Cargando…
Gut Microbiota and Serum Metabolic Signatures of High-Fat-Induced Bone Loss in Mice
BACKGROUND: Accumulating evidence indicates that high-fat diet (HFD) is a controllable risk factor for osteoporosis, but the underlying mechanism remains to be elucidated. As a primary biological barrier for nutrient entry into the human body, the composition and function of gut microbiota (GM) can...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727351/ https://www.ncbi.nlm.nih.gov/pubmed/35004355 http://dx.doi.org/10.3389/fcimb.2021.788576 |
_version_ | 1784626506632265728 |
---|---|
author | Lu, Lingyun Tang, Mengjia Li, Jiao Xie, Ying Li, Yujue Xie, Jinwei Zhou, Li Liu, Yi Yu, Xijie |
author_facet | Lu, Lingyun Tang, Mengjia Li, Jiao Xie, Ying Li, Yujue Xie, Jinwei Zhou, Li Liu, Yi Yu, Xijie |
author_sort | Lu, Lingyun |
collection | PubMed |
description | BACKGROUND: Accumulating evidence indicates that high-fat diet (HFD) is a controllable risk factor for osteoporosis, but the underlying mechanism remains to be elucidated. As a primary biological barrier for nutrient entry into the human body, the composition and function of gut microbiota (GM) can be altered rapidly by HFD, which may trigger abnormal bone metabolism. In the current study, we analyzed the signatures of GM and serum metabolomics in HFD-induced bone loss and explored the potential correlations of GM and serum metabolites on HFD-related bone loss. METHODS: We conducted a mouse model with HFD-induced bone loss through a 12-week diet intervention. Micro-CT, Osmium-μCT, and histological analyses were used to observe bone microstructure and bone marrow adipose tissue. Quantitative Real-Time PCR was applied to analyze gene expression related to osteogenesis, adipogenesis, and osteoclastogenesis. Enzyme-linked immunosorbent assay was used to measure the biochemical markers of bone turnover. 16s rDNA sequencing was employed to analyze the abundance of GM, and UHPLC-MS/MS was used to identify serum metabolites. Correlation analysis was performed to explore the relationships among bone phenotypes, GM, and the metabolome. RESULTS: HFD induced bone loss accompanied by bone marrow adipose tissue expansion and bone formation inhibition. In the HFD group, the relative abundance of Firmicutes was increased significantly, while Bacteroidetes, Actinobacteria, Epsilonbacteraeota, and Patescibacteria were decreased compared with the ND group. Association analysis showed that thirty-two bacterial genera were significantly related to bone volume per tissue volume (BV/TV). One hundred and forty-five serum metabolites were identified as differential metabolites associated with HFD intervention, which were significantly enriched in five pathways, such as purine metabolism, regulation of lipolysis in adipocyte and cGMP-PKG signaling pathway. Sixty-four diffiential metabolites were matched to the MS2 spectra; and ten of them were positively correlated with BV/TV and five were negatively correlated with BV/TV. CONCLUSIONS: These findings indicated that the alternations of GM and serum metabolites were related to HFD-induced bone loss, which might provide new insights into explain the occurrence and development of HFD-related osteoporosis. The regulatory effects of GM and metabolites associated with HFD on bone homeostasis required further exploration. |
format | Online Article Text |
id | pubmed-8727351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87273512022-01-06 Gut Microbiota and Serum Metabolic Signatures of High-Fat-Induced Bone Loss in Mice Lu, Lingyun Tang, Mengjia Li, Jiao Xie, Ying Li, Yujue Xie, Jinwei Zhou, Li Liu, Yi Yu, Xijie Front Cell Infect Microbiol Cellular and Infection Microbiology BACKGROUND: Accumulating evidence indicates that high-fat diet (HFD) is a controllable risk factor for osteoporosis, but the underlying mechanism remains to be elucidated. As a primary biological barrier for nutrient entry into the human body, the composition and function of gut microbiota (GM) can be altered rapidly by HFD, which may trigger abnormal