Literature DB >> 30496458

Artificial intelligence-derived 3-Way Concentration-dependent Antagonism of Gatifloxacin, Pyrazinamide, and Rifampicin During Treatment of Pulmonary Tuberculosis.

Jotam G Pasipanodya1, Wynand Smythe2, Corinne S Merle3,4, Piero L Olliaro4, Devyani Deshpande1, Gesham Magombedze1, Helen McIlleron2, Tawanda Gumbo1.   

Abstract

Background: In the experimental arm of the OFLOTUB trial, gatifloxacin replaced ethambutol in the standard 4-month regimen for drug-susceptible pulmonary tuberculosis. The study included a nested pharmacokinetic (PK) study. We sought to determine if PK variability played a role in patient outcomes.
Methods: Patients recruited in the trial were followed for 24 months, and relapse ascertained using spoligotyping. Blood was drawn for drug concentrations on 2 separate days during the first 2 months of therapy, and compartmental PK analyses was performed. Failure to attain sustained sputum culture conversion at the end of treatment, relapse, or death during follow-up defined therapy failure. In addition to standard statistical analyses, we utilized an ensemble of machine-learning methods to identify patterns and predictors of therapy failure from among 27 clinical and laboratory features.
Results: Of 126 patients, 95 (75%) had favorable outcomes and 19 (15%) failed therapy, relapsed, or died. Pyrazinamide and rifampicin peak concentrations and area under the concentration-time curves (AUCs) were ranked higher (more important) than gatifloxacin AUCs. The distribution of individual drug concentrations and their ranking varied significantly between South African and West African trial sites; however, drug concentrations still accounted for 31% and 75% of variance of outcomes, respectively. We identified a 3-way antagonistic interaction of pyrazinamide, gatifloxacin, and rifampicin concentrations. These negative interactions disappeared if rifampicin peak concentration was above 7 mg/L. Conclusions: Concentration-dependent antagonism contributed to death, relapse, and therapy failure but was abrogated by high rifampicin concentrations. Therefore, increasing both rifampin and gatifloxacin doses could improve outcomes. Clinical Trials Registration: NCT00216385.

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Year:  2018        PMID: 30496458      PMCID: PMC6904294          DOI: 10.1093/cid/ciy610

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  40 in total

1.  Biological variability and the emergence of multidrug-resistant tuberculosis.

Authors:  Tawanda Gumbo
Journal:  Nat Genet       Date:  2013-07       Impact factor: 38.330

Review 2.  Pharmacokinetic-pharmacodynamic and dose-response relationships of antituberculosis drugs: recommendations and standards for industry and academia.

Authors:  Tawanda Gumbo; Iñigo Angulo-Barturen; Santiago Ferrer-Bazaga
Journal:  J Infect Dis       Date:  2015-06-15       Impact factor: 5.226

3.  Shorter moxifloxacin-based regimens for drug-sensitive tuberculosis.

Authors:  Jan-Willem Alffenaar; Tawanda Gumbo; Rob Aarnoutse
Journal:  N Engl J Med       Date:  2015-02-05       Impact factor: 91.245

4.  Impact of nonlinear interactions of pharmacokinetics and MICs on sputum bacillary kill rates as a marker of sterilizing effect in tuberculosis.

Authors:  Emmanuel Chigutsa; Jotam G Pasipanodya; Marianne E Visser; Paul D van Helden; Peter J Smith; Frederick A Sirgel; Tawanda Gumbo; Helen McIlleron
Journal:  Antimicrob Agents Chemother       Date:  2014-10-13       Impact factor: 5.191

5.  Determinants of rifampin, isoniazid, pyrazinamide, and ethambutol pharmacokinetics in a cohort of tuberculosis patients.

Authors:  Helen McIlleron; Peter Wash; André Burger; Jennifer Norman; Peter I Folb; Pete Smith
Journal:  Antimicrob Agents Chemother       Date:  2006-04       Impact factor: 5.191

6.  A semimechanistic pharmacokinetic-enzyme turnover model for rifampin autoinduction in adult tuberculosis patients.

Authors:  Wynand Smythe; Akash Khandelwal; Corinne Merle; Roxana Rustomjee; Martin Gninafon; Mame Bocar Lo; Oumou Bah Sow; Piero L Olliaro; Christian Lienhardt; John Horton; Peter Smith; Helen McIlleron; Ulrika S H Simonsson
Journal:  Antimicrob Agents Chemother       Date:  2012-01-17       Impact factor: 5.191

7.  Paradoxical effect of isoniazid on the activity of rifampin-pyrazinamide combination in a mouse model of tuberculosis.

