Bioinformatic and integrated analysis identifies an lncRNA–miRNA–mRNA interaction mechanism in gastric adenocarcinoma

Yong Liao,Wen Cao,Kunpeng Zhang,Yang Zhou,Xin Xu,Xiaoling Zhao,Xu Yang,Jitao Wang,Shouwen Zhao,Shiyu Zhang,Longfei Yang,Dengxiang Liu,Yanpeng Tian,Weizhong Wu 한국유전학회 2021 Genes & Genomics Vol.43 No.6

Background lncRNAs–miRNAs–mRNAs networks play an important role in Gastric adenocarcinoma (GA). Identifcation of these networks provide new insight into the role of these RNAs in gastric cancer. Objectives Biological information databases were screened to characterize and examine the regulatory networks and to further investigate the potential prognostic relationship this regulation has in GA. Methods By mining The Cancer Genome Atlas (TCGA) database, we gathered information on GA-related lncRNAs, miRNAs, and mRNAs. We identifed diferentially expressed (DE) lncRNAs, miRNAs, and mRNAs using R software. The lncRNA–miRNA–mRNA interaction network was constructed and subsequent survival examination was performed. Representative genes were selected out using The Biological Networks Gene Ontology plug-in tool on Cytoscape. Additional analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) terms were used to screen representative genes for functional enrichment. Reverse transcription quantitative polymerase chain reaction (RT-qPCR) were used to identify the expression of fve candidate diferential expressed RNAs. Results Information of samples from 375 cases of gastric cancer and 32 healthy cases (normal tissues) were downloaded from the TCGA database. A total of 1632 DE-mRNAs, 1008 DE-lncRNAs and 104 DE-miRNAs were identifed and screened. Among them, 65 DE-lncRNAs, 10 DE-miRNAs, and 10 DE-mRNAs form lncRNAs–miRNAs–mRNAs regulatory network. Additionally, 10 lncRNAs and 2 mRNAs were associated with the prognosis of GA. Multivariable COX analysis revealed that AC018781.1 and VCAN-AS1 were independent risk factors for GA. GO functional enrichment analysis found DE-mRNA was signifcantly enriched TERM (P<0.05). The KEGG signal regulatory network analysis found 11 signifcantly enrichment networks, the most prevailing was for the AGE-RAGE signaling pathway associated with Diabetic complications. Results of RT-qPCR was consistent with the in silico results. Conclusions The results of the present study represent a view of GA from a analysis of lncRNA, miRNA and mRNA. The network of lncRNA–miRNA–mRNA interactions revealed here may potentially further experimental studies and may help biomarker development for GA.

Association between perioperative glucocorticoids and cancer metastasis and survival in patients undergoing radical cystectomy for urothelial carcinoma of the bladder: A single-center retrospective study

Shiyu Mao,Yuan Wu,Ruiliang Wang,Yadong Guo,Jing Yuan,Wentao Zhang,Junfeng Zhang,Yang Yan,Xudong Yao 대한비뇨의학회 2020 Investigative and Clinical Urology Vol.61 No.4

Purpose: Perioperative glucocorticoids have the potential to increase the risk of tumor metastasis. However, the relationship between perioperative glucocorticoids and oncologic outcomes remains controversial. The present study was undertaken to evaluate the association of perioperative glucocorticoids with clinicopathologic outcomes following radical cystectomy (RC). Materials and Methods: We screened and included 185 patients who underwent radical surgery for bladder cancer in our center between 2009 and 2018. The Kaplan–Meier method was applied, and a log-rank test was used to estimate differences in metastasis-free survival (MFS) and overall survival (OS) between the groups. Multivariate Cox proportional hazards regression models were used to analyze any association of glucocorticoids with clinical outcomes. Results: A total of 76 (41.1%) patients received perioperative glucocorticoids. Median postoperative follow-up was 2.0 years. Kaplan–Meier survival curve indicated that the glucocorticoids group was significantly associated with increased distant MFS (p=0.008) but not with OS. In the multivariate analysis, no significant differences were observed for MFS between the groups. Interestingly, when the variable of blood transfusion was excluded from the multivariate analysis model, we found that patients receiving glucocorticoids were independently associated with worse MFS (hazard ratio, 1.790; p=0.030). Furthermore, the partial correlation analysis showed a significant positive correlation between perioperative glucocorticoids and blood transfusion (r=0.604, p<0.001). In the nontransfusion subgroup, propensity score matching showed that patients receiving glucocorticoids had a higher risk of distant metastasis. Conclusions: Perioperative glucocorticoids were associated with a higher rate of distant metastasis in patients undergoing RC for bladder cancer.