bone metabolism. In the current study, we analyzed the signatures of GM and serum metabolomics in HFD-induced bone loss and explored the potential correlations of GM and serum metabolites on HFD-related bone loss. METHODS: We conducted a mouse model with HFD-induced bone loss through a 12-week diet intervention. Micro-CT, Osmium-μCT, and histological analyses were used to observe bone microstructure and bone marrow adipose tissue. Quantitative Real-Time PCR was applied to analyze gene expression related to osteogenesis, adipogenesis, and osteoclastogenesis. Enzyme-linked immunosorbent assay was used to measure the biochemical markers of bone turnover. 16s rDNA sequencing was employed to analyze the abundance of GM, and UHPLC-MS/MS was used to identify serum metabolites. Correlation analysis was performed to explore the relationships among bone phenotypes, GM, and the metabolome. RESULTS: HFD induced bone loss accompanied by bone marrow adipose tissue expansion and bone formation inhibition. In the HFD group, the relative abundance of Firmicutes was increased significantly, while Bacteroidetes, Actinobacteria, Epsilonbacteraeota, and Patescibacteria were decreased compared with the ND group. Association analysis showed that thirty-two bacterial genera were significantly related to bone volume per tissue volume (BV/TV). One hundred and forty-five serum metabolites were identified as differential metabolites associated with HFD intervention, which were significantly enriched in five pathways, such as purine metabolism, regulation of lipolysis in adipocyte and cGMP-PKG signaling pathway. Sixty-four diffiential metabolites were matched to the MS2 spectra; and ten of them were positively correlated with BV/TV and five were negatively correlated with BV/TV. CONCLUSIONS: These findings indicated that the alternations of GM and serum metabolites were related to HFD-induced bone loss, which might provide new insights into explain the occurrence and development of HFD-related osteoporosis. The regulatory effects of GM and metabolites associated with HFD on bone homeostasis required further exploration. Frontiers Media S.A. 2021-12-22 /pmc/articles/PMC8727351/ /pubmed/35004355 http://dx.doi.org/10.3389/fcimb.2021.788576 Text en Copyright © 2021 Lu, Tang, Li, Xie, Li, Xie, Zhou, Liu and Yu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Lu, Lingyun Tang, Mengjia Li, Jiao Xie, Ying Li, Yujue Xie, Jinwei Zhou, Li Liu, Yi Yu, Xijie Gut Microbiota and Serum Metabolic Signatures of High-Fat-Induced Bone Loss in Mice |
title | Gut Microbiota and Serum Metabolic Signatures of High-Fat-Induced Bone Loss in Mice |
title_full | Gut Microbiota and Serum Metabolic Signatures of High-Fat-Induced Bone Loss in Mice |
title_fullStr | Gut Microbiota and Serum Metabolic Signatures of High-Fat-Induced Bone Loss in Mice |
title_full_unstemmed | Gut Microbiota and Serum Metabolic Signatures of High-Fat-Induced Bone Loss in Mice |
title_short | Gut Microbiota and Serum Metabolic Signatures of High-Fat-Induced Bone Loss in Mice |
title_sort | gut microbiota and serum metabolic signatures of high-fat-induced bone loss in mice |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727351/ https://www.ncbi.nlm.nih.gov/pubmed/35004355 http://dx.doi.org/10.3389/fcimb.2021.788576 |
work_keys_str_mv | AT lulingyun gutmicrobiotaandserummetabolicsignaturesofhighfatinducedbonelossinmice AT tangmengjia gutmicrobiotaandserummetabolicsignaturesofhighfatinducedbonelossinmice AT lijiao gutmicrobiotaandserummetabolicsignaturesofhighfatinducedbonelossinmice AT xieying gutmicrobiotaandserummetabolicsignaturesofhighfatinducedbonelossinmice AT liyujue gutmicrobiotaandserummetabolicsignaturesofhighfatinducedbonelossinmice AT xiejinwei gutmicrobiotaandserummetabolicsignaturesofhighfatinducedbonelossinmice AT zhouli gutmicrobiotaandserummetabolicsignaturesofhighfatinducedbonelossinmice AT liuyi gutmicrobiotaandserummetabolicsignaturesofhighfatinducedbonelossinmice AT yuxijie gutmicrobiotaandserummetabolicsignaturesofhighfatinducedbonelossinmice |