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Zoccali C, Capasso G. Genetic biomarkers of cognitive impairment and dementia of potential interest in CKD patients. J Nephrol 2024:10.1007/s40620-024-02006-6. [PMID: 38970746 DOI: 10.1007/s40620-024-02006-6] [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: 04/16/2024] [Accepted: 06/15/2024] [Indexed: 07/08/2024]
Abstract
This review discusses genetic variants associated with cognitive dysfunction in chronic kidney disease (CKD) patients, emphasising the limited research in this area. Four studies have explored genetic markers of cognitive dysfunction in CKD, with findings suggesting shared genetic biomarkers between Alzheimer's Disease and CKD.Because of the limited specific research on genetic markers of cognitive dysfunction and dementia in CKD, we extracted data from the current literature studies on genetic markers in the general population that may be relevant to the CKD population. These markers include Apolipoprotein E (APOE), Complement Receptor 1 (CR1), Clusterin (CLU), Sortilin-related receptor 1 (SORL1), Catechol-O-methyltransferase (COMT), and Brain-derived neurotrophic factor (BDNF), all of which are known to be associated with cognitive dysfunction and dementia in other populations. These genes play various roles in lipid metabolism, inflammation, Aβ clearance, and neuronal function, making them potential candidates for studying cognitive decline in CKD patients.CKD-specific research is needed to understand the role of these genetic markers in CKD-related cognitive dysfunction. Investigating how these genes influence cognitive decline in CKD patients could provide valuable insights into early detection, targeted interventions, and personalised treatment strategies. Overall, genetic studies to enhance our understanding and management of cognitive dysfunction in CKD represent a clinical research priority in this population.
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Affiliation(s)
- Carmine Zoccali
- Renal Research Institute, New York, USA.
- Institute of Molecular Biology and Genetics (Biogem), Ariano Irpino, Italy.
- Associazione Ipertensione Nefrologia Trapianto Renale (IPNET), c/o Nefrologia, Grande Ospedale Metropolitano, Reggio Calabria, Italy.
| | - Giovambattista Capasso
- Institute of Molecular Biology and Genetics (Biogem), Ariano Irpino, Italy
- Department of Translational Medical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
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2
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Neven J, Issayama LK, Dewachter I, Wilson DM. Genomic stress and impaired DNA repair in Alzheimer disease. DNA Repair (Amst) 2024; 139:103678. [PMID: 38669748 DOI: 10.1016/j.dnarep.2024.103678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024]
Abstract
Alzheimer disease (AD) is the most prominent form of dementia and has received considerable attention due to its growing burden on economic, healthcare and basic societal infrastructures. The two major neuropathological hallmarks of AD, i.e., extracellular amyloid beta (Aβ) peptide plaques and intracellular hyperphosphorylated Tau neurofibrillary tangles, have been the focus of much research, with an eye on understanding underlying disease mechanisms and identifying novel therapeutic avenues. One often overlooked aspect of AD is how Aβ and Tau may, through indirect and direct mechanisms, affect genome integrity. Herein, we review evidence that Aβ and Tau abnormalities induce excessive genomic stress and impair genome maintenance mechanisms, events that can promote DNA damage-induced neuronal cell loss and associated brain atrophy.
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Affiliation(s)
- Jolien Neven
- Hasselt University, Biomedical Research Institute, BIOMED, Hasselt 3500, Belgium
| | - Luidy Kazuo Issayama
- Hasselt University, Biomedical Research Institute, BIOMED, Hasselt 3500, Belgium
| | - Ilse Dewachter
- Hasselt University, Biomedical Research Institute, BIOMED, Hasselt 3500, Belgium
| | - David M Wilson
- Hasselt University, Biomedical Research Institute, BIOMED, Hasselt 3500, Belgium.
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3
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Mishra S, Morshed N, Kinoshita C, Stevens B, Jayadev S, Young JE. The Alzheimer's disease gene SORL1 regulates lysosome function in human microglia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.25.600648. [PMID: 38979155 PMCID: PMC11230436 DOI: 10.1101/2024.06.25.600648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
The SORL1 gene encodes the sortilin related receptor protein SORLA, a sorting receptor that regulates endo-lysosomal trafficking of various substrates. Loss of function variants in SORL1 are causative for Alzheimer's disease (AD) and decreased expression of SORLA has been repeatedly observed in human AD brains. SORL1 is highly expressed by microglia, the tissue resident immune cells of the brain. Loss of SORLA leads to enlarged lysosomes in hiPSC-derived microglia like cells (hMGLs). However, whether SORLA deficiency contributes to microglia dysfunction and how this is relevant to AD is not known. In this study, we show that loss of SORLA results in decreased lysosomal degradation and lysosomal enzyme activity due to altered trafficking of lysosomal enzymes in hMGLs. Furthermore, lysosomal exocytosis, an important process involved in immune responses and cellular signaling, is also impaired in SORL1 deficient microglia. Phagocytic uptake of fibrillar amyloid beta 1-42 and synaptosomes is increased in SORLA deficient hMGLs, but due to reduced lysosomal degradation, these substrates aberrantly accumulate in lysosomes. Overall, these data highlight the microglial endo-lysosomal network as a potential novel pathway through which SORL1 may increase AD risk and contribute to development of AD. Additionally, our findings may inform development of novel lysosome and microglia associated drug targets for AD.
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Jaykumar AB, Binns D, Taylor CA, Anselmo A, Birnbaum SG, Huber KM, Cobb MH. WNKs regulate mouse behavior and alter central nervous system glucose uptake and insulin signaling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.09.598125. [PMID: 38915673 PMCID: PMC11195145 DOI: 10.1101/2024.06.09.598125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Certain areas of the brain involved in episodic memory and behavior, such as the hippocampus, express high levels of insulin receptors and glucose transporter-4 (GLUT4) and are responsive to insulin. Insulin and neuronal glucose metabolism improve cognitive functions and regulate mood in humans. Insulin-dependent GLUT4 trafficking has been extensively studied in muscle and adipose tissue, but little work has demonstrated either how it is controlled in insulin-responsive brain regions or its mechanistic connection to cognitive functions. In this study, we demonstrate that inhibition of WNK (With-No-lysine (K)) kinases improves learning and memory in mice. Neuronal inhibition of WNK enhances in vivo hippocampal glucose uptake. Inhibition of WNK enhances insulin signaling output and insulin-dependent GLUT4 trafficking to the plasma membrane in mice primary neuronal cultures and hippocampal slices. Therefore, we propose that the extent of neuronal WNK kinase activity has an important influence on learning, memory and anxiety-related behaviors, in part, by modulation of neuronal insulin signaling.
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Affiliation(s)
- Ankita B. Jaykumar
- Departments of Pharmacology, UT Southwestern Medical Center, Dallas, USA
| | - Derk Binns
- Departments of Pharmacology, UT Southwestern Medical Center, Dallas, USA
| | - Clinton A. Taylor
- Departments of Pharmacology, UT Southwestern Medical Center, Dallas, USA
| | - Anthony Anselmo
- Departments of Pharmacology, UT Southwestern Medical Center, Dallas, USA
| | - Shari G. Birnbaum
- Departments of Peter O’Donnell Jr. Brain Institute and Psychiatry, UT Southwestern Medical Center, Dallas, USA
| | | | - Melanie H. Cobb
- Departments of Pharmacology, UT Southwestern Medical Center, Dallas, USA
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Dolci G, Cruciani F, Rahaman MA, Abrol A, Chen J, Fu Z, Galazzo IB, Menegaz G, Calhoun VD. An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease. ARXIV 2024:arXiv:2406.13292v1. [PMID: 38947922 PMCID: PMC11213156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Alzheimer's disease (AD) is the most prevalent form of dementia, affecting millions worldwide with a progressive decline in cognitive abilities. The AD continuum encompasses a prodormal stage known as Mild Cognitive Impairment (MCI), where patients may either progress to AD (MCIc) or remain stable (MCInc). Understanding the underlying mechanisms of AD requires complementary analysis derived from different data sources, leading to the development of multimodal deep learning models. In this study, we leveraged structural and functional Magnetic Resonance Imaging (sMRI/fMRI) to investigate the disease-induced grey matter and functional network connectivity changes. Moreover, considering AD's strong genetic component, we introduce Single Nucleotide Polymorphisms (SNPs) as a third channel. Given such diverse inputs, missing one or more modalities is a typical concern of multimodal methods. We hence propose a novel deep learning based classification framework where generative module employing Cycle Generative Adversarial Networks (cGAN) was adopted to impute missing data within the latent space. Additionally, we adopted an Explainable Artificial Intelligence (XAI) method, Integrated Gradients (IG), to extract input features relevance, enhancing our understanding of the learned representations. Two critical tasks were addressed: AD detection and MCI conversion prediction. Experimental results showed that our framework was able to reach the state-of-the-art in the classification of CN vs AD reaching an average test accuracy of 0.926 ± 0.02. For the MCInc vs MCIc task, we achieved an average prediction accuracy of 0.711 ± 0.01 using the pre-trained model for CN and AD. The interpretability analysis revealed that the classification performance was led by significant grey matter modulations in cortical and subcortical brain areas well known for their association with AD. Moreover, impairments in sensory-motor and visual resting state network connectivity along the disease continuum, as well as mutations in SNPs defining biological processes linked to amyloid-beta and cholesterol formation clearance and regulation, were identified as contributors to the achieved performance. Overall, our integrative deep learning approach shows promise for AD detection and MCI prediction, while shading light on important biological insights.
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Affiliation(s)
- Giorgio Dolci
- Department of Engineering for Innovation Medicine, University of Verona, Verona, Italy
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Federica Cruciani
- Department of Engineering for Innovation Medicine, University of Verona, Verona, Italy
| | - Md Abdur Rahaman
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Anees Abrol
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Jiayu Chen
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Zening Fu
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | | | - Gloria Menegaz
- Department of Engineering for Innovation Medicine, University of Verona, Verona, Italy
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
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6
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Wang X, Xie Y, Fan X, Wu X, Wang D, Zhu L. Intermittent hypoxia training enhances Aβ endocytosis by plaque associated microglia via VPS35-dependent TREM2 recycling in murine Alzheimer's disease. Alzheimers Res Ther 2024; 16:121. [PMID: 38831312 PMCID: PMC11145795 DOI: 10.1186/s13195-024-01489-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 05/27/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND Beta-amyloid (Aβ) deposition in the brain parenchyma is a crucial initiating step in the amyloid cascade hypothesis of Alzheimer's disease (AD) pathology. Furthermore, dysfunction of plaque-associated microglia, also known as disease-associated microglia (DAM) has been reported to accelerate Aβ deposition and cognitive impairment. Our previous research demonstrated that intermittent hypoxia training (IHT) improved AD pathology by upregulating autophagy in DAM, thereby enhancing oligomeric Aβ (oAβ) clearance. Considering that oAβ internalization is the initial stage of oAβ clearance, this study focused on the IHT mechanism involved in upregulating Aβ uptake by DAM. METHODS IHT was administered to 8-month-old APP/PS1 mice or 6-month-old microglial vacuolar protein sorting 35 (VPS35) knockout mice in APP/PS1 background (MG VPS35 KO: APP/PS1) for 28 days. After the IHT, the spatial learning-memory capacity of the mice was assessed. Additionally, AD pathology was determined by estimating the nerve fiber and synapse density, Aβ plaque deposition, and Aβ load in the brain. A model of Aβ-exposed microglia was constructed and treated with IHT to explore the related mechanism. Finally, triggering receptor expressed on myeloid cells 2 (TREM2) intracellular recycling and Aβ internalization were measured using a fluorescence tracing technique. RESULTS Our results showed that IHT ameliorated cognitive function and Aβ pathology. In particular, IHT enhanced Aβ endocytosis by augmenting the intracellular transport function of microglial TREM2, thereby contributing to Aβ clearance. Furthermore, IHT specifically upregulated VPS35 in DAM, the primary cause for the enhanced intracellular recycling of TREM2. IHT lost ameliorative effect on Aβ pathology in MG VPS35 KO: APP/PS1 mice brain. Lastly, the IHT mechanism of VPS35 upregulation in DAM was mediated by the transcriptional regulation of VPS35 by transcription factor EB (TFEB). CONCLUSION IHT enhances Aβ endocytosis in DAM by upregulating VPS35-dependent TREM2 recycling, thereby facilitating oAβ clearance and mitigation of Aβ pathology. Moreover, the transcriptional regulation of VPS35 by TFEB demonstrates a close link between endocytosis and autophagy in microglia. Our study further elucidates the IHT mechanism in improving AD pathology and provides evidence supporting the potential application of IHT as a complementary therapy for AD.
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Affiliation(s)
- Xueting Wang
- Institute of Special Environmental Medicine, Co-Innovation Center of Neuroregeneration, Nantong University, No.9, Seyuan Road, Chongchuan District, Nantong, Jiangsu, 226009, China.
| | - Yuqi Xie
- Institute of Special Environmental Medicine, Co-Innovation Center of Neuroregeneration, Nantong University, No.9, Seyuan Road, Chongchuan District, Nantong, Jiangsu, 226009, China
| | - Xiaoyang Fan
- Institute of Special Environmental Medicine, Co-Innovation Center of Neuroregeneration, Nantong University, No.9, Seyuan Road, Chongchuan District, Nantong, Jiangsu, 226009, China
| | - Xiaomei Wu
- Institute of Special Environmental Medicine, Co-Innovation Center of Neuroregeneration, Nantong University, No.9, Seyuan Road, Chongchuan District, Nantong, Jiangsu, 226009, China
| | - Dan Wang
- Institute of Special Environmental Medicine, Co-Innovation Center of Neuroregeneration, Nantong University, No.9, Seyuan Road, Chongchuan District, Nantong, Jiangsu, 226009, China
| | - Li Zhu
- Institute of Special Environmental Medicine, Co-Innovation Center of Neuroregeneration, Nantong University, No.9, Seyuan Road, Chongchuan District, Nantong, Jiangsu, 226009, China.
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7
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Cooper JM, Lathuiliere A, Su EJ, Song Y, Torrente D, Jo Y, Weinrich N, Sales JD, Migliorini M, Sisson TH, Lawrence DA, Hyman BT, Strickland DK. SORL1 is a receptor for tau that promotes tau seeding. J Biol Chem 2024; 300:107313. [PMID: 38657864 PMCID: PMC11145553 DOI: 10.1016/j.jbc.2024.107313] [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: 01/05/2024] [Revised: 03/28/2024] [Accepted: 04/15/2024] [Indexed: 04/26/2024] Open
Abstract
Sortilin-related receptor 1 (SORL1) is an intracellular sorting receptor genetically implicated in Alzheimer's disease (AD) that impacts amyloid precursor protein trafficking. The objective of these studies was to test the hypothesis that SORL1 binds tau, modulates its cellular trafficking and impacts the aggregation of cytoplasmic tau induced by pathological forms of tau. Using surface plasmon resonance measurements, we observed high-affinity binding of tau to SORL1 and the vacuolar protein sorting 10 domain of SORL1. Interestingly, unlike LDL receptor-related protein 1, SORL1 binds tau at both pH 7.4 and pH 5.5, revealing its ability to bind tau at endosomal pH. Immunofluorescence studies confirmed that exogenously added tau colocalized with SORL1 in H4 neuroglioma cells, while overexpression of SORL1 in LDL receptor-related protein 1-deficient Chinese hamster ovary (CHO) cells resulted in a marked increase in the internalization of tau, indicating that SORL1 can bind and mediate the internalization of monomeric forms of tau. We further demonstrated that SORL1 mediates tau seeding when tau RD P301S FRET biosensor cells expressing SORL1 were incubated with high molecular weight forms of tau isolated from the brains of patients with AD. Seeding in H4 neuroglioma cells is significantly reduced when SORL1 is knocked down with siRNA. Finally, we demonstrate that the N1358S mutant of SORL1 significantly increases tau seeding when compared to WT SORL1, identifying for the first time a potential mechanism that connects this specific SORL1 mutation to Alzheimer's disease. Together, these studies identify SORL1 as a receptor that contributes to trafficking and seeding of pathogenic tau.
