Inhibitory Effects of Compounds from Plumula nelumbinis on Biofilm and Quorum Sensing Against P. aeruginosa.

Quorum sensing (QS), which controls the survival and virulence of Pseudomonas aeruginosa, including the formation of biofilm, is considered to be a new target to overcome pathogens. The aim of this study was to identify new QS inhibitors against P. aeruginosa and provide potential treatments for clinical infections. In this study, 25 compounds were isolated from Plumula nelumbini. Among these compounds, C25 showed the most significant biofilm inhibition activity, reaching 44.63% at 100 µM without inhibiting bacterial growth. Furthermore, C25 showed significant inhibition activity of rhamnolipid, pyocyanin, and elastase. Further mechanistic studies have confirmed that C25 could downregulate key genes in the QS system, including lasI, lasR, lasA, lasB, and pqsR, and Molecular docking studies have shown that C25 can bind to the active sites of the LasR and PqsR receptors. The present study suggests that C25 is a promising QS inhibitor for treating P. aeruginosa infections.

Estimating the threshold interactions between income inequality and carbon emissions.

This paper aims to examine the worldwide interactions between income inequality and carbon emissions, and the nonlinear threshold roles of globalization, income inequality and economic growth. To fulfill this task, we propose a dynamic panel threshold model with cross-sectional dependence, based on a balance panel data of 92 countries over the period 1991-2015. The results suggest the presence of nonlinear effects of threshold variables, which have asymmetric impacts on the negative relationships between income inequality and carbon emissions. Further, we find that the promotion of globalization significantly contributes to reduce the effect of income unfairness improvement on the increase of carbon emissions, and this similar effect could also be achieved through shrinking income inequality per se and spurring economic growth. We therefore suggest the stakeholders keep working on pushing the reinforced trend of globalization when weighting the trade-offs between income inequality alleviation and carbon emission mitigation.

Physiological clearance of tau in the periphery and its therapeutic potential for tauopathies.

Accumulation of pathological tau is the hallmark of Alzheimer's disease and other tauopathies and is closely correlated with cognitive decline. Clearance of pathological tau from the brain is a major therapeutic strategy for tauopathies. The physiological capacity of the periphery to clear brain-derived tau and its therapeutic potential remain largely unknown. Here, we found that cisterna magna injected 131I-labelled synthetic tau dynamically effluxed from the brain and was mainly cleared from the kidney, blood, and liver in mice; we also found that plasma tau levels in inferior vena cava were lower than those in femoral artery in humans. These findings suggest that tau proteins can efflux out of the brain and be cleared in the periphery under physiological conditions. Next, we showed that lowering blood tau levels via peritoneal dialysis could reduce interstitial fluid (ISF) tau levels in the brain, and tau levels in the blood and ISF were dynamically correlated; furthermore, tau efflux from the brain was accelerated after the addition of another set of peripheral system in a parabiosis model. Finally, we established parabiosis mouse models using tau transgenic mice and their wild-type littermates and found that brain tau levels and related pathologies in parabiotic transgenic mice were significantly reduced after parabiosis, suggesting that chronic enhancement of peripheral tau clearance alleviates pathological tau accumulation and neurodegeneration in the brain. Our study provides the first evidence of physiological clearance of brain-derived pathological tau in the periphery, suggesting that enhancing peripheral tau clearance is a potential therapeutic strategy for tauopathies.

Peritoneal dialysis reduces amyloid-beta plasma levels in humans and attenuates Alzheimer-associated phenotypes in an APP/PS1 mouse model.

