A genomic and epigenomic atlas of prostate cancer in Asian populations.

Prostate cancer is the second most common cancer in men worldwide1. Over the past decade, large-scale integrative genomics efforts have enhanced our understanding of this disease by characterizing its genetic and epigenetic landscape in thousands of patients2,3. However, most tumours profiled in these studies were obtained from patients from Western populations. Here we produced and analysed whole-genome, whole-transcriptome and DNA methylation data for 208 pairs of tumour tissue samples and matched healthy control tissue from Chinese patients with primary prostate cancer. Systematic comparison with published data from 2,554 prostate tumours revealed that the genomic alteration signatures in Chinese patients were markedly distinct from those of Western cohorts: specifically, 41% of tumours contained mutations in FOXA1 and 18% each had deletions in ZNF292 and CHD1. Alterations of the genome and epigenome were correlated and were predictive of disease phenotype and progression. Coding and noncoding mutations, as well as epimutations, converged on pathways that are important for prostate cancer, providing insights into this devastating disease. These discoveries underscore the importance of including population context in constructing comprehensive genomic maps for disease.

Pan-cancer analysis: SPAG5 is an immunological and prognostic biomarker for multiple cancers.

Sperm-associated antigen 5 (SPAG5) is a mitotic spindle protein that regulates the separation of sister chromatids into daughter cells. Recent studies have discovered its overexpression in various cancers, suggesting its oncogenic characteristics and functions. However, a comprehensive analysis of SPAG5 regarding its diagnostic, prognostic, and immune-related effects across different cancer types is lacking. In this study, we employed bioinformatics methods and integrated multiple public databases to explore the potential oncogenic role of SPAG5. We analyzed its expression, prognosis, related chemicals, enriched pathways, immune infiltration, and its impact on different tumor genetic alterations. The results revealed that SPAG5 is highly expressed in most cancers and significantly correlates with poor patient prognosis. Additionally, SPAG5 expression showed potential for early cancer diagnosis in 15 different cancer types. In terms of tumor immunity, high expression of SPAG5 was associated with an immunosuppressive tumor microenvironment and immune therapy efficacy indicators. SPAG5 expression exhibited a negative correlation with most immune cell infiltrates but demonstrated a significant positive correlation with Th2 cells and MDSC cells. Multicolor fluorescence immunohistochemistry demonstrated that SPAG5 activates immune cell populations within tumors, indicating its significant role in the tumor microenvironment. Enrichment analysis indicated that SPAG5-related genes are mainly involved in cell cycle, cellular senescence, P53 signaling pathway, and FoxO signaling pathway. Furthermore, we confirmed the high expression of SPAG5 in cancer cells and observed that its knockdown upregulated the expression of the p53 protein. In conclusion, SPAG5 holds value as a diagnostic, prognostic, and immune biomarker in various cancers and may provide a novel target for tumor immunotherapy.

Characteristics analysis of solid waste generation and carbon emission of beer production in China.

As the largest beer producer and consumer in the world, China's endeavors to reduce solid waste generation (SWG) and carbon emissions (CEs) in the course of beer production assume paramount significance. This study aims to assess the SWG and CEs in beer production within China at both national and provincial levels, and further delves into the spatial distribution characteristics and evolving patterns across the country. Key findings of the study include:(1) Peak SWG and CEs were recorded in 2013, reaching 861.62 million tons and 2315.10 tCO2e, respectively, followed by a consistent decline. (2) Among the three types of solid waste, spent grain exhibited the highest generation rate, contributing to 94.38% of the total. (3) The emergence of China's beer industry dates back to the 1980s in the northeastern region, expanding to the southeastern and the Yangtze River Basin during the 1990s, ultimately extending nationwide. (4) The spatial distribution of beer production revealed significant regional disparities and notable industry concentration. Notably, many provinces witnessed reduced CEs from beer production starting in 2015, although the extent of reduction varied in different provinces. These findings serve as a scientific foundation for formulating emission reduction strategies in beer producing and offer insights for other food industries in China.

