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Abstract We explored expression and biological roles of collagen type VIII alpha-1 chain (COL8A1) in glioma. Bioinformatics analyses unveiled COL8A1 overexpression within glioma tissues correlates with adverse clinical outcomes of patients. COL8A1 overexpression was also detected in local glioma tissues and various glioma cells. In primary and immortalized glioma cells, COL8A1 shRNA or knockout (KO) reduced cell viability, proliferation and mobility, disrupted cell cycle, and prompted apoptosis. While COL8A1 overexpression augmented the malignant behaviors in glioma cells. COL8A1 shRNA or KO in primary glioma cells decreased phosphorylation of FAK and downstream targets Akt and Erk1/2. Conversely, elevating COL8A1 expression increased their phosphorylations. In vivo experiments confirmed growth inhibition of patient-derived glioma xenografts within the mouse brain following COL8A1 KO. Hindered proliferation, lowered phosphorylation levels of FAK, Akt, and Erk1/2, as well as increased apoptosis were observed within the COL8A1 KO intracranial glioma xenografts. Thus, COL8A1 overexpression promotes glioma cell growth.

In order to explore the feasibility of combining near-infrared (NIR) spectroscopy and deep learning network for quantitative moisture detection, the dried Porphyra was divided into 479 groups, which detected the NIR spectra and moisture content. Four traditional quantitative moisture prediction models and a convolution neural networks (CNN) deep-learning moisture prediction model were finally established at full spectrum by preprocessing and analyzing the experimental data. After comparing the prediction results of the five models, it was found that the CNN model established by the preprocessing method of S-G smoothing combined with the second derivative had the best prediction effect. Its root-mean-square error of prediction (RMSEP) value was 0.456 and the coefficient of determination of prediction (Rp2) value was 0.990. After optimization, the RMSEP value of the model was reduced to 0.342 and the Rp2 value could reach 0.994 (>0.8). At the same time, the ratio of performance to deviation for validation (RPD) was 6.155 (>3), which proved the possibility of practical application of the model in agriculture and food industry. The CNN model could predict the moisture content quickly, accurately, and non-destructive, improve the efficiency and accuracy of moisture detection, and provide an important reference for the quality control of related dry aquatic products.

Abstract The anterior cruciate ligament is anchored to the femur and tibia via specialized interfaces known as entheses. These play a critical role in ligament homeostasis and joint stability by transferring forces, varying in magnitude and direction between structurally and functionally dissimilar tissues. However, the precise structural and mechanical characteristics underlying the femoral and tibial entheses and their intricate interplay remain elusive. In this study, two thin-graduated mineralization regions in the femoral enthesis (~21 μm) and tibial enthesis (~14 μm) are identified, both exhibiting distinct biomolecular compositions and mineral assembly patterns. Notably, the femoral enthesis interface exhibits progressively maturing hydroxyapatites, whereas the mineral at the tibial enthesis interface region transitions from amorphous calcium phosphate to hydroxyapatites with increasing crystallinity. Proteomics results reveal that Matrix Gla protein uniquely enriched at the tibial enthesis interface, may stabilize amorphous calcium phosphate, while C-type lectin domain containing 11 A, enriched at the femoral enthesis interface, could facilitate the interface mineralization. Moreover, the finite element analysis indicates that the femoral enthesis model exhibited higher resistance to shearing, whereas the tibial enthesis model contributes to tensile resistance, suggesting that the discrepancy in biomolecular expression and the corresponding mineral assembly heterogeneities collectively contribute to the superior mechanical properties of both the femoral enthesis and tibial enthesis models. These findings provide novel perspectives on the structure-function relationships of anterior cruciate ligament entheses, paving the way for improved management of anterior cruciate ligament injury and regeneration.

Abstract The contradiction between high piezoelectricity and uniquely poor temperature stability generated by polymorphic phase boundary is a huge obstacle to high-performance (K, Na)NbO3 -based ceramics entering the application market as Pb-based substitutes. We possess the phase boundary by mimicking Pb(Zr, Ti)O3’s morphotropic phase boundary structure via the synergistic optimization of diffusion phase boundary and crystal orientation in 0.94(Na0.56K0.44)NbO3−0.03Bi0.5Na0.5ZrO3−0.03(Bi0.5K0.5)HfO3 textured ceramics. As a result, a prominent comprehensive performance is obtained, including giant d 33 of 550 ± 30 pC/N and ultrahigh temperature stability (d 33 change rate less than 1.2% within 25-150 °C), representing a significant breakthrough in lead-free piezoceramics, even surpassing the Pb-based piezoelectric ceramics. Within the same temperature range, the d 33 change rate of the commercial Pb(Zr, Ti)O3−5 ceramics is only about 10%, and more importantly, its d 33 (~ 350 pC/N) is much lower than that of the (K, Na)NbO3-based ceramics in this work. This study demonstrates a strategy for constructing the phase boundary with MPB feature, settling the problem of temperature instability in (K, Na)NbO3-based ceramics.

Abstract Glioma is a primary brain tumor that grows quickly, has an unfavorable prognosis, and can spread intracerebrally. Glioma cells rely on glucose as the major energy source, and glycolysis plays a critical role in tumorigenesis and progression. Substrate utilization shifts throughout glioma progression to facilitate energy generation and biomass accumulation. This metabolic reprogramming promotes glioma cell proliferation and metastasis and ultimately decreases the efficacy of conventional treatments. Non-coding RNAs (ncRNAs) are involved in several glucose metabolism pathways during tumor initiation and progression. These RNAs influence cell viability and glucose metabolism by modulating the expression of key genes of the glycolytic pathway. They can directly or indirectly affect glycolysis in glioma cells by influencing the transcription and post-transcriptional regulation of oncogenes and suppressor genes. In this review, we discussed the role of ncRNAs in the metabolic reprogramming of glioma cells and tumor microenvironments and their abnormal expression in the glucometabolic pathway in glioma. In addition, we consolidated the existing theoretical knowledge to facilitate the use of this emerging class of biomarkers as biological indicators and potential therapeutic targets for glioma.

Abstract After an RNA polymerase reaches a terminator, instead of dissociating from the template, it may diffuse along the DNA and recommence RNA synthesis from the previous or a different promoter. Magnetic tweezers were used to monitor such secondary transcription and determine the effects of low forces assisting or opposing translocation, protein roadblocks, and transcription factors. Remarkably, up to 50% of Escherichia coli (E. coli) RNA polymerases diffused along the DNA after termination. Force biased the direction of diffusion (sliding) and the velocity increased rapidly with force up to 0.7 pN and much more slowly thereafter. Sigma factor 70 (σ 70) likely remained associated with the DNA promoting sliding and enabling re-initiation from promoters in either orientation. However, deletions of the α-C-terminal domains severely limited the ability of RNAP to turn around between successive rounds of transcription. The addition of elongation factor NusG, which competes with σ 70 for binding to RNAP, limited additional rounds of transcription. Surprisingly, sliding RNA polymerases blocked by a DNA-bound lac repressor could slowly re-initiate transcription and were not affected by NusG, suggesting a σ-independent pathway. Low forces effectively biased promoter selection suggesting a prominent role for topological entanglements that affect RNA polymerase translocation.

