Evidence map›Paper›PMID 39832719›Full record

ArticleJournal of advanced research2025

Development of novel broad-spectrum amphipathic antimicrobial peptides against multidrug-resistant bacteria through a rational combination strategy.

Jing Zhang, Liang Luan, Youdong Xu, Shuyuan Jiang, Wenpeng Zhang, Long Tian, Weifeng Ye, Jiaqi Han, Changhao Zhang, Taoran Wang and 1 more

Abstract read
In one paragraph

Article in Journal of advanced research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Anti-Antibiotics (Basel, Switzerland) · 2025
    Article
  4. 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

11 authors.

Jing ZhangState Key Laboratory of National Security Specially Needed Medicines, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China; Key laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji 133002, China.
Liang LuanDepartment of Laboratory Medical Center, General Hospital of Northern Theater Command, No.83, Wenhua Road, Shenhe District, Shenyang 110016, China.
Youdong XuNational Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing 102206, China.
Shuyuan JiangState Key Laboratory of National Security Specially Needed Medicines, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China; Key laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji 133002, China.
Wenpeng ZhangState Key Laboratory of National Security Specially Needed Medicines, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China.
Long TianState Key Laboratory of National Security Specially Needed Medicines, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China.
Weifeng YeCenter of Clinical Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Jiaqi HanState Key Laboratory of National Security Specially Needed Medicines, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China.
Changhao ZhangKey laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, College of Pharmacy, Yanbian University, Yanji 133002, China. Electronic address: zhangch@ybu.edu.cn.
Taoran WangState Key Laboratory of National Security Specially Needed Medicines, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China. Electronic address: wtr1372957199@126.com.
Qingbing MengState Key Laboratory of National Security Specially Needed Medicines, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China. Electronic address: nankaimqb@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn recent years, cationic amphipathic antimicrobial peptides (AMPs) have shown great promise in combating antibiotic resistance on account of their distinctive membrane-disruptive mechanism. However, the clinical application of AMPs is restricted by their unsatisfactory stability and safety. Although attempts have been made to improve the stability and safety of AMPs, many of them are accompanied by a decline in their antimicrobial activity and bacterial selectivity.

objectivesTo develop AMPs with excellent and balanced antimicrobial activity, stability, and safety using a combination strategy.

methodsA series of sC18

resultsAmong these analogues, P-α-02-B stood out for its broad-spectrum and potent antimicrobial activity, anti-biofilm activity, desirable bacterial selectivity, high plasma stability, and synergistic effect with antibiotic levofloxacin. P-α-02-B exhibited strong membrane disturbance effect, which could be explained by its rigid α-helical structure revealed by molecular dynamics simulations. More importantly, P-α-02-B showed favorable therapeutic efficacy in vivo, whether used alone or in combination with levofloxacin.

conclusionP-α-02-B is a promising antimicrobial agent for MDR bacterial infections, demonstrating the effectiveness of the combination strategy for AMP development.

Indexed as

Antimicrobial Cationic PeptidesBacterial InfectionsDrug Resistance, Multiple, BacterialAnimalsAnimals, Outbred StrainsAnti-Bacterial AgentsBiofilmsDisease Models, AnimalDrug SynergismHEK293 CellsHemolysisHumansHydrophobic and Hydrophilic InteractionsLevofloxacinMaleMiceAnti-Bacterial AgentsAntimicrobial Cationic PeptidesLevofloxacinAmphipathicAntimicrobial PeptidesCationicCombination strategyMultidrug-resistant bacteria

Identifiers

PMID39832719
PMCPMC12627342

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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.