Application of a cell microarray chip system for accurate, highly sensitive and rapid diagnosis for malaria in Uganda

Accurate, sensitive, rapid and easy operative diagnosis is necessary to prevent the spread of malaria. A cell microarray chip system including a push column for the recovery of erythrocytes and a fluorescence detector was employed for malaria diagnosis in Uganda. The chip with 20,944 microchambers (...

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Published inScientific reports Vol. 6; no. 1; p. 30136
Main Authors Yatsushiro, Shouki, Yamamoto, Takeki, Yamamura, Shohei, Abe, Kaori, Obana, Eriko, Nogami, Takahiro, Hayashi, Takuya, Sesei, Takashi, Oka, Hiroaki, Okello-Onen, Joseph, Odongo-Aginya, Emmanuel I., Alai, Mary Auma, Olia, Alex, Anywar, Dennis, Sakurai, Miki, Palacpac, Nirianne MQ, Mita, Toshihiro, Horii, Toshihiro, Baba, Yoshinobu, Kataoka, Masatoshi
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 22.07.2016
Nature Publishing Group
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Summary:Accurate, sensitive, rapid and easy operative diagnosis is necessary to prevent the spread of malaria. A cell microarray chip system including a push column for the recovery of erythrocytes and a fluorescence detector was employed for malaria diagnosis in Uganda. The chip with 20,944 microchambers (105 μm width and 50 μm depth) was made of polystyrene. For the analysis, 6 μl of whole blood was employed and leukocytes were practically removed by filtration through SiO 2 -nano-fibers in a column. Regular formation of an erythrocyte monolayer in each microchamber was observed following dispersion of an erythrocyte suspension in a nuclear staining dye, SYTO 21, onto the chip surface and washing. About 500,000 erythrocytes were analyzed in a total of 4675 microchambers and malaria parasite-infected erythrocytes could be detected in 5 min by using the fluorescence detector. The percentage of infected erythrocytes in each of 41 patients was determined. Accurate and quantitative detection of the parasites could be performed. A good correlation between examinations via optical microscopy and by our chip system was demonstrated over the parasitemia range of 0.0039–2.3438% by linear regression analysis (R 2  = 0.9945). Thus, we showed the potential of this chip system for the diagnosis of malaria.
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These authors contributed equally to this work.
ISSN:2045-2322
2045-2322
DOI:10.1038/srep30136