Evidence map›Paper›PMID 32390826›Full record

ReviewFrontiers in pharmacology2020

Modeling Parkinson's Disease With the Alpha-Synuclein Protein.

Mónica Gómez-Benito, Noelia Granado, Patricia García-Sanz, Anne Michel, Mireille Dumoulin, Rosario Moratalla

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 197 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed, 3 pooled it
–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

197 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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137 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

6 authors.

Mónica Gómez-BenitoCajal Institute, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.
Noelia GranadoCajal Institute, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.
Patricia García-SanzCajal Institute, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.
Anne MichelUCB Biopharma, Neuroscience TA, Braine L'Alleud, Belgium.
Mireille DumoulinCentre of Protein Engineering, InBios, University of Liege, Liège, Belgium.
Rosario MoratallaCajal Institute, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alpha-synuclein (α-Syn) is a key protein involved in Parkinson's disease (PD) pathology. PD is characterized by the loss of dopaminergic neuronal cells in the substantia nigra pars compacta and the abnormal accumulation and aggregation of α-Syn in the form of Lewy bodies and Lewy neurites. More precisely, the aggregation of α-Syn is associated with the dysfunctionality and degeneration of neurons in PD. Moreover, mutations in the SIGNIFICANCE: Here, we show that injection of α-Syn PFFs and overexpression of α-Syn mediated by rAAV lead to a different pattern of PD pathology in rodents. First, α-Syn PFFs models trigger the Lewy body-like inclusions formation in brain regions directly interconnected with the injection site, suggesting that there is an inter-neuronal transmission of the α-Syn pathology. In contrast, rAAV-mediated α-Syn overexpression in the brain limits the α-Syn aggregates within the transduced neurons. Second, phosphorylated α-Syn inclusions obtained with rAAV are predominantly nuclear with a punctate appearance that becomes diffuse along the neuronal fibers, whereas α-Syn PFFs models lead to the formation of cytoplasmic aggregates of phosphorylated α-Syn reminiscent of Lewy bodies and Lewy neurites.

Indexed as

Braak hypothesisLewy body pathologyprion-like propagationα-Syn aggregationα-Syn AVV-viral particlesα-Syn pre-formed fibrils

Identifiers

PMID32390826
PMCPMC7191035

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Registered trials

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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.