Evidence map›Paper›PMID 40659635›Full record

ArticleNature communications2025

Eradicating fungal biofilm-based infections by ultrasound-assisted semiconductor sensitized upconversion photodynamic therapy.

Zeyu Liu, Minying Li, Qiulin Xie, Yinghui Liu, Jialin Huang, Qin Zeng, Xipeng Li, Kexiang Rao, Juewei Ning, Minghai Zhao and 8 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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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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

18 authors.

Zeyu Liu *Molecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China.ORCID http://orcid.org/0000-0001-9475-1582
Minying Li *Molecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China.ORCID http://orcid.org/0000-0001-8389-0544
Qiulin Xie *Molecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China.
Yinghui Liu *Molecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China.
Jialin HuangMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China.
Qin ZengInstitute for Engineering Medicine, Kunming Medical University, Kunming, PR China.
Xipeng LiInstitute for Engineering Medicine, Kunming Medical University, Kunming, PR China.
Kexiang RaoMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China.
Juewei NingMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China.
Minghai ZhaoMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China.
Bin LiNHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Key Laboratory of Vascular Injury and Repair Research, Ningxia Medical University, Yinchuan, PR China.ORCID http://orcid.org/0000-0001-9870-9963
Feng LiSchool of Chemistry and Chemical Engineering, The Key Laboratory of Fuel Cell Technology of Guangdong Province, South China University of Technology, Guangzhou, PR China.
Haiyang LiuSchool of Chemistry and Chemical Engineering, The Key Laboratory of Fuel Cell Technology of Guangdong Province, South China University of Technology, Guangzhou, PR China.
Sitong ZhouDepartment of Burn Surgery, Institute of Translational Medicine, The First People's Hospital of Foshan, Foshan, PR China.
Bowen ShuMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China. shubw@scnu.edu.cn.ORCID http://orcid.org/0000-0002-9704-2471
Bin YangMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China. yangbin1@smu.edu.cn.ORCID http://orcid.org/0000-0002-7155-6079
Judun ZhengMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital, Southern Medical University, Guangzhou, PR China. zhengjd53815@163.com.ORCID http://orcid.org/0000-0001-5016-700X
Yuhui LiaoInstitute for Engineering Medicine, Kunming Medical University, Kunming, PR China. liaoyh8@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-4702-9516

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82322042, 82102444, 82272248
6 · The paper itself

Abstract

Fungal biofilms, as self-produced extracellular polymeric substances that resist antifungal agents and immune defense, represent a major cause of treatment failure and recurrent infections. Therefore, it is of great importance to eradicate fungal biofilms to achieve efficient therapy. This study develops a synergistic reactive oxygen species (ROS)-enhanced strategy to eradicate Candida albicans biofilms by designing ultrasound-light dual-responsive nanohybrids (UCNP@CR). The system integrates thulium-doped upconversion nanoparticles (UCNPs) with carbon nitride-coated surfaces (g-C

Indexed as

BiofilmsCandida albicansPhotochemotherapyAnimalsAntifungal AgentsCandidiasisHumansMaleMiceNanoparticlesNitrilesPhotosensitizing AgentsReactive Oxygen SpeciesRutheniumSemiconductorsUltrasonic WavesAntifungal AgentscyanogenNitrilesPhotosensitizing AgentsReactive Oxygen SpeciesRuthenium

Identifiers

PMID40659635
PMCPMC12260111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.