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Swann P, Mirza-Davies A, O'Brien J. Associations Between Neuropsychiatric Symptoms and Inflammation in Neurodegenerative Dementia: A Systematic Review. J Inflamm Res 2024; 17:6113-6141. [PMID: 39262651 PMCID: PMC11389708 DOI: 10.2147/jir.s385825] [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: 04/15/2024] [Accepted: 08/30/2024] [Indexed: 09/13/2024] Open
Abstract
Background Neuropsychiatric symptoms are common in dementia and linked to adverse outcomes. Inflammation is increasingly recognized as playing a role as a driver of early disease progression in Alzheimer's disease (AD) and related dementias. Inflammation has also been linked to primary psychiatric disorders, however its association with neuropsychiatric symptoms in neurodegenerative dementias remains uncertain. Methods We conducted a systematic literature review investigating associations between inflammation and neuropsychiatric symptoms in neurodegenerative dementias, including AD, Lewy body, Frontotemporal, Parkinson's (PD) and Huntington's disease dementias. Results Ninety-nine studies met our inclusion criteria, and the majority (n = 59) investigated AD and/or mild cognitive impairment (MCI). Thirty-five studies included PD, and only 6 investigated non-AD dementias. Inflammation was measured in blood, CSF, by genotype, brain tissue and PET imaging. Overall, studies exhibited considerable heterogeneity and evidence for specific inflammatory markers was inconsistent, with lack of replication and few longitudinal studies with repeat biomarkers. Depression was the most frequently investigated symptom. In AD, some studies reported increases in peripheral IL-6, TNF-a associated with depressive symptoms. Preliminary investigations using PET measures of microglial activation found an association with agitation. In PD, studies reported positive associations between TNF-a, IL-6, CRP, MCP-1, IL-10 and depression. Conclusion Central and peripheral inflammation may play a role in neuropsychiatric symptoms in neurodegenerative dementias; however, the evidence is inconsistent. There is a need for multi-site longitudinal studies with detailed assessments of neuropsychiatric symptoms combined with replicable peripheral and central markers of inflammation.
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Affiliation(s)
- Peter Swann
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge, UK
| | - Anastasia Mirza-Davies
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge, UK
| | - John O'Brien
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, Cambridge, UK
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Kaur S, K M, Sharma A, Giridharan VV, Dandekar MP. Brain resident microglia in Alzheimer's disease: foe or friends. Inflammopharmacology 2024:10.1007/s10787-024-01550-8. [PMID: 39167311 DOI: 10.1007/s10787-024-01550-8] [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: 06/27/2024] [Accepted: 07/31/2024] [Indexed: 08/23/2024]
Abstract
The neurobiology of Alzheimer's disease (AD) is unclear due to its multifactorial nature. Although a wide range of studies revealed several pathomechanisms of AD, dementia is yet unmanageable with current pharmacotherapies. The recent growing literature illustrates the role of microglia-mediated neuroinflammation in the pathogenesis of AD. Indeed, microglia serve as predominant sentinels of the brain, which diligently monitor the neuroimmune axis by phagocytosis and releasing soluble factors. In the case of AD, microglial cells are involved in synaptic pruning and remodeling by producing inflammatory mediators. The conditional inter-transformation of classical activation (proinflammatory) or alternative activation (anti-inflammatory) microglia is responsible for most brain disorders. In this review, we discussed the role of microglia in neuroinflammatory processes in AD following the accumulation of amyloid-β and tau proteins. We also described the prominent phenotypes of microglia, such as disease-associated microglia (DAM), dark microglia, interferon-responsive microglia (IRMs), human AD microglia (HAMs), and microglial neurodegenerative phenotype (MGnD), which are closely associated with AD incidence. Considering the key role of microglia in AD progression, microglial-based therapeutics may hold promise in mitigating cognitive deficits by addressing the neuroinflammatory responses.
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Affiliation(s)
- Simranjit Kaur
- Department of Biological Sciences (Pharmacology and Toxicology), National Institute of Pharmaceutical Education and Research, Hyderabad, 500037, Telangana, India
| | - Malleshwari K
- Department of Biological Sciences (Pharmacology and Toxicology), National Institute of Pharmaceutical Education and Research, Hyderabad, 500037, Telangana, India
| | - Anamika Sharma
- Department of Biological Sciences (Pharmacology and Toxicology), National Institute of Pharmaceutical Education and Research, Hyderabad, 500037, Telangana, India
| | - Vijayasree V Giridharan
- Faillace Department of Psychiatry and Behavioural Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
- Neuroscience Graduate Program, The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA
| | - Manoj P Dandekar
- Department of Biological Sciences (Pharmacology and Toxicology), National Institute of Pharmaceutical Education and Research, Hyderabad, 500037, Telangana, India.
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Ray NR, Kumar A, Zaman A, del Rosario P, Mena PR, Manoochehri M, Stein C, De Vito AN, Sweet RA, Hohman TJ, Cuccaro ML, Beecham GW, Huey ED, Reitz C. Disentangling the genetic underpinnings of neuropsychiatric symptoms in Alzheimer's disease in the Alzheimer's Disease Sequencing Project: Study design and methodology. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e70000. [PMID: 39183746 PMCID: PMC11342352 DOI: 10.1002/dad2.70000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 07/24/2024] [Accepted: 07/26/2024] [Indexed: 08/27/2024]
Abstract
INTRODUCTION Neuropsychiatric symptoms (NPS) are highly prevalent in Alzheimer's disease (AD). There are no effective treatments targeting these symptoms. METHODS To facilitate identification of causative mechanistic pathways, we initiated an effort (NIH: U01AG079850) to collate, harmonize, and analyze all available NPS data (≈ 100,000 samples) of diverse ancestries with whole-genome sequencing data from the Alzheimer's Disease Sequencing Project (ADSP). RESULTS This study will generate a genomic resource for Alzheimer's disease with both harmonized whole-genome sequencing and NPS phenotype data that will be publicly available through NIAGADS. Primary analyses will (1) identify novel genetic risk factors associated with NPS in AD, (2) characterize the shared genetic architecture of NPS in AD and primary psychiatric disorders, and (3) assess the role of ancestry effects in the etiology of NPS in AD. DISCUSSION Expansion of the ADSP to harmonize and refine NPS phenotypes coupled with the proposed core analyses will lay the foundation to disentangle the molecular mechanisms underlying these detrimental symptoms in AD in diverse populations. Highlights Neuropsychiatric symptoms (NPS) are highly prevalent in Alzheimer's disease (AD).There are no effective treatments targeting NPS in AD.The current effort aims to collate, harmonize, and analyze all NPS data from the Alzheimer's Disease Sequencing Project.Core analyses will identify underlying genetic factors and mechanistic pathways.The harmonized genomic and phenotypic data from this initiative will be available through National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site.
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Affiliation(s)
- Nicholas R. Ray
- Gertrude H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
| | - Ajneesh Kumar
- Gertrude H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
| | - Andrew Zaman
- The John P. Hussman Institute for Human GenomicsUniversity of MiamiMiamiFloridaUSA
- Dr. John T. MacDonald Foundation Department of Human GeneticsUniversity of MiamiMiamiFloridaUSA
| | - Pamela del Rosario
- Gertrude H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
| | - Pedro R. Mena
- The John P. Hussman Institute for Human GenomicsUniversity of MiamiMiamiFloridaUSA
- Dr. John T. MacDonald Foundation Department of Human GeneticsUniversity of MiamiMiamiFloridaUSA
| | - Masood Manoochehri
- Department of Psychiatry and Human BehaviorAlpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Colin Stein
- Department of Psychiatry and Human BehaviorAlpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Alyssa N. De Vito
- Department of Psychiatry and Human BehaviorAlpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Robert A. Sweet
- Department of PsychiatrySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of NeurologySchool of MedicineUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer's CenterVanderbilt University Medical CenterNashvilleTennesseeUSA
- Department of NeurologyVanderbilt University Medical CenterNashvilleTennesseeUSA
- Vanderbilt Genetics InstituteVanderbilt University Medical CenterNashvilleTennesseeUSA
| | - Michael L. Cuccaro
- The John P. Hussman Institute for Human GenomicsUniversity of MiamiMiamiFloridaUSA
- Dr. John T. MacDonald Foundation Department of Human GeneticsUniversity of MiamiMiamiFloridaUSA
| | - Gary W. Beecham
- The John P. Hussman Institute for Human GenomicsUniversity of MiamiMiamiFloridaUSA
- Dr. John T. MacDonald Foundation Department of Human GeneticsUniversity of MiamiMiamiFloridaUSA
| | - Edward D. Huey
- Department of Psychiatry and Human BehaviorAlpert Medical School of Brown UniversityProvidenceRhode IslandUSA
| | - Christiane Reitz
- Gertrude H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
- Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
- Department of NeurologyColumbia UniversityNew YorkNew YorkUSA
- Department of EpidemiologyColumbia UniversityNew YorkNew YorkUSA
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Cummings J, Lanctot K, Grossberg G, Ballard C. Progress in Pharmacologic Management of Neuropsychiatric Syndromes in Neurodegenerative Disorders: A Review. JAMA Neurol 2024; 81:645-653. [PMID: 38558015 PMCID: PMC11164642 DOI: 10.1001/jamaneurol.2024.0586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Importance Neuropsychiatric syndromes (NPSs) are common in neurodegenerative disorders (NDDs); compromise the quality of life of patients and their care partners; and are associated with faster disease progression, earlier need for nursing home care, and poorer quality of life. Advances in translational pharmacology, clinical trial design and conduct, and understanding of the pathobiology of NDDs are bringing new therapies to clinical care. Observations Consensus definitions have evolved for psychosis, agitation, apathy, depression, and disinhibition in NDDs. Psychosocial interventions may reduce mild behavioral symptoms in patients with NDD, and pharmacotherapy is available for NPSs in NDDs. Brexpiprazole is approved for treatment of agitation associated with Alzheimer disease dementia, and pimavanserin is approved for treatment of delusions and hallucinations associated with psychosis of Parkinson disease. Trials are being conducted across several of the NDDs, and a variety of mechanisms of action are being assessed for their effect on NPSs. Conclusions and Relevance Detection and characterization of NPSs in patients with NDDs is the foundation for excellent care. New definitions for NPSs in NDDs may inform choices regarding clinical trial populations and translate into clinical practice. Psychosocial and pharmacologic therapies may reduce behavioral symptoms and improve quality of life for patients and caregivers. Approved agents may establish regulatory precedents, demonstrate successful trial strategies, and provide the foundation for further advances in treatment development.
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Affiliation(s)
- Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada, Las Vegas
| | - Krista Lanctot
- Departments of Psychiatry and Pharmacology, University of Toronto, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - George Grossberg
- Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, St Louis, Missouri
| | - Clive Ballard
- Exeter University Medical School, University of Exeter, Exeter, United Kingdom
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Hossain R, Noonong K, Nuinoon M, Lao-On U, Norris CM, Sompol P, Rahman MA, Majima HJ, Tangpong J. Alzheimer's diseases in America, Europe, and Asian regions: a global genetic variation. PeerJ 2024; 12:e17339. [PMID: 38756443 PMCID: PMC11097964 DOI: 10.7717/peerj.17339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 04/15/2024] [Indexed: 05/18/2024] Open
Abstract
Background Alzheimer's disease (AD) is one of the multifaceted neurodegenerative diseases influenced by many genetic and epigenetic factors. Genetic factors are merely not responsible for developing AD in the whole population. The studies of genetic variants can provide significant insights into the molecular basis of Alzheimer's disease. Our research aimed to show how genetic variants interact with environmental influences in different parts of the world. Methodology We searched PubMed and Google Scholar for articles exploring the relationship between genetic variations and global regions such as America, Europe, and Asia. We aimed to identify common genetic variations susceptible to AD and have no significant heterogeneity. To achieve this, we analyzed 35 single-nucleotide polymorphisms (SNPs) from 17 genes (ABCA7, APOE, BIN1, CD2AP, CD33, CLU, CR1, EPHA1, TOMM40, MS4A6A, ARID5B, SORL1, APOC1, MTHFD1L, BDNF, TFAM, and PICALM) from different regions based on previous genomic studies of AD. It has been reported that rs3865444, CD33, is the most common polymorphism in the American and European populations. From TOMM40 and APOE rs2075650, rs429358, and rs6656401, CR1 is the common investigational polymorphism in the Asian population. Conclusion The results of all the research conducted on AD have consistently shown a correlation between genetic variations and the incidence of AD in the populations of each region. This review is expected to be of immense value in future genetic research and precision medicine on AD, as it provides a comprehensive understanding of the genetic factors contributing to the development of this debilitating disease.
