The structure, function, and composition of the basement membrane of glomerular capillaries of the mammalian kidney have been extensively studied, in light of the membrane's frequent involvement in renal diseases. A novel mathematical model, based on the Fiber Matrix Theory, was developed to describe the dynamics of permselectivity of the glomerular capillary barrier using mainly its hemodynamic and morphometric variables. The glomerular basement membrane was represented as a homogeneous 3D meshwork of fibers of uniform length (L?), radius (R?), and packing density (N?v) and characterized by a local Darcy permeability. The model was appropriate for simulating in vivo fractional clearance data of neutral test macromolecules from an experimental rat model. We believe that the L? and R? best-fit numerical values, characterizing a glomerular basement membrane geometrical arrangement, may represent diagnostic measures for renal function in health and disease. That is, these parameters may signify new insights for the diagnosis of some human nephropathies and possibly may explain the beneficial effects and/or sites of action of some pharmacological modifiers.
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Ehab I. Mohamed, Ph.D.; D.Sc. is a professor of Medical Biophysics and the current Director of the Bone Densitometry and Human Body-Composition Unit, at the Medical Research Institute, Alexandria University, Egypt. His fields of interest include, among others, mathematical modeling of human physiological systems and medical biophysics.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The structure, function, and composition of the basement membrane of glomerular capillaries of the mammalian kidney have been extensively studied, in light of the membrane's frequent involvement in renal diseases. A novel mathematical model, based on the Fiber Matrix Theory, was developed to describe the dynamics of permselectivity of the glomerular capillary barrier using mainly its hemodynamic and morphometric variables. The glomerular basement membrane was represented as a homogeneous 3D meshwork of fibers of uniform length (L ), radius (R ), and packing density (N v) and characterized by a local Darcy permeability. The model was appropriate for simulating in vivo fractional clearance data of neutral test macromolecules from an experimental rat model. We believe that the L and R best-fit numerical values, characterizing a glomerular basement membrane geometrical arrangement, may represent diagnostic measures for renal function in health and disease. That is, these parameters may signify new insights for the diagnosis of some human nephropathies and possibly may explain the beneficial effects and/or sites of action of some pharmacological modifiers. 108 pp. Englisch. N° de réf. du vendeur 9783843365390
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohamed EhabEhab I. Mohamed, Ph.D. D.Sc. is a professor of Medical Biophysics and the current Director of the Bone Densitometry and Human Body-Composition Unit, at the Medical Research Institute, Alexandria University, Egypt. His . N° de réf. du vendeur 5466486
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The structure, function, and composition of the basement membrane of glomerular capillaries of the mammalian kidney have been extensively studied, in light of the membrane''s frequent involvement in renal diseases. A novel mathematical model, based on the Fiber Matrix Theory, was developed to describe the dynamics of permselectivity of the glomerular capillary barrier using mainly its hemodynamic and morphometric variables. The glomerular basement membrane was represented as a homogeneous 3D meshwork of fibers of uniform length (L¿), radius (R¿), and packing density (N¿v) and characterized by a local Darcy permeability. The model was appropriate for simulating in vivo fractional clearance data of neutral test macromolecules from an experimental rat model. We believe that the L¿ and R¿ best-fit numerical values, characterizing a glomerular basement membrane geometrical arrangement, may represent diagnostic measures for renal function in health and disease. That is, these parameters may signify new insights for the diagnosis of some human nephropathies and possibly may explain the beneficial effects and/or sites of action of some pharmacological modifiers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. N° de réf. du vendeur 9783843365390
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The structure, function, and composition of the basement membrane of glomerular capillaries of the mammalian kidney have been extensively studied, in light of the membrane's frequent involvement in renal diseases. A novel mathematical model, based on the Fiber Matrix Theory, was developed to describe the dynamics of permselectivity of the glomerular capillary barrier using mainly its hemodynamic and morphometric variables. The glomerular basement membrane was represented as a homogeneous 3D meshwork of fibers of uniform length (L ), radius (R ), and packing density (N v) and characterized by a local Darcy permeability. The model was appropriate for simulating in vivo fractional clearance data of neutral test macromolecules from an experimental rat model. We believe that the L and R best-fit numerical values, characterizing a glomerular basement membrane geometrical arrangement, may represent diagnostic measures for renal function in health and disease. That is, these parameters may signify new insights for the diagnosis of some human nephropathies and possibly may explain the beneficial effects and/or sites of action of some pharmacological modifiers. N° de réf. du vendeur 9783843365390
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Taschenbuch. Etat : Neu. Dynamics of Permselectivity of the Glomerular Capillary Wall | Mathematical Modeling of the Size-Selective Function of Renal Glomerular Capillaries in Healthy and Altered Conditions | Ehab Mohamed | Taschenbuch | 108 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843365390 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107219943
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