Evidence map›Paper›PMID 40718437›Full record

ArticleIranian journal of pharmaceutical research : IJPR

In Vivo and Bioinformatics Evaluation of Nine Traditional Chinese Medicine Compounds Targeting Acetylcholinesterase and Butyrylcholinesterase Enzymes in Alzheimer's Disease.

Xinyu Yang

Abstract read
In one paragraph

Article in Iranian journal of pharmaceutical research : IJPR. 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. Article
  2. 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

1 author.

Xinyu YangSchool of Public Health, Inner Mongolia Minzu University, Tongliao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alzheimer's disease (AD) is characterized by cholinergic dysfunction and oxidative stress, creating a need for the development of new therapeutic agents. Traditional Chinese medicine (TCM) compounds, such as hainanolidol and norwogonin, have shown potential neuroprotective activity. Objectives: This study investigates the inhibitory action of these compounds on cholinesterase enzymes and their possible therapeutic application in an AD-like rat model generated by lead acetate (PbAc), a well-known neurotoxicant that mimics AD-associated oxidative damage and cognitive decline. Methods: The cholinesterase inhibitory activity of nine TCM compounds was assessed in vitro against acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE), with donepezil and tacrine as controls. Hainanolidol and norwogonin, identified as the most potent inhibitors, were further evaluated in a PbAc-induced AD rat model to assess their neuroprotective effects. Oxidative stress biomarkers malondialdehyde (MDA), glutathione (GSH), cholinesterase activity, and in silico molecular interactions were analyzed, including docking studies, molecular dynamics (MD) simulations, and ADME-toxicity profiling. Results: Hainanolidol and norwogonin showed strong nanomolar-range inhibition of both AChE and BuChE, with considerable IC Conclusions: This study concludes that both hainanolidol and norwogonin are worthy of being regarded as dual cholinesterase inhibitors with antioxidant properties, which may serve as alternative therapeutics for AD. The use of PbAc as an AD model underscores the role of environmental neurotoxins in disease pathogenesis, offering insights into novel intervention strategies. Advanced preclinical and clinical studies are needed for further validation.

Indexed as

AcetylcholinesteraseAlzheimer’s DiseaseButyrylcholinesteraseHainanolidolMolecular DockingNorwogoninOxidative StressPharmacokineticsTraditional Chinese Medicine

Identifiers

PMID40718437
PMCPMC12296705

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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.