Drug resistant tuberculosis (TB), especially multi-drug resistant TB (MDR-TB), is a major public health threat. The prevalence of MDR-TB is increasing, including recent reports that indicate that some cases of TB are now resistant to all known anti-TB drugs. Treatment of MDR-TB is less effective than for drug susceptible TB, is associated with more severe drug toxicities, is more expensive, and for injectable drugs requires hospitalization. Treatment of MDR-TB in children, in whom TB disease is very different from that in adults, is poorly characterized, if at all. Our group has used the hollow fiber system model of TB (HFS) to show that one of the main reasons for acquired drug resistance (ADR) and therapy failure is the between-patient differences in drug metabolism. In some patients who rapidly and differentially metabolize some drugs, there is created a situation whereby they are effectively under a single drug that is effective, which leads to ADR. Another reason for ADR is that some Mycobacterium tuberculosis (Mtb) lineages have been shown to be hypermutable. In treatment of MDR-TB, a third problem is the high toxicity of drugs, leading to poor completion of therapy. We successfully retrofitted the HFS with 3-dimensional human organotypic liver and skin tissue, so that drug toxicities can be examined at the same time we examine efficacy of regimens against MDR-TB. In addition, we have designed a HFS that is relevant to disseminated intracellular disease in children.
Our aim i s to design an anti-TB regimen comprising of drugs that are (a) off-patent, (b) cheap, (c) readily available, and (d) can be administered by mouth, inthe HFS that will be effective for different Mtb lineages. Efficacy results will be validated usingtwo mouse models, with drug pharmacokinetics similar to those in human adults and children. We will also investigate measuring drug concentrations followed by an iterative intervention with individualized dosing to improve efficacy, reduce ADR, and reduce toxicity, while still being cost-effective in resource poor settings. We will attain our goals by performing a series of HFS experiments for efficacy, ADR, and toxicity in Dr. Gumbo's laboratory at UT Southwestern Medical Center. Next, we will validate the optimal drug regimens in two mouse models, one for adult pulmonary TB and the other for disseminated TB, based on humanized pharmacokinetics in Dr. Eric Nuermberger's laboratory at Johns Hopkins Medical Center. The effects of treatment with chosen drugs on mutation rates of different Mtb lineages will be measured in Dr. Sarah Fortune's lab at Harvard. Results will be employed in computer aided clinical simulations in order to translate dosing strategies to patients.

Public Health Relevance

Multi-drug resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB) are pressing global and public health problems; M/XDR-TB are currently treated with relatively toxic second line drugs for a duration of 2-5 years. Treatment of children with M/XDR-TB has not been standardized; indeed this vulnerable population is often left untreated. This project will design less toxic and more efficacious therap for MDR-TB that will have a duration of ? 6 months for both adults and children; based on a combination of studies in the hollow fiber model; mice; and in silico engineering simulations.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
High Priority, Short Term Project Award (R56)
Project #
7R56AI111985-02
Application #
9012391
Study Section
Special Emphasis Panel (ZAI1-FDS-M (J2))
Program Officer
Boyce, Jim P
Project Start
2014-08-01
Project End
2015-07-31
Budget Start
2014-11-15
Budget End
2015-07-31
Support Year
2
Fiscal Year
2014
Total Cost
$736,025
Indirect Cost
$238,774
Name
Baylor Research Institute
Department
Type
DUNS #
145745022
City
Dallas
State
TX
Country
United States
Zip Code
75204
Srivastava, Shashikant; Magombedze, Gesham; Koeuth, Thearith et al. (2017) Linezolid Dose That Maximizes Sterilizing Effect While Minimizing Toxicity and Resistance Emergence for Tuberculosis. Antimicrob Agents Chemother 61:
Vinnard, Christopher; Ravimohan, Shruthi; Tamuhla, Neo et al. (2017) Isoniazid clearance is impaired among human immunodeficiency virus/tuberculosis patients with high levels of immune activation. Br J Clin Pharmacol 83:801-811
Srivastava, Shashikant; Deshpande, Devyani; Pasipanodya, Jotam et al. (2016) Optimal Clinical Doses of Faropenem, Linezolid, and Moxifloxacin in Children With Disseminated Tuberculosis: Goldilocks. Clin Infect Dis 63:S102-S109
Deshpande, Devyani; Srivastava, Shashikant; Pasipanodya, Jotam G et al. (2016) Linezolid for Infants and Toddlers With Disseminated Tuberculosis: First Steps. Clin Infect Dis 63:S80-S87
Deshpande, Devyani; Srivastava, Shashikant; Nuermberger, Eric et al. (2016) A Faropenem, Linezolid, and Moxifloxacin Regimen for Both Drug-Susceptible and Multidrug-Resistant Tuberculosis in Children: FLAME Path on the Milky Way. Clin Infect Dis 63:S95-S101
Modongo, Chawangwa; Pasipanodya, Jotam G; Magazi, Beki T et al. (2016) Artificial Intelligence and Amikacin Exposures Predictive of Outcomes in Multidrug-Resistant Tuberculosis Patients. Antimicrob Agents Chemother 60:5928-32
Ferro, Beatriz E; Srivastava, Shashikant; Deshpande, Devyani et al. (2016) Moxifloxacin's Limited Efficacy in the Hollow-Fiber Model of Mycobacterium abscessus Disease. Antimicrob Agents Chemother 60:3779-85
Swaminathan, Soumya; Pasipanodya, Jotam G; Ramachandran, Geetha et al. (2016) Drug Concentration Thresholds Predictive of Therapy Failure and Death in Children With Tuberculosis: Bread Crumb Trails in Random Forests. Clin Infect Dis 63:S63-S74
Srivastava, Shashikant; Modongo, Chawanga; Siyambalapitiyage Dona, Chandima W et al. (2016) Amikacin Optimal Exposure Targets in the Hollow-Fiber System Model of Tuberculosis. Antimicrob Agents Chemother 60:5922-7
Srivastava, Shashikant; Deshpande, Devyani; Pasipanodya, Jotam G et al. (2016) A Combination Regimen Design Program Based on Pharmacodynamic Target Setting for Childhood Tuberculosis: Design Rules for the Playground. Clin Infect Dis 63:S75-S79

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