Ontario, Canada
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Oh DJ, Bae JB, Lipnicki DM, Han JW, Sachdev PS, Kim TH, Kwak KP, Kim BJ, Kim SG, Kim JL, Moon SW, Park JH, Ryu SH, Youn JC, Lee DY, Lee DW, Lee SB, Lee JJ, Jhoo JH, Skoog I, Najar J, Sterner TR, Guaita A, Vaccaro R, Rolandi E, Scarmeas N, Yannakoulia M, Kosmidis MH, Riedel-Heller SG, Roehr S, Dominguez J, Guzman MFD, Fowler KC, Lobo A, Saz P, Lopez-Anton R, Anstey KJ, Cherbuin N, Mortby ME, Brodaty H, Trollor J, Kochan N, Kim KW. Parental history of dementia and the risk of dementia: A cross-sectional analysis of a global collaborative study. Psychiatry Clin Neurosci 2023; 77:449-456. [PMID: 37165609 PMCID: PMC10524874 DOI: 10.1111/pcn.13561] [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: 01/03/2023] [Revised: 04/06/2023] [Accepted: 05/02/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Parental history of dementia appears to increase the risk of dementia, but there have been inconsistent results. We aimed to investigate whether the association between parental history of dementia and the risk of dementia are different by dementia subtypes and sex of parent and offspring. METHODS For this cross-sectional study, we harmonized and pooled data for 17,194 older adults from nine population-based cohorts of eight countries. These studies conducted face-to-face diagnostic interviews, physical and neurological examinations, and neuropsychological assessments to diagnose dementia. We investigated the associations of maternal and paternal history of dementia with the risk of dementia and its subtypes in offspring. RESULTS The mean age of the participants was 72.8 ± 7.9 years and 59.2% were female. Parental history of dementia was associated with higher risk of dementia (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.15-1.86) and Alzheimer's disease (AD) (OR = 1.72, 95% CI = 1.31-2.26), but not with the risk of non-AD. This was largely driven by maternal history of dementia, which was associated with the risk of dementia (OR = 1.51, 95% CI = 1.15-1.97) and AD (OR = 1.80, 95% CI = 1.33-2.43) whereas paternal history of dementia was not. These results remained significant when males and females were analyzed separately (OR = 2.14, 95% CI = 1.28-3.55 in males; OR = 1.68, 95% CI = 1.16-2.44 for females). CONCLUSIONS Maternal history of dementia was associated with the risk of dementia and AD in both males and females. Maternal history of dementia may be a useful marker for identifying individuals at higher risk of AD and stratifying the risk for AD in clinical trials.
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Affiliation(s)
- Dae Jong Oh
- Workplace Mental Health Institute, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jong Bin Bae
- Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea
| | - Darren M Lipnicki
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Ji Won Han
- Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Dementia Collaborative Research Centre, University of New South Wales, Sydney, Australia
| | - Tae Hui Kim
- Department of Psychiatry, Yonsei University Wonju Severance Christian Hospital, Wonju, South Korea
| | - Kyung Phil Kwak
- Department of Psychiatry, Dongguk University Gyeongju Hospital, Gyeongju, South Korea
| | - Bong Jo Kim
- Department of Psychiatry, Gyeongsang National University, School of Medicine, Jinju, South Korea
| | - Shin Gyeom Kim
- Department of Neuropsychiatry, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea
| | - Jeong Lan Kim
- Department of Psychiatry, School of Medicine, Chungnam National University, Daejeon, South Korea
| | - Seok Woo Moon
- Department of Psychiatry, School of Medicine, Konkuk University and Konkuk University Chungju Hospital, Chungju, South Korea
| | - Joon Hyuk Park
- Department of Neuropsychiatry, Jeju National University Hospital, Jeju, South Korea
| | - Seung-Ho Ryu
- Department of Psychiatry, School of Medicine, Konkuk University and Konkuk University Medical Center, Seoul, South Korea
| | - Jong Chul Youn
- Department of Neuropsychiatry, Kyunggi Provincial Hospital for the Elderly, Yongin, South Korea
| | - Dong Young Lee
- Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Dong Woo Lee
- Department of Neuropsychiatry, Inje University Sanggye Paik Hospital, Seoul, South Korea
| | - Seok Bum Lee
- Department of Psychiatry, Dankook University Hospital, Cheonan, South Korea
| | - Jung Jae Lee
- Department of Psychiatry, Dankook University Hospital, Cheonan, South Korea
| | - Jin Hyeong Jhoo
- Department of Neuropsychiatry, Kangwon National University Hospital, Chuncheon, South Korea
| | - Ingmar Skoog
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), at the University of Gothenburg,Mölndal, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - Jenna Najar
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), at the University of Gothenburg,Mölndal, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - Therese R Sterner
- Department of Psychiatry and Neurochemistry, Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP), at the University of Gothenburg,Mölndal, Sweden
| | - Antonio Guaita
- Golgi Cenci Foundation, c. San Martino 10, 20081 Abbiategrasso (MI), Italy
| | - Roberta Vaccaro
- Golgi Cenci Foundation, c. San Martino 10, 20081 Abbiategrasso (MI), Italy
| | - Elena Rolandi
- Golgi Cenci Foundation, c. San Martino 10, 20081 Abbiategrasso (MI), Italy
| | - Nikolaos Scarmeas
- Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, Columbia University, New York, NY
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Mary H Kosmidis
- Lab of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Susanne Roehr
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
- Global Brain Health Institute (GBHI), Trinity College Dublin, Dublin, Ireland
| | - Jacqueline Dominguez
- Institute for Neurosciences, St. Luke’s Medical Center, Quezon City, Philippines
- Institute for Dementia Care Asia, Quezon City, Philippines
| | | | | | - Antonio Lobo
- Department of Medicine and Psychiatry. Zaragoza University. Aragon, Spain
| | - Pedro Saz
- Department of Medicine and Psychiatry. Zaragoza University. Aragon, Spain
| | - Raul Lopez-Anton
- Departamento de Psicología y Sociología. Universidad de Zaragoza, Aragon, Spain
| | - Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, Australia
- Centre for Mental Health Research, Australian National University, Canberra, Australia
- Neuroscience Australia, Sydney, Australia
| | - Nicolas Cherbuin
- Centre for Mental Health Research, Australian National University, Canberra, Australia
| | - Moyra E Mortby
- School of Psychology, University of New South Wales, Sydney, Australia
- Neuroscience Australia, Sydney, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW Medicine & Health, University of New South Wales, Sydney, Australia
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia
| | - Ki Woong Kim
- Department of Psychiatry, Seoul National University, College of Medicine, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Brain and Cognitive Science, Seoul National University College of Natural Sciences, Seoul, South Korea
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Ramos‐Henderson M, Soto‐Añari M, Herrera‐Pino J, Porto MF, Camargo L, Hesse H, Ferrel‐Ortega † R, Quispe‐Ayala C, García de la Cadena C, Mendoza‐Ruvalcaba N, Caldichoury N, Castellanos C, Varón C, Aguilar D, Antezana R, Martinez J, Román N, Boza C, Ducassou A, Saldías C, López N. Factors associated with cognitive impairment in Latin American older adults: A cross-sectional observational study of COVID-19 confinement. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12427. [PMID: 37063389 PMCID: PMC10102893 DOI: 10.1002/dad2.12427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 02/10/2023] [Accepted: 03/12/2023] [Indexed: 04/18/2023]
Abstract
INTRODUCTION The effects of COVID-19 confinement have been severe, especially in older adults. Therefore, we analyzed the factors associated with cognitive impairment (CI) in Latin America (LA). METHODS We conducted a cross-sectional observational study with a total of 5245 older adults from 10 countries in LA. Measurement We used the Telephone Montreal Cognitive Assessment (T-MoCA) and the Eight-item Informant Interview to Differentiate Aging and Dementia (AD8) scale. RESULTS We found that age, depressive symptomatology, bone fractures, being widowed, having a family member with dementia, and unemployment were associated with an increased risk of CI. In contrast, higher education, hypertension with continuous treatment, quarantine, and keeping stimulating cognitive and physical activities were associated with a lower probability of CI. No significant association was found between suffering from diabetes or being retired and CI. DISCUSSION It is essential to conduct follow-up studies on these factors, considering their relationship with CI and the duration of confinement.
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Affiliation(s)
- Miguel Ramos‐Henderson
- Centro de Investigación e Innovación en Gerontología Aplicada (CIGAP)Facultad de SaludUniversidad Santo TomásAntofagastaChile
| | - Marcio Soto‐Añari
- Departamento de PsicologíaUniversidad Católica San PabloArequipaPerú
| | | | - María F. Porto
- Neuroscience AreaL'Institut d'Investigació Biomèdica de Bellvitge (IDIBELL)BarcelonaSpain
- Department of CognitionDevelopment and Educational PsychologyUniversitat de BarcelonaBarcelonaSpain
| | - Loida Camargo
- Facultad de Medicina, Departamento Médico, Grupo de investigación Neurociencia y Salud GlobalUniversidad de CartagenaCartagena de IndiasColombia
| | - Heike Hesse
- Observatorio COVID‐19Universidad Tecnológica CentroamericanaTegucigalpaHonduras
| | - Robert Ferrel‐Ortega †
- Programa de PsicologíaFacultad de Ciencias de la SaludUniversidad MagdalenaSanta MartaColombia
| | - Cesar Quispe‐Ayala
- Facultad de Derecho y Ciencias PolíticasUniversidad Nacional de HuancavelicaHuancavelicaPerú
| | - Claudia García de la Cadena
- Departamento de NeuropsicologíaFacultad de Ciencias SocialesUniversidad del Valle de GuatemalaGuatemala CityGuatema
| | - Neyda Mendoza‐Ruvalcaba
- Departamento de Ciencias de la Salud Enfermedad como Proceso IndividualUniversidad de GuadalajaraCutonalaMéxico
| | | | - Cesar Castellanos
- Dirección ejecutivaInstituto Dominicano para el Estudio de la Salud Integral y la Psicología Aplicada (IDESIP)Santo DomingoRepública Dominicana
| | - Claudia Varón
- Dirección ejecutivaFundación Acción Familiar Alzheimer Colombia‐AFACOLBogotáColombia
| | - Dolores Aguilar
- Facultad de Derecho y Ciencias PolíticasUniversidad Nacional de HuancavelicaHuancavelicaPerú
| | - Regulo Antezana
- Facultad de Derecho y Ciencias PolíticasUniversidad Nacional de HuancavelicaHuancavelicaPerú
| | - Juan Martinez
- Departmet of EducationUniversidad Ana G. MéndezSan JuanPuerto Rico
| | - Norbel Román
- Centro de Investigación en Hematología y Trastornos AfinesUniversidad de Costa RicaSan JoséCosta Rica
| | - Carolina Boza
- Centro de Investigación en Hematología y Trastornos AfinesUniversidad de Costa RicaSan JoséCosta Rica
| | - Alejandro Ducassou
- Vicerrectoría Regional y Escuela de PsicologiaFaculta de Medicina y Ciencias de la SaludUniversidad Mayor‐TemucoTemucoChile
| | - Carol Saldías
- Facultad de Ciencias de la SaludUniversidad San SebastiánValdiviaChile
| | - Norman López
- Departamento de Ciencias SocialesUniversidad de La CostaBarranquillaColombia
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Welikovitch LA, Dujardin S, Dunn AR, Fernandes AR, Khasnavis A, Chibnik LB, Kaczorowski CC, Hyman BT. Rate of tau propagation is a heritable disease trait in genetically diverse mouse strains. iScience 2023; 26:105983. [PMID: 36756365 PMCID: PMC9900390 DOI: 10.1016/j.isci.2023.105983] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 12/04/2022] [Accepted: 01/11/2023] [Indexed: 01/15/2023] Open
Abstract
The speed and scope of cognitive deterioration in Alzheimer's disease is highly associated with the advancement of tau neurofibrillary lesions across brain networks. We tested whether the rate of tau propagation is a heritable disease trait in a large, well-characterized cohort of genetically divergent mouse strains. Using an AAV-based model system, P301L-mutant human tau (hTau) was introduced into the entorhinal cortex of mice derived from 18 distinct lines. The extent of tau propagation was measured by distinguishing hTau-producing cells from neurons that were recipients of tau transfer. Heritability calculation revealed that 43% of the variability in tau spread was due to genetic variants segregating across background strains. Strain differences in glial markers were also observed, but did not correlate with tau propagation. Identifying unique genetic variants that influence the progression of pathological tau may uncover novel molecular targets to prevent or slow the pace of tau spread and cognitive decline.
