Urinary metabolomics study on the protective role of cocoa in Zucker diabetic rats via 1H-NMR-based approach
| Autor: | Elisa Fernández-Millán, Sonia Ramos, David Álvarez-Cilleros, Sara Samino, Nuria Amigó, Xavier Correig, Mónica Chagoyen, Carmen Álvarez, María Ángeles Martín |
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| Přispěvatelé: | Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Agencia Estatal de Investigación (España) |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Nutrients; Volume 14; Issue 19; Pages: 4127 |
| ISSN: | 2018-0950 |
| Popis: | This article belongs to the Special Issue Effects of Polyphenol-Rich Foods on Chronic Diseases. Cocoa constitutes one of the richest sources of dietary flavonoids with demonstrated anti-diabetic potential. However, the metabolic impact of cocoa intake in a diabetic context remains unexplored. In this study, metabolomics tools have been used to investigate the potential metabolic changes induced by cocoa in type 2 diabetes (T2D). To this end, male Zucker diabetic fatty rats were fed on standard (ZDF) or 10% cocoa-rich diet (ZDF-C) from week 10 to 20 of life. Cocoa supplementation clearly decreased serum glucose levels, improved glucose metabolism and produced significant changes in the urine metabolome of ZDF animals. Fourteen differential urinary metabolites were identified, with eight of them significantly modified by cocoa. An analysis of pathways revealed that butanoate metabolism and the synthesis and degradation of branched-chain amino acids and ketone bodies are involved in the beneficial impact of cocoa on diabetes. Moreover, correlation analysis indicated major associations between some of these urine metabolites (mainly valine, leucine, and isoleucine) and body weight, glycemia, insulin sensitivity, and glycated hemoglobin levels. Overall, this untargeted metabolomics approach provides a clear metabolic fingerprint associated to chronic cocoa intake that can be used as a marker for the improvement of glucose homeostasis in a diabetic context. This work was supported by the grant RTI2018-095059-B-I00 and PID2020-116134RB-I00 and funded by MCIN/AEI/10.13039/501100011033/ and by “ERDF A way of making Europe”. |
| Databáze: | OpenAIRE |
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