z-logo
open-access-imgOpen Access
A molecular map of chloroquine resistance in Mali
Author(s) -
Djimde Abdoulaye A.,
Barger Breanna,
Kone Aminatou,
Beavogui Abdoul H.,
Tekete Mamadou,
Fofana Bakary,
Dara Antoine,
Maiga Hamma,
Dembele Demba,
Toure Sekou,
Dama Souleymane,
Ouologuem Dinkorma,
Sangare Cheick Papa Oumar,
Dolo Amagana,
Sogoba Nofomo,
Nimaga Karamoko,
Kone Yacouba,
Doumbo Ogobara K.
Publication year - 2010
Publication title -
fems immunology & medical microbiology
Language(s) - English
Resource type - Journals
eISSN - 1574-695X
pISSN - 0928-8244
DOI - 10.1111/j.1574-695x.2009.00641.x
Subject(s) - biology , chloroquine , resistance (ecology) , malaria , genetics , microbiology and biotechnology , immunology , ecology
Plasmodium falciparum chloroquine resistance (CQR) transporter point mutation (PfCRT 76T) is known to be the key determinant of CQR. Molecular detection of PfCRT 76T in field samples may be used for the surveillance of CQR in malaria‐endemic countries. The genotype‐resistance index (GRI), which is obtained as the ratio of the prevalence of PfCRT 76T to the incidence of CQR in a clinical trial, was proposed as a simple and practical molecular‐based addition to the tools currently available for monitoring CQR in the field. In order to validate the GRI model across populations, time, and resistance patterns, we compiled data from the literature and generated new data from 12 sites across Mali. We found a mean PfCRT 76T mutation prevalence of 84.5% (range 60.9–95.1%) across all sites. CQR rates predicted from the GRI model were extrapolated onto a map of Mali to show the patterns of resistance throughout the participating regions. We present a comprehensive map of CQR in Mali, which strongly supports recent changes in drug policy away from chloroquine.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here