A Model Combining Testosterone, Androstenedione and Free Testosterone Index Improved the Diagnostic Efficiency of Polycystic Ovary Syndrome.

OBJECTIVE: Hyperandrogenism is frequently observed in patients with polycystic ovary (PCO). The purpose of this study was to develop an easy-to-use tool for predicting polycystic ovary syndrome (PCOS) and to evaluate and compare the value of androstenedione (Andro) and other hormone indicators in the diagnosis of patients with hyperandrogenic PCOS. METHODS: This study included 139 women diagnosed with hyperandrogenic PCOS according to the Rotterdam criteria and 74 healthy control women from Shanghai Tenth People's Hospital. The serum hormone levels of the patients and controls were measured using a chemiluminescence immunoassay and incorporated for further analysis. RESULTS: Total testosterone (TT), Andro, dehydroepiandrosterone sulfate (DHEAS), and free androgen index (FAI) were significantly higher in the PCOS group than the control group. Further, Andro, follicle-stimulating hormone (FSH), luteinizing hormone (LH), TT, FAI, and LH/FSH in the hyperandrostenedione group were higher than the normal Andro group. The Youden index was the highest for Andro (0.65), with 81.82% sensitivity and 83.16% specificity. Correlation analysis showed that FSH, LH, TT, FAI, insulin sensitivity index, and LH/FSH were positively correlated with Andro, while fasting blood glucose and 2-hour postprandial blood glucose were negatively correlated with Andro. CONCLUSIONS: The model using Andro, TT, and FAI may help to identifying women with undiagnosed PCOS. Serum Andro is a meaningful biomarker for hyperandrogenism in PCOS patients and may further aid disease diagnosis.

TGF-ß3 Induces Autophagic Activity by Increasing ROS Generation in a NOX4-Dependent Pathway.

Higher concentrations of reactive oxygen species (ROS) have been associated with epithelial cell damage, cell shedding, and airway hyperresponsiveness. Previous studies have indicated that transforming growth factor-beta (TGF-ß) mediates ROS production and NADPH oxidase (NOX) activity. In our previous study, we also observed that TGF-ß3 increases mucus secretion in airway epithelial cells in an autophagy-dependent fashion. Although it is well known that the relationship between ROS and autophagy is cell context-dependent, the exact mechanism of action remains unclear. The following study examined whether ROS act as upstream of autophagy activation in response to TGF-ß3 induction. Using an allergic inflammation mouse model induced by house dust mite (HDM), we observed elevated lung amounts of TGF-ß3 accompanied by increased ROS levels. And we found that ROS levels were elevated and NOX4 expression was increased in TGF-ß3-induced epithelial cells, while the lack of NOX4 in the epithelial cells could reduce ROS generation and autophagy-dependent MUC5AC expression treated with TGF-ß3. Furthermore, our studies demonstrated that the Smad2/3 pathway was involved in TGF-ß3-induced ROS generation by promoting NOX4 expression. The inhibition of ROS generation by N-Acetyl-L-cysteine (NAC) resulted in a decrease in mucus expression and autophagy activity in vivo as well as in vitro. Finally, TGF-ß3-neutralizing antibody significantly reduced the ROS generation, mucus expression, and autophagy activity and also decreased the phosphorylation of Smad2 and Smad3. Taken together, the obtained results revealed that persistent TGF-ß3 activation increased ROS levels in a NOX4-dependent pathway and subsequently induced autophagy as well as MUC5AC expression in the epithelial cells.

[Localized Scleroderma of Lower Extremities:Clinical and Magnetic Resonance Imaging Features].

OBJECTIVE: To evaluate the clinical and musculoskeletal characteristics of localized scleroderma with lower extremities affected. METHODS: All the localized scleroderma patients,who received magnetic resonance (MR ) examinations of affected lower extremities at Peking Union Medical College Hospital from April 2013 to June 2014,were retrospectively reviewed. Their clinical data and laboratory results of antinuclear antibody,anti-double stranded-DNA antibody, and anti-extractable nuclear antigen antibody were collected and analyzed. All the MR examinations were non-contrast imaging using Siemens Skyra 3.0T MR scanner. RESULTS: There were 16 localized scleroderma patients with lower extremities affected, 11 of whom were linear scleroderma, 4 generalized morphea, and 1 deep morphea. Female to male ratio was 1:2.2. The mean age was 22.5 years. The mean time span was 7.4 years. Four of the 14 patients (28.6%) who received antinuclear antibody test were positive. All the 10 patients who received anti-double stranded-DNA antibody test and the 7 patients who received anti-extractable nuclear antigen antibody test were negative. The most common musculoskeletal MR features were subcutaneous septal thickening (16/16) and fascial thickening (11/16). The thickened speta and fascia could either be hypointenstiy or hyperintensity on turbo inversion recovery magnitude/proton density weighted imaging. Other MR manifestations were intramuscular speta thickening (3/16), muscular abnormal signals (1/16), and bone marrow abnormal signals (2/16). CONCLUSION: Musculoskeletal manifestations of the lower extremities with localized scleroderma can be well revealed using MR imaging.

Study on the Expression and Potential Function of LncRNA in Peripheral Blood of Patients with Ankylosing Spondylitis.

