Emodin derivative E35 and its combination with autophagy inhibitor against acute myeloid leukemia cells in vitro and in vivo.

Acute myeloid leukemia (AML) is an aggressive hematopoietic malignancy with poor prognosis and high recurrence rate. The discovery of more effective therapeutic strategies for AML plays a crucial role. The present work showed that E35, a novel derivative of emodin, significantly inhibited cell proliferation and induced autophagy and apoptosis in AML cells. Treatment with E35 markedly induced Beclin-1, LC3-II, cleaved Caspase-9 and PARP, and suppressed mitogen-activated protein kinase (MAPK) pathway. E35 exposure evoked autophagic activity prior to apoptosis induction, and autophagy inhibition by 3-methyladenine (3-MA) dramatically increased E35-induced apoptosis in both AML cell lines and patient-derived AML cells. Nevertheless, study on AML xenograft model showed that the combination E35 with 3-MA exhibited much more inhibitory effects on leukemia cell growth in vivo. No obvious adverse reactions occurred in the xenograft animals administered E35 alone or its cotreatment with 3-MA. These findings suggest that E35 could exert anti-leukemia effects, and that the combination of E35 and autophagy inhibitor might prove a more highly efficient strategy for AML treatment.

[Effect of Baicalin Derivative 02-036 on Burkitt Lymphoma Cell Line CA46 and Its Related Mechanisms].

OBJECTIVE: To investigate the effect of baicalin derivative 02-036 on proliferation and apoptosis human Burkitt lymphoma cell line CA46 and its related mechanisms. METHODS: The MTT assay and cell colony formation assay were used to measure the growth inhibition of CA46 cells after 02-036 treatment. The flow cytometry with AnnexinV-FITC/PI double staining was employed to detect the apoptosis induction effect of 02-036 on CA46 cells. Cell cycle distribution of CA46 cells was estimeted by using DNA ploid analysis. Western blot was used to determine the changes of apoptosis-related proteins, including C-MYC, BCL-2, Procaspase-9, Procaspase-3, PARP and Cleaved-PARP. RESULTS: Baicalin derivative 02-036 obviously inhibited the proliferation of CA46 cells, with dose- and time-dependent manner (r=0.963, r=0.992). The averaged IC50 value of CA46 cells was (6.04±0.11) µmol/L after 48-hour treatment. Low concentration of 02-036 could significantly inhibit the colony formation of CA46 cells. Flow cytometry analysis confirmed that 02-036 could effectively induce CA46 cell apoptosis. The apoptosis rate correlated with drug concentrations (r=0.959). Also, DNA ploid analysis showed that the cell cycle of CA46 was arrested in the S phase. The expression levels of BCL-2, Pro-caspase-9, Pro-caspase-3, PARP and C-MYC proteins decreased with a 02-036-dose dependent manner (r values were -0.990, -0.939, -0.971 and -0.967, respectively). In contrast, the expression level of cleaved-PARP increased with the same manner (r=0.920). CONCLUSION: Baicalin derivative 02-036 can effectively inhibit the proliferation and induce apoptosis of CA46 cells, and its related mechanisms may be correlated with the down-regulation of apoptosis-related molecule expression levels, such as BCL-2, Pro-caspase-9, Pro-caspase-3, PARP and C-MYC.

Clinical and Imaging Findings of Temporomandibular Joint Synovial Chondromatosis: An Analysis of 10 Cases and Literature Review.

PURPOSE: This study investigated clinical and imaging features of synovial chondromatosis (SC) of the temporomandibular joint (TMJ) for use in clinical applications. MATERIALS AND METHODS: We analyzed clinical data from 10 patients with SC of the TMJ in our hospital from 2011 to 2015. We also reviewed and analyzed relevant literature included in the National Center for Biotechnology Information database in the past decade using the search terms "synovial chondromatosis" and "temporomandibular joint." RESULTS: The incidence of SC of the TMJ was higher in female patients than in male patients (male-to-female ratio, 1:2.22). It occurred most often in middle age (mean, 47.2 years). The characteristic symptoms of SC in the TMJ were pain (90.8%), swelling (67.1%), limited ability to open the mouth (68.4%), deviant jaw opening (34.2%), and crepitation (31.6%). Computed tomography (CT) (42.9%) and magnetic resonance imaging (45.4%) were the most common techniques used to assess SC in the TMJ, and cone-beam CT (10.9%) also was used to make preliminary diagnoses based on its imaging findings. Open surgery was the preferred treatment of SC of the TMJ, and the recurrence rate was low. CONCLUSIONS: The main clinical characteristics of SC of the TMJ are pain, swelling, limited mouth opening, joint sounds, and deviant jaw opening. Imaging features include abnormal high-density shadows, condyle hyperostosis or destruction, changes in the temporal bone, and widening of the joint space. Cone-beam CT is useful for diagnosis of SC of the TMJ.

