Vonoprazan-based therapies versus PPI-based therapies in patients with H. pylori infection: Systematic review and meta-analyses of randomized controlled trials.

BACKGROUND: This study aims to evaluate the efficacy and safety of vonoprazan-amoxicillin (VA), vonoprazan-amoxicillin-clarithromycin (VAC), vonoprazan-based bismuth-containing quadruple therapy (VBQT), and PPI-based triple (PAC) or quadruple therapy (PBQT) for H. pylori infection with the consideration of duration of therapy and amoxicillin dose (H: high; L: low). MATERIALS AND METHODS: PubMed, Embase, and the Cochrane Central Register of Controlled Trials were searched for eligible randomized controlled trials (RCTs) up to December 15, 2023. The efficacy outcome was eradication rate, and safety outcomes included the rates of adverse events and treatment discontinuation. RESULTS: Twenty-seven RCTs were included. The pooled eradication rates were 82.8% for VA, 89.1% for VAC, and 91.8% for VBQT, which increased with the higher amoxicillin frequency of administration and extended duration of therapy within each regimen. There were no significant differences in eradication rate when comparing 7-VA versus 7-VAC and 14-VA versus 14-VAC. VA was at least comparable to PAC. The eradication rate did not differ significantly between 10-H-VA or 14-H-VA versus 14-PBQT. 7-L-VAC demonstrated higher eradication rate versus 7-PAC and comparable rate to 14-PAC. 14-VBQT showed higher eradication rates versus 14-PBQT. The adverse events rate was 19.3% for VA, 30.6% for VAC, and 38.4% for VBQT. VA had similar risk of adverse events versus VAC and significantly fewer adverse events compared to PBQT. The treatment discontinuation rate did not differ significantly between treatments. CONCLUSIONS: The eradication rate of VBQT was the highest at above 90% followed by VAC and VA. VA was as effective as VAC and superior to PPI-based therapies with favorable safety, highlighting the potential of VA therapy as a promising alternative to traditional PPI-based therapies. VPZ-based triple or quadruple therapies was more effective than PPI-based therapies. Further studies are needed to establish the optimal treatment regimen especially in the western countries.

[Prediction of Soil Bacterial Community Structure and Function in Minqin Desert-oasis Ecotone Artificial Haloxylon ammodendron Forest].

Exploring the effects of artificial Haloxylon ammodendron forest planting on the structure and function of a desert soil bacterial community provides data reference for soil micro-ecological restoration and land quality improvement in desert oasis transition zones. Illumina high-throughput sequencing technology and PICRUSt2 functional prediction analysis were used to identify and analyze the structure and function of soil bacterial communities, and the Mantel correlation test and RDA analysis were used to explain the physicochemical factors affecting the structure and function of soil bacterial communities. The results showed that:① the soil bacterial OTU number, Chao1 index, and Shannon index were significantly higher in the H. ammodendron forest than in the mobile dune soil, and the PCoA analysis and Adonis test showed significant differences in the soil bacterial community structure between H. ammodendron and mobile dune soil (P=0.001). ② A total of 34 phyla, 89 classes, 174 orders, 262 families, and 432 genera of bacteria were detected in all samples, and the phyla Proteobacteria, Actinobacteria, Cyanobacteria, and Chloroflexi accounted for 76.05% of the relative abundance of soil bacteria, which belonged to the dominant soil bacteria, among which the relative abundance of Actinobacteria in H. ammodendron forest soil was extremely significantly higher than that in mobile dune soil (P < 0.01). ③PICRUSt2 function prediction revealed that the soil bacterial community of H. ammodendron forest included six categories of primary functions and 28 categories of secondary functions, among which the metabolism of carbohydrates, metabolism of amino acids, and metabolism of cofactors and vitamins were all greater than 10% in relative abundance and were the main metabolic functions of H. ammodendron forest soil bacteria. ④ The planting of H. ammodendron forest significantly improved the nutrient content of soil organic matter and other nutrients. Soil pH, organic matter, total nitrogen, and fast-acting phosphorus were the main physicochemical factors affecting the bacterial community, with soil organic matter significantly affecting the soil bacterial community structure (P < 0.05) and metabolic function (P < 0.05). In conclusion, the artificial H. ammodendron forest helped to increase desert soil microbial diversity, increase the relative abundance of soil bacterial metabolic function genes, and improve the desert soil microenvironment.

