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Park G, Kadyan S, Hochuli N, Pollak J, Wang B, Salazar G, Chakrabarty P, Efron P, Sheffler J, Nagpal R. A modified Mediterranean-style diet enhances brain function via specific gut-microbiome-brain mechanisms. Gut Microbes 2024; 16:2323752. [PMID: 38444392 PMCID: PMC10936641 DOI: 10.1080/19490976.2024.2323752] [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: 09/08/2023] [Accepted: 02/22/2024] [Indexed: 03/07/2024] Open
Abstract
Alzheimer's disease (AD) is a debilitating brain disorder with rapidly mounting prevalence worldwide, yet no proven AD cure has been discovered. Using a multi-omics approach in a transgenic AD mouse model, the current study demonstrated the efficacy of a modified Mediterranean-ketogenic diet (MkD) on AD-related neurocognitive pathophysiology and underlying mechanisms related to the gut-microbiome-brain axis. The findings revealed that MkD induces profound shifts in the gut microbiome community and microbial metabolites. Most notably, MkD promoted growth of the Lactobacillus population, resulting in increased bacteria-derived lactate production. We discovered elevated levels of microbiome- and diet-derived metabolites in the serum as well, signaling their influence on the brain. Importantly, these changes in serum metabolites upregulated specific receptors that have neuroprotective effects and induced alternations in neuroinflammatory-associated pathway profiles in hippocampus. Additionally, these metabolites displayed strong favorable co-regulation relationship with gut-brain integrity and inflammatory markers, as well as neurobehavioral outcomes. The findings underscore the ameliorative effects of MkD on AD-related neurological function and the underlying gut-brain communication via modulation of the gut microbiome-metabolome arrays.
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Affiliation(s)
- Gwoncheol Park
- The Gut Biome Lab, Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Science, Florida State University, Tallahassee, FL, USA
- Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Science, Florida State University, Tallahassee, FL, USA
| | - Saurabh Kadyan
- The Gut Biome Lab, Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Science, Florida State University, Tallahassee, FL, USA
- Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Science, Florida State University, Tallahassee, FL, USA
| | - Nathaniel Hochuli
- The Gut Biome Lab, Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Science, Florida State University, Tallahassee, FL, USA
- Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Science, Florida State University, Tallahassee, FL, USA
| | - Julie Pollak
- Department of Chemistry and Chemical Engineering, Florida Institute of Technology, Melbourne, FL, USA
| | - Bo Wang
- Department of Chemistry and Chemical Engineering, Florida Institute of Technology, Melbourne, FL, USA
| | - Gloria Salazar
- Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Science, Florida State University, Tallahassee, FL, USA
| | - Paramita Chakrabarty
- Center for Translational Research in Neurodegenerative Diseases, Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Philip Efron
- Sepsis and Critical Illness Research Center, Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA
| | - Julia Sheffler
- Center for Translational Behavioral Science, Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA
| | - Ravinder Nagpal
- The Gut Biome Lab, Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Science, Florida State University, Tallahassee, FL, USA
- Department of Health, Nutrition, and Food Sciences, College of Education, Health, and Human Science, Florida State University, Tallahassee, FL, USA
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Chen M, Wang F, Lei H, Yang Z, Li C. In Silico Insights into Micro-Mechanism Understanding of Extracts of Taxus Chinensis Fruits Against Alzheimer's Disease. J Alzheimers Dis 2024; 97:727-740. [PMID: 38217605 DOI: 10.3233/jad-231066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2024]
Abstract
BACKGROUND The taxus chinensis fruit (TCF) shows promises in treatment of aging-related diseases such as Alzheimer's disease (AD). However, its related constituents and targets against AD have not been deciphered. OBJECTIVE This study was to uncover constituents and targets of TCF extracts against AD. METHODS An integrated approach including ultrasound extractions and constituent identification of TCF by UPLC-QE-MS/MS, target identification of constituents and AD by R data-mining from Pubchem, Drugbank and GEO databases, network construction, molecular docking and the ROC curve analysis was carried out. RESULTS We identified 250 compounds in TCF extracts, and obtained 3,231 known constituent targets and 5,326 differential expression genes of AD, and 988 intersection genes. Through the network construction and KEGG pathway analysis, 19 chemicals, 31 targets, and 11 biological pathways were obtained as core compounds, targets and pathways of TCF extracts against AD. Among these constituents, luteolin, oleic acid, gallic acid, baicalein, naringenin, lovastatin and rutin had obvious anti-AD effect. Molecular docking results further confirmed above results. The ROC AUC values of about 87% of these core targets of TCF extracts was greater than 0.5 in the two GEO chips of AD, especially 10 targets with ROC AUC values greater than 0.7, such as BCL2, CASP7, NFKBIA, HMOX1, CDK2, LDLR, RELA, and CCL2, which mainly referred to neuron apoptosis, response to oxidative stress and inflammation, fibroblast proliferation, etc.Conclusions:The TCF extracts have diverse active compounds that can act on the diagnostic genes of AD, which deserve further in-depth study.
