Bacteria‐responsive transformable peptide‐based nanomaterials inspired by human α‐defensin 6 for labeling and entrapping pathogenic bacteria

Abstract Antimicrobial resistance caused by overuse of antibiotics has promoted the demand for effective antibacterial materials. However, the development of existing antibacterial strategies mostly focuses on direct sterilization, which may lead to flora imbalance and drug resistance. Here, a series of peptide‐based aggregation‐induced emssion nanomaterials (PBANs) with multiple structural domains were designed by mimicking the self‐assembly of human α‐defensin 6. Specifically, PBANs self‐assemble to form nanoparticles in physiological environments and in situ transform into nanofibers on bacterial surfaces through receptor‐ligand interactions in infected microenvironments, resulting in enhanced fluorescence signal and activation of functions, while labeling and entrapping bacteria. Different from traditional antibacterial strategies that directly kill pathogenic microorganisms, PBANs can inhibit bacterial motility and invasion into the host system through physical barriers and affecting energy metabolism pathways. In addition, PBANs can further recruit macrophages to the infection site to engulf entrapped bacteria, thereby synergistically reducing the infection efficiency. In mouse and piglet systemic infection models, the PBANs showed favorable therapeutic efficacy, significantly reducing bacterial load and levels of inflammation factors. Overall, this study provides perspectives for developing biomimetic stimuli‐responsive nanomaterials to combat bacterial infections.

Authors

Institutions

Publication Details

Journal
Responsive materials
Published
2025-03-24
DOI
https://doi.org/10.1002/rpm.20240029
Citations
6
Primary Topic
Antimicrobial Peptides and Activities
Type
article
Field-Weighted Citation Impact
7.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bacteria‐responsive transformable peptide‐based nanomaterials inspired by human α‐defensin 6 for labeling and entrapping pathogenic bacteria

Chenlong Zhou, Shuaikang Yang, Xi Ma, Peng Tan et al.
6 citations
Responsive materials
Antimicrobial Peptides and Activities
7.10
article

Bacteria‐responsive transformable peptide‐based nanomaterials inspired by human α‐defensin 6 for labeling and entrapping pathogenic bacteria

Chenlong Zhou, Shuaikang Yang, Xi Ma, Peng Tan, Guanghui Zhao, Yue Feng, Yucheng Zhang, Tao Wang, Qi Tang
article en
6 citations

Abstract

Abstract Antimicrobial resistance caused by overuse of antibiotics has promoted the demand for effective antibacterial materials. However, the development of existing antibacterial strategies mostly focuses on direct sterilization, which may lead to flora imbalance and drug resistance. Here, a series of peptide‐based aggregation‐induced emssion nanomaterials (PBANs) with multiple structural domains were designed by mimicking the self‐assembly of human α‐defensin 6. Specifically, PBANs self‐assemble to form nanoparticles in physiological environments and in situ transform into nanofibers on bacterial surfaces through receptor‐ligand interactions in infected microenvironments, resulting in enhanced fluorescence signal and activation of functions, while labeling and entrapping bacteria. Different from traditional antibacterial strategies that directly kill pathogenic microorganisms, PBANs can inhibit bacterial motility and invasion into the host system through physical barriers and affecting energy metabolism pathways. In addition, PBANs can further recruit macrophages to the infection site to engulf entrapped bacteria, thereby synergistically reducing the infection efficiency. In mouse and piglet systemic infection models, the PBANs showed favorable therapeutic efficacy, significantly reducing bacterial load and levels of inflammation factors. Overall, this study provides perspectives for developing biomimetic stimuli‐responsive nanomaterials to combat bacterial infections.

Responsive materialsVol. 3(2)
Henan University (CN), China Agricultural University (CN), Fujian Agriculture and Forestry University (CN)
Openalex Percentile: Top 3%
Antimicrobial Peptides and Activities
7.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.