Gut microbial community and fecal metabolomic signatures in different types of osteoporosis animal models

被引:0
|
作者
Qiao, Xiaochen [1 ,2 ,3 ]
Li, Xiaoyan [4 ]
Wang, Zhichao [5 ]
Feng, Yi [1 ,2 ]
Wei, Xiaochun [1 ,2 ]
Li, Lu [1 ,2 ]
Pan, Yongchun [6 ]
Zhang, Kun [1 ,2 ]
Zhou, Ruhao [1 ,2 ]
Yan, Lei [1 ,2 ]
Li, Pengcui [1 ,2 ]
Xu, Chaojian [1 ,2 ]
Lv, Zhi [1 ,2 ]
Tian, Zhi [1 ,2 ]
机构
[1] Shanxi Med Univ, Clin Med Coll 2, Taiyuan 030001, Shanxi, Peoples R China
[2] Shanxi Med Univ, Hosp 2, Dept Orthoped, Shanxi Key Lab Bone & Soft Tissue Injury Repair, Taiyuan 030001, Shanxi, Peoples R China
[3] Shanxi Med Univ, Jinzhong Hosp, Dept Orthoped, Jinzhong 030600, Shanxi, Peoples R China
[4] Shanxi Med Univ, Shanxi Prov Canc Hosp, Shanxi Hosp, Canc Hosp,Chinese Acad Med Sci, Taiyuan 030013, Shanxi, Peoples R China
[5] Shanxi Med Univ, Hosp 3, Shanxi Bethune Hosp, Tongji Shanxi Hosp,Shanxi Acad Med Sci, Taiyuan 030032, Shanxi, Peoples R China
[6] Third Peoples Hosp Datong City, Dept Orthoped, Datong 037006, Shanxi, Peoples R China
来源
AGING-US | 2024年 / 16卷 / 02期
基金
中国国家自然科学基金;
关键词
osteoporosis; animal model; gut microbiota; 16S rDNA sequencing; metabolomics; BONE HEALTH; HISTAMINE;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Background: The gut microbiota (GM) constitutes a critical factor in the maintenance of physiological homeostasis. Numerous studies have empirically demonstrated that the GM is closely associated with the onset and progression of osteoporosis (OP). Nevertheless, the characteristics of the GM and its metabolites related to different forms of OP are poorly understood. In the present study, we examined the changes in the GM and its metabolites associated with various types of OP as well as the correlations among them. Methods: We simultaneously established rat postmenopausal, disuse -induced, and glucocorticoid-induced OP models. We used micro -CT and histological analyses to observe bone microstructure, three-point bending tests to measure bone strength, and enzyme -linked immunosorbent assay (ELISA) to evaluate the biochemical markers of bone turnover in the three rat OP models and the control. We applied 16s rDNA to analyze GM abundance and employed untargeted metabolomics to identify fecal metabolites in all four treatment groups. We implemented multi-omics methods to explore the relationships among OP, the GM, and its metabolites. Results: The 16S rDNA sequencing revealed that both the abundance and alterations of the GM significantly differed among the OP groups. In the postmenopausal OP model, the bacterial genera g__Bacteroidetes_ unclassified, g__Firmicutes_unclassified, and g__Eggerthella had changed. In the disuse -induced and glucocorticoid-induced OP models, g__Akkermansia and g__Rothia changed, respectively. Untargeted metabolomics disclosed that the GM -derived metabolites significantly differed among the OP types. However, a Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that it was mainly metabolites implicated in lipid and amino acid metabolism that were altered in all cases. An association analysis indicated that the histidine metabolism intermediate 4-(beta-acetylaminoethyl) imidazole was common to all OP forms and was strongly correlated with all bone metabolism -related bacterial genera. Hence, 4-(beta-acetylaminoethyl) imidazole might play a vital role in OP onset and progression. Conclusions: The present work revealed the alterations in the GM and its metabolites that are associated with OP. It also disclosed the changes in the GM that are characteristic of each type of OP. Future research should endeavor to determine the causal and regulatory effects of the GM and the metabolites typical of each form of OP.
引用
收藏
页码:1192 / 1217
页数:26
相关论文
共 50 条
  • [1] Fecal and Serum Metabolomic Signatures and Microbial Community Profiling of Postmenopausal Osteoporosis Mice Model
    Wen, Kaicheng
    Tao, Lin
    Tao, Zhengbo
    Meng, Yan
    Zhou, Siming L.
