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Abstract Two dimensional (2D) crystals have attracted strong interest as a new class of proton-conducting materials that can block atoms, molecules and ions while allowing proton transport through the atomically thin basal planes. Although 2D materials exhibit this perfect selectivity, the reported proton conductivities have been relatively low. Here we show that vacancy-rich titania monolayers are highly permeable to protons while remaining impermeable to helium with proton conductivity exceeding 100 S cm−2 at 200 °C and surpassing targets set by industry roadmaps. The fast and selective proton transport is attributed to an extremely high density of titanium-atom vacancies (one per square nm), which effectively turns titania monolayers into angstrom-scale sieves. Our findings highlight the potential of 2D oxides as membrane materials for hydrogen-based technologies.

Context Jian Gan powder (JGP) is a Chinese medicine compound comprised ginseng, Radix Paeoniae Alba, Radix Astragali, Salvia miltiorrhiza, Yujin, Rhizoma Cyperi, Fructus aurantii, Sophora flavescens, Yinchen, Bupleurum and licorice.Objective This study explored the inhibitory effects, polarization and potential mechanisms associated with JGP in macrophages.Materials and methods RAW264.7 cells were randomly divided into six groups for 24 h: control, lipopolysaccharide (LPS), overexpression, 1% JGP, 2% JGP, 4% JGP, 8% JGP and 16% JGP. The effects of JGP on RAW264.7 cell proliferation were assessed using colony formation assays and cell counting kit-8 (CCK-8) assays. The Transwell assay was used to evaluate its impact on RAW264.7 cell migration. Moreover, we analysed the interleukin-6 (IL-6)/signal transducer and activator of the transcription 3 (IL-6/STAT3) signaling pathway using quantitative real-time PCR and Western blotting. Furthermore, we examined the M1/M2 polarization levels.Results Unlike LPS stimulation, JGP serum treatment markedly suppressed macrophage proliferation and migration capacity, while STAT3 overexpression enhanced RAW264.7 cell proliferation and migration. JGP inhibited the proliferation and migration of RAW264.7 cells by attenuating the IL-6/STAT3 signaling pathway. Furthermore, it inhibited macrophage M1 polarization, promoting M2 polarization.Discussion and conclusions JGP effectively suppressed the cellular function of RAW264.7 cells by down-regulating the IL-6/STAT3 signaling pathway and modulating macrophage M1/M2 polarization. These findings provide valuable theoretical and experimental basis for considering the potential clinical application of JGP in the treatment of immune-mediated liver injury in clinical practice.

Abstract Pest rodents persistently undermine crop yields and food security. Fertility control could be a viable alternative for managing rodent populations. This study investigates the antifertility effects of various concentrations of clarithromycin combined with 1.0 mg/kg quinestrol on male rodents to determine an effective contraceptive dose that minimizes quinestrol usage, addressing key concerns such as potential environmental residue, which may impact ecological balance, and poor palatability, which could reduce ingestion and limit the sterilant’s effectiveness. Male mice were divided into five groups and administered different doses of clarithromycin or clarithromycin and quinestrol for three consecutive days, while the control group received sunflower seed oil only. After seven days, organ weights, reproductive organ weights, sperm density, serum hormone levels, and CYP3A4 content in small intestinal and liver tissues were measured to assess persistent effects. Compared with the control group, all treatment groups had significant reductions in epididymal weight, seminal vesicle weight, and serum T and LH levels. Higher concentrations of clarithromycin (2 mg/kg and 10 mg/kg) significantly impacted reproductive metrics, including sperm density, organ weights, and serum LH and testosterone levels, though complete sterilization was not achieved, with more than 60 million cauda epididymal spermatozoa remaining. However, the combination demonstrated potential as an effective strategy for male fertility control. The combination of 2.0 mg/kg clarithromycin and quinestrol can mitigate organ enlargement seen with quinestrol alone. This combination also decreased total enzyme content, thereby diminishing quinestrol’s induction of CYP3A4, which may increase the sterilization effectiveness of the treatment.

Abstract Owing to the widespread integration of renewable distributed energy resources (DERs), the system frequency stability has been jeopardized by the non‐inertial and stochastic units caused by power electronic devices. The integrated energy system (IES) that combines multi‐vector energy resources can provide energy compensation among sub‐systems in a coordinated fashion to further alleviate the volatility on the electric grid. Under the framework of IES, a virtual power plant (VPP) can aggregate multi‐entities and multi‐vector energy resources to participate in the frequency regulation service while pursuing profit maximization. A three‐stage optimal scheduling model of IES‐VPP that fully considers the cycle life of energy storage systems (ESSs), bidding strategies and revenue settlement has been proposed in this paper under the modified PJM frequency regulation market framework to motivate the aggregated resources to respond to the frequency regulation market actively. The simulation results under various scenarios have verified the feasibility and effectiveness of the proposed model through techno‐economic analysis, the advantages of IES‐VPP have been demonstrated compared with a single vector energy system.

Objective: This study aimed to optimize the aging technology of Fuyuxiangxing crude Baijiu and improve its quality. Methods: Testing and analyzing the new wine and the Fuyuxiangxing crude Baijiu aged for 1, 3, 5, 8 and 10 years allowed for the analysis of the physicochemical indexes such as pH, conductivity, viscosity, total acid and total ester. Additionally, the primary volatile flavor components of the six samples were qualitatively assessed using GC and GC-MS, and 26 volatile flavor components of the samples were quantitatively assessed using the external standard method. Results: With the increase of aging time, the conductivity increased, the viscosity increased, the total acid content increased and the total ester content decreased; 26 volatile flavor components were quantified in the 6 Fuyuxiangxing crude Baijiu, including 8 esters, 8 alcohols, 5 acids and 5 aldehydes and ketones, with the contents of esters increasing and then decreasing, the contents of alcohols showing a slow decreasing trend, and the contents of acids and aldehydes increasing. Both the principal component analysis (PCA) and the partial least squares discriminant analysis(PLS-DA) could better distinguish Fuyuxiangxing crude Baijiu with different aging time. Conclusion: The preliminary study reveals the changing rules of physicochemical properties and flavor substances during the aging process of Fuyuxiangxing crude Baijiu, and the appropriate aging time can improve the quality of crude Baijiu, which can provide a reference for the optimization of the aging technology of Fuyuxiangxing crude Baijiu.

Abstract Aim Recent imaging studies have found significant abnormalities in the brain’s functional or structural connectivity among patients with high myopia (HM), indicating a heightened risk of cognitive impairment and other behavioral changes. However, there is a lack of research on the topological characteristics and connectivity changes of the functional networks in HM patients. In this study, we employed graph theoretical analysis to investigate the topological structure and regional connectivity of the brain function network in HM patients. Methods We conducted rs-fMRI scans on 82 individuals with HM and 59 healthy controls (HC), ensuring that the two groups were matched for age and education level. Through graph theoretical analysis, we studied the topological structure of whole-brain functional networks among participants, exploring the topological properties and differences between the two groups. Results In the range of 0.05 to 0.50 of sparsity, both groups demonstrated a small-world architecture of the brain network. Compared to the control group, HM patients showed significantly lower values of normalized clustering coefficient (γ) (P = 0.0101) and small-worldness (σ) (P = 0.0168). Additionally, the HM group showed lower nodal centrality in the right Amygdala (P

In this study, the high-temperature evolution of eutectic carbides in a medium-alloy steel was investigated as well as their precipitation mechanism. Results revealed that MC and M6C eutectic carbides in the steel appeared during the final solidification due to the segregation of Mo and V and the melt undercooling. These eutectic carbides consist of blocky shapes with varying orientations, and rod-like shapes with the same orientation. Further investigation was confirmed that the carbides (MC and M6C) exhibited an intergrowth behavior. The cooling rate had a direct influence on the secondary dendrite arm spacing (SDAS), which decreased from 180 to 130 μm as the rate ranged from 0.6 to 21.9 °C/min. After holding for 0, 25, 50, and 80 h, respectively, the volume percentage of eutectic carbides exhibited a significant decreasing trend from 2 to 0.2%. Additionaly, the carbides exhibited irregular morphology after holding for 0–50 h, respectively, and which was transformed into the rod-like shape with a small size distributed along the grain boundaries after holding for 80 h. This phenomenon was attributed to the mutual diffusion between Mo, V, and other alloying elements in the carbides and Fe element in the steel matrix.

