An outbreak of a novel coronavirus (COVID‐19 or 2019‐CoV) infection has posed significant threats to international health and the economy. In the absence of treatment for this virus, there is an ...urgent need to find alternative methods to control the spread of disease. Here, we have conducted an online search for all treatment options related to coronavirus infections as well as some RNA‐virus infection and we have found that general treatments, coronavirus‐specific treatments, and antiviral treatments should be useful in fighting COVID‐19. We suggest that the nutritional status of each infected patient should be evaluated before the administration of general treatments and the current children's RNA‐virus vaccines including influenza vaccine should be immunized for uninfected people and health care workers. In addition, convalescent plasma should be given to COVID‐19 patients if it is available. In conclusion, we suggest that all the potential interventions be implemented to control the emerging COVID‐19 if the infection is uncontrollable.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Robust exemplar extraction from the noisy sample set is one of the most important problems in pattern recognition. In this brief, we propose a novel approach for exemplar extraction through ...structured sparse learning. The new model accounts for not only the reconstruction capability and the sparsity, but also the diversity and robustness. To solve the optimization problem, we adopt the alternating directional method of multiplier technology to design an iterative algorithm. Finally, the effectiveness of the approach is demonstrated by experiments of various examples including traffic sign sequences.
Skeleton-based human action recognition has been a hot topic in recent years. Most existing studies are based on the skeleton data obtained from Kinect, which is noisy and unstable, in particular, in ...the case of occlusions. To cope with the noisy skeleton data and variation of viewpoints, this paper presents a view-invariant method for human action recognition by recovering the corrupted skeletons based on a 3D bio-constrained skeleton model and visualizing those body-level motion features obtained during the recovery process with images. The bio-constrained skeleton model is defined with two types of constraints: 1) constant bone lengths and 2) motion limits of joints. Based on the bio-constrained model, an effective method is proposed for skeleton recovery. Two types of new motion features, the Euclidean distance matrix between joints (JEDM), which contains the global structure information of the body, and the local dynamic variation of the joint Euler angles (JEAs) are used in describing human action. These two types of features are encoded into different motion images, which are fed into a two-stream convolutional neural network for learning different action patterns. The experiments on three benchmark datasets achieve better accuracy than the state-of-the-art approaches, which demonstrates the effectiveness of the proposed method.
Learning a good pose representation is significant for many applications, such as human pose estimation and action recognition. However, the representations learned by most approaches are not ...intrinsic and their transferability in different datasets and different tasks is limited. In this paper, we introduce a method to learn a versatile representation, which is capable of recovering unseen corrupted skeletons, being applied to the human action recognition, and transferring pose from one view to another view without knowing the relationships of cameras. To this end, a sequential bidirectional recursive network (SeBiReNet) is proposed for modeling kinematic dependency between skeleton joints. Utilizing the SeBiReNet as the core module, a denoising autoencoder is designed to learn intrinsic pose features through the task of recovering corrupted skeletons. Instead of only extracting the view-invariant feature as many other methods, we disentangle the view-invariant feature from the view-variant feature in the latent space and use them together as a representation of the human pose. For a better feature disentanglement, an adversarial augmentation strategy is proposed and applied to the denoising autoencoder. Disentanglement of view-variant and view-invariant features enables us to realize view transfer on 3D poses. Extensive experiments on different datasets and different tasks verify the effectiveness and versatility of the learned representation.
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CEKLJ, DOBA, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, SIK, UILJ, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Intrahepatic cholangiocarcinoma (ICC) is the second most common liver malignancy. ICC typically features remarkable cellular heterogeneity and a dense stromal reaction. Therefore, a comprehensive ...understanding of cellular diversity and the interplay between malignant cells and niche cells is essential to elucidate the mechanisms driving ICC progression and to develop therapeutic approaches.
Herein, we performed single-cell RNA sequencing (scRNA-seq) analysis on unselected viable cells from 8 human ICCs and adjacent samples to elucidate the comprehensive transcriptomic landscape and intercellular communication network. Additionally, we applied a negative selection strategy to enrich fibroblast populations in 2 other ICC samples to investigate fibroblast diversity. The results of the analyses were validated using multiplex immunofluorescence staining, bulk transcriptomic datasets, and functional in vitro and in vivo experiments.
We sequenced a total of 56,871 single cells derived from human ICC and adjacent tissues and identified diverse tumor, immune, and stromal cells. Malignant cells displayed a high degree of inter-tumor heterogeneity. Moreover, tumor-infiltrating CD4 regulatory T cells exhibited highly immunosuppressive characteristics. We identified 6 distinct fibroblast subsets, of which the majority were CD146-positive vascular cancer-associated fibroblasts (vCAFs), with highly expressed microvasculature signatures and high levels of interleukin (IL)-6. Functional assays indicated that IL-6 secreted by vCAFs induced significant epigenetic alterations in ICC cells, particularly upregulating enhancer of zeste homolog 2 (EZH2) and thereby enhancing malignancy. Furthermore, ICC cell-derived exosomal miR-9-5p elicited high expression of IL-6 in vCAFs to promote tumor progression.
