In Situ UV-Vis-NIR Absorption Spectroscopy and Catalysis.

This review highlights in situ UV-vis-NIR range absorption spectroscopy in catalysis. A variety of experimental techniques identifying reaction mechanisms, kinetics, and structural properties are discussed. Stopped flow techniques, use of laser pulses, and use of experimental perturbations are demonstrated for in situ studies of enzymatic, homogeneous, heterogeneous, and photocatalysis. They access different time scales and are applicable to different reaction systems and catalyst types. In photocatalysis, femto- and nanosecond resolved measurements through transient absorption are discussed for tracking excited states. UV-vis-NIR absorption spectroscopies for structural characterization are demonstrated especially for Cu and Fe exchanged zeolites and metalloenzymes. This requires combining different spectroscopies. Combining magnetic circular dichroism and resonance Raman spectroscopy is especially powerful. A multitude of phenomena can be tracked on transition metal catalysts on various supports, including changes in oxidation state, adsorptions, reactions, support interactions, surface plasmon resonances, and band gaps. Measurements of oxidation states, oxygen vacancies, and band gaps are shown on heterogeneous catalysts, especially for electrocatalysis. UV-vis-NIR absorption is burdened by broad absorption bands. Advanced analysis techniques enable the tracking of coking reactions on acid zeolites despite convoluted spectra. The value of UV-vis-NIR absorption spectroscopy to catalyst characterization and mechanistic investigation is clear but could be expanded.

MicroRNA-130b Suppresses Malignant Behaviours and Inhibits the Activation of the PI3K/Akt Signaling Pathway by Targeting MET in Pancreatic Cancer.

There has been interested in the microRNAs' roles in pancreatic cancer (PC) cell biology, particularly in regulating pathways related to tumorigenesis. The study aimed to explore the hub miRNAs in PC and underlying mechanisms by bioinformatics and fundamental experiments. RNA datasets collected from the Gene Expression Omnibus were analysed to find out differentially expressed RNAs (DERNAs). The miRNA-mRNA and protein-protein interaction (PPI) networks were built. The clinicopathological features and expressions of hub miRNAs and hub mRNAs were explored. Dual-luciferase reporter gene assay was performed to assess the interaction between microRNA and target gene. RT-qPCR and western blot were employed to explore RNA expression. The roles of RNA were detected by CCK-8 test, wound healing, transwell, and flow cytometry experiment. We verified 40 DEmiRNAs and 1613 DEmRNAs, then detected a total of 69 final functional mRNAs (FmRNAs) and 23 DEmiRNAs. In the miRNA-mRNA networks, microRNA-130b (miR-130b) was the hub RNA with highest degrees. Clinical analysis revealed that miR-130b was considerably lower expressed in cancerous tissues than in healthy ones, and patients with higher-expressed miR-130b had a better prognosis. Mechanically, miR-130b directly targeted MET in PC cells. Cell functional experiments verified that miR-130b suppressed cell proliferation, migration, promoted apoptosis, and inhibited the PI3K/Akt pathway by targeting MET in PC cells. Our findings illustrated the specific molecular mechanism of miR-130b regulating PC progress. The miR-130b/MET axis may be an alternative target in the therapeutic intervention of PC and provide an opportunity to deepen our understanding of the pathogenesis of PC.

Machine learning-based model for predicting major adverse cardiovascular and cerebrovascular events in patients aged 65 years and older undergoing noncardiac surgery.