A novel post-percutaneous nephrolithotomy sepsis prediction model using machine learning.

OBJECTIVES: To establish a predictive model for sepsis after percutaneous nephrolithotomy (PCNL) using machine learning to identify high-risk patients and enable early diagnosis and intervention by urologists. METHODS: A retrospective study including 694 patients who underwent PCNL was performed. A predictive model for sepsis using machine learning was constructed based on 22 preoperative and intraoperative parameters. RESULTS: Sepsis occurred in 45 of 694 patients, including 16 males (35.6%) and 29 females (64.4%). Data were randomly segregated into an 80% training set and a 20% validation set via 100-fold Monte Carlo cross-validation. The variables included in this study were highly independent. The model achieved good predictive power for postoperative sepsis (AUC = 0.89, 87.8% sensitivity, 86.9% specificity, and 87.4% accuracy). The top 10 variables that contributed to the model prediction were preoperative midstream urine bacterial culture, sex, days of preoperative antibiotic use, urinary nitrite, preoperative blood white blood cell (WBC), renal pyogenesis, staghorn stones, history of ipsilateral urologic surgery, cumulative stone diameters, and renal anatomic malformation. CONCLUSION: Our predictive model is suitable for sepsis estimation after PCNL and could effectively reduce the incidence of sepsis through early intervention.

The relationship between physical activity and the health of primary and secondary school teachers: the chain mediating effects of body image and self-efficacy.

BACKGROUND: Active health is a new concept, model, and system to maintain the state of whole-person health. In the context of the increasingly serious health problems of primary and secondary school teachers, it is of great significance to explore the relationship between physical activity and primary and secondary school teachers' health based on the active health perspective. METHODS: The survey involving 741 primary and secondary school teachers across representative provinces in China utilized the International Physical Activity Scale, Body Imagery State Scale, and General Self-Efficacy Scale. Data analysis employed SPSS 25.0 and Amos 24.0 software. RESULTS: While no significant gender disparities were observed in body image and self-efficacy, age groups exhibited a bipartite and "V" shaped distribution. Female teachers demonstrated higher physical activity levels (2456.46) and superior physical fitness compared to males (2297.86). A positive correlation emerged between physical activity, body image, self-efficacy, and health status. Importantly, body image and self-efficacy partially mediated the relationship between physical activity and health status, accounting for 82.31% of the total effect. CONCLUSIONS: Primary and secondary school teachers have real problems such as teachers' physical activity is generally insufficient, teachers' body image status is generally poor, and teachers' self-efficacy is low; physical activity is an important factor in promoting primary and secondary school teachers' health status, and low, medium, and high levels of activity all have a promoting effect on the health of primary and secondary school teachers, and the more active primary and secondary school teachers are in terms of physical activity, the better their body image, self-efficacy, and health status are, and the more active primary and secondary school teachers are in terms of physical activity, the more positive the physical activity, self-efficacy, and health status are. The more physically active primary and secondary school teachers are, the better their physical intention, self-efficacy and health status are. SUGGESTIONS: improve the quality and effectiveness, promote the concept of active health among teachers; empower teachers, strengthen the institutional protection of teachers' health; reduce the burden and increase the quantity,and optimise the supply of health services for teachers.

Uncovering the coupling effect with energy-related carbon emissions and human development variety in Chinese provinces.