Study of Material Removal Behavior during Laser-assisted Ultrasonic Dressing of Diamond Wheel

Zhibo Yang,Shiyu Zhang,Junchen Hu,Zhen Zhang,Kaiqiang Li,Bo Zhao 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.7 No.1

Laser-assisted ultrasonic dressing (LUD) of the removal behavior of diamond wheel material is investigated by simulation and experimental method. The finite element model of diamond wheel is constructed for simulation during LUD. The effect of parameters of LUD process on the dressing force is discussed according to the simulation results. LUD experiments of diamond wheels are carried out after obtaining optimization of parameter. The dressing force obtained from simulation and experiments are compared. It is found that the variation tendency of simulated dressing force is in agreement with the experimental result. This indicates that the simulation results can be effectively used for the selection of process’ parameters.

Study on Preparation of Core-Spun Yarn Surgical Sutures by Compositing Drug-Loaded Nanofiber Membrane with PLA and Its Controllable Drug Release Performance

Zhichao Yang,Shuqiang Liu,Jingjing Li,Gaihong Wu,Man Zhang,Fu Li,Lu Jia,Yujing Zhang,Huimin Li,Xia Liu,Jingjing Zhao,Huiqin Zhang,Shiyu Li 한국섬유공학회 2023 Fibers and polymers Vol.24 No.12

Polylactic acid (PLA) surgical suture is considered to be one of the most ideal materials for tissue closure due to its rich raw materials and excellent biological properties. However, surgical sutures face great challenges due to problems such as wound infection and tissue reaction in practical applications. In order to improve the clinical applicability of surgical sutures, we constructed a new drug-loading system for core-spun surgical sutures. The shell was composed of nanofibrous membranes composed of polyglycolic acid (PGA) and polycaprolactone (PCL) and ciprofloxacin (CIP) antibacterial drugs, and the core layer adopts PLA filament. By adjusting the composition ratio of PGA and PCL in the shell, a new mode of regulating the release rate and release cycle of the suture was constructed. According to different wound healing time, different drug release cycles of surgical suture were selected. In the study, the structure of the core-spun yarn can be clearly observed by scanning electron microscope, the higher the shell PGA content and drug loading, the faster the drug release rate. When the carrier ratio PGA/PCL was 80/20 and the drug loading was 3%, the drug release rate was the fastest and the drug release was high; finally, antibacterial experiments showed that the suture had excellent antibacterial effect and could effectively kill Staphylococcus aureus and Escherichia coli. The successful preparation of core-spun yarn surgical suture provides a new idea for the study of new antibacterial surgical suture.

Analysis of the Bacterial Community in a Full-scale Printing and Dyeing Wastewater Treatment System Based on T-RFLP and 454 Pyrosequencing

Qingxiang Yang,Jia Wang,Xinkuan Han,Yuanyuan Xu,Dong Liu,Hongxin Hao,Xuemei L,Yuhui Guo,Tianqi Niu,Shiyue Qi 한국생물공학회 2014 Biotechnology and Bioprocess Engineering Vol.19 No.1

In this study, the bacterial dynamics andstructure compositions in the two-stage biological processof a full-scale printing and dyeing wastewater (PDW)treatment system were traced and analyzed by terminalrestriction fragment length polymorphism (T-RFLP) and454 pyrosequencing techniques. T-RFLP analysis showedthat the microbial communities experienced significantvariation in the process of seed sludge adaptation to thePDW environments and were in constant evolution duringthe whole running period of the system, despite theconstant COD and color removal effects. Pyrosequencingresults indicated that the two-stage biological systemharbored rather diverse bacteria, with Proteobacteria beingthe predominant phylum during the steady running period,although its microbial compositions differed. The firststageaerobic tank was dominated by α-Proteobacteria(89.05% of Proteobacteria), whereas in the second-stageaerobic tank, β- and γ-Proteobacteria, besides α-Proteobacteria,were the dominant bacterial populations.

Uniaxial Tensile Performance of PP-ECC: Effect of Curing Temperatures and Fly Ash Contents

Hesong Jin,Shiyu Yang,Haiyan Xu,Ziyi Xu,Fuhai Li,Yang Tian,Shuang Zhou 대한토목학회 2020 KSCE Journal of Civil Engineering Vol.24 No.11

To investigate the influence of curing conditions and raw materials on the performance of engineered cement-based composites (ECCs), polypropylene fiber engineered cement-based composites (PP-ECCs) were designed and manufactured. The mathematical relationships between the fly ash content, curing temperature and PP-ECC tensile properties were explored by a uniaxial tensile test and by scanning electron microscopy. The results show the following: 1) with the increase in fly ash content and curing temperature, the ultimate tensile strain, ultimate tensile stress and tensile toughness index of the PP-ECC show a trend of first increasing and then decreasing, while the modulus of elasticity increases. 2) The optimum temperature is 20°C for the hydration reaction of the cementitious material inside the PP-ECC matrix. 3) When the fly ash content is 40% and the curing temperature is 20°C, the tensile mechanical parameters, ductility and toughness index of the PP-ECC are the best. This set of variables is recommended as a reference for PP-ECC engineering applications. 4) A mathematical relationship among the tensile strength, tensile strain and elastic modulus of the PP-ECC and coupling variables (fly ash content and curing temperature) is established.