BACKGROUND: Few evidence-based prediction models have been developed for predicting major adverse cardiovascular and cerebrovascular events (MACCE) in patients aged 65 years or older undergoing noncardiac surgery. In this study, we aimed to analyze the risk factors for perioperative MACCE in patients aged 65 years or older undergoing noncardiac surgery and construct a prediction model. METHODS: In this nested case-control study, a total of 342 Chinese patients who were aged ≥ 65 years and underwent medium- or high-risk noncardiac surgery in our hospital were included. There were 84 cases with MACCE (the MACCE group) and 258 without MACCE (the control group). Univariable logistic regression analysis was performed to identify the risk factors for MACCE. Least absolute shrinkage and selection operator (LASSO) regression was used to screen the variables. Nomogram was constructed using the selected variables. Machine learning methods, including Decision Tree, XGBoost, Support Vector Machine, K-nearest Neighbor, and Neural network, was used to establish, validate, and compare the performance of different prediction models. RESULTS: A prediction model based on nine variables, including age ≥ 85 years, history of ischemic chest pain, symptoms of decompensated heart failure, high-risk surgery, intraoperative minimum systolic blood pressure, postoperative systolic blood pressure, Cr levels over 2.0 mg/dL, left ventricular ejection fraction, and perioperative blood transfusion, was constructed. This LASSO logistic regression model showed good discriminatory ability to predict MACCE (area under the curve = 0.89; 95% confidence interval, 0.818 - 0.963) and fit to the test set (Hosmer-Lemeshow, χ2 = 7.4053, P = 0.4936). The decision curve analysis showed a positive net benefit of the new model. Compared with logistic regression model, the XGBoost model showed better prediction ability (area under the curve = 0.903). A preoperative prediction model based on five variables, including age ≥ 85 years, symptoms of decompensated heart failure, ischemic chest pain, high-risk type of surgery and Cr levels over 2.0 mg/dL was also constructed. This model showed good discriminatory ability to predict MACCE before surgery (area under the curve = 0.720 [95% CI, 0.591-0.848]. Both models compared with the modified RCRI score had improvement in reclassification. CONCLUSION: By analyzing Chinese patients aged ≥ 65 years undergoing medium- or high-risk noncardiac surgery, the risk factors for perioperative MACCE were identified. Then, simple prediction models were constructed and validated, which showed good prediction performance and may be used as a decision-making assistant tool for clinicians. These findings provide a basis for preventing and improving the perioperative management of MACCE.

Photo-Driven Iron-Induced Non-Oxidative Coupling of Methane to Ethane.

Photo-driven CH4 conversion to multi-carbon products and H2 is attractive but challenging, and the development of efficient catalytic systems is critical. Herein, we construct a solar-energy-driven redox cycle for combining CH4 conversion and H2 production using iron ions. A photo-driven iron-induced reaction system was developed, which is efficient at selective coupling of CH4 as well as conversion of benzene and cyclohexane under mild conditions. For CH4 conversion, 94 % C2 selectivity and a C2 H6 formation rate of 8.4 µmol h-1 is achieved. Mechanistic studies reveal that CH4 coupling is induced by hydroxyl radical, which is generated by photo-driven intermolecular charge migration of an Fe3+ complex. The delicate coordination structure of the [Fe(H2 O)5 OH]2+ complex ensures selective C-H bond activation and C-C coupling of CH4 . The produced Fe2+ can be used to reduce the potential for electrolytic H2 production, and then turns back into Fe3+ , forming an energy-saving and sustainable recyclable system.

Soy isoflavone-specific biotransformation product S-equol in the colon: physiological functions, transformation mechanisms, and metabolic regulatory pathways.

Epidemiological data suggest that regular intake of soy isoflavones may reduce the incidence of estrogen-dependent and aging-associated disorders. Equol is a metabolite of soy isoflavone (SI) produced by specific gut microbiota and has many beneficial effects on human health due to its higher biological activity compared to SI. However, only 1/3 to 1/2 of humans are able to produce equol in the body, which means that not many people can fully benefit from SI. This review summarizes the recent advances in equol research, focusing on the chemical properties, physiological functions, conversion mechanisms in vitro and vivo, and metabolic regulatory pathways affecting S-equol production. Advanced experimental designs and possible techniques in future research plan are also fully discussed. Furthermore, this review provides a fundamental basis for researchers in the field to understand individual differences in S-equol production, the efficiency of metabolic conversion of S-equol, and fermentation production of S-equol in vitro.

Photocatalytic transformations of lignocellulosic biomass into chemicals.