Parsing Based on Parselets: A Unified Deformable Mixture Model for Human Parsing.

Human parsing, namely partitioning the human body into semantic regions, has drawn much attention recently for its wide applications in human-centric analysis. Previous works often consider solving the problem of human pose estimation as the prerequisite of human parsing. We argue that these approaches cannot obtain optimal pixel-level parsing due to the inconsistent targets between the different tasks. In this work, we directly address the problem of human parsing by using the novel Parselet representation as the building blocks of our parsing model. Parselets are a group of parsable segments which can generally be obtained by low-level over-segmentation algorithms and bear strong semantic meaning. We then build a deformable mixture parsing model (DMPM) for human parsing to simultaneously handle the deformation and multi-modalities of Parselets. The proposed model has two unique characteristics: (1) the possible numerous modalities of Parselet ensembles are exhibited as the "And-Or" structure of sub-trees; (2) to further solve the practical problem of Parselet occlusion or absence, we directly model the visibility property at some leaf nodes. The DMPM thus directly solves the problem of human parsing by searching for the best graph configuration from a pool of Parselet hypotheses without intermediate tasks. Fast rejection based on hierarchical filtering is employed to ensure the overall efficiency. Comprehensive evaluations on a new large-scale human parsing dataset, which is crawled from the Internet, with high resolution and thoroughly annotated semantic labels at pixel-level, and also a benchmark dataset demonstrate the encouraging performance of the proposed approach.

Contextualizing Object Detection and Classification.

We investigate how to iteratively and mutually boost object classification and detection performance by taking the outputs from one task as the context of the other one. While context models have been quite popular, previous works mainly concentrate on co-occurrence relationship within classes and few of them focus on contextualization from a top-down perspective, i.e. high-level task context. In this paper, our system adopts a new method for adaptive context modeling and iterative boosting. First, the contextualized support vector machine (Context-SVM) is proposed, where the context takes the role of dynamically adjusting the classification score based on the sample ambiguity, and thus the context-adaptive classifier is achieved. Then, an iterative training procedure is presented. In each step, Context-SVM, associated with the output context from one task (object classification or detection), is instantiated to boost the performance for the other task, whose augmented outputs are then further used to improve the former task by Context-SVM. The proposed solution is evaluated on the object classification and detection tasks of PASCAL Visual Object Classes Challenge (VOC) 2007, 2010 and SUN09 data sets, and achieves the state-of-the-art performance.

[Vermicomposting of different organic materials and three-dimensional excitation emission matrix fluorescence spectroscopic characterization of their dissolved organic matter].

In this experiment, different proportions of the cattle manure, tea-leaf, herb and mushroom residues, were used as food for earthworm (Eisenia fetida) to study the growth of the earth-worm. Then the characteristics and transformation of nutrient content and three-dimensional excitation emission matrix fluorescence (3DEEM) of dissolved organic matter (DOM) during vermistabilization were investigated by means of chemical and spectroscopic methods. The result showed that the mixture of different ratios of cattle manure with herb residue, and cattle manure with tea-leaf were conducive to the growth of earthworm, while the materials compounded with mushroom residue inhibited the growth of earthworm. With the increasing time of verimcomposting, the pH in vermicompost tended to be circumneutral and weakly acidic, and there were increases in electrical conductivity, and the contents of total nitrogen, total phosphorus, available nitrogen, and available phosphorus, while the total potassium and available potassium increased first and then decreased, and the organic matter content decreased. 3DEEM and fluorescence regional integration results indicated that, the fluorescence of protein-like fluorescence peaks declined significantly, while the intensity of humic-like fluorescence peak increased significantly in DOM. Vermicomposting process might change the compositions of DOM with elevated concentrations of humic acid and fulvic acid in the organics. In all, this study suggested the suitability of 3DEEM for monitoring the organics transformation and assessing the maturity in the vermicomposting.