Lessening energy-related carbon emissions has become a crucial measure to achieve Chinese carbon neutrality. This study is the first to construct a Difference in Carbon pressures-adjusted Human Development Index (DCHDI) model for the purpose of exploring the coupling effect between carbon emissions and human development variety from 2000 to 2019 in Chinese provinces. We demonstrate the following. (1) The total energy-related carbon footprint of 30 provinces in China reached 10.2 billion tons in 2019, with an average annual growth rate of 6.93% over the past two decades; and the provinces with the highest carbon emissions per capita are InnerMongolia, Ningxia, and Shanxi. (2) At the provincial level, we observed that the Human Development Index (HDI), which includes life expectancy, education, and income, has been rising, while Beijing, Shanghai, and Tianjin entered the super-high HDI level before 2008. (3) The entire coupling effect of 30 Chinese provinces has been broadly fortified in the last 20 years, but the growth rate of DCHDI values in 2011-2019 has slowed down compared with that in 2000-2010; the clustering phenomenon demonstrated that this discovery is associated with historical peaks in total carbon emissions. (4) The coordination degree of carbon emissions per capita and HDI was verified, and 96% of the data points were found in the range of super high coupling coordination degree. Overall, this study provides the government with worthwhile guidance for decision-making and carbon reduction strategies for other countries struggling to advance human sustainable development.

Four-decades evolutionary development of municipal solid waste management in China: Implications for sustainable waste management and circular economy.

This study collected data on waste generation and management in China between 1979 and 2020 from government statistics and literature and reviewed the development of municipal solid waste (MSW) management in China. The extended stochastic impact by regression on population, affluence and technology (STIRPAT) model was employed to identify the driving forces of MSW generation, and the cointegration analysis showed that economy (0.35, t = -3.47), industrial structure (3.34, t = -20.77) and urbanization (-1.5, t = 5.678) were the significant socioeconomic driving forces in the long run. By employing the framework of evolutionary economics, this study then investigated the internal rules of long-term interaction between socioeconomic factors and MSW management. The results indicate that, in the long run, MSW management development can be viewed as an evolutionary process that includes a continuous adaptation to external socioeconomic factors and the co-evolution of internal institutions and technologies. Adaptation and diversity of institutions and technologies play an important role in achieving sustainable waste management and circular economy (CE). This study offers a novel evolutionary perspective for explaining dynamic changes of MSW management in China, as well as recommendations for emerging economies to achieve sustainable waste management and CE goals.

International Alliance of Urolithiasis guideline on retrograde intrarenal surgery.

OBJECTIVES: To set out the second in a series of guidelines on the treatment of urolithiasis by the International Alliance of Urolithiasis that concerns retrograde intrarenal surgery (RIRS), with the aim of providing a clinical framework for urologists performing RIRS. MATERIALS AND METHODS: After a comprehensive search of RIRS-related literature published between 1 January 1964 and 1 October 2021 from the PubMed database, systematic review and assessment were performed to inform a series of recommendations, which were graded using modified GRADE methodology. Additionally, quality of evidence was classified using a modification of the Oxford Centre for Evidence-Based Medicine Levels of Evidence system. Finally, related comments were provided. RESULTS: A total of 36 recommendations were developed and graded that covered the following topics: indications and contraindications; preoperative imaging; preoperative ureteric stenting; preoperative medications; peri-operative antibiotics; management of antithrombotic therapy; anaesthesia; patient positioning; equipment; lithotripsy; exit strategy; and complications. CONCLUSION: The series of recommendations regarding RIRS, along with the related commentary and supporting documentation, offered here should help provide safe and effective performance of RIRS.

Development and validation of the UCSS score, a novel method to predict septic shock after PCNL.