As the largest renewable carbon resource, lignocellulosic biomass has great potential to replace fossil resources for the production of high-value chemicals, in particular organic oxygenates. Catalytic transformations of lignocellulosic biomass using solar energy have attracted much recent attention, because of unique reactive species and reaction patterns induced by photo-excited charge carriers or photo-generated reactive species as well as the mild reaction conditions, which may enable the precise cleavage of target chemical bonds or selective functionalisation of specific functional groups with other functional groups kept intact. Here, we present a critical review on recent advances in the photocatalytic transformation of lignocellulosic biomass with an emphasis on photocatalytic cleavage of C-O and C-C bonds in major components of lignocellulosic biomass, including polysaccharides and lignin, and the photocatalytic valorisation of some key platform molecules. The key issues that control the reaction paths and the reaction mechanism will be discussed to offer insights to guide the design of active and selective photocatalytic systems for biomass valorisation under mild conditions. The challenges and future opportunities in photocatalytic transformations of lignocellulosic biomass are also analysed.

Exploration of Human Activity Recognition Using a Single Sensor for Stroke Survivors and Able-Bodied People.

Commonly used sensors like accelerometers, gyroscopes, surface electromyography sensors, etc., which provide a convenient and practical solution for human activity recognition (HAR), have gained extensive attention. However, which kind of sensor can provide adequate information in achieving a satisfactory performance, or whether the position of a single sensor would play a significant effect on the performance in HAR are sparsely studied. In this paper, a comparative study to fully investigate the performance of the aforementioned sensors for classifying four activities (walking, tooth brushing, face washing, drinking) is explored. Sensors are spatially distributed over the human body, and subjects are categorized into three groups (able-bodied people, stroke survivors, and the union of both). Performances of using accelerometer, gyroscope, sEMG, and their combination in each group are evaluated by adopting the Support Vector Machine classifier with the Leave-One-Subject-Out Cross-Validation technique, and the optimal sensor position for each kind of sensor is presented based on the accuracy. Experimental results show that using the accelerometer could obtain the best performance in each group. The highest accuracy of HAR involving stroke survivors was 95.84 ± 1.75% (mean ± standard error), achieved by the accelerometer attached to the extensor carpi ulnaris. Furthermore, taking the practical application of HAR into consideration, a novel approach to distinguish various activities of stroke survivors based on a pre-trained HAR model built on healthy subjects is proposed, the highest accuracy of which is 77.89 ± 4.81% (mean ± standard error) with the accelerometer attached to the extensor carpi ulnaris.

MicroRNA-221-3p is related to survival and promotes tumour progression in pancreatic cancer: a comprehensive study on functions and clinicopathological value.

BACKGROUND: The microRNA miR-221-3p has previously been found to be an underlying biomarker of pancreatic cancer. However, the mechanisms of miR-221-3p underlying its role in pancreatic cancer pathogenesis, proliferation capability, invasion ability, drug resistance and apoptosis and the clinicopathological value of miR-221-3p have not been thoroughly studied. METHODS: Based on microarray and miRNA-sequencing data extracted from Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA), relevant literature, and real-time quantitative PCR (RT-qPCR), we explored clinicopathological features and the expression of miR-221-3p to determine its clinical effect in pancreatic cancer. Proliferation, migration, invasion, apoptosis and in vitro cytotoxicity tests were selected to examine the roles of mir-221-3p. In addition, several miR-221-3p functional analyses were conducted, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Protein-protein interaction (PPI) network analyses, to examine gene interactions with miR-221-3p. RESULTS: The findings of integrated multi-analysis revealed higher miR-221-3p expression in pancreatic cancer tissues and blood than that in para-carcinoma samples (SMD of miR-221-3p: 1.52; 95% CI 0.96, 2.08). MiR-221-3p is related to survival both in pancreatic cancer and pancreatic ductal adenocarcinoma patients. Cell experiments demonstrated that miR-221-3p promotes pancreatic cancer cell proliferation capability, migration ability, invasion ability, and drug resistance but inhibits apoptosis. Further pancreatic cancer bioinformatics analyses projected 30 genes as the underlying targets of miR-221-3p. The genes were significantly distributed in diverse critical pathways, including microRNAs in cancer, viral carcinogenesis, and the PI3K-Akt signalling pathway. Additionally, PPI indicated four hub genes with threshold values of 5: KIT, CDKN1B, RUNX2, and BCL2L11. Moreover, cell studies showed that miR-221-3p can inhibit these four hub genes expression in pancreatic cancer. CONCLUSIONS: Our research revealed that pancreatic cancer expresses a high-level of miR-221-3p, indicating a potential miR-221-3p role as a prognosis predictor in pancreatic cancer. Moreover, miR-221-3p promotes proliferation capacity, migration ability, invasion ability, and drug resistance but inhibits apoptosis in pancreatic cancer. The function of miR-221-3p in the development of pancreatic cancer may be mediated by the inhibition of hub genes expression. All these results might provide an opportunity to extend the understanding of pancreatic cancer pathogenesis.

