@article{CDT33727,
author = {Dong-Ning Wu and Le Guan and Yi-Xin Jiang and Su-Hua Ma and Ya-Nan Sun and Hong-Tao Lei and Wei-Feng Yang and Qing-Feng Wang},
title = {Microbiome and metabonomics study of quercetin for the treatment of atherosclerosis},
journal = {Cardiovascular Diagnosis and Therapy},
volume = {9},
number = {6},
year = {2019},
keywords = {},
abstract = {Background: The molecular mechanism of quercetin in the prevention and treatment of AS has been widely reported. However, the microbial and metabolic characteristics of quercetin in AS treatment are still poorly understood. In this study, we aimed to explore the gut microbial and metabolic signatures of quercetin in AS treatment and conduct an integrative analysis on its biomechanism.
Methods: An atherosclerosis mouse model was induced by a high cholesterol diet (HCD). The duration of the quercetin treatment was 12 weeks. We measured TC, TG, HDL and LDL for plasma biochemical analysis and TNF-α and IL-6 for plasma inflammatory analysis. Haematoxylin-eosin (HE) staining was conducted to evaluate the aortic structure and atherosclerosis. Bacterial DNA, which was extracted from mouse faeces, was identified by the V3−V4 regions of the 16S rRNA for microbiological analysis. The HeatMap package of BTtools was applied to visualize the data of the microbial difference matrix according to the OTU results. Fecal metabolites were assessed through LC-MS. Multivariate data analysis was conducted on the normalized data with SIMCA-P+. Significantly different metabolites were extracted based on the Pearson correlation coefficients at the level of P},
issn = {2223-3660}, url = {https://cdt.amegroups.org/article/view/33727}
}