Clearance of amyloid-beta (Aß) from the brain is an important therapeutic strategy for Alzheimer's disease (AD). Current studies mainly focus on the central approach of Aß clearance by introducing therapeutic agents into the brain. In a previous study, we found that peripheral tissues and organs play important roles in clearing brain-derived Aß, suggesting that the peripheral approach of removing Aß from the blood may also be effective for AD therapy. Here, we investigated whether peritoneal dialysis, a clinically available therapeutic method for chronic kidney disease (CKD), reduces brain Aß burden and attenuates AD-type pathologies and cognitive impairments. Thirty patients with newly diagnosed CKD were enrolled. The plasma Aß concentrations of the patients were measured before and after peritoneal dialysis. APP/PS1 mice were subjected to peritoneal dialysis once a day for 1 month from 6 months of age (prevention study) or 9 months of age (treatment study). The Aß in the interstitial fluid (ISF) was collected using microdialysis. Behavioural performance, long-term potentiation (LTP), Aß burden and other AD-type pathologies were measured after 1 month of peritoneal dialysis. Peritoneal dialysis significantly reduced plasma Aß levels in both CKD patients and APP/PS1 mice. Aß levels in the brain ISF of APP/PS1 mice immediately decreased after reduction of Aß in the blood during peritoneal dialysis. In both prevention and treatment studies, peritoneal dialysis substantially reduced Aß deposition, attenuated other AD-type pathologies, including Tau hyperphosphorylation, glial activation, neuroinflammation, neuronal loss, and synaptic dysfunction, and rescued the behavioural deficits of APPswe/PS1 mice. Importantly, the Aß phagocytosis function of microglia was enhanced in APP/PS1 mice after peritoneal dialysis. Our study suggests that peritoneal dialysis is a promising therapeutic method for AD, and Aß clearance using a peripheral approach could be a desirable therapeutic strategy for AD.

IFNa of black carp is an antiviral cytokine modified with N-linked glycosylation.

Type I interferons (IFNs) play an important role in the antiviral immune response in teleost fish. In this study, one type I interferon (bcIFNa) of black carp (Mylopharyngodon piceus) has been cloned and characterized. The full-length cDNA of bcIFNa gene consists of 783 nucleotides and the predicted bcIFNa protein contains 185 amino acids. Semi-quantitative RT-PCR analysis demonstrated that bcIFNa mRNA transcription level in all the selected tissues of black carp was greatly increased at 33 h post spring viremia of carp virus (SVCV) infection. The protein of bcIFNa could be detected in both the whole cell lysate and the supernatant media of HEK293T cells transfected with plasmids expressing bcIFNa through immunoblot assay. EPC cells showed greatly increased antiviral ability when the cells were treated with the bcIFNa-containing conditioned media for 24 h before SVCV infection. Mass spectrum assay and glycosidase digestion analysis determined that bcIFNa is modified with N-linked glycosylation, which occurs on the Asn (N) of 38 site of this cytokine. The un-glycosylated mutant bcIFNa-N38Q could be secreted out of the cell and showed the similar antiviral ability against SVCV as that of wild type bcIFNa, which suggested that N-linked glycosylation does not contribute directly to the antiviral property of this fish cytokine.

Cold threat and moisture deficit induced individual tree mortality via 25-year monitoring in seminatural mixed forests, northeastern China.

Accurately predicting tree mortality in mixed forests sets a challenge for conventional models because of large uncertainty, especially under changing climate. Machine learning algorithms had potential for predicting individual tree mortality with higher accuracy via filtering the relevant climatic and environmental factors. In this study, the sensitivity of individual tree mortality to regional climate was validated by modeling in seminatural mixed coniferous forests based on 25-year observations in northeast of China. Three advanced machine learning and deep learning algorithms were employed, including support vector machines, multi-layer perceptron, and random forests. Mortality was predicted by the effects of multiple inherent and environmental factors, including tree size and growth, topography, competition, stand structure and regional climate. All three types of models performed satisfactorily with their values of the areas under receiving operating characteristic curve (AUC) > 0.9. With tree growth, competition and regional climate as input variables, a model based on random forests showed the highest values of the explained variance score (0.862) and AUC (0.914). Since the trees were vulnerable despite their species, mortality could occur after growth limit induced by insufficient or excessive sun radiation during growing seasons, cold threat caused thermal insufficiency in winters, and annual moisture constraints in these mixed coniferous forests. Our findings could enrich basic knowledge on individual tree mortality caused by water and heat inadequacy with the negative impacts of global warming. Successful individual tree mortality modeling via advanced algorithms in mixed forests could assist in adaptive forest ecology modeling in large areas.

Assembled collagen films modified using polyacrylic acid with improved mechanical properties via mineralization.