Objective: To assess the correlation between atmospheric pollutants, meteorological factors, and emergency department visits for respiratory diseases in Haikou City. Methods: Daily data on atmospheric pollutants, meteorological factors, and emergency department visits for respiratory diseases in Haikou City from 2018 to 2021 were collected. The Spearman rank correlation test was used to analyze the correlation, and a distributed lag non-linear model was employed to analyze the health effects and lag impacts of environmental factors. Subgroup analyses were conducted based on sex and age. Results: According to the criteria of International Classification of Diseases (ICD-10: J00-J99), a total of 221 913 cases were included, accounting for 21.3% of the total emergency department visits in Haikou City. For every 1 °C increase in temperature, the risk of emergency department visits increased by 1.029% (95% CI 1.016%-1.042%). Relative humidity greater than 80% reduced the risk of visits, while higher atmospheric pressure (>1 010 hpa) also decreased the likelihood of daily emergency department visits. Higher concentrations of PM25 (30-50 μg/m3), PM10 (>60 μg/m3), and O3 (75-125 μg/m3) were associated with increased visits. Higher temperatures (>25 °C) have a greater impact on females and children aged 0-14 years, while males are more sensitive to low atmospheric pressure. Individuals aged 65 and above exhibited increased sensitivity to O3 concentration, and the effects of PM2.5, PM10, and O3 are more pronounced in individuals over 14 years old. Conclusions: Short-term exposure to high temperatures, particulate matter pollutants (PM25 and PM10), and ozone (O3) is associated with increased emergency department visits for respiratory diseases.

Abstract Background Fibrosis is a significant pathological feature of chronic skeletal muscle injury, profoundly affecting muscle regeneration. Fibro-adipogenic progenitors (FAPs) have the ability to differentiate into myofibroblasts, acting as a primary source of extracellular matrix (ECM). the process by which FAPs differentiate into myofibroblasts during chronic skeletal muscle injury remains inadequately explored. Method mouse model with sciatic nerve denervated was constructed and miRNA expression profiles between the mouse model and uninjured mouse were analyzed. qRT/PCR and immunofluorescence elucidated the effect of miR-27b-3p on fibrosis in vivo and in vitro. Dual-luciferase reporter identified the target gene of miR-27b-3p, and finally knocked down or overexpressed the target gene and phosphorylation inhibition of Smad verified the influence of downstream molecules on the abundance of miR-27b-3p and fibrogenic differentiation of FAPs. Result FAPs derived from a mouse model with sciatic nerves denervated exhibited a progressively worsening fibrotic phenotype over time. Introducing agomiR-27b-3p effectively suppressed fibrosis both in vitro and in vivo. MiR-27b-3p targeted Transforming Growth Factor Beta Receptor 1 (TGF-βR1) and the abundance of miR-27b-3p was negatively regulated by TGF-βR1/Smad. Conclusion miR-27b-3p targeting the TGF-βR1/Smad pathway is a novel mechanism for regulating fibrogenic differentiation of FAPs. Increasing abundance of miR-27b-3p, suppressing expression of TGF-βR1 and inhibiting phosphorylation of smad3 presented potential strategies for treating fibrosis in chronic skeletal muscle injury.

Meniscus injury is one of the most common sports injuries within the knee joint, which is also a crucial pathogenic factor for osteoarthritis (OA). The current meniscus substitution products are far from able to restore meniscal biofunctions due to the inability to reconstruct the gradient heterogeneity of natural meniscus from biological and biomechanical perspectives. Here, inspired by the topology self-induced effect and native meniscus microstructure, we present an innovative tissue-engineered meniscus (TEM) with a unique gradient-sized diamond-pored microstructure (GSDP-TEM) through dual-stage temperature control 3D-printing system based on the mechanical/biocompatibility compatible high Mw poly(ε-caprolactone) (PCL). Biologically, the unique gradient microtopology allows the seeded mesenchymal stem cells with spatially heterogeneous differentiation, triggering gradient transition of the extracellular matrix (ECM) from the inside out. Biomechanically, GSDP-TEM presents excellent circumferential tensile modulus and load transmission ability similar to the natural meniscus. After implantation in rabbit knee, GSDP-TEM induces the regeneration of biomimetic heterogeneous neomeniscus and efficiently alleviates joint degeneration. This study provides an innovative strategy for functional meniscus reconstruction. Topological self-induced cell differentiation and biomechanical property also provides a simple and effective solution for other complex heterogeneous structure reconstructions in the human body and possesses high clinical translational potential.

With inspiration from natural systems, various soft actuators and robots have been explored in recent years with versatile applications in biomedical and engineering fields. Soft active materials with rich stimulus-responsive characteristics have been an ideal candidate to devise these soft machines by using different manufacturing technologies. Among these technologies, three-dimensional (3D) printing shows advantages in fabricating constructs with multiple materials and sophisticated architectures. In this Review, we aim to provide an overview of recent progress on 3D printing of soft materials, robotics performances, and representative applications. Typical 3D printing techniques are briefly introduced, followed by state-of-the-art advances in 3D printing of hydrogels, shape memory polymers, liquid crystalline elastomers, and their hybrids as soft actuators and robots. From the perspective of material properties, the commonly used printing techniques and action-generation principles for typical printed constructs are discussed. Actuation performances, locomotive behaviors, and representative applications of printed soft materials are summarized. The relationship between printing structures and action performances of soft actuators and robots is also briefly discussed. Finally, the advantages and limitations of each soft material are compared, and the remaining challenges and future directions in this field are prospected.

Abstract RNA polymerases must transit through protein roadblocks to produce full-length transcripts. Here we report real-time measurements of Escherichia coli RNA polymerase passing through different barriers. As intuitively expected, assisting forces facilitated, and opposing forces hindered, RNA polymerase passage through lac repressor protein bound to natural binding sites. Force-dependent differences were significant at magnitudes as low as 0.2 pN and were abolished in the presence of the transcript cleavage factor GreA, which rescues backtracked RNA polymerase. In stark contrast, opposing forces promoted passage when the rate of RNA polymerase backtracking was comparable to, or faster than the rate of dissociation of the roadblock, particularly in the presence of GreA. Our experiments and simulations indicate that RNA polymerase may transit after roadblocks dissociate, or undergo cycles of backtracking, recovery, and ramming into roadblocks to pass through. We propose that such reciprocating motion also enables RNA polymerase to break protein-DNA contacts that hold RNA polymerase back during promoter escape and RNA chain elongation. This may facilitate productive transcription in vivo.

