Evidence map›Paper›PMID 35505039›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Bioluminescent Models to Evaluate the Efficiency of Light-Based Antibacterial Approaches.

Ana T P C Gomes, Maria A F Faustino, Maria G P M S Neves, Adelaide Almeida

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ana T P C GomesDepartment of Biology & CESAM, University of Aveiro, Aveiro, Portugal.
Maria A F FaustinoLAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Aveiro, Portugal.
Maria G P M S NevesLAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Aveiro, Portugal.
Adelaide AlmeidaDepartment of Biology & CESAM, University of Aveiro, Aveiro, Portugal. aalmeida@ua.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of microbial resistance to antimicrobials among several common pathogenic microbial strains is an increasing problem worldwide. Thus, it is urgent to develop not only new antimicrobial therapeutics to fight microbial infections, but also new effective, rapid, and inexpensive methods to monitor the efficacy of these new therapeutics. Antimicrobial photodynamic therapy (aPDT) and antimicrobial blue light (aBL) therapy are receiving considerable attention for their antimicrobial potential and represent realistic alternatives to antibiotics. To monitor the photoinactivation process provided by aPDT and aBL, faster and more effective methods are required instead of laborious conventional plating and overnight incubation procedures. Bioluminescent microbial models are very interesting in this context. Light emission from bioluminescent microorganisms is a highly sensitive indication of their metabolic activity and can be used to monitor, in real time, the effects of antimicrobial agents and therapeutics. This chapter reviews the efforts of the scientific community concerning the development of in vitro, ex vivo, and in vivo bioluminescent bacterial models and their potential to evaluate the efficiency of aPDT and aBL in the inactivation of bacteria.

Indexed as

Anti-Infective AgentsPhotochemotherapyAnti-Bacterial AgentsBacteriaImmunologic TestsAnti-Bacterial AgentsAnti-Infective AgentsAlternative approachesAntimicrobial blue light therapy (aBL)Antimicrobial photodynamic therapy (aPDT)BacteriaBioluminescent modelsBiomedical researchDrug monitoringPhotosensitizersResistance

Identifiers

PMID35505039

What OpenQuestion holds

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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.