Gut microbiota is associated with bone mineral density: an observational and genome-wide environmental interaction analysis in the UK Biobank cohort

Aims: Despite the interest in the association of gut microbiota with bone health, limited population-based studies of gut microbiota and bone mineral density (BMD) have been made. Our aim is to explore the possible association between gut microbiota and BMD. Methods: A total of 3,321 independent loc...

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Autores principales:	Bolun Cheng, Yan Wen, Xuena Yang, Shiqiang Cheng, Li Liu, Xiaomeng Chu, Jing Ye, Chujun Liang, Yao Yao, Yumeng Jia, Feng Zhang
Formato:	article
Lenguaje:	EN
Publicado:	The British Editorial Society of Bone & Joint Surgery 2021
Materias:	gut microbiota bone mineral density polygenic risk score bone mineral density (bmd) femur single-nucleotide polymorphisms (snps) linear regression models osteoporosis osteoblasts bone formation macrophages bone density loss bone metabolism Diseases of the musculoskeletal system RC925-935
Acceso en línea:	https://doaj.org/article/bf0bdb2e849c413cb25b64bfaa0e07a4
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spelling	oai:doaj.org-article:bf0bdb2e849c413cb25b64bfaa0e07a42021-12-01T18:46:59ZGut microbiota is associated with bone mineral density: an observational and genome-wide environmental interaction analysis in the UK Biobank cohort2046-375810.1302/2046-3758.1011.BJR-2021-0181.R1https://doaj.org/article/bf0bdb2e849c413cb25b64bfaa0e07a42021-11-01T00:00:00Zhttps://online.boneandjoint.org.uk/doi/epdf/10.1302/2046-3758.1011.BJR-2021-0181.R1https://doaj.org/toc/2046-3758Aims: Despite the interest in the association of gut microbiota with bone health, limited population-based studies of gut microbiota and bone mineral density (BMD) have been made. Our aim is to explore the possible association between gut microbiota and BMD. Methods: A total of 3,321 independent loci of gut microbiota were used to calculate the individual polygenic risk score (PRS) for 114 gut microbiota-related traits. The individual genotype data were obtained from UK Biobank cohort. Linear regressions were then conducted to evaluate the possible association of gut microbiota with L1-L4 BMD (n = 4,070), total BMD (n = 4,056), and femur total BMD (n = 4,054), respectively. PLINK 2.0 was used to detect the single-nucleotide polymorphism (SNP) × gut microbiota interaction effect on the risks of L1-L4 BMD, total BMD, and femur total BMD, respectively. Results: We detected five, three, and seven candidate gut microbiota-related traits for L1-L4 BMD, total BMD, and femur BMD, respectively, such as genus Dialister (p = 0.004) for L1-L4 BMD, and genus Eisenbergiella (p = 0.046) for total BMD. We also detected two common gut microbiota-related traits shared by L1-L4 BMD, total BMD, and femur total BMD, including genus Escherichia Shigella and genus Lactococcus. Interaction analysis of BMD detected several genes that interacted with gut microbiota, such as phospholipase D1 (PLD1) and endomucin (EMCN) interacting with genus Dialister in total BMD, and COL12A1 and Discs Large MAGUK Scaffold Protein 2 (DLG2) interacting with genus Lactococcus in femur BMD. Conclusion: Our results suggest associations between gut microbiota and BMD, which will be helpful to further explore the regulation mechanism and intervention gut microbiota of BMD. Cite this article: Bone Joint Res 2021;10(11):734–741.Bolun ChengYan WenXuena YangShiqiang ChengLi LiuXiaomeng ChuJing YeChujun LiangYao YaoYumeng JiaFeng ZhangThe British Editorial Society of Bone & Joint Surgeryarticlegut microbiotabone mineral densitypolygenic risk scorebone mineral density (bmd)femursingle-nucleotide polymorphisms (snps)linear regression modelsosteoporosisosteoblastsbone formationmacrophagesbone density lossbone metabolismDiseases of the musculoskeletal systemRC925-935ENBone & Joint Research, Vol 10, Iss 11, Pp 734-741 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gut microbiota bone mineral density polygenic risk score bone mineral density (bmd) femur single-nucleotide polymorphisms (snps) linear regression models osteoporosis osteoblasts bone formation macrophages bone density loss bone metabolism Diseases of the musculoskeletal system RC925-935