Background: and purpose: The investigation of functional plasticity and remodeling of the brain in patients with retinal detachment (RD) has gained increasing attention and validation. However, the precise alterations in the topological configuration of dynamic functional networks are still not fully understood. This study aimed to investigate the topological structure of dynamic brain functional networks in RD patients. Methods: We recruited 32 patients with RD and 33 healthy controls (HCs) to participate in resting-state fMRI. Employing the sliding time window analysis and K-means clustering method, we sought to identify dynamic functional connectivity (dFC) variability patterns in both groups. The investigation into the topological structure of whole-brain functional networks utilized a graph theoretical approach. Furthermore, we employed machine learning analysis, selecting altered topological properties as classification features to distinguish RD patients from HCs. Results: All participants exhibited four distinct states of dynamic functional connectivity. Compared to the healthy control (HC) group, patients with RD experienced a significant reduction in the number of transitions among these four states. Additionally, the dynamic topological properties of RD patients demonstrated notable changes in both global and node-specific characteristics, with these changes correlating with clinical parameters. The support vector machine (SVM) model used for classification achieved an accuracy of 0.938, an area under the curve (AUC) of 0.988, and both sensitivity and specificity of 0.937. Conclusion: The alterations in the topological properties of the brain in RD patients may indicate the integration function and information exchange efficiency of the whole brain network were reduced. In addition, the topological properties hold considerable promise for distinguishing between RD and HCs.

Grassland which covers 40% of terrestrial land is an important ecosystem having a multitude of functions, which has suffered various degrees of degradation with the interaction between global climate change and unreasonable human utilization (e.g., grazing and reclamation). Improved understanding of soil and microbial community diversity during meadow steppe degradation is crucial for predicting degradation mechanisms and restoration strategies. Here, we used Illumina sequencing technology to investigate the patterns of soil microbial community structure and the driving factors of its change across different degradation degrees of meadow steppe [i.e., non-degraded grasslands (NDG), lightly degraded grasslands (LDG), moderately degraded grasslands (MDG), and severely degraded grasslands (SDG)] south of the Greater Khingan Mountains. Our results showed a significant variation in soil properties, enzyme activity, and soil metal elements across the degraded meadows. Soil available phosphorus (AP), urease (UE), and cellulase (CL) in soils increased with the intensity of grassland degradation. Grassland degradation significantly decreased soil bacterial and fungal richness. In addition, grassland degradation significantly increased the relative abundance of Firmicutes (from 1.65% to 5.38%) and Myxococcota (from 2.13% to 3.13%). Degradation considerably increased the relative abundance of Ascomycota (from 66.54% to 75.05%), but decreased Basidiomycota (from 18.33% to 9.92%). The relative abundance of nitrogen fixation and cellulolysis decreased significantly due to grassland degradation. For fungal functional guilds, the relative abundance of pathotrophs increased while saprotrophs decreased significantly with increasing severity of degradation. Total nitrogen (TP), AP, available potassium (AK), manganese (Mn), lead (Pb), UE, sucrase (SC), and alcalase protease (ALPT) were the main drivers of soil bacterial community composition, while TP, AP, AK, Pb, UE, and SC were the main drivers of soil fungal community composition in the degraded grassland. Our findings demonstrated that severe grassland degradation has an enormous effect on soil microbial communities and soil physicochemical dynamics. These findings improve our theoretical understanding of the interactions between soil microbial populations and soil environmental variables in degraded grassland.

Sentinel lymph node (SLN) biopsy is a commonly employed procedure for the routine assessment of axillary involvement in patients with breast cancer. Nevertheless, conventional SLN mapping cannot reliably distinguish the presence and absence of metastatic disease. Additionally, the complex anatomical structures and lymphatic drainage patterns surrounding tumor sites pose challenges to the sensitivity of the near-infrared fluorescence imaging with subcutaneously injected probes. To identifying the SLN metastases, we developed a novel nanoprobe for in vivo fluorescence imaging within the second near-infrared (NIR-II) range. This nanoprobe utilizes rare-earth nanoparticles (RENPs) to emit bright fluorescence at 1525 nm and is conjugated with tumor-targeted hyaluronic acid (HA) to facilitate the detection of metastatic SLN. Upon intravenous administration, RENPs@HA effectively migrated to SLNs and selectively entered metastatic breast tumor cells through CD44-mediated endocytosis. The RENPs@HA nanoprobes exhibited rapid accumulation in metastatic inguinal lymph nodes in mouse model, displaying a 5.8-fold-stronger fluorescence intensity to that observed in normal SLNs. Consequently, these nanoprobes effectively differentiate metastatic SLNs from normal SLNs. Importantly, the probes accurately detected micrometastases. These findings underscore the potential of RENPs@HA for real-time visualization and screening of SLNs metastasis.

Abstract Objectives To quantify the relationship between abdominal computed tomography (CT)-based body composition parameters and renal function in systemic lupus erythematosus (SLE) patients and evaluate the potential effect of insulin resistance on this relationship. Methods SLE patients from institutions A and B between January 2017 and August 2023 were enrolled. Areas and attenuation values of subcutaneous adipose tissue, visceral adipose tissue, intermuscular adipose tissue (IMAT), and skeletal muscle index on CT images were measured at the L3 vertebral level. Logistic regression analysis was used to identify risk factors associated with decreased renal function. Linear regression models were used to describe the relationships between body composition parameters and estimated glomerular filtration rate (eGFR). Finally, we used a single-point insulin sensitivity estimator to indirectly reflect the degree of insulin resistance and assess its mediating effect on the association between IMAT area and decreased renal function. Results Three-hundred thirty-nine SLE patients from institution A (internal dataset) and 114 SLE patients from institution B (external validation dataset) were included. Multivariate logistic regression revealed that IMAT area (odds ratio (OR)institution A: 1.05 (95% confidence intervals (95% CI): 1.01, 1.10), and ORinstitution B: 1.19 (95% CI: 1.03, 1.39)) was an independent risk factor for decreased renal function in SLE patients. In the adjusted linear regression model, high IMAT area was significantly associated with reduced eGFR (β institution A = −1.15, P institution A = 0.005; β institution B = −0.98, P institution B = 0.049). Additionally, insulin resistance contributed a mediating role of 22.8% to the association. Conclusion High IMAT area was associated with decreased renal function in SLE patients and insulin resistance mediated this relationship. Critical relevance statement High intermuscular adipose tissue area is associated with decreased renal function in systemic lupus erythematosus patients mediated by insulin resistance and is correlated with chronicity index in lupus nephritis patients. Key Points High intramuscular adipose tissue (IMAT) area was associated with decreased renal function in systemic lupus erythematosus (SLE) patients. Insulin resistance mediated the association between IMAT area and eGFR. IMAT area was associated with chronicity index in lupus nephritis patients. Graphical Abstract

The development of light-field imaging principles has provided new insights and directions for diagnostic multi-physical fields. The light-field camera, based on the principles of light-field imaging, captures the angle information of incident light rays, through a micro-lens array between the main lens and the sensor. Researchers have developed various multi-physics diagnostic techniques based on the principles of light-field imaging. Firstly, the light-field particle image velocimetry (LF-PIV) technique was introduced. It utilized a light-field camera to capture particle images of a complex three-dimensional flow field. Applying three-dimensional calibration, reconstruction and cross-correlation algorithms subsequently gene-rated the three-dimensional velocity field. It ensures measurement accuracy while capturing a three-dimensional three-component velocity field. Moreover, it effectively reduces the device size for velocity field measurements within constrained spaces. Secondly, the application of light-field cameras in the field of shape measurements was introduced. The light-field camera can capture three-dimensional point cloud information of the object′s surface by a single camera and a single shot. This not only significantly reduces measurement time but also simplifies imaging equipment, enabling three-dimensional topography measurement of film-cooling holes. Thirdly, applying light-field camera in the field of temperature measurement can simplify spectral separation methods, leading to the streamlining of temperature measurement systems. Finally, the light-field multi-physics diagnostic technology was summarized, and the endoscopic light-field and meta-lens-based light-field diagnostic technology was prospected.

