Evidence map›Paper›PMID 38874050›Full record

ReviewMini reviews in medicinal chemistry2025

A Review of the Protective Effects of Alkaloids against Alpha-synuclein Toxicity in Parkinson's Disease.

Mahdi Khodadadi, Behjat Javadi

Abstract readReview
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In one paragraph

Review in Mini reviews in medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Mahdi KhodadadiDepartment of Traditional Pharmacy, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Behjat JavadiDepartment of Traditional Pharmacy, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-8512-3215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlpha-synuclein (α-syn) aggregation products may cause neural injury and several neurodegenerative disorders (NDs) known as α-synucleinopathies. Alkaloids are secondary metabolites present in a variety of plant species and may positively affect human health, particularly α-synucleinopathy-associated NDs.

aimTo summarize the latest scientific data on the inhibitory properties of alkaloids in α- synucleinopathies, especially in Parkinson's disease.

methodsLiterature search was performed using web-based databases including Web of Science, PubMed, and Scopus up to January 2024, in the English language.

resultsHarmala alkaloids, caffein, lycorine, piperin, acetylcorynoline, berberin, papaverine, squalamine, trodusquemine and nicotin have been found to be the most active natural alkaloids against synucleinopathy. The underlying mechanisms that contribute to this effect would be the inhibition of α-syn aggregation; elimination of formed aggregates; improvement in autophagy activation; promotion of the activity and expression of antioxidative enzymes; and prevention of oxidative injury and apoptosis in dopaminergic neurons.

conclusionThe findings of the present study highlight the inhibitory activities of alkaloids against synucleinopathy. However, no clinical data supports the reported activities in humans, which calls attention to the need for conducting clinical trials to elucidate the efficacy, safety, proper dosage, unwanted effects and pharmacokinetics aspects of alkaloids in humans.

Indexed as

Alkaloidsalpha-SynucleinNeuroprotective AgentsParkinson DiseaseAnimalsHumansAlkaloidsalpha-SynucleinNeuroprotective Agentsalkaloidsneurodegenerationnon-motor symptoms.Parkinson’s diseaseplantsSynuclein

Identifiers

PMID38874050

What OpenQuestion holds

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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.