1
|
Levett BA, Chandra A, Jiang J, Koohi N, Sharrad D, Core LB, Johnson JCS, Tutton M, Green T, Jayakody DMP, Yu JT, Leroi I, Marshall CR, Bamiou DE, Hardy CJD, Warren JD. Hearing impairment and dementia: cause, catalyst or consequence? J Neurol 2025; 272:402. [PMID: 40377748 DOI: 10.1007/s00415-025-13140-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2025] [Revised: 04/29/2025] [Accepted: 04/30/2025] [Indexed: 05/18/2025]
Abstract
The relationship between hearing impairment and dementia has attracted significant attention, the 2024 Lancet Commission report identifying hearing loss as the largest modifiable risk factor for dementia from mid-life. The nature of this linkage between dementia and hearing remains unclear and is likely to be complex. In principle, hearing impairment could cause (directly promote), catalyze (amplify) or be a consequence of neurodegenerative pathology and cognitive decline. Here we use this framework to examine different lines of evidence for the association between hearing impairment and dementia, and consider how this evidence speaks to potential mechanisms and treatment implications. We conclude by considering practical clinical implications for management of patients with hearing impairment and dementia, the potential role for central hearing tests as 'auditory biomarkers' of dementia, and the need for further collaborative and mechanistically motivated research in this area.
Collapse
Affiliation(s)
- Benjamin A Levett
- Dementia Research Centre, UCL Institute of Neurology, Queen Square, UCL, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Avinash Chandra
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Jessica Jiang
- Dementia Research Centre, UCL Institute of Neurology, Queen Square, UCL, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Nehzat Koohi
- Department of Clinical and Movement Neurosciences, Institute of Neurology, UCL, 33 Queen Square, London, WC1N 3BG, UK
- The Ear Institute, UCL, 332 Grays Inn Rd, London, WC1X 8EE, UK
| | - Dale Sharrad
- National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
| | - Lucy B Core
- Dementia Research Centre, UCL Institute of Neurology, Queen Square, UCL, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Jeremy C S Johnson
- Dementia Research Centre, UCL Institute of Neurology, Queen Square, UCL, 8-11 Queen Square, London, WC1N 3AR, UK
- Basic and Clinical Neuroscience, King's College London, 5 Cutcombe Road, London, SE5 9RT, UK
| | | | - Tim Green
- Eargym Ltd, 63-66 Hatton Garden, London, EC1N 8LE, UK
- Speech, Hearing and Phonetic Sciences, UCL, Chandler House, 2 Wakefield Street, London, WC1N 1PF, UK
| | - Dona M P Jayakody
- University of Western Australia, 35 Stirling Hwy, Crawley, WA, 6009, Australia
| | - Jin-Tai Yu
- Huashan Hospital, Fudan University, 2 Wulumuqi Road, Shanghai, 200040, China
| | - Iracema Leroi
- Global Brain Health Institute, Trinity College Dublin, 42A Pearse Street, Dublin, D02 R123, Ireland
- University of Manchester, Oxford Road, Manchester, M13 9P, UK
| | - Charles R Marshall
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Doris-Eva Bamiou
- National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG, UK
- National Institute for Health and Care Research, UCLH/UCL Biomedical Research Centre (Hearing Theme), 149 Tottenham Court Road, London, W1T 7DN, UK
| | - Chris J D Hardy
- Dementia Research Centre, UCL Institute of Neurology, Queen Square, UCL, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Jason D Warren
- Dementia Research Centre, UCL Institute of Neurology, Queen Square, UCL, 8-11 Queen Square, London, WC1N 3AR, UK.
| |
Collapse
|
2
|
OuYang C, Shi H, Lin Z. Identification of Alzheimer's disease susceptibility genes by the integration of genomics and transcriptomics. Neurol Res 2025:1-13. [PMID: 40331660 DOI: 10.1080/01616412.2025.2499890] [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: 01/05/2025] [Accepted: 04/23/2025] [Indexed: 05/08/2025]
Abstract
BACKGROUND Alzheimer's disease (AD) is a progressive neurodegenerative disease. With the deepening of clinical and genomic research, a series of biomarkers and risk factors related to AD have been identified. However, the exact molecular mechanism of AD is not completely understood. METHODS By combining expression quantitative trait loci (eQTLs) analysis with the results of genome-wide association studies (GWAS), the candidate genes (CG) related to AD were screened out accurately. We identified that intersection genes of differentially expressed genes (DEGs) and CG are the key genes. Then, GO, KEGG, and GSEA were utilized for functional enrichment analysis. Finally, we predicted AD responses to immunotherapy by the single sample gene set enrichment analysis (ssGSEA). RESULTS A total of 253 DEGs were identified. The three key genes (VASP, SURF2, and TARBP1) were identified by taking the intersection of DEGs and CG. Through Mendelian randomization (MR) analysis, it was found that the risk of AD was significantly increased when VASP expression increased (OR = 0.1.046), while the risk of AD was significantly decreased when SURF2 (OR = 0.897) and TARBP1(OR = 0.920) expression increased. Subsequently, the functional analysis indicated that the core genes were mainly enriched in Leukocyte Transendothelial Migration, cGMP-PKG signaling pathway, and Rap1 signaling pathway. Through ssGSEA analysis showed that all three core genes were significantly related to M2 macrophages. CONCLUSIONS Three core genes were screened by integrating eQTLs data, GWAS data and transfer group data, and the potential mechanism of diagnosis and treatment of AD was revealed.
Collapse
Affiliation(s)
- Chenghong OuYang
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Hanping Shi
- School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Nanchang University, Nanchang, Jiangxi, China
| | - Zhiying Lin
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| |
Collapse
|
3
|
Zhang M, Ward J, Strawbridge RJ, Anderson JJ, Celis-Morales C, Pell JP, Ho FK, Lyall DM. Genetic predisposition to adiposity, and type 2 diabetes: the role of lifestyle and phenotypic adiposity. Eur J Endocrinol 2025; 192:549-557. [PMID: 40315335 PMCID: PMC12056655 DOI: 10.1093/ejendo/lvaf084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2025] [Revised: 04/14/2025] [Accepted: 04/23/2025] [Indexed: 05/04/2025]
Abstract
AIMS Genetic predisposition to adiposity is associated with type 2 diabetes (T2D), even in the absence of phenotypic adiposity (obesity and central obesity). We aimed to quantify the overall contribution of obesity and modifiable lifestyle factors to the association between genetic predisposition to adiposity and the development of T2D. METHODS This prospective cohort study involved 220 703 White British participants from the UK Biobank. It examined the associations between genetic predisposition to adiposity [body mass index polygenic risk (BMI-PRS) and waist-hip ratio polygenic risk (WHR-PRS)] and incident T2D, as well as interactions and mediation via lifestyle factors (diet quality, physical activity levels, total energy intake, sleep duration, and smoking and alcohol intake) and phenotypic adiposity. RESULTS People with high phenotypic adiposity and high adiposity PRS values (>1 SD above the mean) had the highest risk of incident T2D (versus non-obese/central obese and non-high PRS). This was the case for BMI-PRS [hazard ratio (HR) = 3.72] and WHR-PRS (HR = 4.17). Lifestyle factors explained 30.5% of the BMI-PRS/T2D association (2.0% mediation; 28.5% effect modification), and lifestyle and obesity together explained 92.1% (78.8% mediation; 13.3% effect modification). Lifestyle factors explained 20.4% of the WHR-PRS/T2D association (3.4% mediation; 17.0% effect modification), and lifestyle and central obesity together explained 72.8% (41.1% mediation; 31.7% effect modification). CONCLUSIONS Whilst phenotypic adiposity explains a large proportion of the association between BMI-PRS/WHR-PRS and T2D, modifiable lifestyle factors also make contributions. Promoting healthy lifestyles among people prone to adiposity is important in reducing the global burden of T2D.
