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Modeling the electric degradation of podocytes and detection of albumin for the early diagnostics of the glomerulus's damage

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dc.contributor.author Nieto Chaupis, Huber
dc.coverage.temporal 7 May 2017 through 10 May 2017
dc.date.accessioned 2019-08-26T02:42:24Z
dc.date.available 2019-08-26T02:42:24Z
dc.date.issued 2017-05
dc.identifier.citation Nieto Chaupis, H. (Mayo, 2017). Modeling the electric degradation of podocytes and detection of albumin for the early diagnostics of the glomerulus's damage. En International Symposium on Medical Measurements and Applications (MeMeA), USA. en_PE
dc.identifier.uri http://repositorio.uch.edu.pe/handle/uch/377
dc.identifier.uri http://dx.doi.org/10.1109/MeMeA.2017.7985907
dc.identifier.uri https://ieeexplore.ieee.org/document/7985907
dc.description.abstract In this paper, the pass of proteins like the albumin through the glomerular layers is modeled. Mainly, we have focused on the mathematical model based on physics which might explain the filtering of giant proteins like the albumin to the convoluted tubule as a relevant indicator of the beginning of the diabetes kidney disease (DKD). The main assumption of this study is that of the presence of high concentrations of glucose might deplete the negative charges (superficial densities) located along the endothelium and podocytes. This has implications on the podocytes's architecture in the sense that the lack of charges is synonymous of degradation and loss of functionalities. When podocytes have lost their morphology, the albumin and others negatively charged proteins exert electrical forces on the slit diaphragm and therefore makes a dynamical displacement in the Bowman's space or urine formation space. We have simulated the possible spatial configurations of albumin and noise expected to be measured by the nanosensor. The results are interpreted as the possible beginning of the glomerular damage in type-2 diabetes patients. The Monte Carlo simulation yields that the signal can be measured with an efficiency of order of 70%. en
dc.description.sponsorship IEEE;IEEE Instrumentation and Measurement Society
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_PE
dc.relation info:eu-repo/semantics/article en_PE
dc.relation.isPartOf IEEE International Symposium on Medical Measurements and Applications, MeMeA 2017
dc.rights info:eu-repo/semantics/embargoedAccess en_PE
dc.source Repositorio Institucional - UCH en_PE
dc.source Universidad de Ciencias y Humanidades en_PE
dc.subject Damage detection en
dc.subject Intelligent systems en
dc.subject Monte Carlo methods en
dc.subject Proteins en
dc.subject Albumin en
dc.subject Electric degradation en
dc.subject Electrical force en
dc.subject IoBNT en
dc.subject Kidney disease en
dc.subject Negatively charged en
dc.subject Spatial configuration en
dc.subject Superficial density en
dc.subject Diagnosis en
dc.title Modeling the electric degradation of podocytes and detection of albumin for the early diagnostics of the glomerulus's damage en_PE
dc.type info:eu-repo/semantics/conferenceObject en_PE
dc.identifier.doi 10.1109/MeMeA.2017.7985907 en_PE
dc.identifier.journal IEEE International Symposium on Medical Measurements and Applications, MeMeA en_PE
dc.identifier.scopus 2-s2.0-85028011434


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