Evidence map›Paper›PMID 40313153›Full record

ReviewJournal of microbiology (Seoul, Korea)2025

Small regulatory RNAs as key modulators of antibiotic resistance in pathogenic bacteria.

Yubin Yang, Hana Hyeon, Minju Joo, Kangseok Lee, Eunkyoung Shin

Abstract readReview
In one paragraph

Review in Journal of microbiology (Seoul, Korea), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Yubin YangDepartment of Life Science, Chung-Ang University, Seoul 06974, Republic of Korea.
Hana HyeonDepartment of Life Science, Chung-Ang University, Seoul 06974, Republic of Korea.
Minju JooDepartment of Life Science, Chung-Ang University, Seoul 06974, Republic of Korea.
Kangseok LeeDepartment of Life Science, Chung-Ang University, Seoul 06974, Republic of Korea.
Eunkyoung ShinDepartment of Microbiology, Catholic University of Daegu School of Medicine, Daegu 42472, Republic of Korea.

Funding

Chung-Ang University Research ScholarshipMinistry of Science and ICT 2021R1A2C3008934Ministry of Science and ICT RS-2024-00353152National Research Foundation of Korea
6 · The paper itself

Abstract

The escalating antibiotic resistance crisis poses a significant challenge to global public health, threatening the efficacy of current treatments and driving the emergence of multidrug-resistant pathogens. Among the various factors associated with bacterial antibiotic resistance, small regulatory RNAs (sRNAs) have emerged as pivotal post-transcriptional regulators which orchestrate bacterial adaptation to antibiotic pressure via diverse mechanisms. This review consolidates the current knowledge on sRNA-mediated mechanisms, focusing on drug uptake, drug efflux systems, lipopolysaccharides, cell wall modification, biofilm formation, and mutagenesis. Recent advances in transcriptomics and functional analyses have revealed novel sRNAs and their regulatory networks, expanding our understanding of resistance mechanisms. These findings highlight the potential of targeting sRNA-mediated pathways as an innovative therapeutic strategy to combat antibiotic resistance, and offer promising avenues for managing challenging bacterial infections.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialRNA, BacterialRNA, Small UntranslatedBacterial InfectionsBiofilmsGene Expression Regulation, BacterialHumansAnti-Bacterial AgentsRNA, BacterialRNA, Small Untranslatedantibiotic resistancepathogenic bacteriapost-transcriptional regulationsmall regulatory RNAs

Identifiers

PMID40313153
PMCPMC13577135

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.