Abstract Nowadays, the digital development of marine ranching requires a communication system with wide coverage, high transmission rate and stable communication links. It is known that fixed‐wing unmanned aerial vehicles (UAVs) have great advantages in long‐range applications. They have the potential to serve as low‐altitude communication platforms for maritime communication. In this study, with a developmental perspective, considering the intense growth of marine terminals in the future, a new clustering algorithm applied to cluster nonorthogonal multiple access (C‐NOMA) is proposed and its advantages are investigated. In addition, considering the limited energy of marine terminals, combining the wireless power communication (WPC) technology for the UAV to charge terminals, the charging and communication time are optimized with the Lagrange multiplier method and the bisection search method. After completing the above optimization content of charging and communication, combined with the optimization results, it is found the trajectory that maximizes the energy efficiency of the UAV with the convex optimization technique. Experimental results show that the proposed clustering algorithm has good throughput performance, better fairness and lower algorithm complexity, and the proposed trajectory optimization scheme has better energy efficiency.

Abstract The development of high-performance lead-free K0.5Na0.5NbO3-based piezoceramics for replacing commercial lead-containing counterparts is crucial for achieving environmentally sustainable society. Although the proposed new phase boundaries (NPB) can effectively improve the piezoelectricity of KNN-based ceramics, the difficulty of achieving saturated poling and the underlying multiscale structures resolution of their complex microstructures are urgent issues. Here, we employ a medium entropy strategy to design NPB and utilize texture engineering to induce crystal orientation. The developed K0.5Na0.5NbO3-based ceramics enjoys both prominent piezoelectric performance and satisfactory Curie temperature, thus exhibiting an ultrahigh energy harvesting performance as well as excellent transducer performance, which is highly competitive in both lead-free and lead-based piezoceramics. Comprehensive structural analysis have ascertained that the field-induced efficient multiscale polarization configurations irreversible transitions greatly encourages high saturated poling. This study demonstrates a strategy for designing high-performance piezoceramics and establishes a close correlation between the piezoelectricty and the underlying multiscale structures.

Acute hepatopancreatic necrosis disease (AHPND), caused by certain strains of Vibrio, has resulted in substantial economic losses in global shrimp industries. Hence, developing effective and sustainable alternatives to antibiotics to control this disease is of profound importance. In this study, we isolated a strain of antagonistic bacterium, JSHY-K3, from shrimp pond sediment, evaluated its efficacy in preventing AHPND in shrimp and tentatively investigated its mechanism of defence and control against AHPND. The isolated strain exhibited strong antagonistic activity against Vibrio parahaemolyticus, the etiological agent of AHPND (VpAHPND) harboring toxin genes pirA and pirB. JSHY-K3 was identified as B. subtilis based on its morphological, physiological, biochemical characteristics and 16 S rDNA sequence analysis. In vivo challenge assays demonstrated that JSHY-K3 could significantly mitigate cumulative mortality of shrimps infected with VpAHPND, suppress the expression of VpAHPND virulence genes and modulate shrimp immune responses. To elucidate the mechanistic basis of JSHY-K3 in preventing and controlling AHPND, whole-genome sequencing and untargeted metabolomics-LCMS-EMDB analyses were conducted. Whole-genome analysis revealed 12 gene clusters involved in synthesizing of secondary metabolites including the bacteriostatic agents surfactin, aurantinin B/C/D, fengycin, sublancin 168, bacillibactin, subtilosin A and bacilysin. Untargeted metabolomics uncovered 3691 known metabolites, with caffeic acid, fosfomycin, minocycline and surfactin A documented as V. parahaemolyticus growth inhibitors. We hypothesize that the production of these bacteriostatic metabolites by JSHY-K3 underlies its antagonistic effects against VpAHPND. Collectively, these findings suggest B. subtilis JSHY-K3 could be applied as a probiotic to prevent AHPND in shrimp aquaculture.

Abstract In the rapidly advancing field of information technology, passive sensors with the exemption of external power input can serve as intelligent instruments for end‐node data acquisition. 3D perovskites have been recognized as a superior optoelectronic material but suffering from notorious instability due to their “soft lattice” nature. Replacing by their 2D counterparts in these photo‐sensing applications can boost the reliability level. However, traditional fabrication for 2D perovskite relay on wet chemistry methods, exhibiting complication, and inefficiency in making high‐quality films for device integration. This study unveils a new solid–solid conversion routing toward a direct transformation from 3D orientated films into 2D highly crystalline configuration, based on a spontaneous lattice regulation mechanism through an amine steam treatment. The resultant 2D film exhibits greater orientational micromorphology and a distinct monochromatic narrowband light sensing behavior after integration into a self‐powered photodetector. This method on perovskite conversion bears the promise of advanced future‐manufacturing for high‐performance photonic sensing.

Directional cell migration is a crucial step in wound healing, influenced by electrical and topographic stimulations. However, the underlying mechanism and the combined effects of these two factors on cell migration remain unclear. This study explores cell migration under various combinations of guided straight line (SL) spacing, conductivity, and the relative direction of electric field (EF) and SL. Electrowriting is employed to fabricate conductive (multiwalled carbon nanotube/polycaprolactone (PCL)) and nonconductive (PCL) SL, with narrow (50 μm) and wide (400 μm) spacing that controls the topographic stimulation strength. Results show that various combinations of electrical and topographic stimulation yield significantly distinct effects on cell migration direction and speed; cells migrate fastest with the most directivity in the case of conductive, narrow-spacing SL parallel to EF. A physical model based on intercellular interactions is developed to capture the underlying mechanism of cell migration under SL and EF stimulations, in agreement with experimental observations. In vivo skin wound healing assay further confirmed that the combination of EF (1 V cm−1) and parallelly aligned conductive fibers accelerated the wound healing process. This study presents a promising approach to direct cell migration and enhance wound healing by optimizing synergistic electrical and topographic stimulations.

