Evidence map›Paper›PMID 39950477›Full record

ReviewCurrent molecular medicine2026

Epigenetic Mechanisms of Antibiotic Resistance.

Polina O Novozhilova, Olga V Bakina, Liudmila V Spirina, Natalya V Tarasenko

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Polina O NovozhilovaSiberian State Medical University of the Ministry of Health of Russian Fedration, 2, Moskovsky trakt, Tomsk, 634050, Russia.
Olga V BakinaSiberian State Medical University of the Ministry of Health of Russian Fedration, 2, Moskovsky trakt, Tomsk, 634050, Russia.
Liudmila V SpirinaSiberian State Medical University of the Ministry of Health of Russian Fedration, 2, Moskovsky trakt, Tomsk, 634050, Russia.
Natalya V TarasenkoSiberian State Medical University of the Ministry of Health of Russian Fedration, 2, Moskovsky trakt, Tomsk, 634050, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance remains a major challenge in the use of antimicrobial agents and poses a threat to public health worldwide. This review discusses the epigenetic mechanisms underlying antibiotic resistance. Significant attention is also given to gene expression patterns that promote microbial adaptability and survival in the context of antibiotic therapy, as well as epigenetic mechanisms that contribute to modifying the activity of resistance genes. The authors argue that epigenetics plays a key role in the development and spread of antibiotic resistance. By offering new perspectives on the complex interaction between genetic and epigenetic regulations in microbial populations using metal nanoparticles, the authors shed light on potential therapeutic targets and strategies to combat antibiotic resistance. Exploring the disclosure of epigenetic mechanisms when interacting with metal nanoparticles on resistant cultures is insufficiently covered in the literature. This review not only presents the latest scientific findings in this field but also opens up avenues for further research that will help address the growing problem of antibiotic resistance.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialDrug Resistance, MicrobialEpigenesis, GeneticAnimalsHumansMetal NanoparticlesAnti-Bacterial AgentsDrug resistanceepigenetic mechanismsgene expressionmetal nanoparticlesmicrobial nanoparticlesmicroRNAs

Identifiers

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.