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Record W2808164171 · doi:10.4103/ijmy.ijmy_35_18

Antimicrobial effect of dimethyl sulfoxide and N, N-Dimethylformamide on Mycobacterium abscessus: Implications for antimicrobial susceptibility testing

2018· article· en· W2808164171 on OpenAlexaff
John E. Moore, ZaraI Kirkwood, BeverleyCherie Millar, D.G. Downey

Bibliographic record

VenueInternational Journal of Mycobacteriology · 2018
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsQueen's University
Fundersnot available
KeywordsAntimicrobialDimethyl sulfoxideMinimum inhibitory concentrationAgar dilutionChemistryAntibioticsMycobacteriumMicrobiologyDimethylformamideSerial dilutionCombinatorial chemistryOrganic chemistryBacteriaBiologyMedicineBiochemistrySolvent

Abstract

fetched live from OpenAlex

Background: The emergence of antimicrobial resistance globally has initiated the discovery of novel antibiotics and other antimicrobial substances. Many of these novel compounds may be found in phytochemicals, where these novel compounds are extremely difficult to redissolve for antimicrobial susceptibility testing, following extraction. The aim of this study was to examine the potential antimicrobial effects of the common solvents, dimethyl sulfoxide (DMSO) and N, N-dimethylformamide (DMF), which are commonly employed as solvents of novel antimicrobial substances, with the nontuberculous Mycobacterium and Mycobacterium abscessus. Methods: ) dilution and incubated. Zones of inhibition were recorded in mm. Results: : DMSO and DMF had an inhibitory effect on M. abscessus (n = 17 clinical isolates). This inhibitory effect was avoided by diluting DMSO 10-fold and DMF 10,000-fold. Conclusion: : Such data are important when employing these common solvents with molecules which are difficult to dissolve into solution, including conventional antibiotics, as well as novel antimicrobial agents, particularly in antimicrobial susceptibility studies. Investigators should therefore be aware of this inhibition and avoid working with these solvents at high concentration to avoid bacterial growth inhibition. The use of appropriate experimental controls is highly recommended in such circumstances to avoid the reporting of false-positive antimicrobial effects.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.347
Teacher spread0.321 · 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 teacher head, 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

Citations37
Published2018
Admission routes1
Has abstractyes

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