Accurate delivery of pristimerin and paclitaxel by folic acid-linked nano-micelles for enhancing chemosensitivity in cancer therapy

Chen Chao,Du Shiyu,Zhong Wu,Liu Kunguo,Qu Lihua,Chu Feiyi,Yang Jingjing,Han Xin 나노기술연구협의회 2022 Nano Convergence Vol.9 No.52

Chemoresistance remains a huge challenge for effective treatment of non-small cell lung cancer (NSCLC). Previous studies have shown Chinese herbal extracts possess great potential in ameliorating tumor chemoresistance, however, the efficacy is clinically limited mainly because of the poor tumor-targeting and in vivo stability. The construction of nano-delivery systems for herbal extracts has been shown to improve drug targeting, enhance therapeutic efficacy and reduce toxic and side effects. In this study, a folic acid (FA)-modified nano-herb micelle was developed for codelivery of pristimerin (PRI) and paclitaxel (PTX) to enhance chemosensitivity of NSCLC, in which PRI could synergistically enhance PTX-induced growth inhibition of A549 cancer cell. PTX was firstly grafted with the FA-linked polyethylene glycol (PEG) and then encapsulated with PRI to construct the PRI@FA-PEG-PTX (P@FPP) nano-micelles (NMs), which exhibited improved tumor-targeting and in vivo stability. This active-targeting P@FPP NMs displayed excellent tumor-targeting characteristics without obvious toxicity. Moreover, inhibition of tumor growth and metastasis induced by P@FPP NMs were significantly enhanced compared with the combined effects of the two drugs (PRI in combination of PTX), which associated with epithelial mesenchymal transition inhibition to some extent. Overall, this active-targeting NMs provides a versatile nano-herb strategy for improving tumor-targeting of Chinese herbal extracts, which may help in the promotion of enhancing chemosensitivity of NSCLC in clinical applications.

Achieving High Yield of Lactic Acid for Antimicrobial Characterization in Cephalosporin-Resistant Lactobacillus by the Co-Expression of the Phosphofructokinase and Glucokinase

( Yahui Gong ),( Tiyuan Li ),( Shiyu Li ),( Zhenyou Jiang ),( Yan Yang ),( Junli Huang ),( Zhaobing Liu ),( Hanxiao Sun ) 한국미생물 · 생명공학회 2016 Journal of microbiology and biotechnology Vol.26 No.6

Lactobacilli are universally recognized as probiotics that are widely used in the adjuvant treatment of inflammatory diseases, such as vaginitis and enteritis. With the overuse of antibiotics in recent years, the lactobacilli in the human body are killed, which could disrupt the microecological balance in the human body and affect health adversely. In this work, cephalosporin-resistant Lactobacillus casei RL20 was obtained successfully from the feces of healthy volunteers, which possessed a stable genetic set. However, the shortage of lactic acid (72.0 g/l at 48 h) by fermentation did not meet the requirement for its use in medicine. To increase the production of lactic acid, the functional genes pfk and glk were introduced into the wild strain. A yield of 144.2 g/l lactic acid was obtained in the transgenic L. casei RL20-2 after fermentation for 48 h in 1 L of basic fermentation medium with an initial glucose concentration of 100 g/l and increasing antibacterial activity. These data suggested that L. casei RL20-2 that exhibited a high yield of lactic acid may be a potential probiotic to inhibit the spread of bacterial infectious diseases and may be used for vaginitis therapy.

A Dynamic Warning Method for Electric Vehicle Charging Safety Based on CNN-BiGRU Hybrid Model

Dexin Gao,Yurong Du,Shiyu Zhang,Qing Yang 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.3

Electric vehicles (EVs) are prone to spontaneous combustion during charging, which can lead to safetyaccidents. Therefore, it is critical to accurately obtain the charging crises of EVs for timely fault identification andearly warning. This paper proposes a hybrid convolutional neural networks (CNN) and bi-directional gated recurrentunit (BiGRU) dynamic early warning method for EV charging safety. The method combines CNN and BiGRUfeatures to rapidly extract deep characteristics of EV charging data, establish charging safety prediction models,and train it with historical normal charging data. After training, real-time EV charging data is input for predictionto identify whether EV charging processes are irregular. Sliding windows are used with the residual analysis of thehistorical data forecast outcomes to generate the safety dynamic warning threshoThe energy rules. The experimentalresults demonstrated that the CNN-BiGRU model has a superior prediction effect and accuracy. With eRMSE andeMAPE as the evaluation criteria, the charging current is 0.2393 A and 0.1888%, the charging voltage is 0.3859 Vand 0.084%, and the temperature is 0.0543◦C and 0.1658%; The charging current, voltage and temperature data canbe used for early fault warning, which can be advance by 20.7 s, 20.2 s and 17.7 5 s, respectively.