Evidence map›Paper›PMID 29408874›Full record

ArticlePloS one2018

A mathematical model of multisite phosphorylation of tau protein.

Alexander Stepanov, Tatiana Karelina, Nikolai Markevich, Oleg Demin, Timothy Nicholas

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Review
  3. Network regulation meets substrate modification chemistry.Journal of the Royal Society, Interface · 2023
    Article
  4. Review
  5. Hallmarks of neurodegenerative disease: A systems pharmacology perspective.CPT: pharmacometrics & systems pharmacology · 2022
    Review
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  7. Review
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  12. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Alexander StepanovInSysBio, Moscow, Russia.ORCID 0000-0002-9113-9440
Tatiana KarelinaInSysBio, Moscow, Russia.
Nikolai MarkevichInSysBio, Moscow, Russia.
Oleg DeminInSysBio, Moscow, Russia.
Timothy NicholasPfizer Global R&D, Groton, Connecticut, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal tau metabolism followed by formation of tau deposits causes a number of neurodegenerative diseases called tauopathies including Alzheimer's disease. Hyperphosphorylation of tau protein precedes tau aggregation and is a topic of interest for the development of pharmacological interventions to prevent pathology progression at early stages. The development of a mathematical model of multisite phosphorylation of tau would be helpful for searching for the targets of pharmacological interventions and candidates for biomarkers of pathology progression. In the present study, we for the first time developed a model of multisite phosphorylation of tau protein and elucidated the relative contribution of kinases to phosphorylation of distinct sites. The model describes phosphorylation of tau or PKA-prephosphorylated tau by GSK3β and CDK5 and dephosphorylation by PP2A, accurately reproducing the data for short-term kinetics of tau (de)phosphorylation. Our results suggest that kinase inhibition may more specifically prevent tau hyperphosphorylation, e.g., on PHF sites, which are key biomarkers of pathological changes in Alzheimer's disease. The main features of our model are partial phosphorylation of tau residues and merging of random and sequential mechanisms of multisite phosphorylation within the framework of the probability-based approach assuming independent phosphorylation events.

Indexed as

Models, TheoreticalAlzheimer DiseaseHumansPhosphorylationProtein KinasesProtein Phosphatase 2Tauopathiestau ProteinsProtein KinasesProtein Phosphatase 2tau Proteins

Identifiers

PMID29408874
PMCPMC5800643

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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.