SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Pharmacokinetics of TKM-130803 in Sierra Leonean patients with Ebola virus disease:  plasma concentrations exceed target levels, with drug accumulation in the most severe patients.

Scott, JT; Sharma, R; Meredith, LW; Dunning, J; Moore, CE; Sahr, F; Ward, S; Goodfellow, I; Horby, P; RAPIDE-TKM trial team (2020) Pharmacokinetics of TKM-130803 in Sierra Leonean patients with Ebola virus disease:  plasma concentrations exceed target levels, with drug accumulation in the most severe patients. EBioMedicine, 52. p. 102601. ISSN 2352-3964 https://doi.org/10.1016/j.ebiom.2019.102601
SGUL Authors: Moore, Catrin Elisabeth

[img]
Preview
PDF Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview
[img] Microsoft Word (.docx) (Supplementary materials) Published Version
Available under License Creative Commons Attribution.

Download (2MB)

Abstract

BACKGROUND: TKM-130803 is a specific anti-EBOV therapeutic comprised of two small interfering RNAs (siRNA) siLpol-2 and siVP35-2. The pharmacokinetics (PK) of these siRNAs was defined in Ebola virus disease (EVD) patients, with reference to efficacy (ET) and toxicology thresholds (TT). The relationship between PK and patient survival was explored. METHODS: Pharmacokinetic (PK) and pharmacodynamic (PD) data were available for seven participants with EVD in Sierra Leone who received 0·3 mg/kg of TKM-130803 by intravenous infusion over 2 h daily for up to 7 days. Plasma concentration of siRNA was compared to survival at 14 days. PK data were fitted to two-compartment models then Monte Carlo simulated PK profiles were compared to ET (Cmax 0·04-0·57 ng/mL and mean concentration 1·43 ng/mL), and TT (3000 ng/mL). FINDINGS: Viral loads (VL) were not significantly different at treatment onset or during treatment (p = 0·1) in subjects who survived or died. siRNA was in quantitative excess of virus genomes throughout treatment, but the 95% percentile exceeded TT. The maximum AUC for which the 95% percentile remained under TT was a continuous infusion of 0·15 mg/kg/day. Plasma concentration of both siRNAs were higher in subjects who died compared to subjects who survived (p<0·025 both siRNAs). INTERPRETATION: TKM-130803 was circulating in molar excess of circulating virus; a level considered needed for efficacy. Given extremely high viral loads it seems likely that the patients died because they were physiologically beyond the point of no return. Subjects who died exhibited some indication of impaired drug clearance, justifying caution in dosing strategies for such patients. This analysis has given a useful insight into the pharmacokinetics of the siRNA in the disease state and illustrates the value of designing PKPD studies into future clinical trials in epidemic situations. FUNDING: This work was supported by the Wellcome Trust of Great Britain (grant number 106491/Z/14/Z and 097997/Z/11/A) and by the EU FP7 project PREPARE (602525). The PHE laboratory was funded by the UK Department for International Development. The funders had no role in trial design, data collection or analysis. The views expressed are those of the authors and not necessarily those of Public Health England, the Department of Health, or the EU. TRIAL REGISTRATION: Pan African Clinical Trials Registry PACTR201501000997429.

Item Type: Article
Additional Information: © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)
Keywords: Ebola, Pharmacokinetics, TKM, Tekmira, Algorithms, Antiviral Agents, Computer Simulation, Dose-Response Relationship, Drug, Drug Evaluation, Preclinical, Drug Monitoring, Hemorrhagic Fever, Ebola, Humans, Models, Theoretical, RNA, Small Interfering, Severity of Illness Index, Sierra Leone, Treatment Outcome, Viral Load, RAPIDE-TKM trial team, Humans, Hemorrhagic Fever, Ebola, RNA, Small Interfering, Antiviral Agents, Drug Monitoring, Treatment Outcome, Viral Load, Severity of Illness Index, Drug Evaluation, Preclinical, Dose-Response Relationship, Drug, Algorithms, Models, Theoretical, Computer Simulation, Sierra Leone, TKM, Tekmira, Ebola, Pharmacokinetics, 1103 Clinical Sciences, 1117 Public Health and Health Services
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: EBioMedicine
ISSN: 2352-3964
Language: eng
Dates:
DateEvent
20 February 2020Published
14 January 2020Published Online
10 December 2019Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
MC_UU_12014/8Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
PubMed ID: 31953031
Web of Science ID: WOS:000515132200038
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/114451
Publisher's version: https://doi.org/10.1016/j.ebiom.2019.102601

Actions (login required)

Edit Item Edit Item