Evidence map›Paper›PMID 40836249›Full record

ArticleJournal of nanobiotechnology2025

Self-assembled nanopeptide dendrites with high antifungal activity and protease hydrolytic stability for fungal keratitis treatment.

Guoyu Li, Hongyu Chen, Wenwen Chen, Zhenheng Lai, Yinfeng Lyu, Anshan Shan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nanobiotechnology, 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. 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

6 authors.

Guoyu LiCollege of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030, P. R. China.
Hongyu ChenCollege of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030, P. R. China.
Wenwen ChenCollege of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030, P. R. China.
Zhenheng LaiCollege of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030, P. R. China.
Yinfeng LyuCollege of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030, P. R. China. yflyu@neau.edu.cn.
Anshan ShanCollege of Animal Science and Technology, Northeast Agricultural University, Harbin, 150030, P. R. China. asshan@neau.edu.cn.

Funding

Heilongjiang Provincial Collaborative Innovation Achievement Project for Universities-Incubation Project LJGXCG2022-022National Key R&D Project 2022YFD1300700State Key Program of National Natural Science Foundation of China Nos. 32030101 and 32272914
6 · The paper itself

Abstract

The excessive use of antibiotics in recent years has contributed to an increase in microbial resistance, thereby compromising the health of both humans and animals and necessitating the development of innovative therapeutic strategies. In this study, we have creatively integrated fatty acids into the previously reported anti-enzymolysis unit (CRKP) in a branched configuration, resulting in the design and fabrication of a series of peptide dendritic with potent antifungal and anti-drug-resistant fungal activities. Notably, peptide dendron C

Indexed as

Antifungal AgentsDendrimersKeratitisNanoparticlesPeptide HydrolasesPeptidesAnimalsCandida albicansHumansHydrolysisMiceMicrobial Sensitivity TestsReactive Oxygen SpeciesAntifungal AgentsDendrimersPeptide HydrolasesPeptidesReactive Oxygen SpeciesAntifungal activityIn vivo efficacyMechanism of actionSelf-assembling nanoparticlesStability

Identifiers

PMID40836249
PMCPMC12369107

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.