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Affiliation(s)
- Joanna M Cooper
- The Center for Vascular and Inflammatory Diseases, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Aurelien Lathuiliere
- Alzheimer Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA; Department of Rehabilitation and Geriatrics, Memory Center, Geneva University Hospital and University of Geneva, Geneva, Switzerland
| | - Enming J Su
- Department of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Yuyu Song
- Alzheimer Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Daniel Torrente
- Patricia and John Rosenwald Laboratory of Neurobiology and Genetics, The Rockefeller University, New York, New York, USA
| | - Youhwa Jo
- Alzheimer Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Nicholas Weinrich
- The Center for Vascular and Inflammatory Diseases, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jennifer Diaz Sales
- The Center for Vascular and Inflammatory Diseases, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Mary Migliorini
- The Center for Vascular and Inflammatory Diseases, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Thomas H Sisson
- Department of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Daniel A Lawrence
- Department of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Bradley T Hyman
- Alzheimer Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.
| | - Dudley K Strickland
- The Center for Vascular and Inflammatory Diseases, University of Maryland School of Medicine, Baltimore, Maryland, USA; Department of Physiology, University of Maryland School of Medicine, Baltimore, Maryland, USA; Department of Surgery, University of Maryland School of Medicine, Baltimore, Maryland, USA.
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8
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Bhole RP, Chikhale RV, Rathi KM. Current biomarkers and treatment strategies in Alzheimer disease: An overview and future perspectives. IBRO Neurosci Rep 2024; 16:8-42. [PMID: 38169888 PMCID: PMC10758887 DOI: 10.1016/j.ibneur.2023.11.003] [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: 07/13/2023] [Revised: 11/06/2023] [Accepted: 11/09/2023] [Indexed: 01/05/2024] Open
Abstract
Alzheimer's disease (AD), a progressive degenerative disorder first identified by Alois Alzheimer in 1907, poses a significant public health challenge. Despite its prevalence and impact, there is currently no definitive ante mortem diagnosis for AD pathogenesis. By 2050, the United States may face a staggering 13.8 million AD patients. This review provides a concise summary of current AD biomarkers, available treatments, and potential future therapeutic approaches. The review begins by outlining existing drug targets and mechanisms in AD, along with a discussion of current treatment options. We explore various approaches targeting Amyloid β (Aβ), Tau Protein aggregation, Tau Kinases, Glycogen Synthase kinase-3β, CDK-5 inhibitors, Heat Shock Proteins (HSP), oxidative stress, inflammation, metals, Apolipoprotein E (ApoE) modulators, and Notch signaling. Additionally, we examine the historical use of Estradiol (E2) as an AD therapy, as well as the outcomes of Randomized Controlled Trials (RCTs) that evaluated antioxidants (e.g., vitamin E) and omega-3 polyunsaturated fatty acids as alternative treatment options. Notably, positive effects of docosahexaenoic acid nutriment in older adults with cognitive impairment or AD are highlighted. Furthermore, this review offers insights into ongoing clinical trials and potential therapies, shedding light on the dynamic research landscape in AD treatment.
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Affiliation(s)
- Ritesh P. Bhole
- Department of Pharmaceutical Chemistry, Dr. D. Y. Patil institute of Pharmaceutical Sciences & Research, Pimpri, Pune, India
- Dr. D. Y. Patil Dental College and Hospital, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune 411018, India
| | | | - Karishma M. Rathi
- Department of Pharmacy Practice, Dr. D. Y. Patil institute of Pharmaceutical Sciences & Research, Pimpri, Pune, India
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9
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Meshref M, Ghaith HS, Hammad MA, Shalaby MMM, Ayasra F, Monib FA, Attia MS, Ebada MA, Elsayed H, Shalash A, Bahbah EI. The Role of RIN3 Gene in Alzheimer's Disease Pathogenesis: a Comprehensive Review. Mol Neurobiol 2024; 61:3528-3544. [PMID: 37995081 PMCID: PMC11087354 DOI: 10.1007/s12035-023-03802-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/10/2023] [Indexed: 11/24/2023]
Abstract
Alzheimer's disease (AD) is a globally prevalent form of dementia that impacts diverse populations and is characterized by progressive neurodegeneration and impairments in executive memory. Although the exact mechanisms underlying AD pathogenesis remain unclear, it is commonly accepted that the aggregation of misfolded proteins, such as amyloid plaques and neurofibrillary tau tangles, plays a critical role. Additionally, AD is a multifactorial condition influenced by various genetic factors and can manifest as either early-onset AD (EOAD) or late-onset AD (LOAD), each associated with specific gene variants. One gene of particular interest in both EOAD and LOAD is RIN3, a guanine nucleotide exchange factor. This gene plays a multifaceted role in AD pathogenesis. Firstly, upregulation of RIN3 can result in endosomal enlargement and dysfunction, thereby facilitating the accumulation of beta-amyloid (Aβ) peptides in the brain. Secondly, RIN3 has been shown to impact the PICLAM pathway, affecting transcytosis across the blood-brain barrier. Lastly, RIN3 has implications for immune-mediated responses, notably through its influence on the PTK2B gene. This review aims to provide a concise overview of AD and delve into the role of the RIN3 gene in its pathogenesis.
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Affiliation(s)
- Mostafa Meshref
- Department of Neurology, Faculty of Medicine, Al-Azhar University, Cairo, Egypt
| | | | | | | | - Faris Ayasra
- Faculty of Medicine, The Hashemite University, Zarqa, Jordan
| | | | - Mohamed S Attia
- Department of Pharmaceutics, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt
| | | | - Hanaa Elsayed
- Faculty of Medicine, Zagazig University, Zagazig, Egypt
| | - Ali Shalash
- Department of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Eshak I Bahbah
- Faculty of Medicine, Al-Azhar University, Damietta, Egypt.
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10
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Nelson PT, Fardo DW, Wu X, Aung KZ, Cykowski MD, Katsumata Y. Limbic-predominant age-related TDP-43 encephalopathy (LATE-NC): Co-pathologies and genetic risk factors provide clues about pathogenesis. J Neuropathol Exp Neurol 2024; 83:396-415. [PMID: 38613823 PMCID: PMC11110076 DOI: 10.1093/jnen/nlae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/15/2024] Open
Abstract
Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) is detectable at autopsy in more than one-third of people beyond age 85 years and is robustly associated with dementia independent of other pathologies. Although LATE-NC has a large impact on public health, there remain uncertainties about the underlying biologic mechanisms. Here, we review the literature from human studies that may shed light on pathogenetic mechanisms. It is increasingly clear that certain combinations of pathologic changes tend to coexist in aging brains. Although "pure" LATE-NC is not rare, LATE-NC often coexists in the same brains with Alzheimer disease neuropathologic change, brain arteriolosclerosis, hippocampal sclerosis of aging, and/or age-related tau astrogliopathy (ARTAG). The patterns of pathologic comorbidities provide circumstantial evidence of mechanistic interactions ("synergies") between the pathologies, and also suggest common upstream influences. As to primary mediators of vulnerability to neuropathologic changes, genetics may play key roles. Genes associated with LATE-NC include TMEM106B, GRN, APOE, SORL1, ABCC9, and others. Although the anatomic distribution of TDP-43 pathology defines the condition, important cofactors for LATE-NC may include Tau pathology, endolysosomal pathways, and blood-brain barrier dysfunction. A review of the human phenomenology offers insights into disease-driving mechanisms, and may provide clues for diagnostic and therapeutic targets.
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Affiliation(s)
- Peter T Nelson
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, Kentucky, USA
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
| | - David W Fardo
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Xian Wu
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Khine Zin Aung
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
| | - Matthew D Cykowski
- Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA
| | - Yuriko Katsumata
- Department of Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky, USA
- Department of Biostatistics, University of Kentucky, Lexington, Kentucky, USA
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11
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Ahmed H, Wang Y, Griffiths WJ, Levey AI, Pikuleva I, Liang SH, Haider A. Brain cholesterol and Alzheimer's disease: challenges and opportunities in probe and drug development. Brain 2024; 147:1622-1635. [PMID: 38301270 PMCID: PMC11068113 DOI: 10.1093/brain/awae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 12/20/2023] [Accepted: 01/13/2024] [Indexed: 02/03/2024] Open
Abstract
Cholesterol homeostasis is impaired in Alzheimer's disease; however, attempts to modulate brain cholesterol biology have not translated into tangible clinical benefits for patients to date. Several recent milestone developments have substantially improved our understanding of how excess neuronal cholesterol contributes to the pathophysiology of Alzheimer's disease. Indeed, neuronal cholesterol was linked to the formation of amyloid-β and neurofibrillary tangles through molecular pathways that were recently delineated in mechanistic studies. Furthermore, remarkable advances in translational molecular imaging have now made it possible to probe cholesterol metabolism in the living human brain with PET, which is an important prerequisite for future clinical trials that target the brain cholesterol machinery in Alzheimer's disease patients-with the ultimate aim being to develop disease-modifying treatments. This work summarizes current concepts of how the biosynthesis, transport and clearance of brain cholesterol are affected in Alzheimer's disease. Further, current strategies to reverse these alterations by pharmacotherapy are critically discussed in the wake of emerging translational research tools that support the assessment of brain cholesterol biology not only in animal models but also in patients with Alzheimer's disease.
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Affiliation(s)
- Hazem Ahmed
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
- Center for Radiopharmaceutical Sciences ETH-PSI-USZ, Institute of Pharmaceutical Sciences ETH, 8093 Zurich, Switzerland
| | - Yuqin Wang
- Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK
| | - William J Griffiths
- Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK
| | - Allan I Levey
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Irina Pikuleva
- Department of Ophthalmology and Visual Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Steven H Liang
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Ahmed Haider
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Radiology, Division of Nuclear Medicine and Molecular Imaging Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
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12
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Nicolas G. Lessons from genetic studies in Alzheimer disease. Rev Neurol (Paris) 2024; 180:368-377. [PMID: 38429159 DOI: 10.1016/j.neurol.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 12/27/2023] [Indexed: 03/03/2024]
Abstract
Research on Alzheimer disease (AD) genetics has provided critical advances to the knowledge of AD pathophysiological mechanisms. The etiology of AD can be divided into monogenic (autosomal dominant inheritance) and complex (multifactorial determinism). In monogenic AD, recent advances mainly concern mutation-associated mechanisms, presymptomatic clinical studies, and the search for modifiers of ages of onset that are still ongoing. In complex AD, genetic factors can be further categorized into three classes: (i) the APOE-ɛ4 and ɛ2 common alleles that represent a category by themselves as they are both common and with a strong impact on AD risk; (ii) common variants with a modest effect, identified in genome-wide association studies (GWAS); and (iii) rare variants with a moderate-to-strong effect, identified in case-control sequencing studies. Regarding APOE, odds ratios, available in multiple ethnicities, can now be converted into penetrance curves, although such curves remain to be performed in diverse ethnicities. In addition, advances in the understanding of mechanisms have been recently reported and rare APOE variants add to the complexity. In the GWAS category, novel loci have been discovered thanks to larger studies, doubling the number of hits as compared to the previous reference meta-analysis. However, such modest risk factors cannot be used in the clinic, neither individually, nor in genetic risk scores. In the category of rare variants, two novel genes, ABCA1 and ATP8B4 now add to the three main ones, TREM2, SORL1, and ABCA7. The study of such rare variants suggests oligogenic inheritance in some families, as also suggested by digenic penetrance curves for SORL1 loss-of-function variants with APOE-ɛ4. Cumulate frequencies of definite (so-called) rare risk factors are 2.3% to 3.6% (depending on thresholds on odds ratios) in control databases and many more remain to be classified and identified, showing how important these risk factors may be as part of the complex determinism of AD. A better understanding of these rare risk factors and their combined effects on each other, with common variants, and with environmental factors, should allow for a prediction of AD risk and, eventually, preventive medicine. Taken together, most genetic determinants of AD, in monogenic and in complex forms, point toward the aggregation of Aβ as a pivotal triggering factor, such that targeting it may be efficient as prevention in at-risk individuals. The role of neuroinflammation, microglia, and Tau pathology modulation are important sources of research for disease modification.
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Affiliation(s)
- G Nicolas
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, 76000 Rouen, France.
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13
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Mishra S, Jayadev S, Young JE. Differential effects of SORL1 deficiency on the endo-lysosomal network in human neurons and microglia. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220389. [PMID: 38368935 PMCID: PMC10874699 DOI: 10.1098/rstb.2022.0389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 08/27/2023] [Indexed: 02/20/2024] Open
Abstract
The endosomal gene SORL1 is a strong Alzheimer's disease (AD) risk gene that harbours loss-of-function variants causative for developing AD. The SORL1 protein SORL1/SORLA is an endosomal receptor that interacts with the multi-protein sorting complex retromer to traffic various cargo through the endo-lysosomal network (ELN). Impairments in endo-lysosomal trafficking are an early cellular symptom in AD and a novel therapeutic target. However, the cell types of the central nervous system are diverse and use the ELN differently. If this pathway is to be effectively therapeutically targeted, understanding how key molecules in the ELN function in various cell types and how manipulating them affects cell-type specific responses relative to AD is essential. Here, we discuss an example where deficiency of SORL1 expression in a human model leads to stress on early endosomes and recycling endosomes in neurons, but preferentially leads to stress on lysosomes in microglia. The differences observed in these organelles could relate to the unique roles of these cells in the brain as neurons are professional secretory cells and microglia are professional phagocytic cells. Experiments to untangle these differences are fundamental to advancing the understanding of cell biology in AD and elucidating important pathways for therapeutic development. Human-induced pluripotent stem cell models are a valuable platform for such experiments. This article is part of a discussion meeting issue 'Understanding the endo-lysosomal network in neurodegeneration'.
