Evidence map›Paper›PMID 40296445›Full record

ArticleCPT: pharmacometrics & systems pharmacology2025

Interactions of Therapeutic Antibodies With Presynaptically-Released Misfolded Proteins in Neurodegenerative Diseases. A Spatial Monte-Carlo Simulation Study.

Jamie Goff, Maryam Khalifa, Shaina M Short, Piet H van der Graaf, Hugo Geerts

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jamie GoffCertara Predictive Technologies, Sheffield, UK.
Maryam KhalifaCertara Predictive Technologies, Sheffield, UK.
Shaina M ShortCertara Predictive Technologies, Radnor, Pennsylvania, USA.
Piet H van der GraafCertara Predictive Technologies, Canterbury, UK.ORCID https://orcid.org/0000-0003-1314-3484
Hugo GeertsCertara Predictive Technologies, Radnor, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-9736-1800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial progression hypothesis of misfolded tau and alpha-synuclein proteins in Alzheimer's and Parkinson's Disease proposes the release of proteins from a presynaptic membrane followed by diffusion over the synaptic cleft and uptake by the postsynaptic membrane in the afferent neuron. A number of antibodies aiming to reduce this neuronal uptake by capturing these proteins in the extracellular space are currently in clinical development, so far without much success. For modeling the interaction between antibodies and misfolded proteins in the extremely small synaptic volume with only a few proteins navigating a crowded environment of transsynaptic proteins, traditional assumptions of ordinary differential equations (ODEs) break down. Here we use spatial Monte Carlo calculations of individual molecule trajectories in a realistic geometrical environment using the open-source software Mcell (mcell.org). For several different densities of transsynaptic proteins, we show that due to geometric constraints, less than 0.5% of the antibody in the brain interstitial fluid (ISF) can enter the crowded synaptic cleft. As a consequence, uptake of the seed-competent proteins is reduced by less than 10%, even at the highest concentration and for selective antibodies. Only the seed-competent protein that escapes the synaptic cleft (between 15% and 30%) is captured by the antibody. Given the extremely low penetrance of the antibodies, it is close to impossible for antibodies to interfere with the uptake mechanism that takes place in the synaptic cleft. These simulations using a detailed and realistic biological environment provide a possible explanation for the clinical trial failures of anti-tau and anti-αsynuclein antibodies.

Indexed as

AntibodiesNeurodegenerative Diseasesalpha-SynucleinComputer SimulationHumansMonte Carlo MethodProtein Foldingtau Proteinsalpha-SynucleinAntibodiestau ProteinsAlzheimer's diseaseantibody‐target interactionneuronal synapsespatial trajectories

Identifiers

PMID40296445
PMCPMC12256572

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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.