Thermal Load Model of a Proportional Solenoid Valve Based on Random Load Conditions.

Drastic changes in the random load of an electromechanical system bring about a reliability problem for the proportional solenoid valve based on a thermal effect. In order to accurately and effectively express the thermal load of a proportional solenoid valve under random load conditions and to meet the requirements of online acquisition, adaptive anomaly detection, and the missing substitution of thermal load data, a thermal load prediction model based on the Kalman filter algorithm is proposed. Taking the compound operation process of an excavator as the object and based on the field testing of an excavator and the independent testing experiment of a proportional solenoid valve in a non-installed state, a method of obtaining historical samples of the proportional solenoid valve's power and thermal load is given. The k-means clustering algorithm is used to cluster the historical samples of the power and thermal load corresponding to the working posture of a multi-tool excavator. The Grubbs criterion is used to eliminate the outliers in the clustering samples, and unbiased estimation is performed on the clustering samples to obtain the prediction model. The results show that the cross-validation of the sample data under the specific sample characteristics of the thermal load model was carried out. Compared with other methods, the prediction accuracy of the thermal load model based on the Kalman filter is higher, the adaptability is strong, and the maximum prediction deviation percentage is stable within 5%. This study has value as a reference for random cycle thermal load analyses of low-frequency electromechanical products.

Throttling characteristics prediction methodology for combined grooves in directional spool valves under variable flow rates.

There is a contradiction between the calculation accuracy and cost when computing the pressure and flow rate. A throttling characteristics prediction methodology for directional spool valve was proposed to balance the contradiction. The throttling characteristics were represented by the flow-number, defined as the product of the flow coefficient and the orifice area, to reveal simultaneously the mapping relationships of the two versus the spool geometry, stroke and flow rate. The pressure and flow rate characteristics at different strokes were obtained through the computational fluid dynamic (CFD) simulations that were validated through bench testing. The concept of saturated flow-number theory was introduced to describe the effects of the flow rate on the flow-number. Models for the saturated flow-number and critical flow rate were established using the U-shape groove, a typical throttling structure, as an example to illustrate the effects of groove structure and opening. The throttling characteristics of the directional spool valve could be predicted by the flow-numbers of the combined grooves. The simulated and experimental results demonstrate that the prediction methodology achieves high calculation accuracy while incurring minimal costs. This methodology holds significant implications for the forward design of valve spool throttling structures.

A novel tetranuclear Cu(ii) complex for DNA-binding and in vitro anticancer activity.

A novel tetranuclear Cu(ii) complex (TNC) was successfully synthesized and characterized by X-ray single crystal diffraction. The interaction of the complex with calf thymus DNA (CT-DNA) has been studied by UV-vis absorption titration, fluorescence technology and molecular docking. The results indicated that TNC could bind to the DNA through an intercalative mode. The agarose gel electrophoresis experiment showed that TNC could cleave supercoiled plasmid DNA into linear DNA. The anticancer activity of TNC was tested on four cancer cell lines: MCF7, A549, 4T1 and HepG2. The results indicated that TNC shown significant activity against all of above cell lines.

Efficacy and safety of probiotics and synbiotics for functional constipation in children: A systematic review and meta-analysis of randomized clinical trials.

