University of Limerick
Browse
Granato_2022_Systems.pdf (4.13 MB)

Systems biology approaches for understanding metabolic differences using ‘multi-omics’ profiling of metabolites in mice fed with honey and mixed sugars

Download (4.13 MB)
journal contribution
posted on 2023-03-08, 15:51 authored by Xing Zheng, Yazhou Zhao, Nenad Naumovski, Wen Zhao, Guan Yang, Xiaofeng Xue, Liming Wu, Daniel GranatoDaniel Granato, Wenjun Peng, Kai Wang

Honey is proposed to be the oldest natural sweetener and it is a standard component of several dietary patterns. Recent evidence suggests that replacing sugars, such as fructose, with honey has potential health benefits. In this study, we determined the effects of honey supplementation in mice on cardiometabolic and inflammatory markers and changes in gut microbiota and metabolomic profiles. We compared mice fed a honey diet (1 or 2 g/kg) with those fed an analog diet (mixed fructose, glucose, and sucrose (FSG) solutions) at exact dosages for one month. We found the same blood glucose fluctuating trends for honey- and FGS-fed mice. The honey diets resulted in less weight gain and fewer ballooned hepatocytes. Additionally, honey diets decreased the total serum cholesterol and TNF-α and increased the antioxidant enzyme activity. Each diet type was associated with distinct gut microbiota and metabolomics profiles. Systems biology analysis revealed that Lactococcus spp., Lachnospiraceae spp., and oleamide had the strongest correlations with lipid metabolic networks. Although in an animal model, this study provides a good understanding of the potential benefits of choosing honey rather than mixed sugars in regular dietary patterns.

History

Publication

Nutrients, 14, 3445

Publisher

MDPI

Other Funding information

This research was funded by the National Natural Science Foundation of China (no. 32172791), the Agricultural Science and Technology Innovation Program (under grant CAAS-ASTIP-2022-IAR), and the Modern Agro-industry Technology Research System from the Ministry of Agriculture of China (under grant CARS-44).

Department or School

  • Biological Sciences

Usage metrics

    University of Limerick

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC