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Shi J, Lee S, Uyeda M, Tanjaya J, Kim JK, Pan HC, Reese P, Stodieck L, Lin A, Ting K, Kwak JH, Soo C. Guidelines for Dual Energy X-Ray Absorptiometry Analysis of Trabecular Bone-Rich Regions in Mice: Improved Precision, Accuracy, and Sensitivity for Assessing Longitudinal Bone Changes. Tissue Eng Part C Methods 2016; 22:451-63. [PMID: 26956416 DOI: 10.1089/ten.tec.2015.0383] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Trabecular bone is frequently studied in osteoporosis research because changes in trabecular bone are the most common cause of osteoporotic fractures. Dual energy X-ray absorptiometry (DXA) analysis specific to trabecular bone-rich regions is crucial to longitudinal osteoporosis research. The purpose of this study is to define a novel method for accurately analyzing trabecular bone-rich regions in mice via DXA. This method will be utilized to analyze scans obtained from the International Space Station in an upcoming study of microgravity-induced bone loss. Thirty 12-week-old BALB/c mice were studied. The novel method was developed by preanalyzing trabecular bone-rich sites in the distal femur, proximal tibia, and lumbar vertebrae via high-resolution X-ray imaging followed by DXA and micro-computed tomography (micro-CT) analyses. The key DXA steps described by the novel method were (1) proper mouse positioning, (2) region of interest (ROI) sizing, and (3) ROI positioning. The precision of the new method was assessed by reliability tests and a 14-week longitudinal study. The bone mineral content (BMC) data from DXA was then compared to the BMC data from micro-CT to assess accuracy. Bone mineral density (BMD) intra-class correlation coefficients of the new method ranging from 0.743 to 0.945 and Levene's test showing that there was significantly lower variances of data generated by new method both verified its consistency. By new method, a Bland-Altman plot displayed good agreement between DXA BMC and micro-CT BMC for all sites and they were strongly correlated at the distal femur and proximal tibia (r=0.846, p<0.01; r=0.879, p<0.01, respectively). The results suggest that the novel method for site-specific analysis of trabecular bone-rich regions in mice via DXA yields more precise, accurate, and repeatable BMD measurements than the conventional method.
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Affiliation(s)
- Jiayu Shi
- 1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California
| | - Soonchul Lee
- 2 Department of Orthopedic Surgery, CHA Bundang Medical Center, CHA University , School of Medicine, Gyeonggi-do, Republic of Korea.,3 Department of Orthopedic Surgery and the Orthopedic Hospital Research Center, University of California , Los Angeles, Los Angeles, California
| | - Michael Uyeda
- 3 Department of Orthopedic Surgery and the Orthopedic Hospital Research Center, University of California , Los Angeles, Los Angeles, California.,4 Division of Plastic and Reconstructive Surgery, Department of Surgery, David Geffen School of Medicine, University of California , Los Angeles, Los Angeles, California
| | - Justine Tanjaya
- 1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California
| | - Jong Kil Kim
- 1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California
| | - Hsin Chuan Pan
- 1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California
| | - Patricia Reese
- 1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California
| | - Louis Stodieck
- 5 Aerospace Engineering Sciences, University of Colorado , Boulder, Colorado
| | - Andy Lin
- 6 Institute for Digital Research and Education Statistical Consulting Group, University of California , Los Angeles, Los Angeles, California
| | - Kang Ting
- 1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California.,3 Department of Orthopedic Surgery and the Orthopedic Hospital Research Center, University of California , Los Angeles, Los Angeles, California
| | - Jin Hee Kwak
- 1 Division of Growth and Development and Section of Orthodontics, School of Dentistry, University of California , Los Angeles, Los Angeles, California
| | - Chia Soo
- 3 Department of Orthopedic Surgery and the Orthopedic Hospital Research Center, University of California , Los Angeles, Los Angeles, California.,4 Division of Plastic and Reconstructive Surgery, Department of Surgery, David Geffen School of Medicine, University of California , Los Angeles, Los Angeles, California
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Esapa CT, Bassett JHD, Evans H, Croucher PI, Williams GR, Thakker RV. Bone Mineral Content and Density. CURRENT PROTOCOLS IN MOUSE BIOLOGY 2012; 2:365-400. [PMID: 26069020 DOI: 10.1002/9780470942390.mo120124] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The availability of high-throughput biochemical and imaging techniques that can be used on live mice has increased the possibility of undertaking longitudinal studies to characterize skeletal changes such as bone mineral content and density. Further characterization of bone morphology, bone quality, and bone strength can also be achieved by analyzing dissected bones using techniques that provide higher resolution. Thus, the combined use of high-throughput [e.g., biochemical analysis of plasma, radiography and dual-energy X-ray absorptiometry (DEXA)] and secondary phenotyping techniques (e.g., histology, histomorphometry, Faxitron digital X-ray point projection microradiography, biomechanical testing, and micro-computed tomography) can be utilized for comprehensive characterization of bone structure and quality and to elucidate the underlying molecular mechanisms giving rise to musculoskeletal disorders. Curr. Protoc. Mouse Biol. 2:365-400 © 2012 by John Wiley & Sons, Inc.
