Identification and Validation of Two Novel Prognostic lncRNAs in Kidney Renal Clear Cell Carcinoma

Background/Aims: Kidney renal clear cell carcinoma (KIRC) is one of the most fatal malignancies due to late diagnosis and poor treatment. To improve its prognosis, a screening for molecular biomarkers of KIRC is urgently needed. Long non-coding RNAs (lncRNAs) play important roles in tumorigenesis and prognosis of cancers. However, it is not clear whether lncRNAs can be used as molecular biomarkers in predicting the survival of KIRC patients. Methods: In this study, our aim was to identify lncRNAs/mRNAs signatures and their prognostic values in KIRC. The aberrant expression profile of mRNAs and lncRNAs in 529 KIRC tissues and 72 adjacent non-tumor pancreatic tissues were obtained from the Cancer Genome Atlas (TCGA). A weighted gene co-expression network analysis (WGCNA) of two key lncRNAs was constructed. We constructed an aberrant lncRNA-mRNA-miRNA ceRNA network in CESC. In addition, Gene Ontology (GO) and KEGG pathway analysis were performed. Results: Using lncRNA/mRNA expression profiling data, the overall analysis revealed that two novel lncRNA signatures (DNM1P35 and MIR155HG) and several mRNAs were found to be significantly correlated with KIRC patient’s overall analysis. Based on the target gene of the two lncRNA in co-expression network, the GO and KEGG analysis were also performed. A dysregulated lncRNA-related ceRNA network was also observed. Conclusion: These results suggested that the two novel lncRNAs signatures may act as independent prognostic biomarkers for predicting the survival of KIRC patient

Modified Silica Incorporating into PDMS Polymeric Membranes for Bioethanol Selection

In this work, polydimethylsiloxane (PDMS) polymeric membranes were fabricated by incorporating fumed silica nanoparticles which were functionalized with two silane coupling agents—NH2(CH2)3Si(OC2H5)3 (APTS) and NH2(CH2)2NH(CH2)3Si(OC2H5)3 (TSED)—for selective removal of ethanol from aqueous solutions via pervaporation. It was demonstrated that large agglomerates were not observed indicating the uniform distribution of modified silica throughout the PDMS matrices. It is noted that the ethanol diffusivity and the water contact angles were both increased remarkably, being beneficial to the preferential permeation of ethanol through the membranes. The pervaporation results showed that the addition of the two types of modified silica nanoparticles dramatically enhanced both the permeability and selectivity of hybrid membranes. Compared to APTS, silica modified by TSED at the concentration of 4 wt. % resulted in the optimum pervaporation membranes with the maximum separation factor of 12.09 and the corresponding permeation flux of approximately 234.0 g·m−2·h−1 in a binary aqueous mixture at 40°C containing 10 wt. % ethanol. The observation will benefit the choice of coupling agents to improve the compatibility between hydrophilic fillers and hydrophobic polymers in preparing mixed matrix membranes

Chinese open information extraction based on DBMCSS in the field of national information resources

Binary entity relationship tuples can be applied in many fields such as knowledge base construction, data mining, pattern extraction, and so on. The purpose of entity relationship mining is discovering and identifying the semantic relationship. As the relationship between entities are different from the general domain, using supervise learning methods to extract entity relationships in the field of ethnicity is difficult. After research, we find that some words can be used in the context of a sentence to describe the semantic relationship. In order to salve the existing difficulties of building tagged corpus and the predefined entities-relationships model, this paper proposes a method of density-based multi-clustering clustering of semantic similarity (DBMCSS) to mine the binary entity relationship tuples from the Chinese national information corpus, which can extract entity relationships without a training corpus

The association between sedentary behavior and obstructive sleep apnea: a cross-sectional study from the NHANES (2007–2008 to 2015–2020)

Abstract Background Sedentary behavior (SB) may contribute to obesity and lower extremity fluid retention, which may favor the development of obstructive sleep apnea (OSA). However, linking sedentary behavior to OSA is unclear. The purpose of this study was to determine if there is an association between SB and OSA. Methods Three typical questions in the NHANES questionnaire(①The frequency of feeling excessively sleepy per month. ②The frequency of gasping, snorting or stopping breathing per week. ③The frequency of snoring per week.) have been used for the assessment of OSA. A physical activity questionnaire(On a typical day, the amount of time you spend sitting or reclining.) was used to assess SB. This secondary analysis included National Health and Nutrition Examination Survey (NHANES) participants (unweighted = 20,115). Weighted sample and multiple logistic regression complex sample analysis techniques were used in this study. Results After adjustment for confounders, participants with SB(> 8 h/d) had a higher risk of OSA compared to SB(< 4 h/d). Stratified analysis by gender showed that there was no significant association of SB and OSA in men. However, in women, with SB(< 4 h/d) as the reference, participants with(≥ 4 h/d) had an increased risk of OSA. By age-stratified analysis, the association of SB with OSA was stronger among older participants. Conclusion Analysis in this study showed a positive association between SB and OSA, more pronounced in women and participants older than 60 years old