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Affiliation(s)
- Rahni Hossain
- School of Allied Health Sciences, College of Graduate Studies, Walailak University, Nakhon Si Thammarat, Thailand
| | - Kunwadee Noonong
- School of Allied Health Sciences, College of Graduate Studies, Walailak University, Nakhon Si Thammarat, Thailand
- Research Excellence Center for Innovation and Health Product (RECIHP), School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand
| | - Manit Nuinoon
- School of Allied Health Sciences, College of Graduate Studies, Walailak University, Nakhon Si Thammarat, Thailand
| | - Udom Lao-On
- School of Allied Health Sciences, College of Graduate Studies, Walailak University, Nakhon Si Thammarat, Thailand
- Research Excellence Center for Innovation and Health Product (RECIHP), School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand
| | - Christopher M. Norris
- Department of Pharmacology & Nutritional Sciences, College of Medicine, University of Kentucky, Lexington, Kentucky, United States
| | - Pradoldej Sompol
- Department of Pharmacology & Nutritional Sciences, College of Medicine, University of Kentucky, Lexington, Kentucky, United States
| | - Md. Atiar Rahman
- School of Allied Health Sciences, College of Graduate Studies, Walailak University, Nakhon Si Thammarat, Thailand
- Department of Biochemistry and Molecular Biology, University of Chittagong, Chittagong, Bangladesh
| | - Hideyuki J. Majima
- School of Allied Health Sciences, College of Graduate Studies, Walailak University, Nakhon Si Thammarat, Thailand
- Research Excellence Center for Innovation and Health Product (RECIHP), School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand
| | - Jitbanjong Tangpong
- School of Allied Health Sciences, College of Graduate Studies, Walailak University, Nakhon Si Thammarat, Thailand
- Research Excellence Center for Innovation and Health Product (RECIHP), School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand
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6
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Zhang X, Zhou C, Hu J, Hu J, Ding Y, Chen S, Wang X, Xu L, Gou Z, Zhang S, Shi W. Six-gene prognostic signature for non-alcoholic fatty liver disease susceptibility using machine learning. Medicine (Baltimore) 2024; 103:e38076. [PMID: 38728481 PMCID: PMC11081587 DOI: 10.1097/md.0000000000038076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 04/10/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND nonalcoholic fatty liver disease (NAFLD) is a common liver disease affecting the global population and its impact on human health will continue to increase. Genetic susceptibility is an important factor influencing its onset and progression, and there is a lack of reliable methods to predict the susceptibility of normal populations to NAFLD using appropriate genes. METHODS RNA sequencing data relating to nonalcoholic fatty liver disease was analyzed using the "limma" package within the R software. Differentially expressed genes were obtained through preliminary intersection screening. Core genes were analyzed and obtained by establishing and comparing 4 machine learning models, then a prediction model for NAFLD was constructed. The effectiveness of the model was then evaluated, and its applicability and reliability verified. Finally, we conducted further gene correlation analysis, analysis of biological function and analysis of immune infiltration. RESULTS By comparing 4 machine learning algorithms, we identified SVM as the optimal model, with the first 6 genes (CD247, S100A9, CSF3R, DIP2C, OXCT 2 and PRAMEF16) as predictive genes. The nomogram was found to have good reliability and effectiveness. Six genes' receiver operating characteristic curves (ROC) suggest an essential role in NAFLD pathogenesis, and they exhibit a high predictive value. Further analysis of immunology demonstrated that these 6 genes were closely connected to various immune cells and pathways. CONCLUSION This study has successfully constructed an advanced and reliable prediction model based on 6 diagnostic gene markers to predict the susceptibility of normal populations to NAFLD, while also providing insights for potential targeted therapies.
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Affiliation(s)
- Xiang Zhang
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Chunzi Zhou
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Jingwen Hu
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Jingwen Hu
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Yueping Ding
- The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Shiqi Chen
- Lishui Hospital of Traditional Chinese Medicine, Lishui, China
| | - Xu Wang
- Shanghai Jinshan TCM-Integrated Hospital, Shanghai, China
| | - Lei Xu
- The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Zhijun Gou
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Shuqiao Zhang
- First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Weiqun Shi
- The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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7
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Suhre K. Genetic associations with ratios between protein levels detect new pQTLs and reveal protein-protein interactions. CELL GENOMICS 2024; 4:100506. [PMID: 38412862 PMCID: PMC10943581 DOI: 10.1016/j.xgen.2024.100506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/25/2023] [Accepted: 01/26/2024] [Indexed: 02/29/2024]
Abstract
Protein quantitative trait loci (pQTLs) are an invaluable source of information for drug target development because they provide genetic evidence to support protein function, suggest relationships between cis- and trans-associated proteins, and link proteins to disease endpoints. Using Olink proteomics data for 1,463 proteins measured in over 54,000 samples of the UK Biobank, we identified 4,248 associations with 2,821 ratios between protein levels (rQTLs). rQTLs were 7.6-fold enriched in known protein-protein interactions, suggesting that their ratios reflect biological links between the implicated proteins. Conducting a GWAS on ratios increased the number of discovered genetic signals by 24.7%. The approach can identify novel loci of clinical relevance, support causal gene identification, and reveal complex networks of interacting proteins. Taken together, our study adds significant value to the genetic insights that can be derived from the UKB proteomics data and motivates the wider use of ratios in large-scale GWAS.
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Affiliation(s)
- Karsten Suhre
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha 24144, Qatar; Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
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8
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Cho SB. Comorbidity Genes of Alzheimer's Disease and Type 2 Diabetes Associated with Memory and Cognitive Function. Int J Mol Sci 2024; 25:2211. [PMID: 38396891 PMCID: PMC10889845 DOI: 10.3390/ijms25042211] [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: 01/02/2024] [Revised: 02/02/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
Alzheimer's disease (AD) and type 2 diabetes mellitus (T2DM) are comorbidities that result from the sharing of common genes. The molecular background of comorbidities can provide clues for the development of treatment and management strategies. Here, the common genes involved in the development of the two diseases and in memory and cognitive function are reviewed. Network clustering based on protein-protein interaction network identified tightly connected gene clusters that have an impact on memory and cognition among the comorbidity genes of AD and T2DM. Genes with functional implications were intensively reviewed and relevant evidence summarized. Gene information will be useful in the discovery of biomarkers and the identification of tentative therapeutic targets for AD and T2DM.
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Affiliation(s)
- Seong Beom Cho
- Department of Biomedical Informatics, College of Medicine, Gachon University, 38-13, Dokgeom-ro 3 Street, Namdon-gu, Incheon 21565, Republic of Korea
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9
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Devanand DP, Jeste DV, Stroup TS, Goldberg TE. Overview of late-onset psychoses. Int Psychogeriatr 2024; 36:28-42. [PMID: 36866576 DOI: 10.1017/s1041610223000157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
BACKGROUND Several etiologies can underlie the development of late-onset psychosis, defined by first psychotic episode after age 40 years. Late-onset psychosis is distressing to patients and caregivers, often difficult to diagnose and treat effectively, and associated with increased morbidity and mortality. METHODS The literature was reviewed with searches in Pubmed, MEDLINE, and the Cochrane library. Search terms included "psychosis," "delusions," hallucinations," "late onset," "secondary psychoses," "schizophrenia," bipolar disorder," "psychotic depression," "delirium," "dementia," "Alzheimer's," "Lewy body," "Parkinson's, "vascular dementia," and "frontotemporal dementia." This overview covers the epidemiology, clinical features, neurobiology, and therapeutics of late-onset psychoses. RESULTS Late-onset schizophrenia, delusional disorder, and psychotic depression have unique clinical characteristics. The presentation of late-onset psychosis requires investigation for underlying etiologies of "secondary" psychosis, which include neurodegenerative, metabolic, infectious, inflammatory, nutritional, endocrine, and medication toxicity. In delirium, psychosis is common but controlled evidence is lacking to support psychotropic medication use. Delusions and hallucinations are common in Alzheimer's disease, and hallucinations are common in Parkinson's disease and Lewy body dementia. Psychosis in dementia is associated with increased agitation and a poor prognosis. Although commonly used, no medications are currently approved for treating psychosis in dementia patients in the USA and nonpharmacological interventions need consideration. CONCLUSION The plethora of possible causes of late-onset psychosis requires accurate diagnosis, estimation of prognosis, and cautious clinical management because older adults have greater susceptibility to the adverse effects of psychotropic medications, particularly antipsychotics. Research is warranted on developing and testing efficacious and safe treatments for late-onset psychotic disorders.
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Affiliation(s)
- D P Devanand
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, USA
| | - Dilip V Jeste
- Departments of Psychiatry, Neurosciences University of California San Diego, La Jolla, USA
| | - T Scott Stroup
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, USA
| | - Terry E Goldberg
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, USA
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10
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Nowrangi MA, Outen JD, Kim J, Avramopoulos D, Lyketsos CG, Rosenberg PB. Neuropsychiatric Symptoms of Alzheimer's Disease: An Anatomic-Genetic Framework for Treatment Development. J Alzheimers Dis 2023; 95:53-68. [PMID: 37522204 DOI: 10.3233/jad-221247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
BACKGROUND Despite the burden on patients and caregivers, there are no approved therapies for the neuropsychiatric symptoms of Alzheimer's disease (NPS-AD). This is likely due to an incomplete understanding of the underlying mechanisms. OBJECTIVE To review the neurobiological mechanisms of NPS-AD, including depression, psychosis, and agitation. METHODS Understanding that genetic encoding gives rise to the function of neural circuits specific to behavior, we review the genetics and neuroimaging literature to better understand the biological underpinnings of depression, psychosis, and agitation. RESULTS We found that mechanisms involving monoaminergic biosynthesis and function are likely key elements of NPS-AD and while current treatment approaches are in line with this, the lack of effectiveness may be due to contributions from additional mechanisms including neurodegenerative, vascular, inflammatory, and immunologic pathways. CONCLUSION Within an anatomic-genetic framework, development of novel effective biological targets may engage targets within these pathways but will require a better understanding of the heterogeneity in NPS-AD.
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Affiliation(s)
- Milap A Nowrangi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins Medicine and Johns Hopkins Bayview Medical Center, Baltimore, MD, USA
| | - John D Outen
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John Kim
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dimitrios Avramopoulos
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins Medicine and Johns Hopkins Bayview Medical Center, Baltimore, MD, USA
| | - Constantine G Lyketsos
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins Medicine and Johns Hopkins Bayview Medical Center, Baltimore, MD, USA
| | - Paul B Rosenberg
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins Medicine and Johns Hopkins Bayview Medical Center, Baltimore, MD, USA
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11
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Manca R, Pardiñas AF, Venneri A. The neural signatures of psychoses in Alzheimer's disease: a neuroimaging genetics approach. Eur Arch Psychiatry Clin Neurosci 2023; 273:253-267. [PMID: 35727357 PMCID: PMC9957843 DOI: 10.1007/s00406-022-01432-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 05/15/2022] [Indexed: 11/03/2022]
Abstract
Psychoses in Alzheimer's disease (AD) are associated with worse prognosis. Genetic vulnerability for schizophrenia (SCZ) may drive AD-related psychoses, yet its impact on brain constituents is still unknown. This study aimed to investigate the association between polygenic risk scores (PRSs) for SCZ and psychotic experiences (PE) and grey matter (GM) volume in patients with AD with (AD-PS) and without (AD-NP) psychosis. Clinical, genetic and T1-weighted MRI data for 800 participants were extracted from the ADNI database: 203 healthy controls, 121 AD-PS and 476 AD-NP. PRSs were calculated using a Bayesian approach and analysed at ten p-value thresholds. Standard voxel-based morphometry was used to process MRI data. Logistic regression models including both PRSs for SCZ and PE, and an AD-PRS were used to predict psychosis in AD. Associations between PRSs and GM volume were investigated in the whole sample and the three groups independently. Only the AD-PRS predicted psychosis in AD. Inconsistent associations between the SCZ-PRS and PE-PRS and GM volumes were found across groups. The SCZ-PRS was negatively associated with medio-temporal/subcortical volumes and positively with medial/orbitofrontal volumes in the AD-PS group. Only medio-temporal areas were more atrophic in the AD-PS group, while there was no significant correlation between psychosis severity and GM volume. Although not associated with psychoses, the SCZ-PRS was correlated with smaller medio-temporal and larger orbitofrontal volumes in AD-PS. Similar alterations have also been observed in SCZ patients. This finding suggest a possible disconnection between these regions associated with psychoses in more advanced AD.
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Affiliation(s)
- Riccardo Manca
- grid.7728.a0000 0001 0724 6933Department of Life Sciences, Brunel University London, Uxbridge, London, UK
| | - Antonio F. Pardiñas
- grid.5600.30000 0001 0807 5670MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Annalena Venneri
- Department of Life Sciences, Brunel University London, Uxbridge, London, UK. .,Department of Medicine and Surgery, University of Parma, Parma, Italy.
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12
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Liao W, Luo H, Ruan Y, Mai Y, Liu C, Chen J, Yang S, Xuan A, Liu J. Identification of candidate genes associated with clinical onset of Alzheimer's disease. Front Neurosci 2022; 16:1060111. [PMID: 36605552 PMCID: PMC9808086 DOI: 10.3389/fnins.2022.1060111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
Background and objective Alzheimer's disease (AD) is the most common type of dementia, with its pathology like beta-amyloid and phosphorylated tau beginning several years before the clinical onset. The aim is to identify genetic risk factors associated with the onset of AD. Methods We collected three microarray data of post-mortem brains of AD patients and the healthy from the GEO database and screened differentially expressed genes between AD and healthy control. GO/KEGG analysis was applied to identify AD-related pathways. Then we distinguished differential expressed genes between symptomatic and asymptomatic AD. Feature importance with logistic regression analysis is adopted to identify the most critical genes with symptomatic AD. Results Data was collected from three datasets, including 184 AD patients and 132 healthy controls. We found 66 genes to be differently expressed between AD and the control. The pathway enriched in the process of exocytosis, synapse, and metabolism and identified 19 candidate genes, four of which (VSNL1, RTN1, FGF12, and ENC1) are vital. Conclusion VSNL1, RTN1, FGF12, and ENC1 may be the essential genes that progress asymptomatic AD to symptomatic AD. Moreover, they may serve as genetic risk factors to identify high-risk individuals showing an earlier onset of AD.