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Affiliation(s)
- Meimei Chen
- College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
- Fujian Key Laboratory of TCM Health Status Identification, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Fengzhen Wang
- Certification Center for Chinese Physicians, State Administration of Traditional Chinese Medicine, Beijing, Beijing, China
| | - Huangwei Lei
- College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
- Fujian Key Laboratory of TCM Health Status Identification, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Zhaoyang Yang
- College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
- Fujian Key Laboratory of TCM Health Status Identification, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Candong Li
- College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
- Fujian Key Laboratory of TCM Health Status Identification, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
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Caraci F, Fidilio A, Santangelo R, Caruso G, Giuffrida ML, Tomasello MF, Nicoletti F, Copani A. Molecular Connections between DNA Replication and Cell Death in β-Amyloid-Treated Neurons. Curr Neuropharmacol 2023; 21:2006-2018. [PMID: 37021419 PMCID: PMC10514525 DOI: 10.2174/1570159x21666230404121903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/18/2022] [Accepted: 10/20/2022] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND Ectopic cell cycle reactivation in neurons is associated with neuronal death in Alzheimer's disease. In cultured rodent neurons, synthetic β-amyloid (Aβ) reproduces the neuronal cell cycle re-entry observed in the Alzheimer's brain, and blockade of the cycle prevents Aβ-induced neurodegeneration. DNA polymerase-β, whose expression is induced by Aβ, is responsible for the DNA replication process that ultimately leads to neuronal death, but the molecular mechanism(s) linking DNA replication to neuronal apoptosis are presently unknown. AIM To explore the role of a conserved checkpoint pathway started by DNA replication stress, namely the ATM-ATR/Claspin/Chk-1 pathway, in switching the neuronal response from DNA replication to apoptosis. METHODS Experiments were carried out in cultured rat cortical neurons challenged with toxic oligomers of Aβ protein. RESULTS Small inhibitory molecules of ATM/ATR kinase or Chk-1 amplified Aβ-induced neuronal DNA replication and apoptosis, as they were permissive to the DNA polymerase-β activity triggered by Aβ oligomers. Claspin, i.e., the adaptor protein between ATM/ATR kinase and the downstream Chk-1, was present on DNA replication forks of neurons early after Aβ challenge, and decreased at times coinciding with neuronal apoptosis. The caspase-3/7 inhibitor I maintained overtime the amount of Claspin loaded on DNA replication forks and, concomitantly, reduced neuronal apoptosis by holding neurons in the S phase. Moreover, a short phosphopeptide mimicking the Chk-1-binding motif of Claspin was able to prevent Aβ-challenged neurons from entering apoptosis. CONCLUSION We speculate that, in the Alzheimer's brain, Claspin degradation by intervening factors may precipitate the death of neurons engaged into DNA replication.
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Affiliation(s)
- Filippo Caraci
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
- UOR of Neuropharmacology and Translational Neurosciences, Oasi Research Institute - IRCCS, Troina, Italy
| | - Annamaria Fidilio
- UOR of Neuropharmacology and Translational Neurosciences, Oasi Research Institute - IRCCS, Troina, Italy
| | - Rosa Santangelo
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
| | - Giuseppe Caruso
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
| | - Maria Laura Giuffrida
- Institute of Crystallography, National Council of Research, Catania Unit, Catania, Italy
| | | | - Ferdinando Nicoletti
- Department of Physiology and Pharmacology, University Sapienza of Rome, Rome, Italy
- IRCCS Neuromed, Pozzilli, Italy
| | - Agata Copani
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
- Institute of Crystallography, National Council of Research, Catania Unit, Catania, Italy
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Galluzzi S, Pievani M, Zanetti O, Benussi L, Frisoni GB, Di Maria E. Disclosure of Genetic Risk Factors for Alzheimer's Disease to Cognitively Healthy Individuals-From Current Practice towards a Personalised Medicine Scenario. Biomedicines 2022; 10:biomedicines10123177. [PMID: 36551936 PMCID: PMC9775740 DOI: 10.3390/biomedicines10123177] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 11/26/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
Alzheimer's disease (AD) is a genetically complex disorder. In addition to the relatively small number of pathogenic variants causing autosomal dominant AD, many others have been associated with the much more common sporadic form. The E4 allele of the Apolipoprotein E (APOE) is the first discovered genetic risk factor for AD. In addition, more than 70 genetic risk loci contributing to AD have been identified. Current guidelines do not recommend AD susceptibility genetic testing in cognitively healthy adults because the implications for clinical care are limited. However, secondary prevention clinical trials of disease-modifying therapies enrol individuals based on genetic criteria, and participants are often informed of APOE testing results. Moreover, the availability of direct-to-consumer genetic testing allows individuals to learn their own AD genetic risk profile without medical supervision. A number of research protocols for AD susceptibility genetic testing have been proposed. In Italy, disclosure processes and protocols beyond those developed for inherited dementia have not been established yet. We reviewed the literature on the current practice and clinical issues related to disclosing AD genetic risk to cognitively healthy individuals and provide suggestions that may help to develop specific guidelines at the national level.