Collapse
Affiliation(s)
- Mengrong Zhang
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, United Kingdom
| | - Joey Ward
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, United Kingdom
| | - Rona J Strawbridge
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, United Kingdom
- Department of Medicine Solna, Karolinska Institute, Stockholm 17177, Sweden
| | - Jana J Anderson
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, United Kingdom
| | - Carlos Celis-Morales
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, United Kingdom
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8TA, United Kingdom
- Human Performance Lab, Education, Physical Activity, and Health Research Unit, Universidad Católica del Maule, Talca 115 3745, Chile
- Centro de Investigación en Medicina de Altura (CEIMA), Universidad Arturo Prat, Iquique 1100012, Chile
| | - Jill P Pell
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, United Kingdom
| | - Frederick K Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, United Kingdom
| | - Donald M Lyall
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, United Kingdom
| |
Collapse
|
4
|
Shouman S, Hesham N, Salem TZ. Viruses and neurodegeneration: a growing concern. J Transl Med 2025; 23:46. [PMID: 39800721 PMCID: PMC11727702 DOI: 10.1186/s12967-024-06025-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2024] [Accepted: 12/23/2024] [Indexed: 01/16/2025] Open
Abstract
Neurodegenerative diseases (NDDs) cause a progressive loss of neurons. Since NDDs are multifactorial, the precise etiology varies on the basis of the type of disease and patient history. Cohort studies and case studies have demonstrated a potential link between viral infections and the onset or progression of NDDs. Recent findings concerning the mechanisms by which neuropathic infections occur have provided more insights into the importance of such connections. In this review, we aim to elaborate on the occurrence of the neuropathic effects of viruses from epidemiological, clinical, and biological perspectives while highlighting potential treatments and challenges. One of the key players in viral neuropathogenesis is neuroinflammation caused by the immune response to the virus; this can occur due to both neurotropic and nonneurotropic viruses. The COVID-19 pandemic has raised concerns about whether vaccines are essential for preventing viruses or whether vaccines may play a part in exacerbating or accelerating NDDs. By classifying viruses and the common NDDs associated with them and further delving into their cellular pathways, this review provides insights to advance the development of potential treatments and diagnostic methods.
Collapse
Affiliation(s)
- S Shouman
- Biomedical Sciences Program, UST, Zewail City of Science and Technology, October Gardens, 6th of October City, Giza, 12578, Egypt
| | - N Hesham
- Biomedical Sciences Program, UST, Zewail City of Science and Technology, October Gardens, 6th of October City, Giza, 12578, Egypt
- Molecular Biology and Virology Laboratory (MBVL), Center for X-Ray Determination of the Structure of Matter (CXDS), Zewail City of Science and Technology, October Gardens, 6th of October City, Giza, 12578, Egypt
| | - T Z Salem
- Biomedical Sciences Program, UST, Zewail City of Science and Technology, October Gardens, 6th of October City, Giza, 12578, Egypt.
- Molecular Biology and Virology Laboratory (MBVL), Center for X-Ray Determination of the Structure of Matter (CXDS), Zewail City of Science and Technology, October Gardens, 6th of October City, Giza, 12578, Egypt.
| |
Collapse
|
5
|
Roe JM, Vidal-Piñeiro D, Sørensen Ø, Grydeland H, Leonardsen EH, Iakunchykova O, Pan M, Mowinckel A, Strømstad M, Nawijn L, Milaneschi Y, Andersson M, Pudas S, Bråthen ACS, Kransberg J, Falch ES, Øverbye K, Kievit RA, Ebmeier KP, Lindenberger U, Ghisletta P, Demnitz N, Boraxbekk CJ, Drevon CA, Penninx B, Bertram L, Nyberg L, Walhovd KB, Fjell AM, Wang Y. Brain change trajectories in healthy adults correlate with Alzheimer's related genetic variation and memory decline across life. Nat Commun 2024; 15:10651. [PMID: 39690174 PMCID: PMC11652687 DOI: 10.1038/s41467-024-53548-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 10/16/2024] [Indexed: 12/19/2024] Open
Abstract
Throughout adulthood and ageing our brains undergo structural loss in an average pattern resembling faster atrophy in Alzheimer's disease (AD). Using a longitudinal adult lifespan sample (aged 30-89; 2-7 timepoints) and four polygenic scores for AD, we show that change in AD-sensitive brain features correlates with genetic AD-risk and memory decline in healthy adults. We first show genetic risk links with more brain loss than expected for age in early Braak regions, and find this extends beyond APOE genotype. Next, we run machine learning on AD-control data from the Alzheimer's Disease Neuroimaging Initiative using brain change trajectories conditioned on age, to identify AD-sensitive features and model their change in healthy adults. Genetic AD-risk linked with multivariate change across many AD-sensitive features, and we show most individuals over age ~50 are on an accelerated trajectory of brain loss in AD-sensitive regions. Finally, high genetic risk adults with elevated brain change showed more memory decline through adulthood, compared to high genetic risk adults with less brain change. Our findings suggest quantitative AD risk factors are detectable in healthy individuals, via a shared pattern of ageing- and AD-related neurodegeneration that occurs along a continuum and tracks memory decline through adulthood.
Collapse
Grants
- U01 AG024904 NIA NIH HHS
- The infrastructure for the NESDA study (www.nesda.nl) is funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development (ZonMw, grant number 10-000‐1002) and financial contributions by participating universities and mental health care organizations (VU University Medical Center, GGZ inGeest, Leiden University Medical Center, Leiden University, GGZ Rivierdu-inen, University Medical Center Groningen, University of Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Rob Giel Onderzoekscentrum).
- Scholar grant from Knut and Alice Wallenberg’s (KAW) foundation to L.N.
- European Research Council 313440 (to K.B.W.) Norwegian Research Council (to A.M.F. and K.B.W.) under grants 249931 (TOPPFORSK)
- European Research Council under grants 283634, 725025 (to A.M.F.) Norwegian Research Council (to A.M.F. and K.B.W.) under grants 249931 (TOPPFORSK) The National Association for Public Health’s dementia research program, Norway (to A.M.F)
- Norwegian Research Council grant 302854 (FRIPRO; to Y.W.)
Collapse
Affiliation(s)
- James M Roe
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway.
| | - Didac Vidal-Piñeiro
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Håkon Grydeland
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Esten H Leonardsen
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Olena Iakunchykova
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Mengyu Pan
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Athanasia Mowinckel
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Marie Strømstad
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Laura Nawijn
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry and Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Yuri Milaneschi
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry and Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Micael Andersson
- Department of Medical and Translational Biology, Umeå University, Umeå, Sweden
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Sara Pudas
- Department of Medical and Translational Biology, Umeå University, Umeå, Sweden
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Anne Cecilie Sjøli Bråthen
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Jonas Kransberg
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Emilie Sogn Falch
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Knut Øverbye
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| | - Rogier A Kievit
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Klaus P Ebmeier
- Department of Psychiatry and Wellcome Centre for Integrative Neuroimaging, University of Oxford, Warneford Hospital, Oxford, United Kingdom
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Naiara Demnitz
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Carl-Johan Boraxbekk
- Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Radiation Sciences, Diagnostic Radiology, and Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
- Institute of Sports Medicine Copenhagen (ISMC) and Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Christian A Drevon
- Department of Nutrition, Institute of Basic Medical Science, Faculty of Medicine, University of Oslo, Oslo, Norway
- Vitas Ltd, Oslo Science Park, Oslo, Norway
| | - Brenda Penninx
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry and Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
| | - Lars Nyberg
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
- Department of Medical and Translational Biology, Umeå University, Umeå, Sweden
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
- Department of Diagnostics and Intervention, Umeå University, Umeå, Sweden
- Department of Health, Education and Technology, Luleå University of Technology, Luleå, Sweden
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
- Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
- Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Yunpeng Wang
- Center for Lifespan Changes in Brain and Cognition (LCBC), Department of Psychology, University of Oslo, Oslo, Norway
| |
Collapse
|
6
|
Dai W, Zhang H. AN INTEGRATIVE NETWORK-BASED MEDIATION MODEL (NMM) TO ESTIMATE MULTIPLE GENETIC EFFECTS ON OUTCOMES MEDIATED BY FUNCTIONAL CONNECTIVITY. Ann Appl Stat 2024; 18:2277-2294. [PMID: 39640845 PMCID: PMC11616023 DOI: 10.1214/24-aoas1880] [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] [Indexed: 12/07/2024]
Abstract
Functional connectivity of the brain, characterized by interconnected neural circuits across functional networks, is a cutting-edge feature in neuroimaging. It has the potential to mediate the effect of genetic variants on behavioral outcomes or diseases. Existing mediation analysis methods can evaluate the impact of genetics and brain structurefunction on cognitive behavior or disorders, but they tend to be limited to single genetic variants or univariate mediators, without considering cumulative genetic effects and the complex matrix and group and network structures of functional connectivity. To address this gap, the paper presents an integrative network-based mediation model (NMM) that estimates the effect of multiple genetic variants on behavioral outcomes or diseases mediated by functional connectivity. The model incorporates group information of inter-regions at broad network level and imposes low-rank and sparse assumptions to reflect the complex structures of functional connectivity and selecting network mediators simultaneously. We adopt block coordinate descent algorithm to implement a fast and efficient solution to our model. Simulation results indicate the efficacy of the model in selecting active mediators and reducing bias in effect estimation. With application to the Human Connectome Project Youth Adult (HCP-YA) study of 493 young adults, two genetic variants (rs769448 and rs769449) on the APOE4 gene are identified that lead to deficits in functional connectivity within visual networks and fluid intelligence.