Abstract Background Venous thromboembolism (VTE), is a noteworthy complication in individuals with gastric cancer, but the current diagnosis and treatment methods lack accuracy. In this study, we developed a t-PAIC chemiluminescence kit and employed chemiluminescence to detect the tissue plasminogen activator inhibitor complex (t-PAIC), thrombin-antithrombin III complex (TAT), plasmin-α2-plasmin inhibitor complex (PIC) and thrombomodulin (TM), combined with D-dimer and fibrin degradation products (FDP), to investigate their diagnostic potential for venous thrombosis in gastric cancer patients. The study assessed variations in six indicators among gastric cancer patients at different stages. Results The t-PAIC reagent showed LOD is 1.2 ng/mL and a linear factor R greater than 0.99. The reagents demonstrated accurate results, with all accuracy deviations being within 5%. The intra-batch and inter-batch CVs for the t-PAIC reagent were both within 8%. The correlation coefficient R between this method and Sysmex was 0.979. Gastric cancer patients exhibited elevated levels of TAT, PIC, TM, D-D, FDP compared to the healthy population, while no significant difference was observed in t-PAIC. In the staging of gastric cancer, patients in III-IV stages exhibit higher levels of the six markers compared to those in I-II stages. The ROC curve indicates an enhancement in sensitivity and specificity of the combined diagnosis of four or six indicators. Conclusion Our chemiluminescence assay performs comparably to Sysmex’s method and at a reduced cost. The use of multiple markers, including t-PAIC, TM, TAT, PIC, D-D, and FDP, is superior to the use of single markers for diagnosing VTE in patients with malignant tumors. Gastric cancer patients should be screened for the six markers to facilitate proactive prophylaxis, determine the most appropriate treatment timing, ameliorate their prognosis, decrease the occurrence of venous thrombosis and mortality, and extend their survival.

Abstract Rare-earth engineering is an effective way to introduce and tune magnetism in topological kagome materials, which have been acting as a fertile platform to investigate the quantum interactions between geometry, topology, spin, and correlation. Here, we report the synthesis, structure, and physical properties of titanium-based kagome metals RETi3Bi4 (RE = Yb, Pr, and Nd) with various magnetic states. They all crystallize in the orthogonal space group Fmmm (No. 69), featuring distorted titanium kagome lattices and rare-earth zig-zag chains. By changing the rare earth atoms in the zig-zag chains, the magnetism can be tuned from nonmagnetic YbTi3Bi4 to short-range ordered PrTi3Bi4 (T anomaly ~ 8.2 K), and finally to ferromagnetic NdTi3Bi4 (T c ~ 8.5 K). In-situ resistance measurements of NdTi3Bi4 under high pressure further reveal a tunable ferromagnetic ordering temperature. These results highlight RETi3Bi4 as a promising family of kagome metals to explore nontrivial band topology and exotic phases.

【Objective】The study was conducted to investigate the genetic diversity of Symphysodon aequifasciatus, analyze the kinship and the genetic differences of a wild population and two artificially bred blue populations, identify candidate genomic regions and loci associated with body color, and provide references for the formulation of classification system of discus fish.【Method】Whole-genome resequencing was conducted on 9 individuals from the wild population (WF), 8 individuals from the solid blue population (BF) and 10 individuals from the albino blue population (ABF), respectively. Single nucleotide polymorphism (SNP) loci were obtained to calculate population genetic diversity indices, analyze population genetic structure, and perform selective sweep analysis between populations. The candidate SNPs were validated by considering SNP annotation and mutation rates combined with PCR and Sanger sequencing.【Result】A total of 1 360 293 SNPs are identified among the 3 Symphysodon aequifasciatus populations. Genetic diversity, as measured by PIC, Pi, Ho, and He, indicates a decreasing trend from the wild population to the solid blue and albino blue populations, with low heterozygosity in the selected populations. Phylogenetic tree, population structure analysis, and principal component analysis of polymorphic loci all indicate that the three populations are independent of each other and cluster within themselves. Linkage disequilibrium decay analysis indicates that the albino blue population is under significant selection pressure, followed by the solid blue population. The result of population selective sweep based on the population differentiation index (FST) and nucleotide polymorphism (Pi) reveals strong selection signals in large regions of chromosomes 3, 12, 13, 18, and 20 in the solid blue population and chromosomes 1, 16, 18, and 19 in the albino blue population. Thirteen and nine candidate SNPs are identified in the solid blue and albino blue populations, respectively.【Conclusion】The genetic diversity of the 3 Symphysodon aequifasciatus populations is relatively low, and the genetic relationships are consistent with the process of artificial breeding. USP43, FGFR2, DENND4, and MLL1 genes may be closely related to the body color formation of Symphysodon aequifasciatus.

Abstract Background Immunological liver injury (ILI) is a common liver disease associated with the microbiota-gut-liver axis. Jian Gan powder (JGP) exhibits both protective and therapeutic effects on hepatitis virus-induced ILI in the clinic. However, the underlying mechanisms remain elusive. The aim of this study is to investigate the hepatoprotective effects and associated mechanisms of JGP in the context of gut microbiota, utilizing a mouse model of ILI. Methods The mouse model was established employing Bacillus Calmette-Guérin (BCG) plus lipopolysaccharide (LPS). Following treatment with JGP (7.5, 15, or 30 g/kg), serum, liver, and fresh fecal samples were analyzed. 16S rRNA gene sequencing and untargeted metabolomics profiling were performed to assess the role of JGP on the gut microbiota and its metabolites. Results JGP treatment markedly reduced serum IFN-γ, IL-6, IL-22, and hepatic p-STAT3 (phosphorylated transducer and activator of transcription-3) expression. In contrast, JGP increased the percentage of proliferating cell nuclear antigen-positive liver cells in treated mice. Fecal 16S rRNA gene sequencing revealed that JGP treatment restored the levels of Alloprevotella, Burkholderia-Caballeronia-Paraburkholderia, Muribaculum, Streptococcus, and Stenotrophomonas. Additionally, metabolomics analysis of fecal samples showed that JGP restored the levels of allylestrenol, eplerenone, phosphatidylethanolamine (PE) (P-20:0/0:0), sphingomyelin (SM) d27:1, soyasapogenol C, chrysin, and soyasaponin I. Conclusions JGP intervention improves ILI by restoring gut microbiota and modifying its metabolic profiles. These results provide a novel insight into the mechanism of JGP in treating ILI and the scientific basis to support its clinical application.

