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Qian Z, Li Y, Ye K. Advancements and challenges in mouse models of Alzheimer's disease. Trends Mol Med 2024; 30:1152-1164. [PMID: 39547883 DOI: 10.1016/j.molmed.2024.10.010] [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: 07/08/2024] [Revised: 09/27/2024] [Accepted: 10/18/2024] [Indexed: 11/17/2024]
Abstract
Alzheimer's disease (AD) poses a significant health challenge worldwide, and the development of effective treatments necessitates a comprehensive understanding of its pathophysiology. Mouse models have been instrumental in offering insights into the crucial pathogenesis of AD. However, current models rarely recapitulate all aspects of AD pathology in patients; thus, translating the findings from mouse to human clinical trials has proved to be complex. In this review, we outline the development of some prevalently used AD mice, with a particular emphasis on the latest advances in newly generated models. In addition, we discuss the advantages and limitations in mouse models of AD and their applications in blood-based biomarkers. Finally, we speculate on potential future research directions.
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Affiliation(s)
- Zhengjiang Qian
- Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, China
| | - Yanjiao Li
- Faculty of Life and Health Sciences, Shenzhen University of Advanced Technology (SUAT), Shenzhen, 518055, Guangdong, China
| | - Keqiang Ye
- Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, China; Faculty of Life and Health Sciences, Shenzhen University of Advanced Technology (SUAT), Shenzhen, 518055, Guangdong, China.
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2
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Latimer CS, Quadri Z, Cook DG. Editorial: Meeting new challenges in translationally relevant neurodegenerative disease research. Front Neurosci 2024; 18:1453770. [PMID: 39238927 PMCID: PMC11374760 DOI: 10.3389/fnins.2024.1453770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 07/25/2024] [Indexed: 09/07/2024] Open
Affiliation(s)
- Caitlin Shannon Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, United States
| | - Zainuddin Quadri
- Department of Physiology, University of Kentucky, Lexington, KY, United States
| | - David G Cook
- Geriatric Research Education and Clinical Center (GRECC), VA Puget Sound Health Care System, Seattle, WA, United States
- Department of Medicine, Division of Gerontology and Geriatric Medicine, University of Washington, Seattle, WA, United States
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States
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Heuer SE, Bloss EB, Howell GR. Strategies to dissect microglia-synaptic interactions during aging and in Alzheimer's disease. Neuropharmacology 2024; 254:109987. [PMID: 38705570 DOI: 10.1016/j.neuropharm.2024.109987] [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: 01/10/2024] [Revised: 04/29/2024] [Accepted: 05/02/2024] [Indexed: 05/07/2024]
Abstract
Age is the largest risk factor for developing Alzheimer's disease (AD), a neurodegenerative disorder that causes a progressive and severe dementia. The underlying cause of cognitive deficits seen in AD is thought to be the disconnection of neural circuits that control memory and executive functions. Insight into the mechanisms by which AD diverges from normal aging will require identifying precisely which cellular events are driven by aging and which are impacted by AD-related pathologies. Since microglia, the brain-resident macrophages, are known to have critical roles in the formation and maintenance of neural circuits through synaptic pruning, they are well-positioned to modulate synaptic connectivity in circuits sensitive to aging or AD. In this review, we provide an overview of the current state of the field and on emerging technologies being employed to elucidate microglia-synaptic interactions in aging and AD. We also discuss the importance of leveraging genetic diversity to study how these interactions are shaped across more realistic contexts. We propose that these approaches will be essential to define specific aging- and disease-relevant trajectories for more personalized therapeutics aimed at reducing the effects of age or AD pathologies on the brain. This article is part of the Special Issue on "Microglia".
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Affiliation(s)
- Sarah E Heuer
- The Jackson Laboratory, Bar Harbor, ME, 04609, USA; Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, 02111, USA
| | - Erik B Bloss
- The Jackson Laboratory, Bar Harbor, ME, 04609, USA; Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, 02111, USA; Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME, 04469, USA.
| | - Gareth R Howell
- The Jackson Laboratory, Bar Harbor, ME, 04609, USA; Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, 02111, USA; Graduate School of Biomedical Sciences and Engineering, University of Maine, Orono, ME, 04469, USA.
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Sasner M, Preuss C, Pandey RS, Uyar A, Garceau D, Kotredes KP, Williams H, Oblak AL, Lin PB, Perkins B, Soni D, Ingraham C, Lee‐Gosselin A, Lamb BT, Howell GR, Carter GW. In vivo validation of late-onset Alzheimer's disease genetic risk factors. Alzheimers Dement 2024; 20:4970-4984. [PMID: 38687251 PMCID: PMC11247676 DOI: 10.1002/alz.13840] [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: 12/12/2023] [Revised: 03/14/2024] [Accepted: 03/14/2024] [Indexed: 05/02/2024]
Abstract
INTRODUCTION Genome-wide association studies have identified over 70 genetic loci associated with late-onset Alzheimer's disease (LOAD), but few candidate polymorphisms have been functionally assessed for disease relevance and mechanism of action. METHODS Candidate genetic risk variants were informatically prioritized and individually engineered into a LOAD-sensitized mouse model that carries the AD risk variants APOE ε4/ε4 and Trem2*R47H. The potential disease relevance of each model was assessed by comparing brain transcriptomes measured with the Nanostring Mouse AD Panel at 4 and 12 months of age with human study cohorts. RESULTS We created new models for 11 coding and loss-of-function risk variants. Transcriptomic effects from multiple genetic variants recapitulated a variety of human gene expression patterns observed in LOAD study cohorts. Specific models matched to emerging molecular LOAD subtypes. DISCUSSION These results provide an initial functionalization of 11 candidate risk variants and identify potential preclinical models for testing targeted therapeutics. HIGHLIGHTS A novel approach to validate genetic risk factors for late-onset AD (LOAD) is presented. LOAD risk variants were knocked in to conserved mouse loci. Variant effects were assayed by transcriptional analysis. Risk variants in Abca7, Mthfr, Plcg2, and Sorl1 loci modeled molecular signatures of clinical disease. This approach should generate more translationally relevant animal models.
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Affiliation(s)
| | | | - Ravi S. Pandey
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | - Asli Uyar
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | | | | | | | - Adrian L. Oblak
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Peter Bor‐Chian Lin
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Bridget Perkins
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Disha Soni
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Cindy Ingraham
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Audrey Lee‐Gosselin
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | - Bruce T. Lamb
- Stark Neurosciences Research Institute, School of Medicine, Indiana UniversityIndianapolisIndianaUSA
| | | | - Gregory W. Carter
- The Jackson LaboratoryBar HarborMaineUSA
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
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Onos KD, Lin PB, Pandey RS, Persohn SA, Burton CP, Miner EW, Eldridge K, Kanyinda JN, Foley KE, Carter GW, Howell GR, Territo PR. Assessment of neurovascular uncoupling: APOE status is a key driver of early metabolic and vascular dysfunction. Alzheimers Dement 2024; 20:4951-4969. [PMID: 38713704 PMCID: PMC11247674 DOI: 10.1002/alz.13842] [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: 12/08/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 05/09/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common cause of dementia worldwide, with apolipoprotein Eε4 (APOEε4) being the strongest genetic risk factor. Current clinical diagnostic imaging focuses on amyloid and tau; however, new methods are needed for earlier detection. METHODS PET imaging was used to assess metabolism-perfusion in both sexes of aging C57BL/6J, and hAPOE mice, and were verified by transcriptomics, and immunopathology. RESULTS All hAPOE strains showed AD phenotype progression by 8 months, with females exhibiting the regional changes, which correlated with GO-term enrichments for glucose metabolism, perfusion, and immunity. Uncoupling analysis revealed APOEε4/ε4 exhibited significant Type-1 uncoupling (↓ glucose uptake, ↑ perfusion) at 8 and 12 months, while APOEε3/ε4 demonstrated Type-2 uncoupling (↑ glucose uptake, ↓ perfusion), while immunopathology confirmed cell specific contributions. DISCUSSION This work highlights APOEε4 status in AD progression manifests as neurovascular uncoupling driven by immunological activation, and may serve as an early diagnostic biomarker. HIGHLIGHTS We developed a novel analytical method to analyze PET imaging of 18F-FDG and 64Cu-PTSM data in both sexes of aging C57BL/6J, and hAPOEε3/ε3, hAPOEε4/ε4, and hAPOEε3/ε4 mice to assess metabolism-perfusion profiles termed neurovascular uncoupling. This analysis revealed APOEε4/ε4 exhibited significant Type-1 uncoupling (decreased glucose uptake, increased perfusion) at 8 and 12 months, while APOEε3/ε4 demonstrated significant Type-2 uncoupling (increased glucose uptake, decreased perfusion) by 8 months which aligns with immunopathology and transcriptomic signatures. This work highlights that there may be different mechanisms underlying age related changes in APOEε4/ε4 compared with APOEε3/ε4. We predict that these changes may be driven by immunological activation and response, and may serve as an early diagnostic biomarker.
