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Updated: Sep 20, 2026
In Vivo Assessment of Rodent Plasmodium Parasitemia and Merozoite Invasion by Flow Cytometry
Published on: April 5, 2015
Sensitivity of hemozoin detection by automated flow cytometry in non- and semi-immune malaria patients
Martin P Grobusch1, Thomas Hänscheid, Benedikt Krämer
1Medizinische Klinik (Infektiologie), Charité/Campus Virchow-Klinikum, Humboldt-Universität, Berlin, Germany. martin.grobusch@uni-tuebingen.de
Background:
Cell-Dyn automated blood cell analyzers use laser flow cytometry technology, allowing detection of malaria pigment (hemozoin) in monocytes. We evaluated the value of such an instrument to diagnose malaria in febrile travelers returning to Berlin, Germany, the relation between the instrument's performance and the patients' immune status, and the capacity to increase its sensitivity.
Methods:
Malaria diagnosis was routinely established by thick-film microscopy. The patients' immune status was determined by an indirect fluorescent antibody test. Hemozoin detection was performed with a Cell-Dyn 3000. To assess the capacity for sensitivity increase, the relative frequencies of pigment-containing monocytes were determined for a subgroup of patients with the Cell-Dyn 3000 in comparison with a flow cytometer specifically adapted to rare-event analysis.
Results:
Of 403 patients screened microscopically, 107 had malaria. Overall sensitivity with the Cell-Dyn 3000 reached 48.6% (73.7% in semi-immune and 28.6% in nonimmune individuals; P < 0.0001). Specificity was 96.2%. The detection limit was at a relative concentration of 2 x 10(-4) pigment-containing monocytes (PCMs). By employing rare-event flow cytometry, the detection limit decreased to 3.25 x 10(-5), thus yielding a considerably increased sensitivity for the subgroup studied.
Conclusions:
The correlation between immune status and relative concentration of PCMs explains the failure of the routine instrument for nonimmune patients and its significantly higher sensitivity for semi-immune individuals. The technique can be significantly improved by rare-event flow cytometry.
