New molecular settings to support in vivo anti-malarial assays Articles uri icon

authors

  • BAHAMONTES ROSA, NOEMÍ
  • RODRÍGUEZ ALEJANDRE, ANE
  • GÓMEZ, VANESA
  • VIERA, SARA
  • GÓMEZ LORENZO, MARÍA G.
  • SANZ ALONSO, LAURA MARÍA
  • MENDOZA LOSANA, ALFONSO

publication date

  • March 2016

issue

  • 147

volume

  • 15

International Standard Serial Number (ISSN)

  • 1475-2875

abstract

  • Background
    Quantitative real-time PCR (qPCR) is now commonly used as a method to confirm diagnosis of malaria and to differentiate recrudescence from re-infection, especially in clinical trials and in reference laboratories where precise quantification is critical. Although anti-malarial drug discovery is based on in vivo murine efficacy models, use of molecular analysis has been limited. The aim of this study was to develop qPCR as a valid methodology to support pre-clinical anti-malarial models by using filter papers to maintain material for qPCR and to compare this with traditional methods.
    Methods
    FTA technology (Whatman) is a rapid and safe method for extracting nucleic acids from blood. Peripheral blood samples from mice infected with Plasmodium berghei, P. yoelii, or P. falciparum were kept as frozen samples or as spots on FTA cards. The extracted genetic material from both types of samples was assessed for quantification by qPCR using sets of specific primers specifically designed for Plasmodium 18S rRNA, LDH, and CytB genes.
    Results
    The optimal conditions for nucleic acid extraction from FTA cards and qPCR amplification were set up, and were confirmed to be suitable for parasite quantification using DNA as template after storage at room temperature for as long as 26 months in the case of P. berghei samples and 52 months for P. falciparum and P. yoelii. The quality of DNA extracted from the FTA cards for gene sequencing and microsatellite amplification was also assessed.
    Conclusions
    This is the first study to report the suitability of FTA cards and qPCR assay to quantify parasite load in samples from in vivo efficacy models to support the drug discovery process.

keywords

  • malaria; plasmodium falciparum; plasmodium yoelii; lasmodium berghei; quantitative real-time pcr; qpcr; fta