Molecular characterization of gut microbiota in high-lipid diet-induced hyperlipidemic rats treated with simvastatin

被引:12
|
作者
Zhang, Siruo [1 ]
Li, Huan [1 ]
Yuan, Lu [1 ]
Zhang, Jing [1 ]
Han, Lei [1 ]
Liu, Ruina [2 ]
Wu, Rui [3 ]
Shi, Yi [4 ]
Mushtaq, Nosheen [1 ]
Ullah, Shakir [1 ]
Xu, Jiru [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Basic Med Sci, Dept Pathogen Biol & Immunol, 76 West Yanta Rd, Xian 710061, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Dept Forens Pathol, Coll Forens Med, Xian 710061, Shaanxi, Peoples R China
[3] Xian Ctr Dis Control & Prevent, Xian 710054, Shaanxi, Peoples R China
[4] Shaanxi Prov Ctr Dis Control & Prevent, Xian 710054, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
16S rRNA gene; gut microbiota; hyperlipidemia; simvastatin; hypolipidemic drug; high-throughput sequencing; CHAIN FATTY-ACIDS; STATIN THERAPY; BILE; CHOLESTEROL; METABOLISM; DISEASE; OBESITY; COMMUNITIES; EZETIMIBE; ALTERS;
D O I
10.3892/ijmm.2020.4516
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Hyperlipidemia is a major risk factor for cardiovascular diseases. Simvastatin (SV), a cholesterol-lowering agent, has been widely used in the treatment of hyperlipidemia. Gut microbiota is known to influence drug response, including that to statins. However, the effect of SV on the gut microbiota of hyperlipidemic rats is not fully understood. To investigate the influence of SV on gut microbiota in hyperlipidemic rats, the molecular characterization of gut microbiota and the potential functions of genes involved in the downstream metabolic pathways were analyzed using high-throughput sequencing technology and the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States approach. The results revealed that SV treatment could reduce the gut microbial diversity and drive marked remodeling of the fecal bacterial community composition. At the phylum level, the relative abundance of Firmicutes and Actinobacteria was decreased following SV therapy, whereas that of Bacteroidetes was elevated. At the genus level, the percentage of the genera Bacteroides, Sutterella and Phascolarctobacterium was significantly increased, but that of Bifidobacterium, Ruminococcaceae_NK4A214, Ruminococcaceae_UCG-009, Intestinimonas and Tyzzerella was significantly decreased. Additionally, functional prediction analysis indicated that in the SV-associated microbiota, genes involved in energy, carbohydrate, amino acid and nucleotide metabolism likely exhibited enrichment. Briefly, to the best of our knowledge, the present study was the first to establish a profound and comprehensive association between the SV-induced alterations of the gut flora and the consequent influences of downstream metabolic pathways by gut microbiota. These findings suggested that the gut microbiota may contribute to the SV hypolipidemic efficacy in the progression of hyperlipidemia, which could provide insights for the prevention and treatment of hyperlipidemia.
引用
收藏
页码:1601 / 1615
页数:15
相关论文
共 50 条
  • [1] The Effect of Simvastatin on Gut Microbiota and Lipid Metabolism in Hyperlipidemic Rats Induced by a High-Fat Diet
    Zhang, Qing
    Fan, Xiaoyun
    Ye, Rui
    Hu, Yuzhong
    Zheng, Tingting
    Shi, Rui
    Cheng, Wenjian
    Lv, Xucong
    Chen, Lijiao
    Liang, Peng
    [J]. FRONTIERS IN PHARMACOLOGY, 2020, 11
  • [2] Metabolomic analysis of simvastatin and fenofibrate intervention in high-lipid diet-induced hyperlipidemia rats
    Qiu-yu Xu
    Yin-hui Liu
    Qi Zhang
    Bo Ma
    Zhen-dong Yang
    Lei Liu
    Di Yao
    Guang-bo Cui
    Jing-jing Sun
    Zi-mei Wu
    [J]. Acta Pharmacologica Sinica, 2014, 35 : 1265 - 1273
  • [3] Metabolomic analysis of simvastatin and fenofibrate intervention in high-lipid diet-induced hyperlipidemia rats
    Xu, Qiu-yu
    Liu, Yin-hui
    Zhang, Qi
    Ma, Bo
    Yang, Zhen-dong
    Liu, Lei
    Yao, Di
    Cui, Guang-bo
    Sun, Jing-jing
    Wu, Zi-mei
    [J]. ACTA PHARMACOLOGICA SINICA, 2014, 35 (10) : 1265 - 1273
  • [4] Integrative analysis of metabolome and gut microbiota in diet-induced hyperlipidemic rats treated with berberine compounds
    Meng Li
    Xiangbing Shu
    Hanchen Xu
    Chunlei Zhang
    Lili Yang
    Li Zhang
    Guang Ji
    [J]. Journal of Translational Medicine, 14
  • [5] Integrative analysis of metabolome and gut microbiota in diet-induced hyperlipidemic rats treated with berberine compounds
    Li, Meng
    Shu, Xiangbing
    Xu, Hanchen
    Zhang, Chunlei
    Yang, Lili
    Zhang, Li
    Ji, Guang
    [J]. JOURNAL OF TRANSLATIONAL MEDICINE, 2016, 14
  • [6] The Novel Interplay between Commensal Gut Bacteria and Metabolites in Diet-Induced Hyperlipidemic Rats Treated with Simvastatin
    Zhang, Siruo
    Yuan, Lu
    Li, Huan
    Han, Lei
    Jing, Wanghui
    Wu, Xiaokang
    Ullah, Shakir
    Liu, Ruina
    Wu, Yonghong
    Xu, Jiru
    [J]. JOURNAL OF PROTEOME RESEARCH, 2022, 21 (03) : 808 - 821
  • [7] Integrative analysis of fecal metabolome and gut microbiota in high-fat diet-induced hyperlipidemic rats treated with Rosa Roxburghii Tratt juice
    Ji, Jiacheng
    Zhang, Shuo
    Tang, Li
    Zhang, Min
    Yuan, Minyan
    Wang, Pengjiao
    Gao, Xiuli
    [J]. JOURNAL OF FUNCTIONAL FOODS, 2022, 90
  • [8] Effect of atorvastatin on the gut microbiota of high fat diet-induced hypercholesterolemic rats
    Khan, Tariq Jamal
    Ahmed, Youssri M.
    Zamzami, Mazin A.
    Mohamed, Saleh A.
    Khan, Imran
    Baothman, Othman A. S.
    Mehanna, Mohamed G.
    Yasir, Muhammad
    [J]. SCIENTIFIC REPORTS, 2018, 8
  • [9] Effect of atorvastatin on the gut microbiota of high fat diet-induced hypercholesterolemic rats
    Tariq Jamal Khan
    Youssri M. Ahmed
    Mazin A. Zamzami
    Saleh A. Mohamed
    Imran Khan
    Othman A. S. Baothman
    Mohamed G. Mehanna
    Muhammad Yasir
    [J]. Scientific Reports, 8
  • [10] Lipid- and gut microbiota-modulating effects of graphene oxide nanoparticles in high-fat diet-induced hyperlipidemic mice
    Li, Juan
    Yang, Shengmei
    Yu, Jiaqi
    Cui, Rongli
    Liu, Ru
    Lei, Runhong
    Chang, Yanan
    Geng, Huan
    Qin, Yanxia
    Gu, Weihong
    Xia, Shibo
    Chen, Kui
    Kong, Jianglong
    Chen, Guogang
    Wu, Chongming
    Xing, Gengmei
    [J]. RSC ADVANCES, 2018, 8 (55) : 31366 - 31371