Identification of Immune-Related Gene Signature and Prediction of CeRNA Network in Active Ulcerative Colitis.

Background: Ulcerative colitis (UC) is an inflammatory disease of the intestinal mucosa, and its incidence is steadily increasing worldwide. Intestinal immune dysfunction has been identified as a central event in UC pathogenesis. However, the underlying mechanisms that regulate dysfunctional immune cells and inflammatory phenotype remain to be fully elucidated. Methods: Transcriptome profiling of intestinal mucosa biopsies were downloaded from the GEO database. Robust Rank Aggregation (RRA) analysis was performed to identify statistically changed genes and differentially expressed genes (DEGs). Gene Set Enrichment Analysis (GSEA), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to explore potential biological mechanisms. CIBERSORT was used to evaluate the proportion of 22 immune cells in biopsies. Weighted co-expression network analysis (WGCNA) was used to determine key module-related clinical traits. Protein-Protein Interaction (PPI) network and Cytoscape were performed to explore protein interaction network and screen hub genes. We used a validation cohort and colitis mouse model to validate hub genes. Several online websites were used to predict competing endogenous RNA (ceRNA) network. Results: RRA integrated analysis revealed 1838 statistically changed genes from four training cohorts (adj. p-value < 0.05). GSEA showed that statistically changed genes were enriched in the innate immune system. CIBERSORT analysis uncovered an increase in activated dendritic cells (DCs) and M1 macrophages. The red module of WGCNA was considered the most critical module related to active UC. Based on the results of the PPI network and Cytoscape analyses, we identified six critical genes and transcription factor NF-κB. RT-PCR revealed that andrographolide (AGP) significantly inhibited the expression of hub genes. Finally, we identified XIST and three miRNAs (miR-9-5p, miR-129-5p, and miR-340-5p) as therapeutic targets. Conclusions: Our integrated analysis identified four hub genes (CXCL1, IL1B, MMP1, and MMP10) regulated by NF-κB. We further revealed that AGP decreased the expression of hub genes by inhibiting NF-κB activation. Lastly, we predicted the involvement of ceRNA network in the regulation of NF-κB expression. Collectively, our results provide valuable information in understanding the molecular mechanisms of active UC. Furthermore, we predict the use of AGP and small RNA combination for the treatment of UC.

Organic pollutant degradation by UV/peroxydisulfate process: Impacts of UV light source and phosphate buffer.

In recent years, ultraviolet (UV) based advanced oxidation processes have been extensively studied for degradation of refractory organic pollutants in water and wastewater, and selection of an appropriate UV light source is an important issue. In this study, bench-scale tests were conducted on a mini-fluidic photoreaction system (MFPS) to determine the degradation kinetics of methylene blue (MB) by UV/peroxydisulfate (UV/PDS) process equipped with a low-pressure UV (LPUV), vacuum UV (VUV)/LPUV, or medium-pressure UV (MPUV) mercury vapor lamp. Results indicate that MB degradation by UV/PDS with various light sources all followed the pseudo-first order kinetics, and the photon fluence-based rate constant (kp,λ') had a descending order of: VUV/LPUV/PDS â‰« MPUV/PDS > LPUV/PDS. Moreover, it is noted that phosphate buffer (PB) notably inhibited MB degradation: the kp,LPUV', kp,VUV/LPUV' and kp,MPUV' decreased by 35.0%, 44.9% and 37.5% with the PB concentration increasing from 0 to 20 mM, respectively. The maximal decrease in kp,VUV/LPUV' was ascribed to a strong competition of PB for VUV photons. Thereafter, pilot-scale tests were conducted to evaluate the practical performance of UV/PDS in terms of the electrical energy consumption per order (EEO). It was found again that the VUV/LPUV lamp was the optimal light source in UV/PDS for organic pollutant degradation. This study helps optimize the UV/PDS process for its practical application to water and wastewater treatment.

Methylene blue degradation by the VUV/UV/persulfate process: Effect of pH on the roles of photolysis and oxidation.