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Affiliation(s)
- Samantha Galluzzi
- Laboratory Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Michela Pievani
- Laboratory Alzheimer’s Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Orazio Zanetti
- Memory Clinic, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Luisa Benussi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | | | - Giovanni B. Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, 1205 Geneva, Switzerland
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, 1205 Geneva, Switzerland
| | - Emilio Di Maria
- Department of Health Sciences, University of Genoa, 16132 Genoa, Italy
- University Unit of Medical Genetics, Galliera Hospital, 16128 Genoa, Italy
- Correspondence:
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Polygenic resilience scores capture protective genetic effects for Alzheimer's disease. Transl Psychiatry 2022; 12:296. [PMID: 35879306 PMCID: PMC9314356 DOI: 10.1038/s41398-022-02055-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 06/23/2022] [Accepted: 07/01/2022] [Indexed: 01/27/2023] Open
Abstract
Polygenic risk scores (PRSs) can boost risk prediction in late-onset Alzheimer's disease (LOAD) beyond apolipoprotein E (APOE) but have not been leveraged to identify genetic resilience factors. Here, we sought to identify resilience-conferring common genetic variants in (1) unaffected individuals having high PRSs for LOAD, and (2) unaffected APOE-ε4 carriers also having high PRSs for LOAD. We used genome-wide association study (GWAS) to contrast "resilient" unaffected individuals at the highest genetic risk for LOAD with LOAD cases at comparable risk. From GWAS results, we constructed polygenic resilience scores to aggregate the addictive contributions of risk-orthogonal common variants that promote resilience to LOAD. Replication of resilience scores was undertaken in eight independent studies. We successfully replicated two polygenic resilience scores that reduce genetic risk penetrance for LOAD. We also showed that polygenic resilience scores positively correlate with polygenic risk scores in unaffected individuals, perhaps aiding in staving off disease. Our findings align with the hypothesis that a combination of risk-independent common variants mediates resilience to LOAD by moderating genetic disease risk.
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6
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Patel T, Carnwath TP, Wang X, Allen M, Lincoln SJ, Lewis‐Tuffin L, Quicksall ZS, Lin S, Tutor‐New FQ, Ho CC, Min Y, Malphrus KG, Nguyen TT, Martin E, Garcia CA, Alkharboosh RM, Grewal S, Chaichana K, Wharen R, Guerrero‐Cazares H, Quinones‐Hinojosa A, Ertekin‐Taner N. Transcriptional landscape of human microglia implicates age, sex, and APOE-related immunometabolic pathway perturbations. Aging Cell 2022; 21:e13606. [PMID: 35388616 PMCID: PMC9124307 DOI: 10.1111/acel.13606] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/19/2022] [Accepted: 03/21/2022] [Indexed: 12/20/2022] Open
Abstract
Microglia have fundamental roles in health and disease; however, effects of age, sex, and genetic factors on human microglia have not been fully explored. We applied bulk and single-cell approaches to comprehensively characterize human microglia transcriptomes and their associations with age, sex, and APOE. We identified a novel microglial signature, characterized its expression in bulk tissue and single-cell microglia transcriptomes. We discovered microglial co-expression network modules associated with age, sex, and APOE-ε4 that are enriched for lipid and carbohydrate metabolism genes. Integrated analyses of modules with single-cell transcriptomes revealed significant overlap between age-associated module genes and both pro-inflammatory and disease-associated microglial clusters. These modules and clusters harbor known neurodegenerative disease genes including APOE, PLCG2, and BIN1. Meta-analyses with published bulk and single-cell microglial datasets further supported our findings. Thus, these data represent a well-characterized human microglial transcriptome resource and highlight age, sex, and APOE-related microglial immunometabolism perturbations with potential relevance in neurodegeneration.
