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 69 条
  • [1] Akkawi Ibrahim, 2018, Joints, V6, P122, DOI 10.1055/s-0038-1660790
  • [2] Human gut bacterial metabolism drives Th17 activation and colitis
    Alexander, Margaret
    Ang, Qi Yan
    Nayak, Renuka R.
    Bustion, Annamarie E.
    Sandy, Moriah
    Zhang, Bing
    Upadhyay, Vaibhav
    Pollard, Katherine S.
    Lynch, Susan, V
    Turnbaugh, Peter J.
    [J]. CELL HOST & MICROBE, 2022, 30 (01) : 17 - +
  • [3] The Treatment Gap in Osteoporosis
    Ayub, Nazia
    Faraj, Malak
    Ghatan, Sam
    Reijers, Joannes A. A.
    Napoli, Nicola
    Oei, Ling
    [J]. JOURNAL OF CLINICAL MEDICINE, 2021, 10 (13)
  • [4] Immune regulation by histamine and histamine secreting bacteria
    Barcik, Weronika
    Wawrzyniak, Marcin
    Akdis, Cezmi A.
    O'Mahony, Liam
    [J]. CURRENT OPINION IN IMMUNOLOGY, 2017, 48 : 108 - 113
  • [5] Mass spectrometry-based metabolomics in microbiome investigations
    Bauermeister, Anelize
    Mannochio-Russo, Helena
    Costa-Lotufo, Leticia V.
    Jarmusch, Alan K.
    Dorrestein, Pieter C.
    [J]. NATURE REVIEWS MICROBIOLOGY, 2022, 20 (03) : 143 - 160
  • [6] The role of gut microbiota in bone homeostasis
    Behera, Jyotirmaya
    Ison, Jessica
    Tyagi, Suresh C.
    Tyagi, Neetu
    [J]. BONE, 2020, 135
  • [7] Commensal bacteria contribute to insulin resistance in aging by activating innate B1a cells
    Bodogai, Monica
    O'Connell, Jennifer
    Kim, Ki
    Kim, Yoo
    Moritoh, Kanako
    Chen, Chen
    Gusev, Fedor
    Vaughan, Kelli
    Shulzhenko, Natalia
    Mattison, Julie A.
    Lee-Chang, Catalina
    Chen, Weixuan
    Carlson, Olga
    Becker, Kevin G.
    Gurung, Manoj
    Morgun, Andrey
    White, James
    Meade, Theresa
    Perdue, Kathy
    Mack, Matthias
    Ferrucci, Luigi
    Trinchieri, Giorgio
    de Cabo, Rafael
    Rogaev, Evgeny
    Egan, Josephine
    Wu, Jiejun
    Biragyn, Arya
    [J]. SCIENCE TRANSLATIONAL MEDICINE, 2018, 10 (467)
  • [8] Gut Microbiota Is Involved in Alcohol-Induced Osteoporosis in Young and Old Rats Through Immune Regulation
    Cheng, Ming
    Tan, Bo
    Wu, Xiaojing
    Liao, Feng
    Wang, Fei
    Huang, Zuoyao
    [J]. FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2021, 11
  • [9] Assessing the Relationship Between Gut Microbiota and Bone Mineral Density
    Cheng, Shiqiang
    Qi, Xin
    Ma, Mei
    Zhang, Lu
    Cheng, Bolun
    Liang, Chujun
    Liu, Li
    Li, Ping
    Kafle, Om Prakash
    Wen, Yan
    Zhang, Feng
    [J]. FRONTIERS IN GENETICS, 2020, 11
  • [10] Gut Microbiome: What We Do and Don't Know
    Cresci, Gail A.
    Bawden, Emmy
    [J]. NUTRITION IN CLINICAL PRACTICE, 2015, 30 (06) : 734 - 746