Collapse
Affiliation(s)
- Wei Dai
- Department of Biostatistics, Yale University School of Public Health
| | - Heping Zhang
- Department of Biostatistics, Yale University School of Public Health
| |
Collapse
|
7
|
Kim Y, Lim J, Oh J. Taming neuroinflammation in Alzheimer's disease: The protective role of phytochemicals through the gut-brain axis. Biomed Pharmacother 2024; 178:117277. [PMID: 39126772 DOI: 10.1016/j.biopha.2024.117277] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 08/05/2024] [Accepted: 08/05/2024] [Indexed: 08/12/2024] Open
Abstract
Alzheimer's disease (AD) is a progressive degenerative neurological condition characterized by cognitive decline, primarily affecting memory and logical thinking, attributed to amyloid-β plaques and tau protein tangles in the brain, leading to neuronal loss and brain atrophy. Neuroinflammation, a hallmark of AD, involves the activation of microglia and astrocytes in response to pathological changes, potentially exacerbating neuronal damage. The gut-brain axis is a bidirectional communication pathway between the gastrointestinal and central nervous systems, crucial for maintaining brain health. Phytochemicals, natural compounds found in plants with antioxidant and anti-inflammatory properties, such as flavonoids, curcumin, resveratrol, and quercetin, have emerged as potential modulators of this axis, suggesting implications for AD prevention. Intake of phytochemicals influences the gut microbial composition and its metabolites, thereby impacting neuroinflammation and oxidative stress in the brain. Consumption of phytochemical-rich foods may promote a healthy gut microbiota, fostering the production of anti-inflammatory and neuroprotective substances. Early dietary incorporation of phytochemicals offers a non-invasive strategy for modulating the gut-brain axis and potentially reducing AD risk or delaying its onset. The exploration of interventions targeting the gut-brain axis through phytochemical intake represents a promising avenue for the development of preventive or therapeutic strategies against AD initiation and progression.
Collapse
Affiliation(s)
- Yoonsu Kim
- Department of Integrative Biology, Kyungpook National University, Daegu 41566, Republic of Korea
| | - Jinkyu Lim
- School of Food Science and Biotechnology, Kyungpook National University, Daegu 41566, Republic of Korea.
| | - Jisun Oh
- New Drug Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu 41061, Republic of Korea.
| |
Collapse
|
8
|
Livingston G, Huntley J, Liu KY, Costafreda SG, Selbæk G, Alladi S, Ames D, Banerjee S, Burns A, Brayne C, Fox NC, Ferri CP, Gitlin LN, Howard R, Kales HC, Kivimäki M, Larson EB, Nakasujja N, Rockwood K, Samus Q, Shirai K, Singh-Manoux A, Schneider LS, Walsh S, Yao Y, Sommerlad A, Mukadam N. Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. Lancet 2024; 404:572-628. [PMID: 39096926 DOI: 10.1016/s0140-6736(24)01296-0] [Citation(s) in RCA: 501] [Impact Index Per Article: 501.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/08/2024] [Accepted: 06/16/2024] [Indexed: 08/05/2024]
Affiliation(s)
- Gill Livingston
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| | - Jonathan Huntley
- Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | - Sergi G Costafreda
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Geir Selbæk
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Geriatric Department, Oslo University Hospital, Oslo, Norway
| | - Suvarna Alladi
- National Institute of Mental Health and Neurosciences, Bangalore, India
| | - David Ames
- National Ageing Research Institute, Melbourne, VIC, Australia; University of Melbourne Academic Unit for Psychiatry of Old Age, Melbourne, VIC, Australia
| | - Sube Banerjee
- Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | | | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Nick C Fox
- The Dementia Research Centre, Department of Neurodegenerative Disease, University College London, London, UK
| | - Cleusa P Ferri
- Health Technology Assessment Unit, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil; Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Laura N Gitlin
- College of Nursing and Health Professions, AgeWell Collaboratory, Drexel University, Philadelphia, PA, USA
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Helen C Kales
- Department of Psychiatry and Behavioral Sciences, UC Davis School of Medicine, University of California, Sacramento, CA, USA
| | - Mika Kivimäki
- Division of Psychiatry, University College London, London, UK; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Eric B Larson
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Noeline Nakasujja
- Department of Psychiatry College of Health Sciences, Makerere University College of Health Sciences, Makerere University, Kampala City, Uganda
| | - Kenneth Rockwood
- Centre for the Health Care of Elderly People, Geriatric Medicine, Dalhousie University, Halifax, NS, Canada
| | - Quincy Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview, Johns Hopkins University, Baltimore, MD, USA
| | - Kokoro Shirai
- Graduate School of Social and Environmental Medicine, Osaka University, Osaka, Japan
| | - Archana Singh-Manoux
- Division of Psychiatry, University College London, London, UK; Université Paris Cité, Inserm U1153, Paris, France
| | - Lon S Schneider
- Department of Psychiatry and the Behavioural Sciences and Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Sebastian Walsh
- Cambridge Public Health, University of Cambridge, Cambridge, UK
| | - Yao Yao
- China Center for Health Development Studies, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| | - Naaheed Mukadam
- Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK
| |
Collapse
|
9
|
Guo W, Guo Y, Song S, Huang X, Zhang Y, Zhang A, Meng F, Chang M, Wang Z. Causal effect of the age at first birth with depression: a mendelian randomization study. BMC Med Genomics 2024; 17:192. [PMID: 39049090 PMCID: PMC11270952 DOI: 10.1186/s12920-024-01966-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND This study aimed to explore the causal relationship between age at first birth (AFB) and depression. METHODS Using the univariable Mendelian randomization (UVMR) and multivariable Mendelian randomization (MVMR) methods to examine the potential correlation between age at first birth (AFB) and major depressive disorder and postpartum depression. A public database was used to obtain the genome-wide association studies (GWAS) summary data. We put inverse-variance-weighted (IVW) as the primary method in Mendelian randomization (MR) analysis and used sensitivity analysis to confirm the robustness of our result. RESULTS We found a significant causal association between AFB and major depressive disorder by using the IVW algorithm (odd ratio [OR] 0.826; 95% confidence interval [CI] 0.793 - 0.861; P = 4.51 × 10- 20). MR-Egger, weighted median, simple mode and weighted mode method concluded the same result (P < 0.05). During the sensitivity analysis, the heterogeneity test (Q-value = 55.061, df = 48, P = 2.81 × 10- 01, I2 = 12.82%) and the leave-one-out plot analysis confirmed the stability of the results. The outcomes of the pleiotropy test (MR-Egger intercept = 8.932 × 10- 3. SE = 6.909 × 10- 3. P = 2.02 × 10- 01) and MR_PRESSO global test (P = 2.03 × 10- 01) indicated there is no pleiotropy. CONCLUSION There is solid evidence that a higher age at first birth is associated with a lower risk of major depressive disorder.
Collapse
Affiliation(s)
- Wanshu Guo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Yuanyuan Guo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Shaokang Song
- Yebio Bioengineering Co., Ltd of Qingdao, Qingdao, 266000, China
| | - Xuankai Huang
- Da Bei Nong Food Group , Breeding Center , Harbin, 150000, Heilongjiang, China
- Branch of Animal Husbandry and Veterinary, Heilongjiang Academy of Agricultural Sciences, No. 2, Heyi St, Longsha District, Qiqihaer, 161005, China
| | - Yu Zhang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Aizhen Zhang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Fangrong Meng
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Minghang Chang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China
| | - Zhipeng Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, 150000, China.
- Center for Bioinformatics, Northeast Agricultural University, Harbin, 150000, China.