BACKGROUND & AIM: We aimed to evaluate the efficacy and safety of probiotics and synbiotics in childhood functional constipation. METHODS: PubMed, Embase, Cochrane Library, ClinicalTrials.gov, and the International Clinical Trials Registry Platform (ICTRP) were searched up to June 2023. Randomized controlled trials involving children diagnosed with FC with Rome III/IV criteria were included. Treatment success, defecation frequency, stool consistency, painful defecation, fecal incontinence, and adverse events were assessed as outcomes. Odds ratios (ORs) and standard mean difference (SMD) with 95% confidence intervals (CIs) were calculated for dichotomous and continuous variables as appropriate. Cochrane risk-of-bias tool version 2 assessed the risk of bias. RESULTS: Seventeen RCTs with 1504 patients were included. Compared to placebo, probiotics significantly improved defecation frequency (SMD 0.40, 95% CI 0.10 to 0.70, I2 = 0%) and fecal incontinence (OR 0.53, 95% CI 0.29 to 0.96, I2 = 0%). However, it did not significantly improve treatment success, painful defecation, and abdominal pain. Probiotics, as add-on therapy, failed to yield a significant difference in treatment success (OR 0.82, 95% CI 0.15 to 4.48, I2 = 52%), defecation frequency (SMD 0.13, 95% CI -0.13 to 0.39, I2 = 0%), defecation consistency (SMD -0.01, 95% CI -0.40 to 0.38, I2 = 1%), fecal incontinence (OR 0.95, 95% CI 0.48 to 1.90, I2 = 0%), and abdominal pain (OR, 0.60, 95% CI 0.24 to 1.53, I2 = 0%) versus laxatives monotherapy. Synbiotics plus laxatives showed no significant effect on defecation frequency (SMD -0.57; 95% CI -1.29 to 0.14, I2 = 74%) and painful defecation (OR, 3.39; 95% CI 0.74 to 15.55, I2 = 0%) versus laxatives alone. CONCLUSIONS: Current evidence did not advocate using probiotics and synbiotics in treating functional constipation in children. At this time, the effects of strain-specific probiotics, probiotics mixtures, and the optimal doses and treatment durations of the probiotics and synbiotics were unclear. Additional rigorous evidence is required to evaluate and establish the effectiveness and safety of probiotics and synbiotics for childhood functional constipation. PROSPERO ID: CRD42020195869.

Responses of bitter melon saponins to oxidative stress and aging via the IIS pathway linked with sir-2.1 and hlh-30.

Saponins from bitter melon (BMS) exert potential bioactivities and pharmacological activities, including anti-oxidation and lifespan extension. However, the exact mechanisms of BMS in response to oxidative stress remain unknown. Results demonstrated that bitter melon saponins could strengthen locomotive activities (body bend and head thrashing) accompanied by delaying the muscle fiber damage with age in Caenorhabditis elegans. In addition, BMS inhibited the ROS accumulation, improved the activities of antioxidant enzymes like SOD (by 57.90% and 94.34% for 100 µg/ml and 200 µg/ml BMS, respectively) and CAT (by 51.45% and 56.91% for 100 µg/ml and 200 µg/ml BMS, respectively), and extend the lifespan of N2 and CL2006 worms under paraquat-induced oxidative stress. Mechanism study suggested that BMS modulated the mRNA expressions of oxidation-related regulators, like the upregulation of cat-1, hsf-1, sir-2.1, and hlh-30. Furthermore, gene-deficient mutants verified that IIS (insulin/insulin-like growth factor-1 signaling) pathway linked with sir-2.1 and hlh-30 factors were involved in the BMS's lifespan-extension effects under oxidative stress. In general, this study supplemented the explanation of BMS in promoting oxidation-resistance and lifespan-extension activities, which could be served as a potential candidate for anti-aging. PRACTICAL APPLICATIONS: Our previous studies have suggested that saponins from bitter melon exhibited fat-lowering activity in C. elegans. However, little was known about the mechanism underlying the anti-oxidation effects of BMS in C. elegans. Current results indicated that the IIS pathway linked with sir-2.1 and hlh-30 transcriptional factors jointly to increase the lifespan in BMS' responses to oxidative stress. Our findings are beneficial to understand the main nutritional ingredients in bitter melon, which are ideal and expected in functional foods for aging.

Non-iterative phase hologram generation with adaptive weighted constraints for color holographic display.

To provide better reconstruction quality, it takes more time for iterative algorithms, especially when multiple holograms need to be computed. A non-iterative method for calculating a phase hologram with adaptive weighted constraints is proposed, which iteratively calculates the optimized phase with a rectangular aperture as the amplitude and multiplies the initial quadratic phase as the initial complex amplitude. Subtraction feedback is introduced to improve the visual effect and avoid the overcompensation problem of division feedback. The proposed method is suitable for generating non-iterative phase holograms with different sizes, and it can further be applied to the calculation of color holograms. It improves computational speed under the premise of ensuring reconstruction quality and can adapt to the needs of different systems with different sizes or different location requirements for holographic reconstruction. Optical experiments also demonstrate the effectiveness of this method.

