Literature DB >> 34332959

A mathematical estimation of the physical forces driving podocyte detachment.

Linus Butt1, David Unnersjö-Jess1, Martin Höhne1, Bernhard Schermer2, Aurelie Edwards3, Thomas Benzing4.   

Abstract

Loss of podocytes, possibly through the detachment of viable cells, is a hallmark of progressive glomerular disease. Podocytes are exposed to considerable physical forces due to pressure and flow resulting in circumferential wall stress and tangential shear stress exerted on the podocyte cell body, which have been proposed to contribute to podocyte depletion. However, estimations of in vivo alterations of physical forces in glomerular disease have been hampered by a lack of quantitative functional and morphological data. Here, we used ultra-resolution data and computational analyses in a mouse model of human disease, hereditary late-onset focal segmental glomerular sclerosis, to calculate increased mechanical stress upon podocyte injury. Transversal shear stress on the lateral walls of the foot processes was prominently increased during the initial stages of podocyte detachment. Thus, our study highlights the importance of targeting glomerular hemodynamics to treat glomerular disease.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  focal segmental glomerulosclerosis; podocyte; ultrafiltration

Year:  2021        PMID: 34332959     DOI: 10.1016/j.kint.2021.06.040

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  2 in total

1.  Super-Resolution Imaging of the Filtration Barrier Suggests a Role for Podocin R229Q in Genetic Predisposition to Glomerular Disease.

Authors:  Linus Butt; David Unnersjö-Jess; Martin Höhne; Robert Hahnfeldt; Dervla Reilly; Markus M Rinschen; Ingo Plagmann; Paul Diefenhardt; Sebastian Brähler; Paul T Brinkkötter; Hjalmar Brismar; Hans Blom; Bernhard Schermer; Thomas Benzing
Journal:  J Am Soc Nephrol       Date:  2021-12-01       Impact factor: 10.121

2.  Three-Dimensional Visualization of the Podocyte Actin Network Using Integrated Membrane Extraction, Electron Microscopy, and Machine Learning.

Authors:  Chengqing Qu; Robyn Roth; Pongpratch Puapatanakul; Charles Loitman; Dina Hammad; Guy M Genin; Jeffrey H Miner; Hani Y Suleiman
Journal:  J Am Soc Nephrol       Date:  2021-11-10       Impact factor: 10.121

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.