AUTHOR=Okoro Paul C. , Orwoll Eric S. , Huttenhower Curtis , Morgan Xochitl , Kuntz Thomas M. , McIver Lauren J. , Dufour Alyssa B. , Bouxsein Mary L. , Langsetmo Lisa , Farsijani Samaneh , Kado Deborah M. , Pacifici Roberto , Sahni Shivani , Kiel Douglas P. TITLE=A two-cohort study on the association between the gut microbiota and bone density, microarchitecture, and strength JOURNAL=Frontiers in Endocrinology VOLUME=14 YEAR=2023 URL=https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2023.1237727 DOI=10.3389/fendo.2023.1237727 ISSN=1664-2392 ABSTRACT=
The gut microbiome affects the inflammatory environment through effects on T-cells, which influence the production of immune mediators and inflammatory cytokines that stimulate osteoclastogenesis and bone loss in mice. However, there are few large human studies of the gut microbiome and skeletal health. We investigated the association between the human gut microbiome and high resolution peripheral quantitative computed tomography (HR-pQCT) scans of the radius and tibia in two large cohorts; Framingham Heart Study (FHS [n=1227, age range: 32 – 89]), and the Osteoporosis in Men Study (MrOS [n=836, age range: 78 – 98]). Stool samples from study participants underwent amplification and sequencing of the V4 hypervariable region of the 16S rRNA gene. The resulting 16S rRNA sequencing data were processed separately for each cohort, with the DADA2 pipeline incorporated in the16S bioBakery workflow. Resulting amplicon sequence variants were assigned taxonomies using the SILVA reference database. Controlling for multiple covariates, we tested for associations between microbial taxa abundances and HR-pQCT measures using general linear models as implemented in microbiome multivariable association with linear model (MaAslin2). Abundance of 37 microbial genera in FHS, and 4 genera in MrOS, were associated with various skeletal measures (false discovery rate [FDR] ≤ 0.1) including the association of