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  • Open Access

    ARTICLE

    A novel mutation in ROR2 led to the loss of function of ROR2 and inhibited the osteogenic differentiation capability of bone marrow mesenchymal stem cells (BMSCs)

    WENQI CHEN1,#, XIAOYANG CHU2,#, YANG ZENG3,#, YOUSHENG YAN4, YIPENG WANG4, DONGLAN SUN1, DONGLIANG ZHANG5, JING ZHANG1,*, KAI YANG4,*

    BIOCELL, Vol.47, No.7, pp. 1561-1569, 2023, DOI:10.32604/biocell.2023.028851 - 21 June 2023

    Abstract Background: Receptor tyrosine kinase-like orphan receptor 2 (ROR2) has a vital role in osteogenesis. However, the mechanism underlying the regulation of ROR2 in osteogenic differentiation is still poorly comprehended. A previous study by our research group showed that a novel compound heterozygous ROR2 variation accounted for the autosomal recessive Robinow syndrome (ARRS). This study attempted to explore the impact of the ROR2: c.904C>T variant specifically on the osteogenic differentiation of BMSCs. Methods: Coimmunoprecipitation (CoIP)-western blotting was carried out to identify the interaction between ROR2 and Wnt5a. Double-immunofluorescence staining was used for determining the expressions and co-localization… More > Graphic Abstract

    A novel mutation in <i>ROR2</i> led to the loss of function of <i>ROR2</i> and inhibited the osteogenic differentiation capability of bone marrow mesenchymal stem cells (BMSCs)

  • Open Access

    VIEWPOINT

    Effect of non-enzymatic glycation on collagen nanoscale mechanisms in diabetic and age-related bone fragility

    JAMES L. ROSENBERG1, WILLIAM WOOLLEY1, IHSAN ELNUNU1, JULIA KAMML2, DAVID S. KAMMER2, CLAIRE ACEVEDO1,3,*

    BIOCELL, Vol.47, No.7, pp. 1651-1659, 2023, DOI:10.32604/biocell.2023.028014 - 21 June 2023

    Abstract Age and diabetes have long been known to induce an oxidative reaction between glucose and collagen, leading to the accumulation of advanced glycation end-products (AGEs) cross-links in collagenous tissues. More recently, AGEs content has been related to loss of bone quality, independent of bone mass, and increased fracture risk with aging and diabetes. Loss of bone quality is mostly attributed to changes in material properties, structural organization, or cellular remodeling. Though all these factors play a role in bone fragility disease, some common recurring patterns can be found between diabetic and age-related bone fragility. The More >

  • Open Access

    ARTICLE

    Senescent mesenchymal stem/stromal cells in pre-metastatic bone marrow of untreated advanced breast cancer patients

    FRANCISCO RAÚL BORZONE1,*, MARÍA BELÉN GIORELLO1, LEANDRO MARCELO MARTINEZ2, MARÍA CECILIA SANMARTIN1,3, LEONARDO FELDMAN4, FEDERICO DIMASE5, EMILIO BATAGELJ6, GUSTAVO YANNARELLI3, NORMA ALEJANDRA CHASSEING1,*

    Oncology Research, Vol.31, No.3, pp. 361-374, 2023, DOI:10.32604/or.2023.028104 - 22 May 2023

    Abstract Breast cancer is the predominant form of carcinoma among women worldwide, with 70% of advanced patients developing bone metastases, with a high mortality rate. In this sense, the bone marrow (BM) mesenchymal stem/stromal cells (MSCs) are critical for BM/bone homeostasis, and failures in their functionality, transform the BM into a pre-metastatic niche (PMN). We previously found that BM-MSCs from advanced breast cancer patients (BCPs, infiltrative ductal carcinoma, stage III-B) have an abnormal profile. This work aims to study some of the metabolic and molecular mechanisms underlying MSCs shift from a normal to an abnormal profile… More >

  • Open Access

    REVIEW

    Roles of miR-214 in bone physiology and disease

    LAKSHANA SADU#, R.HARI KRISHNAN#, R.L. AKSHAYA, I. SARANYA, UDIPT RANJAN DAS, SNEHA SATISHKUMAR, N. SELVAMURUGAN*

    BIOCELL, Vol.47, No.4, pp. 751-760, 2023, DOI:10.32604/biocell.2023.026911 - 08 March 2023

    Abstract MicroRNAs (miRNAs) are small non-coding RNAs (ncRNAs) that regulate the expression of their target mRNAs post-transcriptionally. Since their discovery, thousands of highly conserved miRNAs have been identified and investigated for their role in human health and diseases. MiR-214 has been increasingly reported to have an association with the regulation of bone metabolism. Reports suggested that miR-214 controls the critical aspects of osteoblasts (bone-forming cells), including their differentiation, proliferation, viability, and migration. Studies have also reported the functional significance of miR-214 in bone diseases and suggested its candidature as a diagnostic and therapeutic target. Further, targeting More >

  • Open Access

    ARTICLE

    Fractional Order Nonlinear Bone Remodeling Dynamics Using the Supervised Neural Network

    Narongsak Yotha1, Qusain Hiader2, Zulqurnain Sabir3, Muhammad Asif Zahoor Raja4, Salem Ben Said5, Qasem Al-Mdallal5, Thongchai Botmart6, Wajaree Weera6,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 2415-2430, 2023, DOI:10.32604/cmc.2023.031352 - 31 October 2022