The imperative task of enforcing collagen materials holds paramount significance in the field of hard tissue repair. We hereby present mineralized collagen fiber films via mineralization with improved mechanical properties. Self-extracted collagen was assembled into an array with an aligned fibrous pattern and then modified with polyacrylic acid (PAA) followed by mineralization in cationic polyacrylamide (CPAM)-SBF. Biomineralization occurred at the inner and outer surface of the assembled collagen fiber films. A tensile strength of up to 40.38 ± 3.08 MPa of mineralized collagen was obtained, for the first time, which may be attributed to the synergistic effect of polyanion and polycation on the mineralization process of assembled intrafibrillar collagen fibers. It was argued that PAA may facilitate the intra-fiber interaction of collagen, which extends the elongation at break of collagen fibers. This study introduces a pioneering approach for the preparation of mineralized collagen materials with superior mechanical properties, which would be beneficial for hard tissue repair.

Derivation and application of a parameter for denitrification rates in the Taihu Lake model based on an isotope-labeled denitrification experiment.

In recent years, the total nitrogen concentration in Taihu Lake has decreased significantly. Denitrification, as the main nitrogen removal process, is the key reason for the decrease. Here, the denitrification parameter values in the Environmental Fluid Dynamic Code (EFDC) model were calculated based on isotope-labeled denitrification experiment instead of selecting the recommended values directly. This study further focused on EFDC denitrification parameter derivation with an experimental denitrification rate (Dtot) to reduce simulation errors. According to the EFDC nitrate deposition flux mechanism, the conversion equation between the denitrification rate of the first sediment layer ([Formula: see text]) in EFDC and Dtot was successfully derived. The results revealed a linear correlation between [Formula: see text] and (Dtot)1/2. The [Formula: see text] values of sampling points ranged from 0.25 to 0.27 m·day-1, within the range of model parameters. After substituting [Formula: see text] into the Taihu Lake EFDC model, the average percentage bias and determination coefficient of total nitrogen were 16.25% and 0.87, respectively. The average total nitrogen concentration reduction caused by denitrification at water quality calibration points ranged from 0.027 to 0.305 mg·L-1.

Human collagen sequence polypeptides mediated biomineralization and its molecular mechanism.

Biotechnology provides alternatives for regenerative medicine with more controllable functions. Herein, the polypeptides encoded with human collagen I amino-acid sequences were studied for the first time to modulate biomimetic hydroxyapatite (HAP). With a length of 50-100 nm and a width of 20-30 nm, the HAP crystal formed was plate-like. The interaction of the human collagen sequence polypeptide on the (001), (100), and (211) crystal faces of HAP crystal had been studied using Molecular Dynamics (MD) simulations, respectively. Based on MD simulations, van der Waals forces and hydrogen bonds are the main interactions between polypeptides and HAP through the -NH2, -CH2-, -OH, and -COOH, respectively. According to the calculated results, der Waals forces might be the main interaction. The human collagen sequence polypeptides exhibited the highest adsorption energy on the (001) plane of HAP, significantly higher than any of the adsorption energy on the (100) and (211) planes. Therefore, the growth of the (001) would be inhibited, which kept accurate with the result of images from the Transmission Electron Microscope (TEM). Study results provide a basis for rational designing of peptides with human collagen sequences to regenerate hard tissues.

Trends and hotspots in acupuncture treatment of rat models of stroke: a bibliometric analysis from 2004 to 2023.

Background: Acupuncture is a widely used clinical treatment method, and studies have confirmed its therapeutic effects on stroke patients. It can also reduce the burden on patients and society. Acupuncture treatment is a complementary and preventive treatment for stroke. However, there has yet to be a visual bibliometric analysis of the field of acupuncture for stroke rat models. This study explores future trends, research hotspots, and frontiers in acupuncture for stroke rat models over the past 20 years through investigation and visualization. Methods: We collected literature data on acupuncture treatment of stroke in rats from the Web of Science Core Collection (WOSCC) database from January 1, 2004, to December 31, 2023. Import into CiteSpace (version 6.2.R4) and RStudio for analysis by author, country/region, affiliation, annual publication, keywords, and journal visualization. Results: A total of 379 articles were retrieved, including articles from 16 countries, 258 research institutions, and 123 academic journals. The countries and institutions with the most publications were the People's Republic of China (338) and the Fujian University of Traditional Chinese Medicine (43). Tao, Jing had the highest number of co-citations (144). The keywords and co-citation clustering show the main research directions in the field, including "artery occlusion," "neural regeneration," "stimulation," "rapid tolerance," "receptor," "signaling pathway," "apoptosis," "oxidative stress," "inflammatory response," "endogenous neurogenesis," "tolerance of local cerebral ischemic tissues," "proliferation of reactive astrocytes" and "neuroprotective effect." The intervention combines classical acupuncture treatment and modern technology (electricity) with electroacupuncture as a new intervention modality. Conclusion: This study demonstrates the increasing research on acupuncture for treating stroke in rat models. The country/region with the most publications is the People's Republic of China. However, international cooperation still needs to be improved, and future researchers must strengthen international cooperation. In addition, in future studies, researchers should improve the overall quality of research results in this area and enhance research protocols.

