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Record W2132492551 · doi:10.1093/jac/dkg255

Stretching the mutant prevention concentration (MPC) beyond its limits

2003· review· en· W2132492551 on OpenAlexaff
Heather J. Smith

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2003
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMutantChemistryMicrobiologyMedicineBiologyBiochemistry

Abstract

fetched live from OpenAlex

Antibiotic resistance is increasingly recognized as a serious global problem. The mutant prevention concentration (MPC) is a novel concept1 that has been employed in the evaluation of an antibiotic’s ability to minimize or limit the development of resistant organisms.2 The MPC has been defined as the MIC of the least susceptible single-step mutant.1,2 By definition, cell growth in the presence of antibiotic concentrations greater than the MPC requires an organism to have developed two or more resistance-causing spontaneous chromosomal point mutations.1,2 The MPC concept may have potential use in the evaluation of various fluoroquinolones’ abilities to limit the selection of resistant mutants, because resistance mutations observed in the clinical setting are the same mutations observed in the laboratory setting when performing MPC studies (i.e. development of spontaneous chromosomal point mutations). The majority of data published on the fluoroquinolones has been regarding their activity against Streptococcus pneumoniae, Staphylococcus aureus and Mycobacterium spp.1,2 Recently, MPC research has been carried out with other classes of agents, such as the β-lactam antibiotics, macrolides and aminoglycosides.3–7 However, the primary resistance mechanisms for these antibiotics are not the development of spontaneous chromosomal point mutations (Table 1), but the acquisition of foreign DNA. It is essential that the mechanisms of resistance development, both biochemical and genetic, be considered prior to the application of the MPC to classes of antibiotics other than the fluoroquinolones. Recently, MPCs have been reported for β-lactam antibiotics in studies conducted with Acinetobacter baumannii, Citrobacter freundii, Enterobacter cloacae, Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, S. aureus and Stenotrophomonas maltophilia.3,4,6 As β-lactam resistance is primarily attributed to the presence of β-lactamases, the MPCs that are obtained do not accurately reflect the in vivo resistance mechanisms (Table 1). MPC studies of aminoglycosides have been conducted with organisms including A. baumannii, C. freundii, E. cloacae, E. coli, K. pneumoniae, P. aeruginosa, S. aureus and S. maltophilia.3,4,6 Aminoglycoside resistance is primarily attributed to the presence of inactivating enzymes that are acquired.9,10 Thus, the MPCs that are obtained during studies with aminoglycosides do not accurately reflect in vivo resistance mechanisms (Table 1). As with the β-lactam antibiotics, MPC studies with aminoglycosides evaluate mechanisms of resistance that are not truly indicative of the primary resistance mechanism which occurs in the clinical setting. Akins et al.3,4 reported this occurrence, as they were able to establish a correlation between MICs and MPCs for the fluoroquinolones but not for the β-lactam antibiotics or aminoglycosides. These authors concluded that MPCs are not predictive of the activity of aminoglycosides and β-lactam antibiotics.3,4 In addition, MPCs have been determined for macrolides with S. pneumoniae.7 The results of MPC studies with macrolides report that a variety of mutations developed in the erm(B) and mef(A)/(E) genes.7 The resulting MPCs are based on the development of mutations within the resistance genes; however, it is the acquisition of the erm(B) or mef(A)/(E) genes themselves from other organisms that results in clinically observed resistance. Thus, MPC studies of macrolides do not evaluate the resistance mechanisms observed in clinical isolates. As antimicrobial resistance increases worldwide, there is a great need to develop methods to limit its further spread. The MPC is a concept that has been developed in the hope of altering dosing regimes such that the growth of resistant organisms could be curtailed. The application of this novel concept during antibiotic therapy may have the potential to limit resistance development for antibiotic–organism pairings in which the in vivo mechanisms of resistance correspond with those evaluated in in vitro MPC studies, i.e. spontaneous point mutations. However, caution must prevail in the utility of MPC studies conducted on antibiotic–organism pairings in which other mechanisms, such as the presence of inactivating enzymes and efflux, are the primary cause of resistance. Knowledge of both the biochemical (efflux, decreased cellular uptake, β-lactamases) and genetic (spontaneous chromosomal point mutations or uptake of exogenous DNA) mechanisms of resistance primarily attributing to a particular organism’s development of resistance is required prior to determining MPCs. The ideal situation for evaluating an MPC requires an organism–antibiotic pairing to have the development of spontaneous chromosomal point mutations as its primary resistance mechanism. This is currently only the case with the fluoroquinolones. Conversely, an MPC study conducted with β-lactam antibiotics and an organism the primary resistance mechanism of which is the acquisition of β-lactamases is not able to evaluate the organism’s ability to acquire a β-lactamase and become resistant. Thus, a study such as this or one conducted with aminoglycosides or macrolides would not be indicative of a particular agent’s ability to limit the development of resistant organisms. The MPC concept can only be applied to situations in which the evaluated resistance mechanisms are the same as those observed in the clinical setting. Only then may the MPC be a tool by which the development of resistant organisms can be limited. Correspondence address. Clinical Microbiology, Health Sciences Centre, MS673–820 Sherbrook Street, Winnipeg, Manitoba, Canada R3A 1R9. Tel: +1-204-787-4684; Fax: +1-204-787-4699; E-mail: smithhj14@hotmail.com Applicability of MPC studies for various antibiotic classes based on their primary mechanisms of resistance aNot applicable if due to acquisition of β-lactamase. Not known whether MPC study reflects induction or derepression as observed in clinical isolates. Applicability of MPC studies for various antibiotic classes based on their primary mechanisms of resistance aNot applicable if due to acquisition of β-lactamase. Not known whether MPC study reflects induction or derepression as observed in clinical isolates. 1Department of Medical Microbiology, Faculty of Medicine, University of Manitoba, Manitoba; Departments of 2Clinical Microbiology and 3Medicine, Health Sciences Centre, Winnipeg, Manitoba, Canada

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.023
GPT teacher head0.305
Teacher spread0.282 · 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 designNot applicable
Domainnot available
GenreReview

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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Citations72
Published2003
Admission routes1
Has abstractno

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