BACKGROUND: Ankylosing spondylitis (AS) is an autoimmune disease that has the characteristics of difficult early diagnosis and a high disability rate. OBJECTIVE: The objective of this study was to further explore the possible mechanism and potential function of lncRNA in AS. METHODS: We used lncRNA microarray technology to detect the expression of lncRNA and mRNA in patients with active AS, stable patients, and healthy controls (HC). Afterward, bioinformatics analysis was conducted on differentially expressed genes. Seven differentially expressed lncRNAs were screened out for real-time fluorescent quantitative PCR (RT-qPCR), combined with various clinical indicators for correlation analysis, and the receiver operating characteristic (ROC) curve was used to analyze the potential of lncRNA as a diagnostic marker for AS. RESULTS: The results showed that the expression levels of NR-037662 and ENST00000599316 in the AS subgroups were significantly higher than those in the HC group, while the expression levels of ENST00000577914 and ENST00000579003 were lower than those in the HC group. The expression levels of NR-003542 and ENST00000512051 in the ASA group were significantly higher than those in the ASS and HC groups, while NR-026756 was just the opposite. Spearman's correlation analysis showed that the expression level of NR-003542 was positively correlated with Bath Ankylosing Spondylitis Functional Index (BASFI), Erythrocyte Sedimentation Rate (ESR), and high sensitivity C-Reactive Protein (hsCRP). The expression level of NR-026756 was negatively correlated with the Bath Ankylosing Spine Inflammatory Disease Activity Index (BASDAI), BASFI, ESR, hsCRP, and globulin (GLOB). In addition, it was also found that the ROC curve analysis of the 4 lncRNAs between the AS group (ASA group and ASS group) and the HC group were statistically significant, and the area under the curve (AUC) of NR-037662, ENST00000599316, ENST00000577914, and ENST00000579003 was 0.804, 0.812, 0.706, and 0.698, respectively. CONCLUSION: It was found that these differentially expressed lncRNAs of AS may be involved in the occurrence and development of the disease. Among them, NR-037662, ENST00000599316, ENST00000577914, and ENST00000579003 might have the potential to become AS diagnostic molecular markers. Moreover, NR -003542, ENST00000512051, and NR-026756 might have the potential to be indicators of disease activity.

[Clinical and pathologic characteristics of patients with scleredema].

OBJECTIVE: To investigate the clinical and pathologic characteristics of patients with scleredema. METHOD: The clinical and pathologic data of 67 outpatients with scleredema who were admitted to PUMC Hospital from 1982 to 2008 were retrospectively analyzed. RESULTS: Neck and upper back lesions were detected in all patients, but no hand or foot involvement was noted. Among 54 patients who received serum immunoglobulin examination, 19 (35.2%) showed abnormal serum immunoglobulin results. Among 67 patients, 22 (32.8%) had concomitant diabetes mellitus. Alcian blue staining was performed in 35 patients, among whom 23 (65.7%) had positive results and 12 (34.3%) had negative results. CONCLUSIONS: Scleredema may have systemic involvements in addition to skin lesions. Patients with scleredema also tends to have concomitant diabetes mellitus. Alcian blue staining is not sufficient to differentiate scleredema and scleroderma.

[Clinical characteristics of patients with juvenile localized scleroderma].

OBJECTIVE: To investigate the clinical characteristics of juvenile localized scleroderma (JLS). METHODS: The clinical data of 100 outpatients with JLS who were admitted to PUMC Hospital from 2000 to 2008 were retrospectively analyzed. RESULTS: Of a total of 100 cases, 51 (51%) were confirmed as linear scleroderma, 26 (26%) as plaque morphea, 26 (26%) as deep morphea, 12 (12%) as generalized morphea, and 15 (15%) as a mixed subtype. Nine patients (9%) had family histories of rheumatic or autoimmune diseases, while 16 (16%) might be triggered by unknown factors. Totally 84 patients underwent antinuclear antibody tests and 38 patients (45.2%) had positive results. CONCLUSIONS: Linear scleroderma are the most frequent subtype of JLS. Localized scleroderma may be associated with some autoimmune-related causes.

Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition.

In this paper, we propose a new low-rank and sparse representation model for moving object detection. The model preserves the natural space-time structure of video sequences by representing them as three-way tensors. Then, it operates the low-rank background and sparse foreground decomposition in the tensor framework. On the one hand, we use the tensor nuclear norm to exploit the spatio-temporal redundancy of background based on the circulant algebra. On the other, we use the new designed saliently fused-sparse regularizer (SFS) to adaptively constrain the foreground with spatio-temporal smoothness. To refine the existing foreground smooth regularizers, the SFS incorporates the local spatio-temporal geometric structure information into the tensor total variation by using the 3D locally adaptive regression kernel (3D-LARK). What is more, the SFS further uses the 3D-LARK to compute the space-time motion saliency of foreground, which is combined with the l1 norm and improves the robustness of foreground extraction. Finally, we solve the proposed model with globally optimal guarantee. Extensive experiments on challenging well-known data sets demonstrate that our method significantly outperforms the state-of-the-art approaches and works effectively on a wide range of complex scenarios.

Joint Hierarchical Category Structure Learning and Large-Scale Image Classification.

We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and performance of large-scale multi-class classification. We propose a novel image classification method based on learning hierarchical inter-class structures. Specifically, we first design a fast algorithm to compute the similarity metric between categories, based on which a visual tree is constructed by hierarchical spectral clustering. Using the learned visual tree, a test sample label is efficiently predicted by searching for the best path over the entire tree. The proposed method is extensively evaluated on the ILSVRC2010 and Caltech 256 benchmark datasets. The experimental results show that our method obtains significantly better category hierarchies than other state-of-the-art visual tree-based methods and, therefore, much more accurate classification.