Nanoemulsion-Assisted siRNA Delivery to Modulate the Nervous Tumor Microenvironment in the Treatment of Pancreatic Cancer.

Pancreatic cancer (PC) is a fatal human cancer, whose progression is highly dependent on the nervous tumor microenvironment. In the present study, cationic perfluorocarbon nanoemulsions were employed as an intraperitoneal delivery platform to facilitate the delivery and penetration of a therapeutic small interfering RNA (siRNA) to orthotopic pancreatic tumors. The nanoemulsion was used to silence the expression of the nerve growth factor (NGF) as a way of favorably modulating the tumor-neuronal interactions in pancreatic tumors. The nanoemulsions exhibited deep tumor penetration that was dependent on exocytosis and enhanced NGF gene silencing in vitro and in vivo when compared with control polycation/siRNA polyplexes, leading to the effective and safe suppression of tumor growth in orthotopic PC. Overall, emulsion-assisted delivery of NGF siRNA is a promising treatment approach for PC by targeting the interactions between the tumor cells and the nervous microenvironment.

QSSR Modeling of Bacillus Subtilis Lipase A Peptide Collision Cross-Sections in Ion Mobility Spectrometry: Local Descriptor Versus Global Descriptor.

To investigate the structure-dependent peptide mobility behavior in ion mobility spectrometry (IMS), quantitative structure-spectrum relationship (QSSR) is systematically modeled and predicted for the collision cross section Ω values of totally 162 single-protonated tripeptide fragments extracted from the Bacillus subtilis lipase A. Two different types of structure characterization methods, namely, local and global descriptor as well as three machine learning methods, namely, partial least squares (PLS), support vector machine (SVM) and Gaussian process (GP), are employed to parameterize and correlate the structures and Ω values of these peptide samples. In this procedure, the local descriptor is derived from the principal component analysis (PCA) of 516 physicochemical properties for 20 standard amino acids, which can be used to sequentially characterize the three amino acid residues composing a tripeptide. The global descriptor is calculated using CODESSA method, which can generate > 200 statistically significant variables to characterize the whole molecular structure of a tripeptide. The obtained QSSR models are evaluated rigorously via tenfold cross-validation and Monte Carlo cross-validation (MCCV). A comprehensive comparison is performed on the resulting statistics arising from the systematic combination of different descriptor types and machine learning methods. It is revealed that the local descriptor-based QSSR models have a better fitting ability and predictive power, but worse interpretability, than those based on the global descriptor. In addition, since the QSSR modeling using local descriptor does not consider the three-dimensional conformation of tripeptide samples, the method would be largely efficient as compared to the global descriptor.

Double Enzyme-Catalyzed One-Pot Synthesis of Enantiocomplementary Vicinal Fluoro Alcohols.

A double-enzyme-catalyzed strategy for the synthesis of enantiocomplementary vicinal fluoro alcohols through a one-pot, three-step process including lipase-catalyzed hydrolysis, spontaneous decarboxylative fluorination, and subsequent ketoreductase-catalyzed reduction was developed. With this approach, ß-ketonic esters were converted to the corresponding vicinal fluoro alcohols with high isolated yields (up to 92%) and stereoselectivities (up to 99%). This new cascade process addresses some issues in comparison with traditional methods such as environmentally hazardous reaction conditions and low stereoselectivity outcome.

Thermosensitive Chitosan Hydrogels Containing Polymeric Microspheres for Vaginal Drug Delivery.

Thermosensitive hydrogels have increasingly received considerable attention for local drug delivery based on many advantages. However, burst release of drugs is becoming a critical challenge when the hydrogels are employed. Microspheres- (MS-) loaded thermosensitive hydrogels were thus fabricated to address this limitation. Employing an orthogonal design, the spray-dried operations of tenofovir (TFV)/Bletilla striata polysaccharide (BSP)/chitosan (CTS) MS were optimized according to the drug loading (DL). The physicochemical properties of the optimal MS (MS F) were characterized. Depending on the gelation temperature and gelating time, the optimal CTS-sodium alginate- (SA-) α,ß-glycerophosphate (GP) (CTS-SA-GP) hydrogel was obtained. Observed by scanning electron microscope (SEM), TFV/BSP/CTS MS were successfully encapsulated in CTS-SA-GP. In vitro releasing demonstrated that MS F-CTS-SA-GP retained desirable in vitro sustained-release characteristics as a vaginal delivery system. Bioadhesion measurement showed that MS-CTS-SA-GP exhibited the highest mucoadhesive strength. Collectively, MS-CTS-SA-GP holds great promise for topical applications as a sustained-release vaginal drug delivery system.