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Affiliation(s)
- Lindsay A. Welikovitch
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Simon Dujardin
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Amy R. Dunn
- The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | | | - Anita Khasnavis
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Lori B. Chibnik
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | | | - Bradley T. Hyman
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Harvard Medical School, Boston, MA 02115, USA
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21
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Ebinger JE, Driver MP, Botting P, Wang M, Cheng S, Tan ZS. Association of blood pressure variability during acute care hospitalization and incident dementia. Front Neurol 2023; 14:1085885. [PMID: 36824417 PMCID: PMC9941567 DOI: 10.3389/fneur.2023.1085885] [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: 10/31/2022] [Accepted: 01/17/2023] [Indexed: 02/10/2023] Open
Abstract
Background and objectives Recognized as a potential risk factor for Alzheimer's disease and related dementias (ADRD), blood pressure variability (BPV) could be leveraged to facilitate identification of at-risk individuals at a population level. Granular BPV data are available during acute care hospitalization periods for potentially high-risk patients, but the incident ADRD risk association with BPV measured in this setting is unknown. Our objective was to evaluate the relation of BPV, measured during acute care hospitalization, and incidence of ADRD. Methods We retrospectively studied adults, without a prior ADRD diagnosis, who were admitted to a large quaternary care medical center in Southern California between January 1, 2013 and December 31, 2019. For all patients, determined BPV, calculated as variability independent of the mean (VIM), using blood pressure readings obtained as part of routine clinical care. We used multivariable Cox proportional hazards regression to examine the association between BP VIM during hospitalization and the development of incident dementia, determined by new ICD-9/10 coding or the new prescription of dementia medication, occurring at least 2 years after the index hospitalization. Results Of 81,892 adults hospitalized without a prior ADRD diagnosis, 2,442 (2.98%) went on to develop ADRD (2.6 to 5.2 years after hospitalization). In multivariable-adjusted Cox models, both systolic (HR 1.05, 95% CI 1.00-1.09) and diastolic (1.06, 1.02-1.10) VIM were associated with incident ADRD. In pre-specified stratified analyses, the VIM associations with incident ADRD were most pronounced in individuals over age 60 years and among those with renal disease or hypertension. Results were similar when repeated to include incident ADRD diagnoses made at least 1 or 3 years after index hospitalization. Discussion We found that measurements of BPV from acute care hospitalizations can be used to identify individuals at risk for developing a diagnosis of ADRD within approximately 5 years. Use of the readily accessible BPV measure may allow healthcare systems to risk stratify patients during periods of intense patient-provider interaction and, in turn, facilitate engagement in ADRD screening programs.
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Affiliation(s)
- Joseph E. Ebinger
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States,*Correspondence: Joseph E. Ebinger ✉
| | - Matthew P. Driver
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Patrick Botting
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Minhao Wang
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Susan Cheng
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Zaldy S. Tan
- Department of Neurology and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States,David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
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Ben-Ami L, Ravona-Springer R, Tsarfaty G, Raizman R, Shumacher A, Sharvit-Ginon I, Greenbaum L, Bendlin BB, Okun E, Heymann A, Schnaider Beeri M, Livny A. Neural correlates of subjective cognitive decline in adults at high risk for Alzheimer's disease. Front Aging Neurosci 2023; 15:1067196. [PMID: 36819726 PMCID: PMC9930909 DOI: 10.3389/fnagi.2023.1067196] [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: 10/11/2022] [Accepted: 01/16/2023] [Indexed: 02/04/2023] Open
Abstract
Introduction Recently, interest has emerged in subjective cognitive decline (SCD) as a potential precursor to Alzheimer's disease (AD) dementia. Whether individuals with SCD harbor brain alterations in midlife, when AD-related pathology begins, is yet to be elucidated. Furthermore, the role of apolipoprotein ε4 (APOE ε4) allele, a robust AD risk factor, in the relationship between SCD and brain alterations is unknown. We examined whether APOE genotype modulates the association of SCD with brain measures in individuals at high AD risk. Methods Middle-aged adults with parental history of AD dementia underwent magnetic resonance imaging (MRI) and the Memory Functioning Questionnaire. Regression analysis tested the extent to which SCD was associated with activation during an functional MRI (fMRI) working-memory task, and white-matter microstructure. APOE ε4 genotype was tested as a moderator. Results Among APOE ε4 carriers, but not among non-carriers, SCD was associated with higher activation in the anterior cingulate (p = 0.003), inferior, middle, and superior frontal cortices (p = 0.041, p = 0.048, p = 0.037, respectively); and with lower fractional anisotropy in the uncinate fasciculus (p = 0.002), adjusting for age, sex, and education. Conclusion In middle aged, cognitively normal individuals at high AD risk, higher SCD was associated with greater brain alterations possibly reflecting incipient AD pathology. When accompanied by a family history of AD and an APOE ε4 allele, SCD may have important clinical value, allowing a window for early intervention and for participants' stratification in AD prevention clinical trials.
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Affiliation(s)
- Liat Ben-Ami
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
- The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
| | - Ramit Ravona-Springer
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Memory Clinic, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Galia Tsarfaty
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Reut Raizman
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
| | - Aleeza Shumacher
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
| | - Inbal Sharvit-Ginon
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Department of Psychology, Bar-Ilan University, Ramat Gan, Israel
| | - Lior Greenbaum
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Ramat Gan, Israel
| | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, United States
| | - Eitan Okun
- The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
- The Paul Feder Laboratory on Alzheimer’s Disease Research, Bar-Ilan University, Ramat Gan, Israel
| | - Anthony Heymann
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Maccabi Healthcare Services, Tel Aviv, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Abigail Livny
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
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23
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Valentine D, Teerlink CC, Farnham JM, Rowe K, Kaddas H, Tschanz J, Kauwe JSK, Cannon-Albright LA. Comorbidity and Cancer Disease Rates among Those at High-Risk for Alzheimer's Disease: A Population Database Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192416419. [PMID: 36554301 PMCID: PMC9778263 DOI: 10.3390/ijerph192416419] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/13/2022] [Accepted: 11/16/2022] [Indexed: 06/10/2023]
Abstract
(1) Importance: Alzheimer's disease (AD) is complex and only partially understood. Analyzing the relationship between other more treatable or preventable diseases and AD may help in the prevention and the eventual development of treatments for AD. Risk estimation in a high-risk population, rather than a population already affected with AD, may reduce some bias in risk estimates. (2) Objective: To examine the rates of various comorbidities and cancers in individuals at high-risk for AD, but without a clinical diagnosis, relative to individuals from the same population with normal AD risk. (3) Design, Setting, and Participants: We conducted a study using data from the Utah Population Database (UPDB). The UPDB contains linked data from the Utah Cancer Registry, Utah death certificates, the Intermountain Health patient population, and the University of Utah Health patient population. Subjects were selected based on the availability of ancestral data, linked health information, and self-reported biometrics. (4) Results: In total, 75,877 participants who were estimated to be at high risk for AD based on family history, but who did not have an active AD diagnosis, were analyzed. A lower incidence of diabetes (RR = 0.95, 95% CI [0.92,0.97], p < 0.001), hypertension (RR = 0.97, 95% CI [0.95,0.99], p < 0.001), and heart disease (RR = 0.95, 95% CI [0.93,0.98], p < 0.001) was found. There was no difference in rates of cerebrovascular disease or other forms of dementia. Of the 15 types of cancer analyzed: breast (RR = 1.23, 95% CI [1.16, 1.30], p < 0.001); colorectal (RR = 1.30, 95% CI [1.21, 1.39], p < 0.001); kidney (RR = 1.49, 95% CI (1.29, 1.72), p < 0.001); lung (RR = 1.25, 95% CI [1.13, 1.37], p < 0.001); non-Hodgkin's Lymphoma (RR = 1.29, 95% CI [1.15, 1.44], p < 0.001); pancreas (RR = 1.34, 95% CI [1.16, 1.55], p < 0.001); stomach (RR = 1.59, 95% CI [1.36, 1.86], p < 0.001); and bladder (RR = 1.40, 95% CI [1.25, 1.56], p < 0.001), cancers were observed in significant excess among individuals at high-risk for AD after correction for multiple testing. (5) Conclusions and Relevance: Since age is the greatest risk factor for the development of AD, individuals who reach more advanced ages are at increased risk of developing AD. Consistent with this, people with fewer comorbidities earlier in life are more likely to reach an age where AD becomes a larger risk. Our findings show that individuals at high risk for AD have a decreased incidence of various other diseases. This is further supported by our finding that our high-risk group was also found to have an increased incidence of various cancers, which also increase in risk with age. There is the possibility that a more meaningful or etiological relationship exists among these various comorbidities. Further research into the etiological relationship between AD and these comorbidities may elucidate these possible interactions.