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Affiliation(s)
- Tulsi Patel
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | | | - Xue Wang
- Department of Quantitative Health SciencesMayo ClinicJacksonvilleFloridaUSA
| | - Mariet Allen
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | | | | | | | - Shu Lin
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | | | | | - Yuhao Min
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | | | - Thuy T. Nguyen
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
| | | | | | - Rawan M. Alkharboosh
- Department of NeurosurgeryMayo ClinicJacksonvilleFloridaUSA
- Neuroscience Graduate ProgramMayo Clinic Graduate School of Biomedical SciencesMayo ClinicRochesterMinnesotaUSA
- Regenerative Sciences Training ProgramCenter for Regenerative MedicineMayo ClinicRochesterMinnesotaUSA
| | - Sanjeet Grewal
- Department of NeurosurgeryMayo ClinicJacksonvilleFloridaUSA
| | | | - Robert Wharen
- Department of NeurosurgeryMayo ClinicJacksonvilleFloridaUSA
| | | | | | - Nilüfer Ertekin‐Taner
- Department of NeuroscienceMayo ClinicJacksonvilleFloridaUSA
- Department of NeurologyMayo ClinicJacksonvilleFloridaUSA
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7
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Eitan C, Siany A, Barkan E, Olender T, van Eijk KR, Moisse M, Farhan SMK, Danino YM, Yanowski E, Marmor-Kollet H, Rivkin N, Yacovzada NS, Hung ST, Cooper-Knock J, Yu CH, Louis C, Masters SL, Kenna KP, van der Spek RAA, Sproviero W, Al Khleifat A, Iacoangeli A, Shatunov A, Jones AR, Elbaz-Alon Y, Cohen Y, Chapnik E, Rothschild D, Weissbrod O, Beck G, Ainbinder E, Ben-Dor S, Werneburg S, Schafer DP, Brown RH, Shaw PJ, Van Damme P, van den Berg LH, Phatnani H, Segal E, Ichida JK, Al-Chalabi A, Veldink JH, Hornstein E. Whole-genome sequencing reveals that variants in the Interleukin 18 Receptor Accessory Protein 3'UTR protect against ALS. Nat Neurosci 2022; 25:433-445. [PMID: 35361972 PMCID: PMC7614916 DOI: 10.1038/s41593-022-01040-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 02/16/2022] [Indexed: 12/26/2022]
Abstract
The noncoding genome is substantially larger than the protein-coding genome but has been largely unexplored by genetic association studies. Here, we performed region-based rare variant association analysis of >25,000 variants in untranslated regions of 6,139 amyotrophic lateral sclerosis (ALS) whole genomes and the whole genomes of 70,403 non-ALS controls. We identified interleukin-18 receptor accessory protein (IL18RAP) 3' untranslated region (3'UTR) variants as significantly enriched in non-ALS genomes and associated with a fivefold reduced risk of developing ALS, and this was replicated in an independent cohort. These variants in the IL18RAP 3'UTR reduce mRNA stability and the binding of double-stranded RNA (dsRNA)-binding proteins. Finally, the variants of the IL18RAP 3'UTR confer a survival advantage for motor neurons because they dampen neurotoxicity of human induced pluripotent stem cell (iPSC)-derived microglia bearing an ALS-associated expansion in C9orf72, and this depends on NF-κB signaling. This study reveals genetic variants that protect against ALS by reducing neuroinflammation and emphasizes the importance of noncoding genetic association studies.
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Affiliation(s)
- Chen Eitan
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
| | - Aviad Siany
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
| | - Elad Barkan
- Department of Computer Science And Applied Math, Weizmann Institute of Science, Rehovot, Israel
| | - Tsviya Olender
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Kristel R van Eijk
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Matthieu Moisse
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology, Leuven, Belgium
- VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
| | - Sali M K Farhan
- Analytic and Translational Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yehuda M Danino
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Yanowski
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
| | - Hagai Marmor-Kollet
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
| | - Natalia Rivkin
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
| | - Nancy Sarah Yacovzada
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
- Department of Computer Science And Applied Math, Weizmann Institute of Science, Rehovot, Israel
| | - Shu-Ting Hung
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research at USC, Los Angeles, CA, USA
- Zilkha Neurogenetic Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Chien-Hsiung Yu
- Inflammation Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Australia
| | - Cynthia Louis
- Inflammation Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Australia
| | - Seth L Masters
- Inflammation Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Australia
| | - Kevin P Kenna
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Rick A A van der Spek
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - William Sproviero
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, United Kingdom
| | - Ahmad Al Khleifat
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, United Kingdom
| | - Alfredo Iacoangeli
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, United Kingdom
| | - Aleksey Shatunov
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, United Kingdom
| | - Ashley R Jones
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, United Kingdom
| | - Yael Elbaz-Alon
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Yahel Cohen
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
| | - Elik Chapnik
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Daphna Rothschild
- Department of Computer Science And Applied Math, Weizmann Institute of Science, Rehovot, Israel
- Department of Developmental Biology, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Omer Weissbrod
- Department of Computer Science And Applied Math, Weizmann Institute of Science, Rehovot, Israel
| | - Gilad Beck
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Elena Ainbinder
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Shifra Ben-Dor
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Sebastian Werneburg
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Dorothy P Schafer
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Robert H Brown
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Philip Van Damme
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology, Leuven, Belgium
- VIB, Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
- University Hospitals Leuven, Department of Neurology, Leuven, Belgium
| | - Leonard H van den Berg
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Hemali Phatnani
- Center for Genomics of Neurodegenerative Disease, New York Genome Center, New York, USA
| | - Eran Segal
- Department of Computer Science And Applied Math, Weizmann Institute of Science, Rehovot, Israel
| | - Justin K Ichida
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research at USC, Los Angeles, CA, USA
- Zilkha Neurogenetic Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Ammar Al-Chalabi
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, United Kingdom
- King's College Hospital, Denmark Hill, London, United Kingdom
| | - Jan H Veldink
- Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Eran Hornstein
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel.