Background: Colon cancer is one of the most prevalent digestive cancers worldwide. Results of epidemiological, experimental, and clinical studies suggest that aspirin inhibits the development of colon cancer. This study aimed to systematically elucidate the molecular mechanisms by which aspirin prevents colon carcinogenesis. Methods: We determined the global protein expression profiles of colorectal cancer and aspirin-treated cells using quantitative proteomic analysis. We analyzed the proteomic results using bioinformatics (including differential proteins, protein annotation, Kyoto Encyclopedia of Genes and Genomes [KEGG] pathways, and protein–protein interaction [PPI] network). The viability of the colon cancer cell line and HT29 ​cells treated with aspirin was determined using the cell counting kit-8 assay. The differentially expressed proteins, such as p53 and cyclin-dependent kinase 1 (CDK1), were quantified using real-time polymerase chain reaction (PCR) and Western blotting. We measured cell cycle distribution and apoptosis in HT29 ​cells exposed to aspirin using fluorescence-activated cell sorting (FACS). Results: We found that 552 proteins were significantly dysregulated, of which 208 and 334 were upregulated and downregulated, respectively, in colon cancer cells exposed to 10 ​mmol/L of aspirin (95% confidence interval [CI]: -1.269 to -0.106, P ​

This study investigates whether ketoconazole, a CYP3A4 inhibitor, can enhance the suppressive effects of quinestrol on reproductive capacity, potentially allowing for a reduced quinestrol dosage while maintaining its efficacy. A total of 104 healthy adult male mice were divided into two groups, assessed at 10 and 30 days. Within each group, six treatment categories were tested: the control (CK), quinestrol alone (Q1, Q5), and quinestrol combined with varying doses of ketoconazole (Q1 + K0.4, Q1 + K2, Q5 + K0.4). The key parameters measured included internal and reproductive organ weights, sperm density, sperm motility, sperm abnormalities, and CYP3A4 enzyme content in intestinal and liver tissues. After 10 days, the combination of a low dose of quinestrol with ketoconazole (Q1 + K0.4) showed the most significant pronounced effects in reducing reproductive potential, with notable reductions in epididymal weight, sperm density, sperm abnormality rate and vitality, serum hormone levels, and CYP3A4 content in the small intestine and liver. Although some reproductive parameters returned to near-baseline levels after 30 days, the Q1 + K0.4 regimen continued to exhibit reduced seminal vesicle weight and testosterone levels. Importantly, the combination did not significantly increase CYP3A4 enzyme content, indicating effective metabolic inhibition. The combination of quinestrol and ketoconazole, especially the Q1 + K0.4 regimen, demonstrated the most noticeable impact on reducing reproductive capacity. This regimen significantly reduced key reproductive parameters and showed strong metabolic inhibition, suggesting that ketoconazole substantially enhances the efficacy of quinestrol in fertility control.

Corticotropin-releasing hormone (CRH) mediates various physiological/pathological roles such as stress and reproduction in vertebrates by specifically activating its receptors (CRHRs), and the regulation is intricately intertwined with the CRH binding protein (CRHBP). Although numerous research on mammalian CRHRs and CRHBP has been conducted, reports regarding the teleost CRHRs and CRHBP are limited. Herein, using Nile tilapia (ti-) as a model, we conducted the characterization, functional analysis, and examination of tissue distribution of tiCRHRs and tiCRHBPs. Our study showed that: (1) tiCRHR1a, tiCRHR1b and tiCRHR2 encoded proteins of 432, 436 and 414 amino acids (-aa), while tiCRHBP1 and tiCRHBP2 were predicated to generate a 323- and 322-aa precursor respectively; (2) All tiCRHRs could be activated by tiCRH and subsequently coupled to cAMP/PKA signaling pathways, while only tiCRHR1a and tiCRHR1b could trigger MAPK/ERK signaling cascade; (3) tiCRHBP1 and tiCRHBP2 could does-dependently suppress tiCRH-upregulated luciferase activity in HEK293 cells expressing tiCRHRs; (4) All tiCRHRs mRNA were considerably detected in the central nervous system (CNS), but they exhibited distinct expression pattern in examined peripheral tissues; (5) tiCRHBP1 exhibited an exclusive expression pattern in the pituitary, whereas tiCRHBP2 mRNA was abundantly expressed in the telencephalon. Collectively, our data will help to facilitate a better understanding of the members and functions of CRHRs and CRHBP in teleost.

The chosen of ligands directly affects the self-assembly behaviors of uranyl compounds, and plays a critical role in the structure and function of the compounds. In this work, several ligands were selected to assembled with uranyl ions by hydrothermal method, and three uranyl coordination polymers(CPs) based on viologen functional groups were synthesized. The main skeleton of the CPs is one-dimensional(1D) chain structure. Among them, compounds 1 and 2 exhibit obvious fluorescence properties. In addition, compound 2 exhibit significantly reversible photochromic/thermochromic properties. Ultraviolet-visible spectrum and electron paramagnetic resonance(EPR) spectrum indicate that the reversible color change is due to the generation of viologen radicals from viologen ligands after irradiation. This research has realized the assembly and synthesis of several uranyl CPs based on viologen ligands, and lead to design and development of more functional materials containing depleted uranium.

Abstract Purpose Pulmonary sarcoidosis (PS) and pulmonary lymphangitic carcinomatosis (PLC) can be complications in tumor patients, and both involve the pulmonary interstitium and have similar imaging findings. Our objective was to distinguish PS and PLC on 18F-FDG PET/CT images. Material and methods The authors reviewed 18F-FDG PET/CT data of PS and PLC, diagnosed based on histopathology and imaging, in patients with tumors from July 2015 to January 2023. Three independent readers performed a blinded comparative analysis of 18F-FDG PET/CT signs in all patients. A multivariate logistic regression model was used to establish a differential diagnosis model. Results A total of 114 patients were included in the study: 56 patients with PS (mean age, 56 ± 11 [SD] years; 10 men) and 58 patients with PLC caused by extrapulmonary tumors (mean age, 51 ± 11 [SD] years; 21 men). For PS, breast cancer and cervical cancer were the most common primary tumors. For PLC, breast cancer and gastric cancer were the most common extrapulmonary tumors. The model constructed using multivariate logistic regression consisted of five factors: area of lymph node involvement, bronchovascular bundle diffuse thickening, interlobular septal thickening, pleural effusion, and subpleural hypermetabolic activity. The area under the model characteristic curve was 0.973 (95% CI 0.925–0.994), with a sensitivity, specificity, and positive and negative likelihood ratios of 87.50%, 98.28%, 50.75 and 0.13 respectively. Conclusion There are detailed differences in 18F-FDG PET/CT manifestations of PS in tumor patients and PLC caused by extrapulmonary tumors, and the constructed diagnostic model has high clinical application value in differentiating the two.

Abstract Layered superconductors exhibit strong anisotropic responses to magnetic fields in out-of-plane and in-plane orientations, due to their distinct vortex structures and upper critical field values. Here, we utilize the planar tunnel junction technique to perform continuous magnetic field-dependent dI/dV spectroscopy measurements on 2H-NbSe2 under different field orientations. We observe characteristic kink features for weak in-plane magnetic fields, but the overall behaviors are quite similar for different field orientations despite the distinct vortex generation processes and widely different upper critical field values. Especially, the generic square root dependence of the Fermi level density of state on magnetic field indicates that the Doppler shift plays a central role in the low energy excitations of 2H-NbSe2 in the presence of magnetic field.

