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      Osteocytes regulate bone anabolic response to mechanical loading in male mice via activation of integrin α5

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          Abstract

          Physical mechanical stimulation can maintain and even increase bone mass. Here, we report an important role of osteocytic integrin α5 in regulating the anabolic response of bone to mechanical loading using an Itga5 conditional gene knockout (cKO) mouse model. Integrin α5 gene deletion increased apoptotic osteocytes and reduced cortical anabolic responses to tibial compression including decreased endosteal osteoblasts and bone formation, and increased endosteal osteoclasts and bone resorption, contributing to the decreased bone area fraction and biomechanical properties, leading to an enlarged bone marrow area in cKO mice. Similar disruption of anabolic responses to mechanical loading was also detected in cKO trabecular bone. Moreover, integrin α5 deficiency impeded load-induced Cx43 hemichannel opening, and production and release of PGE2, an anabolic factor, resulting in attenuated effects of the loading on catabolic sclerostin (SOST) reduction and anabolic β-catenin increase. Together, this study shows an indispensable role of integrin α5 in osteocytes in the anabolic action of mechanical loading on skeletal tissue through activation of hemichannels and PGE2-evoked gene expression. Integrin α5 could act as a potential new therapeutic target for bone loss, especially in the elderly population with impeded mechanical sensitivity.

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          Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

          The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
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            WNT signaling in bone homeostasis and disease: from human mutations to treatments.

            Low bone mass and strength lead to fragility fractures, for example, in elderly individuals affected by osteoporosis or children with osteogenesis imperfecta. A decade ago, rare human mutations affecting bone negatively (osteoporosis-pseudoglioma syndrome) or positively (high-bone mass phenotype, sclerosteosis and Van Buchem disease) have been identified and found to all reside in components of the canonical WNT signaling machinery. Mouse genetics confirmed the importance of canonical Wnt signaling in the regulation of bone homeostasis, with activation of the pathway leading to increased, and inhibition leading to decreased, bone mass and strength. The importance of WNT signaling for bone has also been highlighted since then in the general population in numerous genome-wide association studies. The pathway is now the target for therapeutic intervention to restore bone strength in millions of patients at risk for fracture. This paper reviews our current understanding of the mechanisms by which WNT signalng regulates bone homeostasis.
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              The OARSI histopathology initiative - recommendations for histological assessments of osteoarthritis in the mouse.

              To describe a histologic scoring system for murine osteoarthritis (OA) that can be applied universally to instability, enzymatic, transgenic and spontaneous OA models. Scientists with expertise in assessing murine OA histopathology reviewed the merits and drawbacks of methods described in the literature. A semi-quantitative scoring system that could reasonably be employed in any basic cartilage histology laboratory was proposed. This scoring system was applied to a set of 10 images of the medial tibial plateau and femoral condyle to yield 20 scores. These images were scored twice by four experienced scorers (CL, SG, MC, TA), with a minimum time interval of 1 week between scores to obtain intra-observer variability. An additional three novice scorers (CR, CL and MM) with no previous experience evaluated the images to determine the ease of use and reproducibility across laboratories. The semi-quantitative scoring system was relatively easy to apply for both experienced and novice scorers and the results had low inter- and intra-scorer variability. The variation in scores across both the experienced and novice scorers was low for both tibia and femur, with the tibia always having greater consistency. The semi-quantitative scoring system recommended here is simple to apply and required no specialized equipment. Scoring of the tibial plateaus was highly reproducible and more consistent than that of the femur due to the much thinner femoral cartilage. This scoring system may be a useful tool for both new and experienced scorers to sensitively evaluate models and OA mechanisms, and also provide a common paradigm for comparative evaluation across the many groups performing these analyses. Copyright © 2010 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                jiangj@uthscsa.edu
                Journal
                Bone Res
                Bone Res
                Bone Research
                Nature Publishing Group UK (London )
                2095-4700
                2095-6231
                18 July 2022
                18 July 2022
                2022
                : 10
                : 49
                Affiliations
                [1 ]GRID grid.267309.9, ISNI 0000 0001 0629 5880, Department of Biochemistry and Structural Biology, , University of Texas Health Science Center, ; San Antonio, TX USA
                [2 ]GRID grid.440588.5, ISNI 0000 0001 0307 1240, School of Life Sciences, , Northwestern Polytechnical University, ; Xi’an, China
                [3 ]GRID grid.215352.2, ISNI 0000000121845633, Department of Biomedical Engineering and Chemical Engineering, , University of Texas, ; San Antonio, TX USA
                Author information
                http://orcid.org/0000-0002-3037-0358
                http://orcid.org/0000-0002-2185-5716
                Article
                222
                10.1038/s41413-022-00222-z
                9293884
                35851577
                b00c37b4-9003-43cb-b28e-5e93eb5fefa7
                © The Author(s) 2022

                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
                : 8 November 2021
                : 25 May 2022
                : 13 June 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100006955, U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (OER);
                Award ID: AR072020
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000928, Welch Foundation;
                Award ID: AQ-1507
                Award Recipient :
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                Article
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                © The Author(s) 2022

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

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