Evidence map›Paper›PMID 34280181›Full record

ArticlePLoS computational biology2021

From reaction kinetics to dementia: A simple dimer model of Alzheimer's disease etiology.

Michael R Lindstrom, Manuel B Chavez, Elijah A Gross-Sable, Eric Y Hayden, David B Teplow

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

5 authors at 1 institution in 1 country.

Michael R LindstromDepartment of Mathematics, University of California, Los Angeles, California, United States of America.ORCID 0000-0002-2841-1691
Manuel B ChavezDepartment of Mathematics, University of California, Los Angeles, California, United States of America.
Elijah A Gross-SableDepartment of Mathematics, University of California, Los Angeles, California, United States of America.
Eric Y HaydenDepartment of Neurology, David Geffen School of Medicine at the University of California, Los Angeles, California, United States of America.ORCID 0000-0001-6977-5056
David B TeplowDepartment of Neurology, David Geffen School of Medicine at the University of California, Los Angeles, California, United States of America.ORCID 0000-0002-2389-3417
University of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oligomers of the amyloid β-protein (Aβ) have been implicated in the pathogenesis of Alzheimer's disease (AD) through their toxicity towards neurons. Understanding the process of oligomerization may contribute to the development of therapeutic agents, but this has been difficult due to the complexity of oligomerization and the metastability of the oligomers thus formed. To understand the kinetics of oligomer formation, and how that relates to the progression of AD, we developed models of the oligomerization process. Here, we use experimental data from cell viability assays and proxies for rate constants involved in monomer-dimer-trimer kinetics to develop a simple mathematical model linking Aβ assembly to oligomer-induced neuronal degeneration. This model recapitulates the rapid growth of disease incidence with age. It does so through incorporation of age-dependent changes in rates of Aβ monomer production and elimination. The model also describes clinical progression in genetic forms of AD (e.g., Down's syndrome), changes in hippocampal volume, AD risk after traumatic brain injury, and spatial spreading of the disease due to foci in which Aβ production is elevated. Continued incorporation of clinical and basic science data into the current model will make it an increasingly relevant model system for doing theoretical calculations that are not feasible in biological systems. In addition, terms in the model that have particularly large effects are likely to be especially useful therapeutic targets.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesModels, BiologicalAgedBrain Injuries, TraumaticComputational BiologyDementiaFemaleHippocampusHumansKineticsMaleMiddle AgedModels, StatisticalNeuronsProtein MultimerizationAmyloid beta-Peptides

Identifiers

PMID34280181
PMCPMC8321409
OpenAlexW3185134526

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.