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Affiliation(s)
- Swati Mishra
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98109, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA
| | - Suman Jayadev
- Deparment of Neurology, University of Washington, Seattle, WA 98109, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA
| | - Jessica E. Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98109, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA
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14
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Fazeli E, Fazeli E, Fojtík P, Holstege H, Andersen OM. Functional characterization of SORL1 variants in cell-based assays to investigate variant pathogenicity. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220377. [PMID: 38368933 PMCID: PMC10874698 DOI: 10.1098/rstb.2022.0377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 12/11/2023] [Indexed: 02/20/2024] Open
Abstract
SORLA, the protein encoded by the SORL1 gene, has an important role in recycling cargo proteins to the cell surface. While SORLA loss-of-function variants occur almost exclusively in Alzheimer's disease cases, the majority of SORL1 variants are missense variants that are individually rare and can have individual mechanisms how they impair SORLA function as well as have individual effect size on disease risk. However, since carriers mostly come from small pedigrees, it is challenging to determine variant penetrance, leaving clinical significance associated with most missense variants unclear. In this article, we present functional approaches to evaluate the pathogenicity of a SORL1 variant, p.D1105H. First, we generated our mutant receptor by inserting the D1105H variant into the full-length SORLA-WT receptor. Then using western blot analysis we quantified the effect of the mutation on maturation and shedding of the receptor for transfected cells, and finally applied a flow cytometry approach to quantify SORLA expression at the cell surface. The results showed decreased maturation, decreased shedding, and decreased cell surface expression of D1105H compared with wild-type SORLA. We propose how these approaches can be used to functionally assess the pathogenicity of SORL1 variants in the future. This article is part of a discussion meeting issue 'Understanding the endo-lysosomal network in neurodegeneration'.
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Affiliation(s)
- Elnaz Fazeli
- Department of Biomedicine, Danish Research Institute of Translational Neuroscience, Aarhus University, Aarhus 8000, Denmark
| | - Elham Fazeli
- Department of Biomedicine, Danish Research Institute of Translational Neuroscience, Aarhus University, Aarhus 8000, Denmark
| | - Petr Fojtík
- Department of Biomedicine, Danish Research Institute of Translational Neuroscience, Aarhus University, Aarhus 8000, Denmark
| | - Henne Holstege
- Department of Human Genetics, Amsterdam University Medical Center, Amsterdam Neurosocience, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands
| | - Olav M. Andersen
- Department of Biomedicine, Danish Research Institute of Translational Neuroscience, Aarhus University, Aarhus 8000, Denmark
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15
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Maninger JK, Nowak K, Goberdhan S, O'Donoghue R, Connor-Robson N. Cell type-specific functions of Alzheimer's disease endocytic risk genes. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220378. [PMID: 38368934 PMCID: PMC10874703 DOI: 10.1098/rstb.2022.0378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 09/12/2023] [Indexed: 02/20/2024] Open
Abstract
Endocytosis is a key cellular pathway required for the internalization of cellular nutrients, lipids and receptor-bound cargoes. It is also critical for the recycling of cellular components, cellular trafficking and membrane dynamics. The endocytic pathway has been consistently implicated in Alzheimer's disease (AD) through repeated genome-wide association studies and the existence of rare coding mutations in endocytic genes. BIN1 and PICALM are two of the most significant late-onset AD risk genes after APOE and are both key to clathrin-mediated endocytic biology. Pathological studies also demonstrate that endocytic dysfunction is an early characteristic of late-onset AD, being seen in the prodromal phase of the disease. Different cell types of the brain have specific requirements of the endocytic pathway. Neurons require efficient recycling of synaptic vesicles and microglia use the specialized form of endocytosis-phagocytosis-for their normal function. Therefore, disease-associated changes in endocytic genes will have varied impacts across different cell types, which remains to be fully explored. Given the genetic and pathological evidence for endocytic dysfunction in AD, understanding how such changes and the related cell type-specific vulnerabilities impact normal cellular function and contribute to disease is vital and could present novel therapeutic opportunities. This article is part of a discussion meeting issue 'Understanding the endo-lysosomal network in neurodegeneration'.
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Affiliation(s)
| | - Karolina Nowak
- Cardiff University, Dementia Research Institute, Cardiff University¸ Cardiff, CF24 4HQ, UK
| | - Srilakshmi Goberdhan
- Cardiff University, Dementia Research Institute, Cardiff University¸ Cardiff, CF24 4HQ, UK
| | - Rachel O'Donoghue
- Cardiff University, Dementia Research Institute, Cardiff University¸ Cardiff, CF24 4HQ, UK
| | - Natalie Connor-Robson
- Cardiff University, Dementia Research Institute, Cardiff University¸ Cardiff, CF24 4HQ, UK
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16
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Nicolas G. Recent advances in Alzheimer disease genetics. Curr Opin Neurol 2024; 37:154-165. [PMID: 38235704 DOI: 10.1097/wco.0000000000001242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
PURPOSE OF REVIEW Genetics studies provide important insights into Alzheimer disease (AD) etiology and mechanisms. Critical advances have been made recently, mainly thanks to the access to novel techniques and larger studies. RECENT FINDINGS In monogenic AD, progress has been made with a better understanding of the mechanisms associated with pathogenic variants and the input of clinical studies in presymptomatic individuals. In complex AD, increasing sample sizes in both DNA chip-based (genome-wide association studies, GWAS) and exome/genome sequencing case-control studies unveiled novel common and rare risk factors, while the understanding of their combined effect starts to suggest the existence of rare families with oligogenic inheritance of early-onset, nonmonogenic, AD. SUMMARY Most genetic risk factors with a known consequence designate the aggregation of the Aβ peptide as a core etiological factor in complex AD thus confirming that the research based on monogenic AD - where the amyloid cascade seems more straightforward - is relevant to complex AD as well. Novel mechanistic insights and risk factor studies unveiling novel factors and attempting to combine the effect of common and rare variants will offer promising perspectives for future AD prevention, at least regarding early-onset AD, and probably in case of later onset as well.
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Affiliation(s)
- Gaël Nicolas
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
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17
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Garcia‐Agudo LF, Shi Z, Smith IF, Kramár EA, Tran K, Kawauchi S, Wang S, Collins S, Walker A, Shi K, Neumann J, Liang HY, Da Cunha C, Milinkeviciute G, Morabito S, Miyoshi E, Rezaie N, Gomez‐Arboledas A, Arvilla AM, Ghaemi DI, Tenner AJ, LaFerla FM, Wood MA, Mortazavi A, Swarup V, MacGregor GR, Green KN. BIN1 K358R suppresses glial response to plaques in mouse model of Alzheimer's disease. Alzheimers Dement 2024; 20:2922-2942. [PMID: 38460121 PMCID: PMC11032570 DOI: 10.1002/alz.13767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/16/2024] [Accepted: 01/17/2024] [Indexed: 03/11/2024]
Abstract
INTRODUCTION The BIN1 coding variant rs138047593 (K358R) is linked to Late-Onset Alzheimer's Disease (LOAD) via targeted exome sequencing. METHODS To elucidate the functional consequences of this rare coding variant on brain amyloidosis and neuroinflammation, we generated BIN1K358R knock-in mice using CRISPR/Cas9 technology. These mice were subsequently bred with 5xFAD transgenic mice, which serve as a model for Alzheimer's pathology. RESULTS The presence of the BIN1K358R variant leads to increased cerebral amyloid deposition, with a dampened response of astrocytes and oligodendrocytes, but not microglia, at both the cellular and transcriptional levels. This correlates with decreased neurofilament light chain in both plasma and brain tissue. Synaptic densities are significantly increased in both wild-type and 5xFAD backgrounds homozygous for the BIN1K358R variant. DISCUSSION The BIN1 K358R variant modulates amyloid pathology in 5xFAD mice, attenuates the astrocytic and oligodendrocytic responses to amyloid plaques, decreases damage markers, and elevates synaptic densities. HIGHLIGHTS BIN1 rs138047593 (K358R) coding variant is associated with increased risk of LOAD. BIN1 K358R variant increases amyloid plaque load in 12-month-old 5xFAD mice. BIN1 K358R variant dampens astrocytic and oligodendrocytic response to plaques. BIN1 K358R variant decreases neuronal damage in 5xFAD mice. BIN1 K358R upregulates synaptic densities and modulates synaptic transmission.
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Affiliation(s)
| | - Zechuan Shi
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Ian F. Smith
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Enikö A. Kramár
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Katelynn Tran
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
| | - Shimako Kawauchi
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
- Transgenic Mouse Facility, ULAR, Office of Research, University of CaliforniaIrvineCaliforniaUSA
| | - Shuling Wang
- Transgenic Mouse Facility, ULAR, Office of Research, University of CaliforniaIrvineCaliforniaUSA
| | - Sherilyn Collins
- Transgenic Mouse Facility, ULAR, Office of Research, University of CaliforniaIrvineCaliforniaUSA
| | - Amber Walker
- Transgenic Mouse Facility, ULAR, Office of Research, University of CaliforniaIrvineCaliforniaUSA
| | - Kai‐Xuan Shi
- Transgenic Mouse Facility, ULAR, Office of Research, University of CaliforniaIrvineCaliforniaUSA
| | - Jonathan Neumann
- Transgenic Mouse Facility, ULAR, Office of Research, University of CaliforniaIrvineCaliforniaUSA
| | - Heidi Yahan Liang
- Department of Developmental and Cell BiologyUniversity of CaliforniaIrvineCaliforniaUSA
- Center for Complex Biological Systems, University of CaliforniaIrvineCaliforniaUSA
| | - Celia Da Cunha
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
| | - Giedre Milinkeviciute
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
| | - Samuel Morabito
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Emily Miyoshi
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Narges Rezaie
- Department of Developmental and Cell BiologyUniversity of CaliforniaIrvineCaliforniaUSA
- Center for Complex Biological Systems, University of CaliforniaIrvineCaliforniaUSA
| | - Angela Gomez‐Arboledas
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
| | - Adrian Mendoza Arvilla
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
| | - Daryan Iman Ghaemi
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
| | - Andrea J. Tenner
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
- Department of Molecular Biology & BiochemistryUniversity of CaliforniaIrvineCaliforniaUSA
- Department of Pathology and Laboratory MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Frank M. LaFerla
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
| | - Marcelo A. Wood
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
| | - Ali Mortazavi
- Department of Developmental and Cell BiologyUniversity of CaliforniaIrvineCaliforniaUSA
- Center for Complex Biological Systems, University of CaliforniaIrvineCaliforniaUSA
| | - Vivek Swarup
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
- Center for Complex Biological Systems, University of CaliforniaIrvineCaliforniaUSA
| | - Grant R. MacGregor
- Transgenic Mouse Facility, ULAR, Office of Research, University of CaliforniaIrvineCaliforniaUSA
- Department of Developmental and Cell BiologyUniversity of CaliforniaIrvineCaliforniaUSA
| | - Kim N. Green
- Department of Neurobiology and BehaviorUniversity of CaliforniaIrvineCaliforniaUSA
- Institute for Memory Impairments and Neurological Disorders, University of CaliforniaIrvineCaliforniaUSA
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18
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Umoh IO, Dos Reis HJ, de Oliveira ACP. Molecular Mechanisms Linking Osteoarthritis and Alzheimer's Disease: Shared Pathways, Mechanisms and Breakthrough Prospects. Int J Mol Sci 2024; 25:3044. [PMID: 38474288 DOI: 10.3390/ijms25053044] [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: 12/31/2023] [Revised: 02/04/2024] [Accepted: 02/09/2024] [Indexed: 03/14/2024] Open
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disease mostly affecting the elderly population. It is characterized by cognitive decline that occurs due to impaired neurotransmission and neuronal death. Even though deposition of amyloid beta (Aβ) peptides and aggregation of hyperphosphorylated TAU have been established as major pathological hallmarks of the disease, other factors such as the interaction of genetic and environmental factors are believed to contribute to the development and progression of AD. In general, patients initially present mild forgetfulness and difficulty in forming new memories. As it progresses, there are significant impairments in problem solving, social interaction, speech and overall cognitive function of the affected individual. Osteoarthritis (OA) is the most recurrent form of arthritis and widely acknowledged as a whole-joint disease, distinguished by progressive degeneration and erosion of joint cartilage accompanying synovitis and subchondral bone changes that can prompt peripheral inflammatory responses. Also predominantly affecting the elderly, OA frequently embroils weight-bearing joints such as the knees, spine and hips leading to pains, stiffness and diminished joint mobility, which in turn significantly impacts the patient's standard of life. Both infirmities can co-occur in older adults as a result of independent factors, as multiple health conditions are common in old age. Additionally, risk factors such as genetics, lifestyle changes, age and chronic inflammation may contribute to both conditions in some individuals. Besides localized peripheral low-grade inflammation, it is notable that low-grade systemic inflammation prompted by OA can play a role in AD pathogenesis. Studies have explored relationships between systemic inflammatory-associated diseases like obesity, hypertension, dyslipidemia, diabetes mellitus and AD. Given that AD is the most common form of dementia and shares similar risk factors with OA-both being age-related and low-grade inflammatory-associated diseases, OA may indeed serve as a risk factor for AD. This work aims to review literature on molecular mechanisms linking OA and AD pathologies, and explore potential connections between these conditions alongside future prospects and innovative treatments.
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Affiliation(s)
- Idiongo Okon Umoh
- Departamento de Farmacologia, Instituto de Ciências Biológicas, Federal University of Minas Gerais, Av. Antonio Carlos 6627, Belo Horizonte 31270-901, MG, Brazil
| | - Helton Jose Dos Reis
- Departamento de Farmacologia, Instituto de Ciências Biológicas, Federal University of Minas Gerais, Av. Antonio Carlos 6627, Belo Horizonte 31270-901, MG, Brazil
| | - Antonio Carlos Pinheiro de Oliveira
- Departamento de Farmacologia, Instituto de Ciências Biológicas, Federal University of Minas Gerais, Av. Antonio Carlos 6627, Belo Horizonte 31270-901, MG, Brazil
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19
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Firdaus Z, Li X. Unraveling the Genetic Landscape of Neurological Disorders: Insights into Pathogenesis, Techniques for Variant Identification, and Therapeutic Approaches. Int J Mol Sci 2024; 25:2320. [PMID: 38396996 PMCID: PMC10889342 DOI: 10.3390/ijms25042320] [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: 01/18/2024] [Revised: 02/09/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Genetic abnormalities play a crucial role in the development of neurodegenerative disorders (NDDs). Genetic exploration has indeed contributed to unraveling the molecular complexities responsible for the etiology and progression of various NDDs. The intricate nature of rare and common variants in NDDs contributes to a limited understanding of the genetic risk factors associated with them. Advancements in next-generation sequencing have made whole-genome sequencing and whole-exome sequencing possible, allowing the identification of rare variants with substantial effects, and improving the understanding of both Mendelian and complex neurological conditions. The resurgence of gene therapy holds the promise of targeting the etiology of diseases and ensuring a sustained correction. This approach is particularly enticing for neurodegenerative diseases, where traditional pharmacological methods have fallen short. In the context of our exploration of the genetic epidemiology of the three most prevalent NDDs-amyotrophic lateral sclerosis, Alzheimer's disease, and Parkinson's disease, our primary goal is to underscore the progress made in the development of next-generation sequencing. This progress aims to enhance our understanding of the disease mechanisms and explore gene-based therapies for NDDs. Throughout this review, we focus on genetic variations, methodologies for their identification, the associated pathophysiology, and the promising potential of gene therapy. Ultimately, our objective is to provide a comprehensive and forward-looking perspective on the emerging research arena of NDDs.
