Evidence map›Paper›PMID 37496252›Full record

ArticleCurrent topics in medicinal chemistry2024

Effect of Withaferin-A, Withanone, and Caffeic Acid Phenethyl Ester on DNA Methyltransferases: Potential in Epigenetic Cancer Therapy.

Vipul Kumar, Jaspreet Kaur Dhanjal, Anissa Nofita Sari, Mallika Khurana, Sunil C Kaul, Renu Wadhwa, Durai Sundar

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Article in Current topics in medicinal chemistry, 2024. 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
1.2field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

7 authors at 3 institutions in 2 countries.

Vipul KumarDepartment of Biochemical Engineering and Biotechnology, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, 110016, India.
Jaspreet Kaur DhanjalDepartment of Computational Biology, Indraprastha Institute of Information Technology Delhi, Okhla Industrial Estate, Phase III, New Delhi, 110020, India.
Anissa Nofita SariDepartment of Cellular and Molecular Biotechnology, National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, 3058565, Japan.
Mallika KhuranaDepartment of Cellular and Molecular Biotechnology, National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, 3058565, Japan.
Sunil C KaulDepartment of Cellular and Molecular Biotechnology, National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, 3058565, Japan.
Renu WadhwaDepartment of Cellular and Molecular Biotechnology, National Institute of Advanced Industrial Science & Technology (AIST), Tsukuba, 3058565, Japan.
Durai SundarDepartment of Biochemical Engineering and Biotechnology, Indian Institute of Technology (IIT) Delhi, Hauz Khas, New Delhi, 110016, India.
National Institute of Advanced Industrial Science and Technology · JPIndian Institute of Technology Delhi · INIndraprastha Institute of Information Technology Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methyltransferases (DNMTs) have been reported to be potential drug targets in various cancers. The major hurdle in inhibiting DNMTs is the lack of knowledge about different DNMTs and their role in the hypermethylation of gene promoters in cancer cells. Lack of information on specificity, stability, and higher toxicity of previously reported DNMT inhibitors is the major reason for inadequate epigenetic cancer therapy. DNMT1 and DNMT3A are the two DNMTs that are majorly overexpressed in cancers.

objectiveIn this study, we have presented computational and experimental analyses of the potential of some natural compounds, withaferin A (Wi-A), withanone (Wi-N), and caffeic acid phenethyl ester (CAPE), as DNMT inhibitors, in comparison to sinefungin (SFG), a known dual inhibitor of DNMT1 and DNMT3A.

methodsWe used classical simulation methods, such as molecular docking and molecular dynamics simulations, to investigate the binding potential and properties of the test compounds with DNMT1 and DNMT3A. Cell culture-based assays were used to investigate the inactivation of DNMTs and the resulting hypomethylation of the p16

resultsAmong the three test compounds (Wi-A, Wi-N, and CAPE), Wi-A showed the highest binding affinity to both DNMT1 and DNMT3A; CAPE showed the highest affinity to DNMT3A, and Wi-N showed a moderate affinity interaction with both. The binding energies of Wi-A and CAPE were further compared with SFG. Expression analysis of DNMTs showed no difference between control and treated cells. Cell viability and p16

conclusionThe study demonstrated the differential binding ability of Wi-A, Wi-N, and CAPE to DNMT1 and DNMT3A, which was associated with their inactivation, leading to hypomethylation and desilencing of the p16

Indexed as

Antineoplastic AgentsCaffeic AcidsDNA (Cytosine-5-)-Methyltransferase 1Epigenesis, GeneticPhenylethyl AlcoholWithanolidesCell ProliferationDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADose-Response Relationship, DrugDrug Screening Assays, AntitumorEnzyme InhibitorsHumansMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructureAntineoplastic AgentsCaffeic AcidsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3AEnzyme InhibitorsPhenylethyl AlcoholWithanolidesCaffeic acid phenethyl esterCancerDNMTMethyltransferaseTherapy.Withaferin-AWithanone

Identifiers

PMID37496252
OpenAlexW4385295510

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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.