African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12487

Full Length Research Paper

Quantification of markers of antimalarial drug resistance from an area of high malaria transmission: Comparing frequency with prevalence

Allen Malisa1,2*, Richard Pearce3, Ben Mutayoba4, Salim Abdullah2, Hassan Mshinda2, Patrick Kachur5, Peter Bloland5 and Cally Roper3
1Sokoine University of Agriculture (SUA), Department of Biological Sciences, Faculty of Science, Box 3038, Morogoro, Tanzania. 2Ifakara Health Institute (IHI), Ifakara, Kilombero District, Morogoro, Tanzania. 3London School of Hygiene and Tropical Medicine, Pathogen Molecular Biology Unit, Department of Infectious Tropical Diseases, Keppel Street, London, WC1E 7HT, UK. 4Sokoine University of Agriculture (SUA), Department of Veterinary Physiology, Biochemistry, Pharmacology and Toxicology, Faculty of Veterinary Medicine, PO Box 3017, Morogoro, Tanzania. 5Malaria Epidemiology Branch, Division of Parasitic Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Email: [email protected], [email protected]

  •  Accepted: 01 August 2012
  •  Published: 28 August 2012

Abstract

Molecular monitoring of markers of antimalarial drug resistance offers an affordable alternative to the in vivo method for the detection of resistance, and has the potential to guide public health policy in a timely manner. However, the optimal way of analyzing and reporting these data, particularly those emanating from areas of moderate to high malaria transmission, has never been fully explored or agreed upon, given the potential of being confounded by coinfections. By using large number of real field samples, we quantified the difference between prevalence and frequency when reporting field data on antimalarial drug resistance obtained by direct counting of haplotypes. Polymerase chain reaction (PCR) and sequence specific oligonucleotide probing was used to generate point mutations which were used to construct haplotypes. Results indicate that frequency underestimates haplotypes present at low levels while also amplifying haplotypes present at high levels; prevalence on the other hand behaved in a vice versa manner. Both prevalence and frequency are therefore essential, as each may have relevance in different contexts in high malaria transmission settings. Frequency is essential to gauge the impact of intervention on antimalarial drug resistance while prevalence may be more relevant when the aim is to determine parasite clearance.

 

Key words: Molecular markers, polymerase chain reaction (PCR) - sequence specific oligonucleotide probing (SSOP), prevalence, frequency.