Objective: Kudzu root, fern root, lily, and yam bean are characteristic plant resources in Wuling Mountain Area, the gelatinization and instant properties of these four starches was analyzed in this study. Methods: SEM, RVA, and DSC were used to investigate the gelatinization properties of the starches, and the transparency and apparent fluidity of starch pastes was used to analysis the instant properties. Results: The granule of kudzu root, fern root, and yam bean starches showed similar morphology, most of which are spherical, but lily starch exhibited spindle-shaped morphology. The RVA results showed that the peak viscosity of lily starch was the highest [(7.00±0.03) Pa·s] among these four starches. The setback value of kudzu root starch and lily starch was more than fern root starch and yam bean starch, which indicating that kudzu root starch and lily starch was easy to retrograde. The DSC results showed that the initial gelatinization temperature of fern root starch was 59.4 ℃, which was the lowest among these starches, indicating that it was easy to gelatinize. Lily starch has the highest gelatinization enthalpy, which is 15.64 J/g, indicating that more heat was required for gelatinization. After gelatinization, the kudzu root starch paste has the best transparency with a light transmittance of 29.11%, while lily starch paste has a light transmittance of only 12.25%. Kudzu root starch paste and lily starch paste was easy to form gels, but the fluidity was poor. Conclusion: Lily starch and kudzu root starch have similar instant properties and have potential for the development of instant foods, fern root starch and cold potato starch showed a lower retrogradation value, and their paste showed better fluidity, which can be used to inhibit the retrogradation of food.

Based on the GPS trajectory data of a freight enterprise in Dalian, China, this paper studies the identification of loading and unloading points by a clustering algorithm. Firstly, by analysing the characteristics of freight loading and unloading behaviour, combined with the spatial and temporal distribution characteristics of truck GPS trajectory data, three characteristic variables of the number of trucks passing through a certain place, the average speed of trucks and the average stay time of trucks in the place are extracted. Then, the clustering algorithm and visual analysis are used to obtain the target cluster, and the POI language of the geographic information is obtained according to the points in the target cluster. The meaning information is crawled to accurately identify the result of the freight loading point. Finally, two classical clustering algorithms, K-means and GMM, are evaluated and compared. The results show that the identification method designed in this paper finally identifies 2,320 freight loading and unloading points from 11,406,000 trajectory data, which can realise the accurate extraction of freight loading and unloading points.

Background The objective of this study was to investigate whether alcohol consumption might affect the quality of life (QOL), depressive mood, and metabolic syndrome in patients with obstructive lung disease (OLD). Methods Data were obtained from the Korean National Health and Nutrition Examination Survey from 2014 and 2016. OLD was defined as spirometry of forced expiratory volume in 1 second/forced vital capacity

Computer-aided design usually gives inspirations and has become a vital strategy to develop novel pesticides through reconstructing natural lead compounds. Patulin, an unsaturated heterocyclic lactone mycotoxin, is a new natural PSII inhibitor and shows significant herbicidal activity to various weeds. However, some evidence, especially the health concern, prevents it from developing as a bioherbicide. In this work, molecular docking and toxicity risk prediction are combined to construct interaction models between the ligand and acceptor, and design and screen novel derivatives. Based on the analysis of a constructed patulin–Arabidopsis D1 protein docking model, in total, 81 derivatives are designed and ranked according to quantitative estimates of drug-likeness (QED) values and free energies. Among the newly designed derivatives, forty-five derivatives with better affinities than patulin are screened to further evaluate their toxicology. Finally, it is indicated that four patulin derivatives, D3, D6, D34, and D67, with higher binding affinity but lower toxicity than patulin have a great potential to develop as new herbicides with improved potency.

Abstract Among biobased polymers, polylactic acid (PLA) is recognized as one of the most promising bioplastics to replace petrochemical‐based polymers. PLA is typically blended with other polymers such as polypropylene (PP) for improved melt processability, thermal stability, and stiffness. A technical challenge in recycling of PLA/PP blends is the sorting/separation of PLA from PP. Material binding peptides (MBPs) can bind to various materials. Engineered MBPs that can bind in a material‐specific manner have a high potential for material‐specific detection or enhanced degradation of PLA in mixed PLA/PP plastics. To obtain a material‐specific MBP for PLA binding (termed PLAbodies), protein engineering of MBP Cg‐Def for improved PLA binding specificity is reported in this work. In detail, a 96‐well microtiter plate based high‐throughput screening system for PLA specific binding (PLABS) was developed and validated in a protein engineering (KnowVolution) campaign. Finally, the Cg‐Def variant V2 (Cg‐Def S19K/K10L/N13H) with a 2.3‐fold improved PLA binding specificity compared to PP was obtained. Contact angle and surface plasmon resonance measurements confirmed improved material‐specific binding of V2 to PLA (1.30‐fold improved PLA surface coverage). The established PLABS screening platform represents a general methodology for designing PLAbodies for applications in detection, sorting, and material‐specific degradation of PLA in mixed plastics.

Abstract The prognosis and overall survival of castration-resistant prostate cancer (CRPC) patients are poor. The search for novel and efficient anti-CRPC agents is therefore extremely important. WM-3835 is a cell-permeable, potent and first-in-class HBO1 (KAT7 or MYST2) inhibitor. Here in primary human prostate cancer cells-derived from CRPC patients, WM-3835 potently inhibited cell viability, proliferation, cell cycle progression and in vitro cell migration. The HBO1 inhibitor provoked apoptosis in the prostate cancer cells. It failed to induce significant cytotoxicity and apoptosis in primary human prostate epithelial cells. shRNA-induced silencing of HBO1 resulted in robust anti-prostate cancer cell activity as well, and adding WM-3835 failed to induce further cytotoxicity in the primary prostate cancer cells. Conversely, ectopic overexpression of HBO1 further augmented primary prostate cancer cell proliferation and migration. WM-3835 inhibited H3-H4 acetylation and downregulated several pro-cancerous genes (CCR2, MYLK, VEGFR2, and OCIAD2) in primary CRPC cells. Importantly, HBO1 mRNA and protein levels are significantly elevated in CRPC tissues and cells. In vivo, daily intraperitoneal injection of WM-3835 potently inhibited pPC-1 xenograft growth in nude mice, and no apparent toxicities detected. Moreover, intratumoral injection of HBO1 shRNA adeno-associated virus (AAV) suppressed the growth of primary prostate cancer xenografts in nude mice. H3-H4 histone acetylation and HBO1-dependent genes (CCR2, MYLK, VEGFR2, and OCIAD2) were remarkably decreased in WM-3835-treated or HBO1-silenced xenograft tissues. Together, targeting HBO1 by WM-3835 robustly inhibits CRPC cell growth.

Abstract Aims/Introduction We investigated the classification of diabetic peripheral neuropathy (DPN) patients by subjective symptoms, and identification of the relationship between the patterns and intensities of symptoms and the clustered groups of DPN patients. Materials and Methods This multicenter study analyzed epidemiological data and sensory symptoms of 649 patients with DPN. Cluster analysis was carried out to identify subgroups of patients with characteristic symptom profiles. Factor analysis was carried out to investigate the symptom patterns of the clustered groups of DPN patients. Results Three clusters of patients with DPN were identified: severe symptoms with decreased quality of life (cluster 1, n = 119, 18.3%), predominantly insensate symptoms with relatively good quality of life (cluster 2, n = 318, 49.0%), and moderate pain intensity and decreased quality of life (cluster 3, n = 204, 31.4%). The frequency of symptoms on each item of the Michigan Neuropathy Screening Instrument questionnaire showed a similar distribution according to pain intensities along with the three clusters. Conclusions Our study supports the hypothesis that diversity in sensory symptoms exists in patients with DPN. Heterogeneity in DPN patients should be taken into account for a more stratified or individualized treatment approach. Based on a multicenter study, we identified three clusters of patients with DPN. Our research supports the hypothesis that diversity in sensory symptoms exists in patients with DPN. Heterogeneity in DPN patients should be taken into account for a more stratified or individualized treatment approach.

