Evidence map›Paper›PMID 40779063›Full record

ArticleJournal of mathematical biology2025

Optimal control of monomers and oligomers degradation in an Alzheimer's disease model.

Iulia Martina Bulai, Francesco Ferraresso, Francesca Gladiali

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Iulia Martina BulaiDepartment of Chemical, Physical, Mathematical and Natural Sciences, Via Vienna 2, 07100, Sassari, Italy. iuliamartina.bulai@unito.it.ORCID http://orcid.org/0000-0002-9570-8532
Francesco FerraressoDepartment of Computer Science, Strada Le Grazie 15, Ca' Vignal 2, 37134, Verona, Italy.
Francesca GladialiDepartment of Chemical, Physical, Mathematical and Natural Sciences, Via Vienna 2, 07100, Sassari, Italy.

Funding

Italian Ministry for Research and Education 20227TRY8HItalian Ministry for Research and Education ECS 00000038Università degli Studi di Sassari EU-CUP-J55F21004240001
6 · The paper itself

Abstract

The aggregation and accumulation of oligomers of misfolded Aβ-amyloids in the human brain is one of the possible causes for the onset of the Alzheimer’s disease in the early stage. We introduce and study a new ODE model for the evolution of Alzheimer’s disease based on the interaction between monomers, proto-oligomers, and oligomers of Aβ amyloid protein in a small portion of the human brain, based upon biochemical processes such as polymerization, depolymerization, fragmentation and concatenation. We further introduce the possibility of controlling the evolution of the system via a treatment that targets the monomers and/or the oligomers. We observe that a combined optimal treatment on both monomers and oligomers induces a substantial decrease of the oligomer concentration at the final stage. A single treatment on oligomers performs better than a single treatment on monomers. These results shed a light on the effectiveness of immunotherapy using anti-Aβ antibodies, targeting monomers or oligomers. Several numerical simulations show how the oligomer concentration evolves without treatment, with single monomer/oligomer treatment, or with a combined treatment.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesModels, BiologicalModels, NeurologicalBrainComputer SimulationHumansImmunotherapyMathematical ConceptsAmyloid beta-PeptidesAlzheimer diseaseMonomer degradationODEsOligomer degradationOptimal control

Identifiers

PMID40779063
PMCPMC12334554

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.