Evidence map›Paper›PMID 36825704›Full record

ReviewCurrent neuropharmacology2023

Natural Products-based Drugs: Potential Drug Targets Against Neurological Degeneration.

Pooja Mittal, Rajat Goyal, Ramit Kapoor, Chunpeng Wan, Rupesh K Gautam

Abstract readReview
In one paragraph

Review in Current neuropharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pooja MittalChitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, 140401, India.
Rajat GoyalMM College of Pharmacy, Maharishi Markandeshwar (Deemed to be) University, Mullana, Ambala, India.
Ramit KapoorClarivate Analytics, Noida, India.
Chunpeng WanJiangxi Key Laboratory for Postharvest Technology and Nondestructive Testing of Fruits & Vegetables, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China.
Rupesh K GautamDepartment of Pharmacology, Indore Institute of Pharmacy, IIST Campus, Opposite IIM Indore, Rau-Pithampur Road, Indore, 453331, M.P., India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phytochemicals or natural products have been studied extensively for their potential in the treatment of neurodegenerative diseases (NDs) like Parkinson's disease, Alzheimer's disease, etc. The neuronal structure loss and progressive dysfunction are the main characteristics of these diseases. In spite of impressive and thorough knowledge of neurodegenerative molecular pathways, little advancement has been found in the treatment of the same. Moreover, it was proved that natural products can be used efficiently in the treatment of NDs while certain issues regarding the patient's safety and clinical data are still existing. As ND is a bunch of diseases and it will start the myriad of pathological processes, active targeting of the molecular pathway behind ND will be the most efficient strategy to treat all ND-related diseases. The targeting pathway must prevent cell death and should restore the damaged neurons. In the treatment of ND and related diseases, natural products are playing the role of neuroprotective agents. This review will target the therapeutic potential of various phytochemicals which shows neuroprotective action.

Indexed as

Alzheimer DiseaseBiological ProductsNeuroprotective AgentsParkinson DiseaseHumansPhytochemicalsBiological ProductsNeuroprotective AgentsPhytochemicalsAlzheimer’s diseaseNeurodegenerationneuroprotective actionParkinson’s diseasephytochemicalstargeting

Identifiers

PMID36825704
PMCPMC10227921

What OpenQuestion holds

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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.