Baseline urinary osteopontin levels are associated with the improvement of metabolic syndrome

Margherita Moriero; Daniela Verzola; Maria Bertolotto; Silvia Minetti; Paola Contini; Davide Ramoni; Luca Liberale; Roberto Pontremoli; Francesca Viazzi; Aldo Pende; Livia Pisciotta; Fabrizio Montecucco; Federico Carbone

doi:10.1016/j.numecd.2024.03.028

Baseline urinary osteopontin levels are associated with the improvement of metabolic syndrome

Nutr Metab Cardiovasc Dis. 2024 Mar 29:S0939-4753(24)00130-3. doi: 10.1016/j.numecd.2024.03.028. Online ahead of print.

Affiliations

¹ First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy.
² First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa - Italian Cardiovascular Network, Genoa, Italy.
³ First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Genoa, Italy.
⁴ First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa - Italian Cardiovascular Network, Genoa, Italy. Electronic address: federico.carbone@unige.it.

PMID: 38664124
DOI: 10.1016/j.numecd.2024.03.028

Abstract

Background and aims: While serum osteopontin (OPN)'s established role in cardiometabolic risk is recognized, its potential as a predictor of metabolic syndrome (MetS) improvement through a urine assay has not yet been demonstrated. In this study, we propose its potential predictive role over a 12-month period of standard care, with the ability to complement anthropometric measures.

Methods and results: Hierarchical clustering revealed a notable association of urinary OPN (uOPN) with MetS criteria and overcame anthropometric measures in predicting the improvement at 12 months (OR of 2.74 [95% CI 1.32 to 6.29]). uOPN significantly contributed to the homogeneity of the nodes in the random forest and ultimately enhanced the performance of anthropometric measures when assessed for accuracy and area under the curve (AUC).

Conclusion: Our findings offer insights into potential applications in cardiometabolic medicine for uOPN, which is easily detectable in non-invasive biological samples through an affordable assay.

Keywords: Body mass index; Metabolic syndrome; Urinary osteopontin; Waist circumference.

Copyright © 2024 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.