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Wang L, Li S, Hao Y, Liu X, Liu Y, Zuo L, Tai F, Yin L, Young LJ, Li D. Exposure to polystyrene microplastics reduces sociality and brain oxytocin levels through the gut-brain axis in mice. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 945:174026. [PMID: 38885706 DOI: 10.1016/j.scitotenv.2024.174026] [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: 03/14/2024] [Revised: 06/09/2024] [Accepted: 06/13/2024] [Indexed: 06/20/2024]
Abstract
The rising global prevalence of microplastics (MPs) has highlighted their diverse toxicological effects. The oxytocin (OT) system in mammals, deeply intertwined with social behaviors, is recognized to be vulnerable to environmental stressors. We hypothesized that MP exposure might disrupt this system, a topic not extensively studied. We investigated the effects of MPs on behavioral neuroendocrinology via the gut-brain axis by exposing adolescent male C57BL/6 mice to varied sizes (5 μm and 50 μm) and concentrations (100 μg/L and 1000 μg/L) of polystyrene MPs over 10 weeks. The results demonstrated that exposure to 50 μm MPs significantly reduced colonic mucin production and induced substantial alterations in gut microbiota. Notably, the 50 μm-100 μg/L group showed a significant reduction in OT content within the medial prefrontal cortex and associated deficits in sociality, along with damage to the blood-brain barrier. Importantly, blocking the vagal pathway ameliorated these behavioral impairments, emphasizing the pivotal role of the gut-brain axis in mediating neurobehavioral outcomes. Our findings confirm the toxicity of MPs on sociality and the corresponding neuroendocrine systems, shedding light on the potential hazards and adverse effects of environmental MPs exposure on social behavior and neuroendocrine frameworks in social mammals, including humans.
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Affiliation(s)
- Limin Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, China; Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, Hebei 050024, China; Ecology Postdoctoral Research Station at Hebei Normal University, Hebei Normal University, Shijiazhuang, Hebei 050024, China
| | - Shuxin Li
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, China
| | - Yaotong Hao
- Ocean College, Hebei Agricultural University, Qinhuangdao, Hebei 066003, China
| | - Xu Liu
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, China
| | - Yaqing Liu
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, China
| | - Lirong Zuo
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, China
| | - Fadao Tai
- Institute of Brain and Behavioral Sciences, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710062, China
| | - Liyun Yin
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, China; Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, Hebei 050024, China
| | - Larry J Young
- Center for Translational Social Neuroscience, Emory National Primate Research Center, Emory University, Atlanta, GA 3032, United States; Center for Social Neural Networks, Faculty of Human Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-857, Japan
| | - Dongming Li
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, Hebei 050024, China; Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, Hebei 050024, China.
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Wang Q, Li S, Cai B, Zhong L, Liu F, Wang X, Chen T. Genetic evidence supports a causal relationship between air pollution and brain imaging-derived phenotypes. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 281:116664. [PMID: 38954909 DOI: 10.1016/j.ecoenv.2024.116664] [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: 04/10/2024] [Revised: 06/25/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND Observational studies have reported associations between air pollutants and brain imaging-derived phenotypes (IDPs); however, whether this relationship is causal remains uncertain. METHODS We conducted bidirectional two-sample Mendelian randomization (MR) analyses to explore the causal relationships between 5 types of air pollutants (N=423,796 to 456,380 individuals) and 587 reliable IDPs (N=33,224 individuals). Two-step MR was also conducted to assess whether the identified effects are mediated through the modulation of circulating cytokines (N=8293). RESULTS We found genetic evidence supporting the association of nitrogen oxides (NOx) with mean intra-cellular volume fraction (ICVF) in the left uncinate fasciculus (IVW β=-0.42, 95 % CI -0.62 to -0.23, P=1.51×10-5) and mean fractional anisotropy (FA) in the left uncinate fasciculus (IVW β=-0.42, 95 % CI -0.62 to -0.21, P=4.89×10-5). In further two-step MR analyses, we did not find evidence that genetic predictions of any circulating cytokines mediated the association between NOx and IDPs. CONCLUSION This study provides evidence for the association between air pollutants and brain IDPs, emphasizing the importance of controlling air pollution to improve brain health.
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Affiliation(s)
- Qitong Wang
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, China
| | - Shuzhu Li
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, China
| | - Benchi Cai
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, China
| | - Lifan Zhong
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, China
| | - Fang Liu
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, China
| | - Xinyu Wang
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, China
| | - Tao Chen
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570311, China; Hainan Provincial Bureau of Disease Prevention and Control, Haikou 570100, China.
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Zhang T, Liu W, Yang T, Zhai Y, Gu X, Xu L, Li F, Wu M, Lin J. Association between ambient fine particular matter components and subsequent cognitive impairment in community-dwelling older people: a prospective cohort study from eastern China. Aging Clin Exp Res 2024; 36:150. [PMID: 39060791 PMCID: PMC11282123 DOI: 10.1007/s40520-024-02793-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 06/19/2024] [Indexed: 07/28/2024]
Abstract
BACKGROUND Fine particular matter (PM2.5) has been associated with dementia, but limited information is available regarding the association between PM2.5 components and dementia. AIMS We aimed to identify the major components of PM2.5 that affect cognitive function to further investigate its mechanism of action, and develop a prevention strategy for dementia. METHODS In this study, we included 7804 participants aged ≥ 60 years recruited from seven counties in Zhejiang province, eastern China. The participants completed the baseline survey between 2014 and 2015, and were followed up until the end of 2020. We adopted single-component robust Poisson regression models for analyses, and estimated relative risks and 95% confidence intervals describing associations between the chemical constituents of PM2.5 exposure and incident cognitive impairment in those who were free from cognitive impairment at baseline. RESULTS Significantly positive associations were observed between sulfate, nitrate, ammonium, and organic matter in PM2.5 and incident cognitive impairment across different exposure periods; the relative risks of 10-year exposure before enrollment ranged from 1.01 to 1.02. However, we did not find a significant association between black carbon and cognitive impairment. The point estimates of the relative risk values did not change substantially after performing the sensitivity analyses. CONCLUSIONS Our findings strengthen the idea that long-term exposure to PM2.5 mass and its chemical components is associated with an elevated risk of incident cognitive impairment among older adults.
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Affiliation(s)
- Tao Zhang
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Wenfeng Liu
- Office, Changshan Center for Disease Control and Prevention, Quzhou, Zhejiang, China
| | - Tao Yang
- Office, Yuhang Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Yujia Zhai
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xue Gu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Le Xu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Fudong Li
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Mengna Wu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Junfen Lin
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
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Contador I, Buch-Vicente B, del Ser T, Llamas-Velasco S, Villarejo-Galende A, Benito-León J, Bermejo-Pareja F. Charting Alzheimer's Disease and Dementia: Epidemiological Insights, Risk Factors and Prevention Pathways. J Clin Med 2024; 13:4100. [PMID: 39064140 PMCID: PMC11278014 DOI: 10.3390/jcm13144100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 07/08/2024] [Accepted: 07/09/2024] [Indexed: 07/28/2024] Open
Abstract
Alzheimer's disease (AD), the most common cause of dementia, is a complex and multifactorial condition without cure at present. The latest treatments, based on anti-amyloid monoclonal antibodies, have only a modest effect in reducing the progression of cognitive decline in AD, whereas the possibility of preventing AD has become a crucial area of research. In fact, recent studies have observed a decrease in dementia incidence in developed regions such as the US and Europe. However, these trends have not been mirrored in non-Western countries (Japan or China), and the contributing factors of this reduction remain unclear. The Lancet Commission has delineated a constrained classification of 12 risk factors across different life stages. Nevertheless, the scientific literature has pointed to over 200 factors-including sociodemographic, medical, psychological, and sociocultural conditions-related to the development of dementia/AD. This narrative review aims to synthesize the risk/protective factors of dementia/AD. Essentially, we found that risk/protective factors vary between individuals and populations, complicating the creation of a unified prevention strategy. Moreover, dementia/AD explanatory mechanisms involve a diverse array of genetic and environmental factors that interact from the early stages of life. In the future, studies across different population-based cohorts are essential to validate risk/protective factors of dementia. This evidence would help develop public health policies to decrease the incidence of dementia.
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Affiliation(s)
- Israel Contador
- Department of Basic Psychology, Psychobiology, and Methodology of Behavioral Sciences, Faculty of Psychology, University of Salamanca, 37005 Salamanca, Spain
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 17117 Stockholm, Sweden
| | - Bárbara Buch-Vicente
- Department of Basic Psychology, Psychobiology, and Methodology of Behavioral Sciences, Faculty of Psychology, University of Salamanca, 37005 Salamanca, Spain
| | - Teodoro del Ser
- Alzheimer Centre Reina Sofia—CIEN Foundation, Institute of Health Carlos III, 28031 Madrid, Spain;
| | - Sara Llamas-Velasco
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain; (S.L.-V.); (A.V.-G.); (J.B.-L.)
- Department of Neurology, University Hospital 12 de Octubre, 28041 Madrid, Spain
| | - Alberto Villarejo-Galende
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain; (S.L.-V.); (A.V.-G.); (J.B.-L.)
- Department of Neurology, University Hospital 12 de Octubre, 28041 Madrid, Spain
| | - Julián Benito-León
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain; (S.L.-V.); (A.V.-G.); (J.B.-L.)
- Department of Neurology, University Hospital 12 de Octubre, 28041 Madrid, Spain
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), 28029 Madrid, Spain
- Department of Medicine, Faculty of Medicine, Complutense University, 28040 Madrid, Spain
| | - Félix Bermejo-Pareja
- Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas (CIBERNED), 28029 Madrid, Spain
- Department of Medicine, Faculty of Medicine, Complutense University, 28040 Madrid, Spain
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Lin YC, Fan KC, Wu CD, Pan WC, Chen JC, Chao YP, Lai YJ, Chiu YL, Chuang YF. Yearly change in air pollution and brain aging among older adults: A community-based study in Taiwan. ENVIRONMENT INTERNATIONAL 2024; 190:108876. [PMID: 39002330 DOI: 10.1016/j.envint.2024.108876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 07/02/2024] [Accepted: 07/04/2024] [Indexed: 07/15/2024]
Abstract
BACKGROUND Air pollution is recognized as a modifiable risk factor for dementia, and recent evidence suggests that improving air quality could attenuate cognitive decline and reduce dementia risk. However, studies have yet to explore the effects of improved air quality on brain structures. This study aims to investigate the impact of air pollution reduction on cognitive functions and structural brain differences among cognitively normal older adults. METHODS Four hundred and thirty-one cognitively normal older adults were from the Epidemiology of Mild Cognitive Impairment study in Taiwan (EMCIT), a community-based cohort of adults aged 60 and older, between year 2017- 2021. Annual concentrations of PM2.5, NO2, O3, and PM10 at participants' residential addresses during the 10 years before enrollment were estimated using ensemble mixed spatial models. The yearly rate of change (slope) in air pollutants was estimated for each participant. Cognitive functions and structural brain images were collected during enrollment. The relationships between the rate of air pollution change and cognitive functions were examined using linear regression models. For air pollutants with significant findings in relation to cognitive function, we further explored the association with brain structure. RESULTS Overall, all pollutant concentrations, except O3, decreased over the 10-year period. The yearly rates of change (slopes) in PM2.5 and NO2 were correlated with better attention (PM2.5: r = -0.1, p = 0.047; NO2: r = -0.1, p = 0.03) and higher white matter integrity in several brain regions. These regions included anterior thalamic radiation, superior longitudinal fasciculus, inferior longitudinal fasciculus, corticospinal tract, and inferior fronto-occipital fasciculus. CONCLUSIONS Greater rate of reduction in air pollution was associated with better attention and attention-related white matter integrity. These results provide insight into the mechanism underlying the relationship between air pollution, brain health, and cognitive aging among older adults.
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Affiliation(s)
- Ying-Cen Lin
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Kang-Chen Fan
- School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Tainan, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan; Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung, Taiwan; Research Center for Precision Environmental Medicine, Koahsiung Medical University, Koahsiung, Taiwan
| | - Wen-Chi Pan
- Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Jiu-Chiuan Chen
- Departments of Population & Public Health Sciences and Neurology, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA
| | - Yi-Ping Chao
- Department of Biomedical Engineering, Chang Gung University, Taoyuan, Taiwan; Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan; Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Yen-Jun Lai
- Division of Medical Imaging, Department of Radiology, Far Eastern Memorial Hospital, New Taipei, Taiwan
| | - Yen-Ling Chiu
- Department of Medical Research, Far Eastern Memorial Hospital, Taipei, Taiwan; Graduate Program in Biomedical Informatics and Graduate Institute of Medicine, Yuan Ze University, Taoyuan, Taiwan; Graduate Institute of Clinical Medicine, National Taiwan University, Taipei, Taiwan
| | - Yi-Fang Chuang
- Institute of Public Health, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; International Health Program, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Psychiatry, Far Eastern Memorial Hospital, New Taipei, Taiwan; Health Innovation Center, National Yang Ming Chao Tung Univeristy, Taipei, Taiwan.
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Jang BG, Choi B, Kim MJ. Pyrogallol intermediates elicit beta-amyloid secretion via radical formation and alterations in intracellular trafficking, distinct from pyrogallol-generated superoxide. Redox Biol 2024; 73:103180. [PMID: 38795546 PMCID: PMC11140794 DOI: 10.1016/j.redox.2024.103180] [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: 04/03/2024] [Revised: 04/29/2024] [Accepted: 05/01/2024] [Indexed: 05/28/2024] Open
Abstract
This study unveils a novel role of pyrogallol (PG), a recognized superoxide generator, in inducing beta-amyloid (Aβ) secretion in an Alzheimer's disease (AD) cellular model. Contrary to expectations, the analysis of dihydroethidium fluorescence and UV-VIS spectrum scanning reveals that Aβ secretion arises from PG reaction intermediates rather than superoxide or other by-products. Investigation into Aβ secretion mechanisms identifies dynasore-dependent endocytosis and BFA-dependent exocytosis as independent pathways, regulated by tiron, tempol, and superoxide dismutase. Cell-type specificity is observed, with 293sw cells showing both pathways, while H4sw cells and primary astrocytes from an AD animal model exclusively exhibit the Aβ exocytosis pathway. This exploration contributes to understanding PG's chemical reactions and provides insights into the interplay between environmental factors, free radicals, and AD, linking occupational PG exposure to AD risk as reported in the literature.
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Affiliation(s)
- Bong-Geum Jang
- Institute of Epilepsy Research, College of Medicine, Hallym University, Chuncheon, 24252, South Korea
| | - Boyoung Choi
- Institute of Epilepsy Research, College of Medicine, Hallym University, Chuncheon, 24252, South Korea
| | - Min-Ju Kim
- Institute of Epilepsy Research, College of Medicine, Hallym University, Chuncheon, 24252, South Korea; Department of Anatomy and Neurobiology, College of Medicine, Hallym University, Chuncheon, 24252, South Korea.
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Barrera-Ocampo A. Monoclonal antibodies and aptamers: The future therapeutics for Alzheimer's disease. Acta Pharm Sin B 2024; 14:2795-2814. [PMID: 39027235 PMCID: PMC11252463 DOI: 10.1016/j.apsb.2024.03.034] [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: 02/06/2024] [Revised: 03/06/2024] [Accepted: 03/14/2024] [Indexed: 07/20/2024] Open
Abstract
Alzheimer's disease (AD) is considered the most common and prevalent form of dementia of adult-onset with characteristic progressive impairment in cognition and memory. The cure for AD has not been found yet and the treatments available until recently were only symptomatic. Regardless of multidisciplinary approaches and efforts made by pharmaceutical companies, it was only in the past two years that new drugs were approved for the treatment of the disease. Amyloid beta (Aβ) immunotherapy is at the core of this therapy, which is one of the most innovative approaches looking to change the course of AD. This technology is based on synthetic peptides or monoclonal antibodies (mAb) to reduce Aβ levels in the brain and slow down the advance of neurodegeneration. Hence, this article reviews the state of the art about AD neuropathogenesis, the traditional pharmacologic treatment, as well as the modern active and passive immunization describing approved drugs, and drug prototypes currently under investigation in different clinical trials. In addition, future perspectives on immunotherapeutic strategies for AD and the rise of the aptamer technology as a non-immunogenic alternative to curb the disease progression are discussed.
