ABSTRACT
Eradication of malaria, a mosquito-borne parasitic disease that hijacks human red blood cells, is a global priority. Microscopy remains the gold standard hallmark for diagnosis and estimation of parasitemia for malaria, to date. However, this approach is time-consuming and requires much expertise especially in malaria-endemic countries or in areas with low-density malaria infection. Thus, there is a need for accurate malaria diagnosis/parasitemia estimation with standardized, fast, and more reliable methods. To this end, we performed a proof-of-concept study using the automated imaging (NanoZoomer) platform to detect the malarial parasite in infected blood. The approach can be used as a steppingstone for malaria diagnosis and parasitemia estimation. Additionally, we created an algorithm (ParasiteMacro) compatible with free online imaging software (ImageJ) that can be used with low magnification objectives (e.g., 5×, 10×, and 20×) both in the NanoZoomer and routine microscope. The novel approach to estimate malarial parasitemia based on modern technologies compared to manual light microscopy demonstrated 100% sensitivity, 87% specificity, a 100% negative predictive value (NPV) and a 93% positive predictive value (PPV). The manual and automated malaria counts showed a good Pearson correlation for low- (R2 = 0.9377, r = 0.9683 and p < 0.0001) as well as high- parasitemia (R2 = 0.8170, r = 0.9044 and p < 0.0001) with low estimation errors. Our robust strategy that identifies and quantifies malaria can play a pivotal role in disease control strategies.
ABSTRACT
Plasmodium falciparum, the causative organism of Malaria is a mosquito-borne parasitic disease which infects red blood cells (RBCs), where it multiplies rapidly and goes through different stages of its life cycle. When the parasite load exceeds >3% in the blood, malaria transforms into severe malaria which requires immediate attention as death occurs within hours to days. The increase in people traveling to malaria-endemic areas and resistance/partial resistance to most known antimalarial drugs has put the current management scheme in jeopardy. To improve the patient outcome at this point, the physician may opt to perform exchange transfusions from another individual as an adjunct therapy to reduce parasitized RBCs, but the strategy has many drawbacks, including chances of infection. These limitations can be mitigated if the patient's own blood is withdrawn/extracted, sterilized from the parasitic load and then re-transfused almost similar to what is done in extracorporeal blood treatment for sepsis, poisoning and graft versus host disease. Thus, in the present study a light-based photochemical approach, Photodynamic Therapy (PDT) built on delta-aminolevulinic acid-protoporphyrin IX (ALA-PpIX) synthesis is exploited. This modality was effective at destruction of both resistant and susceptible strains of parasites, including at a high load mimicking severe drug resistant malaria. The current findings have set the stage for concept of an ALA-PpIX based PDT platform, "the REAP (Rapid Elimination of Active Plasmodium) strategy". This approach provides an additional tool towards the defense against multi-drug resistant severe malaria, and other intracellular blood pathogens, dependent on heme-synthesis.