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Affiliation(s)
| | - Peter B. Lin
- Stark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Ravi S. Pandey
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | - Scott A. Persohn
- Stark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
| | - Charles P. Burton
- Stark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
| | - Ethan W. Miner
- Stark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
| | - Kierra Eldridge
- Stark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - Kate E. Foley
- The Jackson LaboratoryBar HarborMaineUSA
- Stark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
| | - Gregory W. Carter
- The Jackson LaboratoryBar HarborMaineUSA
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | | | - Paul R. Territo
- Stark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisIndianaUSA
- Department of MedicineDivision of Clinical PharmacologyIndiana University School of MedicineIndianapolisIndianaUSA
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Pandey RS, Arnold M, Batra R, Krumsiek J, Kotredes KP, Garceau D, Williams H, Sasner M, Howell GR, Kaddurah‐Daouk R, Carter GW. Metabolomics profiling reveals distinct, sex-specific signatures in serum and brain metabolomes in mouse models of Alzheimer's disease. Alzheimers Dement 2024; 20:3987-4001. [PMID: 38676929 PMCID: PMC11180854 DOI: 10.1002/alz.13851] [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: 12/12/2023] [Revised: 03/19/2024] [Accepted: 03/19/2024] [Indexed: 04/29/2024]
Abstract
INTRODUCTION Increasing evidence suggests that metabolic impairments contribute to early Alzheimer's disease (AD) mechanisms and subsequent dementia. Signals in metabolic pathways conserved across species can facilitate translation. METHODS We investigated differences in serum and brain metabolites between the early-onset 5XFAD and late-onset LOAD1 (APOE4.Trem2*R47H) mouse models of AD to C57BL/6J controls at 6 months of age. RESULTS We identified sex differences for several classes of metabolites, such as glycerophospholipids, sphingolipids, and amino acids. Metabolic signatures were notably different between brain and serum in both mouse models. The 5XFAD mice exhibited stronger differences in brain metabolites, whereas LOAD1 mice showed more pronounced differences in serum. DISCUSSION Several of our findings were consistent with results in humans, showing glycerophospholipids reduction in serum of apolipoprotein E (apoE) ε4 carriers and replicating the serum metabolic imprint of the APOE ε4 genotype. Our work thus represents a significant step toward translating metabolic dysregulation from model organisms to human AD. HIGHLIGHTS This was a metabolomic assessment of two mouse models relevant to Alzheimer's disease. Mouse models exhibit broad sex-specific metabolic differences, similar to human study cohorts. The early-onset 5XFAD mouse model primarily alters brain metabolites while the late-onset LOAD1 model primarily changes serum metabolites. Apolipoprotein E (apoE) ε4 mice recapitulate glycerophospolipid signatures of human APOE ε4 carriers in both brain and serum.
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Affiliation(s)
- Ravi S. Pandey
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | - Mattias Arnold
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA
- Institute of Computational BiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental Health, Ingolstädter Landstraße 1OberschleißheimGermany
| | - Richa Batra
- Department of Physiology and BiophysicsInstitute for Computational BiomedicineEnglander Institute for Precision MedicineWeill Cornell MedicineNew YorkNew YorkUSA
| | - Jan Krumsiek
- Department of Physiology and BiophysicsInstitute for Computational BiomedicineEnglander Institute for Precision MedicineWeill Cornell MedicineNew YorkNew YorkUSA
| | | | | | | | | | | | - Rima Kaddurah‐Daouk
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA
- Duke Institute of Brain SciencesDuke UniversityDurhamNorth CarolinaUSA
- Department of MedicineDuke UniversityDurhamNorth CarolinaUSA
| | - Gregory W. Carter
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
- The Jackson LaboratoryBar HarborMaineUSA
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Kotredes KP, Pandey RS, Persohn S, Elderidge K, Burton CP, Miner EW, Haynes KA, Santos DFS, Williams S, Heaton N, Ingraham CM, Lloyd C, Garceau D, O'Rourke R, Herrick S, Rangel‐Barajas C, Maharjan S, Wang N, Sasner M, Lamb BT, Territo PR, Sukoff Rizzo SJ, Carter GW, Howell GR, Oblak AL. Characterizing molecular and synaptic signatures in mouse models of late-onset Alzheimer's disease independent of amyloid and tau pathology. Alzheimers Dement 2024; 20:4126-4146. [PMID: 38735056 PMCID: PMC11180851 DOI: 10.1002/alz.13828] [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: 12/13/2023] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 05/14/2024]
Abstract
INTRODUCTION MODEL-AD (Model Organism Development and Evaluation for Late-Onset Alzheimer's Disease) is creating and distributing novel mouse models with humanized, clinically relevant genetic risk factors to capture the trajectory and progression of late-onset Alzheimer's disease (LOAD) more accurately. METHODS We created the LOAD2 model by combining apolipoprotein E4 (APOE4), Trem2*R47H, and humanized amyloid-beta (Aβ). Mice were subjected to a control diet or a high-fat/high-sugar diet (LOAD2+HFD). We assessed disease-relevant outcome measures in plasma and brain including neuroinflammation, Aβ, neurodegeneration, neuroimaging, and multi-omics. RESULTS By 18 months, LOAD2+HFD mice exhibited sex-specific neuron loss, elevated insoluble brain Aβ42, increased plasma neurofilament light chain (NfL), and altered gene/protein expression related to lipid metabolism and synaptic function. Imaging showed reductions in brain volume and neurovascular uncoupling. Deficits in acquiring touchscreen-based cognitive tasks were observed. DISCUSSION The comprehensive characterization of LOAD2+HFD mice reveals that this model is important for preclinical studies seeking to understand disease trajectory and progression of LOAD prior to or independent of amyloid plaques and tau tangles. HIGHLIGHTS By 18 months, unlike control mice (e.g., LOAD2 mice fed a control diet, CD), LOAD2+HFD mice presented subtle but significant loss of neurons in the cortex, elevated levels of insoluble Ab42 in the brain, and increased plasma neurofilament light chain (NfL). Transcriptomics and proteomics showed changes in gene/proteins relating to a variety of disease-relevant processes including lipid metabolism and synaptic function. In vivo imaging revealed an age-dependent reduction in brain region volume (MRI) and neurovascular uncoupling (PET/CT). LOAD2+HFD mice also demonstrated deficits in acquisition of touchscreen-based cognitive tasks.
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Affiliation(s)
| | - Ravi S. Pandey
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | - Scott Persohn
- Indiana University School of MedicineIndianapolisIndianaUSA
- Stark Neurosciences Research InstituteIndianapolisIndianaUSA
| | - Kierra Elderidge
- Indiana University School of MedicineIndianapolisIndianaUSA
- Stark Neurosciences Research InstituteIndianapolisIndianaUSA
| | - Charles P Burton
- Indiana University School of MedicineIndianapolisIndianaUSA
- Stark Neurosciences Research InstituteIndianapolisIndianaUSA
| | - Ethan W. Miner
- Indiana University School of MedicineIndianapolisIndianaUSA
- Stark Neurosciences Research InstituteIndianapolisIndianaUSA
| | - Kathryn A. Haynes
- Department of MedicineUniversity of Pittsburgh Aging InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Diogo Francisco S. Santos
- Department of MedicineUniversity of Pittsburgh Aging InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Sean‐Paul Williams
- Department of MedicineUniversity of Pittsburgh Aging InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Nicholas Heaton
- Department of MedicineUniversity of Pittsburgh Aging InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | | | | | | | | | | | - Claudia Rangel‐Barajas
- Indiana University School of MedicineIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Surendra Maharjan
- Indiana University School of MedicineIndianapolisIndianaUSA
- Stark Neurosciences Research InstituteIndianapolisIndianaUSA
- Department of Radiology & Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Nian Wang
- Indiana University School of MedicineIndianapolisIndianaUSA
- Stark Neurosciences Research InstituteIndianapolisIndianaUSA
- Department of Radiology & Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - Bruce T. Lamb
- Indiana University School of MedicineIndianapolisIndianaUSA
- Stark Neurosciences Research InstituteIndianapolisIndianaUSA
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Paul R. Territo
- Indiana University School of MedicineIndianapolisIndianaUSA
- Stark Neurosciences Research InstituteIndianapolisIndianaUSA
- Department of MedicineDivision of Clinical PharmacologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Stacey J. Sukoff Rizzo
- Department of MedicineUniversity of Pittsburgh Aging InstituteUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Gregory W. Carter
- The Jackson LaboratoryBar HarborMaineUSA
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
- Tufts University Graduate School of Biomedical SciencesBostonMassachusettsUSA
- Graduate School of Biomedical Sciences and EngineeringUniversity of MaineOronoMaineUSA
| | - Gareth R. Howell
- The Jackson LaboratoryBar HarborMaineUSA
- Tufts University Graduate School of Biomedical SciencesBostonMassachusettsUSA
- Graduate School of Biomedical Sciences and EngineeringUniversity of MaineOronoMaineUSA
| | - Adrian L. Oblak
- Indiana University School of MedicineIndianapolisIndianaUSA
- Stark Neurosciences Research InstituteIndianapolisIndianaUSA
- Department of Radiology & Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
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Shi Q, Gutierrez RA, Bhat MA. Microglia, Trem2, and Neurodegeneration. Neuroscientist 2024:10738584241254118. [PMID: 38769824 PMCID: PMC11576490 DOI: 10.1177/10738584241254118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Microglia are a specialized type of neuroimmune cells that undergo morphological and molecular changes through multiple signaling pathways in response to pathological protein aggregates, neuronal death, tissue injury, or infections. Microglia express Trem2, which serves as a receptor for a multitude of ligands enhancing their phagocytic activity. Trem2 has emerged as a critical modulator of microglial activity, especially in many neurodegenerative disorders. Human TREM2 mutations are associated with an increased risk of developing Alzheimer disease (AD) and other neurodegenerative diseases. Trem2 plays dual roles in neuroinflammation and more specifically in disease-associated microglia. Most recent developments on the molecular mechanisms of Trem2, emphasizing its role in uptake and clearance of amyloid β (Aβ) aggregates and other tissue debris to help protect and preserve the brain, are encouraging. Although Trem2 normally stimulates defense mechanisms, its dysregulation can intensify inflammation, which poses major therapeutic challenges. Recent therapeutic approaches targeting Trem2 via agonistic antibodies and gene therapy methodologies present possible avenues for reducing the burden of neurodegenerative diseases. This review highlights the promise of Trem2 as a therapeutic target, especially for Aβ-associated AD, and calls for more mechanistic investigations to understand the context-specific role of microglial Trem2 in developing effective therapies against neurodegenerative diseases.
