8 research outputs found

    Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)

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    Experimental biological model system outcomes such as altered animal movement capability or behaviour are difficult to quantify manually. Existing automatic movement tracking devices can be expensive and imposing upon the typical environment of the animal model. We have developed a novel multiplatform, free-to-use open-source application based on OpenCV, called AnimApp. Our results show that AnimApp can reliably and reproducibly track movement of small animals such as rodents or insects, and quantify parameters of action including distance and speed in order to detect activity changes arising from handling, environment enrichment, or temperature alteration. This system offers an accurate and reproducible experimental approach with potential for simple, fast and flexible analysis of movement and behaviour in a wide range of model systems

    Animal models of multiple myeloma

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    Multiple myeloma (MM) is a plasma cell neoplasm which is defined by strong interactions with the bone marrow microenvironment, a compartment with high cellular heterogeneity and unique structural and extracellular components. This necessitates the use of in vivo models for research to fully recapitulate MM growth conditions. The selection of appropriate model system is crucial, as each has advantages and shortcomings. Here, we describe the murine models available for studying MM, and focus on the methods for inoculating mice with MM cells via intravenous, intratibial or subcutaneous delivery, as well as monitoring of disease and organ processing for further analysis. The interaction and destruction of bone is a hallmark symptom of MM, and therefore many other complementary techniques used in calcified tissue research can be used, such as microCT, histomorphometry, and biomechanical testing

    The antidiabetic drug metformin acts on the bone microenvironment to promote myeloma cell adhesion to preosteoblasts and increase myeloma tumour burden in vivo

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    Multiple myeloma is a haematological malignancy that is dependent upon interactions within the bone microenvironment to drive tumour growth and osteolytic bone disease. Metformin is an anti-diabetic drug that has attracted attention due to its direct antitumor effects, including anti-myeloma properties. However, the impact of the bone microenvironment on the response to metformin in myeloma is unknown. We have employed in vitro and in vivo models to dissect out the direct effects of metformin in bone and the subsequent indirect myeloma response. We demonstrate how metformin treatment of preosteoblasts increases myeloma cell attachment. Metformin-treated preosteoblasts increased osteopontin (OPN) expression that upon silencing, reduced subsequent myeloma cell adherence. Proliferation markers were reduced in myeloma cells cocultured with metformin-treated preosteoblasts. In vivo, mice were treated with metformin for 4 weeks prior to inoculation of 5TGM1 myeloma cells. Metformin-pretreated mice had an increase in tumour burden, associated with an increase in osteolytic bone lesions and elevated OPN expression in the bone marrow. Collectively, we show that metformin increases OPN expression in preosteoblasts, increasing myeloma cell adherence. In vivo, this translates to an unexpected indirect pro-tumourigenic effect of metformin, highlighting the importance of the interdependence between myeloma cells and cells of the bone microenvironment

    Multiple myeloma increases nerve growth factor and other pain-related markers through interactions with the bone microenvironment

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    Interactions between multiple myeloma (MM) and bone marrow (BM) are well documented to support tumour growth, yet the cellular mechanisms underlying pain in MM are poorly understood. We have used in vivo murine models of MM to show significant induction of nerve growth factor (NGF) by the tumour-bearing bone microenvironment, alongside other known pain-related characteristics such as spinal glial cell activation and reduced locomotion. NGF was not expressed by MM cells, yet bone stromal cells such as osteoblasts expressed and upregulated NGF when cultured with MM cells, or MM-related factors such as TNF-α. Adiponectin is a known MM-suppressive BM-derived factor, and we show that TNF-α-mediated NGF induction is suppressed by adiponectin-directed therapeutics such as AdipoRON and L-4F, as well as NF-κB signalling inhibitor BMS-345541. Our study reveals a further mechanism by which cellular interactions within the tumour-bone microenvironment contribute to disease, by promoting pain-related properties, and suggests a novel direction for analgesic development

    Animal models of multiple myeloma

    No full text
    Multiple myeloma (MM) is a plasma cell neoplasm which is defined by strong interactions with the bone marrow microenvironment, a compartment with high cellular heterogeneity and unique structural and extracellular components. This necessitates the use of in vivo models for research to fully recapitulate MM growth conditions. The selection of appropriate model system is crucial, as each has advantages and shortcomings. Here, we describe the murine models available for studying MM, and focus on the methods for inoculating mice with MM cells via intravenous, intratibial or subcutaneous delivery, as well as monitoring of disease and organ processing for further analysis. The interaction and destruction of bone is a hallmark symptom of MM, and therefore many other complementary techniques used in calcified tissue research can be used, such as microCT, histomorphometry, and biomechanical testing
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