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Affiliation(s)
- Wang Liao
- Department of Neurology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Haoyu Luo
- Department of Neurology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yuting Ruan
- Department of Rehabilitation, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yingren Mai
- Department of Neurology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Chongxu Liu
- Department of Neurology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jiawei Chen
- Guangzhou Medical University, Guangzhou, China
| | - Shaoqing Yang
- Department of Neurology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China,Shaoqing Yang,
| | - Aiguo Xuan
- School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China,Aiguo Xuan,
| | - Jun Liu
- Department of Neurology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China,*Correspondence: Jun Liu,
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13
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Reyes‐Dumeyer D, Faber K, Vardarajan B, Goate A, Renton A, Chao M, Boeve B, Cruchaga C, Pericak‐Vance M, Haines JL, Rosenberg R, Tsuang D, Sweet RA, Bennett DA, Wilson RS, Foroud T, Mayeux R. The National Institute on Aging Late-Onset Alzheimer's Disease Family Based Study: A resource for genetic discovery. Alzheimers Dement 2022; 18:1889-1897. [PMID: 34978149 PMCID: PMC9250549 DOI: 10.1002/alz.12514] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 06/25/2021] [Accepted: 08/11/2021] [Indexed: 02/02/2023]
Abstract
INTRODUCTION The National Institute on Aging Late-Onset Alzheimer's Disease Family Based Study (NIA-LOAD FBS) was established to study the genetic etiology of Alzheimer's disease (AD). METHODS Recruitment focused on families with two living affected siblings and a third first-degree relative similar in age with or without dementia. Uniform assessments were completed, DNA was obtained, as was neuropathology, when possible. Apolipoprotein E (APOE) genotypes, genome-wide single nucleotide polymorphism (SNP) arrays, and sequencing was completed in most families. RESULTS APOE genotype modified the age-at-onset in many large families. Novel variants and known variants associated with early- and late-onset AD and frontotemporal dementia were identified supporting an international effort to solve AD genetics. DISCUSSION The NIA-LOAD FBS is the largest collection of familial AD worldwide, and data or samples have been included in 123 publications addressing the genetic etiology of AD. Genetic heterogeneity and variability in the age-at-onset provides opportunities to investigate the complexity of familial AD.
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Affiliation(s)
- Dolly Reyes‐Dumeyer
- Department of NeurologyTaub Institute for Research on Alzheimer's Disease and the Aging Brain and the Gertrude H. Sergievsky Center, Columbia University in the City of New YorkNew YorkNew YorkUSA
| | - Kelley Faber
- Department of Medical and Molecular GeneticsNational Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)Indiana University School of MedicineIndianapolisIndianaUSA
| | - Badri Vardarajan
- Department of NeurologyTaub Institute for Research on Alzheimer's Disease and the Aging Brain and the Gertrude H. Sergievsky Center, Columbia University in the City of New YorkNew YorkNew YorkUSA
| | - Alison Goate
- Department of Genetics & Genomic SciencesRonald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Alan Renton
- Department of Genetics & Genomic SciencesRonald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Michael Chao
- Department of Genetics & Genomic SciencesRonald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Brad Boeve
- Department of NeurologyMayo ClinicRochesterMinnesotaUSA
| | - Carlos Cruchaga
- Department of PsychiatryWashington University in St. LouisSt. LouisMissouriUSA
| | - Margaret Pericak‐Vance
- John P. Hussman Institute for Human GenomicsDr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of MedicineMiamiFloridaUSA
| | - Jonathan L. Haines
- Department of Population & Quantitative Health Sciences and Cleveland Institute for Computational BiologyCase Western Reserve UniversityClevelandOhioUSA
| | - Roger Rosenberg
- Department of NeurologyUniversity of Texas Southwestern Medical Center at DallasDallasTexasUSA
| | - Debby Tsuang
- GRECC VA Puget SoundDepartment of Psychiatry and Behavioral SciencesUniversity of WashingtonSeattleWashingtonUSA
| | - Robert A. Sweet
- Departments of Psychiatry and NeurologyUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - David A. Bennett
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Robert S. Wilson
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Tatiana Foroud
- Department of Medical and Molecular GeneticsNational Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)Indiana University School of MedicineIndianapolisIndianaUSA
| | - Richard Mayeux
- Department of NeurologyTaub Institute for Research on Alzheimer's Disease and the Aging Brain and the Gertrude H. Sergievsky Center, Columbia University in the City of New YorkNew YorkNew YorkUSA
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14
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Pezzoli S, Manca R, Cagnin A, Venneri A. A Multimodal Neuroimaging and Neuropsychological Study of Visual Hallucinations in Alzheimer’s Disease. J Alzheimers Dis 2022; 89:133-149. [DOI: 10.3233/jad-215107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Hallucinations in Alzheimer’s disease (AD) have been linked to more severe cognitive and functional decline. However, research on visual hallucinations (VH), the most common type of hallucinations in AD, is limited. Objective: To investigate the cognitive and cerebral macrostructural and metabolic features associated with VH in AD. Methods: Twenty-four AD patients with VH, 24 with no VH (NVH), and 24 cognitively normal (CN) matched controls were selected from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Differences in regional gray matter (GM) volumes and cognitive performance were investigated with whole brain voxel-based morphometry analyses of MRI structural brain scans, and analyses of neuropsychological tests. Glucose metabolic changes were explored in a subsample of patients who had FDG-PET scans available. Results: More severe visuoconstructive and attentional deficits were found in AD VH compared with NVH. GM atrophy and hypometabolism were detected in occipital and temporal areas in VH patients in comparison with CN. On the other hand, NVH patients had atrophy and hypometabolism mainly in temporal areas. No differences in GM volume and glucose metabolism were found in the direct comparison between AD VH and NVH. Conclusion: In addition to the pattern of brain abnormalities typical of AD, occipital alterations were observed in patients with VH compared with CN. More severe visuoconstructive and attentional deficits were found in AD VH when directly compared with NVH, and might contribute to the emergence of VH in AD.
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Affiliation(s)
- Stefania Pezzoli
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
- Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Riccardo Manca
- Department of Life Sciences, Brunel University London, London, UK
| | - Annachiara Cagnin
- Department of Neurosciences, University of Padua, Padua, Italy
- Padua Neuroscience Center (PNC), University of Padua, Padua, Italy
| | - Annalena Venneri
- Department of Life Sciences, Brunel University London, London, UK
- Department of Medicine and Surgery, University of Parma, Parma, Italy
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15
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Ruffini N, Klingenberg S, Heese R, Schweiger S, Gerber S. The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach. Front Aging Neurosci 2022; 14:866886. [PMID: 35832065 PMCID: PMC9271745 DOI: 10.3389/fnagi.2022.866886] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/13/2022] [Indexed: 12/12/2022] Open
Abstract
The common features of all neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Amyotrophic Lateral Sclerosis (ALS), and Huntington's disease, are the accumulation of aggregated and misfolded proteins and the progressive loss of neurons, leading to cognitive decline and locomotive dysfunction. Still, they differ in their ultimate manifestation, the affected brain region, and the kind of proteinopathy. In the last decades, a vast number of processes have been described as associated with neurodegenerative diseases, making it increasingly harder to keep an overview of the big picture forming from all those data. In this meta-study, we analyzed genomic, transcriptomic, proteomic, and epigenomic data of the aforementioned diseases using the data of 234 studies in a network-based approach to study significant general coherences but also specific processes in individual diseases or omics levels. In the analysis part, we focus on only some of the emerging findings, but trust that the meta-study provided here will be a valuable resource for various other researchers focusing on specific processes or genes contributing to the development of neurodegeneration.
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Affiliation(s)
- Nicolas Ruffini
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
- Leibniz Institute for Resilience Research, Leibniz Association, Mainz, Germany
| | - Susanne Klingenberg
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Raoul Heese
- Fraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern, Germany
| | - Susann Schweiger
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Susanne Gerber
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University, Mainz, Germany
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16
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Chen Y, Chen T, Hou R. Locus coeruleus in the pathogenesis of Alzheimer's disease: A systematic review. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2022; 8:e12257. [PMID: 35282658 PMCID: PMC8900465 DOI: 10.1002/trc2.12257] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 12/19/2021] [Accepted: 12/21/2021] [Indexed: 01/22/2023]
Abstract
The locus coeruleus (LC) is a nucleus in the brain stem producing noradrenaline. While cognitive decline in Alzheimer's disease (AD) has primarily been related to cholinergic depletion, evidence indicates extensive LC degeneration as its earliest pathological marker. The current study aimed to systematically evaluate current evidence investigating the role of the LC in the pathogenesis of AD. A systematic search of the literature was performed on electronic databases including PubMed and Web of Science. Twelve animal, human post mortem, and human imaging studies were included in this review. Screening, data extraction, and quality assessment were undertaken following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for preferred reporting of systematic reviews. Significant associations were identified between LC changes and cognitive decline. Significant reductions in fiber density, neuronal number, and LC volume were seen to correlate with other pathological degenerative markers. Current evidence indicates an important role of the LC in pathogenesis of AD and suggests its potential in both diagnosis and treatment of AD. This systematic review advances our understanding of the role of the LC in AD by synthesizing available evidence, identifying research gaps, highlighting methodological challenges, and making recommendations for future work.
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Affiliation(s)
- Yuqing Chen
- School of Clinical MedicineAddenbrooke's HospitalUniversity of CambridgeCambridgeUK
| | - Teng Chen
- Department of NeurosurgeryQilu Hospital of Shandong UniversityJinanShandongChina
| | - Ruihua Hou
- Clinical and Experimental SciencesFaculty of MedicineUniversity of SouthamptonSouthamptonUK
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17
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Torvell M, Carpanini SM, Daskoulidou N, Byrne RAJ, Sims R, Morgan BP. Genetic Insights into the Impact of Complement in Alzheimer's Disease. Genes (Basel) 2021; 12:1990. [PMID: 34946939 PMCID: PMC8702080 DOI: 10.3390/genes12121990] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/12/2021] [Accepted: 12/13/2021] [Indexed: 01/18/2023] Open
Abstract
The presence of complement activation products at sites of pathology in post-mortem Alzheimer's disease (AD) brains is well known. Recent evidence from genome-wide association studies (GWAS), combined with the demonstration that complement activation is pivotal in synapse loss in AD, strongly implicates complement in disease aetiology. Genetic variations in complement genes are widespread. While most variants individually have only minor effects on complement homeostasis, the combined effects of variants in multiple complement genes, referred to as the "complotype", can have major effects. In some diseases, the complotype highlights specific parts of the complement pathway involved in disease, thereby pointing towards a mechanism; however, this is not the case with AD. Here we review the complement GWAS hits; CR1 encoding complement receptor 1 (CR1), CLU encoding clusterin, and a suggestive association of C1S encoding the enzyme C1s, and discuss difficulties in attributing the AD association in these genes to complement function. A better understanding of complement genetics in AD might facilitate predictive genetic screening tests and enable the development of simple diagnostic tools and guide the future use of anti-complement drugs, of which several are currently in development for central nervous system disorders.
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Affiliation(s)
- Megan Torvell
- UK Dementia Research Institute Cardiff, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK; (M.T.); (S.M.C.); (N.D.); (R.A.J.B.)
- Division of Infection and Immunity, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Sarah M. Carpanini
- UK Dementia Research Institute Cardiff, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK; (M.T.); (S.M.C.); (N.D.); (R.A.J.B.)
- Division of Infection and Immunity, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Nikoleta Daskoulidou
- UK Dementia Research Institute Cardiff, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK; (M.T.); (S.M.C.); (N.D.); (R.A.J.B.)
- Division of Infection and Immunity, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Robert A. J. Byrne
- UK Dementia Research Institute Cardiff, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK; (M.T.); (S.M.C.); (N.D.); (R.A.J.B.)
- Division of Infection and Immunity, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK;
| | - B. Paul Morgan
- UK Dementia Research Institute Cardiff, School of Medicine, Cardiff University, Cardiff CF24 4HQ, UK; (M.T.); (S.M.C.); (N.D.); (R.A.J.B.)
- Division of Infection and Immunity, Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
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18
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Hermans SJ, Nero TL, Morton CJ, Gooi JH, Crespi GAN, Hancock NC, Gao C, Ishii K, Markulić J, Parker MW. Structural biology of cell surface receptors implicated in Alzheimer’s disease. Biophys Rev 2021; 14:233-255. [DOI: 10.1007/s12551-021-00903-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 11/02/2021] [Indexed: 02/06/2023] Open
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19
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Yang L, Zhao S, Ma N, Liu L, Li D, Li X, Wang Z, Song X, Wang Y, Wang D. Novel DIP2C gene splicing variant in an individual with focal infantile epilepsy. Am J Med Genet A 2021; 188:210-215. [PMID: 34617658 DOI: 10.1002/ajmg.a.62524] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 08/15/2021] [Accepted: 09/07/2021] [Indexed: 11/06/2022]
Abstract
Disco-interacting protein 2 C (DIP2C) encodes a disco-interacting protein and is highly expressed in the nervous system. Most variants of DIP2C are microdeletions on chromosome 10p15.3. This study reports a 17-month-old infant with focal infantile epilepsy who has a single-nucleotide variation in DIP2C that results in alternative splicing. The de novo variation (NM_014974.3: c.1057+2T>G) in DIP2C was uncovered through whole-exome sequencing. Minigene assays were performed and verified the alternative splicing caused by the variation. Finally, an 80-bp nucleotide deletion in the 3' end of Exon 8 was detected. Our study identified a de novo splicing variant that affects the coding length of DIP2C. This finding provides a new candidate gene for focal infantile epilepsy. Importantly, our finding is the first to associate a single nucleotide variant in DIP2C with focal infantile epilepsy.