Preparation optimisation and storage stability of nanoemulsion-based lutein delivery systems.

The present work formed lutein-enriched nanoemulsions stabilised by sodium caseinate (SC) using a high-pressure homogenisation process, and the influence of environmental conditions on the physicochemical stability of the nanoemulsion was investigated. The results showed that the droplet diameter of the nanoemulsion was largely dependent on homogenisation conditions. Optimum results were obtained for 1.0% (w/w) SC, 100 MPa pressure, and 7 homogenisation cycles, which produced a nanoemulsion with a mean droplet diameter of 234.01 ± 3.40 nm, polydispersity index of 0.123 ± 0.028, and zeta potential of -36.56 ± 1.51 mV. The nanoemulsion remained physically stable after a 30 d storage at 4 °C, and the chemical degradation rate of lutein was considerably decreased. Thermal treatment at 60-100 °C had little effect on its physicochemical stability; conversely, pH, ionic strength (NaCl or CaCl2), concentration treatment, and freeze-thaw cycling had major impacts on the physicochemical stability of nanoemulsion.

Pathway construction and metabolic engineering for fermentative production of ectoine in Escherichia coli.

Ectoine is a protective agent and stabilizer whose synthesis pathway exclusively exists in select moderate halophiles. A novel established process called "bacterial milking" efficiently synthesized ectoine in moderate halophiles, however, this method places high demands on equipment and is cost prohibitive. In this study, we constructed an ectoine producing strain by introducing the ectoine synthesis pathway into Escherichia coli and improved its production capacity. Firstly, the ectABC gene cluster from Halomonas elongata was introduced into E. coli W3110 and the resultant strain synthesized 4.9g/L ectoine without high osmolarity. Subsequently, thrA encoding the bifunctional aspartokinase/homoserine dehydrogenase was deleted to weaken the competitive l-threonine branch, resulting in an increase of ectoine titer by 109%. Furthermore, a feedback resistant lysC from Corynebacterium glutamicum encoding the aspartate kinase was introduced to complement the enzymatic activity deficiency caused by thrA deletion and a 9% increase of ectoine titer was obtained. Finally, the promoter of ppc that encodes phosphoenolpyruvate carboxylase was replaced by a trc promoter, and iclR, a glyoxylate shunt transcriptional repressor gene, was deleted. The oxaloacetate pool, was thus reinforced and ectoine titer increased by 21%. The final engineered strain ECT05 (pTrcECT, pSTVLysC-CG) produced 25.1g/L ectoine by fed-batch fermentation in low salt concentration with glucose as a carbon source. The specific ectoine production and productivity was 0.8g/g DCW and 0.84gL(-)(1)h(-)(1) respectively. The overall ectoine yield was 0.11g/g of glucose.

Interaction of heavy metals and pyrene on their fates in soil and tall fescue (Festuca arundinacea).