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8
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Cahill S, Chandola T, Hager R. Genetic Variants Associated With Resilience in Human and Animal Studies. Front Psychiatry 2022; 13:840120. [PMID: 35669264 PMCID: PMC9163442 DOI: 10.3389/fpsyt.2022.840120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 04/19/2022] [Indexed: 11/15/2022] Open
Abstract
Resilience is broadly defined as the ability to maintain or regain functioning in the face of adversity and is influenced by both environmental and genetic factors. The identification of specific genetic factors and their biological pathways underpinning resilient functioning can help in the identification of common key factors, but heterogeneities in the operationalisation of resilience have hampered advances. We conducted a systematic review of genetic variants associated with resilience to enable the identification of general resilience mechanisms. We adopted broad inclusion criteria for the definition of resilience to capture both human and animal model studies, which use a wide range of resilience definitions and measure very different outcomes. Analyzing 158 studies, we found 71 candidate genes associated with resilience. OPRM1 (Opioid receptor mu 1), NPY (neuropeptide Y), CACNA1C (calcium voltage-gated channel subunit alpha1 C), DCC (deleted in colorectal carcinoma), and FKBP5 (FKBP prolyl isomerase 5) had both animal and human variants associated with resilience, supporting the idea of shared biological pathways. Further, for OPRM1, OXTR (oxytocin receptor), CRHR1 (corticotropin-releasing hormone receptor 1), COMT (catechol-O-methyltransferase), BDNF (brain-derived neurotrophic factor), APOE (apolipoprotein E), and SLC6A4 (solute carrier family 6 member 4), the same allele was associated with resilience across divergent resilience definitions, which suggests these genes may therefore provide a starting point for further research examining commonality in resilience pathways.
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Affiliation(s)
- Stephanie Cahill
- Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom.,Faculty of Humanities, Cathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom
| | - Tarani Chandola
- Faculty of Humanities, Cathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom.,Methods Hub, Department of Sociology, Faculty of Social Sciences, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Reinmar Hager
- Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
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9
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Sinsky J, Pichlerova K, Hanes J. Tau Protein Interaction Partners and Their Roles in Alzheimer's Disease and Other Tauopathies. Int J Mol Sci 2021; 22:9207. [PMID: 34502116 PMCID: PMC8431036 DOI: 10.3390/ijms22179207] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 08/23/2021] [Accepted: 08/25/2021] [Indexed: 02/06/2023] Open
Abstract
Tau protein plays a critical role in the assembly, stabilization, and modulation of microtubules, which are important for the normal function of neurons and the brain. In diseased conditions, several pathological modifications of tau protein manifest. These changes lead to tau protein aggregation and the formation of paired helical filaments (PHF) and neurofibrillary tangles (NFT), which are common hallmarks of Alzheimer's disease and other tauopathies. The accumulation of PHFs and NFTs results in impairment of physiological functions, apoptosis, and neuronal loss, which is reflected as cognitive impairment, and in the late stages of the disease, leads to death. The causes of this pathological transformation of tau protein haven't been fully understood yet. In both physiological and pathological conditions, tau interacts with several proteins which maintain their proper function or can participate in their pathological modifications. Interaction partners of tau protein and associated molecular pathways can either initiate and drive the tau pathology or can act neuroprotective, by reducing pathological tau proteins or inflammation. In this review, we focus on the tau as a multifunctional protein and its known interacting partners active in regulations of different processes and the roles of these proteins in Alzheimer's disease and tauopathies.
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Affiliation(s)
| | | | - Jozef Hanes
- Institute of Neuroimmunology, Slovak Academy of Sciences, Dubravska Cesta 9, 845 10 Bratislava, Slovakia; (J.S.); (K.P.)
