Publications by authors named "M Flisinski"

Background: Gitelman Syndrome (GS) is a hereditary tubulopathy associated with a biallelic inactivating mutations of the SLC12A3 gene encoding the thiazide-sensitive sodium-chloride cotransporter (NCCT). The typical clinical manifestation is a hypokalemic metabolic alkalosis with significant hypomagnesemia, and low urinary calcium excretion. Hypocalciuria is widely believed to be a hallmark of GS that distinguishes it from Barter's syndrome, presenting as hypercalciuria.

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Excessive consumption of fructose (FR) leads to obesity, metabolic syndrome (MS) and insulin resistance, which are known risk factors for kidney stones. The epidemiological study has suggested the association between fructose consumption and urolithiasis, but the precise mechanism is still not well understood. Male Wistar rats were assigned for 8 weeks to three groups with different FR content in diet: RD ( = 5)-regular diet with a FR < 3%; F10 ( = 6)-regular diet with an addition of 10% Fr in drinking water; F60 ( = 5)-60% FR as a solid food.

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Skin aging is a natural, unavoidable, and complex process caused by oxidative stress. As a consequence, it leads to an increase in the activation of extracellular matrix disruption enzymes and DNA damage. The search for natural sources that inhibit these mechanisms can be a good approach to prevent skin aging.

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Hipoxia inducible factor-1 and HIF-2 are responsible for the adaptation of cell metabolism to hypoxia. Previously, a more severe capillary rarefaction was found in locomotor than in postural muscles of uremic animals. The aim of this study was to analyze the expression patterns of HIF and prolyl hydroxylases (PHDs) in functionally different skeletal muscles in uremic rats, an experimental model of chronic kidney disease (CKD).

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Purpose: Coronary artery calcification (CAC) is an independent predictor of cardiovascular (CV) events in renal transplant recipients (RTR). Carotid-femoral pulse wave velocity (PWV), a non-invasive measure of large artery stiffness, also predicts CV events in RTR. The study investigated the relationship between CAC and PWV in RTR and assessed the performance of PWV measurement in predicting CAC.

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