Abstract A large number of studies have shown that air pollution has a great impact on cardiovascular diseases (CVD). However, there are few bibliometric studies or visual analyses in this field. The objective of this study was to research trends and hotspots of air pollution and CVD. We used CiteSpace and VOSviewer software to retrieve relevant studies from the Web of Science Core Collection (WoSCC) over the past decade. Amount to 4284 documents on air pollution and CVD were included in this study. The past decade saw an upward trend in the number of studies. The analysis of national publications showed that the United States had the highest academic contribution in this field. Peking University, the University of Washington and Harvard University were the main institutions studying the effect of air pollution on CVD. The cooperation among institutions with high publications was very close. Cluster analysis of the keywords listed four categories as follow: (1) oxidative stress and the cardiovascular effects of air pollution; (2) the cardiovascular effects of pollution exposure sources; (3) the relationship between environmental stressors and CVD; (4) personal-level interventions. This study puts forward a comprehensive summary of the trends and development of air pollution and CVD, confirms the research frontier and hotspot direction and could give a meaningful reference for researchers in this field.
The most compelling and simplest chaotic circuits have always been technical challenges. Here we report an inductor-less 555 timer chaotic circuit, combined with two resistors and two capacitors, illustrating on three dimensional (3D) strange attractor. After being seen through Lyapunov exponents, the gained 3D chaotic signals passed the complexity measuring tests of spectral entropy complexity, spring test and recurrence plot analysis. The 555 timer chaos generating mechanisms rely on both the nonlinear double threshold of inner Schmidt trigger and the frequency broadening of differential external capacitor. The chaotic start-up characteristic is due to the random resonance induced by the internal random switching noise of comparators in 555 timer chip.
SUMMARY PI3K/AKT signaling is known to regulate cancer metabolism but whether metabolic pathway feedbacks and regulates the PI3K/AKT pathway is unclear. Here, we demonstrate the important reciprocal cross-talks between the PI3K/AKT signal and PPP branching metabolic pathways. PI3K/AKT activation stabilizes G6PD, the rate-limiting enzyme of PPP, by inhibiting a newly identified E3 ligase TIRM21, and promotes PPP. PPP metabolites, in turn, reinforce AKT activation and further promote cancer metabolic reprogramming by blocking the expression of an AKT inhibitor PHLDA3. Knockout TRIM21 or PHLDA3 promotes the cross-talks and cell proliferation. Importantly, PTEN null human cancer cells and in vivo murine models are sensitive to anti-PPP treatments, suggesting the importance of PPP in maintaining AKT activation even in the presence of a constitutively activated PI3K pathway. Our study suggests that blockade of these reciprocal cross-talks may have a therapeutic benefit for cancers with PTEN loss or PI3K/AKT activation.
Abstract Alternative splicing (AS) is critically associated with tumorigenesis and patient's prognosis. Here, we systematically analyzed survival‐associated AS signatures in oral squamous cell carcinoma (OSCC) and evaluated their prognostic predictive values. Survival‐related AS events were identified by univariate and multivariate Cox regression analyses using OSCC data from the TCGA head neck squamous cell carcinoma data set. The Percent Spliced In calculated by SpliceSeq from 0 to 1 was used to quantify seven types of AS events. A predictive model based on AS events was constructed by least absolute shrinkage and selection operator Cox regression assay and further validated using a training‐testing cohort design. Patient survival was estimated using the Kaplan–Meier method and compared with Log‐rank test. The receiver operating characteristics curve area under the curves was used to evaluate the predictive abilities of these predictive models. Furthermore, gene–gene interaction networks and the splicing factors (SFs)‐AS regulatory network was generated by Cytoscape. A total of 825 survival‐related AS events within 719 genes were identified in OSCC samples. The integrative predictive model was better at predicting outcomes of patients as compared to those models built with the individual AS event. The predictive model based on three AS‐related genes also effectively predicted patients’ survival. Moreover, seven survival‐related SFs were detected in OSCC including RBM4, HNRNPD, and HNRNPC, which have been linked to tumorigenesis. The SF‐AS network revealed a significant correlation between survival‐related AS genes and these SFs. Our findings revealed a systemic portrait of survival‐associated AS events and the splicing network in OSCC, suggesting that AS events might serve as novel prognostic biomarkers and therapeutic targets for OSCC.
Background: Prostacyclin (PGI2) is a potent vasodilator and important mediator of vascular homeostasis. However, its less than 2 minute half-life makes clinical application cumbersome. Thus, we hyp...
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)