Unmanned Aerial Vehicle (UAV) can be used as wireless aerial mobile base station for collecting data from sensors in UAV-based Wireless Sensor Networks (WSNs), which is crucial for providing seamless services and improving the performance in the next generation wireless networks. However, since the UAV are powered by batteries with limited energy capacity, the UAV cannot complete data collection tasks of all sensors without energy replenishment when a large number of sensors are deployed over large monitoring areas. To overcome this problem, we study the Real-time Data Collection with Laser-charging UAV (RDCL) problem, where the UAV is utilized to collect data from a specified WSN and is recharged using Laser Beam Directors (LBDs). This problem aims to collect all sensory data from the WSN and transport it to the base station by optimizing the flight trajectory of UAV such that real-time data performance is ensured It has been proven that the RDCL problem is NP-hard. To address this, we initially focus on studying two sub-problems, the Trajectory Optimization of UAV for Data Collection (TODC) problem and the Charging Trajectory Optimization of UAV (CTO) problem, whose objectives are to find the optimal flight plans of UAV in the data collection areas and charging areas, respectively. Then we propose an approximation algorithm to solve each of them with the constant factor. Subsequently, we present an approximation algorithm that utilizes the solutions obtained from TODC and CTO problems to address the RDCL problem. Finally, the proposed algorithm is verified by extensive simulations.

Abstract Biological molecule-semiconductor interfacing has triggered numerous opportunities in applied physics such as bio-assisted data storage and computation, brain-computer interface, and advanced distributed bio-sensing. The introduction of electronics into biological embodiment is being quickly developed as it has great potential in providing adaptivity and improving functionality. Reciprocally, introducing biomaterials into semiconductors to manifest bio-mimetic functionality is impactful in triggering new enhanced mechanisms. In this study, we utilize the vulnerable perovskite semiconductors as a platform to understand if certain types of biomolecules can regulate the lattice and endow a unique mechanism for stabilizing the metastable perovskite lattice. Three tiers of biomolecules have been systematically tested and the results reveal a fundamental mechanism for the formation of a “reverse-micelle” structure. Systematic exploration of a large set of biomolecules led to the discovery of guiding principle for down-selection of biomolecules which extends the classic emulsion theory to this hybrid systems. Results demonstrate that by introducing biomaterials into semiconductors, natural phenomena typically observed in biological systems can also be incorporated into semiconducting crystals, providing a new perspective to engineer existing synthetic materials.

Sepsis is a multi-organ dysfunction characterized by an unregulated host response to infection. It is associated with high morbidity, rapid disease progression, and high mortality. Current therapies mainly focus on symptomatic treatment, such as blood volume supplementation and antibiotic use, but their effectiveness is limited. Th17/Treg balance, based on its inflammatory property, plays a crucial role in determining the direction of the inflammatory response and the regression of organ damage in sepsis patients. This review provides a summary of the changes in T-helper (Th) 17 cell and regulatory T (Treg) cell differentiation and function during sepsis, the heterogeneity of Th17/Treg balance in the inflammatory response, and the relationship between Th17/Treg balance and organ damage. Th17/Treg balance exerts significant control over the bloom and wanes in host inflammatory response throughout sepsis.

Summary: Infection of mice by mouse cytomegalovirus (MCMV) triggers activation and expansion of Ly49H+ natural killer (NK) cells, which are virus specific and considered to be “adaptive” or “memory” NK cells. Here, we find that signaling lymphocytic activation molecule family receptors (SFRs), a group of hematopoietic cell-restricted receptors, are essential for the expansion of Ly49H+ NK cells after MCMV infection. This activity is largely mediated by CD48, an SFR broadly expressed on NK cells and displaying augmented expression after MCMV infection. It is also dependent on the CD48 counter-receptor, 2B4, expressed on host macrophages. The 2B4-CD48 axis promotes expansion of Ly49H+ NK cells by repressing their phagocytosis by virus-activated macrophages through inhibition of the pro-phagocytic integrin lymphocyte function-associated antigen-1 (LFA-1) on macrophages. These data identify key roles of macrophages and the 2B4-CD48 pathway in controlling the expansion of adaptive NK cells following MCMV infection. Stimulation of the 2B4-CD48 axis may be helpful in enhancing adaptive NK cell responses for therapeutic purposes.

Autonomous vehicles in industrial parks can provide intelligent, efficient, and environmentally friendly transportation services, making them crucial tools for solving internal transportation issues. Considering the characteristics of industrial park scenarios and limited resources, designing and implementing autonomous driving solutions for autonomous vehicles in these areas has become a research hotspot. This paper proposes an efficient autonomous driving solution based on path planning, target recognition, and driving decision-making as its core components. Detailed designs for path planning, lane positioning, driving decision-making, and anti-collision algorithms are presented. Performance analysis and experimental validation of the proposed solution demonstrate its effectiveness in meeting the autonomous driving needs within resource-constrained environments in industrial parks. This solution provides important references for enhancing the performance of autonomous vehicles in these areas.

Summary: Here, we present a protocol for rapidly isolating single cells from the mouse pancreas, minimizing damage caused by digestive enzymes in exocrine cells. We guide you through steps to optimize the dissection sequence, enzyme composition, and operational procedures, resulting in high yields of viable pancreatic single cells. This protocol can be applied across a wide range of research areas, including single-cell sequencing, gene expression profiling, primary cell culture, and even the development of spheroids or organoids.For complete details on the use and execution of this protocol, please refer to Jiang et al. (2023).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.

Methanol is a promising one-carbon feedstock for biomanufacturing, which can be sustainably produced from carbon dioxide and natural gas. However, the efficiency of methanol bioconversion is limited by the poor catalytic properties of nicotinamide adenine dinucleotide (NAD+)-dependent methanol dehydrogenase (Mdh) that oxidizes methanol to formaldehyde. Herein, the neutrophilic and mesophilic NAD+-dependent Mdh from Bacillus stearothermophilus DSM 2334 (MdhBs) was subjected to directed evolution for enhancing the catalytic activity. The combination of formaldehyde biosensor and Nash assay allowed high-throughput and accurate measurement of formaldehyde and facilitated efficient selection of desired variants. MdhBs variants with up to 6.5-fold higher Kcat/KM value for methanol were screened from random mutation libraries. The T153 residue that is spatially proximal to the substrate binding pocket has significant influence on enzyme activity. The beneficial T153P mutation changes the interaction network of this residue and breaks the α-helix important for substrate binding into two short α-helices. Reconstructing the interaction network of T153 with surrounding residues may represent a promising strategy to further improve MdhBs, and this study provides an efficient strategy for directed evolution of Mdh.

Abstract In this paper, a superior damping coating was prepared, which can be easily sprayed onto the samples, showing a promising application in the vibration reduction for aircraft. This paper aims to investigate the effect of filler content, size and coating thickness on the damping properties of aluminum flake samples. It is found that the vibration of the sample is significantly suppressed with the vibration reduction rate of the coating reaching 63.23%. Moreover, the damping ratio of the coating was calculated using the half-power bandwidth method, based on which the finite element simulation model was established. The simulation results are in perfect agreement with the test ones, and the maximum vibration amplitude error stayed within 9.06%. These results fully demonstrated the effectiveness and practicality of the damping coating.

