Literature DB >> 25481214

Quantitative analysis of markers of podocyte injury in the rat puromycin aminonucleoside nephropathy model.

Tetsuhiro Kakimoto1, Kinya Okada2, Keisuke Fujitaka3, Masashi Nishio3, Tsuyoshi Kato4, Atsushi Fukunari5, Hiroyuki Utsumi5.   

Abstract

Podocytes are an essential component of the renal glomerular filtration barrier, their injury playing an early and important role in progressive renal dysfunction. This makes quantification of podocyte marker immunoreactivity important for early detection of glomerular histopathological changes. Here we have specifically applied a state-of-the-art automated computational method of glomerulus recognition, which we have recently developed, to study quantitatively podocyte markers in a model with selective podocyte injury, namely the rat puromycin aminonucleoside (PAN) nephropathy model. We also retrospectively investigated mRNA expression levels of these markers in glomeruli which were isolated from the same formalin-fixed, paraffin-embedded kidney samples by laser microdissection. Among the examined podocyte markers, the immunopositive area and mRNA expression level of both podoplanin and synaptopodin were decreased in PAN glomeruli. The immunopositive area of podocin showed a slight decrease in PAN glomeruli, while its mRNA level showed no change. We have also identified a novel podocyte injury marker β-enolase, which was increased exclusively by podocytes in PAN glomeruli, similarly to another widely used marker, desmin. Thus, we have shown the specific application of a state-of-the-art computational method and retrospective mRNA expression analysis to quantitatively study the changes of various podocyte markers. The proposed methods will open new avenues for quantitative elucidation of renal glomerular histopathology.
Copyright © 2014 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Automated image analysis; Kidney; Laser microdissection; Podocyte; Puromycin aminonucleoside; β-Enolase

Mesh:

Substances:

Year:  2014        PMID: 25481214     DOI: 10.1016/j.etp.2014.11.007

Source DB:  PubMed          Journal:  Exp Toxicol Pathol        ISSN: 0940-2993


  5 in total

1.  Semiautomated quantitative image analysis of glomerular immunohistochemistry markers desmin, vimentin, podocin, synaptopodin and WT-1 in acute and chronic rat kidney disease models.

Authors:  J Funk; V Ott; A Herrmann; W Rapp; S Raab; W Riboulet; A Vandjour; E Hainaut; A Benardeau; T Singer; B Jacobsen
Journal:  Histochem Cell Biol       Date:  2015-12-15       Impact factor: 4.304

2.  p66Shc regulates podocyte autophagy in high glucose environment through the Notch-PTEN-PI3K/Akt/mTOR pathway.

Authors:  Danna Zheng; Mei Tao; Xudong Liang; Yiwen Li; Juan Jin; Qiang He
Journal:  Histol Histopathol       Date:  2019-10-25       Impact factor: 2.303

3.  Circle Representation for Medical Object Detection.

Authors:  Ethan H Nguyen; Haichun Yang; Ruining Deng; Yuzhe Lu; Zheyu Zhu; Joseph T Roland; Le Lu; Bennett A Landman; Agnes B Fogo; Yuankai Huo
Journal:  IEEE Trans Med Imaging       Date:  2022-03-02       Impact factor: 10.048

4.  Segmental HOG: new descriptor for glomerulus detection in kidney microscopy image.

Authors:  Tsuyoshi Kato; Raissa Relator; Hayliang Ngouv; Yoshihiro Hirohashi; Osamu Takaki; Tetsuhiro Kakimoto; Kinya Okada
Journal:  BMC Bioinformatics       Date:  2015-09-30       Impact factor: 3.169

5.  Overexpression of KLF5 inhibits puromycin‑induced apoptosis of podocytes.

Authors:  Yang Li; Xiaoni Sui; Xueqing Hu; Zhao Hu
Journal:  Mol Med Rep       Date:  2018-08-09       Impact factor: 2.952

  5 in total

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