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Affiliation(s)
- Le Yang
- Department of Pediatric neurology, Xi'an Children's Hospital, Xi'an, China
| | - Siyu Zhao
- Department of Pediatric neurology, Xi'an Children's Hospital, Xi'an, China
| | - Nan Ma
- Department of Pediatric neurology, Xi'an Children's Hospital, Xi'an, China
| | - Liang Liu
- Department of Pediatric neurology, Xi'an Children's Hospital, Xi'an, China
| | - Dongjing Li
- Department of Pediatric neurology, Xi'an Children's Hospital, Xi'an, China
| | - Xia Li
- Department of Pediatric neurology, Xi'an Children's Hospital, Xi'an, China
| | - Zhijing Wang
- Department of Pediatric neurology, Xi'an Children's Hospital, Xi'an, China
| | - Xixiao Song
- Department of Pediatric neurology, Xi'an Children's Hospital, Xi'an, China
| | - Yan Wang
- Department of Pediatric neurology, Xi'an Children's Hospital, Xi'an, China
| | - Dong Wang
- Department of Pediatric neurology, Xi'an Children's Hospital, Xi'an, China
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20
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DeMichele-Sweet MAA, Klei L, Creese B, Harwood JC, Weamer EA, McClain L, Sims R, Hernandez I, Moreno-Grau S, Tárraga L, Boada M, Alarcón-Martín E, Valero S, Liu Y, Hooli B, Aarsland D, Selbaek G, Bergh S, Rongve A, Saltvedt I, Skjellegrind HK, Engdahl B, Stordal E, Andreassen OA, Djurovic S, Athanasiu L, Seripa D, Borroni B, Albani D, Forloni G, Mecocci P, Serretti A, De Ronchi D, Politis A, Williams J, Mayeux R, Foroud T, Ruiz A, Ballard C, Holmans P, Lopez OL, Kamboh MI, Devlin B, Sweet RA. Genome-wide association identifies the first risk loci for psychosis in Alzheimer disease. Mol Psychiatry 2021; 26:5797-5811. [PMID: 34112972 PMCID: PMC8660923 DOI: 10.1038/s41380-021-01152-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 04/15/2021] [Accepted: 04/29/2021] [Indexed: 11/09/2022]
Abstract
Psychotic symptoms, defined as the occurrence of delusions or hallucinations, are frequent in Alzheimer disease (AD with psychosis, AD + P). AD + P affects ~50% of individuals with AD, identifies a subgroup with poor outcomes, and is associated with a greater degree of cognitive impairment and depressive symptoms, compared to subjects without psychosis (AD - P). Although the estimated heritability of AD + P is 61%, genetic sources of risk are unknown. We report a genome-wide meta-analysis of 12,317 AD subjects, 5445 AD + P. Results showed common genetic variation accounted for a significant portion of heritability. Two loci, one in ENPP6 (rs9994623, O.R. (95%CI) 1.16 (1.10, 1.22), p = 1.26 × 10-8) and one spanning the 3'-UTR of an alternatively spliced transcript of SUMF1 (rs201109606, O.R. 0.65 (0.56-0.76), p = 3.24 × 10-8), had genome-wide significant associations with AD + P. Gene-based analysis identified a significant association with APOE, due to the APOE risk haplotype ε4. AD + P demonstrated negative genetic correlations with cognitive and educational attainment and positive genetic correlation with depressive symptoms. We previously observed a negative genetic correlation with schizophrenia; instead, we now found a stronger negative correlation with the related phenotype of bipolar disorder. Analysis of polygenic risk scores supported this genetic correlation and documented a positive genetic correlation with risk variation for AD, beyond the effect of ε4. We also document a small set of SNPs likely to affect risk for AD + P and AD or schizophrenia. These findings provide the first unbiased identification of the association of psychosis in AD with common genetic variation and provide insights into its genetic architecture.
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Affiliation(s)
| | - Lambertus Klei
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Byron Creese
- University of Exeter Medical School, College of Medicine and Health, Exeter, UK
- Norwegian, Exeter and King's College Consortium for Genetics of Neuropsychiatric Symptoms in Dementia, Exeter, UK
| | - Janet C Harwood
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Elise A Weamer
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lora McClain
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Isabel Hernandez
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Sonia Moreno-Grau
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Lluís Tárraga
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Mercè Boada
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Emilio Alarcón-Martín
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Sergi Valero
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Yushi Liu
- Global Statistical Science, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA
| | - Basavaraj Hooli
- Neurodegeneration Research, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London and Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Geir Selbaek
- Norwegian National Advisory Unit in Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department Geriatric Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Sverre Bergh
- Research Centre of Age-related Functional Decline and Disease, Innlandet Hospital Trust, Pb 68, Ottestad, Norway
| | - Arvid Rongve
- Department of Research and Innovation, Helse Fonna, Haugesund and Department of Clinical Medicine (K1), University of Bergen, Bergen, Norway
| | - Ingvild Saltvedt
- Geriatric Department, St. Olav Hospital, University Hospital of Trondheim, Trondheim, Norway
- Department of Neuromedicine and Movement science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Håvard K Skjellegrind
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Levanger, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Bo Engdahl
- Norwegian Institute of Public Health, Oslo, Norway
| | - Eystein Stordal
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, and Oslo University Hospital, Oslo, Norway
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Lavinia Athanasiu
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Davide Seripa
- Department of Hematology and Stem Cell Transplant, Vito Fazzi Hospital, Lecce, Italy
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Diego Albani
- Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Gianluigi Forloni
- Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Diana De Ronchi
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Antonis Politis
- 1st Department of Psychiatry, Eginition Hospital, Medical School, National & Kapodistrian University of Athens, Athens, Greece
| | - Julie Williams
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
- UK Dementia Research Institute @ Cardiff, School of Medicine, Cardiff University, Cardiff, UK
| | - Richard Mayeux
- Departments of Neurology, Psychiatry and Epidemiology, Columbia University, New York, NY, USA
| | - Tatiana Foroud
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Agustin Ruiz
- Research Center and Memory Clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | | | - Peter Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Oscar L Lopez
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - M Ilyas Kamboh
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Robert A Sweet
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA.
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21
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Ferguson SA, Panos JJ, Sloper D, Varma V, Sarkar S. Alzheimer's disease: a step closer to understanding type 3 diabetes in African Americans. Metab Brain Dis 2021; 36:1803-1816. [PMID: 34021875 DOI: 10.1007/s11011-021-00754-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 05/10/2021] [Indexed: 10/21/2022]
Abstract
Alzheimer's disease (AD) is the fourth leading cause of death in the United States and the most common cause of adult-onset dementia. Recent results suggest an increased prevalence and severity in African Americans compared to Caucasians. Our understanding of the potential mechanism(s) underlying this ethnicity difference is limited. We previously described ethnicity-related differences in levels of neurodegenerative proteins and cytokines/chemokines in the BA21 region of African Americans and Caucasians with AD. Here, similar multiplex assays were used to examine those endpoints in patient postmortem cerebrospinal fluid (CSF). Additionally, we measured levels of C-peptide, ghrelin, gastric inhibitory polypeptide (GIP), glucagon-like peptide-1 (GLP-1), glucagon, insulin, leptin, PAI-1, resistin, and visfatin using a human diabetes 10-plex assay. The cytokine and chemokine assays revealed that levels of 26 chemokines or cytokines differed significantly with ethnicity, and three of those were significantly associated with gender. The neurodegenerative disease panel indicated that levels of soluble RAGE were significantly elevated in African Americans compared to Caucasians. All measures in the diabetes disease panel assay were significantly elevated in African Americans: ghrelin, GIP, GLP-1, glucagon, insulin, and visfatin. Through peripheral sample analysis, these results provide further evidence that ethnicity is critically involved in the manifestation of AD.
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Affiliation(s)
- Sherry A Ferguson
- Division of Neurotoxicology, National Center for Toxicological Research/Food and Drug Administration, Jefferson, AR, 72079, USA
| | - John J Panos
- Division of Neurotoxicology, National Center for Toxicological Research/Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Daniel Sloper
- Division of Systems Biology, National Center for Toxicological Research/Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Vijayalakshmi Varma
- Division of Systems Biology, National Center for Toxicological Research/Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Sumit Sarkar
- Division of Neurotoxicology, National Center for Toxicological Research/Food and Drug Administration, Jefferson, AR, 72079, USA.
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22
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An association study in the Taiwan Biobank elicits three novel candidates for cognitive aging in old adults: NCAM1, TTC12 and ZBTB20. Aging (Albany NY) 2021; 13:18769-18788. [PMID: 34285142 PMCID: PMC8351692 DOI: 10.18632/aging.203321] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 07/08/2021] [Indexed: 01/11/2023]
Abstract
The dopamine receptor-related loci have been suggested to be associated with cognitive functions and neurodegenerative diseases. It is unknown whether genetic variants such as single nucleotide polymorphisms (SNPs) in the dopamine receptor-related loci could contribute to cognitive aging independently as well as by virtue of complicated interplays in the elder population. To assess whether SNPs in the dopamine receptor-related loci are associated with cognitive aging in the elder population, we evaluated SNPs in the DRD1, NCAM1-TTC12-ANKK1-DRD2, DRD3-LOC107986115-ZNF80-TIGIT-MIR568-ZBTB20, DRD4, and DRD5-SLC2A9 loci from 25,195 older Taiwanese individuals from the Taiwan Biobank. Mini-Mental State Examination (MMSE) was scrutinized for all participants, where MMSE scores were employed to evaluate cognitive functions. From our analysis, we identified three novel genes for cognitive aging that have not previously been reported: ZBTB20 on chromosome 3 and NCAM1 and TTC12 on chromosome 11. NCAM1 and ZBTB20 are strong candidates for having a role in cognitive aging with mutations in ZBTB20 resulting in intellectual disability, and NCAM1 previously found to be associated with associative memory in humans. Additionally, we found the effects of interplays between physical activity and these three novel genes. Our study suggests that genetic variants in the dopamine receptor-related loci may influence cognitive aging individually and by means of gene-physical activity interactions.
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23
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Dehghani N, Bras J, Guerreiro R. How understudied populations have contributed to our understanding of Alzheimer's disease genetics. Brain 2021; 144:1067-1081. [PMID: 33889936 DOI: 10.1093/brain/awab028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/30/2020] [Accepted: 11/17/2020] [Indexed: 12/14/2022] Open
Abstract
The majority of genome-wide association studies have been conducted using samples with a broadly European genetic background. As a field, we acknowledge this limitation and the need to increase the diversity of populations studied. A major challenge when designing and conducting such studies is to assimilate large samples sizes so that we attain enough statistical power to detect variants associated with disease, particularly when trying to identify variants with low and rare minor allele frequencies. In this review, we aimed to illustrate the benefits to genetic characterization of Alzheimer's disease, in researching currently understudied populations. This is important for both fair representation of world populations and the translatability of findings. To that end, we conducted a literature search to understand the contributions of studies, on different populations, to Alzheimer's disease genetics. Using both PubMed and Alzforum Mutation Database, we systematically quantified the number of studies reporting variants in known disease-causing genes, in a worldwide manner, and discuss the contributions of research in understudied populations to the identification of novel genetic factors in this disease. Additionally, we compared the effects of genome-wide significant single nucleotide polymorphisms across populations by focusing on loci that show different association profiles between populations (a key example being APOE). Reports of variants in APP, PSEN1 and PSEN2 can initially determine whether patients from a country have been studied for Alzheimer's disease genetics. Most genome-wide significant associations in non-Hispanic white genome-wide association studies do not reach genome-wide significance in such studies of other populations, with some suggesting an opposite effect direction; this is likely due to much smaller sample sizes attained. There are, however, genome-wide significant associations first identified in understudied populations which have yet to be replicated. Familial studies in understudied populations have identified rare, high effect variants, which have been replicated in other populations. This work functions to both highlight how understudied populations have furthered our understanding of Alzheimer's disease genetics, and to help us gauge our progress in understanding the genetic architecture of this disease in all populations.
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Affiliation(s)
- Nadia Dehghani
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, Michigan, USA
| | - Jose Bras
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, Michigan, USA.,Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, USA
| | - Rita Guerreiro
- Department of Neurodegenerative Science, Van Andel Institute, Grand Rapids, Michigan, USA.,Division of Psychiatry and Behavioral Medicine, Michigan State University College of Human Medicine, Grand Rapids, MI, USA
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24
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Vogrinc D, Goričar K, Dolžan V. Genetic Variability in Molecular Pathways Implicated in Alzheimer's Disease: A Comprehensive Review. Front Aging Neurosci 2021; 13:646901. [PMID: 33815092 PMCID: PMC8012500 DOI: 10.3389/fnagi.2021.646901] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 02/16/2021] [Indexed: 12/14/2022] Open
Abstract
Alzheimer's disease (AD) is a complex neurodegenerative disease, affecting a significant part of the population. The majority of AD cases occur in the elderly with a typical age of onset of the disease above 65 years. AD presents a major burden for the healthcare system and since population is rapidly aging, the burden of the disease will increase in the future. However, no effective drug treatment for a full-blown disease has been developed to date. The genetic background of AD is extensively studied; numerous genome-wide association studies (GWAS) identified significant genes associated with increased risk of AD development. This review summarizes more than 100 risk loci. Many of them may serve as biomarkers of AD progression, even in the preclinical stage of the disease. Furthermore, we used GWAS data to identify key pathways of AD pathogenesis: cellular processes, metabolic processes, biological regulation, localization, transport, regulation of cellular processes, and neurological system processes. Gene clustering into molecular pathways can provide background for identification of novel molecular targets and may support the development of tailored and personalized treatment of AD.
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Affiliation(s)
| | | | - Vita Dolžan
- Pharmacogenetics Laboratory, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
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25
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Elek Z, Rónai Z, Hargitai R, Réthelyi J, Arndt B, Matuz A, Csathó Á, Polner B, Kállai J. Magical thinking as a bio-psychological developmental disposition for cognitive and affective symptoms intensity in schizotypy: Traits and genetic associations. PERSONALITY AND INDIVIDUAL DIFFERENCES 2021. [DOI: 10.1016/j.paid.2020.110498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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26
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Katzourou I, Leonenko G, Ivanov D, Meggy A, Marshall R, Sims R, Williams J, Holmans P, Escott-Price V. Cognitive Decline in Alzheimer's Disease Is Not Associated with APOE. J Alzheimers Dis 2021; 84:141-149. [PMID: 34487047 DOI: 10.3233/jad-210685] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND The rate of cognitive decline in Alzheimer's disease (AD) has been found to vary widely between individuals, with numerous factors driving this heterogeneity. OBJECTIVE This study aimed to compute a measure of cognitive decline in patients with AD based on clinical information and to utilize this measure to explore the genetic architecture of cognitive decline in AD. METHODS An in-house cohort of 616 individuals, hereby termed the Cardiff Genetic Resource for AD, as well as a subset of 577 individuals from the publicly available ADNI dataset, that have been assessed at multiple timepoints, were used in this study. Measures of cognitive decline were computed using various mixed effect linear models of Mini-Mental State Examination (MMSE). After an optimal model was selected, a metric of cognitive decline for each individual was estimated as the random slope derived from this model. This metric was subsequently used for testing the association of cognitive decline with apolipoprotein E (APOE) genotype. RESULTS No association was found between the number of APOEɛ2 or ɛ4 alleles and the rate of cognitive decline in either of the datasets examined. CONCLUSION Further exploration is required to uncover possible genetic variants that affect the rate of decline in patients with AD.