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Affiliation(s)
- Zeba Firdaus
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA;
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
| | - Xiaogang Li
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA;
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
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20
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Carreras Mascaro A, Grochowska MM, Boumeester V, Dits NFJ, Bilgiҫ EN, Breedveld GJ, Vergouw L, de Jong FJ, van Royen ME, Bonifati V, Mandemakers W. LRP10 and α-synuclein transmission in Lewy body diseases. Cell Mol Life Sci 2024; 81:75. [PMID: 38315424 PMCID: PMC10844361 DOI: 10.1007/s00018-024-05135-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 01/13/2024] [Accepted: 01/21/2024] [Indexed: 02/07/2024]
Abstract
Autosomal dominant variants in LRP10 have been identified in patients with Lewy body diseases (LBDs), including Parkinson's disease (PD), Parkinson's disease-dementia (PDD), and dementia with Lewy bodies (DLB). Nevertheless, there is little mechanistic insight into the role of LRP10 in disease pathogenesis. In the brains of control individuals, LRP10 is typically expressed in non-neuronal cells like astrocytes and neurovasculature, but in idiopathic and genetic cases of PD, PDD, and DLB, it is also present in α-synuclein-positive neuronal Lewy bodies. These observations raise the questions of what leads to the accumulation of LRP10 in Lewy bodies and whether a possible interaction between LRP10 and α-synuclein plays a role in disease pathogenesis. Here, we demonstrate that wild-type LRP10 is secreted via extracellular vesicles (EVs) and can be internalised via clathrin-dependent endocytosis. Additionally, we show that LRP10 secretion is highly sensitive to autophagy inhibition, which induces the formation of atypical LRP10 vesicular structures in neurons in human-induced pluripotent stem cells (iPSC)-derived brain organoids. Furthermore, we show that LRP10 overexpression leads to a strong induction of monomeric α-synuclein secretion, together with time-dependent, stress-sensitive changes in intracellular α-synuclein levels. Interestingly, patient-derived astrocytes carrying the c.1424 + 5G > A LRP10 variant secrete aberrant high-molecular-weight species of LRP10 in EV-free media fractions. Finally, we show that this truncated patient-derived LRP10 protein species (LRP10splice) binds to wild-type LRP10, reduces LRP10 wild-type levels, and antagonises the effect of LRP10 on α-synuclein levels and distribution. Together, this work provides initial evidence for a possible functional role of LRP10 in LBDs by modulating intra- and extracellular α-synuclein levels, and pathogenic mechanisms linked to the disease-associated c.1424 + 5G > A LRP10 variant, pointing towards potentially important disease mechanisms in LBDs.
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Affiliation(s)
- Ana Carreras Mascaro
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Martyna M Grochowska
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Valerie Boumeester
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Natasja F J Dits
- Department of Urology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ece Naz Bilgiҫ
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Guido J Breedveld
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Leonie Vergouw
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Frank Jan de Jong
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Martin E van Royen
- Department of Pathology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Vincenzo Bonifati
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Wim Mandemakers
- Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands.
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21
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Fazeli E, Child DD, Bucks SA, Stovarsky M, Edwards G, Rose SE, Yu CE, Latimer C, Kitago Y, Bird T, Jayadev S, Andersen OM, Young JE. A familial missense variant in the Alzheimer's disease gene SORL1 impairs its maturation and endosomal sorting. Acta Neuropathol 2024; 147:20. [PMID: 38244079 PMCID: PMC10799806 DOI: 10.1007/s00401-023-02670-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 11/11/2023] [Accepted: 12/16/2023] [Indexed: 01/22/2024]
Abstract
The SORL1 gene has recently emerged as a strong Alzheimer's Disease (AD) risk gene. Over 500 different variants have been identified in the gene and the contribution of individual variants to AD development and progression is still largely unknown. Here, we describe a family consisting of 2 parents and 5 offspring. Both parents were affected with dementia and one had confirmed AD pathology with an age of onset > 75 years. All offspring were affected with AD with ages at onset ranging from 53 years to 74 years. DNA was available from the parent with confirmed AD and 5 offspring. We identified a coding variant, p.(Arg953Cys), in SORL1 in 5 of 6 individuals affected by AD. Notably, variant carriers had severe AD pathology, and the SORL1 variant segregated with TDP-43 pathology (LATE-NC). We further characterized this variant and show that this Arginine substitution occurs at a critical position in the YWTD-domain of the SORL1 translation product, SORL1. Functional studies further show that the p.R953C variant leads to retention of the SORL1 protein in the endoplasmic reticulum which leads to decreased maturation and shedding of the receptor and prevents its normal endosomal trafficking. Together, our analysis suggests that p.R953C is a pathogenic variant of SORL1 and sheds light on mechanisms of how missense SORL1 variants may lead to AD.
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Affiliation(s)
- Elnaz Fazeli
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, 8000, Aarhus C, Denmark
| | - Daniel D Child
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98109, USA
| | - Stephanie A Bucks
- Department of Neurology, University of Washington, Seattle, WA, 98195, USA
| | - Miki Stovarsky
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, 98195, USA
| | - Gabrielle Edwards
- Department of Neurology, University of Washington, Seattle, WA, 98195, USA
| | - Shannon E Rose
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98109, USA
| | - Chang-En Yu
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, 98195, USA
- Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Health Care System, Seattle, WA, 98108, USA
| | - Caitlin Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98109, USA
| | - Yu Kitago
- Ann Romney Center for Neurologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Thomas Bird
- Department of Neurology, University of Washington, Seattle, WA, 98195, USA
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, 98195, USA
- Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Health Care System, Seattle, WA, 98108, USA
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA, 98195, USA.
| | - Olav M Andersen
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, 8000, Aarhus C, Denmark.
| | - Jessica E Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98109, USA.
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22
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Sahayasheela VJ, Sugiyama H. RNA G-quadruplex in functional regulation of noncoding RNA: Challenges and emerging opportunities. Cell Chem Biol 2024; 31:53-70. [PMID: 37909035 DOI: 10.1016/j.chembiol.2023.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/12/2023] [Accepted: 08/22/2023] [Indexed: 11/02/2023]
Abstract
G-quadruplexes (G4s) are stable, noncanonical structures formed in guanine (G)-rich sequences of DNA/RNA. G4 structures are reported to play a regulatory role in various cellular processes and, recently, a considerable number of studies have attributed new biological functions to these structures, especially in RNA. Noncoding RNA (ncRNA), which does not translate into a functional protein, is widely expressed and has been shown to play a key role in shaping cellular activity. There has been growing evidence of G4 formation in several ncRNA classes, and it has been identified as a key part for diverse biological functions and physio-pathological contexts in neurodegenerative diseases and cancer. This review discusses RNA G4s (rG4s) in ncRNA, focusing on the molecular mechanism underlying its function. This review also aims to highlight potential and emerging opportunities to identify and target the rG4s in ncRNA to understand its function and, ultimately, treat many diseases.
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Affiliation(s)
- Vinodh J Sahayasheela
- Department of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo-Ku, Kyoto 606-8502, Japan
| | - Hiroshi Sugiyama
- Department of Chemistry, Graduate School of Science, Kyoto University, Kitashirakawa-Oiwakecho, Sakyo-Ku, Kyoto 606-8502, Japan; Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Yoshida-Ushinomaecho, Sakyo-Ku, Kyoto 606-8501, Japan.
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23
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Santillán-Morales V, Rodriguez-Espinosa N, Muñoz-Estrada J, Alarcón-Elizalde S, Acebes Á, Benítez-King G. Biomarkers in Alzheimer's Disease: Are Olfactory Neuronal Precursors Useful for Antemortem Biomarker Research? Brain Sci 2024; 14:46. [PMID: 38248261 PMCID: PMC10813897 DOI: 10.3390/brainsci14010046] [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: 11/16/2023] [Revised: 12/09/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024] Open
Abstract
Alzheimer's disease (AD), as the main cause of dementia, affects millions of people around the world, whose diagnosis is based mainly on clinical criteria. Unfortunately, the diagnosis is obtained very late, when the neurodegenerative damage is significant for most patients. Therefore, the exhaustive study of biomarkers is indispensable for diagnostic, prognostic, and even follow-up support. AD is a multifactorial disease, and knowing its underlying pathological mechanisms is crucial to propose new and valuable biomarkers. In this review, we summarize some of the main biomarkers described in AD, which have been evaluated mainly by imaging studies in cerebrospinal fluid and blood samples. Furthermore, we describe and propose neuronal precursors derived from the olfactory neuroepithelium as a potential resource to evaluate some of the widely known biomarkers of AD and to gear toward searching for new biomarkers. These neuronal lineage cells, which can be obtained directly from patients through a non-invasive and outpatient procedure, display several characteristics that validate them as a surrogate model to study the central nervous system, allowing the analysis of AD pathophysiological processes. Moreover, the ease of obtaining and harvesting endows them as an accessible and powerful resource to evaluate biomarkers in clinical practice.
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Affiliation(s)
- Valeria Santillán-Morales
- Laboratory of Neuropharmacology, Clinical Research, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City 14370, Mexico; (V.S.-M.); (S.A.-E.)
| | - Norberto Rodriguez-Espinosa
- Department of Neurology, University Hospital Nuestra Señora de Candelaria, 38010 Tenerife, Spain;
- Department of Internal Medicine, Dermatology and Psychiatry, Faculty of Health Sciences, University of La Laguna (ULL), 38200 Tenerife, Spain
| | - Jesús Muñoz-Estrada
- Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, CA 90069, USA;
| | - Salvador Alarcón-Elizalde
- Laboratory of Neuropharmacology, Clinical Research, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City 14370, Mexico; (V.S.-M.); (S.A.-E.)
| | - Ángel Acebes
- Department of Basic Medical Sciences, Institute of Biomedical Technologies (ITB), University of La Laguna (ULL), 38200 Tenerife, Spain
| | - Gloria Benítez-King
- Laboratory of Neuropharmacology, Clinical Research, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City 14370, Mexico; (V.S.-M.); (S.A.-E.)
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24
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Mishra S, Knupp A, Kinoshita C, Williams CA, Rose SE, Martinez R, Theofilas P, Young JE. Pharmacologic enhancement of retromer rescues endosomal pathology induced by defects in the Alzheimer's gene SORL1. Stem Cell Reports 2023; 18:2434-2450. [PMID: 37949073 PMCID: PMC10724056 DOI: 10.1016/j.stemcr.2023.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 11/12/2023] Open
Abstract
The SORL1 gene (SORLA) is strongly associated with risk of developing Alzheimer's disease (AD). SORLA is a regulator of endosomal trafficking in neurons and interacts with retromer, a complex that is a "master conductor" of endosomal trafficking. Small molecules can increase retromer expression in vitro, enhancing its function. We treated hiPSC-derived cortical neurons that are either fully deficient, haploinsufficient, or that harbor one copy of SORL1 variants linked to AD with TPT-260, a retromer-enhancing molecule. We show significant increases in retromer subunit VPS26B expression. We tested whether endosomal, amyloid, and TAU pathologies were corrected. We observed that the degree of rescue by TPT-260 treatment depended on the number of copies of functional SORL1 and which SORL1 variant was expressed. Using a disease-relevant preclinical model, our work illuminates how the SORL1-retromer pathway can be therapeutically harnessed.
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Affiliation(s)
- Swati Mishra
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Allison Knupp
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Chizuru Kinoshita
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - C Andrew Williams
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Shannon E Rose
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Refugio Martinez
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Panos Theofilas
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jessica E Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98195, USA.
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25
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Bauer C, Duplan E, Saint-George-Hyslop P, Checler F. Potentially Pathogenic SORL1 Mutations Observed in Autosomal-Dominant Cases of Alzheimer's Disease Do Not Modulate APP Physiopathological Processing. Cells 2023; 12:2802. [PMID: 38132122 PMCID: PMC10742224 DOI: 10.3390/cells12242802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/24/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023] Open
Abstract
The SORL1 gene encodes LR11/SorLA, a protein that binds β-amyloid precursor protein (APP) and drives its intracellular trafficking. SORL1 mutations, occurring frequently in a subset of familial cases of Alzheimer's disease (AD), have been documented, but their pathogenic potential is not yet clear and questions remain concerning their putative influence on the physiopathological processing of APP. We have assessed the influence of two SORL1 mutations that were described as likely disease-causing and that were associated with either benign (SorLA924) or severe (SorLA511) AD phenotypes. We examined the influence of wild-type and mutants SorLA in transiently transfected HEK293 cells expressing either wild-type or Swedish mutated APP on APP expression, secreted Aβ and sAPPα levels, intracellular Aβ 40 and Aβ42 peptides, APP-CTFs (C99 and C83) expressions, α-, β- and γ-secretases expressions and activities as well as Aβ and CTFs-degrading enzymes. These paradigms were studied in control conditions or after pharmacological proteasomal modulation. We also established stably transfected CHO cells expressing wild-type SorLA and established the colocalization of APP and either wild-type or mutant SorLA. SorLA mutations partially disrupt co-localization of wild-type sorLA with APP. Overall, although we mostly confirmed previous data concerning the influence of wild-type SorLA on APP processing, we were unable to evidence significant alterations triggered by our set of SorLA mutants, whatever the cells or pharmacological conditions examined. Our study , however, does not rule out the possibility that other AD-linked SORL1 mutations could indeed affect APP processing, and that pathogenic mutations examined in the present study could interfere with other cellular pathways/triggers in AD.
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Affiliation(s)
- Charlotte Bauer
- INSERM, CNRS, IPMC, Team Labeled “Laboratory of Excellence (LABEX) Distalz”, Université Côte d’Azur, 660 Route des Lucioles, Sophia-Antipolis, 06560 Valbonne, France; (C.B.); (E.D.)
| | - Eric Duplan
- INSERM, CNRS, IPMC, Team Labeled “Laboratory of Excellence (LABEX) Distalz”, Université Côte d’Azur, 660 Route des Lucioles, Sophia-Antipolis, 06560 Valbonne, France; (C.B.); (E.D.)
| | - Peter Saint-George-Hyslop
- Center for Research in Neurodegenerative Diseases, Department of Medicine, Toronto Western Hospital Research Institute, University Health Network, University of Toronto, Toronto, ON M5G 1L7, Canada;
| | - Frédéric Checler
- INSERM, CNRS, IPMC, Team Labeled “Laboratory of Excellence (LABEX) Distalz”, Université Côte d’Azur, 660 Route des Lucioles, Sophia-Antipolis, 06560 Valbonne, France; (C.B.); (E.D.)
