Evidence map›Paper›PMID 31375560›Full record

ArticleThe Journal of biological chemistry2019

Autophagy activation promotes clearance of α-synuclein inclusions in fibril-seeded human neural cells.

Jianqun Gao, Gayathri Perera, Megha Bhadbhade, Glenda M Halliday, Nicolas Dzamko

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 116 citations in OpenAlex.

  1. Trial
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  7. The α-synuclein proteostasis network and its translational applications in Parkinson's disease.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Review
  9. Review
  10. Treatment ofFrontiers in toxicology · 2026
    Article
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  16. Canonical and noncanonical autophagy: involvement in Parkinson's disease.Frontiers in cell and developmental biology · 2025
    Review
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  18. Review
  19. Review
  20. Article

8 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Jianqun GaoForeFront Dementia and Movement Disorders Laboratory, Brain and Mind Centre, Central Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales 2050, Australia.
Gayathri PereraForeFront Dementia and Movement Disorders Laboratory, Brain and Mind Centre, Central Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales 2050, Australia.
Megha BhadbhadeSchool of Medical Sciences, Faculty of Medicine, University of New South Wales, Kensington, New South Wales 2033, Australia.
Glenda M HallidayForeFront Dementia and Movement Disorders Laboratory, Brain and Mind Centre, Central Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales 2050, Australia.ORCID 0000-0003-0422-8398
Nicolas DzamkoForeFront Dementia and Movement Disorders Laboratory, Brain and Mind Centre, Central Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales 2050, Australia nicolas.dzamko@sydney.edu.au.ORCID 0000-0002-9121-0294
The University of Sydney · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is much interest in delineating the mechanisms by which the α-synuclein protein accumulates in brains of individuals with Parkinson's disease (PD). Preclinical studies with rodent and primate models have indicated that fibrillar forms of α-synuclein can initiate the propagation of endogenous α-synuclein pathology. However, the underlying mechanisms by which α-synuclein fibrils seed pathology remain unclear. To investigate this further, we have used exogenous fibrillar α-synuclein to seed endogenous α-synuclein pathology in human neuronal cell lines, including primary human neurons differentiated from induced pluripotent stem cells. Fluorescence microscopy and immunoblot analyses were used to monitor levels of α-synuclein and key autophagy/lysosomal proteins over time in the exogenous α-synuclein fibril-treated neurons. We observed that temporal changes in the accumulation of cytoplasmic α-synuclein inclusions were associated with changes in the key autophagy/lysosomal markers. Of note, chloroquine-mediated blockade of autophagy increased accumulation of α-synuclein inclusions, and rapamycin-induced activation of autophagy, or use of 5'-AMP-activated protein kinase (AMPK) agonists, promoted the clearance of fibril-mediated α-synuclein pathology. These results suggest a key role for autophagy in clearing fibrillar α-synuclein pathologies in human neuronal cells. We propose that our findings may help inform the development of human neural cell models for screening of potential therapeutic compounds for PD or for providing insight into the mechanisms of α-synuclein propagation. Our results further add to existing evidence that AMPK activation may be a therapeutic option for managing PD.

Indexed as

Autophagyalpha-SynucleinAMP-Activated Protein Kinase KinasesCell Line, TumorCells, CulturedHumansLewy BodiesNeural Stem CellsParkinson DiseaseProtein KinasesSequestosome-1 Proteinalpha-SynucleinAMP-Activated Protein Kinase KinasesProtein KinasesSequestosome-1 ProteinSQSTM1 protein, humanAMP-activated kinase (AMPK)autophagyLewy bodiesneurodegenerationneuronp62 (sequestosome 1 (SQSTM1))Parkinson diseaseprotein degradationprotein fibrilα-synuclein (α-synuclein)

Identifiers

PMID31375560
PMCPMC6768637
OpenAlexW2965362584

What OpenQuestion holds

Textmetadata
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.