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Affiliation(s)
| | - Ganna Leonenko
- UK Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Dobril Ivanov
- UK Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Alun Meggy
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Rachel Marshall
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Julie Williams
- UK Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Peter Holmans
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
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27
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Ruffini N, Klingenberg S, Schweiger S, Gerber S. Common Factors in Neurodegeneration: A Meta-Study Revealing Shared Patterns on a Multi-Omics Scale. Cells 2020; 9:E2642. [PMID: 33302607 PMCID: PMC7764447 DOI: 10.3390/cells9122642] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 11/24/2020] [Accepted: 12/04/2020] [Indexed: 02/06/2023] Open
Abstract
Neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS) are heterogeneous, progressive diseases with frequently overlapping symptoms characterized by a loss of neurons. Studies have suggested relations between neurodegenerative diseases for many years (e.g., regarding the aggregation of toxic proteins or triggering endogenous cell death pathways). We gathered publicly available genomic, transcriptomic, and proteomic data from 177 studies and more than one million patients to detect shared genetic patterns between the neurodegenerative diseases on three analyzed omics-layers. The results show a remarkably high number of shared differentially expressed genes between the transcriptomic and proteomic levels for all conditions, while showing a significant relation between genomic and proteomic data between AD and PD and AD and ALS. We identified a set of 139 genes being differentially expressed in several transcriptomic experiments of all four diseases. These 139 genes showed overrepresented gene ontology (GO) Terms involved in the development of neurodegeneration, such as response to heat and hypoxia, positive regulation of cytokines and angiogenesis, and RNA catabolic process. Furthermore, the four analyzed neurodegenerative diseases (NDDs) were clustered by their mean direction of regulation throughout all transcriptomic studies for this set of 139 genes, with the closest relation regarding this common gene set seen between AD and HD. GO-Term and pathway analysis of the proteomic overlap led to biological processes (BPs), related to protein folding and humoral immune response. Taken together, we could confirm the existence of many relations between Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis on transcriptomic and proteomic levels by analyzing the pathways and GO-Terms arising in these intersections. The significance of the connection and the striking relation of the results to processes leading to neurodegeneration between the transcriptomic and proteomic data for all four analyzed neurodegenerative diseases showed that exploring many studies simultaneously, including multiple omics-layers of different neurodegenerative diseases simultaneously, holds new relevant insights that do not emerge from analyzing these data separately. Furthermore, the results shed light on processes like the humoral immune response that have previously been described only for certain diseases. Our data therefore suggest human patients with neurodegenerative diseases should be addressed as complex biological systems by integrating multiple underlying data sources.
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Affiliation(s)
- Nicolas Ruffini
- Institute for Human Genetics, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany; (N.R.); (S.K.); (S.S.)
- Leibniz Institute for Resilience Research, Leibniz Association, Wallstraße 7, 55122 Mainz, Germany
| | - Susanne Klingenberg
- Institute for Human Genetics, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany; (N.R.); (S.K.); (S.S.)
| | - Susann Schweiger
- Institute for Human Genetics, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany; (N.R.); (S.K.); (S.S.)
| | - Susanne Gerber
- Institute for Human Genetics, University Medical Center, Johannes Gutenberg University, 55131 Mainz, Germany; (N.R.); (S.K.); (S.S.)
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28
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Oo ZM, Adlat S, Sah RK, Myint MZZ, Hayel F, Chen Y, Htoo H, Bah FB, Bahadar N, Chan MK, Zhang L, Feng X, Zheng Y. Brain transcriptome study through CRISPR/Cas9 mediated mouse Dip2c gene knock-out. Gene 2020; 758:144975. [PMID: 32707302 DOI: 10.1016/j.gene.2020.144975] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/30/2020] [Accepted: 07/17/2020] [Indexed: 01/11/2023]
Abstract
Dip2C is highly expressed in brain and many other tissues but its biological functions are still not clear. Genes regulated by Dip2C in brain have never been studied. The clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein (Cas) systems, adaptive immune systems of bacteria and archaea, have been recently developed and broadly used in genome editing. Here, we describe targeted gene deletions of Dip2c gene in mice via CRISPR/Cas9 system and study of brain transcriptome under Dip2C regulation. The CRISPR/Cas9 system effectively generated targeted deletions of Dip2c by pronuclei injection of plasmids that express Cas9 protein and two sgRNAs. We achieved targeted large fragment deletion with efficiencies at 14.3% (1/7), 66.7% (2/3) and 20% (1/5) respectively in 3 independent experiments, averaging 26.7%. The large deletion DNA segments are 160.4 kb (Dip2CΔ160kb), spanning from end of exon 4 to mid of exon 38. A mouse with two base pair deletion was generated from a single sgRNA targeting in exon 4 (Dip2cΔ2bp) by non-homologous end joining (NHEJ). Loss of gene expression for Dip2c mRNA was confirmed by quantitative real-time PCR (qPCR). Dip2C-regulated genes and pathways in brain were investigated through RNAseq of Dip2cΔ2bp. In total, 838 genes were found differentially regulated, with 252 up and 586 down. Gene ontology (GO) analysis indicated that DEGs in brain are enriched in neurological functions including 'memory', 'neuropeptide signaling pathway', and 'response to amphetamine' while KEGG analysis shows that 'neuroactive ligand-receptor interaction pathway' is the most significantly enriched. DEGs Grid2ip, Grin2a, Grin2c, Grm4, Gabbr2, Gabra5, Gabre, Gabrq, Gabra6 and Gabrr2 are among the highly regulated genes by Dip2C. Results confirm Dip2C may play important roles in brain development and function.
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Affiliation(s)
- Zin Mar Oo
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China
| | - Salah Adlat
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China
| | - Rajiv Kumar Sah
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China
| | - May Zun Zaw Myint
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China
| | - Farooq Hayel
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China
| | - Yang Chen
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China
| | - Hsu Htoo
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China
| | - Fatoumata Binta Bah
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China
| | - Noor Bahadar
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China
| | - Mi Kaythi Chan
- Jilin Province Key Laboratory on Chemistry and Biology of Natural Drugs in Changbai, Mountain, School of Life Sciences, Northeast Normal University, Changchun 130024, Jilin Province, China
| | - Luqing Zhang
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China; Cardiovascular Research Institute, University of California, San Francisco, CA 94158, USA.
| | - Xuechao Feng
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China; Key Laboratory of Molecular Epigenetics of Ministry of Education, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China.
| | - Yaowu Zheng
- Transgenic Research Center, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China; Key Laboratory of Molecular Epigenetics of Ministry of Education, School of Life Sciences, Northeast Normal University, Changchun, Jilin 130024, China.
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29
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Ballard C, Kales HC, Lyketsos C, Aarsland D, Creese B, Mills R, Williams H, Sweet RA. Psychosis in Alzheimer's Disease. Curr Neurol Neurosci Rep 2020; 20:57. [PMID: 33048274 PMCID: PMC7554014 DOI: 10.1007/s11910-020-01074-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE OF REVIEW To review the incidence, treatment and genetics of psychosis in people with mild cognitive impairment (MCI) and Alzheimer's disease (AD). RECENT FINDINGS Psychosis in Alzheimer's disease (AD) has an incidence of ~ 10% per year. There is limited evidence regarding psychological interventions. Pharmacological management has focused on atypical antipsychotics, balancing modest benefits with evidence of long-term harms. The 5HT2A inverse agonist pimavanserin appears to confer benefit in PD psychosis with initial evidence of benefit in AD. Cholinesterase inhibitors give modest benefits in DLB psychosis. The utility of muscarinic agonists, lithium, glutamatergic and noradrenergic modulators needs further study. Recent work has confirmed the importance of psychosis in MCI as well as AD. The lack of evidence regarding psychological therapies is an urgent knowledge gap, but there is encouraging evidence for emerging pharmacological treatments. Genetics will provide an opportunity for precision medicine and new treatment targets.
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Affiliation(s)
- Clive Ballard
- The University of Exeter Medical School, College of Medicine and Health, The University of Exeter, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK.
| | | | | | - Dag Aarsland
- University Hospital Stavanger, Stavanger, Norway
- King's College London, London, UK
| | - Byron Creese
- The University of Exeter Medical School, College of Medicine and Health, The University of Exeter, St Luke's Campus, Magdalen Road, Exeter, EX1 2LU, UK
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30
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Zeng Y, Huang X, Elkin K, Stone C, Rajah GB, Guan L, Du H, Geng X. Apolipoprotein E polymorphism carriers exhibit objective cognitive deficits: a single center trial. Neurol Res 2020; 42:676-682. [PMID: 32634047 DOI: 10.1080/01616412.2020.1782130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Yanfang Zeng
- Department of Neurology, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Xin Huang
- Department of Neurology, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Kenneth Elkin
- Department of Neurosurgery, Wayne State University School of Medicine, Detroit, MI, USA
| | - Christopher Stone
- Department of Neurosurgery, Wayne State University School of Medicine, Detroit, MI, USA
| | - Gary B. Rajah
- Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
- China-America Institute of Neuroscience, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Longfei Guan
- Department of Neurosurgery, Wayne State University School of Medicine, Detroit, MI, USA
| | - Huishan Du
- Department of Neurology, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Xiaokun Geng
- Department of Neurology, Beijing Luhe Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Gates Vascular Institute at Kaleida Health, Buffalo, NY, USA
- China-America Institute of Neuroscience, Beijing Luhe Hospital, Capital Medical University, Beijing, China
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31
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Bauermeister S, Orton C, Thompson S, Barker RA, Bauermeister JR, Ben-Shlomo Y, Brayne C, Burn D, Campbell A, Calvin C, Chandran S, Chaturvedi N, Chêne G, Chessell IP, Corbett A, Davis DHJ, Denis M, Dufouil C, Elliott P, Fox N, Hill D, Hofer SM, Hu MT, Jindra C, Kee F, Kim CH, Kim C, Kivimaki M, Koychev I, Lawson RA, Linden GJ, Lyons RA, Mackay C, Matthews PM, McGuiness B, Middleton L, Moody C, Moore K, Na DL, O'Brien JT, Ourselin S, Paranjothy S, Park KS, Porteous DJ, Richards M, Ritchie CW, Rohrer JD, Rossor MN, Rowe JB, Scahill R, Schnier C, Schott JM, Seo SW, South M, Steptoe M, Tabrizi SJ, Tales A, Tillin T, Timpson NJ, Toga AW, Visser PJ, Wade-Martins R, Wilkinson T, Williams J, Wong A, Gallacher JEJ. The Dementias Platform UK (DPUK) Data Portal. Eur J Epidemiol 2020; 35:601-611. [PMID: 32328990 PMCID: PMC7320955 DOI: 10.1007/s10654-020-00633-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 04/10/2020] [Indexed: 11/18/2022]
Abstract
The Dementias Platform UK Data Portal is a data repository facilitating access to data for 3 370 929 individuals in 42 cohorts. The Data Portal is an end-to-end data management solution providing a secure, fully auditable, remote access environment for the analysis of cohort data. All projects utilising the data are by default collaborations with the cohort research teams generating the data. The Data Portal uses UK Secure eResearch Platform infrastructure to provide three core utilities: data discovery, access, and analysis. These are delivered using a 7 layered architecture comprising: data ingestion, data curation, platform interoperability, data discovery, access brokerage, data analysis and knowledge preservation. Automated, streamlined, and standardised procedures reduce the administrative burden for all stakeholders, particularly for requests involving multiple independent datasets, where a single request may be forwarded to multiple data controllers. Researchers are provided with their own secure 'lab' using VMware which is accessed using two factor authentication. Over the last 2 years, 160 project proposals involving 579 individual cohort data access requests were received. These were received from 268 applicants spanning 72 institutions (56 academic, 13 commercial, 3 government) in 16 countries with 84 requests involving multiple cohorts. Projects are varied including multi-modal, machine learning, and Mendelian randomisation analyses. Data access is usually free at point of use although a small number of cohorts require a data access fee.