90-Day growth chamber experiments were performed to investigate the interactive effect of pyrene and heavy metals (Cu, Cd, and Pb) on the growth of tall fescue and its uptake, accumulation, and dissipation of heavy metals and pyrene. Results show that plant growth and phytomass production were impacted by the interaction of heavy metals and pyrene. They were significantly decreased with heavy metal additions (100-2000 mg/kg), but they were only slightly declined with pyrene spiked up to 100 mg/kg. The addition of a moderate dosage of pyrene (100 mg/kg) lessened heavy metal toxicity to plants, resulting in enhanced plant growth and increased metal accumulation in plant tissues, thus improving heavy metal removal by plants. In contrast, heavy metals always reduced both plant growth and pyrene dissipation in soils. The chemical forms of Cu, Cd, and Pb in plant organs varied with metal species and pyrene addition. The dissipation and mineralization of pyrene tended to decline in both planted soil and unplanted soils with the presence of heavy metals, whereas they were enhanced with planting. The results demonstrate the complex interactive effects of organic pollutants and heavy metals on phytoremediation in soils. It can be concluded that, to a certain extent, tall fescue may be useful for phytoremediation of pyrene-heavy metal-contaminated sites. Further work is needed to enhance methods for phytoremediation of heavy metal-organics co-contaminated soil.

The prognostic value of the visually assessed time difference between mitral valve and tricuspid valve opening score for patients with heart failure with mildly reduced ejection fraction.

BACKGROUND: The visually assessed time difference between the mitral valve and tricuspid valve opening (VMT) score was correlated with the increase of left ventricular filling pressure (LVFP). HYPOTHESIS: We suspected that the VMT score might be a valuable prognostic biomarker for heart failure with mildly reduced ejection fraction (HFmrEF) patients. This study was to evaluate the predictive value of VMT score for 1-year all-cause and cardiovascular disease (CVD)-cause mortality in HFmrEF patients. METHODS: This cohort study enrolled 379 patients aged ≥18 years old with HFmrEF. Univariable and multivariable Cox regression analysis was employed to assess the association between VMT score and all-cause or CVD-cause mortality in HFmrEF patients. Hazards ratio (HR), and 95% confidence interval (CI) were effect sizes. Kaplan-Meier curves showed the survival probability of patients. The area under the curve (AUC) evaluated the prognostic value of the VMT score. RESULTS: The risk of all-cause mortality was increased in HFmrEF patients in the VMT score of 2 (HR = 2.80, 95%CI: 1.04-7.52) and 3 (HR = 4.29, 95%CI: 1.58-11.66). The VMT score of 3 was associated with an increased risk of 1-year CVD-cause mortality in patients with HFmrEF (HR = 7.63, 95%CI: 1.70-34.33). The AUC of VMT score for predicting 1-year all-cause mortality of HFmrEF patients was 0.724, and for predicting 1-year CVD-cause mortality of HFmrEF patients was 0.748. The survival probability of patients with the VMT score < 2 was higher than those with the VMT score of 2 and 3. CONCLUSION: The VMT score might be a reliable prognostic index for 1-year all-cause or CVD-cause mortality of HFmrEF patients.

Zinc-indium-sulfide favors efficient C - H bond activation by concerted proton-coupled electron transfer.

C - H bond activation is a ubiquitous reaction that remains a major challenge in chemistry. Although semiconductor-based photocatalysis is promising, the C - H bond activation mechanism remains elusive. Herein, we report value-added coupling products from a wide variety of biomass and fossil-derived reagents, formed via C - H bond activation over zinc-indium-sulfides (Zn-In-S). Contrary to the commonly accepted stepwise electron-proton transfer pathway (PE-ET) for semiconductors, our experimental and theoretical studies evidence a concerted proton-coupled electron transfer (CPET) pathway. A pioneering microkinetic study, considering the relevant elementary steps of the surface chemistry, reveals a faster C - H activation with Zn-In-S because of circumventing formation of a charged radical, as it happens in PE-ET where it retards the catalysis due to strong site adsorption. For CPET over Zn-In-S, H abstraction, forming a neutral radical, is rate-limiting, but having lower energy barriers than that of PE-ET. The rate expressions derived from the microkinetics provide guidelines to rationally design semiconductor catalysis, e.g., for C - H activation, that is based on the CPET mechanism.

