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dc.contributor.authorNieto Chaupis, Huber
dc.coverage.temporal7 May 2017 through 10 May 2017
dc.date.accessioned2019-08-26T02:42:24Z
dc.date.available2019-08-26T02:42:24Z
dc.date.issued2017-05
dc.identifier.citationNieto 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.urihttp://repositorio.uch.edu.pe/handle/uch/377
dc.identifier.urihttp://dx.doi.org/10.1109/MeMeA.2017.7985907
dc.identifier.urihttps://ieeexplore.ieee.org/document/7985907
dc.description.abstractIn 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.sponsorshipIEEE;IEEE Instrumentation and Measurement Society
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_PE
dc.relationinfo:eu-repo/semantics/articleen_PE
dc.relation.isPartOfIEEE International Symposium on Medical Measurements and Applications, MeMeA 2017
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_PE
dc.sourceRepositorio Institucional - UCHen_PE
dc.sourceUniversidad de Ciencias y Humanidadesen_PE
dc.subjectDamage detectionen
dc.subjectIntelligent systemsen
dc.subjectMonte Carlo methodsen
dc.subjectProteinsen
dc.subjectAlbuminen
dc.subjectElectric degradationen
dc.subjectElectrical forceen
dc.subjectIoBNTen
dc.subjectKidney diseaseen
dc.subjectNegatively chargeden
dc.subjectSpatial configurationen
dc.subjectSuperficial densityen
dc.subjectDiagnosisen
dc.titleModeling the electric degradation of podocytes and detection of albumin for the early diagnostics of the glomerulus's damageen_PE
dc.typeinfo:eu-repo/semantics/conferenceObjecten_PE
dc.identifier.doi10.1109/MeMeA.2017.7985907en_PE
dc.identifier.journalIEEE International Symposium on Medical Measurements and Applications, MeMeAen_PE
dc.identifier.scopus2-s2.0-85028011434
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