Abstract Background Osteoarthritis (OA), in which macrophage-driven synovitis is considered closely related to cartilage destruction and could occur at any stage, is an inflammatory arthritis. However, there are no effective targets to cure the progression of OA. The NOD-, LRR-,and pyrin domain-containing protein 3 (NLRP3) inflammasome in synovial macrophages participates in the pathological inflammatory process and treatment strategies targeting it are considered to be an effective approach for OA. PIM-1 kinase, as a downstream effector of many cytokine signaling pathways, plays a pro-inflammatory role in inflammatory disease. Methods In this study, we evaluated the expression of the PIM-1 and the infiltration of synovial macrophages in the human OA synovium. The effects and mechanism of PIM-1 were investigated in mice and human macrophages stimulated by lipopolysaccharide (LPS) and different agonists such as nigericin, ATP, Monosodium urate (MSU), and Aluminum salt (Alum). The protective effects on chondrocytes were assessed by a modified co-culture system induced by macrophage condition medium (CM). The therapeutic effect in vivo was confirmed by the medial meniscus (DMM)-induced OA in mice. Results The expression of PIM-1 was increased in the human OA synovium which was accompanied by the infiltration of synovial macrophages. In vitro experiments, suppression of PIM-1 by SMI-4a, a specific inhibitor, rapidly inhibited the NLRP3 inflammasome activation in mice and human macrophages and gasdermin-D (GSDME)-mediated pyroptosis. Furthermore, PIM-1 inhibition specifically blocked the apoptosis-associated speck-like protein containing a CARD (ASC) oligomerization in the assembly stage. Mechanistically, PIM-1 inhibition alleviated the mitochondrial reactive oxygen species (ROS)/chloride intracellular channel proteins (CLICs)-dependent Cl− efflux signaling pathway, which eventually resulted in the blockade of the ASC oligomerization and NLRP3 inflammasome activation. Furthermore, PIM-1 suppression showed chondroprotective effects in the modified co-culture system. Finally, SMI-4a significantly suppressed the expression of PIM-1 in the synovium and reduced the synovitis scores and the Osteoarthritis Research Society International (OARSI) score in the DMM-induced OA model. Conclusions Therefore, PIM-1 represented a new class of promising targets as a treatment of OA to target these mechanisms in macrophages and widened the road to therapeutic strategies for OA.

A copper-assisted spheroidization method was developed for preparing spherical intermetallic compound TiAl powder. By introducing copper into TiAl alloy, the brittle L21 Heusler structure TiAlCu2 alloy with low melting point (1050 °C) was produced. After preparing the spherical TiAlCu2 powder through solid–liquid interface de-wetting method, the porous TiAl alloy sphere with atomic ratio about 1:1 was prepared by dealloying the Cu element. Finally, the spherical TiAl alloy powder was prepared by sintering and deoxygenation. Compared with the current mature technology for preparing the spherical TiAl alloy powder, the size distribution of spherical particles can be easily regulated, which can meet the requirements for high-quality additive manufacturing technology. We believe that this method provides a new idea for preparing the spherical TiAl alloy powder and other spherical porous alloys.

Litopenaeus vannamei represents the most cultivated crustacean species, accounting for approximately 80% of global shrimp aquaculture output. The intestinal microbiota structure and functionality are known to critically influence L. vannamei growth. While previous investigations of shrimp gut microbes emphasized the whole intestine, limited research has examined the composition and functional differences of microbiota across specific intestinal sections in L. vannamei. In this study, healthy shrimp samples were collected and divided into four sections after removing the contents: S(stomach), H (from posterior stomach to the distal end of the hepatopancreas.), G (the section from hepatopancreas’s end to the sixth abdominal segment), and R(rectum). The microbial composition and function were analyzed across locations via 16 S rRNA high-throughput sequencing. The results revealed that significant α- and β-diversity distinctions existed between sections (p 10%) across sections. The rectum pathways including carbon, nitrogen, sulfur metabolisms were significantly elevated. Quorum sensing and two-component systems were also overrepresented in rectum. One-way network analysis showed that the dominant microbiota of group S, H and G were Bacillus, Mycoplasmataceae, and Flavobacterium, which are promoters of beneficial bacteria in the gut, while the dominant flora of rectumthe most competitive genus of bacteria in the intestinal tract was Vibrio,and Pseudofulvibacter, Alcaligenaceae, and Pseudomonas represent potential probiotic genera that could be screened as antagonists against Vibrio in the shrimp gut. In summary, we hypothesize the stomach and H sections degraded organic matter, G section absorbed and digested macronutrients, and rectum section recycled materials and participated in circular metabolism. These segment-specific analyses provide novel perspectives into section-specific microbial interactions and functions along L. vannamei intestine.

ABSTRACT Cryptococcus gattii (C. gattii) is emerging as a life-threatening fungus worldwide. However, few data were available in China. In this study, 27 isolates and 32 patient information were collected from several hospitals in China, together with previously reported data (80 cases), to describe the geographic distribution of C. gattii. Molecular identification and genetic diversity analysis of the isolates were conducted using multilocus sequence typing, while the microbiological and virulence characteristics were explored through in vitro phenotypic tests and in vivo animal experiments. The findings revealed that patients infected with C. gattii were mainly immunocompetent males, with most showing symptoms of central nervous system involvement. Isolated strains were predominantly distributed in tropical and subtropical regions, with VGI genotype predominance. These strains exhibited marked genetic diversity, identifying 25 distinct sequence types (STs) among the 57 isolates (available data), including three novel STs (ST565, ST567, and ST568). In vitro assays unveiled significant differences between VGI and VGII in growth capacity at 39°C, capsule diameter, melanin production, UV resistance, and antioxidative capacity, with VGII displaying greater resilience. Integrating animal experiments and clinical prognosis showed that pathogenicity did not directly correlate with in vitro virulence phenotypes or molecular genotypes, underscoring virulence’s complexity. Furthermore, histopathological analysis suggested that lung tissue damage might primarily contribute to mouse mortality, particularly with more pathogenic strains causing extensive lung tissue damage. Our study has the potential to provide valuable data for a comprehensive understanding of the microbiological characteristics of C. gattii in China. IMPORTANCE Our study indicates that the molecular typing of Cryptococcus gattii is unrelated to virulence. The integration of animal experiments and clinical prognosis demonstrated that pathogenicity did not exhibit a direct correlation with in vitro virulence phenotypes or molecular genotypes, emphasizing the intricate nature of virulence. In conclusion, our research holds the potential to provide valuable insights into understanding the microbiological attributes of C. gattii in China.