Objective: To investigate the types of volatile flavor components and their content differences in different vinegar ages of Hexi balsamic vinegar. Methods: Headspace solid-phase microextraction-gas chromatography mass spectrometry (HS-SPME-GC-MS) was used to analyze the volatile aroma components of five groups of Hexi balsamic vinegar of different years in 2017, 2018, 2019, 2020 and 2021. Results: A total of 117 volatile aroma components were detected in 5 groups of Hexi balsamic vinegar of different vinegar ages, 25 alcohol substances, 13 aldehydes, 14 acids, 24 esters and 41 other (ethers, phenols, alkane heterocyclic compounds, etc.) substances, the proportion of the quantity of substances in each of the five categories of substances to the total quantity of substances is 21.4%, 11.1%, 12.0%, 20.5% and 35.0%, respectively. The volatile aroma substances of Hexi balsamic vinegar in 2017, 2018, 2019, 2020 and 2021 were 29, 31, 35, 41 and 41 substances, respectively. With the prolongation of aging time, the number of alcohols showed a "W" pattern; the number of aldehydes, acids and other substances showed a rising trend before decreasing; the overall trend of the number of esters was not obvious. The relative contents of aldehydes and other substances showed an overall increasing trend; the relative contents of acids and esters showed an overall decreasing trend; the relative contents of alcohols showed an increasing and then decreasing trend. Conclusion: There were differences in the types and contents of volatile aroma components of Hexi balsamic vinegar with different vinegar ages, and the quality of Hexi balsamic vinegar in 2019 was relatively better among the five groups of samples studied.

A virtual power plant (VPP) is an effective way to manage distributed energy resources. Virtual power plant cluster (VPPC) is constructed due to the increasing number of VPPs. It has great potential in carbon emission reduction through coordination between VPPs. Therefore, a dynamic dispatch priority model is proposed. The model adjusts the dispatch sequence of VPPs based on carbon emissions. The higher the carbon emissions, the lower the dispatch priority. The VPPC participates in carbon trading and the carbon trading cost is included in the optimization objective. There are still many uncontrolled distributed energy resources, e.g., wind power, out of the VPPC. The distributionally robust optimal method is used to deal with the uncertainty of wind power. Finally, this paper proposes a two-stage distributionally robust optimal model of VPPC considering carbon emission-based dynamic dispatch priority. This model can be solved by the column-and-constraint generation (C&CG) algorithm. A VPPC with four VPPs is used in case studies, which verify the economic benefit and low carbon of the proposed model.

BackgroundThere is increasing evidence that patients with retinal detachment (RD) have aberrant brain activity. However, neuroimaging investigations remain focused on static changes in brain activity among RD patients. There is limited knowledge regarding the characteristics of dynamic brain activity in RD patients.AimThis study evaluated changes in dynamic brain activity among RD patients, using a dynamic amplitude of low-frequency fluctuation (dALFF), k-means clustering method and support vector machine (SVM) classification approach.MethodsWe investigated inter-group disparities of dALFF indices under three different time window sizes using resting-state functional magnetic resonance imaging (rs-fMRI) data from 23 RD patients and 24 demographically matched healthy controls (HCs). The k-means clustering method was performed to analyze specific dALFF states and related temporal properties. Additionally, we selected altered dALFF values under three distinct conditions as classification features for distinguishing RD patients from HCs using an SVM classifier.ResultsRD patients exhibited dynamic changes in local intrinsic indicators of brain activity. Compared with HCs, RD patients displayed increased dALFF in the bilateral middle frontal gyrus, left putamen (Putamen_L), left superior occipital gyrus (Occipital_Sup_L), left middle occipital gyrus (Occipital_Mid_L), right calcarine (Calcarine_R), right middle temporal gyrus (Temporal_Mid_R), and right inferior frontal gyrus (Frontal_Inf_Tri_R). Additionally, RD patients showed significantly decreased dALFF values in the right superior parietal gyrus (Parietal_Sup_R) and right paracentral lobule (Paracentral_Lobule_R) [two-tailed, voxel-level p

Machine learning (ML) is a key focus in predicting protein mutations and aiding directed evolution. Research on potential virus variants is crucial for vaccine development. In this study, the machine learning software PyPEF was employed to conduct mutation analysis within the receptor-binding domain (RBD) of the Spike glycoprotein of SARS-CoV-2. Over 48,960,000 variants were predicted. Eight prospective variants that could surface in the future underwent modeling and molecular dynamics simulations. The study forecasts that the latest variant, ISOY2P5O1, may potentially emerge around 17 November 2023, with an approximate window of uncertainty of ±22 days. The ISOY8P5O2 variant displayed an increased binding capacity in the dry assay, with a total predicted binding energy of −110.306 kcal/mol. This represents an 8.25% enhancement in total binding energy compared to the original SARS-CoV-2 strain discovered in Wuhan (−101.892 kcal/mol). Reverse research confirmed the structural significance of mutation sites using ML models, particularly in the context of protein folding. The study validated regression methods (SVR, RF, and PLS) with different data structures. This study investigates the effectiveness of the “ML-Guided Design Correctly Predicts Combinatorial Effects Strategy” compared to the “ML-Guided Design Correctly Predicts Natural Evolution Prediction Strategy”. To enhance machine learning, we created a timestamping algorithm and two auxiliary programs using advanced techniques to rapidly process extensive data, surpassing batch sequencing capabilities. This study not only advances machine learning in guiding protein evolution but also holds potential for forecasting future viruses and vaccine development.

With the increase in the use of high-frequency power electronic devices, the harmonics injected into the power grid show a trend of high-frequency development. The continuous rise of the supraharmonic emission level in the distribution network has become one of the power quality problems that needs to be solved urgently in the power grid. In this paper, an algorithm based on the Interpolation of the Self-convolutional Window All-phase Compressive Sampling Matching Pursuit (ISWApCoSaMP) is proposed. Firstly, the self-convolution operation is used for the maximum sidelobe decay (MSD) window, and then the compressed sampling matching pursuit model based on the All-phase is constructed, leading to the All-phase Compressive Sampling Matching Pursuit (ApCoSaMP). Finally, the four-spectrum-line interpolation is combined to utilize spectrum line information to improve the accuracy of signal parameter detection in the frequency domain. The introduced All-phase greatly improves the phase measurement accuracy because the initial phase of the supraharmonic signal is selected for phase estimation. In addition, the self-convolutional window and four-spectrum-line interpolation make full use of the information in the time and frequency domains, thus optimizing the measurement results of amplitude and frequency. The algorithm achieves high accuracy in the measurement results of simulated signals and accurately measures supraharmonics.

To improve the photocatalytic degradation efficiency of photocatalytic materials UIO-66 and La-MOFs under visible-light irradiation, a series of photocatalytic materials with La and Zr as metal centers and terephthalic acid (H2BDC) and 2-amino terephthalic acid (H2ATA) as organic ligands were prepared by solvothermal method. The photocatalytic materials were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), UV-visible (UV-vis) spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, and Mott-Schottky test. The photocatalytic degradation performance to Rhodamine B of the catalysts was fully investigated. Results show that the H2ATA series had stronger visible-light absorption capacity and better photocatalytic performance. The 0.35 La/Zr-H2ATA composite showed the best photocatalytic degradation. The quenching experiments confirmed that the active species in the photocatalytic degradation were the holes and superoxide radicals. The possible mechanisms of the carrier migration paths in the energy level matching for La/Zr-H2BDC and La/Zr-H2ATA were also discussed in detail. HIGHLIGHTS A heterojunction photocatalyst 0.35 La/Zr-H2ATA has been synthesized and it possesses excellent stability.; The 0.35 La/Zr-H2ATA photocatalysts exhibited the apparent visible-light absorption and the weakened recombination of photogenerated electron/hole pairs.; Two possible photocatalytic reaction mechanisms have been proposed.;

We propose an efficient way of axial magnetic fields generation in a nonrelativistic laser intensity regime by using a twisted light carrying orbital angular momentum (OAM) to stimulate two-plasmon decay (TPD) in a plasma. The growth of TPD driven by an OAM light in a Laguerre-Gauss (LG) mode is investigated through three-dimensional fluid simulations and theory. A theory based on the assumption that the electron plasma waves (EPWs) are locally driven by a number of local plane-wave lasers predicts the maximum growth rate proportional to the peak amplitude of the pump laser field and is verified by the simulations. The OAM conservation during its transportation from the laser to the TPD daughter EPWs is shown by both the theory and the simulations. The theory predicts generation of ≈40 T axial magnetic fields through the OAM absorption via TPD, which has perspective applications in the field of high energy density physics.