Intelligent diagnosis of Kawasaki disease from real-world data using interpretable machine learning models.

OBJECTIVE: This study aimed to leverage real-world electronic medical record data to develop interpretable machine learning models for diagnosis of Kawasaki disease while also exploring and prioritizing the significant risk factors. METHODS: A comprehensive study was conducted on 4087 pediatric patients at the Children's Hospital of Chongqing, China. The study collected demographic data, physical examination results, and laboratory findings. Statistical analyses were performed using IBM SPSS Statistics, Version 26.0. The optimal feature subset was used to develop intelligent diagnostic prediction models based on the Light Gradient Boosting Machine, Explainable Boosting Machine (EBM), Gradient Boosting Classifier (GBC), Fast Interpretable Greedy-Tree Sums, Decision Tree, AdaBoost Classifier, and Logistic Regression. Model performance was evaluated in three dimensions: discriminative ability via receiver operating characteristic curves, calibration accuracy using calibration curves, and interpretability through SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-Agnostic Explanations). RESULTS: In this study, Kawasaki disease was diagnosed in 2971 participants. Analysis was conducted on 31 indicators, including red blood cell distribution width and erythrocyte sedimentation rate. The EBM model demonstrated superior performance relative to other models, with an area under the curve of 0.97, second only to the GBC model. Furthermore, the EBM model exhibited the highest calibration accuracy and maintained its interpretability without relying on external analytical tools such as SHAP and LIME, thus reducing interpretation biases. Platelet distribution width, total protein, and erythrocyte sedimentation rate were identified by the model as significant predictors for the diagnosis of Kawasaki disease. CONCLUSION: This study used diverse machine learning models for early diagnosis of Kawasaki disease. The findings demonstrated that interpretable models such as EBM outperformed traditional machine learning models in terms of both interpretability and performance. Ensuring consistency between predictive models and clinical evidence is crucial for the successful integration of artificial intelligence into real-world clinical practice.

Arrhenius equation construction and nitrate source identification of denitrification at the Lake Taihu sediment - water interface with 15 N isotope.

Total nitrogen in Taihu Lake, China has gradually decreased since 2015 while the total phosphorus concentration has exhibited an increasing trend, indicating an asynchronous change. The dominant nitrogen removal process in freshwater ecosystems is denitrification which primarily occurs at the sediment-water interface. In this study, 15 N isotope incubation experiments were attempted to analyze the effect of water temperature on denitrification, to construct the regional denitrification Arrhenius equations considering water temperature, and to identify the nitrate source of denitrification in Lake Taihu sediments. The results indicated that the potential N2 production rates and denitrification rates generally decreased in the west to east direction, which was significantly positively correlated with the nitrate concentration of overlying water by Pearson correlation coefficient analysis (P < 0.05). In addition, when the water temperature was lower than 30 °C, the rates of the potential N2 production and denitrification were higher with an increase in water temperature, but when the water temperature was overhigh, denitrification was inhibited. The ratio of the total denitrification rate of nitrate from the water column in the sediment to the total denitrification rate during the incubation experiment was above 0.5 at each sampling site. This indicated that the denitrification in the Lake Taihu sediment primarily occurred at the expense of nitrate from the water column. The research results of Arrhenius equation construction and nitrate source identification of denitization can be applied to improve the accuracy of water quality model of Taihu Lake, which is of great significance to improve Taihu Lake water quality, and can act as a reference for the water environment treatment of other shallow eutrophic lakes in China and abroad.

In situ cyclodextrin metal-organic framework/electrospun composite fibers with biosafety for the removal of volatile organic compounds.