- Da Bei Nong Food Group , Breeding Center , Harbin, 150000, Heilongjiang, China.
| |
Collapse
|
10
|
Zhang S, Yuan J, Sun Y, Wu F, Liu Z, Zhai F, Zhang Y, Somekh J, Peleg M, Zhu YC, Huang Z, for the Alzheimer’s Disease Neuroimaging Initiative and the Australian Imaging Biomarkers and Lifestyle Study of Aging. Machine learning on longitudinal multi-modal data enables the understanding and prognosis of Alzheimer's disease progression. iScience 2024; 27:110263. [PMID: 39040055 PMCID: PMC11261013 DOI: 10.1016/j.isci.2024.110263] [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: 10/19/2023] [Revised: 03/01/2024] [Accepted: 06/11/2024] [Indexed: 07/24/2024] Open
Abstract
Alzheimer's disease (AD) is a complex pathophysiological disease. Allowing for heterogeneity, not only in disease manifestations but also in different progression patterns, is critical for developing effective disease models that can be used in clinical and research settings. We introduce a machine learning model for identifying underlying patterns in Alzheimer's disease (AD) trajectory using longitudinal multi-modal data from the ADNI cohort and the AIBL cohort. Ten biologically and clinically meaningful disease-related states were identified from data, which constitute three non-overlapping stages (i.e., neocortical atrophy [NCA], medial temporal atrophy [MTA], and whole brain atrophy [WBA]) and two distinct disease progression patterns (i.e., NCA → WBA and MTA → WBA). The index of disease-related states provided a remarkable performance in predicting the time to conversion to AD dementia (C-Index: 0.923 ± 0.007). Our model shows potential for promoting the understanding of heterogeneous disease progression and early predicting the conversion time to AD dementia.
Collapse
Affiliation(s)
- Suixia Zhang
- Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, P.R. China
- Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, China
| | - Jing Yuan
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Yu Sun
- Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, P.R. China
| | - Fei Wu
- Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, P.R. China
| | - Ziyue Liu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Feifei Zhai
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Yaoyun Zhang
- DAMO Academy, Alibaba Group, 969 Wenyixi Rd, Hangzhou 310058, P.R. China
| | - Judith Somekh
- Department of Information Systems, University of Haifa, Haifa 3303220, Israel
| | - Mor Peleg
- Department of Information Systems, University of Haifa, Haifa 3303220, Israel
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Zhengxing Huang
- Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, P.R. China
| | - for the Alzheimer’s Disease Neuroimaging Initiative and the Australian Imaging Biomarkers and Lifestyle Study of Aging
- Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, P.R. China
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
- DAMO Academy, Alibaba Group, 969 Wenyixi Rd, Hangzhou 310058, P.R. China
- Department of Information Systems, University of Haifa, Haifa 3303220, Israel
- Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830017, China
| |
Collapse
|
11
|
Meng W, Xu J, Huang Y, Wang C, Song Q, Ma A, Song L, Bian J, Ma Q, Yin R. Autoencoder to Identify Sex-Specific Sub-phenotypes in Alzheimer's Disease Progression Using Longitudinal Electronic Health Records. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.07.24310055. [PMID: 39040206 PMCID: PMC11261930 DOI: 10.1101/2024.07.07.24310055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Alzheimer's Disease (AD) is a complex neurodegenerative disorder significantly influenced by sex differences, with approximately two-thirds of AD patients being women. Characterizing the sex-specific AD progression and identifying its progression trajectory is a crucial step to developing effective risk stratification and prevention strategies. In this study, we developed an autoencoder to uncover sex-specific sub-phenotypes in AD progression leveraging longitudinal electronic health record (EHR) data from OneFlorida+ Clinical Research Consortium. Specifically, we first constructed temporal patient representation using longitudinal EHRs from a sex-stratified AD cohort. We used a long short-term memory (LSTM)-based autoencoder to extract and generate latent representation embeddings from sequential clinical records of patients. We then applied hierarchical agglomerative clustering to the learned representations, grouping patients based on their progression sub-phenotypes. The experimental results show we successfully identified five primary sex-based AD sub-phenotypes with corresponding progression pathways with high confidence. These sex-specific sub-phenotypes not only illustrated distinct AD progression patterns but also revealed differences in clinical characteristics and comorbidities between females and males in AD development. These findings could provide valuable insights for advancing personalized AD intervention and treatment strategies.
Collapse
Affiliation(s)
- Weimin Meng
- Department of Health Outcomes &Biomedical Informatics, University of Florida, Gainesville, FL, 32610, USA
| | - Jie Xu
- Department of Health Outcomes &Biomedical Informatics, University of Florida, Gainesville, FL, 32610, USA
| | - Yu Huang
- Department of Health Outcomes &Biomedical Informatics, University of Florida, Gainesville, FL, 32610, USA
| | - Cankun Wang
- Department of Biomedical Informatics, Ohio State University, Columbus, OH, 43210, USA
| | - Qianqian Song
- Department of Health Outcomes &Biomedical Informatics, University of Florida, Gainesville, FL, 32610, USA
| | - Anjun Ma
- Department of Biomedical Informatics, Ohio State University, Columbus, OH, 43210, USA
| | - Lixin Song
- School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA
| | - Jiang Bian
- Department of Health Outcomes &Biomedical Informatics, University of Florida, Gainesville, FL, 32610, USA
| | - Qin Ma
- Department of Biomedical Informatics, Ohio State University, Columbus, OH, 43210, USA
| | - Rui Yin
- Department of Health Outcomes &Biomedical Informatics, University of Florida, Gainesville, FL, 32610, USA
| |
Collapse
|
12
|
Zhang Z, Wu W, Wu Z, He Y, Chang X, Deng S, Zhou R, Chen Y, Zhang H. Bridging the gap: exploring the causal relationship between metformin and tumors. Front Genet 2024; 15:1397390. [PMID: 38962452 PMCID: PMC11220117 DOI: 10.3389/fgene.2024.1397390] [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: 03/08/2024] [Accepted: 06/03/2024] [Indexed: 07/05/2024] Open
Abstract
Objective Numerous studies have reported that metformin can reduce the risk of tumor development. However, some of the results of these studies are conflicting, necessitating a more reliable evaluation. Methods We conducted a Mendelian randomization phenome-wide association study (MR-PheWAS) of tumors to explore the causal relationship between metformin and tumors. Two cohorts of patients taking metformin were obtained from the UK Biobank. Complete phenotype data of the tumors were obtained from FinnGen_R10. We elucidated the causal relationship using a two-sample Mendelian randomization (MR) analysis. More importantly, we conducted a meta-analysis to ensure relatively unbiased results. In the MR analysis, we used the inverse-variance weighted (IVW) method as the main outcome indicator. Subsequently, two cohorts were integrated for the meta-analysis. Finally, we investigated the mechanisms through mediational MR analysis. Results MR analysis revealed that metformin might have a causal relationship with 13 tumor-associated phenotypes in the training cohort. Four phenotypes were validated in the testing cohort. In the training and testing cohorts, metformin exhibited a protective effect against brain meningiomas and malignant neoplasms of the breast (HER-positive), oral cavity, tonsils, and the base of the tongue. Intriguingly, after integrating the results of the two cohorts for the meta-analysis, 12 results were statistically significant. Mediational MR analysis suggested that the effects of metformin on brain meningiomas may be weakened by the presence of the family Oxalobacteraceae. Conclusion Metformin exhibits potential preventive and therapeutic effects on four types of tumors: brain meningioma, malignant neoplasms of the breast (HER-positive), oral cavity and tonsils, and the base of the tongue. Large randomized controlled trials are required to confirm these findings.
Collapse
Affiliation(s)
- Zexin Zhang
- The Second Clinical School of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wenfeng Wu
- The Second Clinical School of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zexia Wu
- The Second Clinical School of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yihan He
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xuesong Chang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shenyuan Deng
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Rui Zhou
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yadong Chen
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Haibo Zhang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
- Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China
- Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou University of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| |
Collapse
|
13
|
Tian J, Jia K, Wang T, Guo L, Xuan Z, Michaelis EK, Swerdlow RH, Du H. Hippocampal transcriptome-wide association study and pathway analysis of mitochondrial solute carriers in Alzheimer's disease. Transl Psychiatry 2024; 14:250. [PMID: 38858380 PMCID: PMC11164935 DOI: 10.1038/s41398-024-02958-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 05/14/2024] [Accepted: 05/21/2024] [Indexed: 06/12/2024] Open
Abstract
The etiopathogenesis of late-onset Alzheimer's disease (AD) is increasingly recognized as the result of the combination of the aging process, toxic proteins, brain dysmetabolism, and genetic risks. Although the role of mitochondrial dysfunction in the pathogenesis of AD has been well-appreciated, the interaction between mitochondrial function and genetic variability in promoting dementia is still poorly understood. In this study, by tissue-specific transcriptome-wide association study (TWAS) and further meta-analysis, we examined the genetic association between mitochondrial solute carrier family (SLC25) genes and AD in three independent cohorts and identified three AD-susceptibility genes, including SLC25A10, SLC25A17, and SLC25A22. Integrative analysis using neuroimaging data and hippocampal TWAS-predicted gene expression of the three susceptibility genes showed an inverse correlation of SLC25A22 with hippocampal atrophy rate in AD patients, which outweighed the impacts of sex, age, and apolipoprotein E4 (ApoE4). Furthermore, SLC25A22 downregulation demonstrated an association with AD onset, as compared with the other two transcriptome-wide significant genes. Pathway and network analysis related hippocampal SLC25A22 downregulation to defects in neuronal function and development, echoing the enrichment of SLC25A22 expression in human glutamatergic neurons. The most parsimonious interpretation of the results is that we have identified AD-susceptibility genes in the SLC25 family through the prediction of hippocampal gene expression. Moreover, our findings mechanistically yield insight into the mitochondrial cascade hypothesis of AD and pave the way for the future development of diagnostic tools for the early prevention of AD from a perspective of precision medicine by targeting the mitochondria-related genes.
