Evidence map›Paper›PMID 40313575›Full record

ReviewBiomaterials translational2025

Antibacterial sonodynamic nanomedicine: mechanism, category, and applications.

Shuanglong Yi, Yao Gao, Luodan Yu, Yu Chen

Abstract readReview
In one paragraph

Review in Biomaterials translational, 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. Article
  2. Article
  3. Ultrasound- and NIR-Responsive Polydextran/Black TiOACS applied materials & interfaces · 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

4 authors.

Shuanglong YiDepartment of Radiology, Shanghai Institute of Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yao GaoMaterdicine Lab, School of Life Sciences, Shanghai University, Shanghai, China.
Luodan YuDepartment of Radiology, Shanghai Institute of Thoracic Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yu ChenMaterdicine Lab, School of Life Sciences, Shanghai University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sonodynamic therapy (SDT) has emerged as a cutting-edge strategy for combating multidrug-resistant bacterial infections. Unlike conventional antibiotics, SDT leverages the generation of reactive oxygen species during the treatment process to inflict multifaceted damage on bacterial cells, thereby significantly reducing the likelihood of developing drug resistance. Compared to other physical sterilisation methods, such as ultraviolet irradiation, SDT offers enhanced tissue penetration, making it particularly suitable for addressing deep-seated infections, including osteomyelitis. Despite its significant advantages, the clinical translation of SDT for antibacterial applications faces several challenges. This review discusses the fundamental mechanisms of SDT, with a focus on phenomena such as cavitation-induced reactions and piezocatalytic generation of reactive oxygen species. Furthermore, it provides a comprehensive analysis of various sonosensitisers used in SDT, emphasising their potential to enhance therapeutic outcomes in areas such as infected wound healing, bone regeneration, and the mitigation of deep tissue inflammation. While SDT shows great promise in addressing multidrug-resistant bacterial infections, further research and development are essential to overcome existing limitations and unlock its full clinical potential.

Indexed as

antibacterial applicationreactive oxygen speciessonodynamic therapysonosensitisers

Identifiers

PMID40313575
PMCPMC12041805

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.