ReviewFrontiers in microbiology2025
Molecular resistance mechanisms to newly approved antibiotics (2017-2025) in WHO priority pathogens.
Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Antibiotic Resistance and the Return to a Pre-Antibiotic Era: A Critical Narrative Review of a Global Catastrophe.Biomedicines · 2026Review
- "Lariocidin and ribosome-targeting lasso peptides as emerging antimicrobial agents against multidrug-resistant bacteria".The Journal of antibiotics · 2026Review
- Factors Determining the Antimicrobial Effectiveness of Chitosan: A Critical Analysis of the Impact of Molecular Weight and Degree of Deacetylation.Molecules (Basel, Switzerland) · 2026Review
- Multicenter Genomic Analysis of Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026Article
- Two Worlds, One Battle: How Bacteria and Malignancies Converge on Drug Resistance.International journal of molecular sciences · 2026Review
- Genes and physiological strategies in bacterial antibiotic resistance.Frontiers in microbiology · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The relentless rise of antimicrobial resistance (AMR) poses a critical threat to global public health, rendering once-effective therapies obsolete. In response, several novel antibiotics have been developed in recent years. This review systematically summarizes the molecular resistance mechanisms that World Health Organization (WHO) priority bacterial pathogens have already deployed against the 15 new antibiotics approved between 2017 and 2025, including β-lactam/β-lactamase inhibitors (cefiderocol, ceftazidime-avibactam, meropenem-vaborbactam), tetracycline derivatives (eravacycline, omadacycline), a pleuromutilin (lefamulin), an aminoglycoside (plazomicin), and a fluoroquinolone (delafloxacin). We detail how pathogens utilize four primary strategies to overcome these last-line agents: enzymatic inactivation (e.g., by KPC, NDM, OXA-48, and Tet(X) variants), efflux pump overexpression (e.g., AdeABC, AcrAB-TolC, MexAB-OprM), modifications of target sites (e.g., PBP3, RpoB, ribosomal proteins/L3, and QRDR mutations), and reduced membrane permeability. Evidence consistently demonstrates that resistance emerges rapidly, often through pre-existing genetic pathways repurposed against the new chemical structures. This analysis underscores the paradoxical reality of antimicrobial development: the introduction of new therapies simultaneously selects for and elucidates new resistance mechanisms. Preserving the efficacy of these essential drugs thus necessitates a multifaceted, globally coordinated "One Health" strategy. Finally, we discuss how the growing complexity of AMR mechanisms is driving the need for advanced diagnostic tools, exploring the pivotal role of bioinformatics and artificial intelligence in predicting resistance and closing knowledge gaps.
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Registered trials
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.