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Affiliation(s)
- David Valentine
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Craig C. Teerlink
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - James M. Farnham
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - Kerry Rowe
- National Oncology Program, Veterans Administration, Durham, NC 27705, USA
| | - Heydon Kaddas
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - JoAnn Tschanz
- Department of Psychology, Utah State University, Logan, UT 84322, USA
| | - John S. K. Kauwe
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Lisa A. Cannon-Albright
- Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT 84148, USA
- Huntsman Cancer Institute, Salt Lake City, UT 84112, USA
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24
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Wilkins CH, Windon CC, Dilworth-Anderson P, Romanoff J, Gatsonis C, Hanna L, Apgar C, Gareen IF, Hill CV, Hillner BE, March A, Siegel BA, Whitmer RA, Carrillo MC, Rabinovici GD. Racial and Ethnic Differences in Amyloid PET Positivity in Individuals With Mild Cognitive Impairment or Dementia: A Secondary Analysis of the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS) Cohort Study. JAMA Neurol 2022; 79:2796653. [PMID: 36190710 PMCID: PMC9531087 DOI: 10.1001/jamaneurol.2022.3157] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/29/2022] [Indexed: 02/06/2023]
Abstract
Importance Racial and ethnic groups with higher rates of clinical Alzheimer disease (AD) are underrepresented in studies of AD biomarkers, including amyloid positron emission tomography (PET). Objective To compare amyloid PET positivity among a diverse cohort of individuals with mild cognitive impairment (MCI) or dementia. Design, Setting, and Participants Secondary analysis of the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS), a single-arm multisite cohort study of Medicare beneficiaries who met appropriate-use criteria for amyloid PET imaging between February 2016 and September 2017 with follow-up through January 2018. Data were analyzed between April 2020 and January 2022. This study used 2 approaches: the McNemar test to compare amyloid PET positivity proportions between matched racial and ethnic groups and multivariable logistic regression to assess the odds of having a positive amyloid PET scan. IDEAS enrolled participants at 595 US dementia specialist practices. A total of 21 949 were enrolled and 4842 (22%) were excluded from the present analysis due to protocol violations, not receiving an amyloid PET scan, not having a positive or negative scan, or because of small numbers in some subgroups. Exposures In the IDEAS study, participants underwent a single amyloid PET scan. Main Outcomes and Measures The main outcomes were amyloid PET positivity proportions and odds. Results Data from 17 107 individuals (321 Asian, 635 Black, 829 Hispanic, and 15 322 White) with MCI or dementia and amyloid PET were analyzed between April 2020 and January 2022. The median (range) age of participants was 75 (65-105) years; 8769 participants (51.3%) were female and 8338 (48.7%) were male. In the optimal 1:1 matching analysis (n = 3154), White participants had a greater proportion of positive amyloid PET scans compared with Asian participants (181 of 313; 57.8%; 95% CI, 52.3-63.2 vs 142 of 313; 45.4%; 95% CI, 39.9-50.9, respectively; P = .001) and Hispanic participants (482 of 780; 61.8%; 95% CI, 58.3-65.1 vs 425 of 780; 54.5%; 95% CI, 51.0-58.0, respectively; P = .003) but not Black participants (359 of 615; 58.4%; 95% CI, 54.4-62.2 vs 333 of 615; 54.1%; 95% CI, 50.2-58.0, respectively; P = .13). In the adjusted model, the odds of having a positive amyloid PET scan were lower for Asian participants (odds ratio [OR], 0.47; 95% CI, 0.37-0.59; P < .001), Black participants (OR, 0.71; 95% CI, 0.60-0.84; P < .001), and Hispanic participants (OR, 0.68; 95% CI, 0.59-0.79; P < .001) compared with White participants. Conclusions and Relevance Racial and ethnic differences found in amyloid PET positivity among individuals with MCI and dementia in this study may indicate differences in underlying etiology of cognitive impairment and guide future treatment and prevention approaches.
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Affiliation(s)
- Consuelo H. Wilkins
- Department of Medicine, Division of Geriatric Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Charles C. Windon
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Peggye Dilworth-Anderson
- Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Justin Romanoff
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Constantine Gatsonis
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
| | - Lucy Hanna
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Charles Apgar
- Center for Research and Innovation, American College of Radiology, Reston, Virginia
| | - Ilana F. Gareen
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island
| | | | - Bruce E. Hillner
- Department of Medicine, Virginia Commonwealth University, Richmond
| | - Andrew March
- Center for Research and Innovation, American College of Radiology, Philadelphia, Pennsylvania
| | - Barry A. Siegel
- Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Rachel A. Whitmer
- Division of Research, Kaiser Permanente, Oakland, California
- Department of Public Health Sciences, University of California, Davis
| | | | - Gil D. Rabinovici
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Associate Editor, JAMA Neurology
- Department of Radiology & Biomedical Imaging, University of California, San Francisco
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25
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Weng X, Liang H, Liu K, Chen J, Fei Q, Liu S, Guo X, Wen L, Wu Y, Nie Z, Jing C. Relationship between urinary dichlorophenols and cognitive function among people over 60 years old from NHANES. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:73341-73352. [PMID: 35624369 DOI: 10.1007/s11356-022-20840-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 05/11/2022] [Indexed: 06/15/2023]
Abstract
Studies have shown that exposure to dichlorophenols (DCPs) and their precursors might have potential neurotoxicity, which may be related to low cognitive function, but there are few large-scale, representative population data to explore the association between DCP exposure and cognitive function. We aimed to examine the relationship between urinary DCPs and cognitive function in the US older people. A total of 952 participants ≥ 60 years old from the National Health and Nutrition Examination Survey (NHANES) in two cycles (2011-2014) were enrolled. The Consortium to Establish a Registry for Alzheimer's disease Word Learning subtest (CERAD W-L), the Animal Fluency test (AFT), and the Digit Symbol Substitution test (DSST) were used to assess cognition. Multivariate logistic regression and restricted cubic spline (RCS) were used to evaluate the relationship between DCP exposure and cognitive function. A positive association between 2,5-DCP and the risk of bad performance of DSST was observed (P for trend = 0.024) after adjusting for the covariates. Compared to the lowest quartile, OR of DSST for the highest quartile of 2,5-DCP was 1.72 (95%CI:1.03-2.87, P = 0.039). There were no significant associations between DCPs and the other tests. The RCS plot showed an inverted J-shaped relationship between 2,5-DCP, 2,4-DCP, and the DSST score. The inflection points for the curves were found at 1.531 μg/L and 0.230 μg/L, respectively. On the right side of the inflection points, the DSST score dropped sharply. In subgroup analysis, those under 70 years old, smokers, and alcohol drinkers had a higher risk of bad performance in DSST when exposed to 2,5-DCP. The higher concentration of urinary DCPs is associated with a lower score of DSST in the US older people.
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Affiliation(s)
- Xueqiong Weng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Huanzhu Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Kun Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Jingmin Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Qiaoyuan Fei
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Shan Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Xinrong Guo
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Lin Wen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Yingying Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Zhiqiang Nie
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chunxia Jing
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China.
- Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, 510632, Guangdong, China.
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26
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Park CJ, Seo Y, Choe YS, Jang H, Lee H, Kim JP. Predicting conversion of brain β-amyloid positivity in amyloid-negative individuals. Alzheimers Res Ther 2022; 14:129. [PMID: 36096822 PMCID: PMC9465850 DOI: 10.1186/s13195-022-01067-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 08/16/2022] [Indexed: 11/21/2022]
Abstract
Background Cortical deposition of β-amyloid (Aβ) plaque is one of the main hallmarks of Alzheimer’s disease (AD). While Aβ positivity has been the main concern so far, predicting whether Aβ (−) individuals will convert to Aβ (+) has become crucial in clinical and research aspects. In this study, we aimed to develop a classifier that predicts the conversion from Aβ (−) to Aβ (+) using artificial intelligence. Methods Data were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort regarding patients who were initially Aβ (−). We developed an artificial neural network-based classifier with baseline age, gender, APOE ε4 genotype, and global and regional standardized uptake value ratios (SUVRs) from positron emission tomography. Ten times repeated 10-fold cross-validation was performed for model measurement, and the feature importance was assessed. To validate the prediction model, we recruited subjects at the Samsung Medical Center (SMC). Results A total of 229 participants (53 converters) from the ADNI dataset and a total of 40 subjects (10 converters) from the SMC dataset were included. The average area under the receiver operating characteristic values of three developed models are as follows: Model 1 (age, gender, APOE ε4) of 0.674, Model 2 (age, gender, APOE ε4, global SUVR) of 0.814, and Model 3 (age, gender, APOE ε4, global and regional SUVR) of 0.841. External validation result showed an AUROC of 0.900. Conclusion We developed prediction models regarding Aβ positivity conversion. With the growing recognition of the need for earlier intervention in AD, the results of this study are expected to contribute to the screening of early treatment candidates. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-022-01067-8.
