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      GPR109A mediates the effects of hippuric acid on regulating osteoclastogenesis and bone resorption in mice

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          Abstract

          The G protein-coupled receptor 109 A (GPR109A) is robustly expressed in osteoclastic precursor macrophages. Previous studies suggested that GPR109A mediates effects of diet-derived phenolic acids such as hippuric acid (HA) and 3-(3-hydroxyphenyl) propionic acid (3-3-PPA) on promoting bone formation. However, the role of GPR109A in metabolic bone homeostasis and osteoclast differentiation has not been investigated. Using densitometric, bone histologic and molecular signaling analytic methods, we uncovered that bone mass and strength were significantly higher in tibia and spine of standard rodent diet weaned 4-week-old and 6-month-old GPR109A gene deletion (GPR109A −/−) mice, compared to their wild type controls. Osteoclast numbers in bone and in ex vivo bone marrow cell cultures were significantly decreased in GPR109A −/− mice compared to wild type controls. In accordance with these data, CTX-1 in bone marrow plasma and gene expression of bone resorption markers (TNFα, TRAP, Cathepsin K) were significantly decreased in GPR109A −/− mice, while on the other hand, P1NP was increased in serum from both male and female GPR109A −/− mice compared to their respective controls. GPR109A deletion led to suppressed Wnt/β-catenin signaling in osteoclast precursors to inhibit osteoclast differentiation and activity. Indeed, HA and 3-3-PPA substantially inhibited RANKL-induced GPR109A expression and Wnt/β-catenin signaling in osteoclast precursors and osteoclast differentiation. Resultantly, HA significantly inhibited bone resorption and increased bone mass in wild type mice, but had no additional effects on bone in GPR109A −/− mice compared with their respective untreated control mice. These results suggest an important role for GPR109A during osteoclast differentiation and bone resorption mediating effects of HA and 3-3-PPA on inhibiting bone resorption during skeletal development.

          Abstract

          Chen et al. show that hippuric acid (HA), which is a diet-derived phenolic acid, inhibits bone resorption and increases bone mass in wild type mice, but not in G-protein coupled receptor (GPR109A) knockout mice. This study suggests that GPR109A mediates the effects of HA on inhibiting bone resorption during skeletal development.

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          QIIME allows analysis of high-throughput community sequencing data.

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            Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences

            Profiling phylogenetic marker genes, such as the 16S rRNA gene, is a key tool for studies of microbial communities but does not provide direct evidence of a community’s functional capabilities. Here we describe PICRUSt (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States), a computational approach to predict the functional composition of a metagenome using marker gene data and a database of reference genomes. PICRUSt uses an extended ancestral-state reconstruction algorithm to predict which gene families are present and then combines gene families to estimate the composite metagenome. Using 16S information, PICRUSt recaptures key findings from the Human Microbiome Project and accurately predicts the abundance of gene families in host-associated and environmental communities, with quantifiable uncertainty. Our results demonstrate that phylogeny and function are sufficiently linked that this ‘predictive metagenomic’ approach should provide useful insights into the thousands of uncultivated microbial communities for which only marker gene surveys are currently available.
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              Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform.

              Rapid advances in sequencing technology have changed the experimental landscape of microbial ecology. In the last 10 years, the field has moved from sequencing hundreds of 16S rRNA gene fragments per study using clone libraries to the sequencing of millions of fragments per study using next-generation sequencing technologies from 454 and Illumina. As these technologies advance, it is critical to assess the strengths, weaknesses, and overall suitability of these platforms for the interrogation of microbial communities. Here, we present an improved method for sequencing variable regions within the 16S rRNA gene using Illumina's MiSeq platform, which is currently capable of producing paired 250-nucleotide reads. We evaluated three overlapping regions of the 16S rRNA gene that vary in length (i.e., V34, V4, and V45) by resequencing a mock community and natural samples from human feces, mouse feces, and soil. By titrating the concentration of 16S rRNA gene amplicons applied to the flow cell and using a quality score-based approach to correct discrepancies between reads used to construct contigs, we were able to reduce error rates by as much as two orders of magnitude. Finally, we reprocessed samples from a previous study to demonstrate that large numbers of samples could be multiplexed and sequenced in parallel with shotgun metagenomes. These analyses demonstrate that our approach can provide data that are at least as good as that generated by the 454 platform while providing considerably higher sequencing coverage for a fraction of the cost.
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                Author and article information

                Contributors
                chenjinran@uams.edu
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                8 January 2021
                8 January 2021
                2021
                : 4
                : 53
                Affiliations
                [1 ]GRID grid.463419.d, ISNI 0000 0001 0946 3608, Arkansas Children’s Nutrition Center, ; Little Rock, AR 72202 USA
                [2 ]GRID grid.241054.6, ISNI 0000 0004 4687 1637, Department of Pediatrics, , University of Arkansas for Medical Sciences, ; Little Rock, AR 72202 USA
                [3 ]GRID grid.241054.6, ISNI 0000 0004 4687 1637, Myeloma Center, , University of Arkansas for Medical Sciences, ; Little Rock, AR 72202 USA
                [4 ]GRID grid.430503.1, ISNI 0000 0001 0703 675X, Present Address: Department of Pediatrics, Section of Nutrition, , University of Colorado School of Medicine, ; Aurora, CO 80045 USA
                Author information
                http://orcid.org/0000-0001-6984-5878
                Article
                1564
                10.1038/s42003-020-01564-2
                7794563
                33420329
                5a95b2a2-c6df-4a60-88ce-2532b385081f
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 11 February 2020
                : 26 November 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100007917, United States Department of Agriculture | Agricultural Research Service (USDA Agricultural Research Service);
                Award ID: 6026-51000-010-05S
                Award Recipient :
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                © The Author(s) 2021

                bone remodelling,bone quality and biomechanics
                bone remodelling, bone quality and biomechanics

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