MicroRNA-187 inhibits pentylenetetrazol-induced neuronal apoptosis and alleviates development of epilepsy in epileptic rats by regulating SPRY1 expression

Purpose: To explore the role of microRNA-187 on the pathological process of epilepsy. Methods: The seizure score of epileptic rats was evaluated according to Racine’s scale. Real-time quantitative polymerase chain reaction (RT-qPCR) was performed to determine the expression levels of microRNA-187 (miR-187). Western blot technique was conducted to assess the expression levels of caspase 3, B-cell lymphoma-2 (BCL-2), and poly (ADP-ribose) polymerase (PARP)] and activation of phosphatase and tensin homolog (PTEN)/PI3K/AKT cascade. Caspase 3 colorimetric assay kit was employed to evaluate the activity of caspase 3. Dual-luciferase reporter gene system was used to explore the regulating mechanisms of miR-187 and protein sprouty homolog 1 gene (SPRY1). Results: The results showed that miR-187 was aberrantly downregulated in the hippocampus regions of pentylenetetrazol (PTZ)-treated rats compared to normal rats (p < 0.05). Furthermore, PTZ promoted caspase 3-dependent neuronal apoptosis by increasing the expression of pro-apoptosis protein PARP and decreasing the expression levels of BCL-2 in rats. On the other hand, overexpression of miR-187 downregulated SPRY1 as well as PTEN (p < 0.05), thereby activating the downstream PI3K/AKT signaling pathway. Notably, the effects of upregulated miR-187 on neuronal apoptosis and epilepsy development in PTZ-induced rats was reversed by the concomitant overexpression of SPRY1 (p < 0.05). Conclusion: The results of this research show that overexpressed miR-187 alleviates the development of PTZ-induced neuronal apoptosis and epilepsy in epileptic rat models by regulating SPRY1 expression. These findings can hopefully be beneficial for the discovery of new therapeutic strategies for epilepsy treatment

Low-carbon economic multi-objective dispatch of integrated energy system considering the price fluctuation of natural gas and carbon emission accounting

Abstract Natural gas is the main energy source and carbon emission source of integrated energy systems (IES). In existing studies, the price of natural gas is generally fixed, and the impact of price fluctuation which may be brought by future liberalization of the terminal side of the natural gas market on the IES is rarely considered. This paper constructs a natural gas price fluctuation model based on particle swarm optimization (PSO) and Dynamic Bayesian networks (DBN) algorithms. It uses the improved epsilon constraint method and fuzzy multi-weight technology to solve the Pareto frontier set considering the system operation cost and carbon emission. The system operation cost is described using Latin Hypercube Sampling (LHS) to predict the stochastic output of the renewable energy source, and a penalty function based on the Predicted Mean Vote (PMV) model to describe the thermal comfort of the user. This is analyzed using the Grey Wolf Optimization (GWO) algorithm. Carbon emissions are calculated using the carbon accounting method, and a ladder penalty mechanism is introduced to define the carbon trading price. Results of the comparison illustrate that the Pareto optimal solution tends to choose less carbon emission, electricity is more economical, and gas is less carbon-intensive in a small IES for end-users when the price of natural gas fluctuates. The impacts of various extents of natural gas price fluctuation for the same load are also discussed

Activated Carbon Promotes Sulfide to Promote Short-range Nitrification and Denitrification Sludge Granulation

This article analyzes the factors affecting the nitrification and denitrification sludge granulation, including carbon source abundance, environmental pH, electron acceptors, SRT conditions, reaction temperature, etc. In this paper, the content of impurities in sewage is clarified, and the entire treatment process, COD removal, sludge denitrification and sedimentation, and sludge formation process analysis are analyzed. The purpose is to improve the application value of activated carbon and improve the treatment effect of sewage

Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition

ISSN:1051-8215ISSN:1558-220

Preliminary characterizations of a serum biomarker for sarcoidosis by comparative proteomic approach with tandem-mass spectrometry in ethnic Han Chinese patients