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Singh S, Mahajan M, Kumar D, Singh K, Chowdhary M, Amit. An inclusive study of recent advancements in Alzheimer's disease: A comprehensive review. Neuropeptides 2023; 102:102369. [PMID: 37611472 DOI: 10.1016/j.npep.2023.102369] [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: 06/17/2023] [Revised: 08/08/2023] [Accepted: 08/11/2023] [Indexed: 08/25/2023]
Abstract
Alzheimer's disease (AD) has remained elusive in revealing its pathophysiology and mechanism of development. In this review paper, we attempt to highlight several theories that abound about the exact pathway of AD development. The number of cases worldwide has prompted a constant flow of research to detect high-risk patients, slow the progression of the disease and discover improved methods of treatment that may prove effective. We shall focus on the two main classes of drugs that are currently in use; and emerging ones with novel mechanisms that are under development. As of late there has also been increased attention towards factors that were previously thought to be unrelated to AD, such as the gut microbiome, lifestyle habits, and diet. Studies have now shown that all these factors make an impact on AD progression, thus bringing to our attention more areas that could hold the key to combating this disease. This paper covers all the aforementioned factors concisely. We also briefly explore the relationship between mental health and AD, both before and after the diagnosis of the disease.
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Affiliation(s)
- Sukanya Singh
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India
| | - Mitali Mahajan
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India
| | - Dhawal Kumar
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India
| | - Kunika Singh
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India
| | - Mehvish Chowdhary
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India
| | - Amit
- Department of Zoology, Hansraj College, University of Delhi, New Delhi, Delhi 110007, India.
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27
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Li D, Farrell JJ, Mez J, Martin ER, Bush WS, Ruiz A, Boada M, de Rojas I, Mayeux R, Haines JL, Vance MAP, Wang LS, Schellenberg GD, Lunetta KL, Farrer LA. Novel loci for Alzheimer's disease identified by a genome-wide association study in Ashkenazi Jews. Alzheimers Dement 2023; 19:5550-5562. [PMID: 37260021 PMCID: PMC10689571 DOI: 10.1002/alz.13117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/29/2023] [Accepted: 04/11/2023] [Indexed: 06/02/2023]
Abstract
INTRODUCTION Most Alzheimer's disease (AD) loci have been discovered in individuals with European ancestry (EA). METHODS We applied principal component analysis using Gaussian mixture models and an Ashkenazi Jewish (AJ) reference genome-wide association study (GWAS) data set to identify Ashkenazi Jews ascertained in GWAS (n = 42,682), whole genome sequencing (WGS, n = 16,815), and whole exome sequencing (WES, n = 20,504) data sets. The association of AD was tested genome wide (GW) in the GWAS and WGS data sets and exome wide (EW) in all three data sets (EW). Gene-based analyses were performed using aggregated rare variants. RESULTS In addition to apolipoprotein E (APOE), GW analyses (1355 cases and 1661 controls) revealed associations with TREM2 R47H (p = 9.66 × 10-9 ), rs541586606 near RAB3B (p = 5.01 × 10-8 ), and rs760573036 between SPOCK3 and ANXA10 (p = 6.32 × 10-8 ). In EW analyses (1504 cases and 2047 controls), study-wide significant association was observed with rs1003710 near SMAP2 (p = 1.91 × 10-7 ). A significant gene-based association was identified with GIPR (p = 7.34 × 10-7 ). DISCUSSION Our results highlight the efficacy of founder populations for AD genetic studies.
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Affiliation(s)
- Donghe Li
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - John J Farrell
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Jesse Mez
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Eden R. Martin
- Dr. John T. Macdonald Foundation, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, University of Miami, Miami, FL 33136, USA
| | - William S. Bush
- Department of Population & Quantitative Health Science and Cleveland Institute for Computational Biology, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, USA
| | - Agustin Ruiz
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, 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, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Itziar de Rojas
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Richard Mayeux
- Taub Institute on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center Department of Neurology, Columbia University, 710 West 168th Street, New York, NY 10032, USA
| | - Jonathan L. Haines
- Department of Population & Quantitative Health Science and Cleveland Institute for Computational Biology, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, USA
| | - Margaret A. Pericak Vance
- Dr. John T. Macdonald Foundation, University of Miami, Miami, FL 33136, USA
- Department of Human Genetics, University of Miami, Miami, FL 33136, USA
- Department of Neurology, University of Miami, Miami, FL 33136, USA
| | - Li-San Wang
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Gerard D. Schellenberg
- Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Kathryn L. Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
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28
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Vannutelli A, Ouangraoua A, Perreault JP. Toward a Better Understanding of G4 Evolution in the 3 Living Kingdoms. Evol Bioinform Online 2023; 19:11769343231212075. [PMID: 38046653 PMCID: PMC10693206 DOI: 10.1177/11769343231212075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 10/18/2023] [Indexed: 12/05/2023] Open
Abstract
Background G-quadruplexes (G4s) are secondary structures in DNA and RNA that impact various cellular processes, such as transcription, splicing, and translation. Due to their numerous functions, G4s are involved in many diseases, making their study important. Yet, G4s evolution remains largely unknown, due to their low sequence similarity and the poor quality of their sequence alignments across several species. To address this, we designed a strategy that avoids direct G4s alignment to study G4s evolution in the 3 species kingdoms. We also explored the coevolution between RBPs and G4s. Methods We retrieved one-to-one orthologous genes from the Ensembl Compara database and computed groups of one-to-one orthologous genes. For each group, we aligned gene sequences and identified G4 families as groups of overlapping G4s in the alignment. We analyzed these G4 families using Count, a tool to infer feature evolution into a gene or a species tree. Additionally, we utilized these G4 families to predict G4s by homology. To establish a control dataset, we performed mono-, di- and tri-nucleotide shuffling. Results Only a few conserved G4s occur among all living kingdoms. In eukaryotes, G4s exhibit slight conservation among vertebrates, and few are conserved between plants. In archaea and bacteria, at most, only 2 G4s are common. The G4 homology-based prediction increases the number of conserved G4s in common ancestors. The coevolution between RNA-binding proteins and G4s was investigated and revealed a modest impact of RNA-binding proteins evolution on G4 evolution. However, the details of this relationship remain unclear. Conclusion Even if G4 evolution still eludes us, the present study provides key information to compute groups of homologous G4 and to reveal the evolution history of G4 families.
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Affiliation(s)
- Anaïs Vannutelli
- Département de biochimie et de génomique fonctionnelle, faculté de médecine et des sciences de la santé, pavillon de recherche appliquée sur le cancer, Université de Sherbrooke, Sherbrooke, QC, Canada
- Département d’informatique, faculté des sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Aïda Ouangraoua
- Département d’informatique, faculté des sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Jean-Pierre Perreault
- Département de biochimie et de génomique fonctionnelle, faculté de médecine et des sciences de la santé, pavillon de recherche appliquée sur le cancer, Université de Sherbrooke, Sherbrooke, QC, Canada
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29
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Robbins M. Therapies for Tau-associated neurodegenerative disorders: targeting molecules, synapses, and cells. Neural Regen Res 2023; 18:2633-2637. [PMID: 37449601 PMCID: PMC10358644 DOI: 10.4103/1673-5374.373670] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/14/2023] [Accepted: 03/15/2023] [Indexed: 07/18/2023] Open
Abstract
Advances in experimental and computational technologies continue to grow rapidly to provide novel avenues for the treatment of neurodegenerative disorders. Despite this, there remain only a handful of drugs that have shown success in late-stage clinical trials for Tau-associated neurodegenerative disorders. The most commonly prescribed treatments are symptomatic treatments such as cholinesterase inhibitors and N-methyl-D-aspartate receptor blockers that were approved for use in Alzheimer's disease. As diagnostic screening can detect disorders at earlier time points, the field needs pre-symptomatic treatments that can prevent, or significantly delay the progression of these disorders (Koychev et al., 2019). These approaches may be different from late-stage treatments that may help to ameliorate symptoms and slow progression once symptoms have become more advanced should early diagnostic screening fail. This mini-review will highlight five key avenues of academic and industrial research for identifying therapeutic strategies to treat Tau-associated neurodegenerative disorders. These avenues include investigating (1) the broad class of chemicals termed "small molecules"; (2) adaptive immunity through both passive and active antibody treatments; (3) innate immunity with an emphasis on microglial modulation; (4) synaptic compartments with the view that Tau-associated neurodegenerative disorders are synaptopathies. Although this mini-review will focus on Alzheimer's disease due to its prevalence, it will also argue the need to target other tauopathies, as through understanding Alzheimer's disease as a Tau-associated neurodegenerative disorder, we may be able to generalize treatment options. For this reason, added detail linking back specifically to Tau protein as a direct therapeutic target will be added to each topic.
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Affiliation(s)
- Miranda Robbins
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Francis Crick Ave, Trumpington, Cambridge, UK; University of Cambridge, Department of Zoology, Cambridge, UK
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30
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Fazeli E, Child DD, Bucks SA, Stovarsky M, Edwards G, Rose SE, Yu CE, Latimer C, Kitago Y, Bird T, Jayadev S, Andersen OM, Young JE. A familial missense variant in the Alzheimer's Disease gene SORL1 impairs its maturation and endosomal sorting. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.01.547348. [PMID: 37461597 PMCID: PMC10349966 DOI: 10.1101/2023.07.01.547348] [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] [Indexed: 07/24/2023]
Abstract
The SORL1 gene has recently emerged as a strong Alzheimer's Disease (AD) risk gene. Over 500 different variants have been identified in the gene and the contribution of individual variants to AD development and progression is still largely unknown. Here, we describe a family consisting of 2 parents and 5 offspring. Both parents were affected with dementia and one had confirmed AD pathology with an age of onset >75 years. All offspring were affected with AD with ages at onset ranging from 53yrs-74yrs. DNA was available from the parent with confirmed AD and 5 offspring. We identified a coding variant, p.(Arg953Cys), in SORL1 in 5 of 6 individuals affected by AD. Notably, variant carriers had severe AD pathology, and the SORL1 variant segregated with TDP-43 pathology (LATE-NC). We further characterized this variant and show that this Arginine substitution occurs at a critical position in the YWTD-domain of the SORL1 translation product, SORL1. Functional studies further show that the p.R953C variant leads to retention of the SORL1 protein in the endoplasmic reticulum which leads to decreased maturation and shedding of the receptor and prevents its normal endosomal trafficking. Together, our analysis suggests that p.R953C is a pathogenic variant of SORL1 and sheds light on mechanisms of how missense SORL1 variants may lead to AD.
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Affiliation(s)
- Elnaz Fazeli
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, DK8000 AarhusC, Denmark
| | - Daniel D. Child
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
| | - Stephanie A. Bucks
- Department of Neurology, University of Washington, Seattle Washington USA
| | - Miki Stovarsky
- Department of Medicine, Division of Medical Genetics University of Washington, Seattle Washington USA
| | - Gabrielle Edwards
- Department of Neurology, University of Washington, Seattle Washington USA
| | - Shannon E. Rose
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
| | - Chang-En Yu
- Department of Medicine, Division of Medical Genetics University of Washington, Seattle Washington USA
- Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Health Care System
| | - Caitlin Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
| | - Yu Kitago
- Ann Romney Center for Neurologic Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA 02115
| | - Thomas Bird
- Department of Neurology, University of Washington, Seattle Washington USA
- Department of Medicine, Division of Medical Genetics University of Washington, Seattle Washington USA
- Geriatric Research Education and Clinical Center (GRECC), Veterans Administration Health Care System
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle Washington USA
| | - Olav M. Andersen
- Department of Biomedicine, Aarhus University, Høegh-Guldbergs Gade 10, DK8000 AarhusC, Denmark
| | - Jessica E. Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle Washington USA
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Chaoul V, Dib EY, Bedran J, Khoury C, Shmoury O, Harb F, Soueid J. Assessing Drug Administration Techniques in Zebrafish Models of Neurological Disease. Int J Mol Sci 2023; 24:14898. [PMID: 37834345 PMCID: PMC10573323 DOI: 10.3390/ijms241914898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/30/2023] [Accepted: 08/31/2023] [Indexed: 10/15/2023] Open
Abstract
Neurological diseases, including neurodegenerative and neurodevelopmental disorders, affect nearly one in six of the world's population. The burden of the resulting deaths and disability is set to rise during the next few decades as a consequence of an aging population. To address this, zebrafish have become increasingly prominent as a model for studying human neurological diseases and exploring potential therapies. Zebrafish offer numerous benefits, such as genetic homology and brain similarities, complementing traditional mammalian models and serving as a valuable tool for genetic screening and drug discovery. In this comprehensive review, we highlight various drug delivery techniques and systems employed for therapeutic interventions of neurological diseases in zebrafish, and evaluate their suitability. We also discuss the challenges encountered during this process and present potential advancements in innovative techniques.
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Affiliation(s)
- Victoria Chaoul
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon; (V.C.); (J.B.); (O.S.)
| | - Emanuel-Youssef Dib
- Department of Biomedical Sciences, Faculty of Medicine and Medical Sciences, University of Balamand, Kalhat P.O. Box 100, Lebanon; (E.-Y.D.); (C.K.)
| | - Joe Bedran
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon; (V.C.); (J.B.); (O.S.)
| | - Chakib Khoury
- Department of Biomedical Sciences, Faculty of Medicine and Medical Sciences, University of Balamand, Kalhat P.O. Box 100, Lebanon; (E.-Y.D.); (C.K.)
| | - Omar Shmoury
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon; (V.C.); (J.B.); (O.S.)
| | - Frédéric Harb
- Department of Biomedical Sciences, Faculty of Medicine and Medical Sciences, University of Balamand, Kalhat P.O. Box 100, Lebanon; (E.-Y.D.); (C.K.)
| | - Jihane Soueid
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon; (V.C.); (J.B.); (O.S.)
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32
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Mantyh WG, Cochran JN, Taylor JW, Broce IJ, Geier EG, Bonham LW, Anderson AG, Sirkis DW, Joie RL, Iaccarino L, Chaudhary K, Edwards L, Strom A, Grant H, Allen IE, Miller ZA, Gorno‐Tempini ML, Kramer JH, Miller BL, Desikan RS, Rabinovici GD, Yokoyama JS. Early-onset Alzheimer's disease explained by polygenic risk of late-onset disease? ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12482. [PMID: 37780862 PMCID: PMC10535074 DOI: 10.1002/dad2.12482] [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: 04/21/2023] [Revised: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 10/03/2023]
Abstract
Early-onset Alzheimer's disease (AD) is highly heritable, yet only 10% of cases are associated with known pathogenic mutations. For early-onset AD patients without an identified autosomal dominant cause, we hypothesized that their early-onset disease reflects further enrichment of the common risk-conferring single nucleotide polymorphisms associated with late-onset AD. We applied a previously validated polygenic hazard score for late-onset AD to 193 consecutive patients diagnosed at our tertiary dementia referral center with symptomatic early-onset AD. For comparison, we included 179 participants with late-onset AD and 70 healthy controls. Polygenic hazard scores were similar in early- versus late-onset AD. The polygenic hazard score was not associated with age-of-onset or disease biomarkers within early-onset AD. Early-onset AD does not represent an extreme enrichment of the common single nucleotide polymorphisms associated with late-onset AD. Further exploration of novel genetic risk factors of this highly heritable disease is warranted.Highlights: There is a unique genetic architecture of early- versus late-onset Alzheimer's disease (AD).Late-onset AD polygenic risk is not an explanation for early-onset AD.Polygenic risk of late-onset AD does not predict early-onset AD biology.Unique genetic architecture of early- versus late-onset AD parallels AD heterogeneity.