OBJECTIVE: To develop an objective and easily recognizable model to predict septic shock following percutaneous nephrolithotomy (PCNL). SUBJECTS AND METHODS: First, we identified differences between 431 patients who underwent PCNL with or without septic shock. These data were used to develop existing models and examine their improvement. Multivariate analysis was applied to identify risk factors of septic shock after PCNL based on the scores allocated to the PCNL postoperative test indicators. Finally, we developed a predictive nomogram using the selected factors and compared its performance with that of the existing nomograms SOFA, qSOFA, and SIRS. RESULTS: Twelve (2.8%) of the patients met the criteria for postoperative septic shock after PCNL. Baseline data analysis revealed differences in sex, preoperative drainage, urinary culture, and urinary leukocyte between groups. After transforming patient data into measurement-level data, we investigated each index score in these conditions, and found that the incidence of septic shock generally increased with the score. Multivariate analysis and early optimization screening revealed that septic shock factors could be predicted using platelets, leukocytes, bilirubin, and procalcitonin levels. We further compared the prediction accuracy of urinary calculi-associated septic shock (UCSS), SOFA, qSOFA, and SIRS scores using the AUC of the ROC curve. As compared to SIRS [AUC 0.938 (95% CI 0.910-0.959)] and qSOFA [AUC 0.930 (95% CI 0.901-0.952)], UCSS [AUC 0.974 (95% Cl 0.954-0.987)] and SOFA [AUC 0.974 (95% CI 0.954-0.987)] scored better at discriminating septic shock after PCNL. We further compared the ROC curves of UCSS with SOFA (95% CI - 0.800 to 0.0808, P = 0.992), qSOFA (95% CI - 0.0611 to 0.0808, P = 0.409), and SIRS (95% CI - 0.0703 to 0.144, P = 0.502), finding that UCSS was non-inferior to these models. CONCLUSIONS: UCSS, a new convenient and cost-effective model, can predict septic shock following PCNL and provide more accurate discriminative and corrective capability than existing models by including only objective data. The predictive value of UCSS for septic shock after PCNL was greater than that of qSOFA or SIRS scores.

Urinary extracellular vesicles prevent di-(2-ethylhexyl) phthalate-induced hypospadias by facilitating epithelial-mesenchymal transition via PFN2 delivery.

BACKGROUND: Urinary extracellular vesicles (EVs) have gained increasing interest in recent years as a potential source of noninvasive biomarkers of diseases related to urinary organs, but knowledge of the mechanism is still limited. The current study sought to clarify the mechanism of urinary EVs behind di-(2-ethylhexyl) phthalate (DEHP)-induced hypospadias via PFN2 delivery. METHOD: PFN2 expression in hypospadias was predicted by bioinformatics analysis. Following the induction of a hypospadias rat model using DEHP, rats were injected with EVs and/or underwent alteration of PFN2 and TGF-ß1 to assess their effects in vivo. The extracted rat urothelial cells (UECs) were co-cultured with EVs extracted from urine for in vitro experiments. RESULT: Microarray analysis predicted poor PFN2 expression in hypospadias. Upregulated PFN2 was found in urinary EVs, and restrained epithelial-mesenchymal transition (EMT) was observed in DEHP-exposed rats. Urinary EVs or PFN2 overexpression increased SMAD2, SMAD3, and TGF-ß1 protein expression and SMAD2 and SMAD3 phosphorylation in UECs and DEHP-exposed rats. UEC migration, invasion, and EMT were augmented by EV co-culture or upregulation of PFN2. Of note, the silencing of TGF-ß1 counterweighed the effect of PFN2. Besides, EV co-culture or overexpression of PFN2 or TGF-ß1 elevated the body weight, anal-genital distance (AGD), anal-genital index (AGI), and EMT of DEHP-exposed rats. CONCLUSION: In summary, urinary EVs activated the SMAD/TGF-ß1 pathway to induce EMT via PFN2 delivery, thus protecting against DEHP-induced hypospadias. (1) EMT in epithelial cells inhibits DEHP-induced hypospadias. (2) Urine-derived EVs deliver PFN2 to promote EMT in epithelial cells. (3) PFN2 can activate the SMAD/TGF-ß1 signaling axis. (4) Urine-derived EVs can transmit PFN2 to activate the SMAD/TGF-ß1 signaling axis, thus promoting EMT and inhibiting the occurrence of hypospadias.

Fast near-infrared photodetectors from p-type SnSe nanoribbons.