Abstract Background TGF-β1 promotes keratinocyte migration and re-epithelialization of cutaneous wounds during the wound healing process. Decreased SOCS7 expression has been associated with increased healing potential. However, the relationship between TGF-β1 and SOCS7 in wound re-epithelialization remains unclear. Objectives To investigate the relationship between TGF-β1 and SOCS7 in the re-epithelialization of keratinocytes during skin wound healing. Methods The expression of SOCS7 under different concentrations of TGF-β1 was detected by WB and qPCR. The migration ability of keratinocytes was detected by scratch and Transwell assay. Protein interactions were detected by ChIP and luciferase assay. The effect of SOCS7 on skin healing in mice was detected in animal model. Results In this study, we found that SOCS7 was downregulated by TGF-β1 and that overexpression of SOCS7 led to suppression of TGF-β1-induced keratinocyte migration through inhibition of the PI3K/AKT and MEK/ERK pathways. Also, TGF-β1 negatively regulated SOCS7 expression at the transcriptional level through the binding of EGR1 to the EGR1/SP1 overlapping binding sites in the SOCS7 promoter. Conclusion Taken together, our findings show that TGF-β1-induced EGR1 expression is required for repression of SOCS7, which promotes keratinocyte migration and re-epithelialization during wound healing. Finally, our study identifies the TGF-β1/EGR1/SOCS7 pathway as a potential therapeutic target to promote wound healing. Video Abstract

As a class of typical metal-organic framework materials(MOFs), actinide-based MOFs feature their unique actinide-ligand bonds. However, how these coordination interactions participate in and affect the lattice assembly process of organic ligands remains less studied. In this work, the coordination assembly of carbazole tricarboxylic acid organic ligands and uranyl ions was taken as a showcase study, and the regulation of uranyl coordination on the assembly process of carbazole tricarboxylic acid in lattice by controlling the synthesis conditions was studied in detail. Single-crystal analyses show that with the introduction of uranyl metal nodes, the assembly of carbazole tricarboxylic acid has realized a gradual evolution from a hydrogen bond-organic framework structure to a metal-organic network. In this regulation process, the connection of hydrogen bonds between different carbazole tricarboxylic acids is gradually replaced by uranyl coordination. The two-dimensional network structure also changes from sextuple intercatenated non-planar network through planar supramolecular network to final coordination network. The related transformation process is mainly manifested in gradual participation of the carboxyl groups in the coordination of uranyl center, which has also been confirmed by infrared spectroscopy. This work reveals the molecular mechanism of the synthesis of inorganic-organic porous materials through uranyl-ligand coordination and the detailed process of material structure evolution.

The Cs3PW12O40/Ag3PO4 (CsPW/Ag3PO4) heterojunction photocatalyst in this study was prepared using a simple chemical precipitation method. Spherical CsPW particles were successfully deposited on Ag3PO4 nanocrystals, all the as-prepared samples are characterized by X-ray diffraction pattern (XRD), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FT-IR), UV visible spectroscopy (UV-Vis), and X-ray photoelectron spectroscopy (XPS). The catalyst activity in relation to rhodamine B (RhB) degradation was evaluated under visible light (λ > 420 nm). The CsPW/Ag3PO4 heterojunction photocatalyst can effectively degrade RhB. The Z-scheme 3% CsPW/Ag3PO4 heterojunction photocatalyst has a higher photocatalytic ability compared with the single-component photocatalyst CsPW or Ag3PO4. The comparatively high photocatalytic performance can be attributed to the high matching of the energy band position and close interface contact, suggesting an enhanced separation efficiency of the photoinduced carriers of the CsPW/Ag3PO4 heterojunction photocatalyst. The reactive species trapping experiments demonstrated photogenerated holes (h+) and superoxide radicals to be the main active components of photocatalytic degradation. A possible photocatalytic mechanism is subsequently proposed. HIGHLIGHTS A Z-scheme heterojunction photocatalyst CsPW/Ag3PO4 has been synthesized and it possesses excellent stability.; The CsPW/Ag3PO4 photocatalysts exhibited apparent visible-light absorption and weakened recombination of photogenerated electron/hole pairs.; A possible photocatalytic reaction mechanism has been proposed.;

Spinal cord injury (SCI), either from trauma or degenerative changes, can result in severe disability and impaired quality of life. Understanding the cellular processes and molecular mechanisms that underlie SCI is imperative to identifying molecular targets for potential therapy. Recent studies have shown that non-coding RNAs, including both long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), regulate various cellular processes in SCI. In this review, we will describe the changes in lncRNA and circRNA expression that occur after SCI and how these changes may be related to SCI progression. Current evidence for the roles of lncRNAs and circRNAs in neuronal cell death and glial cell activation will also be reviewed. Finally, the possibility that lncRNAs and circRNAs are novel modulators of SCI pathogenesis will be discussed.

Background It is unclear whether glycemic variability (GV) is a risk factor for diabetic peripheral neuropathy (DPN), and whether control of GV is beneficial for DPN. The purpose of this study was to investigate the effect of GV on peripheral nerve damage by inducing glucose fluctuation in streptozotocin-induced diabetic rats. Methods Rats were divided into four groups: normal (normal glucose group [NOR]), diabetes without treatment (sustained severe hyperglycemia group; diabetes mellitus [DM]), diabetes+once daily insulin glargine (stable hyperglycemia group; DM+LAN), and diabetes+once daily insulin glargine with twice daily insulin glulisine (unstable glucose fluctuation group; DM+Lantus [LAN]+Apidra [API]). We measured anti-oxidant enzyme levels and behavioral responses against tactile, thermal, and pressure stimuli in the plasma of rats. We also performed a quantitative comparison of cutaneous and sciatic nerves according to glucose fluctuation. Results At week 24, intraepidermal nerve fiber density was less reduced in the insulin-administered groups compared to the DM group (P0.05; 16.2±1.6, 12.4±2.0, 14.3±0.9, and 13.9±0.6 for NOR, DM, DM+LAN, and DM+LAN+API, respectively). The DM group exhibited significantly decreased glutathione levels compared to the insulin-administered groups (2.64±0.10 μmol/mL, DM+LAN; 1.93±0.0 μmol/mL, DM+LAN+API vs. 1.25±0.04 μmol/mL, DM; P

