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Case Reports
. 2017 Apr 6;11(4):e0005365.
doi: 10.1371/journal.pntd.0005365. eCollection 2017 Apr.

Plasmodium vivax gametocytes in the bone marrow of an acute malaria patient and changes in the erythroid miRNA profile

Barbara Baro  1 , Katrien Deroost  1 , Tainá Raiol  2 , Marcelo Brito  1   3 , Anne C G Almeida  1   3 , Armando de Menezes-Neto  4 , Erick F G Figueiredo  1 , Aline Alencar  1   3 , Rodrigo Leitão  5 , Fernando Val  1   2 , Wuelton Monteiro  1   2 , Anna Oliveira  6 , Maria Del Pilar Armengol  6 , Carmen Fernández-Becerra  4   6 , Marcus V Lacerda  1   2 , Hernando A Del Portillo  4   6   7
Affiliations
Case Reports

Plasmodium vivax gametocytes in the bone marrow of an acute malaria patient and changes in the erythroid miRNA profile

Barbara Baro et al. PLoS Negl Trop Dis. .
No abstract available

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Comparison of P. vivax load and life stages in bone marrow aspirate and peripheral blood on admission.
A. Parasitaemia in bone marrow aspirate and peripheral blood at the day of admission. B. Parasite stage distribution in bone marrow and peripheral blood. n = 800 iRBCs. R = rings, YT = young trophozoites, MS = mature trophozoites and schizonts, G = gametocytes. C. Representative Giemsa-stained images of P. vivax in the bone marrow (BM, upper row) illustrating rings (red arrows) and gametocytes (yellow arrows) and in peripheral blood (PB, lower row) illustrating young trophozoites (blue arrows) and gametocytes (yellow arrow). Arrows indicate infected cells. D. Relative RT-qPCR quantification of pvs25 transcripts in bone marrow and peripheral blood samples obtained at admission. pvs25 transcript levels were normalized by amplifying aldolase; bone marrow quantification was expressed as fold change function of peripheral blood quantification. Calculated bone marrow aspirate purity was 80%. BM purity = [1 - (erythrocyte-BM/erythrocytes-PB) x (leukocytes-PB/leukocytes-BM)] x 100. Statistical tests were performed with GraphPad Prism software. Paired t-tests were used to compare differences between two groups, whereas two-way ANOVA with Sidak test for correction for multiple comparisons was used in case of more then two groups. Data in graphs are shown as mean ± standard error of the mean. p < 0.05 was regarded as statistically different. **: p < 0.01 and ****: p < 0.0001.
Fig 2
Fig 2. Small RNA profile of bone marrow CD71+ erythroid precursor cells on admission and at convalescence.
A. Flow cytometry plots demonstrating the enrichment of erythroid cells as stained with CD235a/Glycophorin A-FITC and CD71-PE showing the initial bone marrow sample at D0 and the CD71+ enriched fraction after purification of CD71-coated beads for D0 and D42 samples. B. Fraction of leukocyte contamination in the CD71-enriched fraction for D0 and D42 as determined by counting n = 500 nucleated cells by microscopy on Giemsa-stained slides. C. Normalized read counts of small RNA categories present at D0 and D42. misc_RNA: miscellaneous other RNA, miRNA: microRNA, snRNA: small nuclear RNA, snoRNA: small nucleolar RNA, antisense: antisense RNA. D. Heatmap of erythropoiesis-related miRNA normalized counts were generated using the package gplots in R. Fold changes were calculated as the normalized read counts of D42/D0 ratio on a logarithmic scale for each miRNA.
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References

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