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27
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Wang X, Hu J, Jiang Q. Tooth Loss-Associated Mechanisms That Negatively Affect Cognitive Function: A Systematic Review of Animal Experiments Based on Occlusal Support Loss and Cognitive Impairment. Front Neurosci 2022; 16:811335. [PMID: 35221901 PMCID: PMC8866659 DOI: 10.3389/fnins.2022.811335] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 01/18/2022] [Indexed: 12/15/2022] Open
Abstract
BackgroundThere is a dose-response relationship between tooth loss and cognitive impairment, while tooth loss can be an independent risk factor for Alzheimer's disease (AD) and vascular dementia (VaD). Tooth loss can also accelerate nerve damage and neurodegeneration. However, the associated mechanisms remain poorly understood.ObjectiveTo conduct a systematic review of animal experiments on cognitive decline caused by the loss of occlusal support performed over the past 10 years and summarize the possible underlying mechanisms.Methods“Tooth Loss,” “Edentulous,” “Tooth Extraction and Memory Loss,” “Cognition Impairment,” and “Dementia” were used as keywords to search PubMed, Embase, SCI, ScienceDirect, and OpenGrey. A total of 1,317 related articles from 2010 to 2021 were retrieved, 26 of which were included in the review after screening according to predetermined inclusion and exclusion criteria. Comprehensiveness was evaluated using ARRIVE guidelines and the risk of bias was assessed using SYCLE'S risk of bias tool.ResultsThe putative mechanisms underlying the cognitive impairment resulting from the loss of occlusal support are as follows: (1) The mechanical pathway, whereby tooth loss leads to masticatory motor system functional disorders. Masticatory organ activity and cerebral blood flow decrease. With reduced afferent stimulation of peripheral receptors (such as in the periodontal membrane) the strength of the connections between neural pathways is decreased, and the corresponding brain regions degenerate; (2) the aggravation pathway, in which tooth loss aggravates existing neurodegenerative changes. Tooth loss can accelerates nerve damage through apoptosis and mitochondrial autophagy, increases amyloid deposition in the brain; and (3) the long-term inflammatory stress pathway, which involves metabolic disorders, microbial-gut-brain axis, the activation of microglia and astrocytes, and inflammatory cascade effect in central nervous system.ConclusionThe loss of occlusal support may lead to cognitive dysfunction through the reduction of chewing-related stimuli, aggravation of nerve damage, and long-term inflammatory stress.
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Anstey KJ, Zheng L, Peters R, Kootar S, Barbera M, Stephen R, Dua T, Chowdhary N, Solomon A, Kivipelto M. Dementia Risk Scores and Their Role in the Implementation of Risk Reduction Guidelines. Front Neurol 2022; 12:765454. [PMID: 35058873 PMCID: PMC8764151 DOI: 10.3389/fneur.2021.765454] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/07/2021] [Indexed: 12/24/2022] Open
Abstract
Dementia prevention is a global health priority. In 2019, the World Health Organisation published its first evidence-based guidelines on dementia risk reduction. We are now at the stage where we need effective tools and resources to assess dementia risk and implement these guidelines into policy and practice. In this paper we review dementia risk scores as a means to facilitate this process. Specifically, we (a) discuss the rationale for dementia risk assessment, (b) outline some conceptual and methodological issues to consider when reviewing risk scores, (c) evaluate some dementia risk scores that are currently in use, and (d) provide some comments about future directions. A dementia risk score is a weighted composite of risk factors that reflects the likelihood of an individual developing dementia. In general, dementia risks scores have a wide range of implementations and benefits including providing early identification of individuals at high risk, improving risk perception for patients and physicians, and helping health professionals recommend targeted interventions to improve lifestyle habits to decrease dementia risk. A number of risk scores for dementia have been published, and some are widely used in research and clinical trials e.g., CAIDE, ANU-ADRI, and LIBRA. However, there are some methodological concerns and limitations associated with the use of these risk scores and more research is needed to increase their effectiveness and applicability. Overall, we conclude that, while further refinement of risk scores is underway, there is adequate evidence to use these assessments to implement guidelines on dementia risk reduction.
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Affiliation(s)
- Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Lidan Zheng
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Ruth Peters
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Scherazad Kootar
- School of Psychology, University of New South Wales, Sydney, NSW, Australia.,Neuroscience Research Australia, Randwick, NSW, Australia
| | - Mariagnese Barbera
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom
| | - Ruth Stephen
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Tarun Dua
- Brain Health Unit, Department of Mental Health and Substance Use, World Health Organization, Geneva, Switzerland
| | - Neerja Chowdhary
- Brain Health Unit, Department of Mental Health and Substance Use, World Health Organization, Geneva, Switzerland
| | - Alina Solomon
- Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom.,Division of Clinical Geriatrics, Department of Neurobiology, Center for Alzheimer's Research, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Miia Kivipelto
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom.,Division of Clinical Geriatrics, Department of Neurobiology, Center for Alzheimer's Research, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden.,Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
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29
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Campbell AS, Ho CCG, Atık M, Allen M, Lincoln S, Malphrus K, Nguyen T, Oatman SR, Corda M, Conway O, Strickland S, Petersen RC, Dickson DW, Graff-Radford NR, Ertekin-Taner N. Clinical Deep Phenotyping of ABCA7 Mutation Carriers. Neurol Genet 2022; 8:e655. [PMID: 35047668 PMCID: PMC8759075 DOI: 10.1212/nxg.0000000000000655] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/17/2021] [Indexed: 11/21/2022]
Abstract
Background and Objectives Putative loss-of-function (pLOF) ABCA7 variants that increase Alzheimer disease (AD) risk were identified; however, deep phenotypic characterization of these variants in mutation carriers is limited. We aimed to obtain deep clinical phenotypes of ABCA7 pLOF mutation carriers from a large retrospectively reviewed series. Methods Genotypes were determined for 5,353 individuals evaluated at Mayo Clinic for 6 reported ABCA7 pLOF variants (p.E709fs, p.Trp1214X, p.L1403fs, c.4416+2T>G, p.E1679X, and c.5570+5G>C). Medical records of 100 mutation carriers were reviewed for demographics, clinical phenotypes, and diagnoses. Eleven mutation carriers had autopsy-based neuropathologic diagnoses. Results We confirmed that ABCA7 pLOF mutations confer AD risk in our series of 2,495 participants with AD and 2,858 cognitively unaffected participants. Clinical review of 100 mutation carriers demonstrated phenotypic variability of clinical presentations with both memory and nonmemory cognitive impairment and a subset presenting with motor symptoms. There was a wide range of age at onset of cognitive symptoms (ages 56–92 years, mean = 75.6). Ten of the 11 autopsied mutation carriers had AD neuropathology. ABCA7 pLOF mutation carriers had higher rates of depression (41.6%) and first-degree relatives with cognitive impairment (38.1%) compared with the general population. Discussion Our study provides a deep clinical review of phenotypic characteristics of mutation carriers for 6 ABCA7 pLOF mutations. Although memory impairment was the most common initial symptom, nonmemory cognitive and/or motor symptoms were present in a substantial number of mutation carriers, highlighting the heterogeneity of clinical features associated with these mutations. Likewise, although AD neuropathology is the most common, it is not the only autopsy-based diagnosis. Presence of earlier ages at onset, higher rates of depression, and first-degree relatives with cognitive impairment among mutation carriers suggest that these genetic variants may have more aggressive clinical features than AD in the general population. This deep phenotyping study of ABCA7 pLOF mutation carriers provides essential genotype-phenotype correlations for future precision medicine approaches in the clinical setting.
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Affiliation(s)
- Alana S Campbell
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Charlotte C G Ho
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Merve Atık
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Mariet Allen
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Sarah Lincoln
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Kimberly Malphrus
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Thuy Nguyen
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Stephanie R Oatman
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Morgane Corda
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Olivia Conway
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Samantha Strickland
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Ronald C Petersen
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Dennis W Dickson
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Neill R Graff-Radford
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
| | - Nilüfer Ertekin-Taner
- Department of Neurology (A.S.C., S.R.O., N.R.G.-R., N.E.-T.), and Department of Neuroscience (C.C.G.H., M. Atık, M. Allen, S.L., K.M., T.N., S.R.O., M.C., O.C., S.S., D.W.D., N.E.-T.), Mayo Clinic, Jacksonville, FL; and Department of Neurology (R.C.P.), Mayo Clinic, Rochester, MN
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Gowda P, Reddy PH, Kumar S. Deregulated mitochondrial microRNAs in Alzheimer's disease: Focus on synapse and mitochondria. Ageing Res Rev 2022; 73:101529. [PMID: 34813976 PMCID: PMC8692431 DOI: 10.1016/j.arr.2021.101529] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 10/17/2021] [Accepted: 11/16/2021] [Indexed: 01/03/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia and is currently one of the biggest public health concerns in the world. Mitochondrial dysfunction in neurons is one of the major hallmarks of AD. Emerging evidence suggests that mitochondrial miRNAs potentially play important roles in the mitochondrial dysfunctions, focusing on synapse in AD progression. In this meta-analysis paper, a comprehensive literature review was conducted to identify and discuss the (1) role of mitochondrial miRNAs that regulate mitochondrial and synaptic functions; (2) the role of various factors such as mitochondrial dynamics, biogenesis, calcium signaling, biological sex, and aging on synapse and mitochondrial function; (3) how synapse damage and mitochondrial dysfunctions contribute to AD; (4) the structure and function of synapse and mitochondria in the disease process; (5) latest research developments in synapse and mitochondria in healthy and disease states; and (6) therapeutic strategies that improve synaptic and mitochondrial functions in AD. Specifically, we discussed how differences in the expression of mitochondrial miRNAs affect ATP production, oxidative stress, mitophagy, bioenergetics, mitochondrial dynamics, synaptic activity, synaptic plasticity, neurotransmission, and synaptotoxicity in neurons observed during AD. However, more research is needed to confirm the locations and roles of individual mitochondrial miRNAs in the development of AD.
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Affiliation(s)
- Prashanth Gowda
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Neuroscience & Pharmacology, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Neurology, Departments of School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Public Health Department of Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - P Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Neuroscience & Pharmacology, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Neurology, Departments of School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Public Health Department of Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Department of Speech, Language and Hearing Sciences, School Health Professions, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
| | - Subodh Kumar
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
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31
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West RK, Ravona‐Springer R, Sharvit‐Ginon I, Ganmore I, Manzali S, Tirosh A, Golan S, Boccara E, Heymann A, Beeri MS. Long-term trajectories and current BMI are associated with poorer cognitive functioning in middle-aged adults at high Alzheimer's disease risk. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12247. [PMID: 35005193 PMCID: PMC8719431 DOI: 10.1002/dad2.12247] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/16/2021] [Accepted: 08/31/2021] [Indexed: 01/01/2023]
Abstract
INTRODUCTION We examined relationships of body mass index (BMI) with cognition in middle-aged adults at Alzheimer's disease (AD) risk due to parental family history. METHODS Participants are offspring of AD patients from the Israel Registry of Alzheimer's Prevention (N = 271). Linear regressions assessed associations of BMI and cognition, and whether associations differed by maternal/paternal history. Analyses of covariance examined associations of long-term trajectories of BMI with cognition. RESULTS Higher BMI was associated with worse language (P = .045). Interactions of BMI with parental history were significant for episodic memory (P = .023), language (p = .027), working memory (P = .006), global cognition (P = .008); associations were stronger among participants with maternal history. Interactions of BMI trajectories with parental history were significant for episodic memory (P = .017), language (P = .013), working memory (P = .001), global cognition (P = .005), with stronger associations for maternal history. DISCUSSION Higher BMI and overweight/obese trajectories were associated with poorer cognition in adults with maternal history of AD, but not those with paternal history.
