Osteopontin as a Biomarker for Early Diagnosis of Renal Damage during Experimental Metabolic Syndrome

Rosalba Siracusa, Marika Cordaro, Roberta Fusco, Alessia Arangia, Livia Interdonato, Ylenia Marino, Gianluca Antonio Franco, Salvatore Cuzzocrea, Rosanna Di Paola, Daniela Impellizzeri

Article ID: 7671
Vol 37, Issue 12, 2023
DOI: https://doi.org/10.23812/j.biol.regul.homeost.agents.20233712.615
Received: 8 January 2024; Accepted: 8 January 2024; Available online: 8 January 2024; Issue release: 8 January 2024

Abstract

Background: Excess consumption of fructose is a significant factor in the development of metabolic syndrome (MetS). It may also play a role in the progress of chronic kidney disease (CKD). Osteopontin (OPN) is a pleiotropic, multi-phosphorylated glycoprotein which plays important roles in diseases as well as in a wide range of biological activities. Based on these findings, the aim of this study was to evaluate OPN as a biomarker for the early detection of renal injury during an experimental model of fructose associated MetS in mice. Methods: Male CD1 mice aged 8–10 weeks were used. Fructose mice were given 30% fructose solution in drinking water, while control mice were given normal drinking water for 56 days. At sacrifice, kidneys, blood and urine of mice were collected. Biochemical, histological (hematoxylin and eosin and Massons trichrome), immunohistochemical and molecular analyses (western blot, real-time quantitative polymerase chain reaction (RT-qPCR)) were performed. Results: Compared to controls, Fructose mice showed increased levels of glucose, total cholesterol (TC), triglyceride (TG), low-density lipoprotein (LDL), alanine aminotransferase (ALT), and aspartate aminotransferase (AST), as well as creatinine and blood urea nitrogen (BUN). In addition, significant histological kidney injury and fibrosis were observed in Fructose mice. These alterations were associated with increased levels of plasma and renal tissue OPN. Conclusions: Thus, new biomarkers such as OPN can be clinically useful to help predict kidney damage in MetS.


Keywords

metabolic syndrome;fructose;osteopontin;kidney injury;biomarker


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