Evidence map›Paper›PMID 42041314›Full record

ReviewAntibiotics (Basel, Switzerland)2026

Antibiotic Mechanisms and Resistance: Molecular Insights and Therapeutic Strategies.

Haodi Ma, Liying Zhang, Lulu Wang, Zimeng Yang, Junfeng Liu, Haoyang Sun, Shuai Ge, Chunshan Quan

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Callus Induction inPlants (Basel, Switzerland) · 2026
    Article
  4. Review
  5. Review
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

8 authors.

Haodi MaKey Laboratory of Biotechnology and Bioresources Utilization (Ministry of Education), College of Life Science, Dalian Minzu University, Dalian 116600, China.
Liying ZhangKey Laboratory of Biotechnology and Bioresources Utilization (Ministry of Education), College of Life Science, Dalian Minzu University, Dalian 116600, China.ORCID 0000-0001-8520-267X
Lulu WangKey Laboratory of Biotechnology and Bioresources Utilization (Ministry of Education), College of Life Science, Dalian Minzu University, Dalian 116600, China.
Zimeng YangKey Laboratory of Biotechnology and Bioresources Utilization (Ministry of Education), College of Life Science, Dalian Minzu University, Dalian 116600, China.
Junfeng LiuKey Laboratory of Biotechnology and Bioresources Utilization (Ministry of Education), College of Life Science, Dalian Minzu University, Dalian 116600, China.
Haoyang SunKey Laboratory of Biotechnology and Bioresources Utilization (Ministry of Education), College of Life Science, Dalian Minzu University, Dalian 116600, China.
Shuai GeKey Laboratory of Biotechnology and Bioresources Utilization (Ministry of Education), College of Life Science, Dalian Minzu University, Dalian 116600, China.
Chunshan QuanKey Laboratory of Biotechnology and Bioresources Utilization (Ministry of Education), College of Life Science, Dalian Minzu University, Dalian 116600, China.

Funding

Applied Basic Research Project of Liaoning Provincial Science and Technology Department 2022020332-JH2/1013Basic scientific research projects of Liaoning Provincial Department of Education LJKMZ20220401
6 · The paper itself

Abstract

Antibiotic resistance is a critical global health threat, already causing over 1.27 million deaths annually and projected to exceed 10 million by 2050. This crisis is compounded by stagnation in novel antibiotic discovery, highlighting the need for mechanism-based innovation. Here, we provide an integrative framework linking antibiotic mechanisms of action, bacterial resistance pathways, and emerging therapeutic strategies. Antibiotics are systematically categorized by their molecular targets, cell wall synthesis, membrane integrity, nucleic acid replication, protein synthesis, and metabolic pathways, while resistance mechanisms are outlined in parallel, including enzymatic degradation, target modification, efflux, and permeability barriers. We further highlight novel approaches such as structure-guided drug design, synergistic combinations, nanoparticle delivery, and artificial intelligence-driven discovery. Precision medicine and microbiome modulation are also emphasized as next-generation interventions. By bridging molecular mechanisms with translational strategies, this review outlines opportunities to guide antibiotic innovation and advance precision therapies against the escalating threat of antimicrobial resistance.

Indexed as

antibiotic mechanismsantimicrobial resistancecombination therapydrug discoverymolecular targetsprecision medicine

Identifiers

PMID42041314
PMCPMC13113030

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.