A pharmacokinetic-pharmacodynamic model for chemoprotective agents against malaria.
A pharmacokinetic-pharmacodynamic model for chemoprotective agents against malaria.
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DOI:
10.1002/psp4.12875
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发表时间:
2023-01
影响因子:
3.5
通讯作者:
Gobeau, Nathalie
中科院分区:
文献类型:
--
作者:
Cherkaoui-Rbati, Mohammed H.;Andenmatten, Nicole;Burgert, Lydia;Egbelowo, Oluwaseun F.;Fendel, Rolf;Fornari, Chiara;Gabel, Michael;Ward, John;Mohrle, Jorg J.;Gobeau, Nathalie
Chemoprophylactics are a vital tool in the fight against malaria. They can be used to protect populations at risk, such as children younger than the age of 5 in areas of seasonal malaria transmission or pregnant women. Currently approved chemoprophylactics all present challenges. There are either concerns about unacceptable adverse effects such as neuropsychiatric sequalae (mefloquine), risks of hemolysis in patients with G6PD deficiency (8‐aminoquinolines such as tafenoquine), or cost and daily dosing (atovaquone–proguanil). Therefore, there is a need to develop new chemoprophylactic agents to provide more affordable therapies with better compliance through improving properties such as pharmacokinetics to allow weekly, preferably monthly, dosing. Here we present a pharmacokinetic–pharmacodynamic (PKPD) model constructed using DSM265 (a dihydroorotate dehydrogenase inhibitor with activity against the liver schizonts of malaria, therefore, a prophylaxis candidate). The PKPD model mimics the parasite lifecycle by describing parasite dynamics and drug activity during the liver and blood stages. A major challenge is the estimation of model parameters, as only blood‐stage parasites can be observed once they have reached a threshold. By combining qualitative and quantitative knowledge about the parasite from various sources, it has been shown that it is possible to infer information about liver‐stage growth and its initial infection level. Furthermore, by integrating clinical data, the killing effect of the drug on liver‐ and blood‐stage parasites can be included in the PKPD model, and a clinical outcome can be predicted. Despite multiple challenges, the presented model has the potential to help translation from preclinical to late development for new chemoprophylactic candidates.
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DOI:
10.1016/0035-9203(90)90258-g
发表时间:
1990-03-01
影响因子:
2.2
作者:
ROSENBERG, R;WIRTZ, RA;BURGE, R
通讯作者:
BURGE, R
影响因子:
168.9
作者:
White, Nicholas J.;Pukrittayakamee, Sasithon;Dondorp, Arjen M.
通讯作者:
Dondorp, Arjen M.
影响因子:
7.3
作者:
Foquet, Lander;Schafer, Carola;Kappe, Stefan H. I.
通讯作者:
Kappe, Stefan H. I.
影响因子:
17.1
作者:
Phillips MA;Lotharius J;Marsh K;White J;Dayan A;White KL;Njoroge JW;El Mazouni F;Lao Y;Kokkonda S;Tomchick DR;Deng X;Laird T;Bhatia SN;March S;Ng CL;Fidock DA;Wittlin S;Lafuente-Monasterio M;Benito FJ;Alonso LM;Martinez MS;Jimenez-Diaz MB;Bazaga SF;Angulo-Barturen I;Haselden JN;Louttit J;Cui Y;Sridhar A;Zeeman AM;Kocken C;Sauerwein R;Dechering K;Avery VM;Duffy S;Delves M;Sinden R;Ruecker A;Wickham KS;Rochford R;Gahagen J;Iyer L;Riccio E;Mirsalis J;Bathhurst I;Rueckle T;Ding X;Campo B;Leroy D;Rogers MJ;Rathod PK;Burrows JN;Charman SA
通讯作者:
Charman SA
DOI:
10.1016/s1473-3099(17)30171-8
发表时间:
2017-06
期刊:
The Lancet. Infectious diseases
影响因子:
--
作者:
McCarthy JS;Lotharius J;Rückle T;Chalon S;Phillips MA;Elliott S;Sekuloski S;Griffin P;Ng CL;Fidock DA;Marquart L;Williams NS;Gobeau N;Bebrevska L;Rosario M;Marsh K;Möhrle JJ
通讯作者:
Möhrle JJ