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Record W2065328114 · doi:10.1016/j.ijid.2014.03.841

Repurposing avermectins as new potential TB therapies

2014· article· en· W2065328114 on OpenAlexaff
Santiago Ramón‐García, Gaye Sweet, Anne J. Lenaerts, Christopher Thompson

Bibliographic record

VenueInternational Journal of Infectious Diseases · 2014
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIvermectinPharmacologyMedicinePharmacokineticsMoxidectinIn vivoTuberculosisDrugRepurposingPharmacodynamicsMycobacterium tuberculosisBiologyVeterinary medicinePathologyBiotechnology

Abstract

fetched live from OpenAlex

Background: Tuberculosis (TB) is a major cause of morbidity and mortality worldwide. Co-infection with HIV and the emergence of drug-resistant Mycobacterium tuberculosis strains (MDR-and XDR-TB) has reaffirmed TB as a global public health threat. New therapies are urgently needed. An alternative approach to generate new TB treatment options in a timely and cost-effective manner is “repurposing” clinically used drugs with known pharmaceutical properties. In the course of a screening program [PMID: 21576426], we identified the in vitro anti-tuberculosis activity of the anthelmintic avermectins (ivermectin, selamectin, moxidectin and doramectin) [PMID: 23165468]. Methods & Materials: We performed a literature search on the pharmacological properties of the avermectins. We integrated this information with our in vitro data and calculated a theoretical pharmacodynamic value (AUC/MIC; a measure of drug exposure) to define potential in vivo efficacy. We validated our analysis by evaluating avermectins in an in vivo model of M. tuberculosis infection. Results: An AUC/MIC ratio of 10 to 15 was calculated for bactericidal activity of the avermectins. Due to tolerability and pharmacokinetic issues the low maximal plasma concentrations of ivermectin (ng/mL range) resulted in a low calculated exposure (AUC/MIC < 1). Moxidectin had a longer half-life than ivermectin and, therefore, the calculated AUC/MIC ratios increased. However, this was still not enough to provide theoretical in vivo activity. In contrast, selamectin's pharmacokinetic properties suggest that it might be effective in vivo against M. tuberculosis; high plasma concentrations (μg/mL range), low toxicity (LD50 >1,600 mg/kg bw), and theoretical AUC/MIC ratios are consistent with potential in vivo activity. Interestingly, reported concentrations of selamectin in the lungs (the main site where M. tuberculosis resides) were ca. 2-fold higher than in plasma, suggesting even higher AUC/MIC ratios at the site of infection. We therefore tested ivermectin and selamectin for in vivo activity against M. tuberculosis. Our predictions were consistent with the in vivo data; while ivermectin at the highest possible safe dose did not have anti-mycobacterial activity in vivo, selamectin was active. Conclusion: This theoretical data analysis supports the potential of selamectin for TB therapy, including MDR- and XDR-TB, and warrant further in vivo testing in mouse infection models.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.011
GPT teacher head0.330
Teacher spread0.319 · 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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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