Volatile organic compounds (VOCs) are one of the most common air pollutants, which threaten human health seriously. Fibrous textile is one of the most popular matrices for VOC removal in daily life. In this study, biosafe cyclodextrin metal-organic framework/polycaprolactone (CD-MOF/PCL) electrospun fibers were prepared via a CD precursor doping method, followed by hydrothermal treatment in methanol vapor diffusion. In situ CD-MOF crystals with a high loading of more than 50 wt% densely covered the surface of the electrospun fibers. The CD-MOF/PCL composite fibers show similar stress-strain behavior to the electrospun PCL fibers. The analysis of the fractured zone indicated that the compatibility of CD-MOF/PCL fibers was excellent, and CD-MOF showed no obvious peeling-off, even at low temperatures. The hemolysis rate of less than 1% confirms the biosafety of the composite materials. Further, the CD-MOF crystals anchored onto the fibers promote their VOC uptakes significantly. The CD-MOF/PCL fibrous matrix, which demonstrated compatibility, excellent strength, and biosafety would be beneficial to develop novel equipment to purify air pollution.

Regulation of recombinant humanized collagen on HAP growth and its molecule simulation.

Hydroxyapatite (HAP) in natural bone is formed under the regulation of natural collagen I. Here, we report how recombinant humanized collagen I (rhCol I) regulates the growth of HAP nanocrystals in a long belt shape 100-150 nm in width and 200-300 nm in length. MD simulation results showed that the interactions between rhCol I and the (001), (100), and (211) planes of HAP mainly contributed to the electrostatic force and van der Waals forces via COO⋯Ca, -NH⋯Ca, CH⋯OPO3, and NH⋯OPO3 bonds, respectively. On the (001) plane, the interaction between -COO- and Ca was stronger than on the (100) and (211) planes, resulting in a large electrostatic force, which inhibited the growth of the (001) plane. The lowest energy of adsorption to the (211) plane resulted in the preferential growth of the (211) plane due to the weakest interaction with rhCol I. The detailed correlation between HAP and rhCol I could explain HAP growth under regulation by rhCol I. This study provides a reference for the bio-application of recombinant collagen.

"Lifting Yang to Dredging Du Meridian Manipulation" acupuncture alleviates cerebral ischemia-reperfusion injury by mediating the NF-κB pathway.

BACKGROUND: Ischemic stroke is a permanent neurological impairment resulting from the narrowing or blockage of blood vessels in the brain. The effectiveness of "Lifting Yang to Dredging Du Meridian Manipulation" (LYDD) acupuncture in clinical treatment of ischemic stroke patients has been well-established. Nevertheless, its mechanism is still uncertain. METHODS: MCAO/R rat models at different time points of reperfusion (24, 36, 48 and 72 h) were constructed, and LYDD acupuncture treatment was performed. Zea-Longa score and TTC staining were used for assessing neurological impairment and cerebral infarct in rats, respectively. The pathological changes of cerebral tissue in each group were observed by HE and Nissl's staining. Cerebral tissue from each group was subjected to RNA-seq, and differentially expressed genes (DEGs) were performed for GO and KEGG enrichment analysis, and hub gene was identified based on the String database and MCODE algorithm. RESULTS: LYDD acupuncture treatment significantly reduced Zea-Longa score, dry-wet weight ratio, infarct area, inflammatory factor levels (IL-1ß and TNF-α), cerebral lesions, number of Nissl body and neuronal apoptosis in the MCAO/R model at different time points of reperfusion. A total of 3518 DEGs were identified in the MCAO/R model compared to the control group, and 3461 DEGs were present in the treatment group compared to the MCAO/R model, and they may be implicated in neurotransmitter transmission, synaptic membrane potential, cell junctions, inflammatory response, immune response, cell cycle, and ECM. The expression trends of BIRC3, LTBR, PLCG2, TLR4 and TRADD mRNAs in the Hub gene were consistent with the RNA-seq results, and LYDD acupuncture treatment significantly inhibited MCAO/R-induced p65 nuclear translocation. CONCLUSIONS: LYDD acupuncture ameliorates cerebral ischemia-reperfusion injury by inhibiting NF-κB pathway activity.

Photo-thermo catalytic selective oxidation of cyclohexane by In-situ prepared nonstoichiometric Molybdenum oxide and Silver-palladium alloy composite.

