Evidence map›Paper›PMID 41372125›Full record

ArticleNature communications2025

Photo-reversible amyloid nanoNETs for regenerative antimicrobial therapies.

Qize Xuan, Hui Li, Yuan Gao, Xinchi Qiao, Yifan Feng, Xinyu Yu, Jiazhe Cai, Tonghui Jin, Bin Liu, Mohammad Peydayesh and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

16 authors.

Qize Xuan *Institute for Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai, PR China.
Hui Li *Institute for Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai, PR China.
Yuan Gao *Institute for Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai, PR China.
Xinchi QiaoInstitute for Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai, PR China.
Yifan FengInstitute for Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai, PR China.
Xinyu YuInstitute for Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai, PR China.
Jiazhe CaiInstitute for Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai, PR China.
Tonghui JinDepartment of Health Sciences and Technology, ETH Zürich, Schmelzbergstrasse 9, Zürich, Switzerland.
Bin LiuDepartment of Health Sciences and Technology, ETH Zürich, Schmelzbergstrasse 9, Zürich, Switzerland.
Mohammad PeydayeshDepartment of Health Sciences and Technology, ETH Zürich, Schmelzbergstrasse 9, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-6265-3811
Jiaqi SuDepartment of Health Sciences and Technology, ETH Zürich, Schmelzbergstrasse 9, Zürich, Switzerland.ORCID http://orcid.org/0000-0003-2010-8388
Peter FischerDepartment of Health Sciences and Technology, ETH Zürich, Schmelzbergstrasse 9, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-2992-5037
Ping WangDepartment of Bioproducts and Biosystems Engineering, University of Minnesota, St Paul, MN, USA.
Chao ChenInstitute for Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai, PR China. chaochen@shu.edu.cn.ORCID http://orcid.org/0009-0000-2809-9979
Jiangtao ZhouDepartment of Health Sciences and Technology, ETH Zürich, Schmelzbergstrasse 9, Zürich, Switzerland. jtzhou@nus.edu.sg.ORCID http://orcid.org/0000-0003-4248-2207
Raffaele MezzengaDepartment of Health Sciences and Technology, ETH Zürich, Schmelzbergstrasse 9, Zürich, Switzerland. raffaele.mezzenga@hest.ethz.ch.ORCID http://orcid.org/0000-0002-5739-2610

Funding

China Postdoctoral Science Foundation 2024M761917China Scholarship Council (CSC) 202206740021National Natural Science Foundation of China (National Science Foundation of China) 42125707; 42477424; 42407582Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 22ZR1415400
6 · The paper itself

Abstract

Drug-resistant bacterial infections, exacerbated by antibiotic resistance and biofilm resilience, disrupt tissue repair through dysregulated inflammation and impaired regeneration. Neutrophil extracellular traps (NETs) play a crucial role in endogenous immunity by entrapping and eliminating pathogens, inspiring the development of synthetic biomaterials that replicate this function. However, current synthetic NETs face challenges in complexity, biocompatibility, structural integrity and effectiveness. Here, we present a NETs-mimicking hydrogel composed of reversible lysozyme amyloid flexible nanofibrils (FFs) enabling pathogen elimination and tissue regeneration. The FFs therein self-assemble from natural egg-white lysozyme endowing these nanoNETs with bioactivity against pathogens, and when duly labeled to respond to near-infrared irradiation, they disassemble into unfolded lysozyme monomers with antimicrobial activity. Notably, the hydrogel disassembly is followed by the controlled release of pre-dissolved Mg²⁺ ions, reprogramming macrophages toward a pro-regenerative phenotype and mitigating inflammation. In both murine and porcine models, these biocompatible nanoNETs demonstrate excellent antibacterial performance, accelerating healing of wounds infected by methicillin-resistant Staphylococcus aureus (MRSA). Moreover, these nanoNETs boost in-vivo healing of MRSA-infected periprosthetic joints, preserving osteogenic and regenerative microenvironments. These results build on the reversible nature of flexible amyloids to introduce stimuli-responsive biocompatible nanoNETs with significant potential for antimicrobial and regenerative therapies in bacterial-resistant infections.

Indexed as

AmyloidAnti-Bacterial AgentsAnti-Infective AgentsExtracellular TrapsNanofibersAnimalsBiocompatible MaterialsFemaleHumansHydrogelsMacrophagesMethicillin-Resistant Staphylococcus aureusMiceMuramidaseRegenerationRegenerative MedicineAmyloidAnti-Bacterial AgentsAnti-Infective AgentsBiocompatible MaterialsHydrogelsMuramidase

Identifiers

PMID41372125
PMCPMC12696075

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.