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BACKGROUND: Dyslipidemia and obesity hypercaloric diet-induced lead to kidney damage. We investigated the effect of curcumin on the expression of proteins related to inflammation, fibrosis, fatty acids metabolism, kidney damage, and morphological changes in the kidneys of mice hypercaloric diets-fed. METHODS: Groups of 5-week-old C57BL/6 mice (n=6) were formed: Control (C), High-fructose diet (F), Highfructose diet and curcumin (F+Cur), High-fat diet (HFD), High-fat diet and curcumin (HFD+Cur), High-fat diet and fructose (HFD+F), High-fat diet, fructose and curcumin (HFD+F+Cur), treated for 16 weeks with 30% (w/v) fructose, 60% (w/w) fat and 0.75% (w/w) curcumin. Kidneys were obtained for histomorphological and Western Blot analysis. RESULTS: Curcumin prevented TNF-α overexpression in the F and HFD+F groups. VLCAD expression was higher in the F, HFD, and HFD+F groups. PPARγ expression was lower in the F+Cur, HFD+Cur, and HFD+F+Cur groups. Curcumin prevented overexpression of CPT1 and KIM1 in the HFD+F and HFD groups. Curcumin prevented morphological lesions, fibrosis, and lipid deposition that were hypercaloric diet-induced. CONCLUSION: Chronic consumption of hypercaloric diets causes inflammation, fibrosis, and lipid deposition in the kidney. It is suggested that curcumin prevents renal structural damage, limits tissue lipid deposition, and differentially modulates renal injury depending on diet composition in mice fed high-fat and/or high-fructose diets.
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(1) Background: Evidence regarding Non-Alcoholic Fatty Liver Disease (NAFLD) diagnosis is limited in the context of patients with gallstone disease (GD). This study aimed to assess the predictive potential of conventional clinical and biochemical variables as combined models for diagnosing NAFLD in patients with GD. (2) Methods: A cross-sectional study including 239 patients with GD and NAFLD diagnosed by ultrasonography who underwent laparoscopic cholecystectomy and liver biopsy was conducted. Previous clinical indices were also determined. Predictive models for the presence of NAFLD stratified by biological sex were obtained through binary logistic regression and sensitivity analyses were performed. (3) Results: For women, the model included total cholesterol (TC), age and alanine aminotransferase (ALT) and showed an area under receiver operating characteristic curve (AUC) of 0.727 (p < 0.001), sensitivity of 0.831 and a specificity of 0.517. For men, the model included TC, body mass index (BMI) and aspartate aminotransferase (AST), had an AUC of 0.898 (p < 0.001), sensitivity of 0.917 and specificity of 0.818. In both sexes, the diagnostic performance of the designed equations was superior to the previous indices. (4) Conclusions: These models have the potential to offer valuable guidance to healthcare providers in clinical decision-making, enabling them to achieve optimal outcomes for each patient.