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Affiliation(s)
- Rebecca K. West
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Ramit Ravona‐Springer
- The Joseph Sagol Neuroscience CenterSheba Medical CenterTel‐HashomerIsrael
- Department of PsychiatrySheba Medical CenterTel‐HashomerIsrael
- Sackler School of MedicineTel Aviv UniversityTel AvivIsrael
| | | | - Ithamar Ganmore
- The Joseph Sagol Neuroscience CenterSheba Medical CenterTel‐HashomerIsrael
| | - Sigalit Manzali
- The Joseph Sagol Neuroscience CenterSheba Medical CenterTel‐HashomerIsrael
- Department of PsychiatrySheba Medical CenterTel‐HashomerIsrael
| | - Amir Tirosh
- Sackler School of MedicineTel Aviv UniversityTel AvivIsrael
- Institute of EndocrinologySheba Medical CenterTel HashomerIsrael
| | - Sapir Golan
- The Joseph Sagol Neuroscience CenterSheba Medical CenterTel‐HashomerIsrael
- Sackler School of MedicineTel Aviv UniversityTel AvivIsrael
| | - Ethel Boccara
- The Joseph Sagol Neuroscience CenterSheba Medical CenterTel‐HashomerIsrael
- Bar‐Ilan UniversityRamat GanIsrael
| | - Anthony Heymann
- Maccabi Healthcare ServicesTel AvivIsrael
- Department of Family MedicineTel Aviv UniversityTel AvivIsrael
| | - Michal Schnaider Beeri
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- The Joseph Sagol Neuroscience CenterSheba Medical CenterTel‐HashomerIsrael
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32
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Armon C, Wolfson S, Margalit R, Avraham L, Bugen Y, Cohen A, Meiri A, Shorer R. Estimating the X chromosome-mediated risk for developing Alzheimer's disease. J Neurol 2021; 269:2479-2485. [PMID: 34609600 DOI: 10.1007/s00415-021-10826-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 09/25/2021] [Accepted: 09/26/2021] [Indexed: 10/20/2022]
Abstract
Parental lineage has been shown to increase the risk of Alzheimer's disease (AD) in the offspring, with greater risk attributed to maternal lineage. While 40 genes/loci have been linked to the risk of developing AD, none has been found on the X chromosome. We propose a new method to estimate the risk for developing AD mediated by the X chromosome in a subgroup of late-onset AD (LOAD) patients with amnestic mild cognitive impairment (aMCI) or early AD and unilateral ancestral history of AD or dementia, and pilot-test it on our clinic data. Records of patients aged 55-80 years presenting to our Memory Disorders Clinic with aMCI or early AD between May 2015 and September 2020, were reviewed, counting patients with a family history of AD or dementia and unilateral ancestral lineage. The X chromosome-attributable relative risk was estimated by calculating the following odds ratio (OR): (women with paternal lineage:women with maternal lineage)/(men with paternal lineage:men with maternal lineage). The proportion of genetic risk borne by the X chromosome is equal to (OR-1)/OR. 40 women aged 66.1 ± 5.1 years (mean ± standard deviation) and 31 men aged 68.1 ± 6.5 were identified. The OR was (18:22)/(6:25) = 3.4 (95% confidence interval 1.1-10.1; p = 0.027). The estimated proportion of genetic risk borne by the X chromosome in this population is 70% (95% CI 12-90%). This paper presents the first application of a new method. The numbers are small, the confidence intervals wide. The findings need to be replicated. The method may be generalizable to other diseases.
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Affiliation(s)
- Carmel Armon
- Department of Neurology, Tel Aviv University School of Medicine and Shamir (Assaf Harofeh) Medical Center, PO Beer Yaakov, 70300, Zerifin, Israel.
| | - Sharon Wolfson
- Department of Neurology, Tel Aviv University School of Medicine and Shamir (Assaf Harofeh) Medical Center, PO Beer Yaakov, 70300, Zerifin, Israel
| | - Rivka Margalit
- Department of Neurology, Tel Aviv University School of Medicine and Shamir (Assaf Harofeh) Medical Center, PO Beer Yaakov, 70300, Zerifin, Israel
| | - Liraz Avraham
- Department of Neurology, Tel Aviv University School of Medicine and Shamir (Assaf Harofeh) Medical Center, PO Beer Yaakov, 70300, Zerifin, Israel
| | - Yael Bugen
- Department of Neurology, Tel Aviv University School of Medicine and Shamir (Assaf Harofeh) Medical Center, PO Beer Yaakov, 70300, Zerifin, Israel
| | - Amir Cohen
- Department of Neurology, Tel Aviv University School of Medicine and Shamir (Assaf Harofeh) Medical Center, PO Beer Yaakov, 70300, Zerifin, Israel
| | - Adi Meiri
- Department of Neurology, Tel Aviv University School of Medicine and Shamir (Assaf Harofeh) Medical Center, PO Beer Yaakov, 70300, Zerifin, Israel
| | - Ran Shorer
- Department of Neurology, Tel Aviv University School of Medicine and Shamir (Assaf Harofeh) Medical Center, PO Beer Yaakov, 70300, Zerifin, Israel
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Ramos H, Moreno L, Gil M, García-Lluch G, Sendra-Lillo J, Alacreu M. Pharmacists' Knowledge of Factors Associated with Dementia: The A-to-Z Dementia Knowledge List. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:9934. [PMID: 34639242 PMCID: PMC8508463 DOI: 10.3390/ijerph18199934] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/11/2021] [Accepted: 09/14/2021] [Indexed: 12/24/2022]
Abstract
Dementia is a neurodegenerative disease with no cure that can begin up to 20 years before its diagnosis. A key priority in patients with dementia is the identification of early modifiable factors that can slow the progression of the disease. Community pharmacies are suitable points for cognitive-impairment screening because of their proximity to patients. Therefore, the continuous training of professionals working in pharmacies directly impacts the public health of the population. The main purpose of this study was to assess community pharmacists' knowledge of dementia-related factors. Thus, we conducted a cross-sectional study of 361 pharmacists via an online questionnaire that quizzed their knowledge of a list of dementia-related factors, which we later arranged into the A-to-Z Dementia Knowledge List. We found that younger participants had a better knowledge of risk factors associated with dementia. The risk factors most often identified were a family history of dementia followed by social isolation. More than 40% of the respondents did not identify herpes labialis, sleep more than 9 h per day, and poor hearing as risk factors. A higher percentage of respondents were better able to identify protective factors than risk factors. The least known protective factors were internet use, avoidance of pollution, and the use of anti-inflammatory drugs. Pharmacists' knowledge of dementia-related factors should be renewed with the aim of enhancing their unique placement to easily implement cognitive-impairment screening.
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Affiliation(s)
- Hernán Ramos
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain; (H.R.); (L.M.); (M.G.); (G.G.-L.); (J.S.-L.)
- Muy Ilustre Colegio Oficial de Farmacéuticos, 46003 Valencia, Spain
| | - Lucrecia Moreno
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain; (H.R.); (L.M.); (M.G.); (G.G.-L.); (J.S.-L.)
- Department of Pharmacy, Universidad Cardenal Herrera-CEU, CEU Universities, 46115 Valencia, Spain
| | - María Gil
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain; (H.R.); (L.M.); (M.G.); (G.G.-L.); (J.S.-L.)
- Muy Ilustre Colegio Oficial de Farmacéuticos, 46003 Valencia, Spain
| | - Gemma García-Lluch
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain; (H.R.); (L.M.); (M.G.); (G.G.-L.); (J.S.-L.)
| | - José Sendra-Lillo
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain; (H.R.); (L.M.); (M.G.); (G.G.-L.); (J.S.-L.)
- Muy Ilustre Colegio Oficial de Farmacéuticos, 46003 Valencia, Spain
| | - Mónica Alacreu
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, 46115 Valencia, Spain; (H.R.); (L.M.); (M.G.); (G.G.-L.); (J.S.-L.)
- Embedded Systems and Artificial Intelligence Group, Universidad Cardenal Herrera-CEU, CEU Universities, 46115 Valencia, Spain
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Gonneaud J, Baria AT, Pichet Binette A, Gordon BA, Chhatwal JP, Cruchaga C, Jucker M, Levin J, Salloway S, Farlow M, Gauthier S, Benzinger TLS, Morris JC, Bateman RJ, Breitner JCS, Poirier J, Vachon-Presseau E, Villeneuve S. Accelerated functional brain aging in pre-clinical familial Alzheimer's disease. Nat Commun 2021; 12:5346. [PMID: 34504080 PMCID: PMC8429427 DOI: 10.1038/s41467-021-25492-9] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 08/06/2021] [Indexed: 01/02/2023] Open
Abstract
Resting state functional connectivity (rs-fMRI) is impaired early in persons who subsequently develop Alzheimer's disease (AD) dementia. This impairment may be leveraged to aid investigation of the pre-clinical phase of AD. We developed a model that predicts brain age from resting state (rs)-fMRI data, and assessed whether genetic determinants of AD, as well as beta-amyloid (Aβ) pathology, can accelerate brain aging. Using data from 1340 cognitively unimpaired participants between 18-94 years of age from multiple sites, we showed that topological properties of graphs constructed from rs-fMRI can predict chronological age across the lifespan. Application of our predictive model to the context of pre-clinical AD revealed that the pre-symptomatic phase of autosomal dominant AD includes acceleration of functional brain aging. This association was stronger in individuals having significant Aβ pathology.