The highly selective oxidation of cyclohexane to cyclohexanone and cyclohexanol (KA oil) is one of the most challenging issues in the chemical industry. However, the difficulty in attaining high selectivity and high conversion rate in parallel for the existing catalysts limits its practical application. In this paper, a novel photo-thermo synergistic catalyst was reported for the aerobic oxidation of cyclohexane. The uniform blue MoO3-x nanowires with small diameter stabilized by polyvinyl pyrrolidone (PVP) were synthesized by a hydrothermal method, and a series of MoO3-x-AgPd composite materials of different proportions were prepared by an in-situ reduction process. The morphology, crystalline structure, surface chemical bonding, photoelectrochemical properties of MoO3-x-AgPd composites are thoroughly characterized. The MoO3-x-AgPd composites present significantly increased catalytic performance than MoO3-x nanowires in the photo-thermo synergistic catalytic oxidation of cyclohexane under dry air. The high conversion rate of 11.3% with the KA oil selectivity of 99.0% was achieved by the MoO3-x-Ag20Pd20 composites under photo-thermo catalytic process at 120 ℃, which is 1.5 times of that by MoO3-x nanowires. Under photo-thermo catalytic process, a high cyclohexane conversion rate similar to that of higher temperature thermal catalysis can be obtained at lower reaction temperature, and more cyclohexanol can be produced with a ketone to alcohol (K/A) ratio of 0.254. The significantly enhanced catalytic activity can be attributed to the effective charge transfer in the AgPd alloy nanoparticles, the optimized band gap structure, the suppressed charge recombination, and the promoted photo-thermo synergetic catalytic effect. This work provides a new reference scheme for the design and preparation of high-efficiency photo-thermo catalysts for the selective oxidation of cyclohexane.

A prognostic pyroptosis-related LncRNA classifier associated with the immune landscape and therapy efficacy in glioma.

Background: Glioma has the highest fatality rate among intracranial tumours. Besides, the heterogeneity of gliomas leads to different therapeutic effects even with the same treatment. Developing a new signature for glioma to achieve the concept of "personalised medicine" remains a significant challenge. Method: The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) were searched to acquire information on glioma patients. Initially, correlation and univariate Cox regression analyses were performed to screen for prognostic pyroptosis-related long noncoding RNAs (PRLs). Secondly, 11 PRLs were selected to construct the classifier using certain algorithms. The efficacy of the classifier was then detected by the "timeROC" package for both the training and validation datasets. CIBERSORT and ESTIMATE packages were applied for comparing the differences (variations) in the immune landscape between the high- and low-risk groups. Finally, the therapeutic efficacy of the chemotherapy, radiotherapy, and immunotherapy were assessed using the "oncoPredict" package, survival analysis, and the tumour immune dysfunction and exclusion (TIDE) score, respectively. Results: A classifier comprising 11 PRLs was constructed. The PRL classifier exhibits a more robust prediction capacity for the survival outcomes in patients with gliomas than the clinical characteristics irrespective of the dataset (training or validation dataset). Moreover, it was found that the tumour landscape between the low- and high-risk groups was significantly different. A high-risk score was linked to a more immunosuppressive tumour microenvironment. According to the outcome prediction and analysis of the chemotherapy, patients with different scores showed different responses to various chemotherapeutic drugs and immunotherapy. Meanwhile, the patient with glioma of WHO grade Ⅳ or aged >50 years in the high risk group had better survival following radiotherapy. Conclusion: We constructed a PRL classifier to roughly predict the outcome of patients with gliomas. Furthermore, the PRL classifier was linked to the immune landscape of glioma and may guide clinical treatments.

Manganese phosphorous trifulfide nanosheets and nitrogen doped carbon dot composites with manganese vacancies for a greatly enhanced hydrogen evolution.