ObjectiveTo estimate postmortem interval （PMI） by analyzing the protein changes in skeletal muscle tissues with the protein chip technology combined with multivariate analysis methods.MethodsRats were sacrificed for cervical dislocation and placed at 16 ℃. Water-soluble proteins in skeletal muscles were extracted at 10 time points （0 d, 1 d, 2 d, 3 d, 4 d, 5 d, 6 d, 7 d, 8 d and 9 d） after death. Protein expression profile data with relative molecular mass of 14 000-230 000 were obtained. Principal component analysis （PCA） and orthogonal partial least squares （OPLS） were used for data analysis. Fisher discriminant model and back propagation （BP） neural network model were constructed to classify and preliminarily estimate the PMI. In addition, the protein expression profiles data of human skeletal muscles at different time points after death were collected, and the relationship between them and PMI was analyzed by heat map and cluster analysis.ResultsThe protein peak of rat skeletal muscle changed with PMI. The result of PCA combined with OPLS discriminant analysis showed statistical significance in groups with different time points （P

BACKGROUND Heavy metal pollution in the soil of mining areas is a serious threat to the ecological environment and the health of surrounding residents, and it is of great significance to effectively supervise it. The Xishimen iron deposit in Hebei Province is a large magnetite deposit in the Hanxing area. Comprehensive research on soil heavy metal pollution in this mining area is urgently needed. OBJECTIVES To evaluate soil heavy metal pollution in the Xishimen iron mining area in Hebei Province. METHODS The No.1 mining area of the Xishimen iron deposit was selected as the research object. ICP-MS was used to determine the heavy metal content. The exceedance rate, pollution sources and spatial distribution characteristics of heavy metals were obtained by descriptive statistical analysis, multivariate statistical analysis and spatial interpolation analysis, and the pollution risk was evaluated by combining the single factor pollution index, Nemero comprehensive pollution index and potential ecological hazard index. RESULTS Descriptive statistical analysis showed that the exceedance rate of Co in the mining area was 75.83%, indicating heavy pollution, while the exceedance rates of Cu, Cd and As were 14.70%, 21.40% and 13.29%, indicating moderate to light pollution. The exceedance rates of Cr, Ni, Zn, Pb and Hg were less than 5%, which were light pollution. The multivariate statistical analysis showed that Cr, Ni, Zn, Cd, As and Pb were from the natural weathering environmental pollution in the mineralized area, and Co and Cu were from the anthropogenic environmental pollution caused by mining production and fertilizer use. Hg came from the local pollution caused by human factors. Spatial interpolation analysis showed that the nine heavy metals had a high distribution in the open pit mining area on both sides of the Mahui River and a low distribution in the rivers and residential areas. The Nemero comprehensive pollution index of heavy metals in the study area was 13.49, and the comprehensive ecological risk index was 55.50. CONCLUSIONS The results indicate that there is Hg, Co, and Cu pollution caused by human factors in the mining area, which needs to be addressed. The heavy metal pollution in this area is serious but the ecological risk is still in a controllable range.

The mechanical characteristics of wood members in a fire are reduced as a result of strength loss of the outermost charring layer and strength reduction of the secondary outer layer in high temperature zones. The charring layer has strong oxygen isolation effects. The main mechanical characteristics of larch wood, including modulus of elasticity (MOE), parallel-to-grain compressive (fc), tensile (ft), bending strengths (fb), and ductility coefficient, were determined under oxygen-free conditions at higher temperatures. Fourier transform-infrared (FT-IR) and scanning electron microscopies (SEM) were used to analyze chemical composition and microscopic changes of wood. The results suggested that hemicellulose softening resulted in decreases in mechanical properties of wood between 20 and 70 °C. From 70 to 190 °C, FT-IR spectroscopy provided evidence that increases in MOE and fc, with relatively minor changes in fb and ft, were associated with cellulose crystallinity and lignin cross-linking/condensation. The use of SEM further indicated degradation of wood composition.

Circular RNAs (circRNAs) are important non-coding RNAs (ncRNAs) involved in the development of multiple human diseases, especially cancers. circRNA_0084043 is significantly involved in the progression of melanoma. However, whether circRNA_0084043 is associated with glioma remains unknown. In this study, the upregulation of circRNA_0084043 in glioma and the association between circRNA_0084043 and glioma grade were identified. Our results showed that circRNA_0084043 is significantly involved in the proliferative, migratory, and invasive capacities of glioma cells. The results obtained from starBase, luciferase reporter assays, RNA immunoprecipitation assays, and RNA pull-down assays demonstrated that circRNA_0084043 acts as a direct sponge for miR-577. TargetScan algorithm was used to identify potential miR-577 targets, it was found that sorting nexin 5 (SNX5) is a candidate bound to miR-577. Finally, cell experiments testified that circRNA_0084043 enhanced growth, migration and invasion of glioma through the regulation of miR-577-mediated SNX5. Taken together, we concluded that circRNA_0084043 in the miR-577/SNX5 axis can be used as a candidate target for glioma therapy.

McCulloch-Pitts neuron-based neural networks have been the mainstream deep learning methods, achieving breakthrough in various real-world applications. However, McCulloch-Pitts neuron is also under longtime criticism of being overly simplistic. To alleviate this issue, the dendritic neuron model (DNM), which employs non-linear information processing capabilities of dendrites, has been widely used for prediction and classification tasks. In this study, we innovatively propose a hybrid approach to co-evolve DNM in contrast to back propagation (BP) techniques, which are sensitive to initial circumstances and readily fall into local minima. The whale optimization algorithm is improved by spherical search learning to perform co-evolution through dynamic hybridizing. Eleven classification datasets were selected from the well-known UCI Machine Learning Repository. Its efficiency in our model was verified by statistical analysis of convergence speed and Wilcoxon sign-rank tests, with receiver operating characteristic curves and the calculation of area under the curve. In terms of classification accuracy, the proposed co-evolution method beats 10 existing cutting-edge non-BP methods and BP, suggesting that well-learned DNMs are computationally significantly more potent than conventional McCulloch-Pitts types and can be employed as the building blocks for the next-generation deep learning methods.

Donnan electrical potential is widely adopted to describe ion distribution between two solutions separated by a permeable membrane with implications for many chemical and biological systems. Aydogan Gokturk et al. directly measures this potential for the first time and compare the data with theoretical models.

