Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/5687
Title: Microrheologic dysfunctions in blood during malaria
Authors: Jayavanth, Sanjay
Park, Bock Choon
Keywords: Artificial neural networks (ANN)
Microrheological dysfunctions
Red cell aggregation and deformability
<i style="">Vivax</i> malaria
Issue Date: Jan-2007
Publisher: CSIR
Abstract: Among the <i style="">Plasmodium</i> variants that cause human malaria, <i style="">vivax</i> malaria is considered to be non-malignant. Recent research has indicated that severe <i style="">vivax</i> infection can turnout to be as pathological as <i style="">falciparum</i>. This review evidences microrheologic pathology in <i style="">vivax </i>malaria, similar to that as seen in malignant <i style="">falciparum</i>. The parasite invasion, internalization and growth in the RBC lead to membrane rigidification and progressive loss of deformability, rosetting and cytoadherence, enhanced aggregation, clumpy, non-deforming, sticky aggregates and chronic sedimentation profiles. A model that reflects the net effect of these changes is of clinical value to establish disease severity in specific malaria. In this respect an artificial neural network (ANN) model, implemented in malaria severity analysis, is discussed. Results of this model suggest that a good degree of severity classification (60 to 100%) can be achieved even with small sample size (malaria samples n=12, normal =10). With larger sample size, ANN may be very apt as microrheological model for severity analysis.
Description: 111-120
URI: http://hdl.handle.net/123456789/5687
ISSN: 0975-1009 (Online); 0019-5189 (Print)
Appears in Collections:IJEB Vol.45(01) [January 2007]

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