dc.contributor.author
Duwal, Sulav
dc.contributor.author
Dickinson, Laura
dc.contributor.author
Khoo, Saye
dc.contributor.author
Kleist, Max von
dc.date.accessioned
2018-08-16T06:38:15Z
dc.date.available
2018-08-16T06:38:15Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/22720
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-519
dc.description.abstract
To achieve the 90-90-90 goals set by UNAIDS, the number of new HIV infections needs to decrease to approximately 500,000 by 2020. One of the ‘five pillars’ to achieve this goal is pre-exposure prophylaxis (PrEP). Truvada (emtricitabine-tenofovir) is currently the only medication approved for PrEP. Despite its advantages, Truvada is costly and requires individuals to adhere to the once-daily regimen. To improve PrEP, many next-generation regimen, including long-acting formulations, are currently investigated. However, pre-clinical testing may not guide candidate selection, since it often fails to translate into clinical efficacy. On the other hand, quantifying prophylactic efficacy in the clinic is ethically problematic and requires to conduct long (years) and large (N>1000 individuals) trials, precluding systematic evaluation of candidates and deployment strategies. To prioritize- and help design PrEP regimen, tools are urgently needed that integrate pharmacological-, viral- and host factors determining prophylactic efficacy. Integrating the aforementioned factors, we developed an efficient and exact stochastic simulation approach to predict prophylactic efficacy, as an example for dolutegravir (DTG). Combining the population pharmacokinetics of DTG with the stochastic framework, we predicted that plasma concentrations of 145.18 and 722.23nM prevent 50- and 90% sexual transmissions respectively. We then predicted the reduction in HIV infection when DTG was used in PrEP, PrEP ‘on demand’ and post-exposure prophylaxis (PEP) before/after virus exposure. Once daily PrEP with 50mg oral DTG prevented 99–100% infections, and 85% of infections when 50% of dosing events were missed. PrEP ‘on demand’ prevented 79–84% infections and PEP >80% when initiated within 6 hours after virus exposure and continued for as long as possible. While the simulation framework can easily be adapted to other PrEP candidates, our simulations indicated that oral 50mg DTG is non-inferior to Truvada. Moreover, the predicted 90% preventive concentrations can guide release kinetics of currently developed DTG nano-formulations.
en
dc.format.extent
25 Seiten
de
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
de
dc.subject
stochastic simulation
en
dc.subject
systems pharmacology
en
dc.subject
dolutegravir
en
dc.subject
pharmacometrics
en
dc.subject
Pharmacokinetics
en
dc.subject
hybrid stochastic-deterministic simulation
en
dc.subject
PrEP on demand
en
dc.subject
empirical bayesian inference
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::500 Naturwissenschaften::500 Naturwissenschaften und Mathematik
de
dc.subject.ddc
500 Naturwissenschaften und Mathematik::510 Mathematik::519 Wahrscheinlichkeiten, angewandte Mathematik
de
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
de
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::615 Pharmakologie, Therapeutik
de
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::614 Inzidenz und Prävention von Krankheiten
de
dc.title
Hybrid stochastic framework predicts efficacy of prophylaxis against HIV
de
dc.type
Wissenschaftlicher Artikel
de
dc.identifier.sepid
64864
dc.title.subtitle
An example with different dolutegravir prophylaxis schemes
de
dcterms.bibliographicCitation.articlenumber
e1006155
dcterms.bibliographicCitation.doi
10.1371/journal.pcbi.1006155
dcterms.bibliographicCitation.journaltitle
Plos Computational Biology
dcterms.bibliographicCitation.number
6
dcterms.bibliographicCitation.volume
2018/14
dcterms.bibliographicCitation.url
https://doi.org/10.1371/journal.pcbi.1006155
de
refubium.affiliation
Mathematik und Informatik
de
refubium.funding
Deutsche Forschungsgemeinschaft (DFG)
de
refubium.resourceType.isindependentpub
no
de
dcterms.accessRights.dnb
free
de
dcterms.accessRights.openaire
open access