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  • Open Access


    Estrogen-related receptor alpha: A novel perspective on skeletal, muscular, and vascular systems


    BIOCELL, Vol.48, No.2, pp. 191-203, 2024, DOI:10.32604/biocell.2023.045349

    Abstract Estrogen-related receptor alpha can significantly affect cell metabolism and play key regulatory roles in healthy and diseased organisms. ERRα is also related to the onset and progression of various cancer types. ERRα is primarily expressed in metabolically active tissues and regulates the transcription of metabolic genes in such tissues. It coordinates metabolism and energy demand, affects osteoblasts, osteoclasts, and chondrocytes, promotes muscle regeneration, participates in angiogenesis, and regulates cell aging. In this study, the literature related to the identification of ERRα in skeletal, muscular, and vascular systems was reviewed to further elucidate this receptor. More >

  • Open Access


    Long non-coding RNA MIR22HG inhibits the adipogenesis of human bone marrow mesenchymal stem cells with the involvement of Wnt/β-catenin pathway


    BIOCELL, Vol.46, No.7, pp. 1717-1724, 2022, DOI:10.32604/biocell.2022.018706

    Abstract Osteoporosis is a frequently occurring bone remodeling disorder worldwide with one characteristic being decreasing bone mineral density and a predisposition to bone fracture, which diminishes patients’ quality of life. Several studies showed that imbalance between the osteogenesis and adipogenesis of bone marrow mesenchymal stem cells (BMSCs) took part in the development of osteoporosis. In previous study, we found MIR22HG regulated the osteogenesis of human BMSCs positively. In this study, we found that MIR22HG was decreased during the adipogenesis of human BMSCs and exerted negative effects on adipogenesis with the involvement of Wnt/β-catenin signaling pathway both in More >

  • Open Access


    Implications of enolase in the RANKL-mediated osteoclast activity following spinal cord injury


    BIOCELL, Vol.45, No.6, pp. 1453-1457, 2021, DOI:10.32604/biocell.2021.017659

    Abstract Spinal Cord Injury (SCI) is a debilitating condition characterized by damage to the spinal cord, resulting in loss of function, mobility, and sensation. Although increasingly prevalent in the US, no FDA-approved therapy exists due to the unfortunate complexity of the condition, and the difficulties of SCI may be furthered by the development of SCI-related complications, such as osteoporosis. SCI demonstrates two crucial stages for consideration: the primary stage and the secondary stage. While the primary stage is suggested to be immediate and irreversible, the secondary stage is proposed as a promising window of opportunity for… More >

  • Open Access


    Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review

    Marrium Anam1, Vasaki a/p Ponnusamy2,*, Muzammil Hussain3, Muhammad Waqas Nadeem2,4, Mazhar Javed3, Hock Guan Goh2, Sadia Qadeer3

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 89-105, 2021, DOI:10.32604/cmc.2021.013159

    Abstract Trabecular bone holds the utmost importance due to its significance regarding early bone loss. Diseases like osteoporosis greatly affect the structure of the Trabecular bone which results in different outcomes like high risk of fracture. The objective of this paper is to inspect the characteristics of the Trabecular Bone by using the Magnetic Resonance Imaging (MRI) technique. These characteristics prove to be quite helpful in studying different studies related to Trabecular bone such as osteoporosis. The things that were considered before the selection of the articles for the systematic review were language, research field, and… More >

  • Open Access


    Deep Learning in DXA Image Segmentation

    Dildar Hussain1, Rizwan Ali Naqvi2, Woong-Kee Loh3, Jooyoung Lee1,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2587-2598, 2021, DOI:10.32604/cmc.2021.013031

    Abstract Many existing techniques to acquire dual-energy X-ray absorptiometry (DXA) images are unable to accurately distinguish between bone and soft tissue. For the most part, this failure stems from bone shape variability, noise and low contrast in DXA images, inconsistent X-ray beam penetration producing shadowing effects, and person-to-person variations. This work explores the feasibility of using state-of-the-art deep learning semantic segmentation models, fully convolutional networks (FCNs), SegNet, and U-Net to distinguish femur bone from soft tissue. We investigated the performance of deep learning algorithms with reference to some of our previously applied conventional image segmentation techniques… More >

  • Open Access


    Numerical Evaluation of Trabecular Bone Alterations: A Cell Method Application

    Francesca Cosmi*

    Molecular & Cellular Biomechanics, Vol.12, No.2, pp. 87-105, 2015, DOI:10.3970/mcb.2015.012.087

    Abstract Bone tissue is a complex multi-scale material and its morphological and functional characteristics are influenced during one’s life by constant changes, physiological and pathological. A recent technique can classify the mechanical response of trabecular bone by simulating the application of loads with a Cell Method model derived from plane radiographic images of the proximal epiphyses in the patient’s hand fingers, thus complementing the individual assessment with a low cost exam. The mesoscale pathological modifications (i.e. due to osteoporosis) can be detected and quantified, despite the simplification due to the use of radiograms. In this work, More >

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