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Affiliation(s)
- Qian Shi
- Department of Cellular and Integrative Physiology, Center for Biomedical Neuroscience, Joe R. and Teresa Lozano Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Raul A Gutierrez
- Department of Cellular and Integrative Physiology, Center for Biomedical Neuroscience, Joe R. and Teresa Lozano Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Manzoor A Bhat
- Department of Cellular and Integrative Physiology, Center for Biomedical Neuroscience, Joe R. and Teresa Lozano Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
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Onos K, Lin PB, Pandey RS, Persohn SA, Burton CP, Miner EW, Eldridge K, Kanyinda JN, Foley KE, Carter GW, Howell GR, Territo PR. Assessment of Neurovascular Uncoupling: APOE Status is a Key Driver of Early Metabolic and Vascular Dysfunction. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.13.571584. [PMID: 38168292 PMCID: PMC10760108 DOI: 10.1101/2023.12.13.571584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is the most common cause of dementia worldwide, with apolipoprotein ε4 (APOEε4) being the strongest genetic risk factor. Current clinical diagnostic imaging focuses on amyloid and tau; however, new methods are needed for earlier detection. METHODS PET imaging was used to assess metabolism-perfusion in both sexes of aging C57BL/6J, and hAPOE mice, and were verified by transcriptomics, and immunopathology. RESULTS All hAPOE strains showed AD phenotype progression by 8 mo, with females exhibiting the regional changes, which correlated with GO-term enrichments for glucose metabolism, perfusion, and immunity. Uncoupling analysis revealed APOEε4/ε4 exhibited significant Type-1 uncoupling (↓ glucose uptake, ↑ perfusion) at 8 and 12 mo, while APOEε3/ε4 demonstrated Type-2 uncoupling (↑ glucose uptake, ↓ perfusion), while immunopathology confirmed cell specific contributions. DISCUSSION This work highlights APOEε4 status in AD progression manifest as neurovascular uncoupling driven by immunological activation, and may serve as an early diagnostic biomarker.
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Affiliation(s)
- Kristen Onos
- The Jackson Laboratory, Bar Harbor, ME 04609 USA
| | - Peter B. Lin
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202 USA
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Ravi S. Pandey
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032 USA
| | - Scott A. Persohn
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - Charles P. Burton
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - Ethan W. Miner
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - Kierra Eldridge
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | | | - Kate E. Foley
- The Jackson Laboratory, Bar Harbor, ME 04609 USA
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202 USA
| | - Gregory W. Carter
- The Jackson Laboratory, Bar Harbor, ME 04609 USA
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032 USA
| | | | - Paul R. Territo
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN 46202 USA
- Department of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis IN 46202 USA
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10
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Zhong MZ, Peng T, Duarte ML, Wang M, Cai D. Updates on mouse models of Alzheimer's disease. Mol Neurodegener 2024; 19:23. [PMID: 38462606 PMCID: PMC10926682 DOI: 10.1186/s13024-024-00712-0] [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: 09/04/2023] [Accepted: 02/14/2024] [Indexed: 03/12/2024] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disease in the United States (US). Animal models, specifically mouse models have been developed to better elucidate disease mechanisms and test therapeutic strategies for AD. A large portion of effort in the field was focused on developing transgenic (Tg) mouse models through over-expression of genetic mutations associated with familial AD (FAD) patients. Newer generations of mouse models through knock-in (KI)/knock-out (KO) or CRISPR gene editing technologies, have been developed for both familial and sporadic AD risk genes with the hope to more accurately model proteinopathies without over-expression of human AD genes in mouse brains. In this review, we summarized the phenotypes of a few commonly used as well as newly developed mouse models in translational research laboratories including the presence or absence of key pathological features of AD such as amyloid and tau pathology, synaptic and neuronal degeneration as well as cognitive and behavior deficits. In addition, advantages and limitations of these AD mouse models have been elaborated along with discussions of any sex-specific features. More importantly, the omics data from available AD mouse models have been analyzed to categorize molecular signatures of each model reminiscent of human AD brain changes, with the hope to guide future selection of most suitable models for specific research questions to be addressed in the AD field.
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Affiliation(s)
- Michael Z Zhong
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Biology, College of Arts and Science, Boston University, Boston, MA, 02215, USA
| | - Thomas Peng
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Science Research Program, Scarsdale High School, New York, NY, 10583, USA
| | - Mariana Lemos Duarte
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Research & Development, James J Peters VA Medical Center, Bronx, NY, 10468, USA.
| | - Minghui Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
| | - Dongming Cai
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Research & Development, James J Peters VA Medical Center, Bronx, NY, 10468, USA.
- Alzheimer's Disease Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Neurology, N. Bud Grossman Center for Memory Research and Care, The University of Minnesota, Minneapolis, MN, 55455, USA.
- Geriatric Research Education & Clinical Center (GRECC), The Minneapolis VA Health Care System, Minneapolis, MN, 55417, USA.
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11
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Zgorzynska E. TREM2 in Alzheimer's disease: Structure, function, therapeutic prospects, and activation challenges. Mol Cell Neurosci 2024; 128:103917. [PMID: 38244651 DOI: 10.1016/j.mcn.2024.103917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 01/22/2024] Open
Abstract
Triggering receptor expressed on myeloid cells 2 (TREM2) is a membrane glycoprotein that plays a crucial role in the regulation of microglial survival, activation, phagocytosis, as well as in the maintenance of brain homeostasis and the inflammatory response to injury or neurodegeneration. This review provides a comprehensive overview of TREM2 structure and functions, highlighting the role of its variants in the development and progression of Alzheimer's disease (AD), a devastating neurodegenerative disease that affects millions of people worldwide. Additionally, the article discusses the potential of TREM2 as a therapeutic target in AD, analyzing the current state of research and future prospects. Given the significant challenges associated with the activation of TREM2, particularly due to its diverse isoforms and the delicate balance required to modulate the immune response without triggering hyperactivation, this review aims to enhance our understanding of TREM2 in AD and inspire further research into this promising yet challenging therapeutic target.
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Affiliation(s)
- Emilia Zgorzynska
- Department of Cell-to-Cell Communication, Medical University of Lodz, Mazowiecka 6/8, 92-215 Lodz, Poland.
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12
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Sasner M, Preuss C, Pandey RS, Uyar A, Garceau D, Kotredes KP, Williams H, Oblak AL, Lin PBC, Perkins B, Soni D, Ingraham C, Lee-Gosselin A, Lamb BT, Howell GR, Carter GW. In vivo validation of late-onset Alzheimer's disease genetic risk factors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.21.572849. [PMID: 38187758 PMCID: PMC10769393 DOI: 10.1101/2023.12.21.572849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Introduction Genome-wide association studies have identified over 70 genetic loci associated with late-onset Alzheimer's disease (LOAD), but few candidate polymorphisms have been functionally assessed for disease relevance and mechanism of action. Methods Candidate genetic risk variants were informatically prioritized and individually engineered into a LOAD-sensitized mouse model that carries the AD risk variants APOE4 and Trem2*R47H. Potential disease relevance of each model was assessed by comparing brain transcriptomes measured with the Nanostring Mouse AD Panel at 4 and 12 months of age with human study cohorts. Results We created new models for 11 coding and loss-of-function risk variants. Transcriptomic effects from multiple genetic variants recapitulated a variety of human gene expression patterns observed in LOAD study cohorts. Specific models matched to emerging molecular LOAD subtypes. Discussion These results provide an initial functionalization of 11 candidate risk variants and identify potential preclinical models for testing targeted therapeutics.
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Affiliation(s)
- Michael Sasner
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609 USA
| | | | - Ravi S Pandey
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032 USA
| | - Asli Uyar
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032 USA
| | - Dylan Garceau
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609 USA
| | | | | | - Adrian L Oblak
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Peter Bor-Chian Lin
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Bridget Perkins
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Disha Soni
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Cindy Ingraham
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Audrey Lee-Gosselin
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Bruce T Lamb
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, NB Building, 320 W 15th St #414, Indianapolis, IN 46202
| | - Gareth R Howell
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609 USA
| | - Gregory W Carter
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME, 04609 USA
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032 USA
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13
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Pandey RS, Arnold M, Batra R, Krumsiek J, Kotredes KP, Garceau D, Williams H, Sasner M, Howell GR, Kaddurah-Daouk R, Carter GW. Metabolomics profiling reveals distinct, sex-specific signatures in the serum and brain metabolomes in the mouse models of Alzheimer's disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.22.573059. [PMID: 38187571 PMCID: PMC10769366 DOI: 10.1101/2023.12.22.573059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
INTRODUCTION Increasing evidence suggests that metabolic impairments contribute to early Alzheimer's disease (AD) mechanisms and subsequent dementia. Signals in metabolic pathways conserved across species provides a promising entry point for translation. METHODS: We investigated differences of serum and brain metabolites between the early-onset 5XFAD and late-onset LOAD1 (APOE4.Trem2*R47H) mouse models of AD to C57BL/6J controls at six months of age. RESULTS We identified sex differences for several classes of metabolites, such as glycerophospholipids, sphingolipids, and amino acids. Metabolic signatures were notably different between brain and serum in both mouse models. The 5XFAD mice exhibited stronger differences in brain metabolites, whereas LOAD1 mice showed more pronounced differences in serum. DISCUSSION Several of our findings were consistent with results in humans, showing glycerophospholipids reduction in serum of APOE4 carriers and replicating the serum metabolic imprint of the APOE4 genotype. Our work thus represents a significant step towards translating metabolic dysregulation from model organisms to human AD.
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Affiliation(s)
- Ravi S Pandey
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032 USA
| | - Mattias Arnold
- Department of Psychiatry and Behavioral Sciences, Duke University, 905 W Main St, Durham, NC 27701, USA
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Oberschleißheim, Germany
| | - Richa Batra
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, 1305 York Ave, New York, NY 10022, USA
| | - Jan Krumsiek
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, 1305 York Ave, New York, NY 10022, USA
| | | | - Dylan Garceau
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME 04609, USA
| | | | - Michael Sasner
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME 04609, USA
| | - Gareth R Howell
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME 04609, USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, 905 W Main St, Durham, NC 27701, USA
- Duke Institute of Brain Sciences, Duke University, 308 Research Dr, Durham, NC 27710, USA
- Department of Medicine, Duke University, DUMC Box 104002, Durham, North Carolina 27710, USA
| | - Gregory W Carter
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032 USA
- The Jackson Laboratory, 600 Main St, Bar Harbor, ME 04609, USA
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14
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Kotredes KP, Pandey RS, Persohn S, Elderidge K, Burton CP, Miner EW, Haynes KA, Santos DFS, Williams SP, Heaton N, Ingraham CM, Lloyd C, Garceau D, O’Rourke R, Herrick S, Rangel-Barajas C, Maharjan S, Wang N, Sasner M, Lamb BT, Territo PR, Sukoff Rizzo SJ, Carter GW, Howell GR, Oblak AL. Characterizing Molecular and Synaptic Signatures in mouse models of Late-Onset Alzheimer's Disease Independent of Amyloid and Tau Pathology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.19.571985. [PMID: 38187716 PMCID: PMC10769232 DOI: 10.1101/2023.12.19.571985] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
INTRODUCTION MODEL-AD is creating and distributing novel mouse models with humanized, clinically relevant genetic risk factors to more accurately mimic LOAD than commonly used transgenic models. METHODS We created the LOAD2 model by combining APOE4, Trem2*R47H, and humanized amyloid-beta. Mice aged up to 24 months were subjected to either a control diet or a high-fat/high-sugar diet (LOAD2+HFD) from two months of age. We assessed disease-relevant outcomes, including in vivo imaging, biomarkers, multi-omics, neuropathology, and behavior. RESULTS By 18 months, LOAD2+HFD mice exhibited cortical neuron loss, elevated insoluble brain Aβ42, increased plasma NfL, and altered gene/protein expression related to lipid metabolism and synaptic function. In vivo imaging showed age-dependent reductions in brain region volume and neurovascular uncoupling. LOAD2+HFD mice also displayed deficits in acquiring touchscreen-based cognitive tasks. DISCUSSION Collectively the comprehensive characterization of LOAD2+HFD mice reveal this model as important for preclinical studies that target features of LOAD independent of amyloid and tau.