AimThis study was conducted to explore differences in static functional connectivity (sFC) and dynamic functional connectivity (dFC) alteration patterns in the primary visual area (V1) among high myopia (HM) patients and healthy controls (HCs) via seed-based functional connectivity (FC) analysis.MethodsResting-state functional magnetic resonance imaging (fMRI) scans were performed on 82 HM patients and 59 HCs who were closely matched for age, sex, and weight. Seed-based FC analysis was performed to identify alterations in the sFC and dFC patterns of the V1 in HM patients and HCs. Associations between mean sFC and dFC signal values and clinical symptoms in distinct brain areas among HM patients were identified via correlation analysis. Static and dynamic changes in brain activity in HM patients were investigated by assessments of sFC and dFC via calculation of the total time series mean and sliding-window analysis.ResultsIn the left anterior cingulate gyrus (L-ACG)/left superior parietal gyrus (L-SPG) and left V1, sFC values were significantly greater in HM patients than in HCs. In the L-ACG and right V1, sFC values were also significantly greater in HM patients than in HCs [two-tailed, voxel-level P < 0.01, Gaussian random field (GRF) correction, cluster-level P < 0.05]. In the left calcarine cortex (L-CAL) and left V1, dFC values were significantly lower in HM patients than in HCs. In the right lingual gyrus (R-LING) and right V1, dFC values were also significantly lower in HM patients than in HCs (two-tailed, voxel-level P < 0.01, GRF correction, cluster-level P < 0.05).ConclusionPatients with HM exhibited significantly disturbed FC between the V1 and various brain regions, including L-ACG, L-SPG, L-CAL, and R-LING. This disturbance suggests that patients with HM could exhibit impaired cognitive and emotional processing functions, top-down control of visual attention, and visual information processing functions. HM patients and HCs could be distinguished from each other with high accuracy using sFC and dFC variabilities. These findings may help to identify the neural mechanism of decreased visual performance in HM patients.

ABSTRACT: Stress can suppress reproduction capacity in either wild or domestic animals, but the exact mechanism behind it, especially in terms of steroidogenesis, remains under-investigated so far. Considering the important roles of progesterone in avian breeding, we investigated the modulation of corticosterone on progesterone production in cultured granulosa cells of chicken follicles at different developmental stages. Using enzyme immunoassays, our study showed that corticosterone could only inhibit progesterone synthesis in granulosa cells from F5-6, F4, and F3 follicles, but not F2 and F1 follicles. Coincidentally, both quantitative real-time PCR and western blotting revealed that corticosterone could downregulate steroidogenic acute regulatory protein (StAR) expression, suggesting the importance of StAR in corticosterone-related actions. Using the dual-luciferase reporter system, we found that corticosterone can potentially enhance, rather than inhibit, the activity of StAR promoter. Of note, combining high-throughput transcriptomic analysis and quantitative real-time PCR, phosphodiesterase 10A (PDE10A), protein kinase cAMP-dependent type II regulatory subunit alpha (PRKAR2A) and cAMP responsive element modulator (CREM) were identified to exhibit the differential expression patterns consistent with cAMP blocking in granulosa cells from F5-6, F4, and F3, but not F2 and F1 follicles. Afterward, the expression profiles of these genes in granulosa cells of distinct developmental-stage follicles were examined by quantitative real-time PCR, in which all of them expressed correspondingly with progesterone levels of granulosa cells during development. Collectively, these findings indicate that corticosterone can stage-dependently inhibit progesterone production in granulosa cells of chicken preovulatory follicles, through impeding cAMP-induced StAR activity presumptively.

The angiotensin receptor neprilysin inhibitor LCZ696 affords superior cardioprotection and renoprotection compared with renin-angiotensin blockade monotherapy, but the underlying mechanisms remain elusive. Herein, we evaluated whether LCZ696 attenuates renal fibrosis by inhibiting ASK1/JNK/p38 mitogen-activated protein kinase (MAPK)-mediated apoptosis in a rat model of unilateral ureteral obstruction (UUO) and in vitro. Rats with UUO were treated daily for 7 days with LCZ696, valsartan, or the selective ATP competitive inhibitor of apoptosis signal-regulating kinase 1 (ASK1), GS-444217. The effects of LCZ696 on renal injury were examined by assessing the histopathology, oxidative stress, intracellular organelles, apoptotic cell death, and MAPK pathways. H2O2-exposed human kidney 2 (HK-2) cells were also examined. LCZ696 and valsartan treatment significantly attenuated renal fibrosis caused by UUO, and this was paralleled by downregulation of proinflammatory cytokines and decreased inflammatory cell influx. Intriguingly, LCZ696 had stronger effects on renal fibrosis and inflammation than valsartan. UUO-induced oxidative stress triggered mitochondrial destruction and endoplasmic reticulum stress, which resulted in apoptotic cell death; these effects were reversed by LCZ696. Both GS-444217 and LCZ696 hampered the expression of death-associated ASK1/JNK/p38 MAPKs. In H2O2-treated HK-2 cells, LCZ696 and GS-444217 increased cell viability but decreased the production of intracellular reactive oxygen species and MitoSOX and apoptotic cell death. Both agents also deactivated H2O2-stimulated activation of ASK1/JNK/p38 MAPKs. These findings suggest that LCZ696 protects against UUO-induced renal fibrosis by inhibiting ASK1/JNK/p38 MAPK-mediated apoptosis.

With the continuous development of building microgrids, it is crucial to explore and study the energy-saving potential of buildings to resolve energy shortages and environmental protection problems. Therefore, to realize the efficient and economical operation of a building microgrid, a new multi-objective optimization method is proposed for the planning and operation of building microgrid considering virtual energy storage. First, virtual energy storage model of the building microgrid is established based on the heat storage characteristics of the building itself. Second, a multi-objective optimization model of the building microgrid considering virtual energy storage is constructed by considering the investment cost and the comprehensive operation benefits as the objectives as well as the constraints of cooling, heating, power balance. Finally, based on the original gray wolf swarm algorithm, the niche processing mechanism and gray weighted correlation method are introduced to optimize the configuration and operation of the building microgrid. For a typical building microgrid in summer and winter, the simulation results reveal that the proposed method improves the overall economy of planning the building microgrid system and its operation and user experience via virtual energy charge and discharge management.

Objectives Rasmussen’s aneurysm may cause life-threatening hemoptysis. We investigated the clinical characteristics and outcomes of patients with hemoptysis and Rasmussen’s aneurysm. Methods We retrospectively investigated patients who clinically presented with hemoptysis and were diagnosed with a Rasmussen’s aneurysm on spiral chest computed tomography (CT). Results Our study included 16 patients (men:women, 12:4; mean age, 65.25 ± 13.0 years). Massive hemoptysis was observed in nine patients (56%) and blood-tinged sputum in four patients (25%). Ten patients (62.5%) had a history of pulmonary tuberculosis, and three patients (18.7%) had underlying lung cancer. Chest CT revealed coexisting fungal balls in seven patients (43.7%). Bronchial artery embolization (BAE) was performed in 12 patients (75%). One patient died of uncontrolled massive hemoptysis. Conclusions Patients with Rasmussen’s aneurysm showed hemoptysis during the course of the disease; however, bleeding can be controlled with conservative therapy and radiological interventions, such as BAE.

Background/Aims Cigarette smoking is an important modifiable risk factor in kidney disease progression. However, the underlying mechanisms for this are lacking. This study aimed to assess whether nicotine (NIC), a major toxic component of cigarette smoking, would exacerbates tacrolimus (TAC)-induced renal injury. Methods Sprague-Dawley rats were treated daily with NIC, TAC, or both drugs for 4 weeks. The influence of NIC on TAC-caused renal injury was examined via renal function, histopathology, oxidative stress, mitochondria, endoplasmic reticulum (ER) stress, and programmed cell death (apoptosis and autophagy). Results Both NIC and TAC significantly impaired renal function and histopathology, while combined NIC and TAC treatment aggravated these parameters beyond the effects of either alone. Increased oxidative stress, ER stress, mitochondrial dysfunction, proinflammatory and profibrotic cytokine expressions, and programmed cell death from either NIC or TAC were also aggravated by the two combined. Conclusions Our observations suggest that NIC exacerbates chronic TAC nephrotoxicity, implying that smoking cessation may be beneficial for transplant smokers taking TAC.