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Affiliation(s)
| | | | - Simon Thompson
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Roger A Barker
- Cambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | | | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Carol Brayne
- Department of Public Health, University of Cambridge, Cambridge, UK
| | - David Burn
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Archie Campbell
- Department of Medical Genetics, University of Edinburgh, Edinburgh, UK
| | | | | | | | - Geneviève Chêne
- Bordeaux Population Health, Université Bordeaux, Bordeaux, France
| | | | - Anne Corbett
- College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Mike Denis
- Oxford Academic Health Science Network, University of Oxford, Oxford, UK
| | - Carole Dufouil
- Bordeaux Population Health, Université Bordeaux, Bordeaux, France
| | - Paul Elliott
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Imperial College NIHR Biomedical Research Centre, Imperial College London, London, UK
- Health Data Research UK London at Imperial College London, London, UK
| | - Nick Fox
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | | | - Scott M Hofer
- Department of Psychology, University of Victoria, Victoria, Canada
| | - Michele T Hu
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK
| | | | - Frank Kee
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Chi-Hun Kim
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Changsoo Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Mika Kivimaki
- Institute of Epidemiology and Health, University College London, London, UK
| | - Ivan Koychev
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Rachael A Lawson
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Gerry J Linden
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Ronan A Lyons
- Swansea University Medical School, Swansea University, Swansea, UK
| | - Clare Mackay
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Paul M Matthews
- Division of Brain Sciences and UK Dementia Research Institute, Imperial College London, London, UK
| | | | - Lefkos Middleton
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Katrina Moore
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Sebastien Ourselin
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | | | - Ki-Soo Park
- Institute of Health Science, Gyeongsang National University, Jinju-si, South Korea
| | - David J Porteous
- Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | | | - Craig W Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Martin N Rossor
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - James B Rowe
- Cambridge University Department of Clinical Neurosciences and Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Rachael Scahill
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Christian Schnier
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Jonathan M Schott
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Sang W Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Matthew South
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Matthew Steptoe
- Department of Behavioural Science and Health, UCL, London, UK
| | - Sarah J Tabrizi
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Swansea, UK
| | | | | | | | - Pieter-Jelle Visser
- VU University Medical Centre, Maastricht University, Maastricht, The Netherlands
| | - Richard Wade-Martins
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
| | - Tim Wilkinson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Julie Williams
- Institute of Psychological Medicine and Clinical Neurosciences, and UK Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing, UCL, London, UK
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32
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Sims R, Hill M, Williams J. The multiplex model of the genetics of Alzheimer's disease. Nat Neurosci 2020; 23:311-322. [PMID: 32112059 DOI: 10.1038/s41593-020-0599-5] [Citation(s) in RCA: 249] [Impact Index Per Article: 62.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 01/24/2020] [Indexed: 12/25/2022]
Abstract
Genes play a strong role in Alzheimer's disease (AD), with late-onset AD showing heritability of 58-79% and early-onset AD showing over 90%. Genetic association provides a robust platform to build our understanding of the etiology of this complex disease. Over 50 loci are now implicated for AD, suggesting that AD is a disease of multiple components, as supported by pathway analyses (immunity, endocytosis, cholesterol transport, ubiquitination, amyloid-β and tau processing). Over 50% of late-onset AD heritability has been captured, allowing researchers to calculate the accumulation of AD genetic risk through polygenic risk scores. A polygenic risk score predicts disease with up to 90% accuracy and is an exciting tool in our research armory that could allow selection of those with high polygenic risk scores for clinical trials and precision medicine. It could also allow cellular modelling of the combined risk. Here we propose the multiplex model as a new perspective from which to understand AD. The multiplex model reflects the combination of some, or all, of these model components (genetic and environmental), in a tissue-specific manner, to trigger or sustain a disease cascade, which ultimately results in the cell and synaptic loss observed in AD.
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Affiliation(s)
- Rebecca Sims
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Matthew Hill
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- UK Dementia Research Institute, School of Medicine, Cardiff University, Cardiff, UK
| | - Julie Williams
- Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK.
- UK Dementia Research Institute, School of Medicine, Cardiff University, Cardiff, UK.
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33
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Wang Z, Meng L, Shen L, Ji HF. Impact of modifiable risk factors on Alzheimer's disease: A two-sample Mendelian randomization study. Neurobiol Aging 2020; 91:167.e11-167.e19. [PMID: 32204957 DOI: 10.1016/j.neurobiolaging.2020.02.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 02/06/2020] [Accepted: 02/19/2020] [Indexed: 01/13/2023]
Abstract
With the steadily increasing prevalence of Alzheimer's disease (AD) and great difficulties encountered for AD drug development presently, much interest has been devoted to identifying modifiable risk factors to lower the risk of AD, while the causal associations between risk factors and AD remain inconclusive. The present study conducted a comprehensive evaluation of the causal associations between risk factors and AD development by taking the recent advancements of Mendelian randomization (MR). Inverse variance weighted (IVW), MR-Egger, weighted median, and weighted mode were used for complementary calculation. A total of 45 risk factors and corresponding studies were covered in the study. This two-sample MR (2SMR) analysis provided a suggestive association between genetically predicted higher years of schooling and reduced risks of AD, and each standard deviation (3.71 years) increased in years of schooling was associated with a 41% reduction in the risk of AD (IVW, OR: 0.59, 95% CI: 0.45-0.77). At the same time, it was genetically predicted that urate might be a risk factor in AD, and it was found that each standard deviation increase in urate levels (1.33 mg/dL) was associated with a 0.09-fold increase in the risk of AD (IVW, OR: 1.09, 95% CI: 1.01-1.18). To summarize, the 2SMR analysis indicated a suggestive association between genetically predicted higher years of schooling and reduced risks of AD, and between genetically predicted higher urate levels and increased risks of AD. The findings provide useful clues to help combat AD and warrants future studies.
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Affiliation(s)
- Zhe Wang
- Institute of Biomedical Research, Shandong University of Technology, Zibo, Shandong, China; Shandong Provincial Research Center for Bioinformatic Engineering and Technique, Zibo Key Laboratory of New Drug Development of Neurodegenerative Diseases, School of Life Sciences, Shandong University of Technology, Zibo, Shandong, China
| | - Lei Meng
- Institute of Biomedical Research, Shandong University of Technology, Zibo, Shandong, China; Shandong Provincial Research Center for Bioinformatic Engineering and Technique, Zibo Key Laboratory of New Drug Development of Neurodegenerative Diseases, School of Life Sciences, Shandong University of Technology, Zibo, Shandong, China
| | - Liang Shen
- Institute of Biomedical Research, Shandong University of Technology, Zibo, Shandong, China; Shandong Provincial Research Center for Bioinformatic Engineering and Technique, Zibo Key Laboratory of New Drug Development of Neurodegenerative Diseases, School of Life Sciences, Shandong University of Technology, Zibo, Shandong, China.
| | - Hong-Fang Ji
- Institute of Biomedical Research, Shandong University of Technology, Zibo, Shandong, China; Shandong Provincial Research Center for Bioinformatic Engineering and Technique, Zibo Key Laboratory of New Drug Development of Neurodegenerative Diseases, School of Life Sciences, Shandong University of Technology, Zibo, Shandong, China.
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34
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Systems biology and bioinformatics approach to identify gene signatures, pathways and therapeutic targets of Alzheimer's disease. INFORMATICS IN MEDICINE UNLOCKED 2020. [DOI: 10.1016/j.imu.2020.100439] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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35
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Helios modulates the maturation of a CA1 neuronal subpopulation required for spatial memory formation. Exp Neurol 2019; 323:113095. [PMID: 31712124 DOI: 10.1016/j.expneurol.2019.113095] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 10/17/2019] [Accepted: 10/29/2019] [Indexed: 01/05/2023]
Abstract
Currently, molecular, electrophysiological and structural studies delineate several neural subtypes in the hippocampus. However, the precise developmental mechanisms that lead to this diversity are still unknown. Here we show that alterations in a concrete hippocampal neuronal subpopulation during development specifically affect hippocampal-dependent spatial memory. We observed that the genetic deletion of the transcription factor Helios in mice, which is specifically expressed in developing hippocampal calbindin-positive CA1 pyramidal neurons (CB-CA1-PNs), induces adult alterations affecting spatial memory. In the same mice, CA3-CA1 synaptic plasticity and spine density and morphology in adult CB-CA1-PNs were severely compromised. RNAseq experiments in developing hippocampus identified an aberrant increase on the Visinin-like protein 1 (VSNL1) expression in the hippocampi devoid of Helios. This aberrant increase on VSNL1 levels was localized in the CB-CA1-PNs. Normalization of VSNL1 levels in CB-CA1-PNs devoid of Helios rescued their spine loss in vitro. Our study identifies a novel and specific developmental molecular pathway involved in the maturation and function of a CA1 pyramidal neuronal subtype.
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36
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Wishart DS. Metabolomics for Investigating Physiological and Pathophysiological Processes. Physiol Rev 2019; 99:1819-1875. [PMID: 31434538 DOI: 10.1152/physrev.00035.2018] [Citation(s) in RCA: 498] [Impact Index Per Article: 99.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Metabolomics uses advanced analytical chemistry techniques to enable the high-throughput characterization of metabolites from cells, organs, tissues, or biofluids. The rapid growth in metabolomics is leading to a renewed interest in metabolism and the role that small molecule metabolites play in many biological processes. As a result, traditional views of metabolites as being simply the "bricks and mortar" of cells or just the fuel for cellular energetics are being upended. Indeed, metabolites appear to have much more varied and far more important roles as signaling molecules, immune modulators, endogenous toxins, and environmental sensors. This review explores how metabolomics is yielding important new insights into a number of important biological and physiological processes. In particular, a major focus is on illustrating how metabolomics and discoveries made through metabolomics are improving our understanding of both normal physiology and the pathophysiology of many diseases. These discoveries are yielding new insights into how metabolites influence organ function, immune function, nutrient sensing, and gut physiology. Collectively, this work is leading to a much more unified and system-wide perspective of biology wherein metabolites, proteins, and genes are understood to interact synergistically to modify the actions and functions of organelles, organs, and organisms.
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Affiliation(s)
- David S Wishart
- Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, Alberta, Canada
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37
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Mandal AK, Mount DB. Interaction Between ITM2B and GLUT9 Links Urate Transport to Neurodegenerative Disorders. Front Physiol 2019; 10:1323. [PMID: 31695625 PMCID: PMC6818471 DOI: 10.3389/fphys.2019.01323] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 10/03/2019] [Indexed: 11/13/2022] Open
Abstract
Hyperuricemia plays a critical causative role in gout. In contrast, hyperuricemia has a protective effect in neurodegenerative disorders, including Alzheimer's Disease. Genetic variation in the SLC2A9 gene, encoding the urate transporter GLUT9, exerts the largest single-gene effect on serum uric acid (SUA). We report here the identification of two GLUT9-interacting proteins, integral membrane protein 2B (ITM2B) and transmembrane protein 85 (TMEM85), isolated from a human kidney cDNA library using the dual-membrane yeast two-hybrid system. ITM2B is a ubiquitously expressed, N-glycosylated transmembrane regulatory protein, involved in familial dementias and retinal dystrophy; the function of TMEM85 is less defined. Using coimmunoprecipitation, we confirmed the physical interaction between ITM2B or TMEM85 and N-terminal GLUT9 isoforms (GLUT9a and GLUT9b) in transfected HEK 293T cells and Xenopus oocytes, wherein ITM2B but not TMEM85 inhibited GLUT9-mediated urate uptake. Additionally, co-expression of ITM2B with GLUT9 in oocytes inhibited N-glycosylation of GLUT9a more than GLUT9b and stimulated urate efflux by both isoforms. However, urate uptake by N-glycosylation and N-terminal deletion GLUT9 mutants was efficiently inhibited by ITM2B, indicating that neither N-glycosylation nor the N terminus is necessary for functional interaction of GLUT9 with ITM2B. Notably, ITM2B variants linked to familial Danish dementia and retinal dystrophy significantly attenuated the inhibition of GLUT9-mediated urate influx. We propose ITM2B as a potential regulatory link between urate homeostasis and neurodegenerative disorders.
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Affiliation(s)
- Asim K. Mandal
- Renal Divisions, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - David B. Mount
- Renal Divisions, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- VA Boston Healthcare System, Boston, MA, United States
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38
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Creese B, Vassos E, Bergh S, Athanasiu L, Johar I, Rongve A, Medbøen IT, Vasconcelos Da Silva M, Aakhus E, Andersen F, Bettella F, Braekhus A, Djurovic S, Paroni G, Proitsi P, Saltvedt I, Seripa D, Stordal E, Fladby T, Aarsland D, Andreassen OA, Ballard C, Selbaek G. Examining the association between genetic liability for schizophrenia and psychotic symptoms in Alzheimer's disease. Transl Psychiatry 2019; 9:273. [PMID: 31641104 PMCID: PMC6805870 DOI: 10.1038/s41398-019-0592-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 09/06/2019] [Accepted: 09/23/2019] [Indexed: 01/09/2023] Open
Abstract
Psychosis (delusions or hallucinations) in Alzheimer's disease (AD + P) occurs in up to 50% of individuals and is associated with significantly worse clinical outcomes. Atypical antipsychotics, first developed for schizophrenia, are commonly used in AD + P, suggesting shared mechanisms. Despite this implication, little empirical research has been conducted to examine whether there are mechanistic similarities between AD + P and schizophrenia. In this study, we tested whether polygenic risk score (PRS) for schizophrenia was associated with AD + P. Schizophrenia PRS was calculated using Psychiatric Genomics Consortium data at ten GWAS p value thresholds (PT) in 3111 AD cases from 11 cohort studies characterized for psychosis using validated, standardized tools. Association between PRS and AD + P status was tested by logistic regression in each cohort individually and the results meta-analyzed. The schizophrenia PRS was associated with AD + P at an optimum PT of 0.01. The strongest association was for delusions where a one standard deviation increase in PRS was associated with a 1.18-fold increased risk (95% CI: 1.06-1.3; p = 0.001). These new findings point towards psychosis in AD-and particularly delusions-sharing some genetic liability with schizophrenia and support a transdiagnostic view of psychotic symptoms across the lifespan.
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Affiliation(s)
- Byron Creese
- University of Exeter Medical School, Exeter, UK.