Our single-cell transcriptomic dataset delineates the inter-tumor heterogeneity of human ICCs, underlining the importance of intercellular crosstalk between ICC cells and vCAFs, and revealing potential therapeutic targets.
Intrahepatic cholangiocarcinoma is an aggressive and chemoresistant malignancy. Better understanding the complex transcriptional architecture and intercellular crosstalk of these tumors will help in the development of more effective therapies. Herein, we have identified important interactions between cancer cells and cancer-associated fibroblasts in the tumor stroma, which could have therapeutic implications.
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•Single cell transcriptomic datasets are a valuable resource to dissect cellular diversity and intercellular crosstalk of human ICCs.•Malignant cells displayed remarkable inter-tumor heterogeneity and Tregs revealed highly immunosuppressive characteristics.•Six distinct fibroblast subsets were defined in ICCs and adjacent tissues.•CD146+ vCAFs, comprising most of the fibroblasts, had tight interactions with malignant cells through IL-6/IL-6R axis.•Tumor exosomal miR-9-5p elicited IL-6 expression in vCAFs, contributing to ICC progression via upregulation of EZH2.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
We address the problem of video representation learning without human-annotated labels. While previous efforts address the problem by designing novel self-supervised tasks using video data, the ...learned features are merely on a frame-by-frame basis, which are not applicable to many video analytic tasks where spatio-temporal features are prevailing. In this paper we propose a novel self-supervised approach to learn spatio-temporal features for video representation. Inspired by the success of two-stream approaches in video classification, we propose to learn visual features by regressing both motion and appearance statistics along spatial and temporal dimensions, given only the input video data. Specifically, we extract statistical concepts (fast-motion region and the corresponding dominant direction, spatio-temporal color diversity, dominant color, etc.) from simple patterns in both spatial and temporal domains. Unlike prior puzzles that are even hard for humans to solve, the proposed approach is consistent with human inherent visual habits and therefore easy to answer. We conduct extensive experiments with C3D to validate the effectiveness of our proposed approach. The experiments show that our approach can significantly improve the performance of C3D when applied to video classification tasks. Code is available at https://github.com/laura-wang/video_repres_mas.
Berberine, a natural compound extracted from several Chinese herbs including Coptis chinensis, has been shown to have anti-obesity effects and prevents insulin resistance in high-fat diet (HFD)-fed ...obese rats by modulating the gut microbiota; however, the molecular mechanisms underlying these activities remain unknown. We investigated the effects of berberine on obesity and insulin resistance by examining the lipopolysaccharide (LPS)/toll-like receptor 4 (TLR4)/tumor necrosis factor (TNF)-α signaling pathway in livers of HFD-fed obese rats. Our results showed that 8-week berberine (200 mg/kg) treatment significantly reduced fasting blood glucose, triglyceride, low-density lipoprotein-cholesterol and insulin resistance in HFD-fed obese rats. However, berberine had no significant effects on body weight, visceral fat mass or the visceral fat to body weight ratio. Berberine also attenuated HFD-induced hepatic steatosis. A prolonged HFD altered the gut microbiota composition by reducing protective bacteria like Bifidobacterium and increasing gram negative bacteria like Escherichia coli, which resulted in increased LPS release into plasma. Berberine reversed these effects and inhibited LPS-induced TLR4/TNF-α activation, resulting in increased insulin receptor and insulin receptor substrate-1 expression in the liver. These findings suggested that berberine may reduce insulin resistance, at least in part by modulating the gut microbiota along with inhibiting LPS/TLR4/TNF-α signaling in the liver.