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Affiliation(s)
- Kevin P. Kotredes
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, United States, 04609
| | - Ravi S. Pandey
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, United States 06032
| | - Scott Persohn
- Indiana University School of Medicine, 340 W 10 Street, Indianapolis, IN, United States 46202
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
| | - Kierra Elderidge
- Indiana University School of Medicine, 340 W 10 Street, Indianapolis, IN, United States 46202
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
| | - Charles P Burton
- Indiana University School of Medicine, 340 W 10 Street, Indianapolis, IN, United States 46202
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
| | - Ethan W. Miner
- Indiana University School of Medicine, 340 W 10 Street, Indianapolis, IN, United States 46202
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
| | - Kathryn A. Haynes
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, 100 Technology Drive, Pittsburgh, PA Pittsburgh, PA, United States 15219
| | - Diogo Francisco S. Santos
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, 100 Technology Drive, Pittsburgh, PA Pittsburgh, PA, United States 15219
| | - Sean-Paul Williams
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, 100 Technology Drive, Pittsburgh, PA Pittsburgh, PA, United States 15219
| | - Nicholas Heaton
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, 100 Technology Drive, Pittsburgh, PA Pittsburgh, PA, United States 15219
| | - Cynthia M. Ingraham
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
| | - Christopher Lloyd
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
| | - Dylan Garceau
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, United States, 04609
| | - Rita O’Rourke
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, United States, 04609
| | - Sarah Herrick
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, United States, 04609
| | - Claudia Rangel-Barajas
- Indiana University School of Medicine, 340 W 10 Street, Indianapolis, IN, United States 46202
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, 410 W. 10 St., HITS 4000, Indianapolis, IN, United States 46202
| | - Surendra Maharjan
- Indiana University School of Medicine, 340 W 10 Street, Indianapolis, IN, United States 46202
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
- Department of Radiology & Imaging Sciences, Indiana University School of Medicine, 550 University Blvd, Indianapolis, IN, United States 46202
| | - Nian Wang
- Indiana University School of Medicine, 340 W 10 Street, Indianapolis, IN, United States 46202
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
- Department of Radiology & Imaging Sciences, Indiana University School of Medicine, 550 University Blvd, Indianapolis, IN, United States 46202
| | - Michael Sasner
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, United States, 04609
| | - Bruce T. Lamb
- Indiana University School of Medicine, 340 W 10 Street, Indianapolis, IN, United States 46202
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, 410 W. 10 St., HITS 4000, Indianapolis, IN, United States 46202
| | - Paul R. Territo
- Indiana University School of Medicine, 340 W 10 Street, Indianapolis, IN, United States 46202
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
- Department of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, 545 Barnhill Drive, Indianapolis, IN, United States 46202
| | - Stacey J. Sukoff Rizzo
- Department of Medicine, University of Pittsburgh Aging Institute, University of Pittsburgh School of Medicine, 100 Technology Drive, Pittsburgh, PA Pittsburgh, PA, United States 15219
| | - Gregory W. Carter
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, United States, 04609
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, United States 06032
- Tufts University Graduate School of Biomedical Sciences, 136 Harrison Ave #813, Boston, MA, United States 02111
- Graduate School of Biomedical Sciences and Engineering, University of Maine, 5775 Stodder Hall, Orono, Maine, United States 04469
| | - Gareth R. Howell
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, United States, 04609
- Tufts University Graduate School of Biomedical Sciences, 136 Harrison Ave #813, Boston, MA, United States 02111
- Graduate School of Biomedical Sciences and Engineering, University of Maine, 5775 Stodder Hall, Orono, Maine, United States 04469
| | - Adrian L. Oblak
- Indiana University School of Medicine, 340 W 10 Street, Indianapolis, IN, United States 46202
- Stark Neurosciences Research Institute, 320 W 15 Street, Indianapolis, IN, United States 46202
- Department of Radiology & Imaging Sciences, Indiana University School of Medicine, 550 University Blvd, Indianapolis, IN, United States 46202
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15
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Lee CH, Murrell CE, Chu A, Pan X. Circadian Regulation of Apolipoproteins in the Brain: Implications in Lipid Metabolism and Disease. Int J Mol Sci 2023; 24:17415. [PMID: 38139244 PMCID: PMC10743770 DOI: 10.3390/ijms242417415] [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: 11/02/2023] [Revised: 12/08/2023] [Accepted: 12/10/2023] [Indexed: 12/24/2023] Open
Abstract
The circadian rhythm is a 24 h internal clock within the body that regulates various factors, including sleep, body temperature, and hormone secretion. Circadian rhythm disruption is an important risk factor for many diseases including neurodegenerative illnesses. The central and peripheral oscillators' circadian clock network controls the circadian rhythm in mammals. The clock genes govern the central clock in the suprachiasmatic nucleus (SCN) of the brain. One function of the circadian clock is regulating lipid metabolism. However, investigations of the circadian regulation of lipid metabolism-associated apolipoprotein genes in the brain are lacking. This review summarizes the rhythmic expression of clock genes and lipid metabolism-associated apolipoprotein genes within the SCN in Mus musculus. Nine of the twenty apolipoprotein genes identified from searching the published database (SCNseq and CircaDB) are highly expressed in the SCN. Most apolipoprotein genes (ApoE, ApoC1, apoA1, ApoH, ApoM, and Cln) show rhythmic expression in the brain in mice and thus might be regulated by the master clock. Therefore, this review summarizes studies on lipid-associated apolipoprotein genes in the SCN and other brain locations, to understand how apolipoproteins associated with perturbed cerebral lipid metabolism cause multiple brain diseases and disorders. This review describes recent advancements in research, explores current questions, and identifies directions for future research.
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Affiliation(s)
- Chaeeun Hannah Lee
- Department of Foundations of Medicine, New York University Grossman Long Island School of Medicine, Mineola, NY 11501, USA
| | - Charlotte Ellzabeth Murrell
- Department of Foundations of Medicine, New York University Grossman Long Island School of Medicine, Mineola, NY 11501, USA
| | - Alexander Chu
- Department of Foundations of Medicine, New York University Grossman Long Island School of Medicine, Mineola, NY 11501, USA
| | - Xiaoyue Pan
- Department of Foundations of Medicine, New York University Grossman Long Island School of Medicine, Mineola, NY 11501, USA
- Diabetes and Obesity Research Center, NYU Langone Hospital-Long Island, Mineola, NY 11501, USA
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16
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Sziraki A, Lu Z, Lee J, Banyai G, Anderson S, Abdulraouf A, Metzner E, Liao A, Banfelder J, Epstein A, Schaefer C, Xu Z, Zhang Z, Gan L, Nelson PT, Zhou W, Cao J. A global view of aging and Alzheimer's pathogenesis-associated cell population dynamics and molecular signatures in human and mouse brains. Nat Genet 2023; 55:2104-2116. [PMID: 38036784 PMCID: PMC10703679 DOI: 10.1038/s41588-023-01572-y] [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: 12/16/2022] [Accepted: 10/17/2023] [Indexed: 12/02/2023]
Abstract
Conventional methods fall short in unraveling the dynamics of rare cell types related to aging and diseases. Here we introduce EasySci, an advanced single-cell combinatorial indexing strategy for exploring age-dependent cellular dynamics in the mammalian brain. Profiling approximately 1.5 million single-cell transcriptomes and 400,000 chromatin accessibility profiles across diverse mouse brains, we identified over 300 cell subtypes, uncovering their molecular characteristics and spatial locations. This comprehensive view elucidates rare cell types expanded or depleted upon aging. We also investigated cell-type-specific responses to genetic alterations linked to Alzheimer's disease, identifying associated rare cell types. Additionally, by profiling 118,240 human brain single-cell transcriptomes, we discerned cell- and region-specific transcriptomic changes tied to Alzheimer's pathogenesis. In conclusion, this research offers a valuable resource for probing cell-type-specific dynamics in both normal and pathological aging.