- Norwegian, Exeter and King's College Consortium for Genetics of Neuropsychiatric Symptoms in Dementia, Exeter, UK.
| | - Evangelos Vassos
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sverre Bergh
- Norwegian, Exeter and King's College Consortium for Genetics of Neuropsychiatric Symptoms in Dementia, Exeter, UK
- Research Centre of Age-Related Functional Decline and Disease, Innlandet Hospital Trust, Pb 68, 2312, Ottestad, Norway
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
| | - Lavinia Athanasiu
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Iskandar Johar
- Norwegian, Exeter and King's College Consortium for Genetics of Neuropsychiatric Symptoms in Dementia, Exeter, UK
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Arvid Rongve
- Norwegian, Exeter and King's College Consortium for Genetics of Neuropsychiatric Symptoms in Dementia, Exeter, UK
- Department of Research and Innovation, Helse Fonna, Haugesund, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Ingrid Tøndel Medbøen
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Miguel Vasconcelos Da Silva
- University of Exeter Medical School, Exeter, UK
- Norwegian, Exeter and King's College Consortium for Genetics of Neuropsychiatric Symptoms in Dementia, Exeter, UK
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Eivind Aakhus
- Research Centre of Age-Related Functional Decline and Disease, Innlandet Hospital Trust, Pb 68, 2312, Ottestad, Norway
| | - Fred Andersen
- Department of Community Medicine, University of Tromsø, Tromsø, Norway
| | - Francesco Bettella
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Anne Braekhus
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Srdjan Djurovic
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Giulia Paroni
- Complex Structure of Geriatrics, Department of Medical Sciences, Fondazione IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy
| | - Petroula Proitsi
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ingvild Saltvedt
- Geriatric Department, St. Olav Hospital, University Hospital of Trondheim, Trondheim, Norway
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Davide Seripa
- Complex Structure of Geriatrics, Department of Medical Sciences, Fondazione IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, FG, Italy
| | - Eystein Stordal
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Psychiatry, Namsos Hospital, Namsos, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
- Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Dag Aarsland
- Norwegian, Exeter and King's College Consortium for Genetics of Neuropsychiatric Symptoms in Dementia, Exeter, UK
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Ole A Andreassen
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Clive Ballard
- University of Exeter Medical School, Exeter, UK
- Norwegian, Exeter and King's College Consortium for Genetics of Neuropsychiatric Symptoms in Dementia, Exeter, UK
| | - Geir Selbaek
- Norwegian, Exeter and King's College Consortium for Genetics of Neuropsychiatric Symptoms in Dementia, Exeter, UK
- Research Centre of Age-Related Functional Decline and Disease, Innlandet Hospital Trust, Pb 68, 2312, Ottestad, Norway
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
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39
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Giuliani C, Sazzini M, Pirazzini C, Bacalini MG, Marasco E, Ruscone GAG, Fang F, Sarno S, Gentilini D, Di Blasio AM, Crocco P, Passarino G, Mari D, Monti D, Nacmias B, Sorbi S, Salvarani C, Catanoso M, Pettener D, Luiselli D, Ukraintseva S, Yashin A, Franceschi C, Garagnani P. Impact of demography and population dynamics on the genetic architecture of human longevity. Aging (Albany NY) 2019; 10:1947-1963. [PMID: 30089705 PMCID: PMC6128422 DOI: 10.18632/aging.101515] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 07/26/2018] [Indexed: 02/07/2023]
Abstract
The study of the genetics of longevity has been mainly addressed by GWASs that considered subjects from different populations to reach higher statistical power. The "price to pay" is that population-specific evolutionary histories and trade-offs were neglected in the investigation of gene-environment interactions. We propose a new “diachronic” approach that considers processes occurred at both evolutionary and lifespan timescales. We focused on a well-characterized population in terms of evolutionary history (i.e. Italians) and we generated genome-wide data for 333 centenarians from the peninsula and 773 geographically-matched healthy individuals. Obtained results showed that: (i) centenarian genomes are enriched for an ancestral component likely shaped by pre-Neolithic migrations; (ii) centenarians born in Northern Italy unexpectedly clustered with controls from Central/Southern Italy suggesting that Neolithic and Bronze Age gene flow did not favor longevity in this population; (iii) local past adaptive events in response to pathogens and targeting arachidonic acid metabolism became favorable for longevity; (iv) lifelong changes in the frequency of several alleles revealed pleiotropy and trade-off mechanisms crucial for longevity. Therefore, we propose that demographic history and ancient/recent population dynamics need to be properly considered to identify genes involved in longevity, which can differ in different temporal/spatial settings.
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Affiliation(s)
- Cristina Giuliani
- Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, Bologna, Italy.,School of Anthropology and Museum Ethnography, University of Oxford, Oxford, UK.,Interdepartmental Center "L. Galvani," (CIG), University of Bologna, Bologna, Italy
| | - Marco Sazzini
- Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Chiara Pirazzini
- IRCCS, Institute of Neurological Sciences of Bologna, Bologna, Italy
| | | | - Elena Marasco
- Interdepartmental Center "L. Galvani," (CIG), University of Bologna, Bologna, Italy.,Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.,Applied Biomedical Research Center (CRBA), S. Orsola-Malpighi Polyclinic, Bologna, Italy
| | - Guido Alberto Gnecchi Ruscone
- Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Fang Fang
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Stefania Sarno
- Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Davide Gentilini
- Istituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy
| | | | - Paolina Crocco
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Giuseppe Passarino
- Department of Biology, Ecology and Earth Sciences, University of Calabria, Rende, Italy
| | - Daniela Mari
- Geriatric Unit, Department of Medical Sciences and Community Health, Milan, Italy.,Fondazione Ca' Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.,IRCCS Don Gnocchi, Florence, Italy
| | - Carlo Salvarani
- Azienda Ospedaliera-IRCCS, Reggio Emilia, Italy.,Department of Surgical, Medical, Dental and Morphological Sciences with Interest Transplant, Oncological and Regenerative Medicine, , Italy
| | | | - Davide Pettener
- Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology, University of Bologna, Bologna, Italy
| | - Donata Luiselli
- Department for the Cultural Heritage (DBC), University of Bologna, Ravenna, Italy
| | - Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Anatoliy Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27708, USA
| | - Claudio Franceschi
- IRCCS, Institute of Neurological Sciences of Bologna, Bologna, Italy.,Co-senior authors
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.,Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, S-141 86 Stockholm, Sweden.,CNR Institute of Molecular Genetics, Unit of Bologna, Bologna, Italy.,Rizzoli Orthopaedic Institute, Laboratory of Cell Biology, Bologna, Italy.,Co-senior authors
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40
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Tsuang DW, Greenwood TA, Jayadev S, Davis M, Shutes-David A, Bird TD. A Genetic Study of Psychosis in Huntington's Disease: Evidence for the Involvement of Glutamate Signaling Pathways. J Huntingtons Dis 2019; 7:51-59. [PMID: 29480208 DOI: 10.3233/jhd-170277] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Psychotic symptoms of delusions and hallucinations occur in about 5% of persons with Huntington's disease (HD). The mechanisms underlying these occurrences are unknown, but the same symptoms also occur in schizophrenia, and thus genetic risk factors for schizophrenia may be relevant to the development of psychosis in HD. OBJECTIVE To investigate the possible role of genes associated with schizophrenia in the occurrence of psychotic symptoms in HD. METHODS DNA from subjects with HD and psychosis (HD+P; n = 47), subjects with HD and no psychosis (HD-P; n = 126), and controls (CTLs; n = 207) was genotyped using the Infinium PsychArray-24 v1.1 BeadChip. The allele frequencies of single-nucleotide polymorphisms (SNPs) that were previously associated with schizophrenia and related psychiatric disorders were compared between these groups. RESULTS Of the 30 candidate genes tested, 10 showed an association with psychosis in HD. The majority of these genes, including CTNNA2, DRD2, ERBB4, GRID2, GRIK4, GRM1, NRG1, PCNT, RELN, and SLC1A2, demonstrate network interactions related to glutamate signaling. CONCLUSIONS This study suggests genetic associations between several previously identified candidate genes for schizophrenia and the occurrence of psychotic symptoms in HD. These data support the potential role of genes related to glutamate signaling in HD psychosis.
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Affiliation(s)
- Debby W Tsuang
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.,Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.,Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - Tiffany A Greenwood
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Marie Davis
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.,Department of Neurology, University of Washington, Seattle, WA, USA
| | - Andrew Shutes-David
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.,Mental Illness Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Thomas D Bird
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA.,Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA.,Department of Neurology, University of Washington, Seattle, WA, USA
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41
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Chakraborty S, Lennon JC, Malkaram SA, Zeng Y, Fisher DW, Dong H. Serotonergic system, cognition, and BPSD in Alzheimer's disease. Neurosci Lett 2019; 704:36-44. [PMID: 30946928 DOI: 10.1016/j.neulet.2019.03.050] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 03/26/2019] [Accepted: 03/27/2019] [Indexed: 12/20/2022]
Abstract
Behavioral and Psychological Symptoms of Dementia (BPSD), present in almost 90% of patients with Alzheimer's Disease (AD), cause extensive impairment leading to reduced independence and inability to complete activities of daily living. Though BPSD includes a wide range of symptoms, such as agitation, aggression, disinhibition, anxiety, depression, apathy, delusions, and hallucinations. Certain BPSD in AD co-present and can be clustered into distinct domains based on their frequency of co-occurrence. As these BPSD are so pervasive in any stages of AD, the disease may be better characterized as a disorder of heterogeneous degenerative symptoms across a number of symptom domains, with the most prominent domain comprising memory and cognitive deficits. Importantly, there are no FDA-approved drugs to treat these BPSD, and new approaches must be considered to develop effective treatments for AD patients. The biogenic monoamine 5-hydroxytryptamine (5-HT), or serotonin, works as both a neurotransmitter and neuromodulator, which has been tied to cognitive decline and multiple BPSD domains. This review summarizes the evidence for specific serotonergic system alterations across some of the well-studied cognitive, behavioral, and psychiatric domains. Though differences in overall serotonergic transmission occur in AD, circuit-specific alterations in individual 5-HT receptors (5-HTRs) are likely linked to the heterogeneous presentation of BPSD in AD.
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Affiliation(s)
- Saikat Chakraborty
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Chicago, IL, 60611, USA
| | - Jack C Lennon
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Chicago, IL, 60611, USA
| | - Sridhar A Malkaram
- Department of Biology, West Virginia State University Institute, WV-25112, USA
| | - Yan Zeng
- Brain and Cognition Research Institute, Wuhan University of Science and Technology, China
| | - Daniel W Fisher
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Chicago, IL, 60611, USA
| | - Hongxin Dong
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Chicago, IL, 60611, USA.
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Apolipoprotein E-ε4 allele predicts escalation of psychotic symptoms in late adulthood. Schizophr Res 2019; 206:82-88. [PMID: 30584027 PMCID: PMC6525644 DOI: 10.1016/j.schres.2018.12.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 11/14/2018] [Accepted: 12/07/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND Research on a putative link between apolipoprotein-ε4 allele (APOE-ε4) and schizophrenia has been inconclusive. However, prior studies have not investigated the association between APOE-ε4 and symptom trajectories, nor has the existing literature taken into account the potentially moderating effect of age in genetic association studies. METHODS The association between APOE-ε4 and four symptom dimensions was investigated in a longitudinal study of 116 individuals with schizophrenia initially assessed during their first admission for psychosis and evaluated five times over the following 20years. A meta-analysis identified 29 case-control studies of APOE-ε4 allele frequency in schizophrenia, which were analyzed using random-effects meta-regression to test the potentially moderating effect of age. RESULTS Longitudinal models identified a specific association between APOE-ε4 and symptom trajectories, showing that APOE-ε4 portends worsening severity of hallucinations and delusions in late adulthood among people with schizophrenia, at a rate of a 0.46 standard deviation increase per decade. Meta-analysis showed a significant effect of age: the association between APOE-ε4 and schizophrenia was not detectable in younger people but became pronounced with age, such that APOE-ε4 increased the odds of diagnosis by 10% per decade. CONCLUSIONS Taken together, the meta-analysis and longitudinal analysis implicate APOE-ε4 as an age-related risk factor for worsening hallucinations and delusions, and suggest APOE-ε4 may play an age-mediated pathophysiological role in schizophrenia. The presence of an APOE-ε4 allele may also identify a subgroup of patients who require intensive monitoring and additional targeted interventions, especially in mid-to late-life.
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Abstract
After more than 10 years of accumulated efforts, genome-wide association studies (GWAS) have led to many findings, most of which have been deposited into the GWAS Catalog. Between GWAS's inception and March 2017, the GWAS Catalog has collected 2429 studies, 1818 phenotypes, and 28,462 associated SNPs. We reclassified the psychology-related phenotypes into 217 reclassified phenotypes, which accounted for 514 studies and 7052 SNPs. In total, 1223 of the SNPs reached genome-wide significance. Of these, 147 were replicated for the same psychological trait in different studies. Another 305 SNPs were replicated within one original study. The SNPs rs2075650 and rs4420638 were linked to the most replications within a single reclassified phenotype or very similar reclassified phenotypes; both were associated with Alzheimer's disease (AD). Schizophrenia was associated with 74 within-phenotype SNPs reported in independents studies. Alzheimer's disease and schizophrenia were both linked to some physical phenotypes, including cholesterol and body mass index, through common GWAS signals. Alzheimer's disease also shared risk SNPs with age-related phenotypes such as age-related macular degeneration and longevity. Smoking-related SNPs were linked to lung cancer and respiratory function. Alcohol-related SNPs were associated with cardiovascular and digestive system phenotypes and disorders. Two separate studies also identified a shared risk SNP for bipolar disorder and educational attainment. This review revealed a list of reproducible SNPs worthy of future functional investigation. Additionally, by identifying SNPs associated with multiple phenotypes, we illustrated the importance of studying the relationships among phenotypes to resolve the nature of their causal links. The insights within this review will hopefully pave the way for future evidence-based genetic studies.
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44
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Ma J, Chen L, He XX, Wang YJ, Yu HL, He ZX, Zhang LQ, Zheng YW, Zhu XJ. Functional prediction and characterization of Dip2 gene in mice. Cell Biol Int 2019; 43:421-428. [PMID: 30672040 DOI: 10.1002/cbin.11106] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 01/19/2019] [Indexed: 02/05/2023]
Abstract
Disconnected interacting protein 2 (DIP2) is a highly conserved protein family among invertebrates and vertebrates, but its function remains unclear. In this paper, we summarized the conservation of gene sequences and protein domains of DIP2 family members and predicted that they may have a similar functional role in acetyl-coenzyme A (acetyl-CoA) synthesis. We then used the most characterized member, disconnected interacting protein 2 homolog A (DIP2A), for further study. DIP2A is a cytoplasmic protein that is preferentially localized to mitochondria, and its acetyl-CoA synthetase activity has been demonstrated in vitro. Furthermore, the level of acetyl-CoA in HEK293 cells overexpressing DIP2A was increased, which is consistent with its metabolically related function. Together, these data enrich the evolutionary and functional characterization of dip2 genes and provide significant insights into the identification and application of other homologs of DIP2.