Blood–brain barrier (BBB) leakage plays a key role in cerebral ischemia–reperfusion injury. It is quite necessary to further explore the characteristic and mechanism of BBB leakage during stroke. We ...induced a focal cerebral ischemia model by transient middle cerebral artery occlusion in male rats for defining the time course of BBB permeability within 120 h following reperfusion and evaluate the specific role of tight junction (TJ) associated proteins claudin-5, occludin, and ZO-1 as well as protein kinase C delta (PKCδ) pathway in BBB leakage induced by reperfusion injury. We verified a bimodal increase in the permeability of the BBB following focal ischemia by Evans blue assay. Two peaks of BBB permeability appeared at 3 h and 72 h of reperfusion after 2 h focal ischemia, respectively. The leak at the endothelial cell was represented at the level of transmission electron microscopy. TTC staining results showed increased infarct size with time after cerebral ischemia reperfusion. The mRNA and protein expression levels of these three TJ associated proteins were significantly decreased compared with the sham-operated group within 120 h of reperfusion, corresponding to the time-dependent change of the biphasic pattern in BBB leakage. The redistribution of claudin-5, occludin, and ZO-1 in ischemia brain microvascular endothelial cells was observed at the same time points. In addition, Western blot assay revealed PKCδ level was also significantly increased in a similar biphasic pattern to above results within 120 h after cerebral ischemia–reperfusion. This study demonstrates the timing of TJ associated proteins claudin-5, occludin, and ZO-1 in light of BBB permeability associated with cerebral ischemia reperfusion, and suggests PKCδ pathway may participate in TJ barrier open and BBB leakage during reperfusion injury in a time-dependent manner.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Circular RNAs are a subgroup of non-coding RNAs and generated by a mammalian genome. Herein, the expression and function of circular RNA circ-TTBK2 were investigated in human glioma cells.
...Fluorescence in situ hybridization and quantitative real-time PCR were conducted to profile the cell distribution and expression of circ-TTBK2 and microRNA-217 (miR-217) in glioma tissues and cells. Immunohistochemical and western blot were used to determine the expression of HNF1β and Derlin-1 in glioma tissues and cells. Stable knockdown of circ-TTBK2 or overexpression of miR-217 glioma cell lines (U87 and U251) were established to explore the function of circ-TTBK2 and miR-217 in glioma cells. Further, luciferase reports and RNA immunoprecipitation were used to investigate the correlation between circ-TTBK2 and miR-217. Cell Counting Kit-8, transwell assays, and flow cytometry were used to investigate circ-TTBK2 and miR-217 function including cell proliferation, migration and invasion, and apoptosis, respectively. ChIP assays were used to ascertain the correlations between HNF1β and Derlin-1.
We found that circ-TTBK2 was upregulated in glioma tissues and cell lines, while linear TTBK2 was not dysregulated in glioma tissues and cells. Enhanced expression of circ-TTBK2 promoted cell proliferation, migration, and invasion, while inhibited apoptosis. MiR-217 was downregulated in glioma tissues and cell lines. We also found that circ-TTBK2, but not linear TTBK2, acted as miR-217 sponge in a sequence-specific manner. In addition, upregulated circ-TTBK2 decreased miR-217 expression and there was a reciprocal negative feedback between them in an Argonaute2-dependent manner. Moreover, reintroduction of miR-217 significantly reversed circ-TTBK2-mediated promotion of glioma progression. HNF1β was a direct target of miR-217, and played oncogenic role in glioma cells. Remarkably, circ-TTBK2 knockdown combined with miR-217 overexpression led to tumor regression in vivo.
These results demonstrated a novel role circ-TTBK2 in the glioma progression.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Glioma is one of the most frequent intracranial malignant tumors. LncRNAs have been identified as new modulators in the origination and progression of glioma.
Quantitative real-time PCR were ...conducted to evaluate the expression of linc00152 and miRNA-103a-3p in glioma tissues and cells. Western blot were used to determine the expression of FEZF1 and CDC25A in glioma tissues and cells. Stable knockdown of linc00152 or over-expression of miR-103a-3p in glioma stem cells (GSCs) were established to explore the function of linc00152 and miR-103a-3p in GSCs. Further, luciferase reports were used to investigate the correlation between linc00152 and miR-103a-3p. Cell Counting Kit-8, transwell assays, and flow cytometry were used to investigate the function of linc00152 and miR-103a-3p in GSC malignant biological behaviors. ChIP assays were employed to ascertain the correlations between FEZF1 and CDC25A.
Linc00152 was up-regulated in glioma tissues as well as in GSCs. Knockdown of linc00152 inhibited cell proliferation, migration and invasion, while promoted GSC apoptosis. Linc00152 regulated the malignant behavior of GSCs by binding to miR-103a-3p, which functions as a tumor suppressor. In addition, knockdown of linc00152 down-regulated forebrain embryonic zinc finger protein 1 (FEZF1), a direct target of miR-103a-3p which played an oncogenic role in GSCs. FEZF1 elevated promoter activities and up-regulated expression of the oncogenic gene cell division cycle 25A (CDC25A). CDC25A over-expression activated the PI3K/AKT pathways, which regulated the malignant behavior of GSCs.
Linc00152/miR-103a-3p/FEZF1/CDC25A axis plays a novel role in regulating the malignant behavior of GSCs, which may be a new potential therapeutic strategy for glioma therapy.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
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