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Affiliation(s)
- William G. Mantyh
- Department of NeurologyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | | | | | - Iris J. Broce
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Ethan G. Geier
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Luke W. Bonham
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | | | - Daniel W. Sirkis
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Renaud La Joie
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Leonardo Iaccarino
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Kiran Chaudhary
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Lauren Edwards
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Amelia Strom
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Harli Grant
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Isabel E. Allen
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Zachary A. Miller
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Marilu L. Gorno‐Tempini
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Joel H. Kramer
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Bruce L. Miller
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Rahul S. Desikan
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Life Sciences DivisionLawrence Berkeley National LaboratoryBerkeleyCaliforniaUSA
| | - Jennifer S. Yokoyama
- Memory and Aging CenterDepartment of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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Klein M, Failla AV, Hermey G. Internally tagged Vps10p-domain receptors reveal uptake of the neurotrophin BDNF. J Biol Chem 2023; 299:105216. [PMID: 37660918 PMCID: PMC10540051 DOI: 10.1016/j.jbc.2023.105216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/14/2023] [Accepted: 08/18/2023] [Indexed: 09/05/2023] Open
Abstract
The Vps10p-domain (Vps10p-D) receptor family consists of Sortilin, SorLA, SorCS1, SorCS2, and SorCS3. They mediate internalization and intracellular sorting of specific cargo in various cell types, but underlying molecular determinants are incompletely understood. Deciphering the dynamic intracellular itineraries of Vps10p-D receptors is crucial for understanding their role in physiological and cytopathological processes. However, studying their spatial and temporal dynamics by live imaging has been challenging so far, as terminal tagging with fluorophores presumably impedes several of their protein interactions and thus functions. Here, we addressed the lack of appropriate tools and developed functional versions of all family members internally tagged in their ectodomains. We predict folding of the newly designed receptors by bioinformatics and show their exit from the endoplasmic reticulum. We examined their subcellular localization in immortalized cells and primary cultured neurons by immunocytochemistry and live imaging. This was, as far as known, identical to that of wt counterparts. We observed homodimerization of fluorophore-tagged SorCS2 by coimmunoprecipitation and fluorescence lifetime imaging, suggesting functional leucine-rich domains. Through ligand uptake experiments, live imaging and fluorescence lifetime imaging, we show for the first time that all Vps10p-D receptors interact with the neurotrophin brain-derived neurotrophic factor and mediate its uptake, indicating functionality of the Vps10p-Ds. In summary, we developed versions of all Vps10p-D receptors, with internal fluorophore tags that preserve several functions of the cytoplasmic and extracellular domains. These newly developed fluorophore-tagged receptors are likely to serve as powerful functional tools for accurate live studies of the individual cellular functions of Vps10p-D receptors.
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Affiliation(s)
- Marcel Klein
- Institute for Molecular and Cellular Cognition, Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | | | - Guido Hermey
- Institute for Molecular and Cellular Cognition, Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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Young JE, Holstege H, Andersen OM, Petsko GA, Small SA. On the causal role of retromer-dependent endosomal recycling in Alzheimer's disease. Nat Cell Biol 2023; 25:1394-1397. [PMID: 37803174 PMCID: PMC10788784 DOI: 10.1038/s41556-023-01245-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Abstract
Recent findings ranging from genetics to structural biology, together with studies in human neurons, animal models and patient brains, implicate the retromer-dependent endosomal recycling pathway as both causal and common in Alzheimer’s disease.
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Affiliation(s)
- Jessica E Young
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Henne Holstege
- Genomics of Neurodegenerative Diseases and Aging, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Olav M Andersen
- Danish Research Institute of Translational Neuroscience (DANDRITE), Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Gregory A Petsko
- Department of Neurology and the Ann Romney Center for Neurologic Diseases, Harvard Medical School and Brigham & Women's Hospital, Boston, MA, USA
| | - Scott A Small
- Department of Neurology, Columbia University, New York, NY, USA.
- The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA.
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35
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Febbraro F, Andersen HHB, Kitt MM, Willnow TE. Spatially and temporally distinct patterns of expression for VPS10P domain receptors in human cerebral organoids. Front Cell Dev Biol 2023; 11:1229584. [PMID: 37842085 PMCID: PMC10570844 DOI: 10.3389/fcell.2023.1229584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/28/2023] [Indexed: 10/17/2023] Open
Abstract
Vacuolar protein sorting 10 protein (VPS10P) domain receptors are a unique class of intracellular sorting receptors that emerge as major risk factors associated with psychiatric and neurodegenerative diseases, including bipolar disorders, autism, schizophrenia, as well as Alzheimer's disease and frontotemporal dementia. Yet, the lack of suitable experimental models to study receptor functions in the human brain has hampered elucidation of receptor actions in brain disease. Here, we have adapted protocols using human cerebral organoids to the detailed characterization of VPS10P domain receptor expression during neural development and differentiation, including single-cell RNA sequencing. Our studies uncovered spatial and temporal patterns of expression unique to individual receptor species in the human brain. While SORL1 expression is abundant in stem cells and SORCS1 peaks in neural progenitors at onset of neurogenesis, SORT1 and SORCS2 show increasing expression with maturation of neuronal and non-neuronal cell types, arguing for distinct functions in development versus the adult brain. In neurons, subcellular localization also distinguishes between types of receptor species, either mainly localized to the cell soma (SORL1 and SORT1) or also to neuronal projections (SORCS1 and SORCS2), suggesting divergent functions in protein sorting between Golgi and the endo-lysosomal system or along axonal and dendritic tracks. Taken together, our findings provide an important resource on temporal, spatial, and subcellular patterns of VPS10P domain receptor expression in cerebral organoids for further elucidation of receptor (dys) functions causative of behavioral and cognitive defects of the human brain.
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Affiliation(s)
- Fabia Febbraro
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | | | - Meagan M. Kitt
- Max Delbrueck Center for Molecular Medicine, Charité—Universitätsmedizin Berlin, Berlin, Germany
| | - Thomas E. Willnow
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Max Delbrueck Center for Molecular Medicine, Charité—Universitätsmedizin Berlin, Berlin, Germany
- Max Delbrueck Center for Molecular Medicine, Berlin, Germany
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36
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Monti G, Vincke C, Lunding M, Jensen AMG, Madsen P, Muyldermans S, Kjolby M, Andersen OM. Epitope mapping of nanobodies binding the Alzheimer's disease receptor SORLA. J Biotechnol 2023; 375:17-27. [PMID: 37634829 DOI: 10.1016/j.jbiotec.2023.08.005] [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: 05/09/2023] [Revised: 08/20/2023] [Accepted: 08/24/2023] [Indexed: 08/29/2023]
Abstract
Reduced levels of the Sortilin-related receptor with A-type repeats (SORLA) in different brain regions as well as in the cerebrospinal fluid have been associated with Alzheimer's disease. Methods and reagents to develop reliable detection assays to quantify SORLA and its specific isoforms are therefore much needed. Nanobodies (Nbs) are unique biomolecules derived from the blood of camelids that display advantageous physicochemical and antigen affinity properties, making them attractive tools with great relevance to both diagnostic and therapeutic applications. Here, we purified and characterized eight Nbs that were isolated from the blood of an alpaca immunized with the recombinant extracellular domain of SORLA. The selected Nbs showed high affinity to SORLA in the low nanomolar range as observed by surface plasmon resonance. For mapping of the Nbs' epitopes within the antigen, we transiently transfected HEK293 cells with a panel of SORLA deletion constructs, and developed a protocol of immunostaining by applying fluorescent dye conjugated Nbs. With this method, we showed that the selected Nbs specifically recognize a part of SORLA containing Fibronectin-type III domains, representing promising tools not only for disease clarifying research, but also for translational medicine as candidates for clinical diagnostic purposes.
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Affiliation(s)
- Giulia Monti
- Department of Biomedicine, Aarhus University, Høegh‑Guldbergs Gade 10, 8000 Aarhus C, Denmark
| | - Cécile Vincke
- Laboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium; Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium
| | - Melanie Lunding
- Department of Biomedicine, Aarhus University, Høegh‑Guldbergs Gade 10, 8000 Aarhus C, Denmark
| | - Anne Mette G Jensen
- Department of Biomedicine, Aarhus University, Høegh‑Guldbergs Gade 10, 8000 Aarhus C, Denmark
| | - Peder Madsen
- Department of Biomedicine, Aarhus University, Høegh‑Guldbergs Gade 10, 8000 Aarhus C, Denmark
| | - Serge Muyldermans
- Laboratory of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium
| | - Mads Kjolby
- Department of Biomedicine, Aarhus University, Høegh‑Guldbergs Gade 10, 8000 Aarhus C, Denmark; Department of Clinical Pharmacology and Steno Diabetes Center Aarhus, Aarhus University Hospital, Denmark
| | - Olav M Andersen
- Department of Biomedicine, Aarhus University, Høegh‑Guldbergs Gade 10, 8000 Aarhus C, Denmark.
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37
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Naskar A, Nayak A, Salaikumaran MR, Vishal SS, Gopal PP. Phase separation and pathologic transitions of RNP condensates in neurons: implications for amyotrophic lateral sclerosis, frontotemporal dementia and other neurodegenerative disorders. Front Mol Neurosci 2023; 16:1242925. [PMID: 37720552 PMCID: PMC10502346 DOI: 10.3389/fnmol.2023.1242925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/21/2023] [Indexed: 09/19/2023] Open
Abstract
Liquid-liquid phase separation results in the formation of dynamic biomolecular condensates, also known as membrane-less organelles, that allow for the assembly of functional compartments and higher order structures within cells. Multivalent, reversible interactions between RNA-binding proteins (RBPs), including FUS, TDP-43, and hnRNPA1, and/or RNA (e.g., RBP-RBP, RBP-RNA, RNA-RNA), result in the formation of ribonucleoprotein (RNP) condensates, which are critical for RNA processing, mRNA transport, stability, stress granule assembly, and translation. Stress granules, neuronal transport granules, and processing bodies are examples of cytoplasmic RNP condensates, while the nucleolus and Cajal bodies are representative nuclear RNP condensates. In neurons, RNP condensates promote long-range mRNA transport and local translation in the dendrites and axon, and are essential for spatiotemporal regulation of gene expression, axonal integrity and synaptic function. Mutations of RBPs and/or pathologic mislocalization and aggregation of RBPs are hallmarks of several neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and Alzheimer's disease. ALS/FTD-linked mutations of RBPs alter the strength and reversibility of multivalent interactions with other RBPs and RNAs, resulting in aberrant phase transitions. These aberrant RNP condensates have detrimental functional consequences on mRNA stability, localization, and translation, and ultimately lead to compromised axonal integrity and synaptic function in disease. Pathogenic protein aggregation is dependent on various factors, and aberrant dynamically arrested RNP condensates may serve as an initial nucleation step for pathologic aggregate formation. Recent studies have focused on identifying mechanisms by which neurons resolve phase transitioned condensates to prevent the formation of pathogenic inclusions/aggregates. The present review focuses on the phase separation of neurodegenerative disease-linked RBPs, physiological functions of RNP condensates, and the pathologic role of aberrant phase transitions in neurodegenerative disease, particularly ALS/FTD. We also examine cellular mechanisms that contribute to the resolution of aberrant condensates in neurons, and potential therapeutic approaches to resolve aberrantly phase transitioned condensates at a molecular level.
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Affiliation(s)
- Aditi Naskar
- Department of Pathology, Yale School of Medicine, New Haven, CT, United States
| | - Asima Nayak
- Department of Pathology, Yale School of Medicine, New Haven, CT, United States
| | | | - Sonali S. Vishal
- Department of Pathology, Yale School of Medicine, New Haven, CT, United States
| | - Pallavi P. Gopal
- Department of Pathology, Yale School of Medicine, New Haven, CT, United States
- Program in Cellular Neuroscience, Neurodegeneration, and Repair, Yale School of Medicine, New Haven, CT, United States
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38
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Logue MW, Dasgupta S, Farrer LA. Genetics of Alzheimer's Disease in the African American Population. J Clin Med 2023; 12:5189. [PMID: 37629231 PMCID: PMC10455208 DOI: 10.3390/jcm12165189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 08/02/2023] [Accepted: 08/06/2023] [Indexed: 08/27/2023] Open
Abstract
Black/African American (AA) individuals have a higher risk of Alzheimer's disease (AD) than White non-Hispanic persons of European ancestry (EUR) for reasons that may include economic disparities, cardiovascular health, quality of education, and biases in the methods used to diagnose AD. AD is also heritable, and some of the differences in risk may be due to genetics. Many AD-associated variants have been identified by candidate gene studies, genome-wide association studies (GWAS), and genome-sequencing studies. However, most of these studies have been performed using EUR cohorts. In this paper, we review the genetics of AD and AD-related traits in AA individuals. Importantly, studies of genetic risk factors in AA cohorts can elucidate the molecular mechanisms underlying AD risk in AA and other populations. In fact, such studies are essential to enable reliable precision medicine approaches in persons with considerable African ancestry. Furthermore, genetic studies of AA cohorts allow exploration of the ways the impact of genes can vary by ancestry, culture, and economic and environmental disparities. They have yielded important gains in our knowledge of AD genetics, and increasing AA individual representation within genetic studies should remain a priority for inclusive genetic study design.
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Affiliation(s)
- Mark W. Logue
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA 02130, USA;
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Shoumita Dasgupta
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Medical Sciences and Education, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| | - Lindsay A. Farrer
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
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Olufunmilayo EO, Holsinger RMD. Roles of Non-Coding RNA in Alzheimer's Disease Pathophysiology. Int J Mol Sci 2023; 24:12498. [PMID: 37569871 PMCID: PMC10420049 DOI: 10.3390/ijms241512498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 07/25/2023] [Accepted: 08/03/2023] [Indexed: 08/13/2023] Open
Abstract
Alzheimer's disease (AD) is a chronic neurodegenerative disorder that is accompanied by deficits in memory and cognitive functions. The disease is pathologically characterised by the accumulation and aggregation of an extracellular peptide referred to as amyloid-β (Aβ) in the form of amyloid plaques and the intracellular aggregation of a hyperphosphorelated protein tau in the form of neurofibrillary tangles (NFTs) that cause neuroinflammation, synaptic dysfunction, and oxidative stress. The search for pathomechanisms leading to disease onset and progression has identified many key players that include genetic, epigenetic, behavioural, and environmental factors, which lend support to the fact that this is a multi-faceted disease where failure in various systems contributes to disease onset and progression. Although the vast majority of individuals present with the sporadic (non-genetic) form of the disease, dysfunctions in numerous protein-coding and non-coding genes have been implicated in mechanisms contributing to the disease. Recent studies have provided strong evidence for the association of non-coding RNAs (ncRNAs) with AD. In this review, we highlight the current findings on changes observed in circular RNA (circRNA), microRNA (miRNA), short interfering RNA (siRNA), piwi-interacting RNA (piRNA), and long non-coding RNA (lncRNA) in AD. Variations in these ncRNAs could potentially serve as biomarkers or therapeutic targets for the diagnosis and treatment of Alzheimer's disease. We also discuss the results of studies that have targeted these ncRNAs in cellular and animal models of AD with a view for translating these findings into therapies for Alzheimer's disease.