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Affiliation(s)
- Alvaro Barrera-Ocampo
- Facultad de Ingeniería, Diseño y Ciencias Aplicadas, Departamento de Ciencias Farmacéuticas y Químicas, Grupo Natura, Universidad Icesi, Cali 760031, Colombia
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Astolphi Lima C, Alsunaidi S, Lowe S, Hogan DB, Dennett L, Jones CA, Yamamoto S. Exploring the influence of weather variability and climate change on health outcomes in people living with dementia: A scoping review protocol. PLoS One 2024; 19:e0304181. [PMID: 38913693 PMCID: PMC11195938 DOI: 10.1371/journal.pone.0304181] [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: 10/19/2023] [Accepted: 05/04/2024] [Indexed: 06/26/2024] Open
Abstract
Environmental factors resulting from climate change and air pollution are risk factors for many chronic conditions including dementia. Although research has shown the impacts of air pollution in terms of cognitive status, less is known about the association between climate change and specific health-related outcomes of older people living with dementia. In response, we outline a scoping review protocol to systematically review the published literature regarding the evidence of climate change, including temperature and weather variability, on health-related quality of life, morbidity, mobility, falls, the utilization of health resources, and mortality among older adults living with dementia. This scoping review will be guided by the framework proposed by Arksey and O'Malley. Electronic search (Medline, Embase, PsycINFO, CINAHL, Scopus, Web of Science) using relevant subject headings and synonyms for two concepts (older people with dementia, weather/ climate change). No publication date or other restrictions will be applied to the search strategy. No language restriction will be applied in order to understand the impact of non-English studies in the literature. Eligible studies must include older adults (65+years) with dementia living in the community and investigate the impacts of climate change and/or weather on their health-related quality of life, morbidity, mobility, falls, use of health resources and mortality. Two independent reviewers will screen abstracts and select those for a full-text review, perform these reviews, select articles for retention, and extract data from them in a standardized manner. This data will then be synthesized and interpreted. OSF registration: DOI: 10.17605/OSF.IO/YRFM8.
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Affiliation(s)
- Camila Astolphi Lima
- School of Public Health, Edmonton Clinic Health Academy, University of Alberta, Edmonton, AB, Canada
| | - Sara Alsunaidi
- School of Public Health, Edmonton Clinic Health Academy, University of Alberta, Edmonton, AB, Canada
| | - Samuel Lowe
- School of Public Health, Edmonton Clinic Health Academy, University of Alberta, Edmonton, AB, Canada
| | - David B. Hogan
- Cumming School of Medicine, Departments of Medicine and Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Liz Dennett
- Geoffrey and Robyn Sperber Health Sciences Library, University of Alberta, Edmonton, AB, Canada
| | - C. Allyson Jones
- Department of Physical Therapy, University of Alberta, Edmonton, AB, Canada
| | - Shelby Yamamoto
- School of Public Health, Edmonton Clinic Health Academy, University of Alberta, Edmonton, AB, Canada
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Mincuzzi A, Lodeserto P, Zollino J, Sardone R, Bisceglia L, Addabbo F, Minerba S, Colacicco VG, Giannico OV. Sex, environment, and death rate in a dementia cohort: a seven-years Bayesian survival analysis using medications data from a contaminated area in Italy. Front Public Health 2024; 12:1380609. [PMID: 38952726 PMCID: PMC11216074 DOI: 10.3389/fpubh.2024.1380609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/14/2024] [Indexed: 07/03/2024] Open
Abstract
Introduction Studies have analyzed the effects of industrial installations on the environment and human health in Taranto, Southern Italy. Literature documented associations between different variables and dementia mortality among both women and men. The present study aims to investigate the associations between sex, environment, age, disease duration, pandemic years, anti-dementia drugs, and death rate. Methods Data from the regional medication registry were used. All women and men with an anti-dementia medication between 2015 and 2021 were included and followed-up to 2021. Bayesian mixed effects logistic and Cox regression models with time varying exposures were fitted using integrated nested Laplace approximations and adjusting for patients and therapy characteristics. Results A total of 7,961 person-years were observed. Variables associated with lower prevalence of acetylcholinesterase inhibitors (AChEIs) medication were male sex (OR 0.63, 95% CrI 0.42-0.96), age 70-79 years (OR 0.17, 95% CrI 0.06-0.47) and ≥ 80 years (OR 0.08, 95% CrI 0.03-0.23), disease duration of 2-3 years (OR 0.43, 95% CrI 0.32-0.56) and 4-6 years (OR 0.21, 95% CrI 0.13-0.33), and pandemic years 2020 (OR 0.50, 95% CrI 0.37-0.67) and 2021 (OR 0.47, 95% CrI 0.33-0.65). Variables associated with higher mortality were male sex (HR 2.14, 95% CrI 1.75-2.62), residence in the contaminated site of national interest (SIN) (HR 1.25, 95% CrI 1.02-1.53), age ≥ 80 years (HR 6.06, 95% CrI 1.94-18.95), disease duration of 1 year (HR 1.50, 95% CrI 1.12-2.01), 2-3 years (HR 1.90, 95% CrI 1.45-2.48) and 4-6 years (HR 2.21, 95% CrI 1.60-3.07), and pandemic years 2020 (HR 1.38, 95% CrI 1.06-1.80) and 2021 (HR 1.56, 95% CrI 1.21-2.02). Variables associated with lower mortality were therapy with AChEIs alone (HR 0.69, 95% CrI 0.56-0.86) and in combination with memantine (HR 0.54, 95% CrI 0.37-0.81). Discussion Male sex, age, disease duration, and pandemic years appeared to be associated with lower AChEIs medications. Male sex, residence in the SIN of Taranto, age, disease duration, and pandemic years seemed to be associated with an increased death rate, while AChEIs medication seemed to be associated with improved survival rate.
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Affiliation(s)
- Antonia Mincuzzi
- Unit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy
| | - Paolo Lodeserto
- Unit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy
| | - Jennifer Zollino
- Unit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy
| | - Rodolfo Sardone
- Unit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy
| | - Lucia Bisceglia
- Epidemiology and Care Intelligence Area, Strategic Regional Agency for Health and Social Care of Apulia, Bari, Italy
| | - Francesco Addabbo
- Unit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy
| | - Sante Minerba
- Healthcare Management, Local Health Authority of Taranto, Taranto, Italy
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Huang YY, Gan YH, Yang L, Cheng W, Yu JT. Depression in Alzheimer's Disease: Epidemiology, Mechanisms, and Treatment. Biol Psychiatry 2024; 95:992-1005. [PMID: 37866486 DOI: 10.1016/j.biopsych.2023.10.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/13/2023] [Accepted: 10/07/2023] [Indexed: 10/24/2023]
Abstract
Depression and Alzheimer's disease (AD) are substantial public health concerns. In the past decades, a link between the 2 disease entities has received extensive acknowledgment, yet the complex nature of this relationship demands further clarification. Some evidence indicates that midlife depression may be an AD risk factor, while a chronic course of depression in late life may be a precursor to or symptom of dementia. Recently, multiple pathophysiological mechanisms have been proposed to underlie the bidirectional relationship between depression and AD, including genetic predisposition, immune dysregulation, accumulation of AD-related biomarkers (e.g., amyloid-β and tau), and alterations in brain structure. Accordingly, numerous therapeutic approaches, such as pharmacology treatments, psychotherapy, and lifestyle interventions, have been suggested as potential means of interfering with these pathways. However, the current literature on this topic remains fragmented and lacks a comprehensive review characterizing the association between depression and AD. In this review, we aim to address these gaps by providing an overview of the co-occurrence and temporal relationship between depression and AD, as well as exploring their underlying mechanisms. We also examine the current therapeutic regimens for depression and their implications for AD management and outline key challenges facing the field.
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Affiliation(s)
- Yu-Yuan Huang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-Han Gan
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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11
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Bratman GN, Bembibre C, Daily GC, Doty RL, Hummel T, Jacobs LF, Kahn PH, Lashus C, Majid A, Miller JD, Oleszkiewicz A, Olvera-Alvarez H, Parma V, Riederer AM, Sieber NL, Williams J, Xiao J, Yu CP, Spengler JD. Nature and human well-being: The olfactory pathway. SCIENCE ADVANCES 2024; 10:eadn3028. [PMID: 38748806 DOI: 10.1126/sciadv.adn3028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 04/12/2024] [Indexed: 07/04/2024]
Abstract
The world is undergoing massive atmospheric and ecological change, driving unprecedented challenges to human well-being. Olfaction is a key sensory system through which these impacts occur. The sense of smell influences quality of and satisfaction with life, emotion, emotion regulation, cognitive function, social interactions, dietary choices, stress, and depressive symptoms. Exposures via the olfactory pathway can also lead to (anti-)inflammatory outcomes. Increased understanding is needed regarding the ways in which odorants generated by nature (i.e., natural olfactory environments) affect human well-being. With perspectives from a range of health, social, and natural sciences, we provide an overview of this unique sensory system, four consensus statements regarding olfaction and the environment, and a conceptual framework that integrates the olfactory pathway into an understanding of the effects of natural environments on human well-being. We then discuss how this framework can contribute to better accounting of the impacts of policy and land-use decision-making on natural olfactory environments and, in turn, on planetary health.
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Affiliation(s)
- Gregory N Bratman
- School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, USA
- Department of Psychology, University of Washington, Seattle, WA 98195, USA
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA
| | - Cecilia Bembibre
- Institute for Sustainable Heritage, University College London, London, UK
| | - Gretchen C Daily
- Natural Capital Project, Stanford University, Stanford, CA 94305, USA
- Department of Biology, Stanford University, Stanford, CA 94305, USA
- Woods Institute, Stanford University, Stanford, CA 94305, USA
| | - Richard L Doty
- Smell and Taste Center, Department of Otorhinolaryngology: Head and Neck Surgery, University of Pennsylvania Perelman School of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Thomas Hummel
- Interdisciplinary Center Smell and Taste, Department of Otorhinolaryngology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Lucia F Jacobs
- Department of Psychology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Peter H Kahn
- School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, USA
- Department of Psychology, University of Washington, Seattle, WA 98195, USA
| | - Connor Lashus
- School of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195, USA
| | - Asifa Majid
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | | | - Anna Oleszkiewicz
- Interdisciplinary Center Smell and Taste, Department of Otorhinolaryngology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Institute of Psychology, University of Wroclaw, Wrocław, Poland
| | | | | | - Anne M Riederer
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA
| | - Nancy Long Sieber
- T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
| | - Jonathan Williams
- Air Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany
- Climate and Atmosphere Research Center, The Cyprus Institute, Nicosia, Cyprus
| | - Jieling Xiao
- College of Architecture, Birmingham City University, Birmingham, UK
| | - Chia-Pin Yu
- School of Forestry and Resource Conservation, National Taiwan University, Taiwan
- The Experimental Forest, College of Bio-Resources and Agriculture, National Taiwan University, Taiwan
| | - John D Spengler
- T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
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12
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Zeng X, Chen Y, Sehrawat A, Lee J, Lafferty TK, Kofler J, Berman SB, Sweet RA, Tudorascu DL, Klunk WE, Ikonomovic MD, Pfister A, Zetterberg H, Snitz BE, Cohen AD, Villemagne VL, Pascoal TA, Kamboh ML, Lopez OI, Blennow K, Karikari TK. Alzheimer blood biomarkers: practical guidelines for study design, sample collection, processing, biobanking, measurement and result reporting. Mol Neurodegener 2024; 19:40. [PMID: 38750570 PMCID: PMC11095038 DOI: 10.1186/s13024-024-00711-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 02/13/2024] [Indexed: 05/19/2024] Open
Abstract
Alzheimer's disease (AD), the most common form of dementia, remains challenging to understand and treat despite decades of research and clinical investigation. This might be partly due to a lack of widely available and cost-effective modalities for diagnosis and prognosis. Recently, the blood-based AD biomarker field has seen significant progress driven by technological advances, mainly improved analytical sensitivity and precision of the assays and measurement platforms. Several blood-based biomarkers have shown high potential for accurately detecting AD pathophysiology. As a result, there has been considerable interest in applying these biomarkers for diagnosis and prognosis, as surrogate metrics to investigate the impact of various covariates on AD pathophysiology and to accelerate AD therapeutic trials and monitor treatment effects. However, the lack of standardization of how blood samples and collected, processed, stored analyzed and reported can affect the reproducibility of these biomarker measurements, potentially hindering progress toward their widespread use in clinical and research settings. To help address these issues, we provide fundamental guidelines developed according to recent research findings on the impact of sample handling on blood biomarker measurements. These guidelines cover important considerations including study design, blood collection, blood processing, biobanking, biomarker measurement, and result reporting. Furthermore, the proposed guidelines include best practices for appropriate blood handling procedures for genetic and ribonucleic acid analyses. While we focus on the key blood-based AD biomarkers for the AT(N) criteria (e.g., amyloid-beta [Aβ]40, Aβ42, Aβ42/40 ratio, total-tau, phosphorylated-tau, neurofilament light chain, brain-derived tau and glial fibrillary acidic protein), we anticipate that these guidelines will generally be applicable to other types of blood biomarkers. We also anticipate that these guidelines will assist investigators in planning and executing biomarker research, enabling harmonization of sample handling to improve comparability across studies.
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Affiliation(s)
- Xuemei Zeng
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Yijun Chen
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Anuradha Sehrawat
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Jihui Lee
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Tara K Lafferty
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Julia Kofler
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Sarah B Berman
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Robert A Sweet
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Dana L Tudorascu
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - William E Klunk
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Milos D Ikonomovic
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA
| | - Anna Pfister
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Beth E Snitz
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Anne D Cohen
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Victor L Villemagne
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
| | - Tharick A Pascoal
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - M Llyas Kamboh
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Oscar I Lopez
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Thomas K Karikari
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA.
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
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13
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Adhikari A, Nwosu A, Qian M, Hellegers C, Devanand DP, Doraiswamy PM. Characterizing Neighborhood Vulnerabilities in Mild Cognitive Impairment using the Environmental Justice Index. J Alzheimers Dis Rep 2024; 8:793-804. [PMID: 38910939 PMCID: PMC11191642 DOI: 10.3233/adr-240020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 04/10/2024] [Indexed: 06/25/2024] Open
Abstract
Background There is a need for integration and comprehensive characterization of environmental determinants of Alzheimer's disease. The Environmental Justice Index (EJI) is a new measure that consolidates multiple environmental health hazards. Objective This analysis aims to explore how environmental vulnerabilities vary by race/ethnicity and whether they predict cognitive outcomes in a clinical trial of mild cognitive impairment (MCI). Methods We used data from a clinical trial of 107 MCI participants (28% minorities). Using the EJI, we extracted 40 measures of neighborhood environmental and social vulnerability including air and water pollution, access to recreational spaces, exposure to coal and lead mines, and area poverty. We also examined the relationship of the EJI to the Area Deprivation Index (ADI). Data was analyzed using regressions, correlations, and t-tests. Results Environmental Burden Rank (EBR) across the sample (0.53±0.32) was near the 50th percentile nationally. When divided by race/ethnicity, environmental (p = 0.025) and social (p < 0.0001) vulnerabilities were significantly elevated for minorities, specifically for exposure to ozone, diesel particulate matter, carcinogenic air toxins, and proximity to treatment storage and disposal sites. ADI state decile was not correlated with the EBR. Neither EBR nor ADI were a significant predictor of cognitive decline. Conclusions To our knowledge, this is the first study to link the EJI to an MCI trial. Despite limitations of a relatively small sample size, the study illustrates the potential of the EJI to provide deeper phenotyping of the exposome and diversity in clinical trial subjects.