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Affiliation(s)
- Andras Sziraki
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
- The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA
| | - Ziyu Lu
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
- The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA
| | - Jasper Lee
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
| | - Gabor Banyai
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
| | - Sonya Anderson
- Department of Pathology and Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Abdulraouf Abdulraouf
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
- The Tri-Institutional MD-PhD Program, New York, NY, USA
| | - Eli Metzner
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
- The Tri-Institutional PhD Program in Computational Biology and Medicine, New York, NY, USA
| | - Andrew Liao
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
- The Tri-Institutional MD-PhD Program, New York, NY, USA
| | - Jason Banfelder
- High Performance Computing Resource Center, The Rockefeller University, New York, NY, USA
| | - Alexander Epstein
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
- The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA
| | - Chloe Schaefer
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
| | - Zihan Xu
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
- The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA
| | - Zehao Zhang
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
- The David Rockefeller Graduate Program in Bioscience, The Rockefeller University, New York, NY, USA
| | - Li Gan
- Helen and Robert Appel Alzheimer's Disease Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Peter T Nelson
- Department of Pathology and Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Wei Zhou
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
| | - Junyue Cao
- Laboratory of Single Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
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17
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Jullienne A, Szu JI, Quan R, Trinh MV, Norouzi T, Noarbe BP, Bedwell AA, Eldridge K, Persohn SC, Territo PR, Obenaus A. Cortical cerebrovascular and metabolic perturbations in the 5xFAD mouse model of Alzheimer's disease. Front Aging Neurosci 2023; 15:1220036. [PMID: 37533765 PMCID: PMC10392850 DOI: 10.3389/fnagi.2023.1220036] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 07/03/2023] [Indexed: 08/04/2023] Open
Abstract
Introduction The 5xFAD mouse is a popular model of familial Alzheimer's disease (AD) that is characterized by early beta-amyloid (Aβ) deposition and cognitive decrements. Despite numerous studies, the 5xFAD mouse has not been comprehensively phenotyped for vascular and metabolic perturbations over its lifespan. Methods Male and female 5xFAD and wild type (WT) littermates underwent in vivo 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) imaging at 4, 6, and 12 months of age to assess regional glucose metabolism. A separate cohort of mice (4, 8, 12 months) underwent "vessel painting" which labels all cerebral vessels and were analyzed for vascular characteristics such as vessel density, junction density, vessel length, network complexity, number of collaterals, and vessel diameter. Results With increasing age, vessels on the cortical surface in both 5xFAD and WT mice showed increased vessel length, vessel and junction densities. The number of collateral vessels between the middle cerebral artery (MCA) and the anterior and posterior cerebral arteries decreased with age but collateral diameters were significantly increased only in 5xFAD mice. MCA total vessel length and junction density were decreased in 5xFAD mice compared to WT at 4 months. Analysis of 18F-FDG cortical uptake revealed significant differences between WT and 5xFAD mice spanning 4-12 months. Broadly, 5xFAD males had significantly increased 18F-FDG uptake at 12 months compared to WT mice. In most cortical regions, female 5xFAD mice had reduced 18F-FDG uptake compared to WT across their lifespan. Discussion While the 5xFAD mouse exhibits AD-like cognitive deficits as early as 4 months of age that are associated with increasing Aβ deposition, we only found significant differences in cortical vascular features in males, not in females. Interestingly, 5xFAD male and female mice exhibited opposite effects in 18F-FDG uptake. The MCA supplies blood to large portions of the somatosensory cortex and portions of motor and visual cortex and increased vessel length alongside decreased collaterals which coincided with higher metabolic rates in 5xFAD mice. Thus, a potential mismatch between metabolic demand and vascular delivery of nutrients in the face of increasing Aβ deposition could contribute to the progressive cognitive deficits seen in the 5xFAD mouse model.
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Affiliation(s)
- Amandine Jullienne
- Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Jenny I. Szu
- Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Ryan Quan
- Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Michelle V. Trinh
- Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Tannoz Norouzi
- Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Brenda P. Noarbe
- Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Amanda A. Bedwell
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Kierra Eldridge
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Scott C. Persohn
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Paul R. Territo
- Stark Neurosciences Research Institute, School of Medicine, Indiana University, Indianapolis, IN, United States
- Department of Medicine, School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Andre Obenaus
- Department of Pediatrics, School of Medicine, University of California, Irvine, Irvine, CA, United States
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18
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Smith S, Hopp SC. The 5XFAD mouse model of Alzheimer's disease displays age-dependent deficits in habituation to a novel environment. AGING BRAIN 2023; 3:100078. [PMID: 37333676 PMCID: PMC10275951 DOI: 10.1016/j.nbas.2023.100078] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 04/26/2023] [Accepted: 05/23/2023] [Indexed: 06/20/2023] Open
Abstract
Habituation is a form of learning characterized by a decrement in responsiveness to a stimulus that is repeated or prolonged. In rodents, habituation to a novel environment is characterized by a decrease in locomotion over time spent in a novel environment. Habituation to a novel environment is dependent on hippocampal function, suggesting that habituation behavior may be a relevant readout for hippocampal-dependent memory deficits that are characteristic of Alzheimer's disease (AD). Current assays that measure hippocampal-dependent memory in preclinical animal models of AD have not accurately predicted the cognitive protection of novel interventions in human trials. Here, we tested whether a behavioral habituation paradigm could detect age-associated changes in a common preclinical mouse model of AD-like amyloid pathology, the 5XFAD mouse. We exposed 5XFAD mice and age-matched wild-type (WT) littermates at 3, 6, and 9 months of age to a novel environment over two sessions separated by 24 h and measured their locomotion. WT mice habituated to the novel environment over time, while 5XFAD mice displayed age-dependent deficits in behavioral habituation. We replicated our results using publicly available open field data from 5XFAD and late-onset AD mouse models with TREM2*R47H and APOE4 mutations. Overall, we present behavioral habituation as a potentially sensitive task to assess age-associated behavioral deficits in 5XFAD mice and other mouse models of AD that could be used to test the preclinical efficacy of novel AD therapeutics.
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Affiliation(s)
- Sabrina Smith
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, USA
| | - Sarah C. Hopp
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, USA
- Department of Pharmacology, University of Texas Health Science Center San Antonio, 7703 Floyd Curl Drive, San Antonio, TX, USA
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Lefterov I, Fitz NF, Lu Y, Koldamova R. APOEε4 and risk of Alzheimer's disease - time to move forward. Front Neurosci 2023; 17:1195724. [PMID: 37274212 PMCID: PMC10235508 DOI: 10.3389/fnins.2023.1195724] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 05/02/2023] [Indexed: 06/06/2023] Open
Abstract
The inheritance of Apolipoprotein E4 (APOEε4) brings the highest genetic risk of Alzheimer's disease (AD), arguably the highest genetic risk in human pathology. Since the discovery of the association, APOE protein isoforms have been at the center of tens of thousands of studies and reports. While, without a doubt, our knowledge about the normal physiological function of APOE isoforms in the brain has increased tremendously, the questions of how the inheritance of the APOEε4 allele translates into a risk of AD, and the risk is materialized, remain unanswered. Moreover, the knowledge about the risk associated with APOEε4 has not helped design a meaningful preventative or therapeutic strategy. Animal models with targeted replacement of Apoe have been generated and, thanks to the recent NIH/NIA/Alzheimer's disease Association initiative, are now freely available to AD researchers. While helpful in many aspects, none of the available models recapitulates normal physiological transcriptional regulation of the human APOE gene cluster. Changes in epigenetic regulation of APOE alleles in animal models in response to external insults have rarely been if ever, addressed. However, these animal models provide a useful tool to handle questions and investigate protein-protein interactions with proteins expressed by other recently discovered genes and gene variants considered genetic risk factors of AD, like Triggering Receptor expressed on Myeloid cells 2 (TREM2). In this review, we discuss genetic and epigenetic regulatory mechanisms controlling and influencing APOE expression and focus on interactions of APOE and TREM2 in the context of microglia and astrocytes' role in AD-like pathology in animal models.
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20
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Jain N, Holtzman DM. Insights from new in vivo models of TREM2 variants. Mol Neurodegener 2023; 18:21. [PMID: 37016433 PMCID: PMC10074644 DOI: 10.1186/s13024-023-00609-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 02/23/2023] [Indexed: 04/06/2023] Open
Affiliation(s)
- Nimansha Jain
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University School of Medicine, MO, St. Louis, USA
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, MO, St. Louis, USA
| | - David M Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.
- Hope Center for Neurological Disorders, Washington University School of Medicine, MO, St. Louis, USA.
- Knight Alzheimer's Disease Research Center, Washington University School of Medicine, MO, St. Louis, USA.
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21
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Pandey RS, Kotredes KP, Sasner M, Howell GR, Carter GW. Differential splicing of neuronal genes in a Trem2*R47H mouse model mimics alterations associated with Alzheimer's disease. BMC Genomics 2023; 24:172. [PMID: 37016304 PMCID: PMC10074678 DOI: 10.1186/s12864-023-09280-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 03/29/2023] [Indexed: 04/06/2023] Open
Abstract
BACKGROUND Molecular characterization of late-onset Alzheimer's disease (LOAD), the leading cause of age-related dementia, has revealed transcripts, proteins, and pathway alterations associated with disease. Assessing these postmortem signatures of LOAD in experimental model systems can further elucidate their relevance to disease origins and progression. Model organisms engineered with human genetic factors further link these signatures to disease-associated variants, especially when studies are designed to leverage homology across species. Here we assess differential gene splicing patterns in aging mouse models carrying humanized APOE4 and/or the Trem2*R47H variant on a C57BL/6J background. We performed a differential expression of gene (DEG) and differential splicing analyses on whole brain transcriptomes at multiple ages. To better understand the difference between differentially expressed and differentially spliced genes, we evaluated enrichment of KEGG pathways and cell-type specific gene signatures of the adult brain from each alteration type. To determine LOAD relevance, we compared differential splicing results from mouse models with multiple human AD splicing studies. RESULTS We found that differentially expressed genes in Trem2*R47H mice were significantly enriched in multiple AD-related pathways, including immune response, osteoclast differentiation, and metabolism, whereas differentially spliced genes were enriched for neuronal related functions, including GABAergic synapse and glutamatergic synapse. These results were reinforced by the enrichment of microglial genes in DEGs and neuronal genes in differentially spliced genes in Trem2*R47H mice. We observed significant overlap between differentially spliced genes in Trem2*R47H mice and brains from human AD subjects. These effects were absent in APOE4 mice and suppressed in APOE4.Trem2*R47H double mutant mice relative to Trem2*R47H mice. CONCLUSIONS The cross-species observation that alternative splicing observed in LOAD are present in Trem2*R47H mouse models suggests a novel link between this candidate risk gene and molecular signatures of LOAD in neurons and demonstrates how deep molecular analysis of new genetic models links molecular disease outcomes to a human candidate gene.
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Affiliation(s)
- Ravi S Pandey
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA
| | - Kevin P Kotredes
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - Michael Sasner
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - Gareth R Howell
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - Gregory W Carter
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA.
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA.
