Evidence map›Paper›PMID 36505736›Full record

ReviewFrontiers in chemistry2022

Nanomaterials as carriers to improve the photodynamic antibacterial therapy.

Houhe Liu, Yuan Jiang, Zhen Wang, Linping Zhao, Qianqian Yin, Min Liu

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Carbon Dots in Photodynamic/Photothermal Antimicrobial Therapy.Nanomaterials (Basel, Switzerland) · 2024
    Review
  5. Pathogens and global health · 2024
    Review
  6. 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.

Houhe LiuCollege of Agriculture and Forestry, Linyi University, Linyi, China.
Yuan JiangClinical Medical College and The First Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Zhen WangCollege of Agriculture and Forestry, Linyi University, Linyi, China.
Linping ZhaoThe Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Qianqian YinLonghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Min LiuCollege of Agriculture and Forestry, Linyi University, Linyi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main treatment for bacterial infections is antibiotic therapy, but the emergence of bacterial resistance has severely limited the efficacy of antibiotics. Therefore, another effective means of treating bacterial infections is needed to alleviate the therapeutic pressure caused by antibiotic resistance. Photodynamic antibacterial therapy (PDAT) has gradually entered people's field of vision as an infection treatment method that does not depend on antibiotics. PDAT induces photosensitizers (PS) to produce reactive oxygen species (ROS) under light irradiation, and kills bacteria by destroying biological macromolecules at bacterial infection sites. In recent years, researchers have found that some nanomaterials delivering PS can improve PDAT through targeted delivery or synergistic therapeutic effect. Therefore, in this article, we will review the recent applications of several nanomaterials in PDAT, including metal nanoclusters, metal-organic frameworks, and other organic/inorganic nanoparticles, and discuss the advantages and disadvantage of these nanomaterials as carriers for delivery PS to further advance the development of PDAT.

Indexed as

nanomaterialsnon-antibioticphotodynamic antibacterial therapyphotosensitizerreactive oxygen species

Identifiers

PMID36505736
PMCPMC9732008

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.