Publications by authors named "P Bouws"

MicroRNAs (miRNAs) control 60% of genes expressed in the human body, but their role in malaria pathogenesis is incompletely understood. Here, we demonstrate cell type-specific alterations to the miRNA profiles during the early response to malaria infection in brain and lung endothelial cells (ECs). In brain ECs, incubation with -infected red blood cells in the ring stage (iRBCs) most significantly affected endocytosis-related miRNAs and mRNAs.

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During malaria infection, the endothelial lining of the small blood vessels of the brain and other vital organs is strongly stimulated. This leads to fatal complications and poor prognosis of the infection. It is believed that two main reasons are responsible for this pathology, namely the cytoadhesion of Plasmodium falciparum-infected erythrocytes (IEs) on the one hand and the proinflammatory products released by the IEs which activate the endothelial cells (ECs) on the other hand.

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Characterizing the adhesive dynamics of Plasmodium falciparum infected erythrocytes (IEs) to different endothelial cell receptors (ECRs) in flow is a big challenge considering available methods. This study investigated the adhesive dynamics of IEs to five ECRs (CD36, ICAM-1, P-selectin, CD9, CSA) using simulations of in vivo-like flow and febrile conditions. To characterize the interactions between ECRs and knobby and knobless IEs of two laboratory-adapted P.

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Changes in the erythrocyte membrane induced by invasion allow cytoadhesion of infected erythrocytes (IEs) to the host endothelium, which can lead to severe complications. Binding to endothelial cell receptors (ECRs) is mainly mediated by members of the erythrocyte membrane protein 1 (EMP1) family, encoded by genes. Malaria infection causes several common symptoms, with fever being the most apparent.

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The rhythmicity of human fetal breathing movements was studied during two different behavioural states (1F and 2F, respectively), using real-time B-scan-directed M-mode ultrasound recordings. The mean breath-to-breath interval durations and the standard deviations (SD), and the standard deviations of the interval differences (SDDSI) were calculated. The mean breath-to-breath interval duration was not significantly shorter during 1F than during 2F.

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