Rob C van Wijk1,2, Wanbin Hu3, Sharka M Dijkema1, Dirk-Jan van den Berg1, Jeremy Liu1, Rida Bahi1, Fons J Verbeek4, Ulrika S H Simonsson2, Herman P Spaink3, Piet H van der Graaf1,5, Elke H J Krekels1. 1. Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands. 2. Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden. 3. Division of Animal Sciences and Health, Institute of Biology Leiden, Leiden University, Leiden, The Netherlands. 4. Imaging and Bioinformatics Group, Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands. 5. QSP, Certara, Canterbury, UK.
Abstract
BACKGROUND AND PURPOSE: There is a clear need for innovation in anti-tuberculosis drug development. The zebrafish larva is an attractive disease model in tuberculosis research. To translate pharmacological findings to higher vertebrates, including humans, the internal exposure of drugs needs to be quantified and linked to observed response. EXPERIMENTAL APPROACH: In zebrafish studies, drugs are usually dissolved in the external water, posing a challenge to quantify internal exposure. We developed experimental methods to quantify internal exposure, including nanoscale blood sampling, and to quantify the bacterial burden, using automated fluorescence imaging analysis, with isoniazid as the test compound. We used pharmacokinetic-pharmacodynamic modelling to quantify the exposure-response relationship responsible for the antibiotic response. To translate isoniazid response to humans, quantitative exposure-response relationships in zebrafish were linked to simulated concentration-time profiles in humans, and two quantitative translational factors on sensitivity to isoniazid and stage of infection were included. KEY RESULTS: Blood concentration was only 20% of the external drug concentration. The bacterial burden increased exponentially, and an isoniazid dose corresponding to 15 mg·L-1 internal concentration (minimum inhibitory concentration) leads to bacteriostasis of the mycobacterial infection in the zebrafish. The concentration-effect relationship was quantified, and based on that relationship and the translational factors, the isoniazid response was translated to humans, which correlated well with observed data. CONCLUSIONS AND IMPLICATIONS: This proof of concept study confirmed the potential of zebrafish larvae as tuberculosis disease models in translational pharmacology and contributes to innovative anti-tuberculosis drug development, which is very clearly needed.
BACKGROUND AND PURPOSE: There is a clear need for innovation in anti-tuberculosis drug development. The zebrafish larva is an attractive disease model in tuberculosis research. To translate pharmacological findings to higher vertebrates, including humans, the internal exposure of drugs needs to be quantified and linked to observed response. EXPERIMENTAL APPROACH: In zebrafish studies, drugs are usually dissolved in the external water, posing a challenge to quantify internal exposure. We developed experimental methods to quantify internal exposure, including nanoscale blood sampling, and to quantify the bacterial burden, using automated fluorescence imaging analysis, with isoniazid as the test compound. We used pharmacokinetic-pharmacodynamic modelling to quantify the exposure-response relationship responsible for the antibiotic response. To translate isoniazid response to humans, quantitative exposure-response relationships in zebrafish were linked to simulated concentration-time profiles in humans, and two quantitative translational factors on sensitivity to isoniazid and stage of infection were included. KEY RESULTS: Blood concentration was only 20% of the external drug concentration. The bacterial burden increased exponentially, and an isoniazid dose corresponding to 15 mg·L-1 internal concentration (minimum inhibitory concentration) leads to bacteriostasis of the mycobacterial infection in the zebrafish. The concentration-effect relationship was quantified, and based on that relationship and the translational factors, the isoniazid response was translated to humans, which correlated well with observed data. CONCLUSIONS AND IMPLICATIONS: This proof of concept study confirmed the potential of zebrafish larvae as tuberculosis disease models in translational pharmacology and contributes to innovative anti-tuberculosis drug development, which is very clearly needed.
Authors: Paul Morgan; Piet H Van Der Graaf; John Arrowsmith; Doug E Feltner; Kira S Drummond; Craig D Wegner; Steve D A Street Journal: Drug Discov Today Date: 2011-12-29 Impact factor: 7.851
Authors: Vasudev Kantae; Elke H J Krekels; Anita Ordas; Oskar González; Rob C van Wijk; Amy C Harms; Peter I Racz; Piet H van der Graaf; Herman P Spaink; Thomas Hankemeier Journal: Zebrafish Date: 2016-09-15 Impact factor: 1.985
Authors: J L Johnson; D J Hadad; W H Boom; C L Daley; C A Peloquin; K D Eisenach; D D Jankus; S M Debanne; E D Charlebois; E Maciel; M Palaci; R Dietze Journal: Int J Tuberc Lung Dis Date: 2006-06 Impact factor: 2.373
Authors: L Li; C S Mahan; M Palaci; L Horter; L Loeffelholz; J L Johnson; R Dietze; S M Debanne; M L Joloba; A Okwera; W H Boom; K D Eisenach Journal: J Clin Microbiol Date: 2009-11-18 Impact factor: 5.948
Authors: Thomas Schön; Pontus Juréen; Christian G Giske; Erja Chryssanthou; Erik Sturegård; Jim Werngren; Gunnar Kahlmeter; Sven E Hoffner; Kristian A Angeby Journal: J Antimicrob Chemother Date: 2009-07-23 Impact factor: 5.790
Authors: A K Hemanth Kumar; T Kannan; V Chandrasekaran; V Sudha; A Vijayakumar; K Ramesh; J Lavanya; S Swaminathan; G Ramachandran Journal: Int J Tuberc Lung Dis Date: 2016-09 Impact factor: 2.373
Authors: Sebastian G Wicha; Oskar Clewe; Robin J Svensson; Stephen H Gillespie; Yanmin Hu; Anthony R M Coates; Ulrika S H Simonsson Journal: Clin Pharmacol Ther Date: 2018-06-19 Impact factor: 6.875
Authors: Rob C van Wijk; Elke H J Krekels; Vasudev Kantae; Amy C Harms; Thomas Hankemeier; Piet H van der Graaf; Herman P Spaink Journal: Sci Rep Date: 2019-02-15 Impact factor: 4.379
Authors: Rob C van Wijk; Wanbin Hu; Sharka M Dijkema; Dirk-Jan van den Berg; Jeremy Liu; Rida Bahi; Fons J Verbeek; Ulrika S H Simonsson; Herman P Spaink; Piet H van der Graaf; Elke H J Krekels Journal: Br J Pharmacol Date: 2020-11-03 Impact factor: 8.739
Authors: Jaydeep Yadav; Mehdi El Hassani; Jasleen Sodhi; Volker M Lauschke; Jessica H Hartman; Laura E Russell Journal: Drug Metab Rev Date: 2021-05-25 Impact factor: 6.984
Authors: Eva Habjan; Vien Q T Ho; James Gallant; Gunny van Stempvoort; Kin Ki Jim; Coen Kuijl; Daan P Geerke; Wilbert Bitter; Alexander Speer Journal: Dis Model Mech Date: 2021-12-23 Impact factor: 5.758