Authors:  Deepak Almeida; Eric Nuermberger; Rokeya Tasneen; Ian Rosenthal; Sandeep Tyagi; Kathy Williams; Charles Peloquin; Jacques Grosset
Journal:  Antimicrob Agents Chemother       Date:  2009-07-20       Impact factor: 5.191

8.  Shortening Tuberculosis Treatment With Fluoroquinolones: Lost in Translation?

Authors:  Jean-Philippe Lanoix; Richard E Chaisson; Eric L Nuermberger
Journal:  Clin Infect Dis       Date:  2015-11-01       Impact factor: 9.079

9.  Drug Concentration Thresholds Predictive of Therapy Failure and Death in Children With Tuberculosis: Bread Crumb Trails in Random Forests.

Authors:  Soumya Swaminathan; Jotam G Pasipanodya; Geetha Ramachandran; A K Hemanth Kumar; Shashikant Srivastava; Devyani Deshpande; Eric Nuermberger; Tawanda Gumbo
Journal:  Clin Infect Dis       Date:  2016-11-01       Impact factor: 9.079

10.  Linezolid Dose That Maximizes Sterilizing Effect While Minimizing Toxicity and Resistance Emergence for Tuberculosis.

Authors:  Shashikant Srivastava; Gesham Magombedze; Thearith Koeuth; Carleton Sherman; Jotam G Pasipanodya; Prithvi Raj; Edward Wakeland; Devyani Deshpande; Tawanda Gumbo
Journal:  Antimicrob Agents Chemother       Date:  2017-07-25       Impact factor: 5.191

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  7 in total

Review 1.  Quantitative assessment of the activity of antituberculosis drugs and regimens.

Authors:  Maxwell T Chirehwa; Gustavo E Velásquez; Tawanda Gumbo; Helen McIlleron
Journal:  Expert Rev Anti Infect Ther       Date:  2019-05-30       Impact factor: 5.091

2.  Dynamic PET-facilitated modeling and high-dose rifampin regimens for Staphylococcus aureus orthopedic implant-associated infections.

Authors:  Oren Gordon; Donald E Lee; Bessie Liu; Brooke Langevin; Alvaro A Ordonez; Dustin A Dikeman; Babar Shafiq; John M Thompson; Paul D Sponseller; Kelly Flavahan; Martin A Lodge; Steven P Rowe; Robert F Dannals; Camilo A Ruiz-Bedoya; Timothy D Read; Charles A Peloquin; Nathan K Archer; Lloyd S Miller; Kimberly M Davis; Jogarao V S Gobburu; Sanjay K Jain
Journal:  Sci Transl Med       Date:  2021-12-01       Impact factor: 17.956

3.  Dynamic imaging in patients with tuberculosis reveals heterogeneous drug exposures in pulmonary lesions.

Authors:  Alvaro A Ordonez; Hechuan Wang; Gesham Magombedze; Camilo A Ruiz-Bedoya; Shashikant Srivastava; Allen Chen; Elizabeth W Tucker; Michael E Urbanowski; Lisa Pieterse; E Fabian Cardozo; Martin A Lodge; Maunank R Shah; Daniel P Holt; William B Mathews; Robert F Dannals; Jogarao V S Gobburu; Charles A Peloquin; Steven P Rowe; Tawanda Gumbo; Vijay D Ivaturi; Sanjay K Jain
Journal:  Nat Med       Date:  2020-02-17       Impact factor: 53.440

4.  Integrating Pharmacokinetics and Pharmacodynamics in Operational Research to End Tuberculosis.

Authors:  Jan-Willem C Alffenaar; Tawanda Gumbo; Kelly E Dooley; Charles A Peloquin; Helen Mcilleron; Andre Zagorski; Daniela M Cirillo; Scott K Heysell; Denise Rossato Silva; Giovanni Battista Migliori
Journal:  Clin Infect Dis       Date:  2020-04-10       Impact factor: 9.079

Review 5.  Visualizing the dynamics of tuberculosis pathology using molecular imaging.

Authors:  Alvaro A Ordonez; Elizabeth W Tucker; Carolyn J Anderson; Claire L Carter; Shashank Ganatra; Deepak Kaushal; Igor Kramnik; Philana L Lin; Cressida A Madigan; Susana Mendez; Jianghong Rao; Rada M Savic; David M Tobin; Gerhard Walzl; Robert J Wilkinson; Karen A Lacourciere; Laura E Via; Sanjay K Jain
Journal:  J Clin Invest       Date:  2021-03-01       Impact factor: 14.808

6.  Repurposing Cefazolin-Avibactam for the Treatment of Drug Resistant Mycobacterium tuberculosis.

Authors:  Shashikant Srivastava; Tawanda Gumbo; Tania Thomas
Journal:  Front Pharmacol       Date:  2021-10-22       Impact factor: 5.810

7.  Machine learning reveals that Mycobacterium tuberculosis genotypes and anatomic disease site impacts drug resistance and disease transmission among patients with proven extra-pulmonary tuberculosis.

Authors:  Doctor B Sibandze; Beki T Magazi; Lesibana A Malinga; Nontuthuko E Maningi; Bong-Akee Shey; Jotam G Pasipanodya; Nontombi N Mbelle
Journal:  BMC Infect Dis       Date:  2020-07-31       Impact factor: 3.090

  7 in total

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