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10
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Seto M, Weiner RL, Dumitrescu L, Hohman TJ. Protective genes and pathways in Alzheimer's disease: moving towards precision interventions. Mol Neurodegener 2021; 16:29. [PMID: 33926499 PMCID: PMC8086309 DOI: 10.1186/s13024-021-00452-5] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 04/20/2021] [Indexed: 12/29/2022] Open
Abstract
Alzheimer's disease (AD) is a progressive, neurodegenerative disorder that is characterized by neurodegeneration, cognitive impairment, and an eventual inability to perform daily tasks. The etiology of Alzheimer's is complex, with numerous environmental and genetic factors contributing to the disease. Late-onset AD is highly heritable (60 to 80%), and over 40 risk loci for AD have been identified via large genome-wide association studies, most of which are common variants with small effect sizes. Although these discoveries have provided novel insight on biological contributors to AD, disease-modifying treatments remain elusive. Recently, the concepts of resistance to pathology and resilience against the downstream consequences of pathology have been of particular interest in the Alzheimer's field as studies continue to identify individuals who evade the pathology of the disease even into late life and individuals who have all of the neuropathological features of AD but evade downstream neurodegeneration and cognitive impairment. It has been hypothesized that a shift in focus from Alzheimer's risk to resilience presents an opportunity to uncover novel biological mechanisms of AD and to identify promising therapeutic targets for the disease. This review will highlight a selection of genes and variants that have been reported to confer protection from AD within the literature and will also discuss evidence for the biological underpinnings behind their protective effect with a focus on genes involved in lipid metabolism, cellular trafficking, endosomal and lysosomal function, synaptic function, and inflammation. Finally, we offer some recommendations in areas where the field can rapidly advance towards precision interventions that leverage the ideas of protection and resilience for the development of novel therapeutic strategies.
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Affiliation(s)
- Mabel Seto
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, 1207 17th Ave S, Nashville, TN 37212 USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN USA
| | - Rebecca L. Weiner
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, 1207 17th Ave S, Nashville, TN 37212 USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
- Department of Pharmacology, Vanderbilt University, Nashville, TN USA
| | - Logan Dumitrescu
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, 1207 17th Ave S, Nashville, TN 37212 USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN USA
| | - Timothy J. Hohman
- Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, 1207 17th Ave S, Nashville, TN 37212 USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN USA
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11
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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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12
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Wang Q, He C, Wang Z, Zhang Z, Xie C. Dynamic Connectivity Alteration Facilitates Cognitive Decline in Alzheimer's Disease Spectrum. Brain Connect 2021; 11:213-224. [PMID: 33308002 DOI: 10.1089/brain.2020.0823] [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: 11/13/2022] Open
Abstract
Introduction: It is unknown the alterations in the dynamic networks of the brain and the underlying molecular pathological mechanism of Alzheimer's disease (AD) spectrum. Here, we aim to explore the association between alterations in the dynamic brain networks' trajectory and cognitive decline in the AD spectrum. Methods: One hundred sixty subjects were recruited from the ADNI database, including 49 early mild cognitive impairment, 28 late mild cognitive impairment, 24 AD patients, and 59 cognitively normal. All participants completed the resting-state functional magnetic resonance imaging scan and neuropsychological tests. We integrated a new method combining large-scale network analysis and canonical correlation analysis to explore the dynamic spatiotemporal patterns within- and between resting-state networks (RSNs) and their significance in the AD spectrum. Results: All RSNs represented an increase in connectivity within networks by enhancing inner cohesive ability, while 7 out of 10 RSNs were characterized by a decrease in connectivity between networks, which indicated a weakened connector among networks from the early stage to dementia. This dichotomous mode presenting large-scale dynamic network abnormality was significantly correlated with the levels of molecular biomarkers of AD, and cognitive performance, as well as with the accumulating effects of 10 identified AD-related genetic risk factors. Discussion: These findings deepen our understanding of the associated mechanism underlying large-scale network disruption, linking known molecular biomarkers and phenotypic variations in the AD spectrum.
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Affiliation(s)
- Qing Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Cancan He
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Zan Wang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.,Neuropsychiatric Institute, Affiliated ZhongDa Hospital, Southeast University, Nanjing, China
| | - Zhijun Zhang
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.,Neuropsychiatric Institute, Affiliated ZhongDa Hospital, Southeast University, Nanjing, China.,The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.,Neuropsychiatric Institute, Affiliated ZhongDa Hospital, Southeast University, Nanjing, China.,The Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, China
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13
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Zhang H, Tong T, Landers J, Wu Z. TFisher: A powerful truncation and weighting procedure for combining $p$-values. Ann Appl Stat 2020. [DOI: 10.1214/19-aoas1302] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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14
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Genetic resilience to Alzheimer's disease in APOE ε4 homozygotes: A systematic review. Alzheimers Dement 2019; 15:1612-1623. [PMID: 31506248 DOI: 10.1016/j.jalz.2019.05.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 05/15/2019] [Accepted: 05/23/2019] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Individuals with homozygosity for the apolipoprotein E (APOE) ε4 allele are in the highest risk category for late-onset Alzheimer's disease (LOAD). However, some individuals in this category do not develop LOAD beyond the age of 75 years, despite being at elevated genetic risk. These "resilient" individuals may carry protective genetic factors. METHODS This study aimed to systematically review any previous studies that involved resilient APOE ε4 homozygotes and to identify possible modifying or protective genetic factors. RESULTS Fifteen studies met our inclusion criteria and reported genetic factors contributing to reduced risk. We found that only two single nucleotide polymorphisms, CASP7 rs10553596 and SERPINA3 rs4934-A/A, had strong evidence. DISCUSSION We found a paucity of studies adequately designed to discover protective genetic factors against LOAD. Many studies combined APOE ε4 homozygotes and heterozygotes together because of small sample sizes and used control populations too young to be clearly defined as controls for LOAD.