    Abstract This study aims to solve the nonlinear fractional-order mathematical model (FOMM) by using the normal and dysregulated bone remodeling of the myeloma bone disease (MBD). For the more precise performance of the model, fractional-order derivatives have been used to solve the disease model numerically. The FOMM is preliminarily designed to focus on the critical interactions between bone resorption or osteoclasts (OC) and bone formation or osteoblasts (OB). The connections of OC and OB are represented by a nonlinear differential system based on the cellular components, which depict stable fluctuation in the usual bone case and… More >

  • Open Access

    ARTICLE

    DSAFF-Net: A Backbone Network Based on Mask R-CNN for Small Object Detection

    Jian Peng1,2, Yifang Zhao1,2, Dengyong Zhang1,2,*, Feng Li1,2, Arun Kumar Sangaiah3

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3405-3419, 2023, DOI:10.32604/cmc.2023.027627 - 31 October 2022

    Abstract Recently, object detection based on convolutional neural networks (CNNs) has developed rapidly. The backbone networks for basic feature extraction are an important component of the whole detection task. Therefore, we present a new feature extraction strategy in this paper, which name is DSAFF-Net. In this strategy, we design: 1) a sandwich attention feature fusion module (SAFF module). Its purpose is to enhance the semantic information of shallow features and resolution of deep features, which is beneficial to small object detection after feature fusion. 2) to add a new stage called D-block to alleviate the disadvantages… More >

  • Open Access

    ARTICLE

    miR-103-3p regulates the differentiation of bone marrow mesenchymal stem cells in myelodysplastic syndrome

    NINGYU LI1,2,#, XIAOFANG CHEN2,#,§, SUXIA GENG2, PEILONG LAI2, LISI HUANG2, MINMING LI2, XIN HUANG2, CHENGXIN DENG2, YULIAN WANG2, JIANYU WENG2, XIN DU1,2,*

    BIOCELL, Vol.47, No.1, pp. 133-141, 2023, DOI:10.32604/biocell.2022.022021 - 26 September 2022

    Abstract The pathogenesis of myelodysplastic syndrome (MDS) may be related to the abnormal expression of microRNAs (miRNAs), which could influence the differentiation capacity of mesenchymal stem cells (MSCs) towards adipogenic and osteogenic lineages. In this study, exosomes from bone marrow plasma were successfully extracted and identified. Assessment of miR-103-3p expression in exosomes isolated from BM in 34 MDS patients and 10 controls revealed its 0.52-fold downregulation in patients with MDS compared with controls (NOR) and was downregulated 0.55-fold in MDS-MSCs compared with NOR-MSCs. Transfection of MDS-MSCs with the miR-103-3p mimic improved osteogenic differentiation and decreased adipogenic differentiation More >

  • Open Access

    ARTICLE

    CVIP-Net: A Convolutional Neural Network-Based Model for Forensic Radiology Image Classification

    Syeda Naila Batool, Ghulam Gilanie*

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1319-1332, 2023, DOI:10.32604/cmc.2023.032121 - 22 September 2022

    Abstract Automated and autonomous decisions of image classification systems have essential applicability in this modern age even. Image-based decisions are commonly taken through explicit or auto-feature engineering of images. In forensic radiology, auto decisions based on images significantly affect the automation of various tasks. This study aims to assist forensic radiology in its biological profile estimation when only bones are left. A benchmarked dataset Radiology Society of North America (RSNA) has been used for research and experiments. Additionally, a locally developed dataset has also been used for research and experiments to cross-validate the results. A Convolutional… More >

  • Open Access

    CASE REPORT

    Gastric Cancer with Bone Marrow Invasion and Disseminated Intravascular Coagulation: A Case Report

    Lilan Chen, Lu Lu, Xinlei Gong, Yichen Xu, Xiaoyuan Chu*, Guichun Huang*

    Oncologie, Vol.24, No.3, pp. 599-604, 2022, DOI:10.32604/oncologie.2022.023310 - 19 September 2022

    Abstract Gastric cancer is the fifth most commonly diagnosed cancer and the fourth leading cause of cancer death worldwide in 2020. Gastric cancer usually undergoes lymph node metastasis and implantation metastasis, but bone metastasis and bone marrow invasion are rare. However, gastric cancer patients with bone marrow invasion usually have cancer emergency, so special attention should be paid in clinical practice. Herein, we analyzed the clinical characteristics of an asian gastric cancer patient with bone marrow invasion and disseminated intravascular coagulation (DIC) in our hospital and summarized the diagnosis and treatment experience to provide a reference More >

  • Open Access

    ARTICLE

    Metaheuristic with Deep Learning Enabled Biomedical Bone Age Assessment and Classification Model

    Mesfer Al Duhayyim1,*, Areej A. Malibari2, Marwa Obayya3, Mohamed K. Nour4, Ahmed S. Salama5, Mohamed I. Eldesouki6, Abu Sarwar Zamani7, Mohammed Rizwanullah7

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5473-5489, 2022, DOI:10.32604/cmc.2022.031976 - 28 July 2022

    Abstract The skeletal bone age assessment (BAA) was extremely implemented in development prediction and auxiliary analysis of medicinal issues. X-ray images of hands were detected from the estimation of bone age, whereas the ossification centers of epiphysis and carpal bones are important regions. The typical skeletal BAA approaches remove these regions for predicting the bone age, however, few of them attain suitable efficacy or accuracy. Automatic BAA techniques with deep learning (DL) methods are reached the leading efficiency on manual and typical approaches. Therefore, this study introduces an intellectual skeletal bone age assessment and classification with… More >

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