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Record W4406187176 · doi:10.1101/2025.01.07.25320112

Toxigenecity and Virulence variations of <i>Pseudomonas aeruginosa</i> from out-patients hospitals in Southwest Nigeria

2025· preprint· en· W4406187176 on OpenAlexaff
Olusola Arinola Akinboye, Olusola Abiodun Akingbdae, Babatunde Olanrewaju Motayo, Eunice Folusho Olajumoke Akinleye, Idowu Adegbilero‐Iwari, Nimotalahi Omotunde

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsRedeemer University
Fundersnot available
KeywordsPseudomonas aeruginosaVirulenceMicrobiologyGeographyMedicineBiologyBacteriaGeneticsGene

Abstract

fetched live from OpenAlex

ABSTRACT Background Multidrug resistant (MDR) Pseudomonas aeruginosa isolates harboring genes for virulence and antibiotic resistance, have grown more prevalent lately. These strains pose a major threat to the general population, especially in tertiary care settings. There is a paucity of information on toxigenic and virulence diversity of multidrug resistant P. aeruginosa in Nigeria, hence, the need to characterize and determine the variations of the virulence genes. Methods Six hundred clinical samples from different anatomical sites were collected aseptically from Lagos University Teaching Hospital (LUTH), University of Medical Sciences, Ondo (UNIMED) and Federal Medical Centre, Abeokuta (FMC). Pseudomonas aeruginosa was isolated using cetrimide agar identified using biochemical tests. Antibiotic sensitivity was done by disc diffusion method. Protease, phospholipase C (lecithinase), caseinase and gelatinase presence were assayed for. Genomic DNA was extracted from P. aeruginosa isolates and screened for the presence of N-Acetylneuraminate synthase (NaN), Elastase B ( Las B), Exotoxin A (ExoA), Exoenzyme S (ExoS) and Exoenzyme U (ExoU) virulence genes by PCR. Results Three hundred and sixty bacterial isolates identified from clinical samples are as follows: Pseudomonas aeruginosa (11.3%), Escherichia coli (18.0%), Klebsiella pneumoniae (14.3%), Staphylococcus aureus (10.2%), Proteus mirabilis (3.2%), Streptococcus pnuemoniae (2.3% ), Enterobacter aerogenes (0.5%) and Acinetobacter baumanni (0.1%). Enzymes detected in the P. aeruginosa isolates were Phospholipase C (77.9%), caseinase (83.9%), gelatinase (98.5%) and protease (88.2%). The P. aeruginosa isolates were all resistant to ampicillin and cloxacillin; 26 (38.2 %) strains exhibited multidrug resistance. Virulence Las B elastase gene was detected in all 14 multi resistant P. aeruginosa , ExoA was detected in 5, ExoS in 4, ExoU in 5 and NaN in 4 isolates: Four (28.6%) Conclusion The study confirmed presence and variations of toxic genes in Pseudomonas aeruginosa isolated from all the three tertiary hospitals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.232
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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