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Affiliation(s)
- Alisa Adhikari
- Department of Psychiatry, Neurocognitive Disorders Program, Duke University School of Medicine, Durham, NC, USA
| | - Adaora Nwosu
- Department of Psychiatry, Neurocognitive Disorders Program, Duke University School of Medicine, Durham, NC, USA
| | - Min Qian
- Department of Biostatistics, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA
| | - Caroline Hellegers
- Department of Psychiatry, Neurocognitive Disorders Program, Duke University School of Medicine, Durham, NC, USA
| | - Davangere P. Devanand
- Department of Psychiatry, Columbia University Medical Center, and the New York State Psychiatric Institute, New York, NY, USA
| | - P. Murali Doraiswamy
- Department of Psychiatry, Neurocognitive Disorders Program, Duke University School of Medicine, Durham, NC, USA
- Center for the Study of Aging and the Duke Institute for Brain Sciences, Durham, NC, USA
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14
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Wu YT, Kitwiroon N, Beevers S, Barratt B, Brayne C, Cerin E, Franklin R, Houlden V, Woods B, Zied Abozied E, Prina M, Matthews F. The longitudinal associations between ambient air pollution exposure and dementia in the UK: results from the cognitive function and ageing study II and Wales. BMC Public Health 2024; 24:1233. [PMID: 38702710 PMCID: PMC11069162 DOI: 10.1186/s12889-024-18723-3] [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: 11/25/2023] [Accepted: 04/28/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Air pollution has been recognised as a potential risk factor for dementia. Yet recent epidemiological research shows mixed evidence. The aim of this study is to investigate the longitudinal associations between ambient air pollution exposure and dementia in older people across five urban and rural areas in the UK. METHODS This study was based on two population-based cohort studies of 11329 people aged ≥ 65 in the Cognitive Function and Ageing Study II (2008-2011) and Wales (2011-2013). An algorithmic diagnosis method was used to identify dementia cases. Annual concentrations of four air pollutants (NO2, O3, PM10, PM2.5) were modelled for the year 2012 and linked via the participants' postcodes. Multistate modelling was used to examine the effects of exposure to air pollutants on incident dementia incorporating death and adjusting for sociodemographic factors and area deprivation. A random-effect meta-analysis was carried out to summarise results from the current and nine existing cohort studies. RESULTS Higher exposure levels of NO2 (HR: 1.04; 95% CI: 0.94, 1.14), O3 (HR: 0.90; 95% CI: 0.70, 1.15), PM10 (HR: 1.17; 95% CI: 0.86, 1.58), PM2.5 (HR: 1.41; 95% CI: 0.71, 2.79) were not strongly associated with dementia in the two UK-based cohorts. Inconsistent directions and strengths of the associations were observed across the two cohorts, five areas, and nine existing studies. CONCLUSIONS In contrast to the literature, this study did not find clear associations between air pollution and dementia. Future research needs to investigate how methodological and contextual factors can affect evidence in this field and clarity the influence of air pollution exposure on cognitive health over the lifecourse.
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Affiliation(s)
- Yu-Tzu Wu
- Population Health Sciences Institute, Faculty of Medical Sciences, Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK.
| | - Nutthida Kitwiroon
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Sean Beevers
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Benjamin Barratt
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Ester Cerin
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Rachel Franklin
- Centre for Urban and Regional Development Studies (CURDS), School of Geography, Politics and Sociology, Newcastle University, Newcastle Upon Tyne, UK
| | | | - Bob Woods
- Dementia Services Development Centre, Bangor University, Bangor, Gwynedd, UK
| | - Eman Zied Abozied
- Population Health Sciences Institute, Faculty of Medical Sciences, Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK
| | - Matthew Prina
- Population Health Sciences Institute, Faculty of Medical Sciences, Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK
| | - Fiona Matthews
- Population Health Sciences Institute, Faculty of Medical Sciences, Campus for Ageing and Vitality, Newcastle University, Newcastle Upon Tyne, NE4 5PL, UK
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15
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Porru S, Esplugues A, Llop S, Delgado-Saborit JM. The effects of heavy metal exposure on brain and gut microbiota: A systematic review of animal studies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 348:123732. [PMID: 38462196 DOI: 10.1016/j.envpol.2024.123732] [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: 10/17/2023] [Revised: 02/12/2024] [Accepted: 03/05/2024] [Indexed: 03/12/2024]
Abstract
The gut-brain axis is a crucial interface between the central nervous system and the gut microbiota. Recent evidence shows that exposure to environmental contaminants, such as heavy metals, can cause dysbiosis in gut microbiota, which may affect the gut-brain communication, impacting aspects of brain function and behavior. This systematic review of the literature aims to evaluate whether deleterious effects on brain function due to heavy metal exposure could be mediated by changes in the gut microbiota profile. Animal studies involving exposure to heavy metals and a comparison with a control group that evaluated neuropsychological outcomes and/or molecular outcomes along with the analysis of microbiota composition were reviewed. The authors independently assessed studies for inclusion, extracted data and assessed risk of bias using the protocol of Systematic Review Center for Laboratory Animal Experimentation (SYRCLE) for preclinical studies. A search in 3 databases yielded 16 eligible studies focused on lead (n = 10), cadmium (n = 1), mercury (n = 3), manganese (n = 1), and combined exposure of lead and manganese (n = 1). The animal species were rats (n = 7), mice (n = 4), zebrafish (n = 3), carp (n = 1) and fruit fly (n = 1). Heavy metals were found to adversely affect cognitive function, behavior, and neuronal morphology. Moreover, heavy metal exposure was associated with changes in the abundance of specific bacterial phyla, such as Firmicutes and Proteobacteria, which play crucial roles in gut health. In some studies, these alterations were correlated with learning and memory impairments and mood disorders. The interplay of heavy metals, gut microbiota, and brain suggests that heavy metals can induce direct brain alterations and indirect effects through the microbiota, contributing to neurotoxicity and the development of neuropsychological disorders. However, the small number of papers under review makes it difficult to draw definitive conclusions. Further research is warranted to unravel the underlying mechanisms and evaluate the translational implications for human health.
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Affiliation(s)
- Simona Porru
- Department of Medicine, Faculty of Health Sciences. Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain
| | - Ana Esplugues
- Faculty of Nursing and Podiatry, Universitat de València, C/Menendez Pelayo S/n, 46010, València, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de Valencia, Av. Catalunya 21, 46020, València, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Sabrina Llop
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de Valencia, Av. Catalunya 21, 46020, València, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Juana María Delgado-Saborit
- Department of Medicine, Faculty of Health Sciences. Universitat Jaume I, Avenida de Vicent Sos Baynat s/n, 12071, Castellón de la Plana, Spain; Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de Valencia, Av. Catalunya 21, 46020, València, Spain.
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16
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Krut' VG, Kalinichenko AL, Maltsev DI, Jappy D, Shevchenko EK, Podgorny OV, Belousov VV. Optogenetic and chemogenetic approaches for modeling neurological disorders in vivo. Prog Neurobiol 2024; 235:102600. [PMID: 38548126 DOI: 10.1016/j.pneurobio.2024.102600] [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: 08/15/2023] [Revised: 02/26/2024] [Accepted: 03/22/2024] [Indexed: 04/01/2024]
Abstract
Animal models of human neurological disorders provide valuable experimental tools which enable us to study various aspects of disorder pathogeneses, ranging from structural abnormalities and disrupted metabolism and signaling to motor and mental deficits, and allow us to test novel therapies in preclinical studies. To be valid, these animal models should recapitulate complex pathological features at the molecular, cellular, tissue, and behavioral levels as closely as possible to those observed in human subjects. Pathological states resembling known human neurological disorders can be induced in animal species by toxins, genetic factors, lesioning, or exposure to extreme conditions. In recent years, novel animal models recapitulating neuropathologies in humans have been introduced. These animal models are based on synthetic biology approaches: opto- and chemogenetics. In this paper, we review recent opto- and chemogenetics-based animal models of human neurological disorders. These models allow for the creation of pathological states by disrupting specific processes at the cellular level. The artificial pathological states mimic a range of human neurological disorders, such as aging-related dementia, Alzheimer's and Parkinson's diseases, amyotrophic lateral sclerosis, epilepsy, and ataxias. Opto- and chemogenetics provide new opportunities unavailable with other animal models of human neurological disorders. These techniques enable researchers to induce neuropathological states varying in severity and ranging from acute to chronic. We also discuss future directions for the development and application of synthetic biology approaches for modeling neurological disorders.
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Affiliation(s)
- Viktoriya G Krut'
- Pirogov Russian National Research Medical University, Moscow 117997, Russia; Federal Center of Brain Research and Neurotechnologies, Federal Medical Biological Agency, Moscow 117997, Russia
| | - Andrei L Kalinichenko
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia
| | - Dmitry I Maltsev
- Pirogov Russian National Research Medical University, Moscow 117997, Russia; Federal Center of Brain Research and Neurotechnologies, Federal Medical Biological Agency, Moscow 117997, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia
| | - David Jappy
- Federal Center of Brain Research and Neurotechnologies, Federal Medical Biological Agency, Moscow 117997, Russia
| | - Evgeny K Shevchenko
- Federal Center of Brain Research and Neurotechnologies, Federal Medical Biological Agency, Moscow 117997, Russia
| | - Oleg V Podgorny
- Pirogov Russian National Research Medical University, Moscow 117997, Russia; Federal Center of Brain Research and Neurotechnologies, Federal Medical Biological Agency, Moscow 117997, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia.
| | - Vsevolod V Belousov
- Pirogov Russian National Research Medical University, Moscow 117997, Russia; Federal Center of Brain Research and Neurotechnologies, Federal Medical Biological Agency, Moscow 117997, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia; Life Improvement by Future Technologies (LIFT) Center, Skolkovo, Moscow 143025, Russia.
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17
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García-Juan M, Ordóñez-Gutiérrez L, Wandosell F. Clearance of β-amyloid mediated by autophagy is enhanced by MTORC1 inhibition but not AMPK activation in APP/PSEN1 astrocytes. Glia 2024; 72:588-606. [PMID: 38009275 DOI: 10.1002/glia.24492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 11/07/2023] [Accepted: 11/13/2023] [Indexed: 11/28/2023]
Abstract
Proteostasis mechanisms mediated by macroautophagy/autophagy are altered in neurodegenerative diseases such as Alzheimer disease (AD) and their recovery/enhancement has been proposed as a therapeutic approach. From the two central nodes in the anabolism-catabolism balance, it is generally accepted that mechanistic target of rapamycin kinase complex 1 (MTORC1)_ activation leads to the inhibition of autophagy, whereas adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) has the opposite role. In AD, amyloid beta (Aβ) production disturbs the optimal neuronal/glial proteostasis. As astrocytes are essential for brain homeostasis, the purpose of this work was to analyze if the upregulation of autophagy in this cell type, either by MTORC1 inhibition or AMPK activation, could modulate the generation/degradation of β-amyloid. By using primary astrocytes from amyloid beta precursor protein (APP)/Presenilin 1 (PSEN1) mouse model of AD, we confirmed that MTORC1 inhibition reduced Aβ secretion through moderate autophagy induction. Surprisingly, pharmacologically increased activity of AMPK did not enhance autophagy but had different effects on Aβ secretion. Conversely, AMPK inhibition did not affect autophagy but reduced Aβ secretion. These puzzling data were confirmed through the overexpression of different mutant AMPK isoforms: while only the constitutively active AMPK increased autophagy, all versions augmented Aβ secretion. We conclude that AMPK has a significantly different role in primary astrocytes than in other reported cells, similar to our previous findings in neurons. Our data support that perhaps only a basal AMPK activity is needed to maintain autophagy whereas the increased activity, either physiologically or pharmacologically, has no direct effect on autophagy-dependent amyloidosis. These results shed light on the controversy about the therapeutic effect of AMPK activation on autophagy induction.
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Affiliation(s)
- Marta García-Juan
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Nicolas Cabrera 1, Universidad Autónoma de Madrid, Madrid, Spain
| | - Lara Ordóñez-Gutiérrez
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Nicolas Cabrera 1, Universidad Autónoma de Madrid, Madrid, Spain
- Departamento de Bioquímica ry Biología Molecular, Universidad Complutense de Madrid, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Francisco Wandosell
- Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Nicolas Cabrera 1, Universidad Autónoma de Madrid, Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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Jalasto J, Luukkonen R, Lindqvist A, Langhammer A, Kankaanranta H, Backman H, Rönmark E, Sovijärvi A, Piirilä P, Kauppi P. Occupational exposure to vapors, gasses, dusts, and fumes in relation to causes of death during 24 years in Helsinki, Finland. Int Arch Occup Environ Health 2024; 97:145-154. [PMID: 38112780 PMCID: PMC10876715 DOI: 10.1007/s00420-023-02031-1] [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: 09/23/2023] [Accepted: 11/16/2023] [Indexed: 12/21/2023]
Abstract
PURPOSE Environmental particulate matter (PM) exposure has been shown to cause excess all-cause and disease-specific mortality. Our aim was to compare disease-specific mortality by estimated occupational exposure to vapors, gasses, dusts, and fumes (VGDF). METHODS The data source is the Helsinki part of the population-based FinEsS study on chronic obstructive pulmonary diseases including information on age, education level, main occupation, sex, and tobacco smoking combined with death registry information. We compared estimated VGDF exposure to mortality using adjusted competing-risks regression for disease-specific survival analysis for a 24-year follow-up. RESULTS Compared to the no-exposure group, the high occupational VGDF exposure group had sub-hazard ratios (sHR) of 1.7 (95% CI 1.3-2.2) for all cardiovascular-related and sHR 2.1 (1.5-3.9) for just coronary artery-related mortality. It also had sHR 1.7 (1.0-2.8) for Alzheimer's or vascular dementia-related mortality and sHR 1.7(1.2-2.4) for all respiratory disease-related mortality. CONCLUSION Long-term occupational exposure to VGDF increased the hazard of mortality- to cardiovascular-, respiratory-, and dementia-related causes. This emphasizes the need for minimizing occupational long-term respiratory exposure to dust, gasses, and fumes.
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Affiliation(s)
- Juuso Jalasto
- Department of Clinical Physiology, HUS Medical Diagnostic Center, Helsinki University Central Hospital and University of Helsinki, PL 281, 00029 HUS, Helsinki, Finland.
| | | | - Ari Lindqvist
- Department of Pulmonary Medicine, Heart and Lung Center, Helsinki University Hospital and Helsinki University, Helsinki, Finland
| | - Arnulf Langhammer
- Department of Public Health and Nursing, HUNT Research Centre, NTNU, Norwegian University of Science and Technology, Levanger, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Hannu Kankaanranta
- Krefting Research Centre, Institute of Medicine, Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Gothenburg, Sweden
- Department of Respiratory Medicine, Seinäjoki Central Hospital, Seinäjoki, Finland
- Respiratory Research Group, Faculty of Medicine and Health Technology, Tampere University, Tampere University, Tampere, Finland
| | - Helena Backman
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, The OLIN Unit, Umeå University, Umeå, Sweden
| | - Eva Rönmark
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, The OLIN Unit, Umeå University, Umeå, Sweden
| | - Anssi Sovijärvi
- Department of Clinical Physiology, HUS Medical Diagnostic Center, Helsinki University Central Hospital and University of Helsinki, PL 281, 00029 HUS, Helsinki, Finland
| | - Päivi Piirilä
- Department of Clinical Physiology, HUS Medical Diagnostic Center, Helsinki University Central Hospital and University of Helsinki, PL 281, 00029 HUS, Helsinki, Finland
| | - Paula Kauppi
- Department of Pulmonary Medicine, Heart and Lung Center, Helsinki University Hospital and Helsinki University, Helsinki, Finland
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Cermelli A, Roveta F, Giorgis L, Boschi S, Grassini A, Ferrandes F, Lombardo C, Marcinnò A, Rubino E, Rainero I. Is headache a risk factor for dementia? A systematic review and meta-analysis. Neurol Sci 2024; 45:1017-1030. [PMID: 37721571 PMCID: PMC10858119 DOI: 10.1007/s10072-023-07069-0] [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: 04/11/2023] [Accepted: 09/09/2023] [Indexed: 09/19/2023]
Abstract
OBJECTIVE In this systematic review and meta-analysis, we critically evaluate available evidence regarding the association between primary headaches and subsequent decline of cognitive function and dementia. BACKGROUND Recent studies suggested that headache disorders may increase the risk for dementia. However, available studies are conflicting. METHODS To identify qualifying studies, we searched scientific databases, including Pubmed, Scopus, Web of Science, Science Direct and BMC, screening for relevant papers. In order to reduce the heterogeneity between different studies, the analyses were further subdivided according to the clinical diagnoses and the study methodologies. RESULTS We identified 23 studies investigating the association between primary headaches and the risk of dementia. Of these, 18 met our inclusion criteria for meta-analysis (covering 924.140 individuals). Overall effect-size shows that primary headaches were associated with a small increase in dementia risk (OR = 1,15; CI 95%: 1,03-1,28; p = 0,02). Analyzing subgroups, we found that migraine was associated with both a moderate increased risk of all-cause dementia (OR = 1,26; p = 0,00; 95% CI: 1,13-1,40) as well as a moderate increased risk of Alzheimer's disease (OR = 2,00; p = 0,00; 95% CI: 1,46-2,75). This association was significant in both case-control and retrospective cohort studies but not in prospective studies. CONCLUSIONS Our study supports the presence of a link between primary headaches and dementia. However, in the subgroup analysis, only patients with migraine showed a moderate increase risk for all-cause dementia and for Alzheimer's disease. Additional rigorous studies are needed to elucidate the possible role of primary headaches on the risk of developing cognitive impairment and dementia.
