Evidence map›Paper›PMID 36253652›Full record

ArticleCurrent microbiology2022

Effect of Berberine and Blue LED Irradiation on Combating Biofilm of Pseudomonas aeruginosa and Staphylococcus aureus.

Sadaf Mahuti Safai, Khatereh Khorsandi, Sarvenaz Falsafi

Abstract read
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In one paragraph

Article in Current microbiology, 2022. 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
0.7field-weighted citation impact, top 33% of its field
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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

3 authors at 3 institutions in 2 countries.

Sadaf Mahuti SafaiDepartment of Microbiology, Faculty of Biology Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Khatereh KhorsandiDepartment of Photodynamic, Medical Laser Research Center, Yara Institute, ACECR, Tehran, Iran. Khorsandi.kh@ut.ac.ir.
Sarvenaz FalsafiDepartment of Microbiology, Faculty of Advanced Sciences and Technology, Tehran Medical Science, Islamic Azad University, Tehran, Iran.
Academic Center for Education, Culture and Research · IRIslamic Azad University Medical Branch of Tehran · IRIslamic Azad University, Science and Research Branch · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, with increasing resistance of microorganisms to drugs, it is necessary to look for new solutions beside antibiotic therapy. One of these effective approaches is the use of plant compounds and blue LED Irradiation. Berberine (an alkaloid compound) has several properties, including antibacterial effect. This compound destroys bacterial cells by producing reactive oxygen species (ROS). In this study, the combined effect of blue LED Irradiation and berberine on Pseudomonas aeruginosa (Gram-negatives) and Staphylococcus aureus (Gram-positive) and also their effect on human dermal fibroblast (HDF) cells were investigated. The obtained results showed that the combination of berberine and blue light irradiation had a better effect on both bacteria and this antimicrobial effect was higher in Gram-positive bacteria. These compounds also prevented the formation of biofilms and were able to destroy the created biofilms. Therefore, this method can be suggested to treat infection in chronic wounds, such as diabetic wounds.

Indexed as

BerberineStaphylococcal InfectionsAnti-Bacterial AgentsBiofilmsHumansPseudomonas aeruginosaReactive Oxygen SpeciesStaphylococcus aureusAnti-Bacterial AgentsBerberineReactive Oxygen Species

Identifiers

PMID36253652
OpenAlexW4306646044

What OpenQuestion holds

Textmetadata
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.