Gene therapy for Alzheimer’s disease targeting CD33 reduces amyloid beta accumulation and neuroinflammation


BIBLIOGRAPHIC THERAPEUTIC AGENT ANIMAL MODEL EXPERIMENTAL DESIGN OUTCOMES

Bibliographic

Year of Publication:
2020
Contact PI Name:
Casey A. Maguire
Contact PI Affiliation:
Molecular Neurogenetics Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts, USA
Co-Authors:
Ana Griciuc, Anthony N. Federico, Jeyashree Natasan, Angela M. Forte, Danielle McGinty, Huong Nguyen, Adrienn Volak, Stanley LeRoy, Sheetal Gandhi, Eli. P. Lerner, Eloise Hudry, Rudolph E. Tanzi
Primary Reference (PubMED ID):
Funding Source:
National Institute on Aging (NIA)
Cure Alzheimer’s Fund
JPB Foundation
Partners Healthcare Innovation Discovery Grant Program
Study Goal and Principal Findings:

Neuroinflammation is a key contributor to the pathology of Alzheimer’s disease (AD). CD33 (Siglec-3) is a transmembrane sialic acid-binding receptor on the surface of microglial cells. CD33 is upregulated on microglial cells from post-mortem AD patient brains, and high levels of CD33 inhibit uptake and clearance of amyloid beta (Aβ) in microglial cell cultures. Furthermore, knockout of CD33 reduces amyloid plaque burden in mouse models of AD. Here, we tested whether a gene therapy strategy to reduce CD33 on microglia in AD could decrease Aβ plaque load. Intracerebroventricular injection of an adeno-associated virus (AAV) vector-based system encoding an artificial microRNA targeting CD33 (miRCD33) into APP/PS1 mice reduced CD33 mRNA and TBS-soluble Aβ40 and Aβ42 levels in brain extracts. Treatment of APP/PS1 mice with miRCD33 vector at an early age (2 months) was more effective at reducing Aβ plaque burden than intervening at later times (8 months). Furthermore, early intervention downregulated several microglial receptor transcripts (e.g. CD11c, CD47 and CD36) and pro-inflammatory activation genes (e.g. Tlr4 and Il1b). Marked reductions in the chemokine Ccl2 and the pro-inflammatory cytokine Tnfα were observed at the protein level in the brain of APP/PS1 mice treated with miRCD33 vector. Overall, our data indicate that CD33 is a viable target for AAV-based knockdown strategies to reduce AD pathology.

Therapeutic Agent

Therapeutic Information:
Therapy Type:
Biologic - RNA
Therapeutic Agent:
miRCD33
Therapeutic Target:
CD33
Therapeutic Notes:
CD33 has been nominated as a potential target for AD. Nominated targets are obtained from several sources, including the National Institute on Aging's Accelerating Medicines Partnership in Alzheimer's Disease (AMP-AD) consortium. Targets have been identified using computational analyses of high-dimensional genomic, proteomic and/or metabolomic data derived from human samples. See Agora link for more information.

Animal Model

Model Information:
Species:
Mouse
Model Type:
APPxPS1
Strain/Genetic Background:
Not Reported

Experimental Design

Is the following information reported in the study?:
Power/Sample Size Calculation
Randomized into Groups
Blinded for Treatment
Blinded for Outcome Measures
Pharmacokinetic Measures
Pharmacodynamic Measures
Toxicology Measures
ADME Measures
Biomarkers
Dose
Formulation
Route of Delivery
Duration of Treatment
Frequency of Administration
Age of Animal at the Beginning of Treatment
Age of Animal at the End of Treatment
Sex as a Biological Variable
Study Balanced for Sex as a Biological Variable
Number of Premature Deaths
Number of Excluded Animals
Statistical Plan
Genetic Background
Inclusion/Exclusion Criteria Included
Conflict of Interest
Experiment Notes

The authors used only female APP/PS1 mice due to the variance in Aβ42 levels between males and females. In addition, the authors have previously reported that AAV9 transduces brain in females with a higher efficiency as compared to males when injected intravenously.

Outcomes

Outcome Measured
Outcome Parameters
Histopathology
Activated Microglia
beta Amyloid Deposits
beta Amyloid Load
Colocalization-Astrocytes/Microglia/Amyloid Plaques
Biochemical
Brain-Buffer Soluble beta Amyloid Peptide 38
Brain-Buffer Soluble beta Amyloid Peptide 40
Brain-Buffer Soluble beta Amyloid Peptide 42
Brain-Formic Acid Soluble beta Amyloid Peptide 38
Brain-Formic Acid Soluble beta Amyloid Peptide 40
Brain-Formic Acid Soluble beta Amyloid Peptide 42
Amyloid Precursor Protein (APP)
APP-CTF83 (CTF alpha)
APP-CTF99 (CTF beta)
Apolipoprotein E (ApoE) mRNA
Arginase 1 (ARG1) mRNA
CD11c mRNA
CD33 mRNA
CD36 mRNA
CD47 mRNA
Chemokine C-C Motif Ligand 2 (CCL2) mRNA
Chemokine C-X-C Motif Ligand 1 (CXCL1/mKC)
Interferon (IFN) gamma
Interleukin 1 beta (IL-1 beta)
Interleukin 1 beta (IL-1 beta) mRNA
Interleukin 2 (IL-2)
Interleukin 4 (IL-4)
Interleukin 5 (IL-5)
Interleukin 6 (IL-6)
Interleukin 6 (IL-6) mRNA
Interleukin 10 (IL-10)
Interleukin 12p70 (IL-12p70)
Keratinocyte Chemoattractant/Growth-Regulated Oncogene (KC/GRO)
Resistin-Like alpha (RETNLA/FIZZ1) mRNA
Toll-like Receptor 4 (TLR4) mRNA
Triggering Receptor Expressed on Myeloid Cells 2 (Trem2) mRNA
Tumor Necrosis Factor alpha (TNF alpha)
Tumor Necrosis Factor alpha (TNF alpha) mRNA
TYRO Protein Tyrosine Kinase Binding Protein (TYROBP/DAP12) mRNA
Chemokine C-C Motif Ligand 2/Monocyte Chemoattractant Protein 1 (CCL2/MCP1)
Immunochemistry
Brain-beta Amyloid Deposits
CD68
Glutamine Synthetase
Ionized Calcium Binding Adaptor Molecule 1 (Iba1)
Neuronal Marker NeuN
Microscopy
Stereology
Cell Biology
Flow Cytometry
FACS Analysis
CD33 Expression
Pharmacodynamics
Target Engagement (Inhibition CD33 Gene Expression)

Source URL: http://alzped.nia.nih.gov/gene-therapy-alzheimer’s