Given the link between perceptions of zoonotic risk and support for regulations such as wildlife consumption bans, debates regarding the origins of COVID-19 are likely to have conservation implications. Specifically, alternative hypotheses that cast doubt on COVID-19’s zoonotic origins could potentially lessen momentum for China’s wildlife policy reforms and their associated conservation impacts. To better understand the impact of COVID-19 origin debates on China’s wildlife policies, we conducted a 974-respondent survey across mainland China, supplemented by policy and media reviews. We examined perceptions of three facets of COVID-19 origins: geographic location, source (e.g., wildlife farm, wet market, etc.), and specific wildlife species as transmitters. Our findings reveal that 64.6 % of respondents believed COVID-19 originated in the United States or Europe, not in China. Further, compared to the baseline group of respondents who selected China as the origin country, respondents who selected the United States or Europe as the origin had a greater likelihood of selecting laboratories/research and imported frozen foods as likely sources, while these respondents had a lower likelihood of selecting wild animals in a wet market or natural causes as likely sources. Despite such varied beliefs regarding COVID-19 origins, support for wildlife policy reforms was strong: 89.5 % of respondents who previously consumed wildlife self-indicated reduced consumption after the pandemic and 70.5 % of respondents supported banning the trade of all wildlife species. Moreover, those respondents who selected wild animals in a wet market as a likely source of COVID-19 had a greater likelihood of supporting a trade ban on all wild-caught wildlife and all farmed wildlife. Our results indicate that, although investigation of COVID-19’s origins is on-going and politicized, there is clear support for wildlife reforms in China that can promote conservation outcomes.

ObjectiveTo investigate the effects of injury time, postmortem interval （PMI） and postmortem storage temperature on mRNA expression of glycoprotein non-metastatic melanoma protein B （Gpnmb）, and to establish a linear regression model between Gpnmb mRNA expression and injury time, to provide aimed at providing potential indexes for injury time estimation.MethodsTest group SD rats were anesthetized and subjected to blunt contusion and randomly divided into 0 h, 4 h, 8 h, 12 h, 16 h, 20 h and 24 h groups after injury, with 18 rats in each group. After cervical dislocation, 6 rats in each group were collected and stored at 0 ℃, 16 ℃ and 26 ℃, respectively. The muscle tissue samples of quadriceps femoris injury were collected at 0 h, 12 h and 24 h postmortem at the same temperature. The grouping method and treatment method of the rats in the validation group were the same as above. The expression of Gpnmb mRNA in rat skeletal muscle was detected by RT-qPCR. The Pearson correlation coefficient was used to evaluate the correlation between Gpnmb mRNA expression and injury time, PMI, and postmortem storage temperature. SPSS 25.0 software was used to construct a linear regression model, and the validation group data was used for the back-substitution test.ResultsThe expression of Gpnmb mRNA continued to increase with the prolongation of injury time, and the expression level was highly correlated with injury time （P0.05）. The linear regression equation between injury time （y） and Gpnmb mRNA relative expression （x） was y=0.611 x+4.489. The back-substitution test proved that the prediction of the model was accurate.ConclusionThe expression of Gpnmb mRNA is almost not affected by the PMI and postmortem storage temperature, but is mainly related to the time of injury. Therefore, a linear regression model can be established to infer the time of injury.

Abstract Objective Tertiary lymphoid structures (TLSs) are found in a variety of malignancies and affect the growth of tumors, but few studies have addressed their role in lung adenocarcinoma (LAC). We aimed to evaluate clinical features associated with TLSs in patients with LAC. Methods and Materials A collection of resected pulmonary nodules in patients with LAC was retrospectively analyzed. TLSs were quantified by their number per square millimeter tumor area (density) and by the degree of lymphocyte aggregation (maturity) in each case. The correlation between TLS density and maturity and clinical features was calculated. Results A total of 243 patients were selected, of whom 219 exhibited TLSs. The occurrence of TLSs was correlated with computed tomography (CT) features as follows: pure ground‐glass nodules (pGGNs) (n = 43) was associated with a lower occurrence rate than part‐solid nodules (PSNs) (n = 112) and solid nodules (SNs) were (n = 88) (p = 0.037). TLS density was correlated with age and CT features. Poisson regression showed higher TLS density in PSNs and SNs than in pGGNs (incidence rate ratio [IRR]: 3.137; 95% confidence interval [CI]: 1.35–7.27; p = 0.008 and IRR: 2.44; 95% CI: 1.02–5.85; p = 0.046, respectively). In addition, TLS density was higher in patients aged under 60 years than in those aged over 60 years (IRR: 0.605; 95% CI: 0.4–0.92; p = 0.018). The maturity of TLSs was higher in patients with higher tumor stages (p = 0.026). Conclusions We demonstrated distinct profiles of TLSs in early LAC and their correlations with CT features, age, and tumor stages, which could help understand tumor progression and management.

Abstract Liquid metal is an ideal conductive material for soft electronics because of its high conductivity and fluidity at room temperature. However, the large surface tension and high mass density of liquid metal make forming three-dimensional (3D) dangling structures a challenging task. Reported here is a suspension printing strategy for direct deposition of galinstan-based liquid metal into 3D dangling structures with high shape fidelity and spatial resolution (~150 μm). Acrylamide/nanoclay suspension served as a yield-stress fluid support bath, with selected hydrogen peroxide to immediately oxidize the gallium skin and strengthen the extruded liquid metal, thus continuous liquid metal filaments were deposited successfully. The subsequent photo-curing of acrylamide/nanoclay works as a resilient outer packaging, giving rise to a ~500% tensile deformation for liquid metal-hydrogel composite. This suspension printing strategy should broaden the opportunity of using 3D and functional liquid metal constructs for soft yet resilient electromagnetic devices.

ABSTRACT: Evaluating velocity-porosity relationships of hydrate-bearing marine sediments is essential for characterizing natural gas hydrates below seafloor as either a potential energy resource or geohazards risks. Four sites had cored using pressure and non-pressure methods during the gas hydrates drilling project (GMGS4) expedition at Shenhu Area, north slope of the South China Sea. Sediments were cored above, below, and through the gas-hydrate-bearing zone guided with logging-while-drilling analysis results. Gamma density and P-wave velocity were measured in each pressure core before subsampling. Methane hydrates volumes in total 62 samples were calculated from the moles of excess methane collected during depressurization experiments. The concentration of methane hydrates ranged from 0.3% to 32.3%. The concentrations of pore fluid (25.44% to 68.82%) and sediments (23.63% to 54.28%) were calculated from the gamma density. The regression models of P-wave velocity were derived and compared with a global empirical equation derived from shallow, unconsolidated sediments data. The results were close to the global trend when the fluid concentration is larger than the critical porosity. It is concluded that the dominant factor of P-wave velocity in hydrate-bearing marine sediments is the presence of the hydrate. Methane hydrates can reduce the fluid concentration by discharging the pore fluid and occupying the original pore space of sediments after its formation.©2022 China Geology Editorial Office.