As a novel chalcogenide photocatalyst, MnPS3 suffered from limited visible light absorption, high photogenerated electron-hole recombination, and low hole oxidation capability due to its high valence band (VB) potential. In this work, the novel MnPS3 nanosheets-Nitrogen-doped carbon dots (NCDs) composites were fabricated by immobilizing NCDs with terminal amine groups on Na+ intercalated MnPS3 nanosheets for a greatly enhanced photocatalytic hydrogen production activity. MnPS3 nanosheets of 400 nm with Mn2+ vacancies are produced in high yield by NaCl intercalation and subsequent exfoliation in N-methylpyrrolidone (NMP). NCDs with 5 nm are evenly loaded on the surface of MnPS3 nanosheets of 400 nm via strong chemical interactions of ammonium sulfate salts formed at the interface. The MnPS3-NCDs composites exhibit enhanced light absorption at 500-600 nm, reduced charge recombination and notably promoted photocatalytic activity in relative to neat MnPS3 nanosheets. MnPS3-NCDs composite with the NCDs content of 16.5% possessed the highest photocatalytic hydrogen evolution rate of 339.63 µmol·g-1·h-1 with good cycling stability, which is 9.17 times that of exfoliated MnPS3 nanosheets. The type-II MnPS3-NCDs heterojunction is conducive to the efficient interfacial carrier transport and the significantly improved photocatalytic hydrogen generation activity. Our work confirmed that the non-toxic MnPS3 could possess photocatalytic performance comparable to CdS, which will be promising to become an attractive visible-light driven photocatalyst in environmental purification and energy applications.

Efficacy and safety of electric acupuncture in treatment of intractable facial paralysis: A protocol for systematic review and meta-analysis.

BACKGROUND: Facial paralysis is a common clinical disease, it was named intractable facial paralysis when the clinical course more than 2 months. Intractable facial paralysis will produce anxiety and depression, which will seriously affect patients' life and work. Electric acupuncture has been widely used in the treatment of intractable facial paralysis. However, the results of clinical studies on the efficacy and safety have been inconsistent. This study aims to evaluate the efficacy and safety of electric acupuncture for intractable facial paralysis patients by systematic review and meta-analysis, so as to provide clinical decision-making based on evidence-based medicine. METHODS: The following databases will be searched by electronic methods: PubMed, Embase, Cochrane Library, Chinese National Knowledge Infrastructure, VIP Database, Wan-fang Data and Chinese Biomedical Database. All of them will be retrieved from the establishment date of the electronic database to March 2022, all included studies will be evaluated risk of bias by the Cochrane Handbook. The total effective rate will be the primary outcome. The systematic review will be conducted with the use of the RevMan5.3 software in this study. RESULTS: This study will obtain efficacy and safety of electric acupuncture for the treatment of intractable facial paralysis. DISCUSSION: This study will provide clinical decision-making based on evidence-based medicine that whether electric acupuncture could be used to treat intractable facial paralysis, and when and how it might be more effective and safety. It will help standardize electric acupuncture treatment strategies for intractable facial paralysis. PROSPERO REGISTRATION NUMBER: CRD42021278541.

Fabrication of graphitic carbon Nitride/Nonstoichiometric molybdenum oxide nanorod composite with the nonmetal plasma enhanced photocatalytic hydrogen evolution activity.

The extended light absorption and the prevented charge recombination are crucial for the graphitic carbon nitride (g-C3N4) based photocatalytic materials. Herein, nonstoichiometric molybdenum oxide (MoO3-x) nanorods with oxygen vacancies were synthesized by a hydrothermal method with trace amount of oleylamine, and the Z-scheme two-dimentional (2D)/one-dimentional (1D) g-C3N4/MoO3-x composites were prepared by a facile electrostatic assembling approach. The blue MoO3-x nanorods with oxygen vacancies are loaded uniformly on the g-C3N4 nanosheets. The g-C3N4/MoO3-x composite materials exhibit strong absorption in the visible and near-infrared light regions, and the improved charge separation efficiency through the Z-scheme charge transfer mechanism. The g-C3N4/MoO3-x composite presents a significantly improved photocatalytic hydrogen generation activity with good cycling stability compared with sonicated g-C3N4 nanosheets. The best hydrogen generation activity of 209.2 µmol·h-1 under solar light irradiation and the highest apparent quantum efficiency of 4.4% irradiated at 365 nm are obtained by the g-C3N4/MoO3-x composite with a mass percent of 27.5%, which is 2.63 times of g-C3N4. The weight ratios and the content of oxygen vacancies in the small-size MoO3-x nanorods have a significant influence on the photocatalytic hydrogen performance. Moreover, effective photocatalytic overall water splitting can be achieved with the H2 and O2 evolution rates of 0.755 and 0.368 µmol∙h-1 by the g-C3N4/MoO3-x composite. The novel g-C3N4/MoO3-x composite will have broad prospects in the field of photocatalytic applications.