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Affiliation(s)
- Jun Ma
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun, 130021, China
| | - Li Chen
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun, 130021, China
| | - Xiao-Xiao He
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun, 130021, China
| | - Ya-Jun Wang
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun, 130021, China
| | - Hua-Li Yu
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun, 130021, China
| | - Zi-Xuan He
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun, 130021, China
| | - Lu-Qing Zhang
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun, 130021, China
| | - Yao-Wu Zheng
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun, 130021, China
| | - Xiao-Juan Zhu
- Key Laboratory of Molecular Epigenetics, Institute of Genetics and Cytology, Northeast Normal University, Changchun, 130021, China
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45
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Nazarian A, Yashin AI, Kulminski AM. Genome-wide analysis of genetic predisposition to Alzheimer's disease and related sex disparities. ALZHEIMERS RESEARCH & THERAPY 2019; 11:5. [PMID: 30636644 PMCID: PMC6330399 DOI: 10.1186/s13195-018-0458-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 12/06/2018] [Indexed: 12/21/2022]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common cause of dementia in the elderly and the sixth leading cause of death in the United States. AD is mainly considered a complex disorder with polygenic inheritance. Despite discovering many susceptibility loci, a major proportion of AD genetic variance remains to be explained. METHODS We investigated the genetic architecture of AD in four publicly available independent datasets through genome-wide association, transcriptome-wide association, and gene-based and pathway-based analyses. To explore differences in the genetic basis of AD between males and females, analyses were performed on three samples in each dataset: males and females combined, only males, or only females. RESULTS Our genome-wide association analyses corroborated the associations of several previously detected AD loci and revealed novel significant associations of 35 single-nucleotide polymorphisms (SNPs) outside the chromosome 19q13 region at the suggestive significance level of p < 5E-06. These SNPs were mapped to 21 genes in 19 chromosomal regions. Of these, 17 genes were not associated with AD at genome-wide or suggestive levels of associations by previous genome-wide association studies. Also, the chromosomal regions corresponding to 8 genes did not contain any previously detected AD-associated SNPs with p < 5E-06. Our transcriptome-wide association and gene-based analyses revealed that 26 genes located in 20 chromosomal regions outside chromosome 19q13 had evidence of potential associations with AD at a false discovery rate of 0.05. Of these, 13 genes/regions did not contain any previously AD-associated SNPs at genome-wide or suggestive levels of associations. Most of the newly detected AD-associated SNPs and genes were sex specific, indicating sex disparities in the genetic basis of AD. Also, 7 of 26 pathways that showed evidence of associations with AD in our pathway-bases analyses were significant only in females. CONCLUSIONS Our findings, particularly the newly discovered sex-specific genetic contributors, provide novel insight into the genetic architecture of AD and can advance our understanding of its pathogenesis.
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Affiliation(s)
- Alireza Nazarian
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St., Durham, NC, 27705, USA.
| | - Anatoliy I Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St., Durham, NC, 27705, USA
| | - Alexander M Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St., Durham, NC, 27705, USA.
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46
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Ziegler-Waldkirch S, Meyer-Luehmann M. The Role of Glial Cells and Synapse Loss in Mouse Models of Alzheimer's Disease. Front Cell Neurosci 2018; 12:473. [PMID: 30618627 PMCID: PMC6297249 DOI: 10.3389/fncel.2018.00473] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 11/20/2018] [Indexed: 11/13/2022] Open
Abstract
Synapse loss has detrimental effects on cellular communication, leading to network disruptions within the central nervous system (CNS) such as in Alzheimer’s disease (AD). AD is characterized by a progressive decline of memory function, cognition, neuronal and synapse loss. The two main neuropathological hallmarks are amyloid-β (Aβ) plaques and neurofibrillary tangles. In the brain of AD patients and in mouse models of AD several morphological and functional changes, such as microgliosis and astrogliosis around Aβ plaques, as well as dendritic and synaptic alterations, are associated with these lesions. In this review article, we will summarize the current literature on synapse loss in mouse models of AD and discuss current and prospective treatments for AD.
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Affiliation(s)
- Stephanie Ziegler-Waldkirch
- Department of Neurology, Medical Center-University of Freiburg, Freiburg, Germany.,Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Melanie Meyer-Luehmann
- Department of Neurology, Medical Center-University of Freiburg, Freiburg, Germany.,Faculty of Medicine, University of Freiburg, Freiburg, Germany
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47
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Andrews SJ, Ismail Z, Anstey KJ, Mortby M. Association of Alzheimer's genetic loci with mild behavioral impairment. Am J Med Genet B Neuropsychiatr Genet 2018; 177:727-735. [PMID: 30378268 DOI: 10.1002/ajmg.b.32684] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Revised: 09/04/2018] [Accepted: 09/06/2018] [Indexed: 11/10/2022]
Abstract
Mild behavioral impairment (MBI) describes the emergence of later-life neuropsychiatric symptoms (NPS) as an at-risk state for incident cognitive decline and dementia, and for some as a potential manifestation of prodromal dementia. How NPS mechanistically link to the development of mild cognitive impairment and Alzheimer's disease (AD) is not fully understood, with potential mechanisms including shared risk factors related to both NPS and cognitive impairment, or AD pathology promoting NPS. This is the first exploratory study to examine whether AD genetic loci as a genetic risk score (GRS), or individually, are a shared risk factor with MBI. Participants were 1,226 older adults (aged 72-79; 738 males; 763 normal cognition) from the Personality and Total Health Through Life project. MBI was approximated in accordance with Criterion 1 of the ISTAART-AA diagnostic criteria using a transformation algorithm for the neuropsychiatric inventory. A GRS was constructed from 25 AD risk loci. Binomial logistic regression adjusting for age, gender, and education examined the association between GRS and MBI. A higher GRS and APOE*ε4 were associated with increased likelihood of affective dysregulation. Nominally significant associations were observed between MS4A4A-rs4938933*C and MS4A6A-rs610932*G with a reduced likelihood of affective dysregulation; ZCWPW1-rs1476679*C with a reduced likelihood of social inappropriateness and abnormal perception/thought content; BIN1-rs744373*G and EPHA1-rs11767557*C with higher likelihood of abnormal perception/thought content; NME8-rs2718058*G with a reduced likelihood of decreased motivation. These preliminary findings suggest a common genetic etiology between MBI and traditionally recognized cognitive problems observed in AD and improve our understanding of the pathophysiological features underlying MBI.
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Affiliation(s)
- Shea J Andrews
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York.,Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Zahinoor Ismail
- Department of Psychiatry, Mathison Centre for Mental Health Research & Education, Ron and Rene Centre for Healthy Brain Aging Research, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Ron and Rene Centre for Healthy Brain Aging Research, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Community Health Sciences, Mathison Centre for Mental Health Research & Education, Ron and Rene Centre for Healthy Brain Aging Research, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Kaarin J Anstey
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia.,Lifecourse Ageing Research Centre, Neuroscience Research Australia, Sydney, New South Wales, Australia.,Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Moyra Mortby
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia.,Lifecourse Ageing Research Centre, Neuroscience Research Australia, Sydney, New South Wales, Australia
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48
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Amber S, Zahid S. Data integration for functional annotation of regulatory single nucleotide polymorphisms associated with Alzheimer's disease susceptibility. Gene 2018; 672:115-125. [PMID: 29883757 DOI: 10.1016/j.gene.2018.06.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Revised: 05/30/2018] [Accepted: 06/04/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND Alzheimer's disease (AD), the most common form of dementia affects 24.3 million people worldwide. More than twenty genetic loci have been associated with AD and a significant number of genetic variants were mapped within these loci. A large proportion of genome wide significant variants lie outside the coding region. However, the plausible function of these variants is still unexplored. OBJECTIVE The present study aimed to unravel the regulatory role of proxy single nucleotide polymorphisms (SNPs), to determine their risk of developing AD. METHODS The RegulomeDB was employed to predict the regulatory role of proxy SNPs. Protein association network and functional enrichment analysis was performed using String10.5 and gene ontology, respectively. RESULTS A total of 451 SNPs were examined through SNAP web portal (r2 ≤ 0.80) which returned 2186 proxy SNPs in linkage disequilibrium (LD) with genome wide significant SNPs for AD. Out of 2186 SNPs analyzed in RegulomeDB, 151 had the scores < 3 that indicates the high degree of their potential regulatory function. Further analysis revealed that out of these 151 SNPs, 37 were genome wide significant for AD, 17 were significantly associated with diseases other than AD, 89 were proxy SNPs (not genome wide significant) for various diseases including AD while 8 SNPs were novel proxy SNPs for AD. CONCLUSION These findings support the notion that the non-coding variants can be strongly associated with disease risk. Further validation through genome wide association studies will be helpful for the elucidation of their regulatory potential.
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Affiliation(s)
- Sanila Amber
- Neurobiology Research Laboratory, Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan
| | - Saadia Zahid
- Neurobiology Research Laboratory, Department of Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.
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49
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DeMichele-Sweet MAA, Weamer EA, Klei L, Vrana DT, Hollingshead DJ, Seltman HJ, Sims R, Foroud T, Hernandez I, Moreno-Grau S, Tárraga L, Boada M, Ruiz A, Williams J, Mayeux R, Lopez OL, Sibille EL, Kamboh MI, Devlin B, Sweet RA. Genetic risk for schizophrenia and psychosis in Alzheimer disease. Mol Psychiatry 2018; 23:963-972. [PMID: 28461698 PMCID: PMC5668212 DOI: 10.1038/mp.2017.81] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 02/23/2017] [Accepted: 02/24/2017] [Indexed: 12/29/2022]
Abstract
Psychotic symptoms, defined as the occurrence of delusions or hallucinations, are frequent in Alzheimer disease (AD), affecting ~40 to 60% of individuals with AD (AD with psychosis (AD+P)). In comparison with AD subjects without psychosis, AD+P subjects have more rapid cognitive decline and poor outcomes. Prior studies have estimated the heritability of psychosis in AD at 61%, but the underlying genetic sources of this risk are not known. We evaluated a Discovery Cohort of 2876 AD subjects with (N=1761) or without psychosis (N=1115). All subjects were genotyped using a custom genotyping array designed to evaluate single-nucleotide polymorphisms (SNPs) with evidence of genetic association with AD+P and include SNPs affecting or putatively affecting risk for schizophrenia and AD. Results were replicated in an independent cohort of 2194 AD subjects with (N=734) or without psychosis (N=1460). We found that AD+P is associated with polygenic risk for a set of novel loci and inversely associated with polygenic risk for schizophrenia. Among the biologic pathways identified by the associations of schizophrenia SNPs with AD+P are endosomal trafficking, autophagy and calcium channel signaling. To the best of our knowledge, these findings provide the first clear demonstration that AD+P is associated with common genetic variation. In addition, they provide an unbiased link between polygenic risk for schizophrenia and a lower risk of psychosis in AD. This provides an opportunity to leverage progress made in identifying the biologic effects of schizophrenia alleles to identify novel mechanisms protecting against more rapid cognitive decline and psychosis risk in AD.
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Affiliation(s)
| | - Elise A. Weamer
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA
| | - Lambertus Klei
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Dylan T. Vrana
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA
| | - Deborah J. Hollingshead
- Genomics Research Core of the Health Sciences Core Research Facilities, University of Pittsburgh, Pittsburgh, PA
| | - Howard J. Seltman
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Tatiana Foroud
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Isabel Hernandez
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Sonia Moreno-Grau
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Lluís Tárraga
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Mercè Boada
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Agustin Ruiz
- Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Julie Williams
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - Richard Mayeux
- Departments of Neurology, Psychiatry and Epidemiology, Columbia University, New York, NY
| | - Oscar L. Lopez
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA
| | - Etienne L. Sibille
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
- Departments of Psychiatry and of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada; Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
| | - M. Ilyas Kamboh
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
| | - Robert A. Sweet
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA
- VISN 4 Mental Illness Research, Education and Clinical Center (MIRECC) VA Pittsburgh Healthcare System, Pittsburgh, PA
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50
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Xu W, Fang F, Ding J, Wu C. Dysregulation of Rab5-mediated endocytic pathways in Alzheimer's disease. Traffic 2018; 19:253-262. [PMID: 29314494 PMCID: PMC5869093 DOI: 10.1111/tra.12547] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 12/29/2017] [Accepted: 12/29/2017] [Indexed: 12/17/2022]
Abstract
Increasing evidence has pointed to that dysregulation of the endo-lysosomal system is an early cellular phenotype of pathogenesis for Alzheimer's disease (AD). Rab5, a small GTPase, plays a critical role in mediating these processes. Abnormal overactivation of Rab5 has been observed in post-mortem brain samples of Alzheimer's patients as well as brain samples of mouse models of AD. Recent genome-wide association studies of AD have identified RIN3 (Ras and Rab interactor 3) as a novel risk factor for the disease. RIN3 that functions as a guanine nucleotide exchange factor for Rab5 may serve as an important activator for Rab5 in AD pathogenesis. In this review, we present recent research highlights on the possible roles of dysregulation of Rab5-mediated endocytic pathways in contributing to early pathogenesis of AD.
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Affiliation(s)
- Wei Xu
- Institute of Neurology and Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Fang Fang
- Institute of Neurology and Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Jianqing Ding
- Institute of Neurology and Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chengbiao Wu
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
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