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22
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Sung JH, Ou Y, Barger SW. Amyloid β-Peptide Effects on Glucose Regulation Are Dependent on Apolipoprotein E Genotype. eNeuro 2023; 10:ENEURO.0376-22.2023. [PMID: 37163733 PMCID: PMC10135078 DOI: 10.1523/eneuro.0376-22.2023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 01/26/2023] [Accepted: 02/14/2023] [Indexed: 05/12/2023] Open
Abstract
The apolipoprotein E gene (APOE) confers the greatest genetic risk factor for Alzheimer's disease (AD), wherein the ε4 allele confers an elevated risk compared with the ε3 allele. Biological mechanisms that differ across these alleles have been explored in mouse models wherein the murine Apoe gene has undergone targeted replacement with sequences encoding human ApoE3 or ApoE4 (ApoE-TR mice). Such models have indicated that the two variants of ApoE produce differential effects on energy metabolism, including metabolic syndrome. However, glucose regulation has not been compared in ApoE-TR mice with and without amyloid β-peptide (Aβ) accumulation. We crossed ApoE3-TR and ApoE4-TR mice with a transgenic line that accumulates human Aβ1-42 In male ApoE3-TR mice, introduction of Aβ caused aberrations in glucose tolerance and in membrane translocation of astrocytic glucose transporter 1 (GLUT1). Phosphorylation of Tau at AD-relevant sites was correlated with glucose intolerance. These effects appeared independent of insulin dysregulation and were not observed in females. In ApoE4-TR mice, the addition of Aβ had no significant effects because of a trend toward perturbation of the baseline values.
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Affiliation(s)
- Jin Hee Sung
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205
| | - Yang Ou
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205
| | - Steven W Barger
- Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72205
- Department of Neurobiology and Developmental Sciences, University of Arkansas for Medical Sciences, Little Rock, AR 72205
- Geriatric Research, Education and Clinical Center, Central Arkansas Veterans Healthcare System, Little Rock, AR 72205
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23
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Tran KM, Kawauchi S, Kramár EA, Rezaie N, Liang HY, Sakr JS, Gomez-Arboledas A, Arreola MA, Cunha CD, Phan J, Wang S, Collins S, Walker A, Shi KX, Neumann J, Filimban G, Shi Z, Milinkeviciute G, Javonillo DI, Tran K, Gantuz M, Forner S, Swarup V, Tenner AJ, LaFerla FM, Wood MA, Mortazavi A, MacGregor GR, Green KN. A Trem2 R47H mouse model without cryptic splicing drives age- and disease-dependent tissue damage and synaptic loss in response to plaques. Mol Neurodegener 2023; 18:12. [PMID: 36803190 PMCID: PMC9938579 DOI: 10.1186/s13024-023-00598-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 01/19/2023] [Indexed: 02/19/2023] Open
Abstract
BACKGROUND The TREM2 R47H variant is one of the strongest genetic risk factors for late-onset Alzheimer's Disease (AD). Unfortunately, many current Trem2 R47H mouse models are associated with cryptic mRNA splicing of the mutant allele that produces a confounding reduction in protein product. To overcome this issue, we developed the Trem2R47H NSS (Normal Splice Site) mouse model in which the Trem2 allele is expressed at a similar level to the wild-type Trem2 allele without evidence of cryptic splicing products. METHODS Trem2R47H NSS mice were treated with the demyelinating agent cuprizone, or crossed with the 5xFAD mouse model of amyloidosis, to explore the impact of the TREM2 R47H variant on inflammatory responses to demyelination, plaque development, and the brain's response to plaques. RESULTS Trem2R47H NSS mice display an appropriate inflammatory response to cuprizone challenge, and do not recapitulate the null allele in terms of impeded inflammatory responses to demyelination. Utilizing the 5xFAD mouse model, we report age- and disease-dependent changes in Trem2R47H NSS mice in response to development of AD-like pathology. At an early (4-month-old) disease stage, hemizygous 5xFAD/homozygous Trem2R47H NSS (5xFAD/Trem2R47H NSS) mice have reduced size and number of microglia that display impaired interaction with plaques compared to microglia in age-matched 5xFAD hemizygous controls. This is associated with a suppressed inflammatory response but increased dystrophic neurites and axonal damage as measured by plasma neurofilament light chain (NfL) level. Homozygosity for Trem2R47H NSS suppressed LTP deficits and loss of presynaptic puncta caused by the 5xFAD transgene array in 4-month-old mice. At a more advanced (12-month-old) disease stage 5xFAD/Trem2R47H NSS mice no longer display impaired plaque-microglia interaction or suppressed inflammatory gene expression, although NfL levels remain elevated, and a unique interferon-related gene expression signature is seen. Twelve-month old Trem2R47H NSS mice also display LTP deficits and postsynaptic loss. CONCLUSIONS The Trem2R47H NSS mouse is a valuable model that can be used to investigate age-dependent effects of the AD-risk R47H mutation on TREM2 and microglial function including its effects on plaque development, microglial-plaque interaction, production of a unique interferon signature and associated tissue damage.
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Affiliation(s)
- Kristine M. Tran
- Department of Neurobiology and Behavior, University of California, Irvine, USA
| | - Shimako Kawauchi
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
- Transgenic Mouse Facility, Office of Research, ULAR, Irvine, USA
| | - Enikö A. Kramár
- Department of Neurobiology and Behavior, University of California, Irvine, USA
| | - Narges Rezaie
- Department of Developmental and Cell Biology, University of California, Irvine, USA
- Center for Complex Biological Systems, Irvine, USA
| | - Heidi Yahan Liang
- Department of Developmental and Cell Biology, University of California, Irvine, USA
- Center for Complex Biological Systems, Irvine, USA
| | - Jasmine S. Sakr
- Department of Pharmaceutical Sciences, University of California, Irvine, USA
| | | | - Miguel A. Arreola
- Department of Neurobiology and Behavior, University of California, Irvine, USA
| | - Celia da Cunha
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
| | - Jimmy Phan
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
| | - Shuling Wang
- Transgenic Mouse Facility, Office of Research, ULAR, Irvine, USA
| | - Sherilyn Collins
- Transgenic Mouse Facility, Office of Research, ULAR, Irvine, USA
| | - Amber Walker
- Transgenic Mouse Facility, Office of Research, ULAR, Irvine, USA
| | - Kai-Xuan Shi
- Transgenic Mouse Facility, Office of Research, ULAR, Irvine, USA
| | - Jonathan Neumann
- Transgenic Mouse Facility, Office of Research, ULAR, Irvine, USA
| | - Ghassan Filimban
- Department of Developmental and Cell Biology, University of California, Irvine, USA
| | - Zechuan Shi
- Department of Neurobiology and Behavior, University of California, Irvine, USA
| | - Giedre Milinkeviciute
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
| | - Dominic I. Javonillo
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
| | - Katelynn Tran
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
| | - Magdalena Gantuz
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
| | - Stefania Forner
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
| | - Vivek Swarup
- Department of Neurobiology and Behavior, University of California, Irvine, USA
- Center for Complex Biological Systems, Irvine, USA
| | - Andrea J. Tenner
- Department of Neurobiology and Behavior, University of California, Irvine, USA
- Department of Molecular Biology & Biochemistry, University of California, Irvine, USA
- Department of Pathology and Laboratory Medicine, University of California, Irvine, USA
| | - Frank M. LaFerla
- Department of Neurobiology and Behavior, University of California, Irvine, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
| | - Marcelo A. Wood
- Department of Neurobiology and Behavior, University of California, Irvine, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
| | - Ali Mortazavi
- Department of Developmental and Cell Biology, University of California, Irvine, USA
- Center for Complex Biological Systems, Irvine, USA
| | - Grant R. MacGregor
- Transgenic Mouse Facility, Office of Research, ULAR, Irvine, USA
- Department of Developmental and Cell Biology, University of California, Irvine, USA
| | - Kim N. Green
- Department of Neurobiology and Behavior, University of California, Irvine, USA
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, USA
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24
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Amyloid-β in Alzheimer's disease - front and centre after all? Neuronal Signal 2023; 7:NS20220086. [PMID: 36687366 PMCID: PMC9829960 DOI: 10.1042/ns20220086] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 12/07/2022] [Accepted: 12/08/2022] [Indexed: 12/13/2022] Open
Abstract
The amyloid hypothesis, which proposes that accumulation of the peptide amyloid-β at synapses is the key driver of Alzheimer's disease (AD) pathogenesis, has been the dominant idea in the field of Alzheimer's research for nearly 30 years. Recently, however, serious doubts about its validity have emerged, largely motivated by disappointing results from anti-amyloid therapeutics in clinical trials. As a result, much of the AD research effort has shifted to understanding the roles of a variety of other entities implicated in pathogenesis, such as microglia, astrocytes, apolipoprotein E and several others. All undoubtedly play an important role, but the nature of this has in many cases remained unclear, partly due to their pleiotropic functions. Here, we propose that all of these AD-related entities share at least one overlapping function, which is the local regulation of amyloid-β levels, and that this may be critical to their role in AD pathogenesis. We also review what is currently known of the actions of amyloid-β at the synapse in health and disease, and consider in particular how it might interact with the key AD-associated protein tau in the disease setting. There is much compelling evidence in support of the amyloid hypothesis; rather than detract from this, the implication of many disparate AD-associated cell types, molecules and processes in the regulation of amyloid-β levels may lend further support.
