Background: In present study we investigated expression pattern of the special tissue markers. SATB1 and PTEN to evaluate possible influence in pathophysiology and development of various biopsy proven kidney diseases.
Methods: The 32 kidney biopsy samples were analysed using light, immunofluorescence and electron microscopy. There were 19 samples in proliferative and 13 samples in non- proliferative group of renal diseases. As control group, 9 specimens of healthy kidney tissue taken after surgery of kidney tumour were used. SATB1 and PTEN markers were used for immunofluorescence staining. Analysed tissue structures were glomeruli, proximal convoluted tubules (PCT) and distal convoluted tubules (DCT). The number of SATB1 and PTEN cells were calculated and the data compared between kidney structures, disease groups and control specimens.
Results: Both markers were positive in all investigated kidney structures, with expression generally, more prominent in tubular epithelial cells than in glomeruli, with the highest staining intensity rate as well as highest rate of both markers in DCT of proliferative diseases group (SATB1 64.5 %, PTEN 52 %). There was statistically significant difference in SATB1 expression in all tissue structures of interest in proliferative as well as non- proliferative group compared to control group (p < 0.01-p < 0.0001). PTEN expression were found significantly decreased in PCT of both disease groups in regard to control (PTEN 25.3 % and 23.8 % vs. 41.1 % (p < 0.01 and p < 0.001 respectively).
Conclusion: SATB1 and PTEN could be considered as markers influenced in kidney disease development. SATB1/PTEN expression should be further investigated as useful markers of kidney disease activity as well as potential therapeutic target.
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http://dx.doi.org/10.1016/j.acthis.2020.151631 | DOI Listing |
Acta Histochem
December 2020
Department of Anatomy, Histology and Embryology, University of Split School of Medicine, 21000, Split, Croatia.
Database (Oxford)
January 2018
Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, USA.
Numerous efforts have been made for developing text-mining tools to extract information from biomedical text automatically. They have assisted in many biological tasks, such as database curation and hypothesis generation. Text-mining tools are usually different from each other in terms of programming language, system dependency and input/output format.
View Article and Find Full Text PDFNephrol Dial Transplant
October 2018
Laboratory for Early Human Development, Department of Anatomy, Histology and Embryology, University of Split School of Medicine, Split, Croatia.
Background: Diabetic nephropathy (DN) is a common complication of diabetes mellitus (DM). We studied the expression of special AT-rich sequence binding protein 1 (SATB1) and phosphatase and tensin homologue (PTEN) in the kidneys of diabetic rats during ageing.
Methods: Male Sprague Dawley rats were injected with 55 mg/kg streptozotocin (STZ) (DM group) or with citrate buffer (control group).
PLoS One
June 2014
Radiobiology for Children's Health Program, Research Center for Radiation Protection, National Institute of Radiological Sciences, Chiba, Japan ; Radiation Effect Accumulation and Prevention Project, Fukushima Project Headquarters, National Institute of Radiological Sciences, Chiba, Japan.
BRIP1 is a DNA helicase that directly interacts with the C-terminal BRCT repeat of the breast cancer susceptibility protein BRCA1 and plays an important role in BRCA1-dependent DNA repair and DNA damage-induced checkpoint control. Recent studies implicate BRIP1 as a moderate/low-penetrance breast cancer susceptibility gene. However, the phenotypic effects of BRIP1 dysfunction and its role in breast cancer tumorigenesis remain unclear.
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