Integrated Ultrasound Characterization of the Diet-Induced Obesity (DIO) Model in Young Adult c57bl/6j Mice: Assessment of Cardiovascular, Renal and Hepatic Changes

Author:

Gargiulo Sara12ORCID,Barone Virginia3ORCID,Bonente Denise4ORCID,Tamborrino Tiziana4,Inzalaco Giovanni12ORCID,Gherardini Lisa12ORCID,Bertelli Eugenio3ORCID,Chiariello Mario12ORCID

Affiliation:

1. Institute of Clinical Physiology, National Research Council, Via Fiorentina 1, 53100 Siena, Italy

2. Core Research Laboratory (CRL), Istituto per lo Studio la Prevenzione e la Rete Oncologica (ISPRO), 53100 Siena, Italy

3. Department of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy

4. Department of Life Sciences, University of Siena, 53100 Siena, Italy

Abstract

Consuming an unbalanced diet and being overweight represent a global health problem in young people and adults of both sexes, and may lead to metabolic syndrome. The diet-induced obesity (DIO) model in the C57BL/6J mouse substrain that mimics the gradual weight gain in humans consuming a “Western-type” (WD) diet is of great interest. This study aims to characterize this animal model, using high-frequency ultrasound imaging (HFUS) as a complementary tool to longitudinally monitor changes in the liver, heart and kidney. Long-term WD feeding increased mice body weight (BW), liver/BW ratio and body condition score (BCS), transaminases, glucose and insulin, and caused dyslipidemia and insulin resistance. Echocardiography revealed subtle cardiac remodeling in WD-fed mice, highlighting a significant age–diet interaction for some left ventricular morphofunctional parameters. Qualitative and parametric HFUS analyses of the liver in WD-fed mice showed a progressive increase in echogenicity and echotexture heterogeneity, and equal or higher brightness of the renal cortex. Furthermore, renal circulation was impaired in WD-fed female mice. The ultrasound and histopathological findings were concordant. Overall, HFUS can improve the translational value of preclinical DIO models through an integrated approach with conventional methods, enabling a comprehensive identification of early stages of diseases in vivo and non-invasively, according to the 3Rs.

Funder

Next Generation EU

Regione Toscana/Istituto per lo Studio, la Prevenzione e la Rete Oncologica

Publisher

MDPI AG

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