<p>Abstract</p> <p>Background</p> <p>The diagnosis of sarcoidosis is still a significant challenge in China because of the need to exclude other diseases including granulomatous infections and malignancies that may be clinically and radiographically similar. The specific aim of the study is to search for serum protein biomarkers of sarcoidosis and to validate their clinical usefulness in differential diagnosis.</p> <p>Methods</p> <p>Serum samples were collected from patients with sarcoidosis (n = 37), and compared to those from patients with tuberculosis (n = 20), other pulmonary diseases (n = 20), and healthy volunteers (n = 20) for determination of sarcoidosis-specific or -associated protein expression profiles. The first part of this study focused on proteomic analysis of serum from patients with sarcoidosis to identify a pattern of peptides capable of differentiating the studied populations using the ClinProt profiling technology based on mass spectrometry. Enzyme Linked Immunosorbent Assay (ELISA) was then used to verify corresponding elevation of the serum protein concentration of the potential biomarkers in the same patients sets. Receiver operating characteristic curve (ROC) analyses was performed to determine the optimal cutoff value for diagnosis. Immunohistochemistry was carried out to further confirm the protein expression patterns of the biomarkers in lung tissue.</p> <p>Results</p> <p>An unique protein peak of M/Z 3,210 Daltons (Da) was found to be differentially expressed between the sarcoidosis and control groups and was identified as the N-terminal peptide of 29 amino acids (94-122) of serum amyloid A (SAA). ELISA confirmed that the serum SAA level was significantly higher in the sarcoidosis group than that of the other 3 control groups (<it>p</it> < 0.05). The cutoff for serum SAA concentration determined by ROC analysis was 101.98 ng/ml, with the sensitivity and specificity of 96.3% and 52.5%, respectively. Immunohistochemical staining showed that the SAA depositions in lung tissue of the sarcoidosis patients were also significantly more intense than in non-sarcoid lung tissue (<it>p</it> < 0.05).</p> <p>Conclusion</p> <p>This is the first study to investigate serum protein markers in Chinese subjects with sarcoidosis. This study shows that the serum SAA expression profiles were different between the sarcoidosis and non-sarcoidosis groups. SAA may be a potential serum biomarker for ruling-out the diagnosis of sarcoidosis in Chinese subjects.</p

Nutritional and physicochemical characteristics of purple sweet corn juice before and after boiling.

Sweet corn juice is becoming increasingly popular in China. In order to provide valuable health-related information to consumers, the nutritional and physicochemical characteristics of raw and boiled purple sweet corn juices were herein investigated. Sugars, antinutrients, total free phenols, anthocyanins, and antioxidant activity were analyzed by conventional chemical methods. The viscosity and stability of juices were determined by Ubbelohde viscosity meter and centrifugation, respectively. Boiling process could elevate viscosity, stability and sugar content, and reduce antinutrients, total free phenols, anthocyanins, and antioxidant activity in corn juice. In addition, short time boiling efficiently reduced the degradation of anthocyanins during subsequent refrigeration. The content of amino acids, vitamin B1/B2 and E were detected by High Performance Liquid Chromatography. Gas Chromatography Mass Spectrometry was used for the analysis of fatty acids and aroma compounds. Several aroma compounds not previously reported in corn were identified, including 1-heptanol, 2-methyl-2-butenal, (Z)-3-nonen-1-ol, 3-ethyl-2-methyl-1,3-hexadiene, and 2,4-bis(1,1-dimethylethyl)phenol. Interestingly, the boiling process had no apparent effect on the amino acids profile, but it caused a 45.8% loss of fatty acids in the juice by promoting the retention of fatty acids in the corn residue. These results provide detailed information that could be used for increasing consumers' knowledge of sweet corn juice, further development of sweet corn juice by food producers, and maize breeding programs

ANP32E induces tumorigenesis of triple‐negative breast cancer cells by upregulating E2F1

Triple‐negative breast cancer (TNBC) lacks expression of estrogen receptor (ER), progesterone receptor, and the HER2 receptor; it is highly proliferative and becomes the deadliest forms of breast cancer. Effective prognostic methods and therapeutic targets for TNBC are required to improve patient outcomes. Here, we report that acidic nuclear phosphoprotein 32 family member E (ANP32E), which promotes cell proliferation in mammalian development, is highly expressed in TNBC cells compared to other types of breast cancer. High expression of ANP32E correlates significantly with worse overall survival (OS; P < 0.001) and higher risks of disease recurrence (P < 0.001) in patients with TNBC. Univariate and multivariate Cox‐regression models show that ANP32E is an independent prognostic factor in TNBC. Furthermore, we discovered that ANP32E promotes tumor proliferation in vitro by inducing G1/S transition, and ANP32E inhibition suppresses tumor formation in vivo. By examining the expression of E2F1, cyclin E1, and cyclin E2, we discovered that ANP32E promotes the G1/S transition by transcriptionally inducing E2F1. Taken together, our study shows that ANP32E is an efficient prognostic marker, and it promotes the G1/S transition and induces tumorigenesis of TNBC cells by transcriptionally inducing E2F1