This study investigated methylene blue (MB) degradation by the vacuum-ultraviolet/ultraviolet/persulfate (VUV/UV/PS) process using a mini-fluidic VUV/UV photoreaction system. Results show that MB degradation by the VUV/UV/PS process was significantly higher than that of the conventional UV/PS process, as the VUV photolysis of H2O and PS generated more reactive oxygen species (ROSs). HO• and SO4•-, identified as the main ROSs, were mostly consumed by dissolved organic carbon and Cl‒ in real waters, respectively. Additionally, the impacts of solution pH and the concentrations of PS, humic acid, and inorganic ions (HCO3‒, Cl‒, NO3‒, SO42‒, Fe(II), and Fe(III)) were systematically evaluated. The solution pH significantly affected the photon absorption distributions, as well as the contributions of photolysis and oxidation to MB degradation, resulting in different variations in the degradation rate constant and total organic carbon removal ratio with increasing solution pH. At all tested pH levels (3.0-11.0), particularly under acidic conditions, HO and SO4- were two predominant contributors to MB degradation, while VUV and UV photolysis contributed more when the solution pH increased. This study provides a highly efficient process for organic pollutant removal, which could be applied in water treatment.

[Selectivity rank regionalization of Paeonia lactiflora based on fuzzy method].

For optimal adaptive cultivation region selection, we used ecology factors characterized Duolun region as model area to carry out the adaptive habitat division of Paeonia lactiflora. Similar priority comparison of ecology factors.in 91 cities were calculated by Fuzzy methods, then, distance of the ecology factors were transferred to spacial model by geography information system (,GIS) and modified by soil utilization map of China. The results showed that P. lactiflora were mainly distributed in the Daxing'an Mountain, Changbaishan and qinling range which were divided into six grades of suitable regions belonging to three geographical distributed units. The most similar areas to Duolun were Huade, Xilinhaote, Suolun and Zhangbei. P. lactiflora's distribution and quality are relevant with longitude and latitude, and temperature and rainfall.

[Study on climate regionalization of Artemisia annuua in Guangxi].

OBJECTIVE: To analyze the major effective factors under the climatic conditions of Guangxi which influence artemisinin content, in order to determine the best planting region. METHOD: The correlation, the gradually regression analysis with the statistical analysis system, the geography space analysis and the regionalization with GIS were used for the study. RESULT AND CONCLUSION: The temperature and the sunshine-hour were the major effective factors to artemisinin content, followed by the rainfall amount, the humidity showed less influence, and wind speed had no effect; And the climatic factors of seedling stage and the flowering season were the most influences to the artemisinin content. The artemisinin content was higher during the flowering season, in the region of temperature relatively lower and the rainfall amount smaller. The knoll and the mountainous region in northeast and southwest of Guangxi is the best suitable region for the Artemisia annua planting. The plain area in the southeast and middle of Guangxi is the not suitable region; Other areas are suitable regions for the A. annua planting.

[Statistical analysis of residues of heavy metals in Chinese crude drugs].

OBJECTIVE: To analyze the residues of heavy metals in Chinese crude drugs. METHOD: The SPSS 13.0 software was used to analyze the data of Cu, Pb, As, Cd, Hg collected in literatures. And, Green Trade Standards of Importing & Exporting Medicinal Plants & Preparations was used as the standard to evaluate the pollution condition of Cu, Pb, As, Cd, Hg in Chinese crude drugs. RESULT: Chinese crude drugs were contaminated by heavy metals in different levels. The content of Cu, Pb, As, Cd, Hg exceeded the limit of the standard and the percentage was 21.0%, 12.0%, 9.7%, 28.5%, 6.9%, respectively; the phenomena of two, three and four metals exceeding limited standard simultaneity in a drug were also found and the percentage was 4.6%, 1.5%, 0.7%, respectively; the content of heavy metals in Radix Platycodi, Radix Asari and Rhizoma Coptidis was higher among the thirty-six Chinese crude drugs; All of the content of five heavy metals in Barbary Fructus Lycii Rhizoma Anemones Raddeanae, Radix Panacis Quiquefolii and Fructus Aurantii were below the limit; The pollution levels of heavy metals in different locality were different; The content of Cu, Pb in cultivated Chinese crude drugs was higher than that in wild Chinese crude drugs, while the content of As in wild Chinese crude drugs was higher than that in cultivated Chinese crude drugs. CONCLUSION: The pollution levels of heavy metals in Chinese crude drugs were detailed reported in this paper. And it provided ways for the further study of heavy metals in Chinese crude drugs.