Integrin α2ß1 is involved in T-2 toxin-induced decrease of type II collagen in C28/I2 chondrocytes.

The T-2 toxin exerts a variety of toxic effects on both experimental animals and humans. The integrin family plays a major role in mediating cell-ECM interactions. Therefore, the present study aimed to investigate the involvement of integrin α2ß1 in T-2 toxin-induced C28/I2 chondrocyte damage. The pathological damage of articular cartilage injury induced by T-2 toxin was observed by H&E staining. The expression levels of collagen 2 and MMP-13 (Matrix metalloproteinases 13) were detected using immunohistochemistry in articular cartilage tissues and western blotting in the cells. The blocking effect of integrin α2ß1 inhibitor on T-2 toxin-induced chondrocyte matrix degradation was examined by western blotting. Further, the effect of integrin α2ß1 inhibitor on T-2 toxin-induced chondrocyte apoptosis was analyzed. About 100 ng/g body weight (BW)/day T-2 toxin was fed to Sprague-Dawley (SD) rats, T-2 toxin treatment (0, 6, 12, and 24 ng/mL) induced C28/I2 chondrocytes. Both in vivo and in vitro, chondrocyte survival was inhibited, and the production of type II collagen was significantly reduced (p < 0.05). However, the level of MMP-13 was up-regulated (p < 0.05). Matrix degradation was effectively blocked after the pre-treatment by integrin α2ß1 inhibitor (p < 0.05). Conclusively, Integrin α2ß1 is a critical signaling pathway for communication between cells and the extracellular matrix, the present study provides a new clue to elucidate the mechanism of T-2 toxin-induced chondrocyte damage.

Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery.

To achieve efficient lossless compression of hyperspectral images, we design a concatenated neural network, which is capable of extracting both spatial and spectral correlations for accurate pixel value prediction. Unlike conventional neural network based methods in the literature, the proposed neural network functions as an adaptive filter, thereby eliminating the need for pre-training using decompressed data. To meet the demand for low-complexity onboard processing, we use a shallow network with only two hidden layers for efficient feature extraction and predictive filtering. Extensive simulations on commonly used hyperspectral datasets and the standard CCSDS test datasets show that the proposed approach attains significant improvements over several other state-of-the-art methods, including standard compressors such as ESA, CCSDS-122, and CCSDS-123.

Changes in osteogenic gene expression in hypertrophic chondrocytes induced by SIN-1.

The molecular mechanisms underlying osteoarthritis (OA) and Kashin-Beck disease (KBD) remain poorly understood. Hypertrophic chondrocytes serve an important role in the development of both OA and KBD, whereas oxidative stress can contribute to the pathological progression of cartilage damage. Therefore, the aim of the present study was to detect altered expression of osteogenesis-related genes in hypertrophic chondrocytes, following treatment with 3-morpholinosydnonimine (SIN-1). ATDC5 cells were induced to develop into hypertrophic chondrocytes via Insulin-Transferrin-Selenium. The appropriate concentration and time of SIN-1 treatment was determined via MTT assay. Following hypertrophic chondrocyte stimulation with SIN-1, a liquid chip was analyzed using a polymerase chain reaction (PCR) array. Reverse transcription-quantitative PCR was conducted on individual genes to validate the array-based data. Analyses of protein-protein interactions, gene ontology functions and Kyoto Encyclopedia of Genes and Genomes pathway enrichment of the differentially expressed genes were also performed. A total of 6 upregulated and 34 downregulated genes were identified, including the mothers against decapentaplegic homolog (Smad) family (Smad1-4), bone morphogenetic proteins and their receptors (Bmp2, Bmp3, Bmpr1α and Bmpr1ß), and matrix metalloproteinases (MMP2,-9 and-10). These genes are associated with collagen biology, transcriptional control, skeletal development, bone mineral metabolism, and cell adhesion. SIN-1 induced death of hypertrophic chondrocytes likely through TGF-ß/Smad or BMP/Smad pathways. Oxidative-stress-dependent induction of abnormal gene expression may be associated with chondronecrosis in the cartilage of patients with OA or KBD.

