Modeling the β-secretase cleavage site and humanizing amyloid-beta precursor protein in rat and mouse to study Alzheimer's disease.


Journal

Molecular neurodegeneration
ISSN: 1750-1326
Titre abrégé: Mol Neurodegener
Pays: England
ID NLM: 101266600

Informations de publication

Date de publication:
19 10 2020
Historique:
received: 29 05 2020
accepted: 18 08 2020
entrez: 20 10 2020
pubmed: 21 10 2020
medline: 27 8 2021
Statut: epublish

Résumé

Three amino acid differences between rodent and human APP affect medically important features, including β-secretase cleavage of APP and Aβ peptide aggregation (De Strooper et al., EMBO J 14:4932-38, 1995; Ueno et al., Biochemistry 53:7523-30, 2014; Bush, 2003, Trends Neurosci 26:207-14). Most rodent models for Alzheimer's disease (AD) are, therefore, based on the human APP sequence, expressed from artificial mini-genes randomly inserted in the rodent genome. While these models mimic rather well various biochemical aspects of the disease, such as Aβ-aggregation, they are also prone to overexpression artifacts and to complex phenotypical alterations, due to genes affected in or close to the insertion site(s) of the mini-genes (Sasaguri et al., EMBO J 36:2473-87, 2017; Goodwin et al., Genome Res 29:494-505, 2019). Knock-in strategies which introduce clinical mutants in a humanized endogenous rodent APP sequence (Saito et al., Nat Neurosci 17:661-3, 2014) represent useful improvements, but need to be compared with appropriate humanized wildtype (WT) mice. Computational modelling of the human β-CTF bound to BACE1 was used to study the differential processing of rodent and human APP. We humanized the three pivotal residues we identified G676R, F681Y and R684H (labeled according to the human APP770 isoform) in the mouse and rat genomes using a CRISPR-Cas9 approach. These new models, termed mouse and rat App We show that introducing these three amino acid substitutions into the rodent sequence lowers the affinity of the APP substrate for BACE1 cleavage. The effect on β-secretase processing was confirmed as both humanized rodent models produce three times more (human) Aβ compared to the original WT strain. These models represent suitable controls, or starting points, for studying the effect of transgenes or knock-in mutations on APP processing (Saito et al., Nat Neurosci 17:661-3, 2014). We introduced the early-onset familial Alzheimer's disease (FAD) mutation M139T into the endogenous Rat Psen1 gene and provide an initial characterization of Aβ processing in this novel rat AD model. The different humanized APP models (rat and mouse) expressing human Aβ and PSEN1 M139T are valuable controls to study APP processing in vivo allowing the use of a human Aβ ELISA which is more sensitive than the equivalent system for rodents. These animals will be made available to the research community.

Sections du résumé

BACKGROUND
Three amino acid differences between rodent and human APP affect medically important features, including β-secretase cleavage of APP and Aβ peptide aggregation (De Strooper et al., EMBO J 14:4932-38, 1995; Ueno et al., Biochemistry 53:7523-30, 2014; Bush, 2003, Trends Neurosci 26:207-14). Most rodent models for Alzheimer's disease (AD) are, therefore, based on the human APP sequence, expressed from artificial mini-genes randomly inserted in the rodent genome. While these models mimic rather well various biochemical aspects of the disease, such as Aβ-aggregation, they are also prone to overexpression artifacts and to complex phenotypical alterations, due to genes affected in or close to the insertion site(s) of the mini-genes (Sasaguri et al., EMBO J 36:2473-87, 2017; Goodwin et al., Genome Res 29:494-505, 2019). Knock-in strategies which introduce clinical mutants in a humanized endogenous rodent APP sequence (Saito et al., Nat Neurosci 17:661-3, 2014) represent useful improvements, but need to be compared with appropriate humanized wildtype (WT) mice.
METHODS
Computational modelling of the human β-CTF bound to BACE1 was used to study the differential processing of rodent and human APP. We humanized the three pivotal residues we identified G676R, F681Y and R684H (labeled according to the human APP770 isoform) in the mouse and rat genomes using a CRISPR-Cas9 approach. These new models, termed mouse and rat App
RESULTS
We show that introducing these three amino acid substitutions into the rodent sequence lowers the affinity of the APP substrate for BACE1 cleavage. The effect on β-secretase processing was confirmed as both humanized rodent models produce three times more (human) Aβ compared to the original WT strain. These models represent suitable controls, or starting points, for studying the effect of transgenes or knock-in mutations on APP processing (Saito et al., Nat Neurosci 17:661-3, 2014). We introduced the early-onset familial Alzheimer's disease (FAD) mutation M139T into the endogenous Rat Psen1 gene and provide an initial characterization of Aβ processing in this novel rat AD model.
CONCLUSION
The different humanized APP models (rat and mouse) expressing human Aβ and PSEN1 M139T are valuable controls to study APP processing in vivo allowing the use of a human Aβ ELISA which is more sensitive than the equivalent system for rodents. These animals will be made available to the research community.

Identifiants

pubmed: 33076948
doi: 10.1186/s13024-020-00399-z
pii: 10.1186/s13024-020-00399-z
pmc: PMC7574558
doi:

Substances chimiques

APP protein, human 0
Amyloid beta-Peptides 0
Amyloid beta-Protein Precursor 0
PSEN1 protein, human 0
Presenilin-1 0
Amyloid Precursor Protein Secretases EC 3.4.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

60

Subventions

Organisme : Medical Research Council
Pays : United Kingdom

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Auteurs

Lutgarde Serneels (L)

Centre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium.
Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium.

Dries T'Syen (D)

Centre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium.
Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium.

Laura Perez-Benito (L)

Computational Chemistry, Janssen Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium.

Tom Theys (T)

Department of Neurosciences, Research Group Experimental Neurosurgery and Neuroanatomy, KU Leuven, Leuven, Belgium.

Matthew G Holt (MG)

Centre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium.
Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium.

Bart De Strooper (B)

Centre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium. bart.destrooper@kuleuven.vib.be.
Department of Neurosciences and Leuven Brain Institute, KU Leuven, Leuven, Belgium. bart.destrooper@kuleuven.vib.be.
UK Dementia Research Institute at UCL, University College London, London, UK. bart.destrooper@kuleuven.vib.be.

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Classifications MeSH