    Chen, Jianhua
    Yang, Keda
    Da, Wacili
    Zhu, Yue
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2020, 10
  • [2] Gut microbiota and fecal metabolic signatures in rat models of disuse-induced osteoporosis
    Qiao, Xiaochen
    Zhang, Kun
    Li, Xiaoyan
    Lv, Zhi
    Wei, Wenhao
    Zhou, Ruhao
    Yan, Lei
    Pan, Yongchun
    Yang, Sen
    Sun, Xiaojuan
    Li, Pengcui
    Xu, Chaojian
    Feng, Yi
    Tian, Zhi
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2022, 12
  • [3] Gut microbiota signatures and fecal metabolites in postmenopausal women with osteoporosis
    Wang, Han
    Liu, Jing
    Wu, Zuoxing
    Zhao, Yangyang
    Cao, Man
    Shi, Baohong
    Chen, Baolong
    Chen, Ning
    Guo, Hao
    Li, Na
    Chen, Jian
    Xu, Ren
    GUT PATHOGENS, 2023, 15 (01)
  • [4] Gut microbiota signatures and fecal metabolites in postmenopausal women with osteoporosis
    Han Wang
    Jing Liu
    Zuoxing Wu
    Yangyang Zhao
    Man Cao
    Baohong Shi
    Baolong Chen
    Ning Chen
    Hao Guo
    Na Li
    Jian Chen
    Ren Xu
    Gut Pathogens, 15
  • [5] Gut microbial features and circulating metabolomic signatures of frailty in older adults
    Pu, Yanni
    Sun, Zhonghan
    Zhang, Hui
    Huang, Qingxia
    Wang, Zhengdong
    Mei, Zhendong
    Wang, Peilu
    Kong, Mengmeng
    Yang, Wenjun
    Lin, Chenhao
    Zhou, Xiaofeng
    Lin, Shuchun
    Huang, Qiumin
    Huang, Lili
    Sun, Liang
    Yuan, Changzheng
    Xu, Qian
    Tang, Huiru
    Wang, Xiaofeng
    Zheng, Yan
    NATURE AGING, 2024, 4 (09): : 1249 - 1262
  • [6] Fecal and serum metabolomic signatures and gut microbiota characteristics of allergic rhinitis mice model
    Chen, Zhen
    He, Shancai
    Wei, Yihan
    Liu, Yang
    Xu, Qingqing
    Lin, Xing
    Chen, Chenyu
    Lin, Wei
    Wang, Yingge
    Li, Li
    Xu, Yuanteng
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2023, 13
  • [7] Human-fecal microbiota transplantation in relation to gut microbiome signatures in animal models for schizophrenia: A scoping review
    Singh, Raghunath
    Panganiban, Kristoffer
    Au, Emily
    Ravikumar, Rekha
    Pereira, Sandra
    Prevot, Thomas D.
    Mueller, Daniel J.
    Remington, Gary
    Agarwal, Sri Mahavir
    Verdu, Elena F.
    Bercik, Premysl
    De Palma, Giada
    Hahn, Margaret K.
    ASIAN JOURNAL OF PSYCHIATRY, 2024, 102
  • [8] Changes in Mouse Gut Microbial Community in Response to the Different Types of Commonly Consumed Meat
    Zhang, Zhimin
    Li, Dapeng
    Tang, Rong
    MICROORGANISMS, 2019, 7 (03)
  • [9] Changes in Gut Microbial Community of Pig Feces in Response to Different Dietary Animal Protein Media
    Jeong, Yujeong
    Park, Jongbin
    Kim, Eun Bae
    JOURNAL OF MICROBIOLOGY AND BIOTECHNOLOGY, 2020, 30 (09) : 1321 - 1334
  • [10] Gut microbial and metabolomic profiles after fecal microbiota transplantation in pediatric ulcerative colitis patients
    Nusbaum, David J.
    Sung, Fengzhu
    Ren, Jie
    Zhu, Zifan
    Ramsy, Natalie
    Pervolarakis, Nicholas
    Kunde, Sachin
    England, Whitney
    Gao, Bei
    Fiehn, Oliver
    Michail, Sonia
    Whiteson, Katrine
    FEMS MICROBIOLOGY ECOLOGY, 2018, 94 (09)