Unusual facet and co-catalyst effects in TiO2-based photocatalytic coupling of methane.

Photocatalytic coupling of methane to ethane and ethylene (C2 compounds) offers a promising approach to utilizing the abundant methane resource. However, the state-of-the-art photocatalysts usually suffer from very limited C2 formation rates. Here, we report our discovery that the anatase TiO2 nanocrystals mainly exposing {101} facets, which are generally considered less active in photocatalysis, demonstrate surprisingly better performances than those exposing the high-energy {001} facet. The palladium co-catalyst plays a pivotal role and the Pd2+ site on co-catalyst accounts for the selective C2 formation. We unveil that the anatase {101} facet favors the formation of hydroxyl radicals in aqueous phase near the surface, where they activate methane molecules into methyl radicals, and the Pd2+ site participates in facilitating the adsorption and coupling of methyl radicals. This work provides a strategy to design efficient nanocatalysts for selective photocatalytic methane coupling by reaction-space separation to optimize heterogeneous-homogeneous reactions at solid-liquid interfaces.

Contribution of a Circulating 2'-O-methylated MicroRNA Panel to the Diagnosis of Pancreatic Ductal Adenocarcinoma.

Background: We conducted an assessment of 2'-O-methylated (2'OMe) microRNAs (miRNAs) present in the circulation of individuals suffering from pancreatic ductal adenocarcinoma (PDAC). Subsequently, we devised a set of circulating 2'OMe miRNAs that can be utilized for the screening of PDAC patients within a group at increased risk. Methods: A four-step, multicenter research was carried out. The initial screening phase involved analyzing 10 samples from patients with pancreatic ductal adenocarcinoma (PDAC) and 10 specimens from donors who were in good health. RNA sequencing was performed on these specimens after pre-treatment via NaIO4. The instruction and confirmation phases involved the use of 2'OMe miRNA profiling and multivariate analysis to examine applicant 2'OMe miRNAs in a sample of 248 individuals. In a prospective registration population of 135 individuals, a clinical screening panel was created and confirmed. The performance of individual 2'OMe miRNAs or the biomarker panel was evaluated using the receiver operating characteristic curve. Results: Abnormal circulating 2'OMe miRNAs were detected in individuals suspected of pancreatic ductal adenocarcinoma (PDAC). A circulating panel of 3-2'OMe miRNAs, namely miR-28-3p, miR-143-3p, and miR-151a-3p, was subsequently identified. These miRNAs continually exhibited up-regulation in plasma samples of patients with pancreatic ductal adenocarcinoma (PDAC). The panel's area under the curve (AUC) was 1.0 in the experimental group and 0.928 in the verification cohort when comparing PDAC patients in all clinical stages to normal controls. During the application study, both the specificity and sensitivity were found to be 75.00% and 89.72% respectively, with an AUC value of 0.868. In the comparison between early-stage (I-II) PDAC patients and control subjects, the panel demonstrated an AUC of 1.0 in the training cohort and 0.924 in the validation population. In the application group the AUC was 0.810 (95% CI 0.729-0.876) in comparison to the high-risk symptomatic group. Conclusion: Abnormal circulating 2'OMe miRNAs were detected in individuals with pancreatic ductal adenocarcinoma (PDAC). Consequently, we devised a 2'OMe miRNA biological marker panel that holds promise as an initial detection tool for PDAC.

Effectiveness of ischemic compression on myofascial trigger points in relieving neck pain: A systematic review and meta-analysis.

