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Record W2114532266 · doi:10.1093/jac/dku037

Measurements of the in vitro anti-mycobacterial activity of ivermectin are method-dependent

2014· letter· en· W2114532266 on OpenAlexaff
Santiago Ramón‐García, Catherine Vilchèze, Louis Lim, C. Ng, William R. Jacobs, Charles J. Thompson

Bibliographic record

VenueJournal of Antimicrobial Chemotherapy · 2014
Typeletter
Languageen
FieldVeterinary
TopicHelminth infection and control
Canadian institutionsVancouver Hospital and Health Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsTuberculosisMycobacterium tuberculosisIn vivoAntimycobacterialSputumMicrobiologyIn vitroDrugAntimicrobialBiologyAgarAntibioticsMedicinePharmacologyBacteriaBiotechnologyPathology

Abstract

fetched live from OpenAlex

Sir, We recently discovered surprising in vitro activities of avermectins against Mycobacterium tuberculosis. The conclusions of our report were based on conventional antimicrobial assays against representative M. tuberculosis strains, including drug-resistant clinical isolates. The antimycobacterial activities of avermectins, commonly used to treat helminthic (nematode) infections, may have important clinical implications for tuberculosis therapy. Muhammed Ameen and Drancourt subsequently questioned our work based on a small set of data that detected low activity for ivermectin. While they interpreted their MIC results as being largely contradictory to our data and conclusions, they did not replicate our experiments in broth but instead adopted a different methodology based on bacterial growth on a solid surface (agar reference proportion method). This method is standardized for drug susceptibility comparisons of clinical isolates but not for drug screening. In fact, it was originally optimized to recover maximal numbers of bacteria from sputum samples. It is clear that neither broth nor agar surface-based assays accurately reflect the complex environment of M. tuberculosis residing in human lungs; as a result, the MICs of drugs measured in vitro often do not correlate well with in vivo protective activity. While there is an urgent need for new drugs to treat tuberculosis, it is still unclear what media or culture conditions are most predictive of in vivo activity when screening compound libraries. Therefore, we believe that it is premature to rule out a new potential antituberculosis drug candidate based on a single method using 11 M. tuberculosis isolates from French clinics. Our studies were carried out in two different laboratories using 36 mycobacterial strains (laboratory and clinical isolates) from at least five different geographical locations. We used microdilution broth methods coupled to the MTT assay and two independent kinetic kill curve experiments (dose–response and time dependence) to evaluate the activities of avermectins. The MTTassay directly measures metabolic activity. It correlates well with the reference proportion and other well-established methods for determining the MICs of drugs. – 7 An additional misunderstanding relates to the use of the term MIC90 to describe dose– response experiments. The term MIC90, widely used in both drug development (including tuberculosis drug development) and clinical studies, has different meanings in these fields and therefore must be interpreted in context. In our drug discovery studies, we used MIC90 in a conventional manner to describe minimal inhibitory drug concentrations for single strains/isolates (MIC90 indicates 90% growth inhibition). In addition, contrary to the allegations of Muhammed Ameen and Drancourt, we did not interpret these MIC90 values as proof that these strains were clinically ‘susceptible’ to avermectins. Instead, we used this standardized analysis to better understand the in vitro antimycobacterial activities of avermectins, which are bactericidal and exposure dependent, a characteristic of the most effective antibiotics. We would like to avoid such misunderstandings between colleagues addressing clinical or drug development challenges. To resolve this issue, we rigorously assayed the activity of ivermectin using the experimental conditions described by Muhammed Ameen and Drancourt in parallel with our methodology. We reconfirmed our MTT results and were also able to reproduce their data showing that the MIC of ivermectin was much higher in solid media compared with liquid media (Table 1). Similar results were obtained by Dr Norio Doi using agar dilution and 7H9 microdilution methods on 30 clinical M. tuberculosis isolates, including 10 that were drug resistant and the reference H37Rv strain (Dr Norio Doi, Research Institute of Tuberculosis, Japan, personal communication). The unambiguous conclusion of Muhammed Ameen and Drancourt, that ‘ivermectin lacks antituberculous activity’, was also based on an oversimplified interpretation of ivermectin’s pharmacokinetic properties. We agree that the low peak plasma concentrations of ivermectin after single oral dose administration (in the ng/mL range) to treat nematode infections and potential toxicity at higher dosages could jeopardize the development of ivermectin as an antituberculosis drug. However, since antibacterial activity is correlated with drug concentrations at the site of infection, the localization of tuberculosis infections in pulmonary tissue could minimize the relevance of ivermectin plasma concentrations. In addition, avermectins might even be more active against intracellular M. tuberculosis; ivermectin was recently reported to inhibit the obligate intracellular bacteria Chlamydia

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.054
GPT teacher head0.314
Teacher spread0.260 · 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.

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

Citations6
Published2014
Admission routes1
Has abstractyes

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