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Record W4396949103 · doi:10.1371/journal.pone.0303490

Benzyl isothiocyanate as an alternative to antibiotics? a comparative in vivo study using Pseudomonas aeruginosa infection as a model

2024· article· en· W4396949103 on OpenAlexaff
Jian Yang, Tousif Ahmed Hediyal, Saravana Babu Chidambaram, Ruchika Kaul-Ghanekar, Meena Kishore Sakharkar

Bibliographic record

VenuePLoS ONE · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics, phytochemicals, and oxidative stress
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAntibioticsAntimicrobialPseudomonas aeruginosaMicrobiologyIn vivoBenzyl isothiocyanateCeftiofurAntibiotic resistanceBiologyChemistryPharmacologyMedicineIsothiocyanateBacteriaBiochemistryBiotechnology

Abstract

fetched live from OpenAlex

Due to over-prescription of antibiotics, antimicrobial resistance has emerged to be a critical concern globally. Many countries have tightened the control of antibiotic usage, which, in turn, promotes the search for alternatives to antibiotics. Quite a few phytochemicals have been investigated. Benzyl isothiocyanate (BITC) is an important secondary metabolite in cruciferous species and exhibited potent antimicrobial activity under in vitro conditions. In this research, we undertook a comparative mouse model study of BITC with gentamycin sulfate (positive antibiotic control) and ceftiofur hydrochloride (negative antibiotic control) against Pseudomonas aeruginosa infection. Our results showed that BITC exhibited comparable or better antimicrobial activity and lower infiltration of mouse immune cells upon comparing to gentamycin sulfate. Furthermore, BITC did not impose any toxicity to the air pouch skin tissues. In summary, our current study suggests that BITC could be an alternative to antibiotics and deserves further in vivo and clinical trial studies.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.069
GPT teacher head0.327
Teacher spread0.258 · 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 designBench or experimental
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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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Same venuePLoS ONESame topicGenomics, phytochemicals, and oxidative stressFrench-language works237,207