BACKGROUND: Ischemic compression is widely used to clinically treat neck pain. However, no meta-analysis has been conducted to evaluate the effects of this process on neck pain. OBJECTIVE: This study aimed to evaluate the effects of ischemic compression on the myofascial trigger points for improving neck pain-related symptoms (mainly pain, joint mobility limitation and function limitation) and to compare ischemic compression with other therapies. METHODS: Electronic searches were conducted in PubMed, OVID, Web of Science, EBSCO, SCOUPS, Cochrane Library, PEDro, Wanfang, CNKI and Chinese VIP Database in June 2021. Only randomised controlled trials on the effects of ischemic compression on neck pain were included. The major outcomes were pain intensity, pressure pain threshold, pain-related disability and range of motion. RESULTS: Fifteen studies involving 725 participants were included. Significant differences were observed between ischemic compression and sham/no treatment group in pain intensity, pressure pain threshold and range of motion immediately and in the short term. Significant effect sizes of dry needling were observed over ischemic compression in terms of improving pain intensity (SMD = 0.62; 95% CI: 0.08 to 1.16; P= 0.02), pain-related disability (SMD = 0.68; 95% CI: 0.19 to 1.17; P= 0.007) and range of motion (MD =-2.12; 95% CI: -2.59 to -1.65; P< 0.001) immediately after treatment. Dry needling also showed a significant small effect size for the short-term reduction of pain (SMD = 0.44; 95% CI: 0.04 to 0.85; P= 0.03). CONCLUSION: Ischemic compression can be recommended in the immediate and short-term pain relief and increase in the pressure pain threshold and range of motion. Dry needling is superior to ischemic compression in relieving pain and improving pain-related disability and range of motion immediately after treatment.

A New Predictive Model for In-Hospital Major Adverse Cardiac and Cerebrovascular Events in Chinese Patients After Major Noncardiac Surgery.

Prediction tools focused on cardiovascular and cerebrovascular events after noncardiac surgery are lacking, particularly for Chinese patients. We developed and validated what we believe is a new predictive tool for postoperative major cardiovascular and cerebrovascular events (MACCEs) in Chinese patients in this study. Overall, 401 variables derived from 598 patients who received noncardiac surgery at our center were retrospectively analyzed to develop and validate the new predictive model for MACCEs during hospitalization. The 7 strongest predictors for MACCEs in the development cohort were chronic heart failure, age, atrial fibrillation, general anesthesia, history of coronary heart disease, high-risk procedures, and lymphocyte count. The area under the receiver operating characteristic curve was 0.698 (95% confidence interval 0.616 to 0.780) for the new predictive tool with the validation cohort. Receiver operating characteristic curve analysis showed the new predictive tool had better performance than the Revised Cardiac Risk Index and the American College of Surgeons National Surgical Quality Improvement Program scores. This new predictive tool is effective for the prediction of postoperative MACCEs in patients who undergo noncardiac surgery.

MBNL1-AS1 Promotes Hypoxia-Induced Myocardial Infarction via the miR-132-3p/RAB14/CAMTA1 Axis.

Background: Mounting evidence have indicated that long noncoding RNA (lncRNA) muscleblind like splicing regulator 1 antisense RNA 1 (MBNL1-AS1) play a crucial regulatory role in cardiovascular disease, myocardial infarction (MI) included. In this research, we sought to probe into the biological function and potential mechanism of MBNL1-AS1 in MI. Methods: Cardiomyocytes were treated under hypoxic conditions for 0-12 h. Functional assays including CCK-8 and flow cytometry were performed to assess hypoxia-stimulated cardiomyocyte viability and apoptosis, respectively. Moreover, bioinformatics analysis and mechanical assays were conducted to reveal the competitive endogenous RNA (ceRNA) mechanism of MBNL1-AS1. Results: The upregulation of MBNL1-AS1 was found in hypoxia-stimulated cardiomyocytes. Functionally, the downregulation of MBNL1-AS1 dramatically promoted hypoxia-induced cardiomyocyte viability and inhibited apoptosis. Mechanistically, miR-132-3p bound to MBNL1-AS1 in hypoxia-induced cardiomyocytes, and miR-132-3p directly targeted RAB14, member RAS oncogene family (RAB14) and calmodulin binding transcription activator 1 (CAMTA1). Furthermore, MBNL1-AS1 upregulates the expression of RAB14 and CAMTA1 in hypoxia-stimulated cardiomyocytes via targeting miR-132-3p. Conclusions: The current study revealed the critical role of the MBNL1-AS1/miR-132-3p/RAB14/CAMTA1 axis in MI, indicating MBNL1-AS1 as an innovative therapeutic target for MI.