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Affiliation(s)
- Christopher T Esapa
- MRC Mammalian Genetics Unit, MRC Harwell, Harwell Science and Innovation Campus, Oxfordshire, United Kingdom
- Academic Endocrine Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, Headington, Oxford, United Kingdom
| | - J H Duncan Bassett
- Molecular Endocrinology Group, Department of Medicine, Imperial College London, Hammersmith Campus, London, United Kingdom
| | - Holly Evans
- The Mellanby Centre for Bone Research, Department of Human Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - Peter I Croucher
- The Mellanby Centre for Bone Research, Department of Human Metabolism, University of Sheffield, Sheffield, United Kingdom
- Garvan Institute for Medical Research, Sydney, Australia
| | - Graham R Williams
- Molecular Endocrinology Group, Department of Medicine, Imperial College London, Hammersmith Campus, London, United Kingdom
| | - Rajesh V Thakker
- Academic Endocrine Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, Headington, Oxford, United Kingdom
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Mouse model for analysis of non-MHC genes that influence allogeneic response: recombinant congenic strains of OcB/Dem series that carry identical H2 locus. Open Life Sci 2006. [DOI: 10.2478/s11535-006-0002-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
AbstractAlloreactivity is the strongest known primary immune response. Its clinical manifestations are graft rejection, graft-versus-host disease and graft-versus-leukemia effect. The strongest stimulation by allogeneic cells is due to incompatibility at the major histocompatibility complex (MHC) genes. However, the non-MHC genes also participate in allogeneic response. Here we present a mouse model for study of the role of non-MHC genes in regulation of alloreactivity and show that they besides encoding antigens also regulate the responsiveness. Recombinant congenic strains (RCS) of O20/A (O20)-c-B10.O20/Dem (OcB/Dem) series have been derived from the parental strains O20 and B10.O20, which carry identical MHC haplotypes (H2pz) and therefore their differences in alloantigen response depend only on non-MHC genes. We have tested a MLR response by spleen cells of the strains O20, B10.O20, and 16 OcB/Dem strains through stimulation by cells from strains C57BL/10 (H2b), BALB/c (H2d), CBA (H2k), and DBA/1 (H2q) alloantigens. Proliferative response of O20, B10.O20 and OcB/Dem strains to these four alloantigens exhibited a similar but not completely identical pattern of reactivity. The responses to different alloantigens were highly correlated: C57BL/10-BALB/c r = 0.87, C57BL/10-CBA r = 0.84, C57BL/10-DBA/1 r = 0.83. Cluster analysis of the responses by O20, B10.O20, and OcB mice identified groups of strains with distinct patterns of response. This data shows that two main types of genes influence MLR: 1. structural genes for major and minor alloantigens and 2. genes regulating T-cell receptor signal transduction or mediating costimulatory signals by antigen-presenting cells.
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