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Affiliation(s)
- Aurora Cermelli
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Fausto Roveta
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Lia Giorgis
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Silvia Boschi
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Alberto Grassini
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Fabio Ferrandes
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Chiara Lombardo
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Andrea Marcinnò
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
| | - Elisa Rubino
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy
- Department of Neuroscience and Mental Health, Città della Salute e della Scienza, Corso Bramante 88, Turin, Italy
| | - Innocenzo Rainero
- Headache Center, Department of Neuroscience, ''Rita Levi Montalcini'', University of Torino, Via Cherasco 15, 10126, Turin, Italy.
- Department of Neuroscience and Mental Health, Città della Salute e della Scienza, Corso Bramante 88, Turin, Italy.
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20
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Saltiel N, Tripodis Y, Menzin T, Olaniyan A, Baucom Z, Yhang E, Palmisano JN, Martin B, Uretsky M, Nair E, Abdolmohammadi B, Shah A, Nicks R, Nowinski C, Cantu RC, Daneshvar DH, Dwyer B, Katz DI, Stern RA, Alvarez V, Huber B, Boyle PA, Schneider JA, Mez J, McKee A, Alosco ML, Stein TD. Relative Contributions of Mixed Pathologies to Cognitive and Functional Symptoms in Brain Donors Exposed to Repetitive Head Impacts. Ann Neurol 2024; 95:314-324. [PMID: 37921042 PMCID: PMC10842014 DOI: 10.1002/ana.26823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 10/12/2023] [Accepted: 10/19/2023] [Indexed: 11/04/2023]
Abstract
OBJECTIVE Exposure to repetitive head impacts (RHI) is associated with later-life cognitive symptoms and neuropathologies, including chronic traumatic encephalopathy (CTE). Cognitive decline in community cohorts is often due to multiple pathologies; however, the frequency and contributions of these pathologies to cognitive impairment in people exposed to RHI are unknown. Here, we examined the relative contributions of 13 neuropathologies to cognitive symptoms and dementia in RHI-exposed brain donors. METHODS Neuropathologists examined brain tissue from 571 RHI-exposed donors and assessed for the presence of 13 neuropathologies, including CTE, Alzheimer disease (AD), Lewy body disease (LBD), and transactive response DNA-binding protein 43 (TDP-43) inclusions. Cognitive status was assessed by presence of dementia, Functional Activities Questionnaire, and Cognitive Difficulties Scale. Spearman rho was calculated to assess intercorrelation of pathologies. Additionally, frequencies of pathological co-occurrence were compared to a simulated distribution assuming no intercorrelation. Logistic and linear regressions tested associations between neuropathologies and dementia status and cognitive scale scores. RESULTS The sample age range was 18-97 years (median = 65.0, interquartile range = 46.0-76.0). Of the donors, 77.2% had at least one moderate-severe neurodegenerative or cerebrovascular pathology. Stage III-IV CTE was the most common neurodegenerative disease (43.1%), followed by TDP-43 pathology, AD, and hippocampal sclerosis. Neuropathologies were intercorrelated, and there were fewer unique combinations than expected if pathologies were independent (p < 0.001). The greatest contributors to dementia were AD, neocortical LBD, hippocampal sclerosis, cerebral amyloid angiopathy, and CTE. INTERPRETATION In this sample of RHI-exposed brain donors with wide-ranging ages, multiple neuropathologies were common and correlated. Mixed neuropathologies, including CTE, underlie cognitive impairment in contact sport athletes. ANN NEUROL 2024;95:314-324.
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Affiliation(s)
- Nicole Saltiel
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
| | - Yorghos Tripodis
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Talia Menzin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Aliyah Olaniyan
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Zach Baucom
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Eukyung Yhang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Joseph N. Palmisano
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Brett Martin
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Madeline Uretsky
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Evan Nair
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Bobak Abdolmohammadi
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Arsal Shah
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
| | - Raymond Nicks
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
| | | | - Robert C. Cantu
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Concussion Legacy Foundation, Boston, MA, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurosurgery, Emerson Hospital, Concord, MA, USA
| | - Daniel H. Daneshvar
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Brigid Dwyer
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Douglas I. Katz
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Robert A. Stern
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Department of Neurosurgery, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Victor Alvarez
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
- National Center for PTSD, VA Boston Healthcare System, Jamaica Plain, MA, USA
| | - Bertrand Huber
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- National Center for PTSD, VA Boston Healthcare System, Jamaica Plain, MA, USA
| | - Patricia A. Boyle
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Jesse Mez
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ann McKee
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Michael L. Alosco
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
| | - Thor D. Stein
- Boston University Alzheimer’s Disease Research Center and CTE Center, Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, MA, USA
- VA Bedford Healthcare System, U.S. Department of Veteran Affairs, Bedford, MA
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
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Bermejo-Pareja F, del Ser T. Controversial Past, Splendid Present, Unpredictable Future: A Brief Review of Alzheimer Disease History. J Clin Med 2024; 13:536. [PMID: 38256670 PMCID: PMC10816332 DOI: 10.3390/jcm13020536] [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: 10/12/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
Background: The concept of Alzheimer disease (AD)-since its histological discovery by Alzheimer to the present day-has undergone substantial modifications. Methods: We conducted a classical narrative review of this field with a bibliography selection (giving preference to Medline best match). Results: The following subjects are reviewed and discussed: Alzheimer's discovery, Kraepelin's creation of a new disease that was a rare condition until the 1970's, the growing interest and investment in AD as a major killer in a society with a large elderly population in the second half of the 20th century, the consolidation of the AD clinicopathological model, and the modern AD nosology based on the dominant amyloid hypothesis among many others. In the 21st century, the development of AD biomarkers has supported a novel biological definition of AD, although the proposed therapies have failed to cure this disease. The incidence of dementia/AD has shown a decrease in affluent countries (possibly due to control of risk factors), and mixed dementia has been established as the most frequent etiology in the oldest old. Conclusions: The current concept of AD lacks unanimity. Many hypotheses attempt to explain its complex physiopathology entwined with aging, and the dominant amyloid cascade has yielded poor therapeutic results. The reduction in the incidence of dementia/AD appears promising but it should be confirmed in the future. A reevaluation of the AD concept is also necessary.
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Affiliation(s)
- Félix Bermejo-Pareja
- CIBERNED, Institute of Health Carlos III, 28029 Madrid, Spain
- Institute of Research i+12, University Hospital “12 de Octubre”, 28041 Madrid, Spain
| | - Teodoro del Ser
- Alzheimer’s Centre Reina Sofia—CIEN Foundation, Institute of Health Carlos III, 28031 Madrid, Spain;
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22
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Zhou Z, Jiang WJ, Li L, Si JQ. The effects of noise exposure on hippocampal cognition in C57BL/6 mice via transcriptomics. Biochem Biophys Res Commun 2024; 690:149257. [PMID: 38016245 DOI: 10.1016/j.bbrc.2023.149257] [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: 07/13/2023] [Revised: 10/27/2023] [Accepted: 11/14/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND Noise is an important environmental stressor in the industrialized world and has received increasing attention in recent years. Although epidemiological research has extensively demonstrated the relationship between noise and cognitive impairment, the specific molecular mechanisms and targets remain to be fully explored and understood. METHODS To address this issue, 5-month-old C57BL/6 mice were divided into two groups, with one group exposed to white noise at 98 dB. The effects of noise on cognition in mice were investigated through molecular biology and behavioral experiments. Subsequently, transcriptomic sequencing of the hippocampus in both groups of mice was performed and enrichment analysis of differentially expressed genes (DEGs) was conducted using KEGG and GO databases. Furthermore, LASSO analysis was used to further narrow down the relevant DEGs, followed by enrichment analysis of these genes using KEGG and GO databases. The DEGs were further validated by rt-qPCR. RESULTS Following noise exposure, the hippocampus levels of inflammation-related factors increased, the phosphorylation of Tau protein increased, the postsynaptic density protein decreased, the number of Nissl bodies decreased, and cell shrinkage in the hippocampus increased. Moreover, the behavioral experiments manifest characteristics indicative of a decline in cognitive.A total of 472 DEGs were identified through transcriptomic analysis, and seven relevant genes were screened by the LASSO algorithm, which were further validated by PCR to confirm their consistency with the omics results. CONCLUSION In conclusion, noise exposure affects cognitive function in mice through multiple pathways, and the omics results provide new evidence for the cognitive impairment induced by noise exposure.
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Affiliation(s)
- Zan Zhou
- Department of Physiology, Medical College of Shihezi University, Shihezi, Xinjiang, 832000, China; Department of Physiology, Medical College of Jiaxing University, Jiaxing, Zhejiang, 314000, China; The Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Medical College of Shihezi University, Shihezi, 832000, Xinjiang, China
| | - Wen-Jun Jiang
- Department of Physiology, Medical College of Jiaxing University, Jiaxing, Zhejiang, 314000, China; Department of Physiology, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310051, China
| | - Li Li
- Department of Physiology, Medical College of Jiaxing University, Jiaxing, Zhejiang, 314000, China.
| | - Jun-Qiang Si
- Department of Physiology, Medical College of Shihezi University, Shihezi, Xinjiang, 832000, China; The Key Laboratory of Xinjiang Endemic and Ethnic Diseases, Medical College of Shihezi University, Shihezi, 832000, Xinjiang, China.
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23
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Albarraq RH, Alhujaili NA, Alshehri ZI, Alqarni AM, Bawareth RM. Anticipated Stigma among Patients with Multiple Sclerosis in Saudi Arabia. SAUDI JOURNAL OF MEDICINE & MEDICAL SCIENCES 2024; 12:54-59. [PMID: 38362097 PMCID: PMC10866384 DOI: 10.4103/sjmms.sjmms_21_23] [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: 01/15/2023] [Revised: 05/06/2023] [Accepted: 08/09/2023] [Indexed: 02/17/2024]
Abstract
Background Social stigma is a major problem among patients with multiple sclerosis (MS), which can affect their quality of life. There is limited research from Saudi Arabia on the anticipated stigma among patients with MS. Objectives To determine the levels of anticipated stigma and its predictors in patients with MS in Saudi Arabia. Methods This cross-sectional study included adult patients with MS across Saudi Arabia. Sociodemographic and medical information, including age, gender, marital status, educational level, duration of disease, number of MS episodes in the past 12 months, previous diagnosis of mental illness, and performing activities of daily living without assistance, were collected. Anticipated stigma was measured using an Arabic version of the Chronic Illness Anticipated Stigma Scale. Results A total of 222 patients with MS were included. Moderate to severe anticipated stigma was found among 70.4% of the patients. The highest anticipated stigma mean score was from work colleagues (2.96/5). Predictors of stigma were age (P = 0.049), gender (P = 0.016), marital status (P = 0.015), education level (P = 0.003), number of MS episodes in the previous year (P < 0.001), and previous diagnosis of a mental disorder (P = 0.001). Conclusions The findings of this study indicate the need for developing programs that reduce the anticipated stigma among patients with MS in Saudi Arabia.
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Affiliation(s)
| | - Naseem Abdulmohi Alhujaili
- Department of Medicine, Division of Psychiatry, Faculty of Medicine in Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia
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24
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Huang L, Ma J, Jiang F, Zhang S, Lan Y, Zhang Y. Relationship Between Work-Related Noise Exposure and Cognitive Impairment: A Cross-Sectional Study in China. J Alzheimers Dis 2024; 100:151-161. [PMID: 38848172 DOI: 10.3233/jad-240061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
Background Noise exposure and the risk of cognitive impairment are currently major public health issues. Objective This study aimed to analyze the relationship between noise exposure and early impairment of cognitive function from the perspective of occupational epidemiology and to provide evidence for the long-term prevention and treatment of dementia in the context of aging. Methods This study was conducted in China between May and August 2021. The independent variables were the type of hazardous factors, duration of noise exposure, perceived noise intensity, and cumulative noise exposure (CNE). The dependent variable was cognitive function, which was measured using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Multiple linear and logistic regression were used to analyze the relationship between noise exposure and cognitive function and to establish an effect curve. Results The detection rates of cognitive dysfunction using the MMSE and MoCA were 1.1% and 36.2%, respectively. The predicted MMSE and MoCA scores showed a downward trend within the CNE value ranging from 90-140 dB.time. Each unit increase in CNE decreased cognitive function scores by 0.025 (0.037, 0.013) and 0.020 (0.037, 0.003) points,respectively. Conclusions From the perspective of occupational epidemiology, these findings reveal a potential link between long-term noise exposure and early cognitive impairment.
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Affiliation(s)
- Lei Huang
- Department of Postgraduate Students, West China Hospital and West China School of Medicine, Sichuan University, Chengdu, China
| | - Jingxuan Ma
- Department of Environmental Health and Occupational Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Fugui Jiang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China
| | - Shushan Zhang
- Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yajia Lan
- Department of Environmental Health and Occupational Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yang Zhang
- Department of Periodical Press and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China
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25
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Dawson WD, Booi L, Pintado-Caipa M, Okada de Oliveira M, Kornhuber A, Spoden N, Golonka O, Shallcross L, Davidziuk A, Cominetti MR, Vergara-Manríquez M, Kochhann R, Robertson I, Eyre HA, Ibáñez A. The Brain Health Diplomat's Toolkit: supporting brain health diplomacy leaders in Latin America and the Caribbean. LANCET REGIONAL HEALTH. AMERICAS 2023; 28:100627. [PMID: 38046464 PMCID: PMC10689283 DOI: 10.1016/j.lana.2023.100627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 10/25/2023] [Accepted: 10/25/2023] [Indexed: 12/05/2023]
Abstract
Maintaining and improving brain health, one of the most critical global challenges of this century, necessitates innovative, interdisciplinary, and collaborative strategies to address the growing challenges in Latin America and the Caribbean. This paper introduces Brain Health Diplomacy (BHD) as a pioneering approach to bridge disciplinary and geographic boundaries and mobilize resources to promote equitable brain health outcomes in the region. Our framework provides a toolkit for emerging brain health leaders, equipping them with essential concepts and practical resources to apply in their professional work and collaborations. By providing case studies, we highlight the importance of culturally sensitive, region-specific interventions to address unique needs of vulnerable populations. By encouraging dialogue, ideation, and cross-sector discussions, we aspire to develop new research, policy, and programmatic avenues. The novel BHD approach has the potential to revolutionize brain health across the region and beyond, ultimately contributing to a more equitable global cognitive health landscape.