Low-dimensional tin selenide nanoribbons (SnSe NRs) show a wide range of applications in optoelectronics fields such as optical switches, photodetectors, and photovoltaic devices due to the suitable band gap, strong light-matter interaction, and high carrier mobility. However, it is still challenging to grow high-quality SnSe NRs for high-performance photodetectors so far. In this work, we successfully synthesized high-quality p-type SnSe NRs by chemical vapor deposition and then fabricated near-infrared photodetectors. The SnSe NR photodetectors show a high responsivity of 376.71 A W-1, external quantum efficiency of 5.65 × 104%, and detectivity of 8.66 × 1011Jones. In addition, the devices show a fast response time with rise and fall time of up to 43µs and 57µs, respectively. Furthermore, the spatially resolved scanning photocurrent mapping shows very strong photocurrent at the metal-semiconductor contact regions, as well as fast generation-recombination photocurrent signals. This work demonstrated that p-type SnSe NRs are promising material candidates for broad-spectrum and fast-response optoelectronic devices.

Environmental risk assessment near a typical spent lead-acid battery recycling factory in China.

In recent years, environmental pollution and public health incidents caused by the recycling of spent lead-acid batteries (LABs) has becoming more frequent, posing potential risk to both the ecological environment and human health. Accurately assessing the environmental risk associated with the recycling of spent LABs is a prerequisite for achieving pollution control. In this study, a spent LABs recycling factory in Chongqing was investigated through on-site investigation, sample analysis. Exposure assessment and health risk assessment were also conducted. The results showed that: firstly, Pb and As concentrations exceeding the standard limit values were found in the environmental air and vegetables near the spent LABs recycling factory. Secondly, exposure assessment results showed that total average daily exposure to hazardous substances for children (3.46 × 10-2 mg/kg) is higher than for adults (4.80 × 10-2 mg/kg). The main exposure pathways for Pb, Cr, Ni, Cu, Zn, and Hg are ingestion of vegetables, while those for Cd, As, and Sb are through inhalation. Thirdly, health risk assessment results indicate that environmental exposure poses unacceptable non-carcinogenic and carcinogenic risk to both adults and children near the spent LABs recycling factory, with children facing higher risk than adults. Pb and As are the main contributors to non-carcinogenic risk, and Ni and As are the main contributors to unacceptable carcinogenic risk. In particular, As, has a greater contribution to total carcinogenic risk index through inhalation than vegetable ingestion. Overall, vegetable ingestion and inhalation are the main exposure pathways for non-carcinogenic and carcinogenic risk. Consequently, future risk assessment should focus on the impact of hazardous substances on children, as well as the health risk associated with ingestion of vegetables and inhalation. Our findings will provide basic information for proposing measures of environmental risk prevention during the recycling of spent LABs, for example, controlling of As in exhaust gas emissions.

1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation.

Direction of arrival (DOA) estimation for conformal arrays is challenging due to non-omnidirectional element patterns and shadow effects. Conical conformal array (CCA) can avoid the shadow effect at small elevation angles. So CCA is suitable for DOA estimation on both azimuth and elevation angles at small elevation angles. However, the element pattern in CCA cannot be obtained by conventional directional element coordinate transformation. Its local element pattern also has connection with the cone angle. The paper establishes the CCA radiation pattern in local coordinate system using 2-D coordinate transformation. In addition, in the case of large elevation angle, only half elements of the CCA can receive signal due to the shadow effect. The array degrees of freedom (DOF) are reduced by halves. We introduce the difference coarray method, which increases the DOF. Moreover, we propose a more accurate propagator method for 2-D cases. This method constructs a new propagation matrix and reduces the estimation error. In addition, this method reduces computational complexity by using linear computations instead of eigenvalue decomposition (EVD) and avoids spectral search. Simulation and experiment verify the estimation performance of the CCA. Both demonstrate the CCA model established in this paper is corresponding to the designed CCA antenna, and the proposed algorithms meet the needs of CCA angle detection. When the number of array elements is 12, the estimation accuracy is about 5 degrees.

[Regulation of ischemic stroke by circadian rhythm and intervention by traditional Chinese medicine].