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15
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The exploration of novel Alzheimer's therapeutic agents from the pool of FDA approved medicines using drug repositioning, enzyme inhibition and kinetic mechanism approaches. Biomed Pharmacother 2018; 109:2513-2526. [PMID: 30551512 DOI: 10.1016/j.biopha.2018.11.115] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 11/19/2018] [Accepted: 11/25/2018] [Indexed: 12/11/2022] Open
Abstract
Novel drug development is onerous, time consuming and overpriced process with particularly low success and relatively high enfeebling rates. To overcome this burden, drug repositioning approach is being used to predict the possible therapeutic effects of FDA approved drugs in different diseases. Herein, we designed a computational and enzyme inhibitory mechanistic approach to fetch the promising drugs from the pool of FDA approved drugs against AD. The binding interaction patterns and conformations of screened drugs within active region of AChE were confirmed through molecular docking profiles. The possible associations of selected drugs with AD genes were predicted by pharmacogenomics analysis and confirmed through data mining. The stability behaviour of docked complexes (Drugs-AChE) were checked by MD simulations. The possible therapeutic potential of repositioned drugs against AChE were checked by in vitro analysis. Taken together, Cinitapride displayed a comparable results with standard and can be used as possible therapeutic agent in the treatment of AD.
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16
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Caspases orchestrate microglia instrumental functions. Prog Neurobiol 2018; 171:50-71. [DOI: 10.1016/j.pneurobio.2018.09.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 09/21/2018] [Accepted: 09/29/2018] [Indexed: 12/16/2022]
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17
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Polygenic risk score in postmortem diagnosed sporadic early-onset Alzheimer's disease. Neurobiol Aging 2017; 62:244.e1-244.e8. [PMID: 29103623 DOI: 10.1016/j.neurobiolaging.2017.09.035] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 09/27/2017] [Accepted: 09/29/2017] [Indexed: 11/24/2022]
Abstract
Sporadic early-onset Alzheimer's disease (sEOAD) exhibits the symptoms of late-onset Alzheimer's disease but lacks the familial aspect of the early-onset familial form. The genetics of Alzheimer's disease (AD) identifies APOEε4 to be the greatest risk factor; however, it is a complex disease involving both environmental risk factors and multiple genetic loci. Polygenic risk scores (PRSs) accumulate the total risk of a phenotype in an individual based on variants present in their genome. We determined whether sEOAD cases had a higher PRS compared to controls. A cohort of sEOAD cases was genotyped on the NeuroX array, and PRSs were generated using PRSice. The target data set consisted of 408 sEOAD cases and 436 controls. The base data set was collated by the International Genomics of Alzheimer's Project consortium, with association data from 17,008 late-onset Alzheimer's disease cases and 37,154 controls, which can be used for identifying sEOAD cases due to having shared phenotype. PRSs were generated using all common single nucleotide polymorphisms between the base and target data set, PRS were also generated using only single nucleotide polymorphisms within a 500 kb region surrounding the APOE gene. Sex and number of APOE ε2 or ε4 alleles were used as variables for logistic regression and combined with PRS. The results show that PRS is higher on average in sEOAD cases than controls, although there is still overlap among the whole cohort. Predictive ability of identifying cases and controls using PRSice was calculated with 72.9% accuracy, greater than the APOE locus alone (65.2%). Predictive ability was further improved with logistic regression, identifying cases and controls with 75.5% accuracy.