Collapse
Affiliation(s)
- Jing Tian
- Department of Pharmacology and Toxicology, University of Kansas, Lawrence, KS, USA
| | - Kun Jia
- Department of Pharmacology and Toxicology, University of Kansas, Lawrence, KS, USA
| | - Tienju Wang
- Department of Pharmacology and Toxicology, University of Kansas, Lawrence, KS, USA
| | - Lan Guo
- Department of Pharmacology and Toxicology, University of Kansas, Lawrence, KS, USA
| | - Zhenyu Xuan
- Department of Biological Sciences, The University of Texas at Dallas, Richardson, TX, USA
| | - Elias K Michaelis
- Department of Pharmaceutical Chemistry, University of Kansas, Lawrence, KS, USA
| | - Russell H Swerdlow
- Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Heng Du
- Department of Pharmacology and Toxicology, University of Kansas, Lawrence, KS, USA.
- Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA.
| |
Collapse
|
14
|
Lu T, Wang L, Zheng Y, Liu H, Liu J. Entertainment activities and the risk of Alzheimer's disease: a Mendelian randomization analysis. Front Aging Neurosci 2024; 16:1419317. [PMID: 38894851 PMCID: PMC11183303 DOI: 10.3389/fnagi.2024.1419317] [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: 04/18/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
Background Effective prevention is key to addressing the increasing prevalence and mortality of Alzheimer's disease. Assessing the causal relationship between modifiable entertainment activity factors and the risk of Alzheimer's disease is important for developing public health measures, but establishing causal relationships in epidemiological data may be challenging. Methods This study using the two-sample Mendelian randomization analysis aimed to investigate the causal effect of entertainment activity factors on the risk of Alzheimer's disease. Summary statistics from publicly available genome-wide association studies were used to analyze 14 modifiable entertainment activity. The inverse variance weighted random effects method as the primary analytical method to estimate causal effects was used. Additionally performed MR-Egger, weighted median and weighted model methods to assess the robustness of the results. The reliability of our findings was validated through systematic sensitivity analyses and tests for heterogeneity. Results We found significant correlation between time spent using computer (odds ratio 0.998; 95% confidence interval 0.996-0.999; p = 0.013) and Alzheimer's disease, compared to other studied entertainment activities that had no significant causal relationship with Alzheimer's disease. Conclusion Our findings support the hypothesis that increased computer use may reduce the risk of Alzheimer's disease, providing potential strategic directions for the prevention of neurodegenerative diseases.
Collapse
Affiliation(s)
- Tianqi Lu
- Obesity and Metabolism Medicine-Engineering Integration Laboratory, Department of General Surgery, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
- Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
- Medical Research Center, The Third People’s Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
| | - Lilin Wang
- Sichuan Engineering Research Center for Biomimetic Synthesis of Natural Drugs, School of Life Science and Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Yunhua Zheng
- Department of Quality Evaluation and Medical Record Management, The Affiliated Hospital of Southwest Jiaotong University and The Third People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Hua Liu
- Department of Neurology, The Affiliated Hospital of Southwest Jiaotong University and The Third People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Jianyu Liu
- Medical Research Center, The Third People’s Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
- Department of Neurology, The Affiliated Hospital of Southwest Jiaotong University and The Third People's Hospital of Chengdu, Chengdu, Sichuan, China
| |
Collapse
|
15
|
Chen X, Zheng Y, Wang J, Yue B, Zhang X, Nakai K, Yan LL. Resting heart rate and risk of dementia: a Mendelian randomization study in the international genomics of Alzheimer's Project and UK Biobank. PeerJ 2024; 12:e17073. [PMID: 38500529 PMCID: PMC10946385 DOI: 10.7717/peerj.17073] [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: 09/06/2023] [Accepted: 02/18/2024] [Indexed: 03/20/2024] Open
Abstract
Background Observational studies have demonstrated that a higher resting heart rate (RHR) is associated with an increased risk of dementia. However, it is not clear whether the association is causal. This study aimed to determine the causal effects of higher genetically predicted RHR on the risk of dementia. Methods We performed a two-sample Mendelian randomization analysis to investigate the causal effect of higher genetically predicted RHR on Alzheimer's disease (AD) using summary statistics from genome-wide association studies. The generalized summary Mendelian randomization (GSMR) analysis was used to analyze the corresponding effects of RHR on following different outcomes: 1) diagnosis of AD (International Genomics of Alzheimer's Project), 2) family history (maternal and paternal) of AD from UK Biobank, 3) combined meta-analysis including these three GWAS results. Further analyses were conducted to determine the possibility of reverse causal association by adjusting for RHR modifying medication. Results The results of GSMR showed no significant causal effect of higher genetically predicted RHR on the risk of AD (βGSMR = 0.12, P = 0.30). GSMR applied to the maternal family history of AD (βGSMR = -0.18, P = 0.13) and to the paternal family history of AD (βGSMR = -0.14, P = 0.39) showed the same results. Furthermore, the results were robust after adjusting for RHR modifying drugs (βGSMR = -0.03, P = 0.72). Conclusion Our study did not find any evidence that supports a causal effect of RHR on dementia. Previous observational associations between RHR and dementia are likely attributed to the correlation between RHR and other cardiovascular diseases.
Collapse
Affiliation(s)
- Xingxing Chen
- School of Public Health, Wuhan University, Wuhan, Hubei Province, China
- Duke Kunshan University, Global Health Research Center, Kunshan, Suzhou, China
| | - Yi Zheng
- The University of Tokyo, Department of Computational Biology and Medical Science, Kashiwa, Japan
| | - Jun Wang
- Huazhong University of Science and Technology, Department of Otorhinolaryngology of Union Hospital, Wuhan, Hubei Province, China
| | - Blake Yue
- School of Business and Law, Edith Cowan University, Perth, WA, Australia
- National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand
| | - Xian Zhang
- Duke Kunshan University, Global Health Research Center, Kunshan, Suzhou, China
| | - Kenta Nakai
- The University of Tokyo, Department of Computational Biology and Medical Science, Kashiwa, Japan
- The University of Tokyo, The Institute of Medical Science, Tokyo, Japan
| | - Lijing L. Yan
- School of Public Health, Wuhan University, Wuhan, Hubei Province, China
- Duke Kunshan University, Global Health Research Center, Kunshan, Suzhou, China
- Duke University, Duke Global Health Institute, Durham, North Carolina, United States of America
- Peking University, Institute for Global Health and Management, Beijing, China
| |
Collapse
|
16
|
Anderson EL, Davies NM, Korologou-Linden R, Kivimäki M. Dementia prevention: the Mendelian randomisation perspective. J Neurol Neurosurg Psychiatry 2024; 95:384-390. [PMID: 37967935 DOI: 10.1136/jnnp-2023-332293] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/25/2023] [Indexed: 11/17/2023]
Abstract
Understanding the causes of Alzheimer's disease and related dementias remains a challenge. Observational studies investigating dementia risk factors are limited by the pervasive issues of confounding, reverse causation and selection biases. Conducting randomised controlled trials for dementia prevention is often impractical due to the long prodromal phase and the inability to randomise many potential risk factors. In this essay, we introduce Mendelian randomisation as an alternative approach to examine factors that may prevent or delay Alzheimer's disease. Mendelian randomisation is a causal inference method that has successfully identified risk factors and treatments in various other fields. However, applying this method to dementia risk factors has yielded unexpected findings. Here, we consider five potential explanations and provide recommendations to enhance causal inference from Mendelian randomisation studies on dementia. By employing these strategies, we can better understand factors affecting dementia risk.
