Evidence map›Paper›PMID 35013904›Full record

SynthesisNeurotoxicity research2022

Neuroprotective Effects of Resveratrol in In vivo and In vitro Experimental Models of Parkinson's Disease: a Systematic Review.

Michele Goulart Dos Santos, Lucia Emanueli Schimith, Corinne André-Miral, Ana Luiza Muccillo-Baisch, Bruno Dutra Arbo, Mariana Appel Hort

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurotoxicity research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
7.4field-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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Adenosine APharmaceuticals (Basel, Switzerland) · 2026
    Article
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  8. Article
  9. Review
  10. Article
  11. Article
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  13. Review
  14. The microbiota-gut-brain axis: a potential target in the small-molecule compounds and gene therapeutic strategies for Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  15. Review
  16. Interaction between resveratrol and SIRT1: role in neurodegenerative diseases.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  17. Article
  18. Article
  19. Review
  20. 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

6 authors at 2 institutions in 2 countries.

Michele Goulart Dos SantosPrograma de Pós-Graduação em Ciências Fisiológicas, Instituto de Ciências Biológicas, Universidade Federal do Rio Grande-FURG, Rio Grande, RS, Brazil.
Lucia Emanueli SchimithPrograma de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina, Universidade Federal do Rio Grande-FURG, Rio Grande, RS, Brazil.
Corinne André-MiralUnité de Fonctionnalité Et Ingénierie Des Protéines (UFIP), UMR 6286, Université de Nantes, CNRS, Nantes, France.
Ana Luiza Muccillo-BaischPrograma de Pós-Graduação em Ciências da Saúde, Faculdade de Medicina, Universidade Federal do Rio Grande-FURG, Rio Grande, RS, Brazil.
Bruno Dutra ArboPrograma de Pós-Graduação em Ciências Fisiológicas, Instituto de Ciências Biológicas, Universidade Federal do Rio Grande-FURG, Rio Grande, RS, Brazil.
Mariana Appel HortPrograma de Pós-Graduação em Ciências Fisiológicas, Instituto de Ciências Biológicas, Universidade Federal do Rio Grande-FURG, Rio Grande, RS, Brazil. marianaappel@gmail.com.ORCID http://orcid.org/0000-0001-5877-3506
Universidade Federal do Rio Grande · BRCentre National de la Recherche Scientifique · FR

Funding

conselho nacional de desenvolvimento científico e tecnológico 423028/2018-9coordenação de aperfeiçoamento de pessoal de nível superior 001
6 · The paper itself

Abstract

Parkinson's disease (PD) is currently the second most common neurodegenerative disease, being characterized by motor and non-motor symptoms. The therapeutic options available for its treatment are limited, do not slow the progression of the disease, and have serious side effects. For this reason, many studies have sought to find compounds with neuroprotective properties that bring additional benefits to current therapy. In this context, resveratrol is a phenolic compound, found in many plant species, capable of crossing the blood-brain barrier and having multiple biological properties. Experimental studies in vitro and in vivo have shown that it can prevent or slow the progression of a variety of diseases, including PD. In this systematic review, we summarize the effects of resveratrol in experimental in vivo and in vitro models of PD and discuss the molecular mechanisms involved in its action. The bibliographic search was performed in the databases of PubMed, Web of Science, SciELO, and Google Scholar, and based on the inclusion criteria, 41 articles were selected and discussed. Most of the included studies have demonstrated neuroprotective effects of resveratrol. In general, resveratrol prevented behavioral and/or neurological disorders, improved antioxidant defenses, reduced neuroinflammatory processes, and inhibited apoptosis. In summary, this systematic review offers important scientific evidence of neuroprotective effects of resveratrol in PD and also provide valuable information about its mechanism of action that can support future clinical studies.

Indexed as

Neurodegenerative DiseasesNeuroprotective AgentsParkinson DiseaseHumansModels, TheoreticalResveratrolNeuroprotective AgentsResveratrolAnti-apoptoticAnti-inflammatoryAntioxidantNeurodegenerationNeuroprotectionResveratrol

Identifiers

PMID35013904
OpenAlexW4205211941

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.