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Affiliation(s)
- Julie Gonneaud
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
| | - Alex T Baria
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Alexa Pichet Binette
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Brian A Gordon
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Jasmeer P Chhatwal
- Brigham and Women's Hospital-Massachusetts General Hospital, Boston, MA, USA
| | - Carlos Cruchaga
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Mathias Jucker
- Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Johannes Levin
- Ludwig-Maximilians-Universität München, German Center for Neurodegenerative Diseases and Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | | | - Martin Farlow
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Serge Gauthier
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Tammie L S Benzinger
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C Morris
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J Bateman
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C S Breitner
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Judes Poirier
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
| | - Etienne Vachon-Presseau
- Department of Anesthesia, Faculty of Medicine, McGill University, Montreal, QC, Canada
- Faculty of Dentistry, McGill University, Montreal, QC, Canada
- Alan Edwards Centre for Research on Pain, McGill University, Montreal, QC, Canada
| | - Sylvia Villeneuve
- Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
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Goldstein MR, Cheslock M. On the prevention and treatment of Alzheimer's disease: Control the promoters and look beyond the brain. Med Hypotheses 2021; 154:110645. [PMID: 34315048 DOI: 10.1016/j.mehy.2021.110645] [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: 02/25/2021] [Revised: 06/05/2021] [Accepted: 07/13/2021] [Indexed: 11/18/2022]
Abstract
Alzheimer's disease (AD) is a progressive incurable neurodegenerative disease of the brain afflicting a third of the population aged 85 and older. Pathologic hallmarks include extracellular plaques of amyloid-beta (Aß), intraneuronal neurofibrillary tangles of hyperphosphorylated tau protein, synaptic destruction, neuronal death, and brain atrophy. Neuroinflammation, mediated by microglia, is a central component of the disease, and is intricately connected with peripheral inflammation. The clinical manifestations include progressive memory loss and eventual death. The present treatment of AD is largely ineffective. Nearly all AD is late-onset and presents age 65 or older, and the most common genetic risk factor is carriage of an apolipoprotein (APO) E4 allele, seen in about 25% of the general population. Individuals carrying an APOE4 allele produce more Aß and clear it less efficiently from the brain throughout life. There has been accumulating pathologic and clinical evidence that microbes, particularly the herpes simplex virus (HSV), is a causative factor for AD, most notable in carriers of the APOE4 allele. Eighty percent of the adult population harbors HSV and it resides in the trigeminal ganglion in latent state throughout life, but periodically reactivates, traveling antegrade resulting in herpes labialis and traveling retrograde into the brain leading to neuroinflammation. Functioning as an antimicrobial peptide, Aß inactivates HSV and the recurring process culminates in a buildup of Aß plaque and other hallmarks of AD over time. Periodontal disease exists in 20-50% of the adult population and is also a causative factor for AD. Accordingly, bacteria causing periodontal disease and their byproducts can enter the brain directly via the trigeminal nerve or indirectly through the bloodstream, resulting in AD pathology over time. There are many other promoters of AD, particularly inflammatory conditions outside of the brain, that can be mitigated. Small trials are finally in progress testing antimicrobial drugs for the prevention and treatment of AD. In the meantime, a more proactive approach to the prevention and treatment of AD is posited, with an emphasis on prevention, since the pathologic underpinnings of the disease start decades before the clinical manifestations. Individuals can be stratified in risk categories using family history, periodontal disease presence, APOE4 carriage, and HSV IgG positivity. Moderate- and high-risk individuals can be treated safely with various preventive measures and appropriate antimicrobial agents as discussed. Importantly, the proposed treatments are concordant with the accepted practice of medicine, and if utilized, could significantly decrease AD prevalence.
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Affiliation(s)
| | - Megan Cheslock
- Harvard Medical School Multi-Campus Geriatric Fellowship, Boston, Massachusetts, USA.
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Ravona-Springer R, Sharvit-Ginon I, Ganmore I, Greenbaum L, Bendlin BB, Sternberg SA, Livny A, Domachevsky L, Sandler I, Ben Haim S, Golan S, Ben-Ami L, Lesman-Segev O, Manzali S, Heymann A, Beeri MS. The Israel Registry for Alzheimer's Prevention (IRAP) Study: Design and Baseline Characteristics. J Alzheimers Dis 2021; 78:777-788. [PMID: 33044181 DOI: 10.3233/jad-200623] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Family history of Alzheimer's disease (AD) is associated with increased dementia-risk. OBJECTIVE The Israel Registry for Alzheimer's Prevention (IRAP) is a prospective longitudinal study of asymptomatic middle-aged offspring of AD patients (family history positive; FH+) and controls (whose parents have aged without dementia; FH-) aimed to unravel the contribution of midlife factors to future cognitive decline and dementia. Here we present the study design, methods, and baseline characteristics. METHODS Participants are members of the Maccabi Health Services, 40-65 years of age, with exquisitely detailed laboratory, medical diagnoses and medication data available in the Maccabi electronic medical records since 1998. Data collected through IRAP include genetic, sociodemographic, cognitive, brain imaging, lifestyle, and health-related characteristics at baseline and every three years thereafter. RESULTS Currently IRAP has 483 participants [mean age 54.95 (SD = 6.68) and 64.8% (n = 313) women], 379 (78.5%) FH+, and 104 (21.5%) FH-. Compared to FH-, FH+ participants were younger (p = 0.011), more often males (p = 0.003) and with a higher prevalence of the APOE E4 allele carriers (32.9% FH+, 22% FH-; p = 0.040). Adjusting for age, sex, and education, FH+ performed worse than FH-in global cognition (p = 0.027) and episodic memory (p = 0.022). CONCLUSION Lower cognitive scores and higher rates of the APOE E4 allele carriers among the FH+ group suggest that FH ascertainment is good. The combination of long-term historical health-related data available through Maccabi with the multifactorial information collected through IRAP will potentially enable development of dementia-prevention strategies already in midlife, a critical period in terms of risk factor exposure and initiation of AD-neuropathology.
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Affiliation(s)
- Ramit Ravona-Springer
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel.,Memory Clinic, Sheba Medical Center, Tel Hashomer, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Inbal Sharvit-Ginon
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel
| | - Ithamar Ganmore
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel.,Memory Clinic, Sheba Medical Center, Tel Hashomer, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Neurology, Sheba Medical Center, Tel Hashomer, Israel
| | - Lior Greenbaum
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Tel Hashomer, Israel
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Abigail Livny
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Diagnostic imaging, Seba Medical Center, Tel Hashomer, Israel
| | - Liran Domachevsky
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Diagnostic imaging, Seba Medical Center, Tel Hashomer, Israel
| | - Israel Sandler
- Department of Diagnostic imaging, Seba Medical Center, Tel Hashomer, Israel
| | - Simona Ben Haim
- Department of Medical Biophysics and Nuclear Medicine, Hadassah University Hospital, Ein Kerem, Jerusalem, Israel.,Institute of Nuclear Medicine, University College London and UCL Hospitals, NHS Trust, London, UK
| | - Sapir Golan
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel
| | - Liat Ben-Ami
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel.,Department of Diagnostic imaging, Seba Medical Center, Tel Hashomer, Israel
| | - Orit Lesman-Segev
- Department of Diagnostic imaging, Seba Medical Center, Tel Hashomer, Israel
| | - Sigalit Manzali
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel.,Department of Pathology, Sheba Medical Center, Tel-Hashomer, Israel
| | - Anthony Heymann
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Maccabi Healthcare Services, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel.,Department of Psychiatry, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Yan S, Zheng C, Paranjpe MD, Li Y, Li W, Wang X, Benzinger TLS, Lu J, Zhou Y. Sex modifies APOE ε4 dose effect on brain tau deposition in cognitively impaired individuals. Brain 2021; 144:3201-3211. [PMID: 33876815 PMCID: PMC8634082 DOI: 10.1093/brain/awab160] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/16/2021] [Accepted: 04/08/2021] [Indexed: 11/23/2022] Open
Abstract
Recent studies in cognitively unimpaired elderly individuals suggest that the APOE ε4 allele exerts a dosage-dependent effect on brain tau deposition. The aim of this study was to investigate sex differences in APOE ε4 gene dosage effects on brain tau deposition in cognitively impaired individuals using quantitative 18F-flortaucipir PET. Preprocessed 18F-flortaucipir tau PET images, T1-weighted structural MRI, demographic information, global cortical amyloid-β burden measured by 18F-florbetapir PET, CSF total tau and phosphorylated tau measurements were obtained from the Alzheimer’s Disease Neuroimaging Initiative database. Two hundred and sixty-eight cognitively impaired individuals with 146 APOE ε4 non-carriers and 122 carriers (85 heterozygotes and 37 homozygotes) were included in the study. An iterative reblurred Van Cittert iteration partial volume correction method was applied to all downloaded PET images. Magnetic resonance images were used for PET spatial normalization. Twelve regional standardized uptake value ratios relative to the cerebellum were computed in standard space. APOE ε4 dosage × sex interaction effect on 18F-flortaucipir standardized uptake value ratios was assessed using generalized linear models and sex-stratified analysis. We observed a significant APOE ε4 dosage × sex interaction effect on tau deposition in the lateral temporal, posterior cingulate, medial temporal, inferior temporal, entorhinal cortex, amygdala, parahippocampal gyrus regions after adjusting for age and education level (P < 0.05). The medial temporal, entorhinal cortex, amygdala and parahippocampal gyrus regions retained a significant APOE ε4 dosage × sex interaction effect on tau deposition after adjusting for global cortical amyloid-β (P < 0.05). In sex-stratified analysis, there was no significant difference in tau deposition between female homozygotes and heterozygotes (P > 0.05). In contrast, male homozygotes standardized uptake value ratios were significantly greater than heterozygotes or non-carriers throughout all 12 regions of interest (P < 0.05). Female heterozygotes exhibited significantly increased tau deposition compared to male heterozygotes in the orbitofrontal, posterior cingulate, lateral temporal, inferior temporal, entorhinal cortex, amygdala and parahippocampal gyrus (P < 0.05). Results from voxel-wise analysis were similar to the ones obtained from regions of interest analysis. Our findings indicate that an APOE ε4 dosage effect on brain region-specific tau deposition exists in males, but not females. These results have important clinical implications towards developing sex and genotype-guided therapeutics in Alzheimer’s disease and uncovers a potential explanation underlying differential APOE ε4-associated Alzheimer’s risk in males and females.