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Affiliation(s)
- Walter D. Dawson
- Global Brain Health Institute at University of California, San Francisco (UCSF), GBHI Memory and Aging Center, MC: 1207 1651 4th St, 3rd Floor, San Francisco, CA 94143, USA and Trinity College Dublin, Room 0.60, Lloyd Building, Dublin 2, Ireland
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
- Layton Aging & Alzheimer's Disease Research Center, Department of Neurology, School of Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, CR131, Portland, OR, 97239, USA
- Institute on Aging, Portland State University, 1825 SW Broadway, Portland, OR, 97201, USA
| | - Laura Booi
- Global Brain Health Institute at University of California, San Francisco (UCSF), GBHI Memory and Aging Center, MC: 1207 1651 4th St, 3rd Floor, San Francisco, CA 94143, USA and Trinity College Dublin, Room 0.60, Lloyd Building, Dublin 2, Ireland
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
- Centre for Dementia Research, School of Health, Leeds Beckett University, City Campus, Leeds, LS1 3HE, United Kingdom
| | - Maritza Pintado-Caipa
- Global Brain Health Institute at University of California, San Francisco (UCSF), GBHI Memory and Aging Center, MC: 1207 1651 4th St, 3rd Floor, San Francisco, CA 94143, USA and Trinity College Dublin, Room 0.60, Lloyd Building, Dublin 2, Ireland
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
- Department of Neurology, Peruvian Institute of Neurosciences, Bartolomé Herrera 161, Lince, 15046, Lima, Peru
| | - Maira Okada de Oliveira
- Global Brain Health Institute at University of California, San Francisco (UCSF), GBHI Memory and Aging Center, MC: 1207 1651 4th St, 3rd Floor, San Francisco, CA 94143, USA and Trinity College Dublin, Room 0.60, Lloyd Building, Dublin 2, Ireland
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
- Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
- Cognitive Neurology and Behavioral Unit (GNCC), University of São Paulo, Butanta, São Paulo, Brazil
| | - Alex Kornhuber
- Global Brain Health Institute at University of California, San Francisco (UCSF), GBHI Memory and Aging Center, MC: 1207 1651 4th St, 3rd Floor, San Francisco, CA 94143, USA and Trinity College Dublin, Room 0.60, Lloyd Building, Dublin 2, Ireland
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
| | - Natasha Spoden
- Layton Aging & Alzheimer's Disease Research Center, Department of Neurology, School of Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, CR131, Portland, OR, 97239, USA
| | - Ona Golonka
- Layton Aging & Alzheimer's Disease Research Center, Department of Neurology, School of Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, CR131, Portland, OR, 97239, USA
| | - Lenny Shallcross
- World Dementia Council, World Dementia Council Executive Team, Floor 2, 33 Cavendish Square, London, W1G 0PW, United Kingdom
| | - Alejandra Davidziuk
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
| | - Márcia Regina Cominetti
- Global Brain Health Institute at University of California, San Francisco (UCSF), GBHI Memory and Aging Center, MC: 1207 1651 4th St, 3rd Floor, San Francisco, CA 94143, USA and Trinity College Dublin, Room 0.60, Lloyd Building, Dublin 2, Ireland
- Federal University of Sao Carlos, Rod. Washington Luís, Km 235, Monjolinho, São Carlos, SP, CEP 13565-905, Brazil
| | - Mayte Vergara-Manríquez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
- University of Udine, Via Monsignor Pasquale Margreth, 3, 33100, Udine UD, Italy
- Center of Social and Cognitive Neuroscience (CSCN), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
| | - Renata Kochhann
- Research Projects Office, Hospital Moinhos de Vento, Ramiro Barcelos 610, Porto Alegre, RS, 90035-000, Brazil
| | - Ian Robertson
- Global Brain Health Institute at University of California, San Francisco (UCSF), GBHI Memory and Aging Center, MC: 1207 1651 4th St, 3rd Floor, San Francisco, CA 94143, USA and Trinity College Dublin, Room 0.60, Lloyd Building, Dublin 2, Ireland
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
| | - Harris A. Eyre
- Global Brain Health Institute at University of California, San Francisco (UCSF), GBHI Memory and Aging Center, MC: 1207 1651 4th St, 3rd Floor, San Francisco, CA 94143, USA and Trinity College Dublin, Room 0.60, Lloyd Building, Dublin 2, Ireland
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
- Baker Center for Public Policy, Rice University, 6100 Main St, Houston, TX, 77005, USA
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Health and Education Research Building (HERB) at Barwon Health Deakin University School of Medicine, PO Box 281, Geelong, Victoria, 3220, Australia
- Euro-Mediterranean Economists Association, C/ de St. Antoni Maria Claret, 167, 08025, Barcelona, Spain
- Meadows Mental Health Policy Institute, 2800 Swiss Ave, Dallas, TX, 75204, USA
- Department of Psychiatry, Baylor College of Medicine, 1977 Butler Blvd Suite E4.400, Houston, TX, 77030, USA
| | - Agustin Ibáñez
- Global Brain Health Institute at University of California, San Francisco (UCSF), GBHI Memory and Aging Center, MC: 1207 1651 4th St, 3rd Floor, San Francisco, CA 94143, USA and Trinity College Dublin, Room 0.60, Lloyd Building, Dublin 2, Ireland
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Diagonal las Torres 2640, Peñalolén, RM, 7941169, Chile
- Universidad San Andres, Vito Dumas 284, B1644BID, Victoria, Buenos Aires, Argentina
- National Scientific and Technical Research Council (CONICET), Godoy Cruz 2290 (C1425FQB), Buenos Aires, Argentina
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Kapuganti RS, Alone DP. Current understanding of genetics and epigenetics in pseudoexfoliation syndrome and glaucoma. Mol Aspects Med 2023; 94:101214. [PMID: 37729850 DOI: 10.1016/j.mam.2023.101214] [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: 06/30/2023] [Revised: 09/08/2023] [Accepted: 09/13/2023] [Indexed: 09/22/2023]
Abstract
Pseudoexfoliation is a complex, progressive, and systemic age-related disorder. The early stage of deposition of extracellular fibrillar material on ocular and extraocular tissues is termed as pseudoexfoliation syndrome (PEXS). The severe advanced stage is known as pseudoexfoliation glaucoma (PEXG), which involves increased intraocular pressure and optic nerve damage. Through genome-wide association and candidate gene studies, PEX has been associated with numerous genetic risk variants in various gene loci. However, the genetic basis of the disease fails to explain certain features of PEX pathology, such as the progressive nature of the disease, asymmetric ocular manifestation, age-related onset, and only a subset of PEXS individuals developing PEXG. Increasing evidence shows an interplay of genetic and epigenetic factors in the pathology of complex, multifactorial diseases. In this review, we have discussed the genetic basis of the disease and the emerging contribution of epigenetic regulations in PEX pathogenesis, focusing on DNA methylation and non-coding RNAs. Aberrant methylation patterns, histone modifications, and post-transcriptional regulation by microRNAs lead to aberrant gene expression changes. We have reviewed these aberrant epigenetic changes in PEX pathology and their effect on molecular pathways associated with PEX. We have further discussed some possible genetic/epigenetic-based diagnoses and therapeutics for PEX. Although studies to understand the role of epigenetic regulations in PEX are just emerging, epigenetic modifications contribute significantly to PEX pathogenesis and may pave the way for better and targeted therapeutics.
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Affiliation(s)
- Ramani Shyam Kapuganti
- School of Biological Sciences, National Institute of Science Education and Research (NISER) Bhubaneswar, P.O. Bhimpur-Padanpur, Jatni, Khurda, Odisha, 752050, India; Homi Bhabha National Institute (HBNI), Training School Complex, Anushaktinagar, Mumbai, 400094, India
| | - Debasmita Pankaj Alone
- School of Biological Sciences, National Institute of Science Education and Research (NISER) Bhubaneswar, P.O. Bhimpur-Padanpur, Jatni, Khurda, Odisha, 752050, India; Homi Bhabha National Institute (HBNI), Training School Complex, Anushaktinagar, Mumbai, 400094, India.
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Firoozi A, Alizadeh A, Zarifkar A, Esmaeilpour T, Namavar MR, Alavi O, Dehghani F. Comparison of the efficacy of human umbilical cord mesenchymal stem cells conditioned medium and platelet-rich plasma on the hippocampus of STZ-induced rat model of Alzheimer's disease: A behavioral and stereological study. IBRO Neurosci Rep 2023; 15:209-217. [PMID: 37780033 PMCID: PMC10539893 DOI: 10.1016/j.ibneur.2023.09.006] [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: 06/25/2023] [Revised: 08/13/2023] [Accepted: 09/12/2023] [Indexed: 10/03/2023] Open
Abstract
Introduction Alzheimer's disease (AD) is accompanied by progressive cognitive disorders and memory loss. This study aims to determine the combined effects of conditioned medium of human umbilical cord mesenchymal stem cells (CM) and platelet-rich plasma (PRP) on AD model rats. Methods Forty-eight male Sprague Dawley rats were classified into 6 groups: Control, Sham, AD, and three treatment groups. AD was induced by streptozotocin(STZ; 3 mg/kg, intracerebroventricular (ICV)) and the treatment groups received injections of CM [(200 µl, intraperitoneally (i.p.), and/or PRP (100 µl, intravenously(i.v)] for 8 days. Behavioral tests (Morris water maze and novel objective recognition) were used to assess learning ability and memory. At the end of the behavioral tests, the rats were sacrificed and their brain was entirely removed, sectioned, and stained with cresyl violet. The hippocampus volume and number of neurons were evaluated by stereological techniques. Results In the AD group, the discrimination ratio, time spent in the target zone, volume of Cornu Ammonis1 (CA1) and Dentate Gyrus (DG), and the number of pyramidal and granular cells decreased significantly compared to the Sham group. The mentioned parameters increased in the CM and CM+PRP groups compared to the AD group (p < 0.01). PRP did not have any noticeable effect on the examined parameters. Conclusions CM may be beneficial in the treatment of AD as it led to better improvement in STZ-induced learning and memory impairments as well as the structure of the hippocampus.
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Affiliation(s)
- Amin Firoozi
- Department of Anatomy, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
- Histomorphometry & Stereology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Aliakbar Alizadeh
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Asadollah Zarifkar
- Neuroscience Research Center and Department of Physiology, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Tahereh Esmaeilpour
- Department of Anatomy, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammad Reza Namavar
- Department of Anatomy, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
- Histomorphometry & Stereology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
- Clinical Neurology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Omid Alavi
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Farzaneh Dehghani
- Department of Anatomy, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
- Histomorphometry & Stereology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
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Vitturi BK, Montecucco A, Rahmani A, Dini G, Durando P. Occupational risk factors for multiple sclerosis: a systematic review with meta-analysis. Front Public Health 2023; 11:1285103. [PMID: 38054069 PMCID: PMC10694508 DOI: 10.3389/fpubh.2023.1285103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/02/2023] [Indexed: 12/07/2023] Open
Abstract
Objective We decided to conduct the first systematic review with meta-analysis to provide the highest level of up-to-date evidence on the occupational risk factors for Multiple Sclerosis. Methods A systematic, comprehensive literature search was performed in four electronic academic databases. We included any case-control study that enrolled working-age subjects and compared the proportion of MS cases with controls who were not exposed to an occupational risk factor. The primary outcome was the occurrence of MS. The quality assessment was performed with the Critical Appraisal Checklist for Case Control Studies, developed, and validated by the Joanna Briggs Institute. All the selection process was also carried out by two independent and previously trained researchers. Results Overall, the total sample included 19,004 people with MS and 4,164,162 controls. Agricultural workers (OR = 1.44, 95% CI 1.13-1.83), offshore workers (OR = 3.56, 95% CI 2.74-4.61), and hairdressers (OR = 8.25, 95% CI 1.02-66.52) were associated with a higher probability of being diagnosed with MS. In parallel, workers exposed to toxic fumes from oil wells (OR = 16.80, 95% CI 8.33-33.90), low-frequency magnetic fields (OR = 1.71, 95% CI 1.03-2.72), and pesticides (OR = 3.17, 95% CI = 2.53-3.99) also had an increased likelihood of having MS. Conclusion Our study has the potential to influence more assertive public policies. Nevertheless, future studies on how the occupational setting may contribute to the incidence of MS are highly recommended. Systematic review registration The protocol was registered in the international prospective register of systematic reviews (PROSPERO- CRD42023443257).
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Affiliation(s)
| | - Alfredo Montecucco
- Department of Health Sciences, University of Genoa, Genoa, Italy
- Occupational Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Alborz Rahmani
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Guglielmo Dini
- Department of Health Sciences, University of Genoa, Genoa, Italy
- Occupational Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Paolo Durando
- Department of Health Sciences, University of Genoa, Genoa, Italy
- Occupational Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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Hewawasam C, Wickramasinghe A, Caldera MC, Dassanayake TL. Subclinical memory impairment in unaffected siblings of patients with dementia. Clin Neuropsychol 2023; 37:1669-1685. [PMID: 36866972 DOI: 10.1080/13854046.2023.2182832] [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: 08/07/2022] [Accepted: 02/15/2023] [Indexed: 03/04/2023]
Abstract
Objective: Family history of dementia is a known risk factor for dementia. The cognitive performance of unaffected siblings of dementia patients has been poorly studied. We aimed to determine whether clinically unaffected siblings of dementia patients have significant cognitive impairment compared to individuals who do not have first-degree relatives with dementia. Methods: We compared the cognitive performance of 67 patients with dementia (24 males; mean age 69.5), 90 healthy siblings of those patients (34 males; mean age 61.56) and 92 healthy adults (35 males; mean age 60.96) who have no first-degree relatives with dementia. We assessed learning and memory (Rey Auditory Verbal Learning Test (RAVLT)), short-term/working memory (Digit Span) executive functions (Stroop Test) and general intelligence (Raven Progressive Matrices). Test scores were compared among three groups, with regression-based adjustments for age, sex, and education. Results: As expected, the patients with dementia were impaired in all cognitive domains. In the Sibling Group, RAVLT total learning was significantly lower compared to controls (B = -3.192, p = .005). In a subgroup analysis, compared to controls, RAVLT delayed recall was poorer in the siblings of patients with early-onset (<65 years) dementia. No significant differences were observed in other cognitive domains. Conclusion: Clinically unaffected siblings of dementia patients seem to have a selective subclinical impairment in memory encoding. This impairment seems to be more prominent in siblings of patients with early-onset dementia who also have deficits in delayed recall. Future studies are needed to determine if the observed cognitive impairment deteriorates to dementia.
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Affiliation(s)
- Chandana Hewawasam
- Department of Physiology, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Saliyapura, Sri Lanka
| | - Anuprabha Wickramasinghe
- Department of Psychiatry, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Saliyapura, Sri Lanka
- Department of Psychiatry, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Manjula C Caldera
- Neurology Unit, Teaching Hospital Anuradhapura, Anuradhapura, Sri Lanka
| | - Tharaka L Dassanayake
- Department of Physiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
- School of Psychological Sciences, The University of Newcastle, Callaghan, NSW, Australia
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Li C, Gao D, Cai YS, Liang J, Wang Y, Pan Y, Zhang W, Zheng F, Xie W. Relationships of Residential Distance to Major Traffic Roads with Dementia Incidence and Brain Structure Measures: Mediation Role of Air Pollution. HEALTH DATA SCIENCE 2023; 3:0091. [PMID: 38487203 PMCID: PMC10880167 DOI: 10.34133/hds.0091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 09/24/2023] [Indexed: 03/17/2024]
Abstract
Background: Uncertainty exists regarding the operating pathways between near-roadway exposure and dementia incidence. We intend to examine relationships between proximity to major roadways with dementia incidence and brain MRI structure measures, and potential mediation roles of air and noise pollution. Methods: The cohort study was based on the UK Biobank. Baseline survey was conducted from 2006 to 2010, with linkage to electronic health records conducted for follow-up. Residential distance to major roadways was ascertained residential address postcode. A land use regression model was applied for estimating traffic-related air pollution at residence. Dementia incidence was ascertained using national administrative databases. Brain MRI measures were derived as image-derived phenotypes, including total brain, white matter, gray matter, and peripheral cortical gray matter. Results: We included 460,901 participants [mean (SD) age: 57.1 (8.1) years; men: 45.7%]. Compared with individuals living >1,000 m from major traffic roads, living ≤1,000 m was associated with a 13% to 14% higher dementia risk, accounting for 10% of dementia cases. Observed association between residential distance and dementia was substantially mediated by traffic-related air pollution, mainly nitrogen dioxide (proportion mediated: 63.6%; 95% CI, 27.0 to 89.2%) and PM2.5 (60.9%, 26.8 to 87.0%). The shorter residential distance was associated with smaller volumes of brain structures, which was also mediated by traffic-related air pollutants. No significant mediation role was observed of noise pollution. Conclusions: The shorter residential distance to major roads was associated with elevated dementia incidence and smaller brain structure volumes, which was mainly mediated by traffic-related air pollution.
