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Record W2113544625 · doi:10.1093/jac/dkg329

Analysis of dual active fluoroquinolones in Streptococcus pneumoniae

2003· letter· en· W2113544625 on OpenAlexaff
L. Mark Fisher

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2003
Typeletter
Languageen
FieldMedicine
TopicAntibiotics Pharmacokinetics and Efficacy
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsStreptococcus pneumoniaeMicrobiologyAntibacterial agentMedicineBiologyAntibiotics

Abstract

fetched live from OpenAlex

Sir, A recent review by Smith et al.1 and associated correspondence2,3 raised important unresolved issues regarding which quinolones exert dual activity through gyrase and topoisomerase IV in Streptococcus pneumoniae. Dual action involves the substantial engagement of both enzyme killing pathways and is of particular interest in potentially limiting the emergence of resistance. Smith et al.3 concur with us2 that genetic studies are very important in identifying dual active drugs and agree that clinafloxacin is one such agent.1 Our original assignment of clinafloxacin as the archetypal dual action quinolone was based on genetic criteria:4 (i) that gyrA or parC resistance mutations each had minimal (∼two-fold) effects on clinafloxacin MICs but higher level resistance was seen for gyrAparC mutants, and (ii) that gyrA mutants could be selected with drug but only at the MIC and at low frequency (10–9 to 10–10). These findings are consistent with both gyrase and topoisomerase IV contributing substantially to drug action in vivo. We wish to point out that gemifloxacin, gatifloxacin and moxifloxacin share these same features5–9 and therefore, based on the clinafloxacin paradigm, should also be considered as dual active. The view of Smith et al.3 that gemifloxacin, gatifloxacin and moxifloxacin are not dual active derives from two arguments involving laboratory strains and clinical isolates, both of which are problematic. In the case of laboratory strains, Smith et al.3 report their unpublished observations that gyrA or parC mutants can be obtained by challenge with each of the quinolones. They comment that such mutants should not be recoverable (for dual action drugs) based on our suggestions ‘that with clinafloxacin, gatifloxacin, gemifloxacin and moxifloxacin, there is no increase in MIC observed with S. pneumoniae isolates that have either a parC or gyrA mutation alone’ and that ‘the mutants must have mutations in both gyrA and parC’. We do not make the attributed statements.2 Indeed, as with clinafloxacin,4 it is well known that either a gyrA or a parC change confers a small (∼two-fold) increase in MIC for gemifloxacin, gatifloxacin and moxifloxacin.5–8 Presumably, even when both targets are comparably engaged by a dual active drug, a mutation in one target increases the drug concentration needed to register drug effects through the other target, e.g. by requiring increased cleavable complex levels. Moreover, as with clinafloxacin,4 it is documented that gemifloxacin, gatifloxacin and moxifloxacin select single-step gyrA mutants displaying an ∼two-fold MIC increase.5–8 Recovery of gyrA (rather than parC) mutants may indicate that growth inhibition through gyrase is marginally more favoured for these agents. At all events, the crucial issue for dual activity is that parC and gyrA mutations have similarly small effects on MICs and that mutants are recovered only in a narrow drug concentration range (at or near the MIC), at low frequency, and exhibit minimal resistance. At least from published accounts, these features are met by gemifloxacin, gatifloxacin and moxifloxacin.5–9 The unpublished work of Smith et al.3 selecting single gyrA mutants ‘highly resistant’ to gatifloxacin and moxifloxacin and of parC mutants with gemifloxacin is intriguing but will require evaluation in the context of other studies. Interestingly, further support for dual activity comes from the finding that S79F ParC or S81F GyrA mutations reduce enzymic DNA cleavage induced by clinafloxacin, gemifloxacin, gatifloxacin and moxifloxacin by some 8- to 64-fold in vitro (see Ref. 2, K. A. Gould and L. M. Fisher, unpublished results) but in terms of resistance in vivo, these effects are moderated to ∼two-fold by drug action on the other target. The second argument of Smith et al.3 against dual activity is based on the MICs of resistant S. pneumoniae clinical isolates, but is unpersuasive. By directly correlating quinolone MICs with parC/gyrA status, they conclude that a single parC mutation gives a spread of MIC increases to gatifloxacin and moxifloxacin in clinical strains, and moreover, that the presence of a single gyrA mutation results in dramatic MIC increases. Unfortunately, clinical isolates are heterogeneous and may carry multiple resistance mutations that confound the interpretation of MICs. Therefore, large MIC increases observed for clinical strains cannot be confidently attributed wholly to parC or gyrA alterations and used to argue against dual activity. Though we agree it is very important to understand quinolone resistance arising in the clinical setting,3 there are difficulties in drawing unambiguous conclusions about drug action from such studies. Stepwise-selected laboratory mutants bearing well-characterized resistance mutations will continue to play a key role in guiding the analysis of dual activity and other mechanistic aspects of quinolone action. Corresponding author. Tel: +44-208-725-5782; Fax: +44-208-725-2992; E-mail: lfisher@sghms.ac.uk 1Molecular Genetics Group, Department of Basic Medical Sciences—Biochemistry and Immunology, St. George’s Hospital Medical School, University of London, Cranmer Terrace, London SW17 0RE; 2Pfizer Ltd, Walton Oaks, Dorking Road, Tadworth, Surrey KT20 7NS, UK

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.001
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 head0.015
GPT teacher head0.288
Teacher spread0.273 · 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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Citations18
Published2003
Admission routes1
Has abstractno

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