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Affiliation(s)
- Shaozhen Yan
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.,Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - Chaojie Zheng
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.,Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, China
| | - Manish D Paranjpe
- Harvard-MIT Program in Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
| | - Yanxiao Li
- Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, China.,School of Computer Science, the University of Sydney, NSW 2006, Australia
| | - Weihua Li
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiuying Wang
- School of Computer Science, the University of Sydney, NSW 2006, Australia
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.,Department of Neurology, Washington University in St. Louis School of Medicine, Saint Louis, MO, USA
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yun Zhou
- Mallinckrodt Institute of Radiology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.,Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, China
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38
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Affiliation(s)
- Parichita Choudhury
- Division of Behavioral Neurology, Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | - Vijay K Ramanan
- Division of Behavioral Neurology, Department of Neurology, Mayo Clinic, Rochester, Minnesota
| | - Bradley F Boeve
- Division of Behavioral Neurology, Department of Neurology, Mayo Clinic, Rochester, Minnesota
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Yu H, Su F, Wang LB, Hemminki K, Dharmage SC, Bowatte G, Bui D, Qian Z, Vaughn MG, Aaron HE, Xiong S, Shen X, Zhou Y, Zhou P, Zeng XW, Chen G, Yang BY, Hu LW, Dong GH. The Asthma Family Tree: Evaluating Associations Between Childhood, Parental, and Grandparental Asthma in Seven Chinese Cities. Front Pediatr 2021; 9:720273. [PMID: 34778126 PMCID: PMC8579020 DOI: 10.3389/fped.2021.720273] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 09/27/2021] [Indexed: 01/12/2023] Open
Abstract
Objective: To evaluate the associations between childhood, parental, and grandparental asthma. Methods: We studied 59,484 children randomly selected from 94 kindergartens, elementary, and middle schools in seven Chinese cities from 2012 to 2013, using a cross-sectional survey-based study design. Information on their and their family members' (parents, paternal grandparents, and maternal grandparents) asthma status were reported by children's parents or guardians. Mixed effects logistic regressions were used to assess hereditary patterns of asthma and mediation analysis was performed to estimate the potential mediation effect of parents on the association between grandparental asthma and childhood asthma. Results: The magnitude of ORs for childhood asthma increased as the number of family members affected by asthma increased. Among children who had one family member with asthma, childhood asthma was associated with asthma in maternal grandmothers (OR: 2.08, 95% CI: 1.67-2.59), maternal grandfathers (OR: 2.08, 95% CI: 1.71-2.53), paternal grandmothers (OR: 2.40, 95% CI: 1.93-2.99), and paternal grandfathers (OR: 2.59, 95% CI: 2.14-3.13). Among children who had two family members with asthma, the highest asthma risk was found when both parents had asthma (OR: 15.92, 95% CI: 4.66-54.45). Parents had a small proportion of mediation effect (9-12%) on the association between grandparental asthma and childhood asthma. Conclusions: Grandparents with asthma were associated with childhood asthma and parents with asthma partially mediated the association.
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Affiliation(s)
- Hongyao Yu
- Department of Occupational and Environmental Health, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Fan Su
- Department of Occupational and Environmental Health, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Le-Bing Wang
- Department of Occupational and Environmental Health, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Kari Hemminki
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czechia.,Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Shyamali C Dharmage
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Gayan Bowatte
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Dinh Bui
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, United States
| | - Michael G Vaughn
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, United States
| | - Hannah E Aaron
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, United States
| | - Shimin Xiong
- Department of Epidemiology, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Xubo Shen
- Department of Epidemiology, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Yuanzhong Zhou
- Department of Epidemiology, School of Public Health, Zunyi Medical University, Zunyi, China
| | - Peien Zhou
- Department of Occupational and Environmental Health, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiao-Wen Zeng
- Department of Occupational and Environmental Health, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Gongbo Chen
- Department of Occupational and Environmental Health, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Bo-Yi Yang
- Department of Occupational and Environmental Health, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li-Wen Hu
- Department of Occupational and Environmental Health, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Guang-Hui Dong
- Department of Occupational and Environmental Health, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
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40
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Bogolepova A, Vasenina E, Gomzyakova N, Gusev E, Dudchenko N, Emelin A, Zalutskaya N, Isaev R, Kotovskaya Y, Levin O, Litvinenko I, Lobzin V, Martynov M, Mkhitaryan E, Nikolay G, Palchikova E, Tkacheva O, Cherdak M, Chimagomedova A, Yakhno N. Clinical Guidelines for Cognitive Disorders in Elderly and Older Patients. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:6. [DOI: 10.17116/jnevro20211211036] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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Di Meco A, Vassar R. Early detection and personalized medicine: Future strategies against Alzheimer's disease. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2020; 177:157-173. [PMID: 33453940 PMCID: PMC8641915 DOI: 10.1016/bs.pmbts.2020.10.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Alzheimer's disease (AD) is the leading cause of dementia and sixth cause of death in elderly adults. AD poses a huge economic burden on society and constitutes an unprecedented challenge for caregivers and families affected. Aging of the population is projected to drastically aggravate the situation in the near future. To date, no therapy is available to prevent or ameliorate the disease. Moreover, several clinical trials for promising therapeutic agents have failed. Lack of supporting biomarker data for pre-symptomatic enrollment and inaccurate stratification of patients based on genetic heterogeneity appear to be contributing factors to this lack of success. Recently, the treatment of cancer has seen enormous advances based on the personalized genetics and biomarkers of the individual patient, forming the foundation of precision medicine for cancer. Likewise, technological progress in AD biomarker research promises the availability of reliable assays for pathology staging on a routine basis relatively soon. Moreover, tremendous achievements in AD genetics and high-throughput genotyping technology allow identification of predisposing risk alleles accurately and on a large scale. Finally, availability of electronic health records (EHR) promises the opportunity to integrate biomarker, genomic and clinical data efficiently. Together, these advances will form the basis of precision medicine for AD.
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Affiliation(s)
- Antonio Di Meco
- Department of Neurology, Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
| | - Robert Vassar
- Department of Neurology, Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
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42
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Mitochondrial abnormalities in neurodegenerative models and possible interventions: Focus on Alzheimer's disease, Parkinson's disease, Huntington's disease. Mitochondrion 2020; 55:14-47. [PMID: 32828969 DOI: 10.1016/j.mito.2020.08.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 05/22/2020] [Accepted: 08/14/2020] [Indexed: 12/12/2022]
Abstract
Mitochondrial abnormalities in the brain are considered early pathological changes in neurogenerative diseases, such as Alzheimer's disease (AD), Parkinson's disease (PD) and Huntington's disease (HD). The mitochondrial dysfunction in the brain can be induced by toxic proteins, including amyloid-beta (Aβ), phosphorylated tau, alpha-synuclein (α-syn) and mutant huntingtin (mtHTT). These proteins cause mitochondrial genome damage, increased oxidative stress, decreased mitochondrial membrane permeability, and diminished ATP production. Consequently, synaptic dysfunction, synaptic loss, neuronal apoptosis, and ultimately cognitive impairment are exhibited. Therefore, the restoration of mitochondrial abnormalities in the brain is an alternative intervention to delay the progression of neurodegenerative diseases in addition to reducing the level of toxic proteins, especially Aβ, and restored synaptic dysfunction by interventions. Here we comprehensively review mitochondrial alterations in the brain of neurodegenerative models, specifically AD, PD and HD, from both in vitro and in vivo studies. Additionally, the correlation between mitochondrial changes, cognitive function, and disease progression from in vivo studies is described. This review also summarizes interventions that possibly attenuate mitochondrial abnormalities in AD, PD and HD models from both in vitro and in vivo studies. This may lead to the introduction of novel therapies that target on brain mitochondria to delay the progression of AD, PD and HD.
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43
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Eren E, Hunt JFV, Shardell M, Chawla S, Tran J, Gu J, Vogt NM, Johnson SC, Bendlin BB, Kapogiannis D. Extracellular vesicle biomarkers of Alzheimer's disease associated with sub-clinical cognitive decline in late middle age. Alzheimers Dement 2020; 16:1293-1304. [PMID: 32588967 PMCID: PMC7984100 DOI: 10.1002/alz.12130] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 04/08/2020] [Accepted: 05/17/2020] [Indexed: 12/12/2022]
Abstract
Introduction Neuronal extracellular vesicle (nEV) tau and insulin signaling biomarkers may detect preclinical Alzheimer's disease and age‐associated cognitive decline. Methods This case‐control study used repeated serum samples from 73 cognitively declining and 73 stable Wisconsin Registry for Alzheimer's Prevention participants (62.4 ± 6.3 years old). We immunocaptured nEVs; measured tau and insulin signaling biomarkers; and examined biomarker differences by group, their performance in group classification in training and test datasets (97, 49 individuals, respectively), and whether they predict cognitive performance change. Results Declining compared to stable individuals showed higher baseline total, p231‐, and p181‐tau with older age and higher annualized change for p‐IR and p‐IGF‐1R. Combining biomarkers classified decliners with 94% area under the curve (AUC), 86.0% sensitivity and 86.7% specificity, in training data, and 75% AUC, 71.4% sensitivity, and 77.3% specificity, in test data. Insulin biomarkers predicted cognitive performance change prospectively. Discussion Combining nEV biomarkers can identify individuals with age‐associated cognitive decline.
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Affiliation(s)
- Erden Eren
- Laboratory of Clinical InvestigationIntramural Research ProgramNational Institute on AgingNIHBaltimoreMarylandUSA
| | - Jack F. V. Hunt
- Wisconsin Alzheimer's Disease Research CenterUniversity of WisconsinMadisonWisconsinUSA
| | | | - Sahil Chawla
- Laboratory of Clinical InvestigationIntramural Research ProgramNational Institute on AgingNIHBaltimoreMarylandUSA
| | - Joyce Tran
- Laboratory of Clinical InvestigationIntramural Research ProgramNational Institute on AgingNIHBaltimoreMarylandUSA
| | - Jeffrey Gu
- Laboratory of Clinical InvestigationIntramural Research ProgramNational Institute on AgingNIHBaltimoreMarylandUSA
| | - Nick M. Vogt
- Wisconsin Alzheimer's Disease Research CenterUniversity of WisconsinMadisonWisconsinUSA
| | - Sterling C. Johnson
- Wisconsin Alzheimer's Disease Research CenterUniversity of WisconsinMadisonWisconsinUSA
- Geriatric Research Education and Clinical Center of the Wm. S. MiddletonMemorial Veterans HospitalMadisonWisconsinUSA
| | - Barbara B. Bendlin
- Wisconsin Alzheimer's Disease Research CenterUniversity of WisconsinMadisonWisconsinUSA
| | - Dimitrios Kapogiannis
- Laboratory of Clinical InvestigationIntramural Research ProgramNational Institute on AgingNIHBaltimoreMarylandUSA
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Selič P, Klemenc-Ketiš Z, Zelko E, Kravos A, Rifel J, Makivić I, Poplas Susič A, Tevžič Š, Cerovič M, Peterlin B, Kopčavar Guček N. Development of an Algorithm for Determining of Genetic Risk at the Primary Healthcare Level - A New Tool for Primary Prevention: A Study Protocol. Zdr Varst 2020; 59:27-32. [PMID: 32952700 PMCID: PMC7478082 DOI: 10.2478/sjph-2020-0004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 10/21/2019] [Indexed: 01/05/2023] Open
Abstract
INTRODUCTION Family history (FH) is an important part of the patients' medical history during preventive management at model family medicine practices (MFMP). It currently includes a one (or two) generational inquiry, predominately in terms of cardiovascular diseases, arterial hypertension, and diabetes, but not of other diseases with a probable genetic aetiology. Beside family history, no application-based algorithm is available to determine the risk level for specific chronic diseases in Slovenia. METHODS A web application-based algorithm aimed at determining the risk level for selected monogenic and polygenic diseases will be developed. The data will be collected in MFMP; approximately 40 overall with a sample including healthy preventive examination attendees (approximately 1,000). Demographic data, a three-generational FH, a medical history of acquired and congenital risk factors for the selected diseases, and other important clinical factors will be documented. RESULTS The results will be validated by a clinical genetic approach based on family pedigrees and the next-generation genetic sequencing method. After the risk of genetic diseases in the Slovenian population has been determined, clinical pathways for acting according to the assessed risk level will be prepared. CONCLUSION By means of a public health tool providing an assessment of family predisposition, a contribution to the effective identification of people at increased risk of the selected monogenic and polygenic diseases is expected, lessening a significant public health burden.