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Affiliation(s)
- Edward O. Olufunmilayo
- Laboratory of Molecular Neuroscience and Dementia, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia;
- Department of Medicine, University College Hospital, Queen Elizabeth Road, Oritamefa, Ibadan 200212, Nigeria
| | - R. M. Damian Holsinger
- Laboratory of Molecular Neuroscience and Dementia, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia;
- Neuroscience, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
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40
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Quan M, Cao S, Wang Q, Wang S, Jia J. Genetic Phenotypes of Alzheimer's Disease: Mechanisms and Potential Therapy. PHENOMICS (CHAM, SWITZERLAND) 2023; 3:333-349. [PMID: 37589021 PMCID: PMC10425323 DOI: 10.1007/s43657-023-00098-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 01/28/2023] [Accepted: 02/02/2023] [Indexed: 08/18/2023]
Abstract
Years of intensive research has brought us extensive knowledge on the genetic and molecular factors involved in Alzheimer's disease (AD). In addition to the mutations in the three main causative genes of familial AD (FAD) including presenilins and amyloid precursor protein genes, studies have identified several genes as the most plausible genes for the onset and progression of FAD, such as triggering receptor expressed on myeloid cells 2, sortilin-related receptor 1, and adenosine triphosphate-binding cassette transporter subfamily A member 7. The apolipoprotein E ε4 allele is reported to be the strongest genetic risk factor for sporadic AD (SAD), and it also plays an important role in FAD. Here, we reviewed recent developments in genetic and molecular studies that contributed to the understanding of the genetic phenotypes of FAD and compared them with SAD. We further reviewed the advancements in AD gene therapy and discussed the future perspectives based on the genetic phenotypes.
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Affiliation(s)
- Meina Quan
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
- National Medical Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, 100053 China
| | - Shuman Cao
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
| | - Qi Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
- National Medical Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, 100053 China
| | - Shiyuan Wang
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China
- National Medical Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, 100053 China
- Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, 100053 China
- Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, 100053 China
- Center of Alzheimer’s Disease, Collaborative Innovation Center for Brain Disorders, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, 100053 China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, 100053 China
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41
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Horimoto AR, Boyken LA, Blue EE, Grinde KE, Nafikov RA, Sohi HK, Nato AQ, Bis JC, Brusco LI, Morelli L, Ramirez A, Dalmasso MC, Temple S, Satizabal C, Browning SR, Seshadri S, Wijsman EM, Thornton TA. Admixture mapping implicates 13q33.3 as ancestry-of-origin locus for Alzheimer disease in Hispanic and Latino populations. HGG ADVANCES 2023; 4:100207. [PMID: 37333771 PMCID: PMC10276158 DOI: 10.1016/j.xhgg.2023.100207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 05/16/2023] [Indexed: 06/20/2023] Open
Abstract
Alzheimer disease (AD) is the most common form of senile dementia, with high incidence late in life in many populations including Caribbean Hispanic (CH) populations. Such admixed populations, descended from more than one ancestral population, can present challenges for genetic studies, including limited sample sizes and unique analytical constraints. Therefore, CH populations and other admixed populations have not been well represented in studies of AD, and much of the genetic variation contributing to AD risk in these populations remains unknown. Here, we conduct genome-wide analysis of AD in multiplex CH families from the Alzheimer Disease Sequencing Project (ADSP). We developed, validated, and applied an implementation of a logistic mixed model for admixture mapping with binary traits that leverages genetic ancestry to identify ancestry-of-origin loci contributing to AD. We identified three loci on chromosome 13q33.3 associated with reduced risk of AD, where associations were driven by Native American (NAM) ancestry. This AD admixture mapping signal spans the FAM155A, ABHD13, TNFSF13B, LIG4, and MYO16 genes and was supported by evidence for association in an independent sample from the Alzheimer's Genetics in Argentina-Alzheimer Argentina consortium (AGA-ALZAR) study with considerable NAM ancestry. We also provide evidence of NAM haplotypes and key variants within 13q33.3 that segregate with AD in the ADSP whole-genome sequencing data. Interestingly, the widely used genome-wide association study approach failed to identify associations in this region. Our findings underscore the potential of leveraging genetic ancestry diversity in recently admixed populations to improve genetic mapping, in this case for AD-relevant loci.
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Affiliation(s)
| | - Lisa A. Boyken
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Elizabeth E. Blue
- Division of Medical Genetics/Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
| | - Kelsey E. Grinde
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Department of Mathematics, Statistics and Computer Science, Macalester College, Saint Paul, MN 55105, USA
| | - Rafael A. Nafikov
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Division of Medical Genetics/Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Harkirat K. Sohi
- Division of Medical Genetics/Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Biomedical and Health Informatics Program, University of Washington, Seattle, WA 98195, USA
| | - Alejandro Q. Nato
- Division of Medical Genetics/Department of Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Biomedical Sciences, Joan C. Edwards School of Medicine, Marshall University, Huntington, WV 25755, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Luis I. Brusco
- CENECON - Center of Behavioural Neurology and Neuropsychiatry, School of Medicine, University of Buenos Aires, C1121A6B Buenos Aires, Argentina
| | - Laura Morelli
- Laboratory of Brain Aging and Neurodegeneration-Fundación Instituto Leloir-IIBBA- National Scientific and Technical Research Council (CONICET), C1405BWE Ciudad Autónoma de Buenos Aires, Argentina
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, 50937 Cologne, Germany
- Department of Neurodegeneration and Gerontopsychiatry, University of Bonn, 53127 Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), 53127 Bonn, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD) University of Cologne, 50674 Cologne, Germany
- Department of Psychiatry, UT Health San Antonio, San Antonio, TX 78229, USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Maria Carolina Dalmasso
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, University of Cologne, Medical Faculty, 50937 Cologne, Germany
- Neurosciences and Complex Systems Unit (EnyS), CONICET, Hospital El Cruce, National University A. Jauretche (UNAJ), B1888AAE Florencio Varela, Argentina
| | - Seth Temple
- Department of Statistics, University of Washington, Seattle, WA 98195, USA
| | - Claudia Satizabal
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX 78229, USA
- Department of Population Health Sciences, University of Texas, San Antonio, TX 78229, USA
- Department of Neurology, University of Texas, San Antonio, TX 78229, USA
| | - Sharon R. Browning
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Sudha Seshadri
- Department of Neurology, University of Texas, San Antonio, TX 78229, USA
| | - Ellen M. Wijsman
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Division of Medical Genetics/Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Timothy A. Thornton
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Department of Statistics, University of Washington, Seattle, WA 98195, USA
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Lambert JC, Ramirez A, Grenier-Boley B, Bellenguez C. Step by step: towards a better understanding of the genetic architecture of Alzheimer's disease. Mol Psychiatry 2023; 28:2716-2727. [PMID: 37131074 PMCID: PMC10615767 DOI: 10.1038/s41380-023-02076-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 05/04/2023]
Abstract
Alzheimer's disease (AD) is considered to have a large genetic component. Our knowledge of this component has progressed over the last 10 years, thanks notably to the advent of genome-wide association studies and the establishment of large consortia that make it possible to analyze hundreds of thousands of cases and controls. The characterization of dozens of chromosomal regions associated with the risk of developing AD and (in some loci) the causal genes responsible for the observed disease signal has confirmed the involvement of major pathophysiological pathways (such as amyloid precursor protein metabolism) and opened up new perspectives (such as the central role of microglia and inflammation). Furthermore, large-scale sequencing projects are starting to reveal the major impact of rare variants - even in genes like APOE - on the AD risk. This increasingly comprehensive knowledge is now being disseminated through translational research; in particular, the development of genetic risk/polygenic risk scores is helping to identify the subpopulations more at risk or less at risk of developing AD. Although it is difficult to assess the efforts still needed to comprehensively characterize the genetic component of AD, several lines of research can be improved or initiated. Ultimately, genetics (in combination with other biomarkers) might help to redefine the boundaries and relationships between various neurodegenerative diseases.
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Affiliation(s)
- Jean-Charles Lambert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France.
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Benjamin Grenier-Boley
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Céline Bellenguez
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
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Carosi JM, Denton D, Kumar S, Sargeant TJ. Receptor Recycling by Retromer. Mol Cell Biol 2023; 43:317-334. [PMID: 37350516 PMCID: PMC10348044 DOI: 10.1080/10985549.2023.2222053] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 06/01/2023] [Indexed: 06/24/2023] Open
Abstract
The highly conserved retromer complex controls the fate of hundreds of receptors that pass through the endolysosomal system and is a central regulatory node for diverse metabolic programs. More than 20 years ago, retromer was discovered as an essential regulator of endosome-to-Golgi transport in yeast; since then, significant progress has been made to characterize how metazoan retromer components assemble to enable its engagement with endosomal membranes, where it sorts cargo receptors from endosomes to the trans-Golgi network or plasma membrane through recognition of sorting motifs in their cytoplasmic tails. In this review, we examine retromer regulation by exploring its assembled structure with an emphasis on how a range of adaptor proteins shape the process of receptor trafficking. Specifically, we focus on how retromer is recruited to endosomes, selects cargoes, and generates tubulovesicular carriers that deliver cargoes to target membranes. We also examine how cells adapt to distinct metabolic states by coordinating retromer expression and function. We contrast similarities and differences between retromer and its related complexes: retriever and commander/CCC, as well as their interplay in receptor trafficking. We elucidate how loss of retromer regulation is central to the pathology of various neurogenerative and metabolic diseases, as well as microbial infections, and highlight both opportunities and cautions for therapeutics that target retromer. Finally, with a focus on understanding the mechanisms that govern retromer regulation, we outline new directions for the field moving forward.
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Affiliation(s)
- Julian M. Carosi
- Lysosomal Health in Ageing, Lifelong Health, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
- Centre for Cancer Biology, University of South Australia (UniSA), Adelaide, South Australia, Australia
- School of Biological Sciences, Faculty of Sciences, Engineering and Technology, The University of Adelaide, Adelaide, South Australia, Australia
| | - Donna Denton
- Centre for Cancer Biology, University of South Australia (UniSA), Adelaide, South Australia, Australia
| | - Sharad Kumar
- Centre for Cancer Biology, University of South Australia (UniSA), Adelaide, South Australia, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Timothy J. Sargeant
- Lysosomal Health in Ageing, Lifelong Health, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia
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Wu S, Yang F, Chao S, Wang B, Wang W, Li H, Yu L, He L, Li X, Sun L, Qin S. Altered DNA methylome profiles of blood leukocytes in Chinese patients with mild cognitive impairment and Alzheimer's disease. Front Genet 2023; 14:1175864. [PMID: 37388929 PMCID: PMC10300350 DOI: 10.3389/fgene.2023.1175864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 06/01/2023] [Indexed: 07/01/2023] Open
Abstract
Objective: DNA methylation plays a potential role in the pathogenesis of Alzheimer's disease (AD). However, little is known about the global changes of blood leukocyte DNA methylome profiles from Chinese patients with mild cognitive impairment (MCI) and with AD, or the specific DNA methylation-based signatures associated with MCI and AD. In this study, we sought to dissect the characteristics of blood DNA methylome profiles in MCI- and AD-affected Chinese patients with the aim of identifying novel DNA methylation biomarkers for AD. Methods: In this study, we profiled the DNA methylome of peripheral blood leukocytes from 20 MCI- and 20 AD-affected Chinese patients and 20 cognitively healthy controls (CHCs) with the Infinium Methylation EPIC BeadChip array. Results: We identified significant alterations of the methylome profiles in MCI and AD blood leukocytes. A total of 2,582 and 20,829 CpG sites were significantly and differentially methylated in AD and MCI compared with CHCs (adjusted p < 0.05), respectively. Furthermore, 441 differentially methylated positions (DMPs), aligning to 213 unique genes, were overlapped by the three comparative groups of AD versus CHCs, MCI versus CHCs, and AD versus MCI, of which 6 and 5 DMPs were continuously hypermethylated and hypomethylated in MCI and AD relative to CHCs (adjusted p < 0.05), respectively, such as FLNC cg20186636 and AFAP1 cg06758191. The DMPs with an area under the curve >0.900, such as cg18771300, showed high potency for predicting MCI and AD. In addition, gene ontology and pathway enrichment results showed that these overlapping genes were mainly involved in neurotransmitter transport, GABAergic synaptic transmission, signal release from synapse, neurotransmitter secretion, and the regulation of neurotransmitter levels. Furthermore, tissue expression enrichment analysis revealed a subset of potentially cerebral cortex-enriched genes associated with MCI and AD, including SYT7, SYN3, and KCNT1. Conclusion: This study revealed a number of potential biomarkers for MCI and AD, also highlighted the presence of epigenetically dysregulated gene networks that may engage in the underlying pathological events resulting in the onset of cognitive impairment and AD progression. Collectively, this study provides prospective cues for developing therapeutic strategies to improve cognitive impairment and AD course.
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Affiliation(s)
- Shaochang Wu
- Department of Geriatrics, Lishui Second People’s Hospital, Lishui, China
| | - Fan Yang
- Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
- Research Center for Lin He Academician New Medicine, Institutes for Shanghai Pudong Decoding Life, Shanghai, China
| | - Shan Chao
- Research Center for Lin He Academician New Medicine, Institutes for Shanghai Pudong Decoding Life, Shanghai, China
| | - Bo Wang
- Research Center for Lin He Academician New Medicine, Institutes for Shanghai Pudong Decoding Life, Shanghai, China
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wuqian Wang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
- Research Center for Lin He Academician New Medicine, Institutes for Shanghai Pudong Decoding Life, Shanghai, China
| | - He Li
- Department of Geriatrics, Lishui Second People’s Hospital, Lishui, China
| | - Limei Yu
- Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Lin He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Xingwang Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Liya Sun
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
- Research Center for Lin He Academician New Medicine, Institutes for Shanghai Pudong Decoding Life, Shanghai, China
- Shanghai Mental Health Center, Editorial Office, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shengying Qin
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
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Wijesinghe P, Xi J, Cui J, Campbell M, Pham W, Matsubara JA. MicroRNAs in tear fluids predict underlying molecular changes associated with Alzheimer's disease. Life Sci Alliance 2023; 6:e202201757. [PMID: 36941055 PMCID: PMC10027899 DOI: 10.26508/lsa.202201757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/22/2023] Open
Abstract
Extracellular circulating microRNAs (miRNAs) have been discussed as potential biomarkers for Alzheimer's disease (AD) diagnosis. As the retina is a part of the CNS, we hypothesize that miRNAs expression levels in the brain, particularly neocortex-hippocampus, eye tissues, and tear fluids are similar at different stages of AD progression. Ten miRNA candidates were systematically investigated in transgenic APP-PS1 mice, noncarrier siblings, and C57BL/6J wild-type controls at young and old ages. Relative expression levels of tested miRNAs revealed a similar pattern in both APP-PS1 mice and noncarrier siblings when compared with age- and sex-matched wild-type controls. However, the differences seen in expression levels between APP-PS1 mice and noncarrier siblings could possibly have resulted from underlying molecular etiology of AD. Importantly, miRNAs associated with amyloid beta (Aβ) production (-101a, -15a, and -342) and proinflammation (-125b, -146a, and -34a) showed significant up-regulations in the tear fluids with disease progression, as tracked by cortical Aβ load and reactive astrogliosis. Overall, for the first time, the translational potential of up-regulated tear fluid miRNAs associated with AD pathogenesis was comprehensively demonstrated.
