Evidence map›Paper›PMID 42451761›Full record

ReviewMolecules (Basel, Switzerland)2026

Next-Generation Strategies to Encounter Antimicrobial Resistance (AMR): From Lariocidin to Gene Editing and Nanotechnology-Based Approaches.

Ilknur Yilmaz, Bekir Mustafa Yoğurtçu, Samson Aisida, Enes Baki Ezer

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2026. 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

4 authors.

Ilknur YilmazDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, İstanbul Atlas University, Istanbul 34408, Turkey.ORCID 0000-0002-5250-3633
Bekir Mustafa YoğurtçuDepartment of Molecular Biology and Genetics, Graduate School of Science & Engineering, Yildiz Technical University, Istanbul 34220, Turkey.ORCID 0000-0002-6752-9246
Samson AisidaDepartment of Physics and Astronomy, University of Nigeria, Nsukka 410001, Nigeria.ORCID 0000-0003-1301-2302
Enes Baki EzerGraduate School of Science and Technology, Niigata University, Nishi-ku, Niigata 950-2181, Japan.ORCID 0000-0003-1891-8795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The escalation of antimicrobial resistance (AMR) represents a serious global threat to public health, with AMR-associated mortality estimated to increase by 70% by 2050. As pathogens evolve through enzymatic inactivation, target modification, efflux-mediated clearance, biofilm formation, and broader genetic adaptation, conventional therapies are increasingly compromised, while the antibiotic development pipeline remains critically constrained by high discovery and development costs, weak commercial incentives, and the escalating complexity of resistance mechanisms. This review comprehensively synthesizes advanced pharmacological and biotechnological innovations designed to circumvent these entrenched resistance mechanisms. We highlight the development of novel therapeutic classes, particularly lariocidin, which disrupts bacterial protein synthesis via a previously unexploited ribosomal-binding site. Moreover, we critically evaluate molecular interventions, emphasizing CRISPR/Cas-based gene silencing and genome editing as precise tools to neutralize specific resistance determinants, such as the

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialGene EditingNanotechnologyBiofilmsCRISPR-Cas SystemsHumansNanoparticlesAnti-Bacterial AgentsAMRCRISPR-Cas systemslariocidinnano delivery systemnovel antibiotics

Identifiers

PMID42451761
PMCPMC13362627

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.