Evaluation of Fe3O4-MnO2@RGO magnetic nanocomposite as an effective persulfate activator and metal adsorbent in aqueous solution.

A reduced graphene oxide (RGO) supported Fe3O4-MnO2 nanocomposite (Fe3O4-MnO2@RGO) was successfully prepared for catalytic degradation of oxytetracycline (20 mg/L) by potassium persulfate (PS) and adsorption removal of mixture of Pb2+, Cu2+, and Cd2+ ions (each 0.2 mM) in the synchronous scenario. The removal efficiencies of oxytetracycline, Pb2+, Cu2+, and Cd2+ ions were observed as high as 100%, 99.9%, 99.8%, and 99.8%, respectively, under the conditions of [PS]0 = 4 mM, pH0 = 7.0, Fe3O4-MnO2@RGO dosage = 0.8 g/L, reaction time = 90 min. The ternary composite exhibited higher oxytetracycline degradation/mineralization efficiency, greater metal adsorption capacity (Cd2+ 104.1 mg/g, Pb2+ 206.8 mg/g, Cu2+ 70.2 mg/g), and better PS utilization (62.6%) than its unary and binary counterparts including RGO, Fe3O4, Fe3O4@RGO, and Fe3O4-MnO2. More importantly, the ternary composite had good magnetic recoverability and excellent reusability. Notably, Fe, Mn, and RGO could play a synergistic role in the improvement of pollutant removal. Quenching results indicate that surface bounded SO4•- was the major contributor to oxytetracycline decomposition, and the -OH groups on the composite surface shouldered a significant role in PS activation. The results indicate that the magnetic Fe3O4-MnO2@RGO nanocomposite has a good potential for removing organic-metal co-contaminants in waterbody.

High-performance Cu/Mn modified ceramsite as a persulfate activator to degrade oxytetracycline in batch Erlenmeyer flask and continuous-flow fixed-bed column systems: An exploration of its practicability and non-radical mechanisms.

Persulfate non-radical oxidation have excellent catalytic capability for degrading specific contaminants in complicated water environments. Nevertheless, the preparation of high-performance activators and their application in actual water treatment in continuous flow mode are still scarce and unsatisfactory. In this work, copper-, manganese-, and copper/manganese-doped ceramsites (Cu-C, Mn-C and Cu/Mn-C), successfully fabricated through a facile impregnation-calcination approach, were characterized and evaluated for their performance to activate potassium peroxydisulfate (PDS) and degrade oxytetracycline (OTC) under different pH, ceramsite dosages, and PDS dosages. Compared with Cu-C and Mn-C, Cu/Mn-C showed the highest OTC degradation rate (0.0264 min-1) via activating PDS with an OTC removal efficiency of 98.2% in 240 min at an initial OTC concentration of 40 mg/L. The removal efficiency of OTC by Cu/Mn-C only decreased to 92.8% after 5 cycles; the activating ability of the used Cu/Mn-C was almost completely recovered through 2 h of calcination at 500 °C. The results of electron paramagnetic resonance and radical quenching suggest that singlet oxygen (1O2) was unveiled to be the dominant reactive oxygen species (ROS) for contaminant degradation, originating from the regrouping of superoxide ions or reduction of active Cu/Mn sites. Synergies between Cu and Mn species to enhance ROS yield were the primary activating mechanisms. Six possible routes of OTC decomposition were inferred. Additionally, Cu/Mn-C behaved excellently in treating an actual wastewater using a continuous flow fixed-bed reactor. It is believed that this novel Cu/Mn-C/PDS system may create a fresh path to design effective and cheap metal-ceramsite hybrid activators for degrading recalcitrant contaminants in the actual application process.