Hemoglobin consumption by P. falciparum in individual erythrocytes imaged via quantitative phase spectroscopy.

Autor: Rinehart MT; Dept. of Biomedical Engineering, Duke University, Durham, NC 27708, US., Park HS; Dept. of Biomedical Engineering, Duke University, Durham, NC 27708, US., Walzer KA; Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, US., Chi JT; Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, US., Wax A; Dept. of Biomedical Engineering, Duke University, Durham, NC 27708, US.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2016 Apr 18; Vol. 6, pp. 24461. Date of Electronic Publication: 2016 Apr 18.
DOI: 10.1038/srep24461
Abstrakt: Plasmodium falciparum infection causes structural and biochemical changes in red blood cells (RBCs). To quantify these changes, we apply a novel optical technique, quantitative phase spectroscopy (QPS) to characterize individual red blood cells (RBCs) during the intraerythrocytic life cycle of P. falciparum. QPS captures hyperspectral holograms of individual RBCs to measure spectroscopic changes across the visible wavelength range (475-700 nm), providing complex information, i.e. amplitude and phase, about the light field which has interacted with the cell. The complex field provides complimentary information on hemoglobin content and cell mass, which are both found to dramatically change upon infection by P. falciparum. Hb content progressively decreases with parasite life cycle, with an average 72.2% reduction observed for RBCs infected by schizont-stage P. falciparum compared to uninfected cells. Infection also resulted in a 33.1% reduction in RBC's optical volume, a measure of the cells' non-aqueous components. Notably, optical volume is only partially correlated with hemoglobin content, suggesting that changes in other dry mass components such as parasite mass may also be assessed using this technique. The unique ability of QPS to discriminate individual healthy and infected cells using spectroscopic changes indicates that the approach can be used to detect disease.
Databáze: MEDLINE