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Affiliation(s)
- Printha Wijesinghe
- Department of Ophthalmology & Visual Sciences, Faculty of Medicine, The University of British Columbia, Eye Care Centre, Vancouver, Canada
| | - Jeanne Xi
- Department of Ophthalmology & Visual Sciences, Faculty of Medicine, The University of British Columbia, Eye Care Centre, Vancouver, Canada
| | - Jing Cui
- Department of Ophthalmology & Visual Sciences, Faculty of Medicine, The University of British Columbia, Eye Care Centre, Vancouver, Canada
| | - Matthew Campbell
- Department of Ophthalmology & Visual Sciences, Faculty of Medicine, The University of British Columbia, Eye Care Centre, Vancouver, Canada
| | - Wellington Pham
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Centre, Nashville, TN, USA
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Joanne A Matsubara
- Department of Ophthalmology & Visual Sciences, Faculty of Medicine, The University of British Columbia, Eye Care Centre, Vancouver, Canada
- Djavad Mowafaghian Centre for Brain Health, The University of British Columbia, Vancouver, Canada
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Young-Pearse TL, Lee H, Hsieh YC, Chou V, Selkoe DJ. Moving beyond amyloid and tau to capture the biological heterogeneity of Alzheimer's disease. Trends Neurosci 2023; 46:426-444. [PMID: 37019812 PMCID: PMC10192069 DOI: 10.1016/j.tins.2023.03.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/28/2023] [Accepted: 03/09/2023] [Indexed: 04/05/2023]
Abstract
Alzheimer's disease (AD) manifests along a spectrum of cognitive deficits and levels of neuropathology. Genetic studies support a heterogeneous disease mechanism, with around 70 associated loci to date, implicating several biological processes that mediate risk for AD. Despite this heterogeneity, most experimental systems for testing new therapeutics are not designed to capture the genetically complex drivers of AD risk. In this review, we first provide an overview of those aspects of AD that are largely stereotyped and those that are heterogeneous, and we review the evidence supporting the concept that different subtypes of AD are important to consider in the design of agents for the prevention and treatment of the disease. We then dive into the multifaceted biological domains implicated to date in AD risk, highlighting studies of the diverse genetic drivers of disease. Finally, we explore recent efforts to identify biological subtypes of AD, with an emphasis on the experimental systems and data sets available to support progress in this area.
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Affiliation(s)
- Tracy L Young-Pearse
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Hyo Lee
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Yi-Chen Hsieh
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Vicky Chou
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Dennis J Selkoe
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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Vijay Kumar MJ, Morales R, Tsvetkov AS. G-quadruplexes and associated proteins in aging and Alzheimer's disease. FRONTIERS IN AGING 2023; 4:1164057. [PMID: 37323535 PMCID: PMC10267416 DOI: 10.3389/fragi.2023.1164057] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 05/17/2023] [Indexed: 06/17/2023]
Abstract
Aging is a prominent risk factor for many neurodegenerative disorders, such as Alzheimer's disease (AD). Alzheimer's disease is characterized by progressive cognitive decline, memory loss, and neuropsychiatric and behavioral symptoms, accounting for most of the reported dementia cases. This disease is now becoming a major challenge and burden on modern society, especially with the aging population. Over the last few decades, a significant understanding of the pathophysiology of AD has been gained by studying amyloid deposition, hyperphosphorylated tau, synaptic dysfunction, oxidative stress, calcium dysregulation, and neuroinflammation. This review focuses on the role of non-canonical secondary structures of DNA/RNA G-quadruplexes (G4s, G4-DNA, and G4-RNA), G4-binding proteins (G4BPs), and helicases, and their roles in aging and AD. Being critically important for cellular function, G4s are involved in the regulation of DNA and RNA processes, such as replication, transcription, translation, RNA localization, and degradation. Recent studies have also highlighted G4-DNA's roles in inducing DNA double-strand breaks that cause genomic instability and G4-RNA's participation in regulating stress granule formation. This review emphasizes the significance of G4s in aging processes and how their homeostatic imbalance may contribute to the pathophysiology of AD.
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Affiliation(s)
- M. J. Vijay Kumar
- The Department of Neurology, The University of Texas McGovern Medical School at Houston, Houston, TX, United States
| | - Rodrigo Morales
- The Department of Neurology, The University of Texas McGovern Medical School at Houston, Houston, TX, United States
- Centro Integrativo de Biologia y Quimica Aplicada (CIBQA), Universidad Bernardo O’Higgins, Santiago, Chile
| | - Andrey S. Tsvetkov
- The Department of Neurology, The University of Texas McGovern Medical School at Houston, Houston, TX, United States
- The University of Texas Graduate School of Biomedical Sciences, Houston, TX, United States
- UTHealth Consortium on Aging, The University of Texas McGovern Medical School, Houston, TX, United States
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Fan J, Zhu Z, Chen Y, Yang C, Li X, Chen K, Chen X, Zhang Z. SORL1 rs1699102 Moderates the Effect of Sex on Language Network. J Alzheimers Dis 2023:JAD221133. [PMID: 37212098 DOI: 10.3233/jad-221133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
BACKGROUND Language ability differs between the sexes. However, it is unclear how this sex difference is moderated by genetic factors and how the brain interacts with genetics to support this specific language capacity. Previous studies have demonstrated that the sorting protein-related receptor (SORL1) polymorphism influences cognitive function and brain structure differently in males and females and is associated with Alzheimer's disease risk. OBJECTIVE The aim of this study was to investigate the effects of sex and the SORL1 rs1699102 (CC versus T carriers) genotype on language. METHODS 103 non-demented Chinese older adults from Beijing Aging Brain Rejuvenation Initiative (BABRI) database were included in this study. Participants completed language tests, T1-weighted structural magnetic resonance imaging (MRI) and resting-state functional MRI. Language test performance, gray matter volume, and network connections were compared between genotype and sex groups. RESULTS The rs1699102 polymorphism moderated the effects of sex on language performance, with the female having reversed language advantages in T carriers. The T allele carriers had lower gray matter volume in the left precentral gyrus. The effect of sex on language network connections was moderated by rs1699102; male CC homozygotes and female T carriers had higher internetwork connections, which were negatively correlated with language performance. CONCLUSION These results suggest that SORL1 moderates the effects of sex on language, with T being a risk allele, especially in females. Our findings underscore the importance of considering the influence of genetic factors when examining sex effects.
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Affiliation(s)
- Jialing Fan
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- BABRI Centre, Beijing Normal University, Beijing, China
| | - Zhibao Zhu
- Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
| | - Yaojing Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- BABRI Centre, Beijing Normal University, Beijing, China
| | - Caishui Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- BABRI Centre, Beijing Normal University, Beijing, China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- BABRI Centre, Beijing Normal University, Beijing, China
| | - Kewei Chen
- BABRI Centre, Beijing Normal University, Beijing, China
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - Xiaochun Chen
- Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- Fujian Key Laboratory of Molecular Neurology, Institute of Neuroscience, Fujian Medical University, Fuzhou, Fujian, China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- BABRI Centre, Beijing Normal University, Beijing, China
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Pan X, Coban Akdemir ZH, Gao R, Jiang X, Sheynkman GM, Wu E, Huang JH, Sahni N, Yi SS. AD-Syn-Net: systematic identification of Alzheimer's disease-associated mutation and co-mutation vulnerabilities via deep learning. Brief Bioinform 2023; 24:bbad030. [PMID: 36752347 PMCID: PMC10025433 DOI: 10.1093/bib/bbad030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 12/19/2022] [Accepted: 01/13/2023] [Indexed: 02/09/2023] Open
Abstract
Alzheimer's disease (AD) is one of the most challenging neurodegenerative diseases because of its complicated and progressive mechanisms, and multiple risk factors. Increasing research evidence demonstrates that genetics may be a key factor responsible for the occurrence of the disease. Although previous reports identified quite a few AD-associated genes, they were mostly limited owing to patient sample size and selection bias. There is a lack of comprehensive research aimed to identify AD-associated risk mutations systematically. To address this challenge, we hereby construct a large-scale AD mutation and co-mutation framework ('AD-Syn-Net'), and propose deep learning models named Deep-SMCI and Deep-CMCI configured with fully connected layers that are capable of predicting cognitive impairment of subjects effectively based on genetic mutation and co-mutation profiles. Next, we apply the customized frameworks to data sets to evaluate the importance scores of the mutations and identified mutation effectors and co-mutation combination vulnerabilities contributing to cognitive impairment. Furthermore, we evaluate the influence of mutation pairs on the network architecture to dissect the genetic organization of AD and identify novel co-mutations that could be responsible for dementia, laying a solid foundation for proposing future targeted therapy for AD precision medicine. Our deep learning model codes are available open access here: https://github.com/Pan-Bio/AD-mutation-effectors.
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Affiliation(s)
- Xingxin Pan
- Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA
| | - Zeynep H Coban Akdemir
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Ruixuan Gao
- Departments of Chemistry and Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, USA
| | - Xiaoqian Jiang
- School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX 77030, USA
| | - Gloria M Sheynkman
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22903, USA
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
- Center for Public Health Genomics, and UVA Comprehensive Cancer Center, University of Virginia, Charlottesville, VA 22903, USA
| | - Erxi Wu
- Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA
- Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, TX 76502, USA
- Department of Surgery, Texas A & M University Health Science Center, College of Medicine, Temple, TX 76508, USA
- Department of Pharmaceutical Sciences, Texas A & M University Health Science Center, College of Pharmacy, College Station, TX 77843, USA
| | - Jason H Huang
- Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, TX 76502, USA
- Department of Surgery, Texas A & M University Health Science Center, College of Medicine, Temple, TX 76508, USA
| | - Nidhi Sahni
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - S Stephen Yi
- Livestrong Cancer Institutes, and Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA
- Oden Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, TX 78712, USA
- Interdisciplinary Life Sciences Graduate Programs (ILSGP), College of Natural Sciences, The University of Texas at Austin, Austin, TX 78712, USA
- Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA
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50
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Sherva R, Zhang R, Sahelijo N, Jun G, Anglin T, Chanfreau C, Cho K, Fonda JR, Gaziano JM, Harrington KM, Ho YL, Kremen WS, Litkowski E, Lynch J, Neale Z, Roussos P, Marra D, Mez J, Miller MW, Salat DH, Tsuang D, Wolf E, Zeng Q, Panizzon MS, Merritt VC, Farrer LA, Hauger RL, Logue MW. African ancestry GWAS of dementia in a large military cohort identifies significant risk loci. Mol Psychiatry 2023; 28:1293-1302. [PMID: 36543923 PMCID: PMC10066923 DOI: 10.1038/s41380-022-01890-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 11/02/2022] [Accepted: 11/15/2022] [Indexed: 12/24/2022]
Abstract
While genome wide association studies (GWASs) of Alzheimer's Disease (AD) in European (EUR) ancestry cohorts have identified approximately 83 potentially independent AD risk loci, progress in non-European populations has lagged. In this study, data from the Million Veteran Program (MVP), a biobank which includes genetic data from more than 650,000 US Veteran participants, was used to examine dementia genetics in an African descent (AFR) cohort. A GWAS of Alzheimer's disease and related dementias (ADRD), an expanded AD phenotype including dementias such as vascular and non-specific dementia that included 4012 cases and 18,435 controls age 60+ in AFR MVP participants was performed. A proxy dementia GWAS based on survey-reported parental AD or dementia (n = 4385 maternal cases, 2256 paternal cases, and 45,970 controls) was also performed. These two GWASs were meta-analyzed, and then subsequently compared and meta-analyzed with the results from a previous AFR AD GWAS from the Alzheimer's Disease Genetics Consortium (ADGC). A meta-analysis of common variants across the MVP ADRD and proxy GWASs yielded GWAS significant associations in the region of APOE (p = 2.48 × 10-101), in ROBO1 (rs11919682, p = 1.63 × 10-8), and RNA RP11-340A13.2 (rs148433063, p = 8.56 × 10-9). The MVP/ADGC meta-analysis yielded additional significant SNPs near known AD risk genes TREM2 (rs73427293, p = 2.95 × 10-9), CD2AP (rs7738720, p = 1.14 × 10-9), and ABCA7 (rs73505251, p = 3.26 × 10-10), although the peak variants observed in these genes differed from those previously reported in EUR and AFR cohorts. Of the genes in or near suggestive or genome-wide significant associated variants, nine (CDA, SH2D5, DCBLD1, EML6, GOPC, ABCA7, ROS1, TMCO4, and TREM2) were differentially expressed in the brains of AD cases and controls. This represents the largest AFR GWAS of AD and dementia, finding non-APOE GWAS-significant common SNPs associated with dementia. Increasing representation of AFR participants is an important priority in genetic studies and may lead to increased insight into AD pathophysiology and reduce health disparities.
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Affiliation(s)
- Richard Sherva
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
| | - Rui Zhang
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
| | - Nathan Sahelijo
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
| | - Gyungah Jun
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
| | - Tori Anglin
- VA Informatics and Computing Infrastructure (VINCI), Salt Lake City, UT, USA
| | - Catherine Chanfreau
- VA Informatics and Computing Infrastructure (VINCI), Salt Lake City, UT, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Aging, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jennifer R Fonda
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
- Translational Research Center for TBI and Stress Disorders (TRACTS) and Geriatric Research, Educational and Clinical Center (GRECC), VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Division of Aging, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kelly M Harrington
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Yuk-Lam Ho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
| | - William S Kremen
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Elizabeth Litkowski
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- VA Eastern Colorado Healthcare System, Aurora, CO, USA
| | - Julie Lynch
- VA Informatics and Computing Infrastructure (VINCI), Salt Lake City, UT, USA
| | - Zoe Neale
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Panos Roussos
- Center for Disease Neurogenomics, Departments of Psychiatry and Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Dementia Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
- Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center, Bronx, New York, NY, USA
| | - David Marra
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Jesse Mez
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Mark W Miller
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - David H Salat
- Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA
| | - Debby Tsuang
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Erika Wolf
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Qing Zeng
- VA Washington DC Healthcare System, Washington, DC, USA
| | - Matthew S Panizzon
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| | - Victoria C Merritt
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
- VA San Diego Healthcare System, 3350 La Jolla Village Dr, San Diego, CA, USA
| | - Lindsay A Farrer
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Richard L Hauger
- Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
- VA San Diego Healthcare System, 3350 La Jolla Village Dr, San Diego, CA, USA
| | - Mark W Logue
- National Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA.
- Boston University Chobanian & Avedisian School of Medicine, Biomedical Genetics, Boston, MA, USA.
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA.
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
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