Evidence map›Paper›PMID 33126501›Full record

ReviewInternational journal of molecular sciences2020

Protein Homeostasis Networks and the Use of Yeast to Guide Interventions in Alzheimer's Disease.

Sudip Dhakal, Ian Macreadie

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Review
  3. Collagen IV biosynthesis: Intracellular choreography of post-translational modifications.Matrix biology : journal of the International Society for Matrix Biology · 2025
    Review
  4. Review
  5. International journal of molecular sciences · 2023
    Review
  6. Alzheimer's Disease: Significant Benefit from the Yeast-Based Models.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Article
  9. Implications of Microorganisms in Alzheimer's Disease.Current issues in molecular biology · 2022
    Review
  10. The Use of Yeast in Biosensing.Microorganisms · 2022
    Review
  11. The HMGB ProteinBiomolecules · 2021
    Article
  12. International journal of molecular sciences · 2021
    Article
  13. A Toxic Synergy between Aluminium and Amyloid Beta in Yeast.International journal of molecular sciences · 2021
    Article
  14. Review
  15. Review
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

2 authors at 1 institution in 1 country.

Sudip DhakalSchool of Science, RMIT University, Bundoora, Victoria 3083, Australia.ORCID 0000-0002-5885-4653
Ian MacreadieSchool of Science, RMIT University, Bundoora, Victoria 3083, Australia.ORCID 0000-0001-5335-7220
RMIT University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's Disease (AD) is a progressive multifactorial age-related neurodegenerative disorder that causes the majority of deaths due to dementia in the elderly. Although various risk factors have been found to be associated with AD progression, the cause of the disease is still unresolved. The loss of proteostasis is one of the major causes of AD: it is evident by aggregation of misfolded proteins, lipid homeostasis disruption, accumulation of autophagic vesicles, and oxidative damage during the disease progression. Different models have been developed to study AD, one of which is a yeast model. Yeasts are simple unicellular eukaryotic cells that have provided great insights into human cell biology. Various yeast models, including unmodified and genetically modified yeasts, have been established for studying AD and have provided significant amount of information on AD pathology and potential interventions. The conservation of various human biological processes, including signal transduction, energy metabolism, protein homeostasis, stress responses, oxidative phosphorylation, vesicle trafficking, apoptosis, endocytosis, and ageing, renders yeast a fascinating, powerful model for AD. In addition, the easy manipulation of the yeast genome and availability of methods to evaluate yeast cells rapidly in high throughput technological platforms strengthen the rationale of using yeast as a model. This review focuses on the description of the proteostasis network in yeast and its comparison with the human proteostasis network. It further elaborates on the AD-associated proteostasis failure and applications of the yeast proteostasis network to understand AD pathology and its potential to guide interventions against AD.

Indexed as

HomeostasisProteostasisAlzheimer DiseaseAnimalsDisease ProgressionHumansProteasome Endopeptidase ComplexSaccharomyces cerevisiaeSignal TransductionProteasome Endopeptidase ComplexAlzheimer’ diseaseautophagyproteostasisubiquitin proteasome systemunfolded protein responseyeast

Identifiers

PMID33126501
PMCPMC7662794
OpenAlexW3096564080

What Socratic 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 Socratic graph.