Collapse
Affiliation(s)
- Emma Louise Anderson
- Mental Health of Older People, Division of Psychiatry, University College London, London, UK
| | - Neil M Davies
- Epidemiology & Applied Clinical Research, Division of Psychiatry, University College London, London, UK
- Department of Statistical Sciences, University College London, London, UK
| | | | - Mika Kivimäki
- Mental Health of Older People, Division of Psychiatry, University College London, London, UK
| |
Collapse
|
17
|
Chiesa ST, Norris T, Garfield V, Richards M, Hughes AD. Early-life cumulative exposure to excess bodyweight and midlife cognitive function: longitudinal analysis in three British birth cohorts. THE LANCET. HEALTHY LONGEVITY 2024; 5:e204-e213. [PMID: 38432248 PMCID: PMC11752840 DOI: 10.1016/s2666-7568(24)00005-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 01/03/2024] [Accepted: 01/09/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND Excess bodyweight (BMI >25 kg/m2) in midlife (age 40-65 years) has been linked to future cognitive decline and an increased risk of dementia. Whether chronic exposure to excess bodyweight in the early decades of life (<40 years) is associated with compromised cognitive function by midlife, however, remains unclear. This study therefore aimed to test potential bidirectional direct and indirect pathways linking cumulative exposure to excess bodyweight and cognitive function in the early decades of life. METHODS In this longitudinal analysis, harmonised measures of BMI and cognitive function were available in 19 742 participants aged 47-53 years recruited to the 1946 National Survey of Health and Development (n=2131), the 1958 National Child Development Study (n=9385), and the 1970 British Cohort Study (n=8226). Individual BMI trajectories spanning three decades from age 10-40 years were created for each participant and excess bodyweight duration, BMI change between ages, and cumulative excess bodyweight exposure were calculated. Harmonised measures of verbal and non-verbal ability, mathematical ability, and reading ability were used to create a latent factor for childhood cognitive function, and immediate and delayed recall, animal naming, and letter-search speed tests were used for midlife cognitive function. Multivariable linear regression and structural equation models (SEM) were used to test for potential bidirectional relationships between cognition and excess bodyweight in both individual cohorts and pooled datasets while accounting for other potential early-life confounders. FINDINGS Increases in BMI during adolescence and greater cumulative exposure to excess bodyweight across early life were associated with lower midlife cognitive function in all cohorts (eg, pooled difference in cognitive function per 10 years excess bodyweight duration -0·10; 95% CI -0·12 to -0·08; p<0·001). Further adjustment for childhood cognitive function attenuated many of these associations towards the null (eg, pooled difference in cognitive function per 10 years excess bodyweight duration -0·04; 95% CI -0·06 to -0·02; p=0·001), however, with any remaining associations then fully attenuating once further adjusted for other early-life factors (eg, pooled difference in cognitive function per 10 years excess bodyweight duration 0, -0·03 to 0·01; p=0·38). In the reverse direction, low childhood cognition was associated with greater cumulative exposure to excess bodyweight over the next four decades, although much of this relationship was found to probably be explained via other potentially modifiable upstream early-life factors such as childhood disadvantage. SEM in all cohorts suggested the presence of modest direct and indirect pathways connecting earlier cognitive function to later excess bodyweight, but scarce evidence for an effect of early-life excess bodyweight on cognitive function by midlife. INTERPRETATION The association between cumulative exposure to excess bodyweight in early life and lower cognitive function in midlife is probably confounded by a persistently lower cognitive function from childhood. Initiatives to improve early-life factors such as childhood disadvantage and education, however, might exert dual but independent benefits on both of these factors before old age. FUNDING Alzheimer's Research UK, Diabetes Research and Wellness Foundation, Diabetes UK, British Heart Foundation, and Medical Research Council.
Collapse
Affiliation(s)
- Scott T Chiesa
- Medical Research Council Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, UCL, London, UK.
| | - Tom Norris
- Division of Surgery and Interventional Science, Institute of Sport, Exercise and Health, UCL, London, UK
| | - Victoria Garfield
- Medical Research Council Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, UCL, London, UK
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, UCL, London, UK
| | - Alun D Hughes
- Medical Research Council Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, UCL, London, UK
| |
Collapse
|
18
|
Liu Y, Tan Y, Zhang Z, Yi M, Zhu L, Peng W. The interaction between ageing and Alzheimer's disease: insights from the hallmarks of ageing. Transl Neurodegener 2024; 13:7. [PMID: 38254235 PMCID: PMC10804662 DOI: 10.1186/s40035-024-00397-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 12/31/2023] [Accepted: 01/02/2024] [Indexed: 01/24/2024] Open
Abstract
Ageing is a crucial risk factor for Alzheimer's disease (AD) and is characterised by systemic changes in both intracellular and extracellular microenvironments that affect the entire body instead of a single organ. Understanding the specific mechanisms underlying the role of ageing in disease development can facilitate the treatment of ageing-related diseases, such as AD. Signs of brain ageing have been observed in both AD patients and animal models. Alleviating the pathological changes caused by brain ageing can dramatically ameliorate the amyloid beta- and tau-induced neuropathological and memory impairments, indicating that ageing plays a crucial role in the pathophysiological process of AD. In this review, we summarize the impact of several age-related factors on AD and propose that preventing pathological changes caused by brain ageing is a promising strategy for improving cognitive health.
Collapse
Affiliation(s)
- Yuqing Liu
- Department of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, No.139 Middle Renmin Road, Changsha, 410011, Hunan, People's Republic of China
- National Clinical Research Center for Metabolic Diseases, Changsha, 410011, People's Republic of China
| | - Yejun Tan
- School of Mathematics, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Zheyu Zhang
- Department of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, No.139 Middle Renmin Road, Changsha, 410011, Hunan, People's Republic of China
- National Clinical Research Center for Metabolic Diseases, Changsha, 410011, People's Republic of China
| | - Min Yi
- Department of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, No.139 Middle Renmin Road, Changsha, 410011, Hunan, People's Republic of China
- National Clinical Research Center for Metabolic Diseases, Changsha, 410011, People's Republic of China
| | - Lemei Zhu
- Academician Workstation, Changsha Medical University, Changsha, 410219, People's Republic of China
| | - Weijun Peng
- Department of Integrated Traditional Chinese and Western Medicine, The Second Xiangya Hospital, Central South University, No.139 Middle Renmin Road, Changsha, 410011, Hunan, People's Republic of China.
- National Clinical Research Center for Metabolic Diseases, Changsha, 410011, People's Republic of China.
| |
Collapse
|
19
|
Petermann-Rocha F, Deo S, Lyall D, Orkaby AR, Quinn TJ, Sattar N, Celis-Morales C, Pell JP, Ho FK. Association Between the AHA Life's Essential 8 Score and Incident All-Cause Dementia: A Prospective Cohort Study from UK Biobank. Curr Probl Cardiol 2023; 48:101934. [PMID: 37422047 DOI: 10.1016/j.cpcardiol.2023.101934] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 07/04/2023] [Indexed: 07/10/2023]
Abstract
This study aimed to investigate the association between the Life's Essential 8 (LE8) score and incident all-cause dementia (including Alzheimer's disease [AD] and vascular dementia) in UK Biobank. A total of 259,718 participants were included in this prospective study. Smoking, non-HDL cholesterol, blood pressure, body mass index, HbA1c, physical activity, diet, and sleep were used to create the Life's Essential 8 (LE8) score. Associations between the score (both continuous and as quartiles) and outcomes were investigated using adjusted Cox proportional hazard models. The potential impact fractions of 2 scenarios and the rate advancement periods were also calculated. Over a median follow-up of 10.6 years, 4958 participants were diagnosed with any dementia. Higher LE8 scores were associated with lower risk of all-cause and vascular dementia in an exponential decay pattern. Compared with individuals in the healthiest quartile, those in the least healthy quartile had a higher risk of all-cause dementia (HR: 1.50 [95% CI: 1.37-1.65] and vascular dementia (HR: 1.86 [1.44-2.42]). A targeted intervention that increased the score by 10-points among individuals in the lowest quartile could have prevented 6.8% of all-cause dementia cases. Individuals in the least healthy LE8 quartile might develop all-cause dementia 2.45 years earlier than their counterparts. In conclusion, individuals with higher LE8 scores had lower risk of all-cause and vascular dementia. Because of nonlinear associations, interventions targeted at the least healthy individuals might produce greater population-level benefits.