spellingShingle	gut microbiota bone mineral density polygenic risk score bone mineral density (bmd) femur single-nucleotide polymorphisms (snps) linear regression models osteoporosis osteoblasts bone formation macrophages bone density loss bone metabolism Diseases of the musculoskeletal system RC925-935 Bolun Cheng Yan Wen Xuena Yang Shiqiang Cheng Li Liu Xiaomeng Chu Jing Ye Chujun Liang Yao Yao Yumeng Jia Feng Zhang Gut microbiota is associated with bone mineral density: an observational and genome-wide environmental interaction analysis in the UK Biobank cohort
description	Aims: Despite the interest in the association of gut microbiota with bone health, limited population-based studies of gut microbiota and bone mineral density (BMD) have been made. Our aim is to explore the possible association between gut microbiota and BMD. Methods: A total of 3,321 independent loci of gut microbiota were used to calculate the individual polygenic risk score (PRS) for 114 gut microbiota-related traits. The individual genotype data were obtained from UK Biobank cohort. Linear regressions were then conducted to evaluate the possible association of gut microbiota with L1-L4 BMD (n = 4,070), total BMD (n = 4,056), and femur total BMD (n = 4,054), respectively. PLINK 2.0 was used to detect the single-nucleotide polymorphism (SNP) × gut microbiota interaction effect on the risks of L1-L4 BMD, total BMD, and femur total BMD, respectively. Results: We detected five, three, and seven candidate gut microbiota-related traits for L1-L4 BMD, total BMD, and femur BMD, respectively, such as genus Dialister (p = 0.004) for L1-L4 BMD, and genus Eisenbergiella (p = 0.046) for total BMD. We also detected two common gut microbiota-related traits shared by L1-L4 BMD, total BMD, and femur total BMD, including genus Escherichia Shigella and genus Lactococcus. Interaction analysis of BMD detected several genes that interacted with gut microbiota, such as phospholipase D1 (PLD1) and endomucin (EMCN) interacting with genus Dialister in total BMD, and COL12A1 and Discs Large MAGUK Scaffold Protein 2 (DLG2) interacting with genus Lactococcus in femur BMD. Conclusion: Our results suggest associations between gut microbiota and BMD, which will be helpful to further explore the regulation mechanism and intervention gut microbiota of BMD. Cite this article: Bone Joint Res 2021;10(11):734–741.
format	article
author	Bolun Cheng Yan Wen Xuena Yang Shiqiang Cheng Li Liu Xiaomeng Chu Jing Ye Chujun Liang Yao Yao Yumeng Jia Feng Zhang
author_facet	Bolun Cheng Yan Wen Xuena Yang Shiqiang Cheng Li Liu Xiaomeng Chu Jing Ye Chujun Liang Yao Yao Yumeng Jia Feng Zhang
author_sort	Bolun Cheng
title	Gut microbiota is associated with bone mineral density: an observational and genome-wide environmental interaction analysis in the UK Biobank cohort
title_short	Gut microbiota is associated with bone mineral density: an observational and genome-wide environmental interaction analysis in the UK Biobank cohort
title_full	Gut microbiota is associated with bone mineral density: an observational and genome-wide environmental interaction analysis in the UK Biobank cohort
title_fullStr	Gut microbiota is associated with bone mineral density: an observational and genome-wide environmental interaction analysis in the UK Biobank cohort
title_full_unstemmed	Gut microbiota is associated with bone mineral density: an observational and genome-wide environmental interaction analysis in the UK Biobank cohort
title_sort	gut microbiota is associated with bone mineral density: an observational and genome-wide environmental interaction analysis in the uk biobank cohort
publisher	The British Editorial Society of Bone & Joint Surgery
publishDate	2021
url	https://doaj.org/article/bf0bdb2e849c413cb25b64bfaa0e07a4
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Gut microbiota is associated with bone mineral density: an observational and genome-wide environmental interaction analysis in the UK Biobank cohort

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