Sensitive detection of Plasmodium vivax malaria by the rotating-crystal magneto-optical method in Thailand
Orbán, Ágnes, Longley, Rhea J., Sripoorote, Piyarat, Maneechai, Nongnuj, Nguitragool, Wang, Butykai, Ádám, Mueller, Ivo, Sattabongkot, Jetsumon, Karl, Stephan, and Kézsmárki, István (2021) Sensitive detection of Plasmodium vivax malaria by the rotating-crystal magneto-optical method in Thailand. Scientific Reports, 11. 18547.
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Abstract
The rotating-crystal magneto-optical detection (RMOD) method has been developed for the rapid and quantitative diagnosis of malaria and tested systematically on various malaria infection models. Very recently, an extended field trial in a high-transmission region of Papua New Guinea demonstrated its great potential for detecting malaria infections, in particular Plasmodium vivax. In the present small-scale field test, carried out in a low-transmission area of Thailand, RMOD confirmed malaria in all samples found to be infected with Plasmodium vivax by microscopy, our reference method. Moreover, the magneto-optical signal for this sample set was typically 1–3 orders of magnitude higher than the cut-off value of RMOD determined on uninfected samples. Based on the serial dilution of the original patient samples, we expect that the method can detect Plasmodium vivax malaria in blood samples with parasite densities as low as ∼5–10 parasites per microliter, a limit around the pyrogenic threshold of the infection. In addition, by investigating the correlation between the magnitude of the magneto-optical signal, the parasite density and the erythrocytic stage distribution, we estimate the relative hemozoin production rates of the ring and the trophozoite stages of in vivo Plasmodium vivax infections.
Item ID: | 70863 |
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Item Type: | Article (Research - C1) |
ISSN: | 2045-2322 |
Copyright Information: | © The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Funders: | National Health and Medical Research Council (NHMRC) |
Projects and Grants: | NHMRC Emerging Leadership Fellowship (GNT1173210), NHMRC Career Development Fellowship (GNT1141441) |
Date Deposited: | 17 Nov 2021 00:55 |
FoR Codes: | 32 BIOMEDICAL AND CLINICAL SCIENCES > 3206 Medical biotechnology > 320602 Medical biotechnology diagnostics (incl. biosensors) @ 100% |
SEO Codes: | 20 HEALTH > 2001 Clinical health > 200101 Diagnosis of human diseases and conditions @ 100% |
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