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25
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Reagan AM, Christensen KE, Graham LC, Bedwell AA, Eldridge K, Speedy R, Figueiredo LL, Persohn SC, Bottiglieri T, Nho K, Sasner M, Territo PR, Rozen R, Howell GR. The 677C > T variant in methylenetetrahydrofolate reductase causes morphological and functional cerebrovascular deficits in mice. J Cereb Blood Flow Metab 2022; 42:2333-2350. [PMID: 36050860 PMCID: PMC9670012 DOI: 10.1177/0271678x221122644] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 06/30/2022] [Accepted: 07/12/2022] [Indexed: 02/03/2023]
Abstract
Vascular contributions to cognitive impairment and dementia (VCID) particularly Alzheimer's disease and related dementias (ADRDs) are increasing; however, mechanisms driving cerebrovascular decline are poorly understood. Methylenetetrahydrofolate reductase (MTHFR) is a critical enzyme in the folate and methionine cycles. Variants in MTHFR, notably 677 C > T, are associated with dementias, but no mouse model existed to identify mechanisms by which MTHFR677C > T increases risk. Therefore, MODEL-AD created a novel knock-in (KI) strain carrying the Mthfr677C > T allele on the C57BL/6J background (Mthfr677C > T) to characterize morphology and function perturbed by the variant. Consistent with human clinical data, Mthfr677C > T mice have reduced enzyme activity in the liver and elevated plasma homocysteine levels. MTHFR enzyme activity is also reduced in the Mthfr677C > T brain. Mice showed reduced tissue perfusion in numerous brain regions by PET/CT as well as significantly reduced vascular density, pericyte number and increased GFAP-expressing astrocytes in frontal cortex. Electron microscopy revealed cerebrovascular damage including endothelial and pericyte apoptosis, reduced luminal size, and increased astrocyte and microglial presence in the microenvironment. Collectively, these data support a mechanism by which variations in MTHFR perturb cerebrovascular health laying the foundation to incorporate our new Mthfr677C > T mouse model in studies examining genetic susceptibility for cerebrovascular dysfunction in ADRDs.
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Affiliation(s)
| | - Karen E Christensen
- Departments of Human Genetics and Pediatrics, McGill University,
Research Institute of the Health Center, Montreal, QC, Canada
| | | | - Amanda A Bedwell
- Department of Medicine, Division of Clinical Pharmacology,
Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kierra Eldridge
- Department of Medicine, Division of Clinical Pharmacology,
Indiana University School of Medicine, Indianapolis, IN, USA
| | - Rachael Speedy
- Department of Medicine, Division of Clinical Pharmacology,
Indiana University School of Medicine, Indianapolis, IN, USA
| | - Lucas L Figueiredo
- Department of Medicine, Division of Clinical Pharmacology,
Indiana University School of Medicine, Indianapolis, IN, USA
| | - Scott C Persohn
- Department of Medicine, Division of Clinical Pharmacology,
Indiana University School of Medicine, Indianapolis, IN, USA
| | - Teodoro Bottiglieri
- Center of Metabolomics, Institute of Metabolic Disease, Baylor
Scott & White Research Institute, Dallas, TX, USA
| | - Kwangsik Nho
- Center for Neuroimaging, Indiana Alzheimer’s Disease Research
Center, Department of Radiology and Imaging Sciences, Indiana University School
of Medicine, Indianapolis, IN, USA
| | | | - Paul R Territo
- Department of Medicine, Division of Clinical Pharmacology,
Indiana University School of Medicine, Indianapolis, IN, USA
| | - Rima Rozen
- Departments of Human Genetics and Pediatrics, McGill University,
Research Institute of the Health Center, Montreal, QC, Canada
| | - Gareth R Howell
- The Jackson Laboratory, Bar Harbor, ME, USA
- Graduate School of Biomedical Sciences, Tufts University School
of Medicine, Boston, MA, USA
- Graduate School of Biomedical Sciences and Engineering,
University of Maine, Orono, ME, USA
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26
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Evans AK, Defensor E, Shamloo M. Selective Vulnerability of the Locus Coeruleus Noradrenergic System and its Role in Modulation of Neuroinflammation, Cognition, and Neurodegeneration. Front Pharmacol 2022; 13:1030609. [PMID: 36532725 PMCID: PMC9748190 DOI: 10.3389/fphar.2022.1030609] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 11/14/2022] [Indexed: 05/13/2024] Open
Abstract
Locus coeruleus (LC) noradrenergic (NE) neurons supply the main adrenergic input to the forebrain. NE is a dual modulator of cognition and neuroinflammation. NE neurons of the LC are particularly vulnerable to degeneration both with normal aging and in neurodegenerative disorders. Consequences of this vulnerability can be observed in both cognitive impairment and dysregulation of neuroinflammation. LC NE neurons are pacemaker neurons that are active during waking and arousal and are responsive to stressors in the environment. Chronic overactivation is thought to be a major contributor to the vulnerability of these neurons. Here we review what is known about the mechanisms underlying this neuronal vulnerability and combinations of environmental and genetic factors that contribute to confer risk to these important brainstem neuromodulatory and immunomodulatory neurons. Finally, we discuss proposed and potential interventions that may reduce the overall risk for LC NE neuronal degeneration.
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Affiliation(s)
- Andrew K. Evans
- School of Medicine, Stanford University, Stanford, CA, United States
| | | | - Mehrdad Shamloo
- School of Medicine, Stanford University, Stanford, CA, United States
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27
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Bocharova OV, Fisher A, Pandit NP, Molesworth K, Mychko O, Scott AJ, Makarava N, Ritzel R, Baskakov IV. Aβ plaques do not protect against HSV-1 infection in a mouse model of familial Alzheimer's disease, and HSV-1 does not induce Aβ pathology in a model of late onset Alzheimer's disease. Brain Pathol 2022; 33:e13116. [PMID: 36064300 PMCID: PMC9836376 DOI: 10.1111/bpa.13116] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/11/2022] [Indexed: 01/21/2023] Open
Abstract
The possibility that the etiology of late onset Alzheimer's disease is linked to viral infections of the CNS has been actively debated in recent years. According to the antiviral protection hypothesis, viral pathogens trigger aggregation of Aβ peptides that are produced as a defense mechanism in response to infection to entrap and neutralize pathogens. To test the causative relationship between viral infection and Aβ aggregation, the current study examined whether Aβ plaques protect the mouse brain against Herpes Simplex Virus 1 (HSV-1) infection introduced via a physiological route and whether HSV-1 infection triggers formation of Aβ plaques in a mouse model of late-onset AD that does not develop Aβ pathology spontaneously. In aged 5XFAD mice infected via eye scarification, high density of Aβ aggregates did not improve survival time or rate when compared with wild type controls. In 5XFADs, viral replication sites were found in brain areas with a high density of extracellular Aβ deposits, however, no association between HSV-1 and Aβ aggregates could be found. To test whether HSV-1 triggers Aβ aggregation in a mouse model that lacks spontaneous Aβ pathology, 13-month-old hAβ/APOE4/Trem2*R47H mice were infected with HSV-1 via eye scarification with the McKrae HSV-1 strain, intracranial inoculation with McKrae, intracranial inoculation after priming with LPS for 6 weeks, or intracranial inoculation with high doses of McKrae or 17syn + strains that represent different degrees of neurovirulence. No signs of Aβ aggregation were found in any of the experimental groups. Instead, extensive infiltration of peripheral leukocytes was observed during the acute stage of HSV-1 infection, and phagocytic activity of myeloid cells was identified as the primary defense mechanism against HSV-1. The current results argue against a direct causative relationship between HSV-1 infection and Aβ pathology.
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Affiliation(s)
- Olga V. Bocharova
- Center for Biomedical Engineering and TechnologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA,Department of Anatomy and NeurobiologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Aidan Fisher
- Center for Biomedical Engineering and TechnologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA,Department of Anatomy and NeurobiologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Narayan P. Pandit
- Center for Biomedical Engineering and TechnologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA,Department of Anatomy and NeurobiologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Kara Molesworth
- Center for Biomedical Engineering and TechnologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA,Department of Anatomy and NeurobiologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Olga Mychko
- Center for Biomedical Engineering and TechnologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA,Department of Anatomy and NeurobiologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Alison J. Scott
- Department of Microbial PathogenesisUniversity of Maryland School of DentistryBaltimoreMarylandUSA
| | - Natallia Makarava
- Center for Biomedical Engineering and TechnologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA,Department of Anatomy and NeurobiologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Rodney Ritzel
- Department of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR)University of Maryland School of MedicineBaltimoreMarylandUSA
| | - Ilia V. Baskakov
- Center for Biomedical Engineering and TechnologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA,Department of Anatomy and NeurobiologyUniversity of Maryland School of MedicineBaltimoreMarylandUSA
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28
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McLean JW, Bhattrai A, Vitali F, Raikes AC, Wiegand JPL, Brinton RD. Contributions of sex and genotype to exploratory behavior differences in an aged humanized APOE mouse model of late-onset Alzheimer's disease. Learn Mem 2022; 29:321-331. [PMID: 36206387 PMCID: PMC9488030 DOI: 10.1101/lm.053588.122] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 07/26/2022] [Indexed: 11/25/2022]
Abstract
Age, genetics, and chromosomal sex have been identified as critical risk factors for late-onset Alzheimer's disease (LOAD). The predominant genetic risk factor for LOAD is the apolipoprotein E ε4 allele (APOE4), and the prevalence of LOAD is higher in females. However, the translational validity of APOE4 mouse models for AD-related cognitive impairment remains to be fully determined. The present study investigated the role of both sex and genotype on learning and memory in aged, humanized APOE knock-in mice. Aged (23.27 mo ± 1.21 mo; 39 male/37 female) APOE3/3, APOE3/4, and APOE4/4 mice performed a novel object recognition (NOR) assay. Task-related metrics were analyzed using two-way sex by genotype ANOVAs. Sex differences were more prominent relative to APOE genotype. Prior to NOR, female mice exhibited thigmotaxic center zone avoidance during the open field task relative to males, regardless of genotype. Within object familiarization and NOR tasks, females had greater object interaction and locomotion. Interestingly, only APOE4/4 females on average recognized the novel object. These results suggest that APOE4, although strongly related to LOAD pathogenesis, does not drive cognitive decline in the absence of other risk factors even in very aged mice. Chromosomal sex is a key driver of behavioral phenotypes and thus is a critical variable for translatability of interventions designed to preserve learning and memory in animal models of LOAD. Last, there was a very high degree of variability in behavioral performance across APOE genotypes. A cluster analysis of the behavioral data revealed a low-activity and a high-activity cluster. APOE4 carriers were overrepresented in the low-activity cluster, while male:female distributions did not differ. Collectively, the behavioral data indicate that chromosomal sex has the greatest impact on behavioral phenotype, and APOE4 carrier status may confer greater risk for cognitive decline in some animals.