3-morpholinosydnonimine (SIN-1)-induced oxidative stress leads to necrosis in hypertrophic chondrocytes in vitro.

Chondrocyte is targeted for disruption in Osteoarthritis (OA) and Kashin-Beck Disease (KBD), and chondrocyte death in cartilage may contribute to the progression of OA and KBD. Oxidative stress leads to increased risk for OA. Previous work in our laboratory implicates oxidative stress as a potential mediator in children with KBD. While these studies suggest a role for oxidative stress in the modulation of OA and KBD, the direct effects of reactive oxygen species/reactive nitrogen species (ROS/RNS) on the stability of this domain remain unclear. Here, we demonstrate that oxidative stress, as induced through treatment with 3-morpholinosydnonimine (SIN-1), a spontaneous ROS/RNS generator, decreased the cell viability in hypertrophic chondrocytes in a dose- and time- dependent manner. SIN-1 induced necrosis in hypertrophic chondrocytes, whereas triggered apoptosis in non-hypertrophic cells of non-differentiated ATDC5 cells and C28/I2 cells. Ultrastructural analysis of hypertrophic chondrocyte treated with SIN-1 revealed morphological changes, such as plasma membrane breakdown, generalized swelling of the cytoplasm and organelles, even to disappearance. Moreover, SIN-1 induced chondronecrosis in the deep zone of engineered cartilage tissue, such as cell-free vacancy and "red ghost" cells. Overall, we demonstrate for the first time that oxidative stress, as induced through exogenous ROS/RNS, leads to necrosis in hypertrophic chondrocytes. Oxidative stress-mediated necrotic cell death contributes to chondronecrosis in the deep zone of cartilage in both OA and KBD.

Gene Expression Profile of Hypertrophic Chondrocytes Treated with H2O2: A Preliminary Investigation.

Objective To identify the osteogenesis genes whose expression is altered in hypertrophic chondrocytes treated with H2O2. Methods Murine chondrogenitor cells (ATDC5) were differentiated into hypertrophic chondrocytes by Insulin-Transferrin-Selenium (ITS) treatment, and then treated with H2O2. Suitable conditions (concentration, time) were determined by using the MTT assay. After total RNA isolation and cDNA synthesis, the levels of 84 genes were determined using the PCR array, whereas quantitative RT-PCR was carried out to validate the PCR array data. Result We identified 9 up-regulated genes and 12 down-regulated genes, encoding proteins with various functions, such as collagen proteins, transcription factors, proteins involved in skeletal development and bone mineral metabolism, as well as cell adhesion molecules. Quantitative RT-PCR confirmed the altered expression of 5 down-regulated genes (Smad2, Smad4, transforming growth factor $\beta$ receptor 1, transforming growth factor $\beta$ receptor 3, and matrix metalloproteinase 10). Conclusions H2O2 significantly changed the expression of several genes involved in a variety of biological functions. Because of the link between oxidative damage and Kashin-Beck disease, these genes may also be involved in the deep-zone necrosis of the cartilage observed in Kashin-Beck disease.

Streak image denoising and segmentation using adaptive Gaussian guided filter.

In streak tube imaging lidar (STIL), streak images are obtained using a CCD camera. However, noise in the captured streak images can greatly affect the quality of reconstructed 3D contrast and range images. The greatest challenge for streak image denoising is reducing the noise while preserving details. In this paper, we propose an adaptive Gaussian guided filter (AGGF) for noise removal and detail enhancement of streak images. The proposed algorithm is based on a guided filter (GF) and part of an adaptive bilateral filter (ABF). In the AGGF, the details are enhanced by optimizing the offset parameter. AGGF-denoised streak images are significantly sharper than those denoised by the GF. Moreover, the AGGF is a fast linear time algorithm achieved by recursively implementing a Gaussian filter kernel. Experimentally, AGGF demonstrates its capacity to preserve edges and thin structures and outperforms the existing bilateral filter and domain transform filter in terms of both visual quality and peak signal-to-noise ratio performance.