Lithium Suppresses Hedgehog Signaling via Promoting ITCH E3 Ligase Activity and Gli1-SUFU Interaction in PDA Cells.

Dysregulation of Hedgehog (Hh) signaling pathway is one of the hallmarks of pancreatic ductal adenocarcinoma (PDA). Lithium, a clinical mood stabilizer for the treatment of mental disorders, is known to suppress tumorigenic potential of PDA cells by targeting the Hh/Gli signaling pathway. In this study, we investigated the molecular mechanism of lithium induced down-regulation of Hh/Gli1. Our data show that lithium promotes the poly-ubiquitination and proteasome-mediated degradation of Gli1 through activating E3 ligase ITCH. Additionally, lithium enhances interaction between Gli1 and SUFU via suppressing GSK3ß, which phosphorylates SUFU and destabilizes the SUFU-Gli1 inhibitory complex. Our studies illustrate a novel mechanism by which lithium suppresses Hh signaling via simultaneously promoting ITCH-dependent Gli1 ubiquitination/degradation and SUFU-mediated Gli1 inhibition.

[Quantitive Analysis of Contents in Yogurt and Application Research with FTIR Spectroscopy].

Yogurt is a food produced by bacterial fermentation of milk. All kinds of nutrition components are changing dramatically in the process of fermentation. Therefore, it is important to establish a fast and efficient measurement technology of yogurt nutrition, which is also an important goal for food safety supervision in terms of monitoring the yogurt production process in real time. Fourier transform infrared spectroscopy (FTIR) has been widely used in the field of food safety, for it has high efficiency, high throughput, no chemical pollution, thus it can be used in the inspection of food adulteration. Our study has established a quantitative model to predict the nutrition components in yogurt, such as energy value, protein, fat, carbohydrates and sodium content. Based on the least squares (PLS) method, the model used CaF(2) film FTIR technology. The results show that the new model can be used in quality control of yogurt production process: The R(2) values of the model were 0.938 9, 0.926 6, 0.918 6, 0.941 8 and 0.977 1, comparing energetic value, protein, fat, carbohydrate and sodium contents with the original spectrum of calibration samples by cross validation. And the predictive R(2) are 0.920 5, 0.905 3, 0.908 5, 0.939 3 and 0.936 4 respectively. Thus, the model has good prediction accuracy and reliability, which provides a feasible method for the rapid measurement of yogurt quality. As a preliminary exploration of the quality control technology of dairy products, this method has a good prospect of application.

DeID - a data sharing tool for neuroimaging studies.

Funding institutions and researchers increasingly expect that data will be shared to increase scientific integrity and provide other scientists with the opportunity to use the data with novel methods that may advance understanding in a particular field of study. In practice, sharing human subject data can be complicated because data must be de-identified prior to sharing. Moreover, integrating varied data types collected in a study can be challenging and time consuming. For example, sharing data from structural imaging studies of a complex disorder requires the integration of imaging, demographic and/or behavioral data in a way that no subject identifiers are included in the de-identified dataset and with new subject labels or identification values that cannot be tracked back to the original ones. We have developed a Java program that users can use to remove identifying information in neuroimaging datasets, while still maintaining the association among different data types from the same subject for further studies. This software provides a series of user interaction wizards to allow users to select data variables to be de-identified, implements functions for auditing and validation of de-identified data, and enables the user to share the de-identified data in a single compressed package through various communication protocols, such as FTPS and SFTP. DeID runs with Windows, Linux, and Mac operating systems and its open architecture allows it to be easily adapted to support a broader array of data types, with the goal of facilitating data sharing. DeID can be obtained at http://www.nitrc.org/projects/deid.