Evidence map›Paper›PMID 37733140›Full record

ArticleCurrent microbiology2023

Prevalence of Type III Secretion System (T3SS) and Biofilm Development in Genetically Heterogeneous Clinical Isolates of Pseudomonas aeruginosa from Nigeria.

Oluwatoyin B Olaniran, Ahmed Donia, Olufemi E Adeleke, Habib Bokhari

Abstract read
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Article in Current microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 65% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 at 2 institutions in 4 countries.

Oluwatoyin B OlaniranDepartment of Pharmaceutical Microbiology, Olabisi Onabanjo University, Ago-Iwoye, Nigeria.
Ahmed DoniaInstitute for Water and Wastewater Technology, Durban University of Technology, Durban, South Africa.
Olufemi E AdelekeDepartment of Pharmaceutical Microbiology, University of Ibadan, Ibadan, Nigeria.
Habib BokhariDepartment of Biosciences, Faculty of Science, COMSATS University Islamabad, Islamabad, Pakistan. vc@kum.edu.pk.ORCID http://orcid.org/0000-0002-2171-6062
COMSATS University Islamabad · PKUniversity of Ibadan · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudomonas aeruginosa infection in seriously ill patients is a major concern due to its ability to form biofilm and secrete effector toxins. There is little information on the prevalence of T3SS effector toxins and biofilm production in clinical isolates of P. aeruginosa from Nigeria. The goal of this study is to evaluate the prevalence of T3SS toxins and biofilm production among isolates from selected tertiary hospitals in Nigeria. This study examined 430 clinical isolates from our previous work, comprising 181 MDR (multidrug-resistant) and 249 non-MDR isolates. Biofilm production and type III secretion toxins were determined using colorimetric microtiter plate assay and polymerase chain reaction, respectively. Carbapenem-resistant isolates were typed using REP-PCR and BOX-PCR. Biofilm production was detected in 386/430 (89.8%) of the isolates. Out of 386 biofilm producers, 167 (43.3%) were multidrug-resistant isolates. PCR identified four T3SS virulence types among 430 isolates, including 78 (18.1%) exoU+/exoS- isolates, 343 (79.8%) exoU-/exoS + isolates, 5 (1.2%) exoU+/exoS + isolates, and 4 (0.9%) exoU-/exoS- isolates. Both REP- and BOX-PCR consist of eight clusters. On the REP-PCR dendrogram, ExoU

Indexed as

Pseudomonas aeruginosaType III Secretion SystemsBiofilmsHumansNigeriaPrevalenceType III Secretion Systems

Identifiers

PMID37733140
OpenAlexW4386910891

What OpenQuestion holds

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Registered trials

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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.