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18
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Loss-of-function mutation in Mirta22/Emc10 rescues specific schizophrenia-related phenotypes in a mouse model of the 22q11.2 deletion. Proc Natl Acad Sci U S A 2017; 114:E6127-E6136. [PMID: 28696314 DOI: 10.1073/pnas.1615719114] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Identification of protective loss-of-function (LoF) mutations holds great promise for devising novel therapeutic interventions, although it faces challenges due to the scarcity of protective LoF alleles in the human genome. Exploiting the detailed mechanistic characterization of animal models of validated disease mutations offers an alternative. Here, we provide insights into protective-variant biology based on our characterization of a model of the 22q11.2 deletion, a strong genetic risk factor for schizophrenia (SCZ). Postnatal brain up-regulation of Mirta22/Emc10, an inhibitor of neuronal maturation, represents the major transcriptional effect of the 22q11.2-associated microRNA dysregulation. Here, we demonstrate that mice in which the Df(16)A deficiency is combined with a LoF Mirta22 allele show rescue of key SCZ-related deficits, namely prepulse inhibition decrease, working memory impairment, and social memory deficits, as well as synaptic and structural plasticity abnormalities in the prefrontal cortex. Additional analysis of homozygous Mirta22 knockout mice, in which no alteration is observed in the above-mentioned SCZ-related phenotypes, highlights the deleterious effects of Mirta22 up-regulation. Our results support a causal link between dysregulation of a miRNA target and SCZ-related deficits and provide key insights into beneficial LoF mutations and potential new treatments.
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19
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Kajiwara Y, McKenzie A, Dorr N, Gama Sosa MA, Elder G, Schmeidler J, Dickstein DL, Bozdagi O, Zhang B, Buxbaum JD. The human-specific CASP4 gene product contributes to Alzheimer-related synaptic and behavioural deficits. Hum Mol Genet 2016; 25:4315-4327. [PMID: 27516385 DOI: 10.1093/hmg/ddw265] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Revised: 06/09/2016] [Accepted: 07/28/2016] [Indexed: 12/13/2022] Open
Abstract
Recent studies have indicated that innate immune signalling molecules are involved in late-onset Alzheimer's disease (LOAD) risk. Amyloid beta (Aβ) accumulates in AD brain, and has been proposed to act as a trigger of innate immune responses. Caspase-4 is an important part of the innate immune response. We recently characterized transgenic mice carrying human CASP4, and observed that the mice manifested profound innate immune responses to lipopolysaccharide (LPS). Since these inflammatory processes are important in the aetiology of AD, we have now analysed the correlation of expression of caspase-4 in human brain with AD risk genes, and studied caspase-4 effects on AD-related phenotypes in APPswe/PS1deltaE9 (APP/PS1) mice. We observed that the expression of caspase-4 was strongly correlated with AD risk genes including TYROBP, TREM2, CR1, PSEN1, MS4A4A and MS4A6A in LOAD brains. Caspase-4 expression was upregulated in CASP4/APP/PS1 mice in a region-specific manner, including hippocampus and prefrontal cortex. In APP/PS1 mice, caspase-4 expression led to impairments in the reversal phase of a Barnes maze task and in hippocampal synaptic plasticity, without affecting soluble or aggregated Aβ levels. Caspase-4 was expressed predominantly in microglial cells, and in the presence of CASP4, more microglia were clustered around amyloid plaques. Furthermore, our data indicated that caspase-4 modulates microglial cells in a manner that increases proinflammatory processes. We propose that microglial caspase-4 expression contributes to the cognitive impairments in AD, and that further study of caspase-4 will enhance our understanding of AD pathogenesis and may lead to novel therapeutic targets in AD.
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Affiliation(s)
| | - Andrew McKenzie
- Department of Genetics and Genomic Sciences.,Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, NY, USA
| | | | | | - Gregory Elder
- Department of Psychiatry.,Neurology Service, James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY, USA.,Department of Neurology
| | | | - Dara L Dickstein
- Department of Neuroscience.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Bin Zhang
- Department of Genetics and Genomic Sciences.,Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, NY, USA
| | - Joseph D Buxbaum
- Department of Psychiatry .,Department of Genetics and Genomic Sciences.,Department of Neuroscience.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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20
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Bromberg Y, Capriotti E, Carter H. VarI-SIG 2015: methods for personalized medicine - the role of variant interpretation in research and diagnostics. BMC Genomics 2016; 17 Suppl 2:425. [PMID: 27357578 PMCID: PMC4928159 DOI: 10.1186/s12864-016-2721-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Yana Bromberg
- Department of Biochemistry and Microbiology, Rutgers University, Lipman Hall 218, 08901, New Brunswick, NJ, USA. .,Department of Genetics, Rutgers University, Lipman Hall 218, 08901, New Brunswick, NJ, USA.
| | - Emidio Capriotti
- Institute for Mathematical Modeling of Biological Systems, Department of Biology, Heinrich Heine University Düsseldorf, Universitaetsstr. 1, 40225, Düsseldorf, Germany.
| | - Hannah Carter
- Division of Medical Genetics, Department of Medicine, University of California, San Diego, 9500 Gilman Dr., 92093, La Jolla, CA, USA.
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