Title |
Assessment of therapeutic responses to gametocytocidal drugs in Plasmodium falciparum malaria
|
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Published in |
Malaria Journal, December 2014
|
DOI | 10.1186/1475-2875-13-483 |
Pubmed ID | |
Authors |
Nicholas J White, Elizabeth A Ashley, Judith Recht, Michael J Delves, Andrea Ruecker, Frank M Smithuis, Alice C Eziefula, Teun Bousema, Chris Drakeley, Kesinee Chotivanich, Mallika Imwong, Sasithon Pukrittayakamee, Jetsumon Prachumsri, Cindy Chu, Chiara Andolina, Germana Bancone, Tran T Hien, Mayfong Mayxay, Walter RJ Taylor, Lorenz von Seidlein, Ric N Price, Karen I Barnes, Abdoulaye Djimdé, Feiko ter Kuile, Roly Gosling, Ingrid Chen, Mehul J Dhorda, Kasia Stepniewska, Philippe Guérin, Charles J Woodrow, Arjen M Dondorp, Nicholas PJ Day, Francois H Nosten |
Abstract |
Indirect clinical measures assessing anti-malarial drug transmission-blocking activity in falciparum malaria include measurement of the duration of gametocytaemia, the rate of gametocyte clearance or the area under the gametocytaemia-time curve (AUC). These may provide useful comparative information, but they underestimate dose-response relationships for transmission-blocking activity. Following 8-aminoquinoline administration P. falciparum gametocytes are sterilized within hours, whereas clearance from blood takes days. Gametocytaemia AUC and clearance times are determined predominantly by the more numerous female gametocytes, which are generally less drug sensitive than the minority male gametocytes, whereas transmission-blocking activity and thus infectivity is determined by the more sensitive male forms. In choosing doses of transmission-blocking drugs there is no substitute yet for mosquito-feeding studies. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Thailand | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Burkina Faso | 1 | <1% |
Switzerland | 1 | <1% |
Tanzania, United Republic of | 1 | <1% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Madagascar | 1 | <1% |
Unknown | 136 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 34 | 24% |
Student > Ph. D. Student | 24 | 17% |
Student > Master | 15 | 10% |
Other | 10 | 7% |
Student > Bachelor | 10 | 7% |
Other | 23 | 16% |
Unknown | 27 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 37 | 26% |
Agricultural and Biological Sciences | 28 | 20% |
Biochemistry, Genetics and Molecular Biology | 12 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 10 | 7% |
Chemistry | 5 | 3% |
Other | 16 | 11% |
Unknown | 35 | 24% |