Collapse
Affiliation(s)
- Fanny Petermann-Rocha
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom; Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile
| | - Salil Deo
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom; Division of Cardiothoracic Surgery Surgical Services, Louis Stokes Cleveland VA Medical Center, Cleveland, OH; Case School of Medicine, Case Western Reserve University, Cleveland, OH
| | - Donald Lyall
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Ariela R Orkaby
- New England Geriatric Research, Education, and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA; Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Terence J Quinn
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom
| | - Carlos Celis-Morales
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom; Human Performance Laboratory, Education, Physical Activity and Health Research Unit, Universidad Católica del Maule, Talca, Chile
| | - Jill P Pell
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Frederick K Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
| |
Collapse
|
20
|
Sánchez Y, Castillo C, Fuentealba J, Sáez-Orellana F, Burgos CF, López JJ, F de la Torre A, Jiménez CA. New Benzodihydrofuran Derivatives Alter the Amyloid β Peptide Aggregation: Strategies To Develop New Anti-Alzheimer Drugs. ACS Chem Neurosci 2023; 14:2590-2602. [PMID: 37480555 DOI: 10.1021/acschemneuro.2c00778] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/24/2023] Open
Abstract
Alzheimer's disease is a neurodegenerative disorder that is the leading cause of dementia in elderly patients. Amyloid-β peptide (1-42 oligomers) has been identified as a neurotoxic factor, triggering many neuropathologic events. In this study, 15 chalcones were synthesized employing the Claisen-Schmidt condensation reaction, starting from a compound derived from fomannoxine, a natural benzodihydrofuran whose neuroprotective activity has been proven and reported, and methyl aromatic ketones with diverse patterns of halogenated substitution. As a result, chalcones were obtained, with good to excellent reaction yields from 50 to 98%. Cytotoxicity of the compounds was assessed, and their cytoprotective effect against the toxicity associated with Aβ was evaluated on PC-12 cells. Out of the 15 chalcones obtained, only the 4-bromo substituted was cytotoxic at most tested concentrations. Three synthesized chalcones showed a cytoprotective effect against Aβ toxicity (over 37%). The 2,4,5-trifluoro substituted chalcone was the most promising series since it showed a cytoprotective impact with more than 60 ± 5% of recovery of cellular viability; however, 3-fluoro substituted compound also exhibited important values of recovery (50 ± 6%). The fluorine substitution pattern was shown to be more effective for cytoprotective activity. Specifically, substitution with fluorine in the 3,5-positions turned out to be particularly effective for cytoprotection. Furthermore, fluorinated compounds inhibited the aggregation rate of Aβ, suggesting a dual effect that can be the starting point of new molecules with therapeutic potential.
Collapse
Affiliation(s)
- Yaíma Sánchez
- Departamento de Química Orgánica, Facultad de Ciencias Químicas, Universidad de Concepción, Concepcion 4130000, Chile
| | - Carolina Castillo
- Departamento de Fisiología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepcion 4130000, Chile
| | - Jorge Fuentealba
- Departamento de Fisiología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepcion 4130000, Chile
| | - Francisco Sáez-Orellana
- Departamento de Fisiología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepcion 4130000, Chile
| | - Carlos Felipe Burgos
- Departamento de Fisiología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepcion 4130000, Chile
| | - Jhon J López
- Departamento de Química Orgánica, Facultad de Ciencias Químicas, Universidad de Concepción, Concepcion 4130000, Chile
| | - Alexander F de la Torre
- Departamento de Química Orgánica, Facultad de Ciencias Químicas, Universidad de Concepción, Concepcion 4130000, Chile
| | - Claudio A Jiménez
- Departamento de Química Orgánica, Facultad de Ciencias Químicas, Universidad de Concepción, Concepcion 4130000, Chile
| |
Collapse
|
21
|
Zhang Y, Chen SD, Deng YT, You J, He XY, Wu XR, Wu BS, Yang L, Zhang YR, Kuo K, Feng JF, Cheng W, Suckling J, David Smith A, Yu JT. Identifying modifiable factors and their joint effect on dementia risk in the UK Biobank. Nat Hum Behav 2023; 7:1185-1195. [PMID: 37024724 DOI: 10.1038/s41562-023-01585-x] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 03/10/2023] [Indexed: 04/08/2023]
Abstract
Previous hypothesis-driven research has identified many risk factors linked to dementia. However, the multiplicity and co-occurrence of risk factors have been underestimated. Here we analysed data of 344,324 participants from the UK Biobank with 15 yr of follow-up data for 210 modifiable risk factors. We first conducted an exposure-wide association study and then combined factors associated with dementia to generate composite scores for different domains. We then evaluated their joint associations with dementia in a multivariate Cox model. We estimated the potential impact of eliminating the unfavourable profiles of risk domains on dementia using population attributable fraction. The associations varied by domain, with lifestyle (16.6%), medical history (14.0%) and socioeconomic status (13.5%) contributing to the majority of dementia cases. Overall, we estimated that up to 47.0%-72.6% of dementia cases could be prevented.
Collapse
Affiliation(s)
- Yi Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Yue-Ting Deng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jia You
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - Xiao-Yu He
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Xin-Rui Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Bang-Sheng Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Liu Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Kevin Kuo
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Wei Cheng
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - A David Smith
- Department of Pharmacology, University of Oxford, Oxford, UK
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
| |
Collapse
|
22
|
Daghlas I, Nassan M, Gill D. Genetically proxied lean mass and risk of Alzheimer's disease: mendelian randomisation study. BMJ MEDICINE 2023; 2:e000354. [PMID: 37564828 PMCID: PMC10410880 DOI: 10.1136/bmjmed-2022-000354] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 04/05/2023] [Indexed: 08/12/2023]
Abstract
Objective To examine whether genetically proxied lean mass is associated with risk of Alzheimer's disease. Design Mendelian randomisation study. Setting The UK Biobank study and genome wide association study meta-analyses of Alzheimer's disease and cognitive performance. Participants Summary level genetic data from: 450 243 UK Biobank participants with impedance measures of lean mass and fat mass; an independent sample of 21 982 patients with Alzheimer's disease and 41 944 controls without Alzheimer's disease; a replication sample of 7329 patients with Alzheimer's disease and 252 879 controls; and 269 867 individuals taking part in a genome wide association study of cognitive performance. Main outcome measure Effect of genetically proxied lean mass on the risk of Alzheimer's disease, and the related phenotype of cognitive performance. Results An increase in genetically proxied appendicular lean mass of one standard deviation was associated with a 12% reduced risk of Alzheimer's disease (odds ratio 0.88, 95% confidence interval 0.82 to 0.95, P=0.001). This finding was replicated in an independent cohort of patients with Alzheimer's disease (0.91, 0.83 to 0.99, P=0.02) and was consistent in sensitivity analyses that are more robust to the inclusion of pleiotropic variants. Higher genetically proxied appendicular lean mass was also associated with increased cognitive performance (standard deviation increase in cognitive performance for each standard deviation increase in appendicular lean mass 0.09, 95% confidence interval 0.06 to 0.11, P=0.001), and adjusting for potential mediation through genetically proxied cognitive performance did not reduce the association between appendicular lean mass and risk of Alzheimer's disease. Similar results were found for the outcomes of Alzheimer's disease and cognitive performance when the risk factors of genetically proxied trunk lean mass and whole body lean mass were used, respectively, adjusted for genetically proxied fat mass. Conclusions These findings suggest that lean mass might be a possible modifiable protective factor for Alzheimer's disease. The mechanisms underlying this finding, as well as the clinical and public health implications, warrant further investigation.
Collapse
Affiliation(s)
- Iyas Daghlas
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Malik Nassan
- Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, Northwestern University, Chicago, Illinois, USA
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Chief Scientific Advisor Office, Research and Early Development, Novo Nordisk, Copenhagen, Denmark
| |
Collapse
|
23
|
Nemergut M, Marques SM, Uhrik L, Vanova T, Nezvedova M, Gadara DC, Jha D, Tulis J, Novakova V, Planas-Iglesias J, Kunka A, Legrand A, Hribkova H, Pospisilova V, Sedmik J, Raska J, Prokop Z, Damborsky J, Bohaciakova D, Spacil Z, Hernychova L, Bednar D, Marek M. Domino-like effect of C112R mutation on ApoE4 aggregation and its reduction by Alzheimer's Disease drug candidate. Mol Neurodegener 2023; 18:38. [PMID: 37280636 DOI: 10.1186/s13024-023-00620-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 04/19/2023] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND Apolipoprotein E (ApoE) ε4 genotype is the most prevalent risk factor for late-onset Alzheimer's Disease (AD). Although ApoE4 differs from its non-pathological ApoE3 isoform only by the C112R mutation, the molecular mechanism of its proteinopathy is unknown. METHODS Here, we reveal the molecular mechanism of ApoE4 aggregation using a combination of experimental and computational techniques, including X-ray crystallography, site-directed mutagenesis, hydrogen-deuterium mass spectrometry (HDX-MS), static light scattering and molecular dynamics simulations. Treatment of ApoE ε3/ε3 and ε4/ε4 cerebral organoids with tramiprosate was used to compare the effect of tramiprosate on ApoE4 aggregation at the cellular level. RESULTS We found that C112R substitution in ApoE4 induces long-distance (> 15 Å) conformational changes leading to the formation of a V-shaped dimeric unit that is geometrically different and more aggregation-prone than the ApoE3 structure. AD drug candidate tramiprosate and its metabolite 3-sulfopropanoic acid induce ApoE3-like conformational behavior in ApoE4 and reduce its aggregation propensity. Analysis of ApoE ε4/ε4 cerebral organoids treated with tramiprosate revealed its effect on cholesteryl esters, the storage products of excess cholesterol. CONCLUSIONS Our results connect the ApoE4 structure with its aggregation propensity, providing a new druggable target for neurodegeneration and ageing.