Circadian rhythm is an internal regulatory mechanism formed in organisms in response to the circadian periodicity in the environment, which modulates the pathophysiological events, occurrence and development of diseases, and the response to treatment in mammals. It significantly influences the susceptibility, injury, and recovery of ischemic stroke, and the response to therapy. Accumulating evidence indicates that circadian rhythms not only regulate the important physiological factors of ischemic stroke events, such as blood pressure and coagulation-fibrinolysis system, but also participate in the immuno-inflammatory reaction mediated by glial cells and peripheral immune cells after ischemic injury and the regulation of neurovascular unit(NVU). This article aims to link molecular, cellular, and physiological pathways in circadian biology to the clinical consequences of ischemic stroke and to illustrate the impact of circadian rhythms on ischemic stroke pathogenesis, the regulation of NVU, and the immuno-inflammatory responses. The regulation of circadian rhythm by traditional Chinese medicine is reviewed, and the research progress of traditional Chinese medicine intervention in circadian rhythm is summarized to provide a reasonable and valuable reference for the follow-up traditional Chinese medicine research and molecular mechanism research of circadian rhythm.

Oxalate-induced apoptosis through ERS-ROS-NF-κB signalling pathway in renal tubular epithelial cell.

BACKGROUND: Kidney stones are composed of approximately 70-80% calcium oxalate. However, the exact mechanism of formation of calcium oxalate kidney stones remains unclear. In this study, we investigated the roles of endoplasmic reticulum stress (ERS), reactive oxygen species (ROS), and the NF-κB signalling pathway in the pathogenesis of oxalate-induced renal tubular epithelial cell injury and its possible molecular mechanisms. METHODS: We established a model to evaluate the formation of kidney stones by intraperitoneal injection of glyoxylic acid solution into mice and assessed cell morphology, apoptosis, and the expression levels of ERS, ROS, and NF-κB signalling pathway-related proteins in mouse renal tissues. Next, we treated HK-2 cells with potassium oxalate to construct a renal tubular epithelial cell injury model. We detected the changes in autophagy, apoptosis, and mitochondrial membrane potential and investigated the ultrastructure of the cells by transmission electron microscopy. Western blotting revealed the expression levels of apoptosis and autophagy proteins; mitochondrial structural and functional proteins; and ERS, ROS, and NF-κB (p65) proteins. Lastly, we studied the downregulation of NF-κB activity in HK-2 cells by lentivirus interference and confirmed the interaction between the NF-κB signalling and ERS/ROS pathways. RESULTS: We observed swelling of renal tissues, increased apoptosis of renal tubular epithelial cells, and activation of the ERS, ROS, and NF-κB signalling pathways in the oxalate group. We found that oxalate induced autophagy, apoptosis, and mitochondrial damage in HK-2 cells and activated the ERS/ROS/NF-κB pathways. Interestingly, when the NF-κB signalling pathway was inhibited, the ERS/ROS pathway was also inhibited. CONCLUSION: Oxalate induces HK-2 cell injury through the interaction between the NF-κB signalling and ERS/ROS pathways.

Deep convolutional neural networks for construction and demolition waste classification: VGGNet structures, cyclical learning rate, and knowledge transfer.