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Affiliation(s)
- Chenglong Li
- Peking University Clinical Research Institute,
Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Darui Gao
- Peking University Clinical Research Institute,
Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yutong Samuel Cai
- Centre for Environmental Health and Sustainability,
University of Leicester, Leicester, UK
| | - Jie Liang
- School of Nursing, Peking Union Medical College,
Chinese Academy of Medical Sciences, Beijing, China
| | - Yongqian Wang
- Peking University Clinical Research Institute,
Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yang Pan
- School of Nursing, Peking Union Medical College,
Chinese Academy of Medical Sciences, Beijing, China
| | - Wenya Zhang
- School of Nursing, Peking Union Medical College,
Chinese Academy of Medical Sciences, Beijing, China
| | - Fanfan Zheng
- School of Nursing, Peking Union Medical College,
Chinese Academy of Medical Sciences, Beijing, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute,
Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
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Nikom D, Zheng S. Alternative splicing in neurodegenerative disease and the promise of RNA therapies. Nat Rev Neurosci 2023; 24:457-473. [PMID: 37336982 DOI: 10.1038/s41583-023-00717-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/02/2023] [Indexed: 06/21/2023]
Abstract
Alternative splicing generates a myriad of RNA products and protein isoforms of different functions from a single gene. Dysregulated alternative splicing has emerged as a new mechanism broadly implicated in the pathogenesis of neurodegenerative diseases such as Alzheimer disease, amyotrophic lateral sclerosis, frontotemporal dementia, Parkinson disease and repeat expansion diseases. Understanding the mechanisms and functional outcomes of abnormal splicing in neurological disorders is vital in developing effective therapies to treat mis-splicing pathology. In this Review, we discuss emerging research and evidence of the roles of alternative splicing defects in major neurodegenerative diseases and summarize the latest advances in RNA-based therapeutic strategies to target these disorders.
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Affiliation(s)
- David Nikom
- Neuroscience Graduate Program, University of California, Riverside, Riverside, CA, USA
- Center for RNA Biology and Medicine, University of California, Riverside, Riverside, CA, USA
| | - Sika Zheng
- Neuroscience Graduate Program, University of California, Riverside, Riverside, CA, USA.
- Center for RNA Biology and Medicine, University of California, Riverside, Riverside, CA, USA.
- Division of Biomedical Sciences, University of California, Riverside, Riverside, CA, USA.
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32
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Masoumi SJ, Haghani M, Mokkaram P, Firoozi D, Mortazavi SAR, Moradi Ardekani F, Torabi Ardakani A, Mortazavi SMJ. Family History of Alzheimer's Disease Increases the Risk of COVID-19 Positivity: A SUMS Employees Cohort-based Study. J Biomed Phys Eng 2023; 13:363-366. [PMID: 37609510 PMCID: PMC10440408 DOI: 10.31661/jbpe.v0i0.2104-1318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 05/16/2021] [Indexed: 08/24/2023]
Abstract
Background Substantial data indicate that genetic and environmental factors play a key role in determining the risk of Alzheimer's disease (AD). Moreover, it is known that having relatives with AD increases the risk of developing this disease. Objective This study is aimed at investigating whether having a family history of AD, may increase the risk of COVID-19 in a cohort-based study. Material and Methods Participants of this retrospective cohort study were previously enrolled in the SUMS Employees Cohort (SUMSEC). All participants including those whose SARS-CoV-2 infection was confirmed by positive PCR test and chest CT scan were requested to respond to interviewer-administered questionnaires. Moreover, AD was diagnosed via memory and thinking impairment, concentration problems, confusion with location, and problems in finishing daily tasks. Results The total numbers of female and male participants with a family history of AD were 463 and 222 individuals, respectively. When all types of family history of AD were considered, a 51.3% increase was found in the relative frequency of the participants with both family history of AD and confirmed COVID-19 compared with those only with a family history of AD. Conclusion Despite the limitations of our study, and from a broader perspective, our findings can further support the concept that AD risk haplotypes including APOE are linked to the same morbidities from cardiovascular disease and obesity that increase vulnerability to COVID-19. Given this consideration, millions of APOE ε4 carriers around the globe should be advised to take additional precautions to prevent life-threatening diseases such as COVID-19.
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Affiliation(s)
- Seyed Jalil Masoumi
- Nutrition Research Center, School of Nutrition and Food Sciences, Shiraz University of Medical Science, Shiraz, Iran
- Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
- Center for Cohort Study of SUMS Employees' Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Masoud Haghani
- Department of Radiology, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Pooneh Mokkaram
- Department of Biochemistry, Autophagy Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Donya Firoozi
- Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | | | - Fariba Moradi Ardekani
- Center for Cohort Study of SUMS Employees' Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Atefeh Torabi Ardakani
- Center for Cohort Study of SUMS Employees' Health, Shiraz University of Medical Sciences, Shiraz, Iran
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Hong J, Chun H. A prediction model for healthcare time-series data with a mixture of deep mixed effect models using Gaussian processes. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2023.104753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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34
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Mazzoleni E, Vinceti M, Costanzini S, Garuti C, Adani G, Vinceti G, Zamboni G, Tondelli M, Galli C, Salemme S, Teggi S, Chiari A, Filippini T. Outdoor artificial light at night and risk of early-onset dementia: A case-control study in the Modena population, Northern Italy. Heliyon 2023; 9:e17837. [PMID: 37455959 PMCID: PMC10339013 DOI: 10.1016/j.heliyon.2023.e17837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 05/15/2023] [Accepted: 06/28/2023] [Indexed: 07/18/2023] Open
Abstract
Background Dementia is a neurological syndrome characterized by severe cognitive impairment with functional impact on everyday life. It can be classified as young onset dementia (EOD) in case of symptom onset before 65, and late onset dementia (LOD). The purpose of this study is to assess the risk of dementia due to light pollution, and specifically outdoor artificial light at night (LAN). Methods Using a case-control design, we enrolled dementia patients newly-diagnosed in the province of Modena in the period 2017-2019 and a referent population from their caregivers. We geo-referenced the address of residence on the date of recruitment, provided it was stable for the previous five years. We assessed LAN exposure through 2015 nighttime luminance satellite images from the Visible Infrared Imaging Radiometer Suite (VIIRS). Using a logistic regression model adjusted for age, sex, and education, we calculated the risk of dementia associated with increasing LAN exposure, namely using <10 nW/cm2/sr as reference and considering ≥10-<40 nW/cm2/sr intermediate and ≥40 nW/cm2/sr high exposure, respectively We also implemented non-linear assessment using a spline regression model. Results We recruited 58 EOD cases, 34 LOD cases and 54 controls. Average LAN exposure levels overlapped for EOD cases and controls, while LOD cases showed higher levels. Compared with the lowest exposure, the risk of EOD associated with LAN was higher in the intermediate exposure (OR = 1.36, 95% CI 0.54-3.39), but not in the high exposure category (OR = 1.04, 95% CI 0.32-3.34). In contrast, the risk of LOD was positively associated with LAN exposure, with ORs of 2.58 (95% CI 0.26-25.97) and 3.50 (95% CI 0.32-38.87) in the intermediate and high exposure categories, respectively. The spline regression analysis showed substantial lack of association between LAN and EOD, while almost linear although highly imprecise association emerged for LOD. Conclusions Although the precision of the estimates was affected by the limited sample size and the study design did not allow us to exclude the presence of residual confounding, these results suggest a possible role of LAN in the etiology of dementia, particularly of its late-onset form.
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Affiliation(s)
- Elena Mazzoleni
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Marco Vinceti
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Sofia Costanzini
- DIEF Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Modena, Italy
| | - Caterina Garuti
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Department of Medical and Surgical Sciences for Mothers, Children and Adults, Post Graduate School of Pediatrics, University of Modena and Reggio Emilia, Modena, Italy
| | - Giorgia Adani
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Giulia Vinceti
- Department Center for Neurosciences and Neurotechnology, Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Neurology Unit, Modena Policlinico-University Hospital, Modena, Italy
| | - Giovanna Zamboni
- Department Center for Neurosciences and Neurotechnology, Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Neurology Unit, Modena Policlinico-University Hospital, Modena, Italy
| | - Manuela Tondelli
- Neurology Unit, Modena Policlinico-University Hospital, Modena, Italy
- Primary Care Department, Modena Local Health Authority, Modena, Italy
| | - Chiara Galli
- Neurology Unit, Modena Policlinico-University Hospital, Modena, Italy
- Primary Care Department, Modena Local Health Authority, Modena, Italy
- Department of Neuroscience, Psychology, Pharmacology and Child Health (NeuroFARBA), University of Florence, Florence, Italy
| | - Simone Salemme
- Department Center for Neurosciences and Neurotechnology, Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Neurology Unit, Modena Policlinico-University Hospital, Modena, Italy
| | - Sergio Teggi
- DIEF Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Modena, Italy
| | - Annalisa Chiari
- Neurology Unit, Modena Policlinico-University Hospital, Modena, Italy
| | - Tommaso Filippini
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- School of Public Health, University of California Berkeley, Berkeley, CA, USA
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Li Z, Liang D, Ebelt S, Gearing M, Kobor MS, Konwar C, Maclsaac JL, Dever K, Wingo A, Levey A, Lah JJ, Wingo T, Huels A. Differential DNA Methylation in the Brain as Potential Mediator of the Association between Traffic-related PM 2.5 and Neuropathology Markers of Alzheimer's Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.30.23292085. [PMID: 37425713 PMCID: PMC10327281 DOI: 10.1101/2023.06.30.23292085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
INTRODUCTION Growing evidence indicates fine particulate matter (PM2.5) as risk factor for Alzheimer's' disease (AD), but the underlying mechanisms have been insufficiently investigated. We hypothesized differential DNA methylation (DNAm) in brain tissue as potential mediator of this association. METHODS We assessed genome-wide DNAm (Illumina EPIC BeadChips) in prefrontal cortex tissue and three AD-related neuropathological markers (Braak stage, CERAD, ABC score) for 159 donors, and estimated donors' residential traffic-related PM2.5 exposure 1, 3 and 5 years prior to death. We used a combination of the Meet-in-the-Middle approach, high-dimensional mediation analysis, and causal mediation analysis to identify potential mediating CpGs. RESULTS PM2.5 was significantly associated with differential DNAm at cg25433380 and cg10495669. Twenty-six CpG sites were identified as mediators of the association between PM2.5 exposure and neuropathology markers, several located in genes related to neuroinflammation. DISCUSSION Our findings suggest differential DNAm related to neuroinflammation mediates the association between traffic-related PM2.5 and AD.
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Affiliation(s)
- Zhenjiang Li
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
| | - Stefanie Ebelt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
| | - Marla Gearing
- Department of Pathology and Laboratory Medicine, Emory University, 1364 Clifton Rd, Atlanta, GA 30322, USA
- Department of Neurology, Emory University School of Medicine, 12 Executive Park Dr NE, Atlanta, GA 30322, USA
| | - Michael S. Kobor
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, 938 W 28th Ave, Vancouver, BC V5Z 4H4, Canada
- Centre for Molecular Medicine and Therapeutics, 950 W 28th Ave, Vancouver, BC V6H 0B3, Canada
| | - Chaini Konwar
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, 938 W 28th Ave, Vancouver, BC V5Z 4H4, Canada
| | - Julie L Maclsaac
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, 938 W 28th Ave, Vancouver, BC V5Z 4H4, Canada
- Centre for Molecular Medicine and Therapeutics, 950 W 28th Ave, Vancouver, BC V6H 0B3, Canada
| | - Kristy Dever
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, BC V6H 3N1, Canada
- BC Children’s Hospital Research Institute, 938 W 28th Ave, Vancouver, BC V5Z 4H4, Canada
- Centre for Molecular Medicine and Therapeutics, 950 W 28th Ave, Vancouver, BC V6H 0B3, Canada
| | - Aliza Wingo
- Division of Mental Health, Atlanta VA Medical Center, 1670 Clairmont Rd, Decatur, GA 30033, USA
- Department of Psychiatry, Emory University School of Medicine, 12 Executive Park Dr NE #200, Atlanta, GA 30329, USA
| | - Allan Levey
- Department of Neurology, Emory University School of Medicine, 12 Executive Park Dr NE, Atlanta, GA 30322, USA
| | - James J. Lah
- Department of Neurology, Emory University School of Medicine, 12 Executive Park Dr NE, Atlanta, GA 30322, USA
| | - Thomas Wingo
- Department of Neurology, Emory University School of Medicine, 12 Executive Park Dr NE, Atlanta, GA 30322, USA
- Department of Human Genetics, Emory University, 615 Michael Street Suite 301, Atlanta, GA 30322, USA
| | - Anke Huels
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA 30322, USA
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Dakterzada F, Jové M, Cantero JL, Pamplona R, Piñoll-Ripoll G. Plasma and cerebrospinal fluid nonenzymatic protein damage is sustained in Alzheimer's disease. Redox Biol 2023; 64:102772. [PMID: 37339560 DOI: 10.1016/j.redox.2023.102772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/01/2023] [Accepted: 06/03/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Oxidative stress is considered to play an important role in the pathogenesis of Alzheimer's disease (AD). It has been observed that oxidative damage to specific protein targets affecting particular functional networks is one of the mechanisms by which oxidative stress contributes to neuronal failure and consequently loss of cognition and AD progression. Studies are lacking in which oxidative damage is measured at both systemic and central fluid levels and in the same cohort of patients. We aimed to determine the levels of both plasma and cerebrospinal fluid (CSF) nonenzymatic protein damage in patients in the continuum of AD and to evaluate the relation of this damage with clinical progression from mild cognitive impairment (MCI) to AD. METHODS Different markers of nonenzymatic post-translational protein modification, mostly from oxidative processes, were detected and quantified in plasma and CSF by isotope dilution gas chromatography‒mass spectrometry using selected ion monitoring (SIM-GC/MS) for 289 subjects: 103 AD, 92 MCI, and 94 control subjects. Characteristics of the study population such as age, sex, Mini-mental state examination, CSF AD biomarkers, and APOE ϵ4, were also considered. RESULTS Forty-seven (52.8%) MCI patients progressed to AD during follow-up (58 ± 12.5 months). After controlling for age, sex, and APOE ϵ4 allele, plasma and CSF concentrations of protein damage markers were not associated with either diagnosis of AD or MCI. The CSF levels of nonenzymatic protein damage markers were associated with none of the CSF AD biomarkers. In addition, neither in CSF nor in plasma were the levels of protein damage associated with the MCI to AD progression. CONCLUSION The lack of association between both CSF and plasma concentrations of nonenzymatic protein damage markers and AD diagnosis and progression suggests that oxidative damage in AD is a pathogenic mechanism specifically expressed at the cell-tissue level, not in extracellular fluids.
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Affiliation(s)
- Farida Dakterzada
- Cognitive Disorders Unit, Clinical Neuroscience Research, Hospital Universitari Santa Maria, IRBLleida, Lleida, Spain
| | - Mariona Jové
- Department of Experimental Medicine, University of Lleida, IRBLleida, Lleida, Spain
| | - José Luís Cantero
- Laboratory of Functional Neuroscience, Pablo de Olavide University, Seville, Spain; CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, Madrid, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, University of Lleida, IRBLleida, Lleida, Spain
| | - Gerard Piñoll-Ripoll
- Cognitive Disorders Unit, Clinical Neuroscience Research, Hospital Universitari Santa Maria, IRBLleida, Lleida, Spain.
