2017
DOI: 10.1016/j.jtemb.2016.08.007
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Evaluation of tissue metal and trace element content in a rat model of non-alcoholic fatty liver disease using ICP-DRC-MS

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Cited by 21 publications
(14 citation statements)
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“…The fat content in the diet did not affect the serum and tissular Fe levels. These results are similar to other research findings, where diminished hepatic [45,46] and renal [47] Zn concentrations were observed. Similarly, the renal Cu content decreased in the rats fed a high-fat diet [48], those fed a high-fat/ high fructose diet [47] and in the rats with non-alcoholic fatty liver disease (NAFLD) [46].…”
Section: Discussionsupporting
confidence: 93%
See 1 more Smart Citation
“…The fat content in the diet did not affect the serum and tissular Fe levels. These results are similar to other research findings, where diminished hepatic [45,46] and renal [47] Zn concentrations were observed. Similarly, the renal Cu content decreased in the rats fed a high-fat diet [48], those fed a high-fat/ high fructose diet [47] and in the rats with non-alcoholic fatty liver disease (NAFLD) [46].…”
Section: Discussionsupporting
confidence: 93%
“…Other authors also observed reduced serum Cu concentration [ 45 ]. The high-fat diet did not affect the Fe content in laboratory animals’ liver [ 45 – 47 ], kidney [ 47 , 48 ] and serum [ 45 , 46 , 48 ]. The changes in the mineral status may have been caused by the fact that the rats fed high-fat diets had lower absorption and/or lower intake of these minerals.…”
Section: Discussionmentioning
confidence: 99%
“…Relative reductions in liver contents of fallout plutonium in humans with liver diseases have also been reported [24,25]. In experimental studies, reductions in liver tissue metals and trace elements have been reported in a model of non-alcoholic fatty liver disease and these reductions were often concomitant with decreases in total liver protein [26]. Various liver diseases and at various stages of disease may also alter biliary excretion of the plutonium and thus fecal excretion rates relative to urinary excretion.…”
Section: Discussionmentioning
confidence: 88%
“…Consequently, automated image segmentation methods are useful when identifying different regions, and for follow-up tasks based on image classification and lesion area identification analysis for improved diagnosis accuracy [28] [29] [30]. However, mice liver tissues are different from other tissues.…”
Section: Introductionmentioning
confidence: 99%