The sorting of Construction and Demolition (C&D) waste is a critical step to linking the recycling system and to the macro prediction, which helps to promote the development of the circular economy. Moreover, the effective classification and automated separation process will also help to stop the spreading of pathogenic organisms, such as virus and bacteria, by minimizing human intervention in the sorting process, while also helping to prevent further contamination by COVID-19 virus. This study aims to develop an efficient method to sort C&D waste through deep learning combined with knowledge transfer approach. In this paper, CVGGNet models, that is four VGG structures (VGGNet-11, VGGNet-13, VGGNet-16, and VGGNet-19), based on knowledge transfer combined with the technology of data augmentation and cyclical learning rate, are proposed to classify ten types of C&D waste images. Results show that 2.5 × 10-4, 1.8 × 10-4, 0.8 × 10-4, and 1.0 × 10-4 are the optimum learning rate for CVGGNet-11, CVGGNet-13, CVGGNet-16, and CVGGNet-19, respectively. Knowledge transfer helped shorten the training time from 1039.45 s to 991.05 s, and while it improved the performance of the CVGGNet-11 model in training, validation, and test datasets. The average training time increases as the number of the layers in the CVGGNet architecture rises: CVGGNet-11 (991.05 s) ˂ CVGGNet-13 (1025.76 s) ˂ CVGGNet-16 (1090.48 s) ˂ CVGGNet-19 (1337.81 s). Compared to other CVGGNet models, CVGGNet-16 showed an excellent performance in various C&D waste types, in terms of accuracy (76.6%), weighted average precision (76.8%), weighted average recall (76.6%), weighted average F1-score (76.6%) and micro average ROC (87.0%). In addition, the t-distributed Stochastic Neighbor Embedding (t-SNE) approach can reduce the dataset to a lower dimension and distinctly separate each type of C&D waste. This study demonstrates the good performance of CVGGNet models that can be used to automatically sort most of the C&D waste, paving the way for better C&D waste management.

[Study on Characterization and Content Determination Method of Silver in Chitosan Antibacterial Gel].

OBJECTIVE: To characterize the silver in chitosan antibacterial gel, and to establish a method for the determination of silver content in samples. METHODS: The silver in the samples was analysed by scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS) and single particle inductively coupled plasma mass spectrometry (SP-ICP-MS). Microwave digestion was adopted to digest the chitosan antibacterial gel, and then the content of silver was determined by flame atomic absorption spectrometry. RESULTS: The analysises showed that the particle size of silver in chitosan antibacterial gel was about 150~ 200 nm. The silver showed good linearity in the concentration range of 25~250 µg/L (y=0.000 35x+0.001 7, r=0.999 9). The recovery rate (n=9) was 98.5%. CONCLUSIONS: SEM, EDS and SP-ICP-MS can be used for the characterization of silver particles in chitosan antibacterial gel. Microwave digestion-flame atomic absorption spectrophotometry method is simple, practicable, high precision and high quantitative accuracy, which is suitable for the quantitative analysis of silver in chitosan antibacterial gel.

Silencing of long noncoding RNA MYLK-AS1 suppresses nephroblastoma via down-regulation of CCNE1 through transcription factor TCF7L2.

Nephroblastoma, a pediatric kidney cancer, caused by pluripotent embryonic renal precursors. Long noncoding RNAs (lncRNAs) are commonly abnormal expressed in many cancers. In the present study, we fousced on one newly discrovered lncRNA, MYLK Antisense RNA 1 (MYLK-AS1), and its functional role in proliferation and cycle distribution of nephroblastoma cells. Micorarray-based analysis revealed the highly expressed Cyclin E1 (CCNE1) and MYLK-AS1 in nephroblastoma. After nephroblastoma tissue sample collection, RT-qPCR confirmed the upregulated expression of MYLK-AS1 and CCNE1 in nephroblastoma tissues and cells. Kaplan-Meier curve exhibited that patients with elevated CCNE1 had lower overall survival rate in follow-up study. RNA binding protein immunoprecipitation, chromatin immunoprecipitation, and dual-luciferase reporter gene assay were employed to determine the relationship among MYLK-AS1, TCF7L2, and CCNE1, which validated that transcription factor 7-like 2 (TCF7L2) could specifically bind to MYLK-AS1 and TCF7L2 could positively promote CCNE1. After gain- and loss-of function assays, the conclusion that silencing of MYLK-AS1 could inhibit expression of CCNE1 through the transcription factor TCF7L2 to regulate the cell proliferation and cell cycle distribution of nephroblastoma cells was obtained. Subsequently, the subcutaneous tumor formation ability of nephroblastoma cell in nude mice was observed and the silencing of MYLK-AS1 exerts suppressive role in the tumorigenic ability of nephroblastoma cells in vivo. Taken together, MYLK-AS1 constitutes a promising biomarker for the early detection and treatment of nephroblastoma.