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Affiliation(s)
- John W McLean
- Center for Innovation in Brain Science, University of Arizona, Tucson, Arizona 85721, USA
- Graduate Interdisciplinary Program in Neuroscience, University of Arizona, Tucson, Arizona 85721, USA
| | - Avnish Bhattrai
- Center for Innovation in Brain Science, University of Arizona, Tucson, Arizona 85721, USA
- Department of Pharmacology, College of Medicine, University of Arizona, Tucson, Arizona 85724, USA
| | - Francesca Vitali
- Center for Innovation in Brain Science, University of Arizona, Tucson, Arizona 85721, USA
| | - Adam C Raikes
- Center for Innovation in Brain Science, University of Arizona, Tucson, Arizona 85721, USA
| | - Jean-Paul L Wiegand
- Center for Innovation in Brain Science, University of Arizona, Tucson, Arizona 85721, USA
| | - Roberta Diaz Brinton
- Center for Innovation in Brain Science, University of Arizona, Tucson, Arizona 85721, USA
- Department of Pharmacology, College of Medicine, University of Arizona, Tucson, Arizona 85724, USA
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Muratoglu SC, Charette MF, Galis ZS, Greenstein AS, Daugherty A, Joutel A, Kozel BA, Wilcock DM, Collins EC, Sorond FA, Howell GR, Hyacinth HI, Lloyd KKC, Stenmark KR, Boehm M, Kahn ML, Corriveau R, Wells S, Bussey TJ, Sukoff Rizzo SJ, Iruela-Arispe ML. Perspectives on Cognitive Phenotypes and Models of Vascular Disease. Arterioscler Thromb Vasc Biol 2022; 42:831-838. [PMID: 35510549 PMCID: PMC9233038 DOI: 10.1161/atvbaha.122.317395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Clinical investigations have established that vascular-associated medical conditions are significant risk factors for various kinds of dementia. And yet, we are unable to associate certain types of vascular deficiencies with specific cognitive impairments. The reasons for this are many, not the least of which are that most vascular disorders are multi-factorial and the development of vascular dementia in humans is often a multi-year or multi-decade progression. To better study vascular disease and its underlying causes, the National Heart, Lung, and Blood Institute of the National Institutes of Health has invested considerable resources in the development of animal models that recapitulate various aspects of human vascular disease. Many of these models, mainly in the mouse, are based on genetic mutations, frequently using single-gene mutations to examine the role of specific proteins in vascular function. These models could serve as useful tools for understanding the association of specific vascular signaling pathways with specific neurological and cognitive impairments related to dementia. To advance the state of the vascular dementia field and improve the information sharing between the vascular biology and neurobehavioral research communities, National Heart, Lung, and Blood Institute convened a workshop to bring in scientists from these knowledge domains to discuss the potential utility of establishing a comprehensive phenotypic cognitive assessment of a selected set of existing mouse models, representative of the spectrum of vascular disorders, with particular attention focused on age, sex, and rigor and reproducibility. The workshop highlighted the potential of associating well-characterized vascular disease models, with validated cognitive outcomes, that can be used to link specific vascular signaling pathways with specific cognitive and neurobehavioral deficits.
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Affiliation(s)
- Selen C Muratoglu
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (S.C.M., M.F.C., Z.S.G.)
| | - Marc F Charette
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (S.C.M., M.F.C., Z.S.G.)
| | - Zorina S Galis
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (S.C.M., M.F.C., Z.S.G.)
| | - Adam S Greenstein
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, United Kingdom (A.S.G.)
| | - Alan Daugherty
- Saha Cardiovascular Research Center (A.D.), University of Kentucky, Lexington
| | - Anne Joutel
- Institute of Psychiatry and Neurosciences of Paris, INSERM U1266, Université Paris Descartes, France (A.J.)
| | - Beth A Kozel
- Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (B.A.K., M.B.)
| | - Donna M Wilcock
- Sanders-Brown Center on Aging, Department of Neuroscience (D.M.W.), University of Kentucky, Lexington
| | | | - Farzaneh A Sorond
- Division of Stroke and Neurocritical Care, Northwestern University Feinberg School of Medicine, Chicago, IL (F.A.S.)
| | - Gareth R Howell
- The Jackson Laboratory, Bar Harbor, ME (G.R.H.)
- Graduate Program of Genetics, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA (G.R.H.)
| | - Hyacinth I Hyacinth
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH (H.I.H.)
| | - Kent K C Lloyd
- Mutant Mouse Resource and Research Center (MMRRC) at the University of California, Davis (K.K.C.L.)
| | - Kurt R Stenmark
- Developmental Lung Biology and Cardiovascular Pulmonary Research Laboratories, University of Colorado, Denver (K.R.S.)
| | - Manfred Boehm
- Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (B.A.K., M.B.)
| | - Mark L Kahn
- Department of Medicine and Cardiovascular Institute, University of Pennsylvania, Perelman School of Medicine, Philadelphia (M.L.K.)
| | - Roderick Corriveau
- National Institute for Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (R.C.)
| | - Sara Wells
- Mary Lyon Centre, Harwell Campus, MRC Harwell Institute, Oxfordshire, United Kingdom (S.W.)
| | - Timothy J Bussey
- Translational Neuroscience Group, Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada (T.J.B.)
| | - Stacey J Sukoff Rizzo
- Department of Medicine-Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA (S.J.S.R.)
| | - M Luisa Iruela-Arispe
- Department of Cell and Developmental Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL (M.L.I.-A.)
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Oblak AL, Kotredes KP, Pandey RS, Reagan AM, Ingraham C, Perkins B, Lloyd C, Baker D, Lin PB, Soni DM, Tsai AP, Persohn SA, Bedwell AA, Eldridge K, Speedy R, Meyer JA, Peters JS, Figueiredo LL, Sasner M, Territo PR, Sukoff Rizzo SJ, Carter GW, Lamb BT, Howell GR. Plcg2M28L Interacts With High Fat/High Sugar Diet to Accelerate Alzheimer's Disease-Relevant Phenotypes in Mice. Front Aging Neurosci 2022; 14:886575. [PMID: 35813947 PMCID: PMC9263289 DOI: 10.3389/fnagi.2022.886575] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 05/09/2022] [Indexed: 11/30/2022] Open
Abstract
Obesity is recognized as a significant risk factor for Alzheimer's disease (AD). Studies have supported the notion that obesity accelerates AD-related pathophysiology in mouse models of AD. The majority of studies, to date, have focused on the use of early-onset AD models. Here, we evaluate the impact of genetic risk factors on late-onset AD (LOAD) in mice fed with a high fat/high sugar diet (HFD). We focused on three mouse models created through the IU/JAX/PITT MODEL-AD Center. These included a combined risk model with APOE4 and a variant in triggering receptor expressed on myeloid cells 2 (Trem2R47H ). We have termed this model, LOAD1. Additional variants including the M28L variant in phospholipase C Gamma 2 (Plcg2M28L ) and the 677C > T variant in methylenetetrahydrofolate reductase (Mthfr 677C > T ) were engineered by CRISPR onto LOAD1 to generate LOAD1.Plcg2M28L and LOAD1.Mthfr 677C > T . At 2 months of age, animals were placed on an HFD that induces obesity or a control diet (CD), until 12 months of age. Throughout the study, blood was collected to assess the levels of cholesterol and glucose. Positron emission tomography/computed tomography (PET/CT) was completed prior to sacrifice to image for glucose utilization and brain perfusion. After the completion of the study, blood and brains were collected for analysis. As expected, animals fed a HFD, showed a significant increase in body weight compared to those fed a CD. Glucose increased as a function of HFD in females only with cholesterol increasing in both sexes. Interestingly, LOAD1.Plcg2M28L demonstrated an increase in microglia density and alterations in regional brain glucose and perfusion on HFD. These changes were not observed in LOAD1 or LOAD1.Mthfr 677C > T animals fed with HFD. Furthermore, LOAD1.Plcg2M28L but not LOAD1.Mthfr 677C > T or LOAD1 animals showed transcriptomics correlations with human AD modules. Our results show that HFD affects the brain in a genotype-specific manner. Further insight into this process may have significant implications for the development of lifestyle interventions for the treatment of AD.
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Affiliation(s)
- Adrian L. Oblak
- Indiana University School of Medicine, Indianapolis, IN, United States
- Department of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | | | - Ravi S. Pandey
- The Jackson Laboratory, Bar Harbor, ME, United States
- Jackson Laboratory for Genomic Medicine, Farmington, CT, United States
| | | | - Cynthia Ingraham
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Bridget Perkins
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Christopher Lloyd
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Deborah Baker
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Peter B. Lin
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Disha M. Soni
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Andy P. Tsai
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Scott A. Persohn
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Amanda A. Bedwell
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Kierra Eldridge
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Rachael Speedy
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Jill A. Meyer
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Johnathan S. Peters
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | - Lucas L. Figueiredo
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
| | | | - Paul R. Territo
- Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
- Department of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Stacey J. Sukoff Rizzo
- Department of Medicine, Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | | | - Bruce T. Lamb
- Indiana University School of Medicine, Indianapolis, IN, United States
- Department of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States
- Stark Neurosciences Research Institute, Indianapolis, IN, United States
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Chen B, Marquez-Nostra B, Belitzky E, Toyonaga T, Tong J, Huang Y, Cai Z. PET Imaging in Animal Models of Alzheimer’s Disease. Front Neurosci 2022; 16:872509. [PMID: 35685772 PMCID: PMC9171374 DOI: 10.3389/fnins.2022.872509] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
The successful development and translation of PET imaging agents targeting β-amyloid plaques and hyperphosphorylated tau tangles have allowed for in vivo detection of these hallmarks of Alzheimer’s disease (AD) antemortem. Amyloid and tau PET have been incorporated into the A/T/N scheme for AD characterization and have become an integral part of ongoing clinical trials to screen patients for enrollment, prove drug action mechanisms, and monitor therapeutic effects. Meanwhile, preclinical PET imaging in animal models of AD can provide supportive information for mechanistic studies. With the recent advancement of gene editing technologies and AD animal model development, preclinical PET imaging in AD models will further facilitate our understanding of AD pathogenesis/progression and the development of novel treatments. In this study, we review the current state-of-the-art in preclinical PET imaging using animal models of AD and suggest future research directions.
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