Literature DB >> 14722883

Plasmodium falciparum clonal population dynamics during malaria treatment.

Sayeh Jafari1, Jacques Le Bras, Olivier Bouchaud, Rémy Durand.   

Abstract

We have developed a new fragment-analysis method to enumerate the clones and to quantify their proportions within Plasmodium falciparum isolates. We prospectively enrolled 20 adult patients with uncomplicated malaria who were returning to France from various sub-Saharan countries, from January 2000 through July 2001. The analysis of clonal populations was performed on blood samples obtained at 10 times: 1 before treatment with oral quinine and 9 during the first 96 h of the treatment. The resistance genotypes pfcrt and dhfr were determined for chloroquine and antifolinics. Multiple P. falciparum genotypes were detected in 19 (95%) of 20 patients: 2, 3, 4, and 5 genotypes were found in 4, 9, 4 and 2 patients, respectively. Disappearance and reappearance of some clones within a few hours was observed. Individual clones represented 0.4%-99.4% of total parasitemia. Surprisingly, in 10 of 15 subjects tested, resistance genotypes varied according to the time of blood collection. These findings may have important implications with regard to the interpretations of resistance studies.

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Year:  2004        PMID: 14722883     DOI: 10.1086/380910

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  33 in total

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Authors:  Silvie Huijben; William A Nelson; Andrew R Wargo; Derek G Sim; Damien R Drew; Andrew F Read
Journal:  Evolution       Date:  2010-08-19       Impact factor: 3.694

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Authors:  Jesse J Kwiek; Alisa P Alker; Emily C Wenink; Marjorie Chaponda; Linda V Kalilani; Steven R Meshnick
Journal:  Antimicrob Agents Chemother       Date:  2006-11-20       Impact factor: 5.191

3.  Demonstration of a high level of parasite population homology by quantification of Plasmodium falciparum alleles in matched peripheral, placental, and umbilical cord blood samples.

Authors:  Sayeh Jafari-Guemouri; Nicaise Tuikue Ndam; Gwladys Bertin; Emily Renart; Sokhna Sow; Jean-Yves Le Hesran; Philippe Deloron
Journal:  J Clin Microbiol       Date:  2005-06       Impact factor: 5.948

4.  Use of a locked-nucleic-acid oligomer in the clamped-probe assay for detection of a minority Pfcrt K76T mutant population of Plasmodium falciparum.

Authors:  Alice Senescau; Antoine Berry; Françoise Benoit-Vical; Olfert Landt; Richard Fabre; Joël Lelièvre; Sophie Cassaing; Jean-François Magnaval
Journal:  J Clin Microbiol       Date:  2005-07       Impact factor: 5.948

5.  Validation of microsatellite markers for use in genotyping polyclonal Plasmodium falciparum infections.

Authors:  Bryan Greenhouse; Alissa Myrick; Christian Dokomajilar; Jonathan M Woo; Elaine J Carlson; Philip J Rosenthal; Grant Dorsey
Journal:  Am J Trop Med Hyg       Date:  2006-11       Impact factor: 2.345

6.  The fitness of drug-resistant malaria parasites in a rodent model: multiplicity of infection.

Authors:  S Huijben; D G Sim; W A Nelson; A F Read
Journal:  J Evol Biol       Date:  2011-08-23       Impact factor: 2.411

7.  The evolution of drug resistance and the curious orthodoxy of aggressive chemotherapy.

Authors:  Andrew F Read; Troy Day; Silvie Huijben
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-20       Impact factor: 11.205

8.  The perils of PCR: can we accurately 'correct' antimalarial trials?

Authors:  Jonathan J Juliano; Nahla Gadalla; Colin J Sutherland; Steven R Meshnick
Journal:  Trends Parasitol       Date:  2010-01-18

9.  Extensive dynamics of Plasmodium falciparum densities, stages and genotyping profiles.

Authors:  Anna Färnert; Marianne Lebbad; Lea Faraja; Ingegerd Rooth
Journal:  Malar J       Date:  2008-11-21       Impact factor: 2.979

10.  Comparison of Plasmodium falciparum allelic frequency distribution in different endemic settings by high-resolution genotyping.

Authors:  Sonja Schoepflin; Francesca Valsangiacomo; Enmoore Lin; Benson Kiniboro; Ivo Mueller; Ingrid Felger
Journal:  Malar J       Date:  2009-10-30       Impact factor: 2.979

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