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Dai J, Xu Y, Wang T, Zeng P. Exploring the relationship between socioeconomic deprivation index and Alzheimer's disease using summary-level data: From genetic correlation to causality. Prog Neuropsychopharmacol Biol Psychiatry 2023; 123:110700. [PMID: 36566903 DOI: 10.1016/j.pnpbp.2022.110700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 11/04/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
Patients with Alzheimer's disease (AD) are markedly increasing as population aging and no disease-modifying therapies are currently available for AD. Previous studies suggested a broad link between socioeconomic status and a variety of disorders, including mental illness and cognitive abilities. However, the association between socioeconomic deprivation and AD has been unknown. We here employed Townsend deprivation index (TDI) to explore such relation and found a positive genetic correlation (r̂g=0.211, P = 8.00 × 10-4) between the two traits with summary statistics data (N = 455,258 for TDI and N = 455,815 for AD). Then, we performed pleiotropy analysis at both variant and gene levels using a powerful method called PLACO and detected 87 distinct pleiotropic genes. Functional analysis demonstrated these genes were significantly enriched in pancreas, liver, heart, blood, brain, and muscle tissues. Using Mendelian randomization methods, we further found that one genetically predicted standard deviation elevation in TDI could lead to approximately 18.5% (95% confidence intervals 1.6- 38.2%, P = 0.031) increase of AD risk, and that the identified causal association was robust against used MR approaches, horizontal pleiotropy, and instrumental selection. Overall, this study provides deep insight into common genetic components underlying TDI and AD, and further reveals causal connection between them. It is also helpful to develop a more suitable plan for ameliorating inequities, hardship, and disadvantage, with the hope of improving health outcomes among economically disadvantaged people.
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Affiliation(s)
- Jing Dai
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Yue Xu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China; Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu 221004, China.
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Chadwick W, Maudsley S, Hull W, Havolli E, Boshoff E, Hill MDW, Goetghebeur PJD, Harrison DC, Nizami S, Bedford DC, Coope G, Real K, Thiemermann C, Maycox P, Carlton M, Cole SL. The oDGal Mouse: A Novel, Physiologically Relevant Rodent Model of Sporadic Alzheimer's Disease. Int J Mol Sci 2023; 24:ijms24086953. [PMID: 37108119 PMCID: PMC10138655 DOI: 10.3390/ijms24086953] [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: 03/03/2023] [Revised: 03/17/2023] [Accepted: 03/30/2023] [Indexed: 04/29/2023] Open
Abstract
Sporadic Alzheimer's disease (sAD) represents a serious and growing worldwide economic and healthcare burden. Almost 95% of current AD patients are associated with sAD as opposed to patients presenting with well-characterized genetic mutations that lead to AD predisposition, i.e., familial AD (fAD). Presently, the use of transgenic (Tg) animals overexpressing human versions of these causative fAD genes represents the dominant research model for AD therapeutic development. As significant differences in etiology exist between sAD and fAD, it is perhaps more appropriate to develop novel, more sAD-reminiscent experimental models that would expedite the discovery of effective therapies for the majority of AD patients. Here we present the oDGal mouse model, a novel model of sAD that displays a range of AD-like pathologies as well as multiple cognitive deficits reminiscent of AD symptomology. Hippocampal cognitive impairment and pathology were delayed with N-acetyl-cysteine (NaC) treatment, which strongly suggests that reactive oxygen species (ROS) are the drivers of downstream pathologies such as elevated amyloid beta and hyperphosphorylated tau. These features demonstrate a desired pathophenotype that distinguishes our model from current transgenic rodent AD models. A preclinical model that presents a phenotype of non-genetic AD-like pathologies and cognitive deficits would benefit the sAD field, particularly when translating therapeutics from the preclinical to the clinical phase.
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Affiliation(s)
- Wayne Chadwick
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | - Stuart Maudsley
- Receptor Biology Lab, University of Antwerp, 2000 Antwerp, Belgium
| | - William Hull
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Centre for Translational Medicine and Therapeutics, Queen Mary University of London, London E1 4NS, UK
| | - Enes Havolli
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | - Eugene Boshoff
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | - Mark D W Hill
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | | | - David C Harrison
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | - Sohaib Nizami
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | - David C Bedford
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | - Gareth Coope
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | - Katia Real
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | - Christoph Thiemermann
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Centre for Translational Medicine and Therapeutics, Queen Mary University of London, London E1 4NS, UK
| | - Peter Maycox
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | - Mark Carlton
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
| | - Sarah L Cole
- Takeda Cambridge, 418 Cambridge Science Park, Cambridge CB4 0PZ, UK
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Kallianpur KJ, Masaki KH, Chen R, Willcox BJ, Allsopp RC, Davy P, Dodge HH. Weak Social Networks in Late Life Predict Incident Alzheimer's Disease: The Kuakini Honolulu-Asia Aging Study. J Gerontol A Biol Sci Med Sci 2023; 78:663-672. [PMID: 36208464 PMCID: PMC10061568 DOI: 10.1093/gerona/glac215] [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: 03/15/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND We assessed 10-year longitudinal associations between late-life social networks and incidence of all-cause dementia (ACD), Alzheimer's disease (AD), and vascular dementia (VaD) in Japanese-American men. METHODS We prospectively analyzed, from baseline (1991-1993) through 1999-2000, 2636 initially nondemented Kuakini Honolulu-Asia Aging Study participants who remained dementia-free during the first 3 years of follow-up. Global cognition was evaluated by the Cognitive Abilities Screening Instrument (CASI); depressive symptoms by the 11-item Center for Epidemiologic Studies Depression (CES-D) Scale; and social networks by the Lubben Social Network Scale (LSNS). Median split of LSNS scores defined weak/strong social network groups. A panel of neurologists and geriatricians diagnosed and classified dementia; AD and VaD diagnoses comprised cases in which AD or VaD, respectively, were considered the primary cause of dementia. RESULTS Median (range) baseline age was 77 (71-93) years. Participants with weak (LSNS score ≤29) versus strong (>29) social networks had higher age-adjusted incidence (in person-years) of ACD (12.6 vs. 8.7; p = .014) and AD (6.7 vs. 4.0; p = .007) but not VaD (2.4 vs. 1.4; p = .15). Kaplan-Meier curves showed a lower likelihood of survival free of ACD (log-rank p < .0001) and AD (p = .0006) for men with weak networks. In Cox proportional hazards models adjusting for age, education, APOE ɛ4, prevalent stroke, depressive symptoms, and CASI score (all at baseline), weak networks predicted increased incidence of ACD (hazard ratio [HR] = 1.52, p = .009) and AD (HR = 1.67, p = .014) but not VaD (p > .2). CONCLUSION Weak social networks may heighten the risk of dementia and AD, underscoring the need to promote social connectedness in older adults.
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Affiliation(s)
- Kalpana J Kallianpur
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
- Department of Tropical Medicine, Medical Microbiology and Pharmacology, University of Hawaii, Honolulu, Hawaii, USA
| | - Kamal H Masaki
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
- Department of Geriatric Medicine, University of Hawaii, Honolulu, Hawaii, USA
| | - Randi Chen
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
| | - Bradley J Willcox
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
- Department of Geriatric Medicine, University of Hawaii, Honolulu, Hawaii, USA
| | - Richard C Allsopp
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
| | - Philip Davy
- Kuakini Center for Translational Research on Aging, Kuakini Medical Center, Honolulu, Hawaii, USA
| | - Hiroko H Dodge
- Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA
- Layton Aging and Alzheimer’s Disease Center, Oregon Health & Science University, Portland, Oregon, USA
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Zhang J, Wang X, Duan H, Chen C, Lu Z, Zhang D, Li S. The Association of Calcium Signaling Pathway Gene Variants, Bone Mineral Density and Mild Cognitive Impairment in Elderly People. Genes (Basel) 2023; 14:genes14040828. [PMID: 37107586 PMCID: PMC10137633 DOI: 10.3390/genes14040828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/22/2023] [Accepted: 03/28/2023] [Indexed: 04/29/2023] Open
Abstract
The association of calcium signaling pathway gene variants, bone mineral density (BMD) and mild cognitive impairment (MCI) is poorly understood so far. A total of 878 participants from Qingdao city were recruited in this study. According to the candidate gene selection method, 58 single nucleotide polymorphisms (SNPs) in eight calcium signaling genes were selected. The association between gene polymorphisms and MCI was revealed by using multiple genetic models. Polygenic risk scores (PRS) were used to summarize the effects of the whole gene. Logistic regression was used to analyze the association between each PRS and MCI. The multiplicative interaction term in the regression models was used to estimate the interaction effects between the PRS and BMD. We observed significant associations of rs6877893 (NR3C1), rs6448456 (CCKAR), and rs723672 (CACNA1C) polymorphisms with MCI. The PRSs of NR3C1 (OR = 4.012, 95% CI = 1.722-9.347, p < 0.001), PRKCA (OR = 1.414, 95% CI = 1.083-1.845, p = 0.011) and TRPM1 (OR = 3.253, 95% CI = 1.116-9.484, p = 0.031) were associated with an increased risk of developing MCI, and the PRS of total genes (OR = 0.330, 95% CI = 0.224-0.485, p < 0.001) was associated with a decreased risk of developing MCI. In interaction effect analysis, the interaction effect of PRKCA and BMD was significant. Genetic variations of the calcium signaling pathway were associated with MCI in older people. There was an interaction effect between PRKCA gene variants and BMD on MCI.
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Affiliation(s)
- Jiesong Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao 266012, China
| | - Xueyan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao 266012, China
| | - Haiping Duan
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China
| | - Chen Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao 266012, China
| | - Zhonghai Lu
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao 266012, China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao 266012, China
| | - Suyun Li
- Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao 266012, China
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Bhatnagar A, Krick K, Karisetty BC, Armour EM, Heller EA, Elefant F. Tip60's Novel RNA-Binding Function Modulates Alternative Splicing of Pre-mRNA Targets Implicated in Alzheimer's Disease. J Neurosci 2023; 43:2398-2423. [PMID: 36849418 PMCID: PMC10072303 DOI: 10.1523/jneurosci.2331-22.2023] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/08/2023] [Accepted: 02/13/2023] [Indexed: 03/01/2023] Open
Abstract
The severity of Alzheimer's disease (AD) progression involves a complex interplay of genetics, age, and environmental factors orchestrated by histone acetyltransferase (HAT)-mediated neuroepigenetic mechanisms. While disruption of Tip60 HAT action in neural gene control is implicated in AD, alternative mechanisms underlying Tip60 function remain unexplored. Here, we report a novel RNA binding function for Tip60 in addition to its HAT function. We show that Tip60 preferentially interacts with pre-mRNAs emanating from its chromatin neural gene targets in the Drosophila brain and this RNA binding function is conserved in human hippocampus and disrupted in Drosophila brains that model AD pathology and in AD patient hippocampus of either sex. Since RNA splicing occurs co-transcriptionally and alternative splicing (AS) defects are implicated in AD, we investigated whether Tip60-RNA targeting modulates splicing decisions and whether this function is altered in AD. Replicate multivariate analysis of transcript splicing (rMATS) analysis of RNA-Seq datasets from wild-type and AD fly brains revealed a multitude of mammalian-like AS defects. Strikingly, over half of these altered RNAs are identified as bona-fide Tip60-RNA targets that are enriched for in the AD-gene curated database, with some of these AS alterations prevented against by increasing Tip60 in the fly brain. Further, human orthologs of several Tip60-modulated splicing genes in Drosophila are well characterized aberrantly spliced genes in human AD brains, implicating disruption of Tip60's splicing function in AD pathogenesis. Our results support a novel RNA interaction and splicing regulatory function for Tip60 that may underly AS impairments that hallmark AD etiology.SIGNIFICANCE STATEMENT Alzheimer's disease (AD) has recently emerged as a hotbed for RNA alternative splicing (AS) defects that alter protein function in the brain yet causes remain unclear. Although recent findings suggest convergence of epigenetics with co-transcriptional AS, whether epigenetic dysregulation in AD pathology underlies AS defects remains unknown. Here, we identify a novel RNA interaction and splicing regulatory function for Tip60 histone acetyltransferase (HAT) that is disrupted in Drosophila brains modeling AD pathology and in human AD hippocampus. Importantly, mammalian orthologs of several Tip60-modulated splicing genes in Drosophila are well characterized aberrantly spliced genes in human AD brain. We propose that Tip60-mediated AS modulation is a conserved critical posttranscriptional step that may underlie AS defects now characterized as hallmarks of AD.
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Affiliation(s)
- Akanksha Bhatnagar
- Department of Biology, Drexel University, Philadelphia, Pennsylvania 19104
| | - Keegan Krick
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | | | - Ellen M Armour
- Department of Biology, Drexel University, Philadelphia, Pennsylvania 19104
| | - Elizabeth A Heller
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania 19104
| | - Felice Elefant
- Department of Biology, Drexel University, Philadelphia, Pennsylvania 19104
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Bukhbinder AS, Hinojosa M, Harris K, Li X, Farrell CM, Shyer M, Goodwin N, Anjum S, Hasan O, Cooper S, Sciba L, Vargas A, Hunter DH, Ortiz GJ, Chung K, Cui L, Zhang GQ, Fisher-Hoch SP, McCormick JB, Schulz PE. Population-Based Mini-Mental State Examination Norms in Adults of Mexican Heritage in the Cameron County Hispanic Cohort. J Alzheimers Dis 2023; 92:1323-1339. [PMID: 36872776 DOI: 10.3233/jad-220934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
BACKGROUND Accurately identifying cognitive changes in Mexican American (MA) adults using the Mini-Mental State Examination (MMSE) requires knowledge of population-based norms for the MMSE, a scale which has widespread use in research settings. OBJECTIVE To describe the distribution of MMSE scores in a large cohort of MA adults, assess the impact of MMSE requirements on their clinical trial eligibility, and explore which factors are most strongly associated with their MMSE scores. METHODS Visits between 2004-2021 in the Cameron County Hispanic Cohort were analyzed. Eligible participants were ≥18 years old and of Mexican descent. MMSE distributions before and after stratification by age and years of education (YOE) were assessed, as was the proportion of trial-aged (50-85- year-old) participants with MMSE <24, a minimum MMSE cutoff most frequently used in Alzheimer's disease (AD) clinical trials. As a secondary analysis, random forest models were constructed to estimate the relative association of the MMSE with potentially relevant variables. RESULTS The mean age of the sample set (n = 3,404) was 44.4 (SD, 16.0) years old and 64.5% female. Median MMSE was 28 (IQR, 28-29). The percentage of trial-aged participants (n = 1,267) with MMSE <24 was 18.6%; 54.3% among the subset with 0-4 YOE (n = 230). The five variables most associated with the MMSE in the study sample were education, age, exercise, C-reactive protein, and anxiety. CONCLUSION The minimum MMSE cutoffs in most phase III prodromal-to-mild AD trials would exclude a significant proportion of trial-aged participants in this MA cohort, including over half of those with 0-4 YOE.
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Affiliation(s)
- Avram S Bukhbinder
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.,Division of Pediatric Neurology, Massachusetts General Hospital, Boston, MA
| | - Miriam Hinojosa
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kristofer Harris
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Xiaojin Li
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Christine M Farrell
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Madison Shyer
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nathan Goodwin
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Sahar Anjum
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Omar Hasan
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan Cooper
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lois Sciba
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Amanda Vargas
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - David H Hunter
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Guadalupe J Ortiz
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Karen Chung
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Licong Cui
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Guo-Qiang Zhang
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.,School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan P Fisher-Hoch
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Brownsville, TX, USA
| | - Joseph B McCormick
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Brownsville, TX, USA
| | - Paul E Schulz
- Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
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Varghese N, Yadav R. The Quest for the Environment and Dietary Risk Factor for Alzheimer's and Parkinson's Disease: Time to Face the Truth! Ann Indian Acad Neurol 2023; 26:104-105. [PMID: 37179675 PMCID: PMC10171016 DOI: 10.4103/aian.aian_93_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 02/03/2023] [Indexed: 03/31/2023] Open
Affiliation(s)
- Nibu Varghese
- Department of Neurology, Aster MIMS, Kannur, Kerala, India
| | - Ravi Yadav
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka, India
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44
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Ranson JM, Bucholc M, Lyall D, Newby D, Winchester L, Oxtoby NP, Veldsman M, Rittman T, Marzi S, Skene N, Al Khleifat A, Foote IF, Orgeta V, Kormilitzin A, Lourida I, Llewellyn DJ. Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Inform 2023; 10:6. [PMID: 36829050 PMCID: PMC9958222 DOI: 10.1186/s40708-022-00183-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 12/26/2022] [Indexed: 02/26/2023] Open
Abstract
Progress in dementia research has been limited, with substantial gaps in our knowledge of targets for prevention, mechanisms for disease progression, and disease-modifying treatments. The growing availability of multimodal data sets opens possibilities for the application of machine learning and artificial intelligence (AI) to help answer key questions in the field. We provide an overview of the state of the science, highlighting current challenges and opportunities for utilisation of AI approaches to move the field forward in the areas of genetics, experimental medicine, drug discovery and trials optimisation, imaging, and prevention. Machine learning methods can enhance results of genetic studies, help determine biological effects and facilitate the identification of drug targets based on genetic and transcriptomic information. The use of unsupervised learning for understanding disease mechanisms for drug discovery is promising, while analysis of multimodal data sets to characterise and quantify disease severity and subtype are also beginning to contribute to optimisation of clinical trial recruitment. Data-driven experimental medicine is needed to analyse data across modalities and develop novel algorithms to translate insights from animal models to human disease biology. AI methods in neuroimaging outperform traditional approaches for diagnostic classification, and although challenges around validation and translation remain, there is optimism for their meaningful integration to clinical practice in the near future. AI-based models can also clarify our understanding of the causality and commonality of dementia risk factors, informing and improving risk prediction models along with the development of preventative interventions. The complexity and heterogeneity of dementia requires an alternative approach beyond traditional design and analytical approaches. Although not yet widely used in dementia research, machine learning and AI have the potential to unlock current challenges and advance precision dementia medicine.
