Evidence map›Paper›PMID 39460484›Full record

ArticleAdvanced healthcare materials2025

MOF-Enhanced Phototherapeutic Wound Dressings Against Drug-Resistant Bacteria.

Zhihao Yu, Xiali Fu, Theotim Lucas, Heng Zhao, Changchong Chen, Iharilalao Dubail, Yong Chen, Gilles Patriarche, Jérôme Gateau, Florence Gazeau and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Iron-MOFs for Biomedical Applications.Advanced healthcare materials · 2025
    Review
  8. Article
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

13 authors.

Zhihao YuInstitut des Matériaux Poreux de Paris, ENS, ESPCI Paris, CNRS, PSL University, Paris, 75005, France.
Xiali FuINSERM UMR-S1151, CNRS UMR-S8253, Institut Necker Enfants Malades, Team « Pathogenesis of systemic infections », Université Paris Cité, Paris, F-75015, France.
Theotim LucasMatière et Systèmes Complexes (MSC), UMR CNRS 7057, Université Paris Cité, Paris, 75006, France.
Heng ZhaoInstitut des Matériaux Poreux de Paris, ENS, ESPCI Paris, CNRS, PSL University, Paris, 75005, France.
Changchong ChenPASTEUR, Département de Chimie, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, Paris, 75005, France.
Iharilalao DubailINSERM UMR-S1151, CNRS UMR-S8253, Institut Necker Enfants Malades, Team « Pathogenesis of systemic infections », Université Paris Cité, Paris, F-75015, France.
Yong ChenPASTEUR, Département de Chimie, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, Paris, 75005, France.
Gilles PatriarcheCNRS, Centre de Nanosciences et de Nanotechnologies, Université Paris-Saclay, Palaiseau, 91120, France.
Jérôme GateauCNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Sorbonne Université, Paris, F-75006, France.
Florence GazeauMatière et Systèmes Complexes (MSC), UMR CNRS 7057, Université Paris Cité, Paris, 75006, France.
Anne JametINSERM UMR-S1151, CNRS UMR-S8253, Institut Necker Enfants Malades, Team « Pathogenesis of systemic infections », Université Paris Cité, Paris, F-75015, France.
Mathilde LepoitevinInstitut des Matériaux Poreux de Paris, ENS, ESPCI Paris, CNRS, PSL University, Paris, 75005, France.
Christian SerreInstitut des Matériaux Poreux de Paris, ENS, ESPCI Paris, CNRS, PSL University, Paris, 75005, France.ORCID 0000-0003-3040-2564

Funding

China Sponsorship Council 202008440250China Sponsorship Council 202106300010
6 · The paper itself

Abstract

Phototherapy is a low-risk alternative to traditional antibiotics against drug-resistant bacterial infections. However, optimizing phototherapy agents, refining treatment conditions, and addressing misuse of agents, remain a formidable challenge. This study introduces a novel concept leveraging the unique customizability of metal-organic frameworks (MOFs) to house size-matched dye molecules in "single rooms". The mesoporous iron(III) carboxylate nanoMOF, MIL-100(Fe), and the hydrophobic heptamethine cyanine photothermal dye (Cy7), IR775, are selected as model systems. Their combination is predicted to minimize dye-dye interactions, leading to exceptional photostability and efficient light-to-heat conversion. Furthermore, MIL-100(Fe) preserves the antimicrobial nature of hydrophobic IR775, enabling it to disrupt bacterial cell envelopes. Through electrospinning, MIL-100(Fe)@IR775 nanoparticles are shaped into a gelatin-based film dressing for the treatment of skin wounds infected by Methicillin-resistant Staphylococcus aureus (MRSA). Activation of the dressing requires only a portable near-infrared light-emitting diode (NIR LED) and induces both low-dose photodynamic therapy (LPDT) and mild-temperature photothermal therapy (MPTT). Combined with the antimicrobial properties of IR775 and ferroptosis-like lipid peroxidation induced by MIL-100(Fe), the photoactive dressing eradicates MRSA and the healing is as quick as the uninfected wounds. This safe, cost-effective, and multifunctional therapeutic wound dressing offers a promising solution to overcome the current bottleneck in phototherapy.

Indexed as

BandagesMetal-Organic FrameworksMethicillin-Resistant Staphylococcus aureusAnimalsAnti-Bacterial AgentsHumansMicePhototherapyStaphylococcal InfectionsWound HealingAnti-Bacterial AgentsMetal-Organic Frameworksmetal–organic frameworksmethicillin‐resistant Staphylococcus aureusmild‐temperature photothermal therapyphotostabilityporous materials

Identifiers

PMID39460484
PMCPMC11694089

What OpenQuestion holds

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LicenceCC BY-NC
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.