Performance of SOFA, qSOFA and SIRS to predict septic shock after percutaneous nephrolithotomy.

OBJECTIVE: The new clinical criteria termed SOFA and qSOFA were demonstrated to be more accurate than SIRS in screening patients at high risk of sepsis. We aim to evaluate the ability of SOFA, qSOFA and SIRS to predict septic shock after PCNL. PATIENTS AND METHODS: Consecutive patients undergoing PCNL were included to assess the performance of SOFA, qSOFA and SIRS in predicting septic shock, the AUC of ROC curve and decision curve analysis were used, and the optimal cutoff values and their achieving time were calculated. RESULTS: Of the 431 included patients, 12 (2.7%) cases developed septic shock. Compared with non-septic shock patients, patients with septic shock were more likely to be female, have positive history of urine culture and higher urine leukocyte count, and show increased postoperative serum creatinine, PCT and decreased leukocyte. The optimal cutoff of SOFA, qSOFA and SIRS was > 2, > 0 and > 1, respectively. All of the 12 patients with verified septic shock met SOFA and SIRS criteria, while only 11 cases met qSOFA criterion. SOFA had the identical highest sensitivity (100%) and greater specificity (87% vs. 81%) than SIRS. qSOFA had higher specificity (92%) than both SOFA and SIRS at the expense of lower sensitivity (92%). The AUC of SOFA (0.973) to predict septic shock was greater than that of qSOFA (0.928) and SIRS (0.935). When combined with SIRS, SOFA outperformed qSOFA for discrimination of septic shock (AUC 0.987 vs. 0.978). Decision curve analysis indicated SOFA was clearly superior to both qSOFA and SIRS with a higher net benefit and net reduction in intervention. The qSOFA achieved the best time-based predictive efficiency, with the shortest median time to meet its cutoff, followed by SOFA and SIRS. CONCLUSION: The performance of SOFA in predicting septic shock after PCNL was slightly greater than qSOFA and SIRS. The comprehensive application of various criteria is recommended to assist early detection of septic shock following PCNL.

The characteristics and risk factors of healthcare-seeking men with lower urinary tract symptoms in China: Initial report from the POInT group.

AIMS: To investigate the clinical characteristics of health care-seeking men presenting with lower urinary tract symptoms (LUTS) in China and to reveal risk factors for symptom severity. METHODS: This multicenter, hospital-based, cross-sectional study recruited 1477 eligible male subjects, who were at least 45 years, seeking health care at 9 participating hospitals across the mainland China. The general medical information and subjective symptoms were recorded, followed by the measurement of prostate volume, urodynamic indices, and laboratory tests for kidney function, plus glucose/lipid metabolism. Univariate and multivariate linear regression were employed for the detection of risk factors for symptom severity. RESULTS: The proportion of mild, moderate, and severe LUTS was 14.6%, 32.6%, and 52.8%, respectively, with 62.2% reporting the triple combination of storage, voiding, and postmicturition symptoms. Median prostate volume was 44.6 ml, and 71.1% were experiencing comorbidities. Thirteen independent risk factors for LUTS severity were identified, namely, nocturnal voiding episodes and the presence of straining and weak steam; the triple combination of symptom subtypes; general and nocturia quality of life; Qmax and bladder outlet obstruction index; and numbers of comorbidities, hypertension, estimated glomerular filtration rate, and cholesterol and glycosylated hemoglobin. CONCLUSIONS: The majority of health care-seeking LUTS men present with moderate-to-severe and overlapping symptoms, with a high prevalence of both lower urinary tract dysfunction and systemic comorbidities. The evidence from both urological and nonurological independent risk factors demonstrate the multifactorial nature of LUTS, for which a multidisciplinary management is essential.