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Affiliation(s)
- Janice M Ranson
- University of Exeter Medical School, College House, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK.
| | - Magda Bucholc
- Cognitive Analytics Research Lab, School of Computing, Engineering & Intelligent Systems, Ulster University, Derry, UK
| | - Donald Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Danielle Newby
- Department of Psychiatry, University of Oxford, Oxford, UK
| | | | - Neil P Oxtoby
- Department of Computer Science, UCL Centre for Medical Image Computing, University College London, London, UK
| | | | - Timothy Rittman
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Sarah Marzi
- UK Dementia Research Institute, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Nathan Skene
- UK Dementia Research Institute, Imperial College London, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Ahmad Al Khleifat
- Department of Basic and Clinical Neuroscience, King's College London, London, UK
| | | | - Vasiliki Orgeta
- Division of Psychiatry, University College London, London, UK
| | | | - Ilianna Lourida
- University of Exeter Medical School, College House, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK
| | - David J Llewellyn
- University of Exeter Medical School, College House, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK
- The Alan Turing Institute, London, UK
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45
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Early Prediction of Dementia Using Feature Extraction Battery (FEB) and Optimized Support Vector Machine (SVM) for Classification. Biomedicines 2023; 11:biomedicines11020439. [PMID: 36830975 PMCID: PMC9953011 DOI: 10.3390/biomedicines11020439] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Dementia is a cognitive disorder that mainly targets older adults. At present, dementia has no cure or prevention available. Scientists found that dementia symptoms might emerge as early as ten years before the onset of real disease. As a result, machine learning (ML) scientists developed various techniques for the early prediction of dementia using dementia symptoms. However, these methods have fundamental limitations, such as low accuracy and bias in machine learning (ML) models. To resolve the issue of bias in the proposed ML model, we deployed the adaptive synthetic sampling (ADASYN) technique, and to improve accuracy, we have proposed novel feature extraction techniques, namely, feature extraction battery (FEB) and optimized support vector machine (SVM) using radical basis function (rbf) for the classification of the disease. The hyperparameters of SVM are calibrated by employing the grid search approach. It is evident from the experimental results that the newly pr oposed model (FEB-SVM) improves the dementia prediction accuracy of the conventional SVM by 6%. The proposed model (FEB-SVM) obtained 98.28% accuracy on training data and a testing accuracy of 93.92%. Along with accuracy, the proposed model obtained a precision of 91.80%, recall of 86.59, F1-score of 89.12%, and Matthew's correlation coefficient (MCC) of 0.4987. Moreover, the newly proposed model (FEB-SVM) outperforms the 12 state-of-the-art ML models that the researchers have recently presented for dementia prediction.
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46
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Abstract
Dementias encompass a range of debilitating neurologic conditions. Here, we summarize the neuropathology of common forms of dementia, focusing on Alzheimer disease (AD) and related dementias. AD is part of a spectrum of neurodegenerative diseases that consists of various protein inclusions (ie, proteinopathies) but other brain abnormalities are also related to dementia. Beta-amyloid and tau aggregates are hallmarks of AD. Other tissue substrates include Lewy bodies, TDP-43 inclusions, vascular brain lesions, and mixed pathologies. This review highlights the complexity of neurodegenerative and other disease substrates and summarizes topography of these lesions and concepts of mixed brain pathologies, resistance, and resilience.
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Affiliation(s)
- Rupal I Mehta
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA; Department of Pathology, Rush University Medical Center, 1750 West Harrison Street, Chicago, IL 60612, USA.
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL 60612, USA; Department of Pathology, Rush University Medical Center, 1750 West Harrison Street, Chicago, IL 60612, USA; Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA
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47
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Li J, Qi L, Chen Y, Lv H, Bi H. Bioinformatics analysis of the potential mechanisms of Alzheimer's disease induced by exposure to combined triazine herbicides. Ann Hum Biol 2023; 50:442-451. [PMID: 37819172 DOI: 10.1080/03014460.2023.2259242] [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: 03/07/2023] [Accepted: 08/31/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND The development of Alzheimer's disease (AD) is promoted by a combination of genetic and environmental factors. Notably, combined exposure to triazine herbicides atrazine (ATR), simazine (SIM), and propazine (PRO) may promote the development of AD, but the mechanism is unknown. AIM To study the molecular mechanism of AD induced by triazine herbicides. METHODS Differentially expressed genes (DEGs) of AD patients and controls were identified. The intersectional targets of ATR, SIM, and PRO for possible associations with AD were screened through network pharmacology and used for gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) enrichment analysis. The binding potentials between the core targets and herbicides were validated by molecular docking and molecular dynamics. RESULTS A total of 1,062 DEGs were screened between the AD patients and controls, which identified 148 intersectional targets of herbicides causing AD that were screened by network pharmacology analysis. GO and KEGG enrichment analysis revealed that cell cycling and cellular senescence were important signalling pathways. Finally, the core targets EGFR, FN1, and TYMS were screened and validated by molecular docking and molecular dynamics. CONCLUSION Our results suggest that combined exposure to triazine herbicides might promote the development of AD, thereby providing new insights for the prevention of AD.
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Affiliation(s)
- Jianan Li
- Department of Occupational and Environmental Health, College of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Ling Qi
- Department of Occupational and Environmental Health, College of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Yuxin Chen
- Department of Occupational and Environmental Health, College of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Haoming Lv
- Department of Occupational and Environmental Health, College of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Haoran Bi
- Department of Biostatistics, College of Public Health, Xuzhou Medical University, Xuzhou, China
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48
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Rao RV, Subramaniam KG, Gregory J, Bredesen AL, Coward C, Okada S, Kelly L, Bredesen DE. Rationale for a Multi-Factorial Approach for the Reversal of Cognitive Decline in Alzheimer's Disease and MCI: A Review. Int J Mol Sci 2023; 24:ijms24021659. [PMID: 36675177 PMCID: PMC9865291 DOI: 10.3390/ijms24021659] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/03/2023] [Accepted: 01/09/2023] [Indexed: 01/18/2023] Open
Abstract
Alzheimer's disease (AD) is a multifactorial, progressive, neurodegenerative disease typically characterized by memory loss, personality changes, and a decline in overall cognitive function. Usually manifesting in individuals over the age of 60, this is the most prevalent type of dementia and remains the fifth leading cause of death among Americans aged 65 and older. While the development of effective treatment and prevention for AD is a major healthcare goal, unfortunately, therapeutic approaches to date have yet to find a treatment plan that produces long-term cognitive improvement. Drugs that may be able to slow down the progression rate of AD are being introduced to the market; however, there has been no previous solution for preventing or reversing the disease-associated cognitive decline. Recent studies have identified several factors that contribute to the progression and severity of the disease: diet, lifestyle, stress, sleep, nutrient deficiencies, mental health, socialization, and toxins. Thus, increasing evidence supports dietary and other lifestyle changes as potentially effective ways to prevent, slow, or reverse AD progression. Studies also have demonstrated that a personalized, multi-therapeutic approach is needed to improve metabolic abnormalities and AD-associated cognitive decline. These studies suggest the effects of abnormalities, such as insulin resistance, chronic inflammation, hypovitaminosis D, hormonal deficiencies, and hyperhomocysteinemia, in the AD process. Therefore a personalized, multi-therapeutic program based on an individual's genetics and biochemistry may be preferable over a single-drug/mono-therapeutic approach. This article reviews these multi-therapeutic strategies that identify and attenuate all the risk factors specific to each affected individual. This article systematically reviews studies that have incorporated multiple strategies that target numerous factors simultaneously to reverse or treat cognitive decline. We included high-quality clinical trials and observational studies that focused on the cognitive effects of programs comprising lifestyle, physical, and mental activity, as well as nutritional aspects. Articles from PubMed Central, Scopus, and Google Scholar databases were collected, and abstracts were reviewed for relevance to the subject matter. Epidemiological, pathological, toxicological, genetic, and biochemical studies have all concluded that AD represents a complex network insufficiency. The research studies explored in this manuscript confirm the need for a multifactorial approach to target the various risk factors of AD. A single-drug approach may delay the progression of memory loss but, to date, has not prevented or reversed it. Diet, physical activity, sleep, stress, and environment all contribute to the progression of the disease, and, therefore, a multi-factorial optimization of network support and function offers a rational therapeutic strategy. Thus, a multi-therapeutic program that simultaneously targets multiple factors underlying the AD network may be more effective than a mono-therapeutic approach.
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Affiliation(s)
- Rammohan V. Rao
- Apollo Health, Burlingame, CA 94011, USA
- Correspondence: (R.V.R.); (D.E.B.)
| | | | | | | | | | - Sho Okada
- Apollo Health, Burlingame, CA 94011, USA
| | | | - Dale E. Bredesen
- Apollo Health, Burlingame, CA 94011, USA
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90024, USA
- Correspondence: (R.V.R.); (D.E.B.)
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49
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Barber K, Mendonca P, Soliman KFA. The Neuroprotective Effects and Therapeutic Potential of the Chalcone Cardamonin for Alzheimer's Disease. Brain Sci 2023; 13:145. [PMID: 36672126 PMCID: PMC9856590 DOI: 10.3390/brainsci13010145] [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: 12/10/2022] [Revised: 01/10/2023] [Accepted: 01/12/2023] [Indexed: 01/19/2023] Open
Abstract
Neurodegenerative diseases (ND) include a wide range of conditions that result from progressive damage to the neurons. Alzheimer's disease (AD) is one of the most common NDs, and neuroinflammation and oxidative stress (OS) are the major factors in the development and progression of the disease. Many naturally occurring phytochemical compounds exhibit antioxidant and anti-inflammatory activities with potential neuroprotective effects. Several plant species, including Alpinia katsumadai and Alpinia conchigera, contain cardamonin (CD). CD (2',4'-dihydroxy-6'methoxychalcone) has many therapeutic properties, including anticancer, anti-inflammatory, antioxidant, antiviral, and antibiotic activities. CD is a potent compound that can reduce OS and modulate the inflammatory processes that play a significant part in developing neurodegenerative diseases. CD has been shown to modulate a variety of signaling molecules involved in the development and progression of ND, including transcription factors (NF-kB and STAT3), cytokines (TNF-α, IL-1, and IL-6), enzymes (COX-2, MMP-9, and ALDH1), and other proteins and genes (Bcl-2, XIAP, and cyclin D1). Additionally, CD effectively modulates miRNA levels and autophagy-related CD-protective mechanisms against neurodegeneration. In summary, this review provides mechanistic insights into CD's ability to modify multiple oxidative stress-antioxidant system pathways, Nrf2, and neuroinflammation. Additionally, it points to the possible therapeutic potential and preventive utilization of CD in neurodegenerative diseases, most specifically AD.
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Affiliation(s)
- Kimberly Barber
- Division of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Institute of Public Health, Florida A&M University, Tallahassee, FL 32307, USA
| | - Patricia Mendonca
- Department of Biology, College of Science and Technology, Florida A&M University, Tallahassee, FL 32307, USA
| | - Karam F. A. Soliman
- Division of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Institute of Public Health, Florida A&M University, Tallahassee, FL 32307, USA
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50
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Godina SL, Rosso AL, Hirsch JA, Besser LM, Lovasi GS, Donovan GH, Garg PK, Platt JM, Fitzpatrick AL, Lopez OL, Carlson MC, Michael YL. Neighborhood greenspace and cognition: The cardiovascular health study. Health Place 2023; 79:102960. [PMID: 36603455 PMCID: PMC9928891 DOI: 10.1016/j.healthplace.2022.102960] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 11/04/2022] [Accepted: 12/14/2022] [Indexed: 01/04/2023]
Abstract
OBJECTIVES We examined whether greenspace measures (overall percent greenspace and forest, and number of greenspace types) were associated with clinically adjudicated dementia status. METHODS In a sample of non-demented older adults (n = 2141, average age = 75.3 years) from the Cardiovascular Health and Cognition Study, Cox proportional hazard and logistic regression analyses were used to estimate associations of baseline greenspace with risks of incident dementia and MCI, respectively, while adjusting for demographics, co-morbidities, and other neighborhood factors. We derived quartiles of percent greenness (greenspace), forest (percent tree canopy cover), and tertiles of greenspace diversity (number of greenspace types) for 5-km radial buffers around participant's residences at study entry (1989-1990) from the 1992 National Land Cover Dataset. Dementia status and mild cognitive impairment (MCI) over 10 years was clinically adjudicated. RESULTS We observed no significant association between overall percent greenspace and risk of mild cognitive impairment or dementia and mostly null results for forest and greenspace diversity. Forest greenspace was associated with lower odds of MCI (OR quartile 4 versus 1: 0.54, 95% CI: 0.29-0.98) and greenspace diversity was associated with lower hazard of incident dementia (HR tertile 2 versus 1: 0.70, 95% CI = 0.50-0.99). DISCUSSION We found divergent results for different types of greenspace and mild cognitive impairment or dementia. Improved greenspace type and diversity measurement could better characterize the association between greenspace and cognition.
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Affiliation(s)
- Sara L Godina
- University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, 130 DeSoto Street, Pittsburgh, PA, 15261, USA.
| | - Andrea L Rosso
- University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, 130 DeSoto Street, Pittsburgh, PA, 15261, USA
| | - Jana A Hirsch
- Drexel University Dornsife School of Public Health, Urban Health Collaborative, 3600 Market Street, 7th Floor, Philadelphia, PA, 19104, USA
| | - Lilah M Besser
- Comprehensive Center for Brain Health, University of Miami Miller School of Medicine, 7700 W Camino Real, Suite 200, Boca Raton, FL, 33433, USA
| | - Gina S Lovasi
- Drexel University Dornsife School of Public Health, Urban Health Collaborative, 3600 Market Street, 7th Floor, Philadelphia, PA, 19104, USA
| | - Geoffrey H Donovan
- U.S. Department of Agriculture Forest Service, PNW Research Station, 620 SW Main, Suite 502, Portland, OR, 97205, USA
| | - Parveen K Garg
- University of Southern California Keck School of Medicine, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Jonathan M Platt
- The University of Iowa, College of Public Health, 145 N. Riverside Drive, Iowa City, IA, 52242, USA
| | - Annette L Fitzpatrick
- University of Washington School of Public Health, Department of Epidemiology, 3980 15th Avenue NE, Seattle, WA, 98195, USA
| | - Oscar L Lopez
- University of Pittsburgh School of Medicine, Department of Neurology, Kaufmann Medical Building, 3471 Fifth Avenue, Pittsburgh, PA, 15213, USA
| | - Michelle C Carlson
- Johns Hopkins Bloomberg School of Public Health, Department of Mental Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
| | - Yvonne L Michael
- Drexel University Dornsife School of Public Health, Urban Health Collaborative, 3600 Market Street, 7th Floor, Philadelphia, PA, 19104, USA
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