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Affiliation(s)
- Polona Selič
- University of Ljubljana, Faculty of Medicine, Department of Family Medicine, Poljanski nasip 58, 1000Ljubljana, Slovenia
| | - Zalika Klemenc-Ketiš
- University of Ljubljana, Faculty of Medicine, Department of Family Medicine, Poljanski nasip 58, 1000Ljubljana, Slovenia
- Community Health Centre Ljubljana, Metelkova 9, 1000Ljubljana, Slovenia
- University of Maribor, Faculty of Medicine, Department of Family Medicine, Taborska 8, 2000Maribor, Slovenia
| | - Erika Zelko
- Community Health Centre Ljubljana, Metelkova 9, 1000Ljubljana, Slovenia
- University of Maribor, Faculty of Medicine, Department of Family Medicine, Taborska 8, 2000Maribor, Slovenia
| | - Andrej Kravos
- University of Maribor, Faculty of Medicine, Department of Family Medicine, Taborska 8, 2000Maribor, Slovenia
| | - Janez Rifel
- University of Ljubljana, Faculty of Medicine, Department of Family Medicine, Poljanski nasip 58, 1000Ljubljana, Slovenia
| | - Irena Makivić
- Community Health Centre Ljubljana, Metelkova 9, 1000Ljubljana, Slovenia
| | | | - Špela Tevžič
- Community Health Centre Ljubljana, Metelkova 9, 1000Ljubljana, Slovenia
| | - Metka Cerovič
- Community Health Centre dr. Adolfa Drolca Maribor, Ulica talcev 9, 2000Maribor, Slovenia
| | - Borut Peterlin
- University Medical Centre Ljubljana, Clinical Institute of Medical Genetics, Šlajmerjeva 4, 1000Ljubljana, Slovenia
| | - Nena Kopčavar Guček
- University of Ljubljana, Faculty of Medicine, Department of Family Medicine, Poljanski nasip 58, 1000Ljubljana, Slovenia
- Community Health Centre Ljubljana, Metelkova 9, 1000Ljubljana, Slovenia
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McSweeney M, Pichet Binette A, Meyer PF, Gonneaud J, Bedetti C, Ozlen H, Labonté A, Rosa-Neto P, Breitner J, Poirier J, Villeneuve S. Intermediate flortaucipir uptake is associated with Aβ-PET and CSF tau in asymptomatic adults. Neurology 2020; 94:e1190-e1200. [PMID: 32015176 DOI: 10.1212/wnl.0000000000008905] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 09/27/2019] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE To investigate relationships between flortaucipir (FTP) uptake, age, and established Alzheimer disease (AD) markers in asymptomatic adults at increased risk of AD. METHODS One-hundred nineteen individuals with a family history of AD (Presymptomatic Evaluation of Experimental or Novel Treatments of Alzheimer's Disease [PREVENT-AD] cohort, mean age 67 ± 5 years) underwent tau-PET ([18F]FTP), β-amyloid (Aβ)-PET ([18F]NAV4694 [NAV]), and cognitive assessment. Seventy-four participants also had CSF phosphorylated tau and total tau data available. We investigated the association between age and FTP in this relatively young cohort of older adults. We also investigated regional FTP standardized uptake value ratio (SUVR) differences between Aβ-positive and Aβ-negative individuals and regional correlations between FTP and NAV retention. In cortical regions showing consistent associations across analyses, we assessed whether FTP was in addition related to CSF tau and cognitive performance. Lastly, we identified the lowest FTP value at which associations with Aβ-PET, CSF, and cognition were detectable. RESULTS Increased age was associated only with amygdala and transverse temporal lobe FTP retention. Aβ-positive individuals had higher FTP SUVR values in several brain regions, further showing correlation with NAV load through the cortex. Increased FTP SUVRs in medial temporal regions were associated with increased CSF tau values and worse cognition. The SUVRs at which associations between entorhinal FTP SUVR and other AD markers were first detected differed by modality, with a detection point of 1.12 for CSF values, 1.2 for Aβ-PET, and 1.4 for cognition. CONCLUSIONS Relatively low FTP-PET SUVRs are associated with pathologic markers of AD in the preclinical phase of the disease. Adjustment in the tau threshold should be considered, depending on the purpose of the tau classification.
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Affiliation(s)
- Melissa McSweeney
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada
| | - Alexa Pichet Binette
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada
| | - Pierre-François Meyer
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada
| | - Julie Gonneaud
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada
| | - Christophe Bedetti
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada
| | - Hazal Ozlen
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada
| | - Anne Labonté
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada
| | - Pedro Rosa-Neto
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada
| | - John Breitner
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada
| | - Judes Poirier
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada
| | - Sylvia Villeneuve
- From the Departments of Psychiatry (M.M., A.P.B., P.-F.M., J.G., H.O., P.R.-N., J.B., J.P., S.V.) and Neurology & Neurosurgery (P.R.-N., S.V.), McGill University; Douglas Mental Health University Institute (M.M., A.P.B., J.G., P.-F.M., C.B., H.O., A.L., P.R.-N., J.B., J.P., S.V.); and McConnell Brain Imaging Center, Montreal Neurological Institute (S.V., P.R.-N.), Montreal, Quebec, Canada.
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46
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Talboom JS, Håberg A, De Both MD, Naymik MA, Schrauwen I, Lewis CR, Bertinelli SF, Hammersland C, Fritz MA, Myers AJ, Hay M, Barnes CA, Glisky E, Ryan L, Huentelman MJ. Family history of Alzheimer's disease alters cognition and is modified by medical and genetic factors. eLife 2019; 8:46179. [PMID: 31210642 PMCID: PMC6615857 DOI: 10.7554/elife.46179] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 06/13/2019] [Indexed: 01/02/2023] Open
Abstract
In humans, a first-degree family history of dementia (FH) is a well-documented risk factor for Alzheimer’s disease (AD); however, the influence of FH on cognition across the lifespan is poorly understood. To address this issue, we developed an internet-based paired-associates learning (PAL) task and tested 59,571 participants between the ages of 18–85. FH was associated with lower PAL performance in both sexes under 65 years old. Modifiers of this effect of FH on PAL performance included age, sex, education, and diabetes. The Apolipoprotein E ε4 allele was also associated with lower PAL scores in FH positive individuals. Here we show, FH is associated with reduced PAL performance four decades before the typical onset of AD; additionally, several heritable and non-heritable modifiers of this effect were identified.
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Affiliation(s)
- Joshua S Talboom
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
| | - Asta Håberg
- Norwegian University of Science and Technology, Trondheim, Norway
| | - Matthew D De Both
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
| | - Marcus A Naymik
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
| | - Isabelle Schrauwen
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
| | - Candace R Lewis
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
| | | | | | - Mason A Fritz
- The Translational Genomics Research Institute, Phoenix, United States
| | | | - Meredith Hay
- Arizona Alzheimer's Consortium, Phoenix, United States.,University of Arizona, Tucson, United States
| | - Carol A Barnes
- Arizona Alzheimer's Consortium, Phoenix, United States.,University of Arizona, Tucson, United States
| | - Elizabeth Glisky
- Arizona Alzheimer's Consortium, Phoenix, United States.,University of Arizona, Tucson, United States
| | - Lee Ryan
- Arizona Alzheimer's Consortium, Phoenix, United States.,University of Arizona, Tucson, United States
| | - Matthew J Huentelman
- The Translational Genomics Research Institute, Phoenix, United States.,Arizona Alzheimer's Consortium, Phoenix, United States
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47
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Meyer PF, McSweeney M, Gonneaud J, Villeneuve S. AD molecular: PET amyloid imaging across the Alzheimer's disease spectrum: From disease mechanisms to prevention. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 165:63-106. [PMID: 31481172 DOI: 10.1016/bs.pmbts.2019.05.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The advent of amyloid-beta (Aβ) positron emission tomography (PET) imaging has transformed the field of Alzheimer's disease (AD) by enabling the quantification of cortical Aβ accumulation and propagation in vivo. This revolutionary tool has made it possible to measure direct associations between Aβ and other AD biomarkers, to identify factors that influence Aβ accumulation and to redefine entry criteria into clinical trials as well as measure drug target engagement. This chapter summarizes the main findings on the associations of Aβ with other biomarkers of disease progression across the AD spectrum. It discusses investigations of the timing at which Aβ pathology starts to accumulate, demonstrates the clinical utility of Aβ PET imaging and discusses some ethical implications. Finally, it presents genetic and potentially modifiable lifestyle factors that might influence Aβ accumulation and therefore be targets for AD prevention.
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Affiliation(s)
- Pierre-François Meyer
- Centre for Studies on the Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, Montréal, Canada; McGill University, Montréal, Canada
| | - Melissa McSweeney
- Centre for Studies on the Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, Montréal, Canada; McGill University, Montréal, Canada
| | - Julie Gonneaud
- Centre for Studies on the Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, Montréal, Canada; McGill University, Montréal, Canada
| | - Sylvia Villeneuve
- Centre for Studies on the Prevention of Alzheimer's Disease, Douglas Mental Health University Institute, Montréal, Canada; McGill University, Montréal, Canada.
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