Pyroptosis‐related gene signatures are associated with prognosis and tumor microenvironment infiltration in head and neck cancer

Abstract Background and Aims Recent studies have highlighted the biological significance of pyroptosis in cancer development. Nevertheless, it is still uncertain if pyroptosis also plays a part in immune modulation and the creation of the tumor microenvironment (TME). Methods The pyroptosis regulatory genes (PRGs) were comprehensively assessed in 1938 head and neck cancer samples, and systematically correlated these modification patterns with the infiltration characteristics of TME cells. The unsupervised consensus analysis method was used to identify specific pyroptosis clusters. The single‐sample gene set enrichment analysis and CIBERSOFT algorithms were used to evaluate the infiltration levels of various immune cell subsets. A principal component analysis algorithm was used to construct the pyrolysis potential index (PPI) to quantify the pyrolysis regulation patterns in head and neck squamous cell carcinoma (HNSC). Results Pyrophosphate regulatory genes (PRGs) are often upregulated in tumors due to mutations. PRGs relate to various clinical outcomes and pathways. Molecular subtyping identified pyroptosis patterns, which align with three tumor immunophenotypes: immune‐inflamed, immune‐excluded, and immune‐desert. The PPI measures pyrolysis roles, showing higher PPI in tumor samples linked to subtypes and clinical characteristics. Lower PPI correlates with longer survival, increased immune activity, more tumor mutations, high PD‐L1 expression, and mutations in significant genes like PIK3CA. Such patients also experience enhanced immune responses in immunotherapy trials. Conclusion We conducted a comprehensive examination of pyroptosis in HNSC and developed a PPI indicator that shows a strong correlation with the variety and intricacy of the TME

Characteristic Features of the Evolution of a Meiyu Frontal Rainstorm with Doppler Radar Data Assimilation

During the Meiyu period, floods are prone to occur in the middle and lower reaches of the Yangtze River because of the highly concentrated and heavy rainfall, which caused huge life and economic losses. Based on numerical simulation by assimilating Doppler radar, radiosonde, and surface meteorological observations, the evolution mechanism for the initiation, development, and decaying of a Meiyu frontal rainstorm that occurred from 4th to 5th July 2014 is analyzed. Results show that the numerical experiment can well reproduce the temporal variability of heavy precipitation and successfully simulate accumulative precipitation and its evolution over the key rainstorm area. The simulated “rainbelt training” is consistent with observed “echo training” on both spatial structure and temporal evolution. The convective cells in the mesoscale convective belt propagated from southwest to northeast across the key rainstorm area, leading to large accumulative precipitation in this area. There existed convective instability in lower levels above the key rainstorm area, while strong ascending motion developed during the rainstorm process. Combined with abundant water vapor supply, the above condition was favorable for the formation and development of heavy rainstorm. The low-level jet (LLJ) provided sufficient energy for the rainstorm system, and the low-level convergence intensified, which was important for the maintenance of precipitation system and its eventual intensification to rainstorm. At its mature stage, the rainstorm system demonstrated vertically tilted structure with strong ascending motion in the key rainstorm area, which was favorable for the occurrence of rainstorm. In the decaying stage, unstable energy decreased and the rainstorm no longer had sufficient energy to sustain. The rapid weakening of LLJ resulted in smaller energy supply to the convective system, and the stratification tended to be stable in the middle and lower levels. The ascending motion weakened correspondingly, which made it hard for the convective system to maintain

The relationship among adiponectin, high sensitive C reactive protein and triacylglycerol level in healthy young persons

Abstract Background The elevated postprandial triacylglycerol (TG) concentration is associated with elevated coronary artery disease. Oral fatty tolerant test (OFTT) is less performed in the health. This study was to evaluate the effect of sex and body mass index (BMI) on postprandial TG concentration of the low fat meal in healthy young persons. This study included 112 healthy college students (18.8+/-1.6y). Their body height and weight were measured for body mass index (BMI). According to BMI, 27 subjects were in the under-weight subgroup, 60 in the normal weight subgroup and 25 in the over-weight subgroup. After overnight fasting low fat OFTT (27 g fat, 600 kcal) was performed and the plasma TG and glucose concentrations were measured before and at 2, 4 and 6 hour after a fat meal. The area under the curve (AUC) of TG was calculated. Results The fasting TG levels were similar and the fasting TG levels gradually increased as BMI increased in both sexes. The postprandial TG levels at 2 and 4 h decreased in female, but did not significant change in male. In female, the TG curves of 3 BMI subgroups showed saddle type, but in male the TG curve of the over-weight subgroup had a peak at 2 h, on the other hand the TG curve of under- weight subgroup had a dip at 2 h. Conclusions Gender and BMI are important influencing factors for TG metabolism after fat meal in the youth. The young male persons with over-BMI have abnormal TG metabolism.</p

Additional file 1 of The association between sedentary behavior and obstructive sleep apnea: a cross-sectional study from the NHANES (2007–2008 to 2015–2020)

Supplementary Material