Collapse
Affiliation(s)
- Michal Nemergut
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
- Center for Interdisciplinary Biosciences, Technology and Innovation Park, P. J. Safarik University in Kosice, Trieda SNP 1, Kosice, 04011, Slovakia
| | - Sérgio M Marques
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
| | - Lukas Uhrik
- Research Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Zluty kopec 7, Brno, 656 53, Czech Republic
| | - Tereza Vanova
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
- Department of Histology and Embryology, Faculty of Medicine, Kamenice 5, Brno, 625 00, Czech Republic
| | - Marketa Nezvedova
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
| | | | - Durga Jha
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
| | - Jan Tulis
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
| | - Veronika Novakova
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
| | - Joan Planas-Iglesias
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
| | - Antonin Kunka
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
| | - Anthony Legrand
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
| | - Hana Hribkova
- Department of Histology and Embryology, Faculty of Medicine, Kamenice 5, Brno, 625 00, Czech Republic
| | - Veronika Pospisilova
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
- Department of Histology and Embryology, Faculty of Medicine, Kamenice 5, Brno, 625 00, Czech Republic
| | - Jiri Sedmik
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
- Department of Histology and Embryology, Faculty of Medicine, Kamenice 5, Brno, 625 00, Czech Republic
| | - Jan Raska
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
- Department of Histology and Embryology, Faculty of Medicine, Kamenice 5, Brno, 625 00, Czech Republic
| | - Zbynek Prokop
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
| | - Jiri Damborsky
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic
| | - Dasa Bohaciakova
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic.
- Department of Histology and Embryology, Faculty of Medicine, Kamenice 5, Brno, 625 00, Czech Republic.
| | - Zdenek Spacil
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic.
| | - Lenka Hernychova
- Research Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Zluty kopec 7, Brno, 656 53, Czech Republic.
| | - David Bednar
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic.
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic.
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic.
| | - Martin Marek
- Loschmidt Laboratories, Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic.
- RECETOX, Faculty of Science, Masaryk University, Kamenice 5, Brno, 625 00, Czech Republic.
- International Clinical Research Center, St. Anne's University Hospital Brno, Pekarska 53, Brno, 656 91, Czech Republic.
| |
Collapse
|
24
|
Gorelik AJ, Paul SE, Karcher NR, Johnson EC, Nagella I, Blaydon L, Modi H, Hansen IS, Colbert SMC, Baranger DAA, Norton SA, Spears I, Gordon B, Zhang W, Hill PL, Oltmanns TF, Bijsterbosch JD, Agrawal A, Hatoum AS, Bogdan R. A Phenome-Wide Association Study (PheWAS) of Late Onset Alzheimer Disease Genetic Risk in Children of European Ancestry at Middle Childhood: Results from the ABCD Study. Behav Genet 2023; 53:249-264. [PMID: 37071275 PMCID: PMC10309061 DOI: 10.1007/s10519-023-10140-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 03/08/2023] [Indexed: 04/19/2023]
Abstract
Genetic risk for Late Onset Alzheimer Disease (AD) has been associated with lower cognition and smaller hippocampal volume in healthy young adults. However, whether these and other associations are present during childhood remains unclear. Using data from 5556 genomically-confirmed European ancestry youth who completed the baseline session of the ongoing the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®), our phenome-wide association study estimating associations between four indices of genetic risk for late-onset AD (i.e., AD polygenic risk scores (PRS), APOE rs429358 genotype, AD PRS with the APOE region removed (ADPRS-APOE), and an interaction between ADPRS-APOE and APOE genotype) and 1687 psychosocial, behavioral, and neural phenotypes revealed no significant associations after correction for multiple testing (all ps > 0.0002; all pfdr > 0.07). These data suggest that AD genetic risk may not phenotypically manifest during middle-childhood or that effects are smaller than this sample is powered to detect.
Collapse
Affiliation(s)
- Aaron J Gorelik
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Sarah E Paul
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Nicole R Karcher
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Isha Nagella
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Lauren Blaydon
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Hailey Modi
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Isabella S Hansen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Sarah M C Colbert
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - David A A Baranger
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Sara A Norton
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Isaiah Spears
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Brian Gordon
- Department of Radiology, Washington University in Saint Louis, 660 South Euclid Ave, Box 8225, St. Louis, MO, 63110, USA
- Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, St Louis, MO, USA
| | - Wei Zhang
- Department of Radiology, Washington University in Saint Louis, 660 South Euclid Ave, Box 8225, St. Louis, MO, 63110, USA
| | - Patrick L Hill
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Thomas F Oltmanns
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Janine D Bijsterbosch
- Department of Radiology, Washington University in Saint Louis, 660 South Euclid Ave, Box 8225, St. Louis, MO, 63110, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Alexander S Hatoum
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in Saint Louis, One Booking Drive, St. Louis, MO, 63130, USA.
| |
Collapse
|
25
|
Zhang DF, Li M. Toward a Full Understanding of Causal and Modifiable Risk Factors for Alzheimer's Disease by Integrative Phenome-wide Association Studies. Biol Psychiatry 2023; 93:756-758. [PMID: 37045512 DOI: 10.1016/j.biopsych.2023.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 01/18/2023] [Indexed: 04/14/2023]
Affiliation(s)
- Deng-Feng Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province and the KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Yunnan, China, and the Kunming College of Life Science, University of Chinese Academy of Sciences, Yunnan, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province and the KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Yunnan, China, and the Kunming College of Life Science, University of Chinese Academy of Sciences, Yunnan, China.
| |
Collapse
|
26
|
Exploring the causal effects of genetic liability to ADHD and Autism on Alzheimer's disease. Transl Psychiatry 2022; 12:422. [PMID: 36182936 PMCID: PMC9526708 DOI: 10.1038/s41398-022-02150-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 08/25/2022] [Accepted: 09/02/2022] [Indexed: 11/08/2022] Open
Abstract
Few studies suggest possible links between attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD) and Alzheimer's disease but they have been limited by small sample sizes, diagnostic and recall bias. We used two-sample Mendelian randomization (MR) to estimate the bidirectional causal association between genetic liability to ADHD and ASD on Alzheimer's disease. In addition, we estimated the causal effects independently of educational attainment and IQ, through multivariable Mendelian randomization (MVMR). We employed genetic variants associated with ADHD (20,183 cases/35,191 controls), ASD (18,381 cases/27,969 controls), Alzheimer's disease (71,880 cases/383,378 controls), educational attainment (n = 766,345) and IQ (n = 269,867) using the largest GWAS of European ancestry. There was limited evidence to suggest a causal effect of genetic liability to ADHD (odds ratio [OR] = 1.00, 95% CI: 0.98-1.02, P = 0.39) or ASD (OR = 0.99, 95% CI: 0.97-1.01, P = 0.70) on Alzheimer's disease. Similar causal effect estimates were identified as direct effects, independent of educational attainment (ADHD: OR = 1.00, 95% CI: 0.99-1.01, P = 0.76; ASD: OR = 0.99, 95% CI: 0.98-1.00, P = 0.28) and IQ (ADHD: OR = 1.00, 95% CI: 0.99-1.02. P = 0.29; ASD: OR = 0.99, 95% CI: 0.98-1.01, P = 0.99). Genetic liability to Alzheimer's disease was not found to have a causal effect on risk of ADHD or ASD (ADHD: OR = 1.12, 95% CI: 0.86-1.44, P = 0.37; ASD: OR = 1.19, 95% CI: 0.94-1.51, P = 0.14). We found limited evidence to suggest a causal effect of genetic liability to ADHD or ASD on Alzheimer's disease; and vice versa.
Collapse
|