Evidence map›Paper›PMID 33076948›Full record

ArticleMolecular neurodegeneration2020

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

Lutgarde Serneels, Dries T'Syen, Laura Perez-Benito, Tom Theys, Matthew G Holt, Bart De Strooper

Open access · goldAbstract read
In one paragraph

Article in Molecular neurodegeneration, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 80 citations in OpenAlex.

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  6. Experimental modeling of Alzheimer's disease: Translational lessons from cross-taxon analyses.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  11. The curious case of a heterozygous loss-of-functionMolecular neurodegeneration advances · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Lutgarde SerneelsCentre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium.
Dries T'SyenCentre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium.
Laura Perez-BenitoComputational Chemistry, Janssen Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium.
Tom TheysDepartment of Neurosciences, Research Group Experimental Neurosurgery and Neuroanatomy, KU Leuven, Leuven, Belgium.
Matthew G HoltCentre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium.
Bart De StrooperCentre for Brain and Disease Research, Flanders Institute for Biotechnology (VIB), Leuven, Belgium. bart.destrooper@kuleuven.vib.be.ORCID 0000-0001-5455-5819
Vlaams Instituut voor Biotechnologie · BEAllen Institute for Brain Science · USJanssen (Belgium) · BEKU Leuven · BE

Funding

Medical Research Council
6 · The paper itself

Abstract

backgroundThree 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.

methodsComputational 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

resultsWe 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.

conclusionThe 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.

Indexed as

Alzheimer DiseaseAmyloid beta-Protein PrecursorComputer SimulationDisease Models, AnimalAmyloid beta-PeptidesAmyloid Precursor Protein SecretasesAnimalsHumansMicePresenilin-1RatsAmyloid beta-PeptidesAmyloid beta-Protein PrecursorAmyloid Precursor Protein SecretasesAPP protein, humanPresenilin-1PSEN1 protein, humanAlzheimer’s diseaseAmyloid-beta precursor proteinKnock-inPresenilinRodent animal models

Identifiers

PMID33076948
PMCPMC7574558
OpenAlexW3093175098

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.