Evidence map›Paper›PMID 31430576›Full record

ArticlePhotodiagnosis and photodynamic therapy2019

Inactivation kinetics and lethal dose analysis of antimicrobial blue light and photodynamic therapy.

Caetano P Sabino, Mark Wainwright, Carolina Dos Anjos, Fábio P Sellera, Maurício S Baptista, Nilton Lincopan, Martha S Ribeiro

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Photodiagnosis and photodynamic therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  4. Low-Irradiance Antimicrobial Blue Light-Bathing Therapy for Wound Infection Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  7. Yonago acta medica · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Caetano P SabinoBioLambda, Scientific and Commercial LTD, São Paulo, SP, Brazil; Department of Clinical Analysis, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil. Electronic address: caetanosabino@gmail.com.
Mark WainwrightSchool of Pharmacy & Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK.
Carolina Dos AnjosDepartment of Internal Medicine, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, SP, Brazil.
Fábio P SelleraDepartment of Internal Medicine, School of Veterinary Medicine and Animal Science, University of São Paulo, São Paulo, SP, Brazil.
Maurício S BaptistaDepartment of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, SP, Brazil.
Nilton LincopanDepartment of Clinical Analysis, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil; Department of Microbiology, Institute for Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.
Martha S RibeiroCenter for Lasers and Applications, Nuclear and Energy Research Institute, National Commission for Nuclear Energy, São Paulo, SP, Brazil.
Universidade de São Paulo · BRLiverpool John Moores University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial Photodynamic therapy (A-PDT) has been used to treat infections. Currently, microbial inactivation data is reported presenting survival fraction averages and standard errors as discrete points instead of a continuous curve of inactivation kinetics. Standardization of this approach would allow clinical protocols to be introduced globally, instead of the piecemeal situation which currently applies.

methodsTo this end, we used a power-law function to fit inactivation kinetics and directly report values of lethal doses (LD) and a tolerance factor (T) that informs if inactivation rate varies along the irradiation procedure. A deduced formula was also tested to predict LD for any given survival fraction value. We analyzed the photoantimicrobial effect caused by red light activation of methylene blue (MB-APDT) and by blue light (BL) activation of endogenous microbial pigments against 5 clinically relevant pathogens.

resultsFollowing MB- APDT, Escherichia coli and Staphylococcus aureus cells become increasingly more tolerant to inactivation along the irradiation process (T < 1). Klebsiella pneumoniae presents opposite behavior, i.e., more inactivation is observed towards the end of the process (T > 1). P. aeruginosa and Candida albicans present constant inactivation rate (T˜1). In contrast, all bacterial species presented similar behavior during inactivation caused by BL, i.e., continuously becoming more sensitive to blue light exposure (T > 1).

conclusionThe power-law function successfully fit all experimental data. Our proposed method precisely predicted LD and T values. We expect that these analytical models may contribute to more standardized methods for comparisons of photodynamic inactivation efficiencies.

Indexed as

PhotochemotherapyAnti-Infective AgentsBacteriaCandida albicansDose-Response Relationship, DrugEscherichia coliKlebsiella pneumoniaeMethylene BlueMicrobial ViabilityPhotosensitizing AgentsPseudomonas aeruginosaStaphylococcus aureusAnti-Infective AgentsMethylene BluePhotosensitizing AgentsAntimicrobial Photodynamic TherapyBacteriaFungiMicrobial controlPhotoantimicrobialPhotodynamic antimicrobial chemotherapyPhotoinactivation

Identifiers

PMID31430576
OpenAlexW2968188325

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.