Abstract Myocardial regeneration has been considered a promising option for the treatment of adult myocardial injuries. Previously, a chick early amniotic fluid (ceAF) preparation was shown to contain growth-related factors that promoted embryonic growth and cellular proliferation, though the nature of the components within ceAF were not fully defined. Here we tested whether this ceAF preparation is similarly effective in the promotion of myocardial regeneration, which could provide an alternative therapeutic for intervening myocardial injury. In this study, a myocardial ischemic injury model was established in adult mice and pigs by multiple research entities, and we were able to show that ceAF can efficiently rescue damaged cardiac tissues and markedly improve cardiac function in both experimental models through intravenous administration. ceAF administration increased cell proliferation and improved angiogenesis, likely via down-regulation of Hippo-YAP signaling. Our data suggest that ceAF administration can effectively rescue ischemic heart injury, providing the key functional information for the further development of ceAF for use in attenuating myocardial injury.

Underwater autonomous driving devices, such as autonomous underwater vehicles (AUVs), rely on visual sensors, but visual images tend to produce color aberrations and a high turbidity due to the scattering and absorption of underwater light. To address these issues, we propose the Dense Residual Generative Adversarial Network (DRGAN) for underwater image enhancement. Firstly, we adopt a multi-scale feature extraction module to obtain a range of information and increase the receptive field. Secondly, a dense residual block is proposed, to realize the interaction of image features and ensure stable connections in the feature information. Multiple dense residual modules are connected from beginning to end to form a cyclic dense residual network, producing a clear image. Finally, the stability of the network is improved via adjustment to the training with multiple loss functions. Experiments were conducted using the RUIE and Underwater ImageNet datasets. The experimental results show that our proposed DRGAN can remove high turbidity from underwater images and achieve color equalization better than other methods.

Electro-hydraulic suspension systems are one of the key working systems of tractors. Due to the complex and changeable working conditions in the field, it is of great significance to shorten the development cycle of the control strategy and reduce the development cost by using the indoor bench for test verification at the beginning of the study. Based on this, this paper has proposed a complete set of tractor hydraulic-suspension tillage-depth and loading-control test-bench designs. The system was mainly composed of three parts: an industrial computer, a suspension electro-hydraulic control system, and a loading electro-hydraulic control and data-acquisition system. The human–computer interaction interface of the test-bench measurement and control system was built, and the loading-force control system and suspension tillage-depth and loading integrated-control system were built based on PID and fuzzy PID control algorithms, respectively. The system can realize the control of suspension tillage depth and loading during the operation process and has the functions of the real-time acquisition, display, and data storage of related sensor signals during the working process. The test results showed that the response time of the loading-control system was less than 1.2 s, and the maximum steady-state error was less than 0.8%. The response time of the suspension control system was less than 2.3 s, and the maximum steady-state error was less than 1%. The system has good responsiveness and stability. These research results can provide platform and method of support for the development and test of tractor electro-hydraulic suspension systems.

Objective: To evaluate the effect of midkine on lipopolysaccharide (LPS)-induced airway smooth muscle cells (ASMCs). Methods: LPS-stimulated acute lung injury model was used to analyze the effect of midkine on ASMCs in vitro. Recombinant midkine and midkine siRNA were used to investigate the role of Notch2 signaling pathway. Cell proliferation was assessed using Cell Counting Kit-8 assay. Additionally, apoptosis was measured by flow cytometry and protein and mRNA expression of midkine and Notch2 was assessed by Western blotting and qPCR, respectively. Immunofluorescence analysis was also conducted. Results: LPS increased the mRNA and protein expression of midkine and Notch2. Midkine silencing reduced LPS-induced midkine and Notch2 expression. In addition, midkine silencing further reduced the viability and increased apoptosis of ASMCs induced by LPS, which was attenuated by recombinant midkine. Conclusions: The midkine/Notch2 signaling pathway plays a regulatory role in ASMC proliferation and apoptosis in airway inflammation.

Objective: To systematically evaluate the incidence of adverse reactions to coronavirus disease 2019 (COVID-19) vaccination. Methods: We systematically searched PubMed, Embase, The Cochrane Library, Web of Science, CNKI, WanFang Data, and VIP Database from the inception of each database to August 31, 2021. Randomized controlled clinical trials (RCTs) on the safety of different types of COVID-19 vaccines were retrieved and analyzed. A random or fixed-effects model was used with an odds ratio as the effect size. The quality of each reference was evaluated. The incidence of the adverse reactions of the placebo group and the vaccination group was compared. Heterogeneity and publication bias were taken care of by meta-regression and sub-group analyses. Results: A total of 13 articles were included, with 81 287 subjects. Compared with the placebo group, the vaccination group showed a higher combined risk ratio (RR) of total adverse reactions (RR=1.67, 95% CI: 1.46-1.91, P

Objective: To explore the protective effects of anthrahydroquinone- 2,6-disulfonate (AH2QDS) on the kidneys of paraquat (PQ) poisoned rats via the apelin-APJ pathway. Methods: Male Sprague Dawley rats were divided into four experimental groups: control, PQ, PQ+sivelestat, and PQ+AH2QDS. The PQ+sivelestat group served as the positive control group. The model of poisoning was established via intragastric treatment with a 20% PQ pesticide solution at 200 mg/kg. Two hours after poisoning, the PQ+sivelestat group was treated with sivelestat, while the PQ+AH2QDS group was given AH2QDS. Six rats were selected from each group on the first, third, and seventh days after poisoning and dissected after anesthesia. The PQ content of the kidneys was measured using the sodium disulfite method. Hematoxylin-eosin staining of renal tissues was performed to detect pathological changes. Apelin expression in the renal tissues was detected using immunofluorescence. Western blotting was used to detect the expression levels of the following proteins in the kidney tissues: IL- 6, TNF-α, apelin-APJ (the apelin-angiotensin receptor), NF-κB p65, caspase-1, caspase-8, glucose-regulated protein 78 (GRP78), and the C/EBP homologous protein (CHOP). In in vitro study, a PQ toxicity model was established using human tubular epithelial cells treated with standard PQ. Twenty-four hours after poisoning, sivelestat and AH2QDS were administered. The levels of oxidative stress in human renal tubular epithelial cells were assessed using a reactive oxygen species fluorescence probe. Results: The PQ content in the kidney tissues of the PQ group was higher than that of the PQ+AH2QDS group. Hematoxylin-eosin staining showed extensive hemorrhage and congestion in the renal parenchyma of the PQ group. Vacuolar degeneration of the renal tubule epithelial cells, deposition of crescent-like red staining material in renal follicles, infiltration by a few inflammatory cells, and a small number of cast formation were also observed. However, these pathological changes were less severe in the PQ+sivelestat group and the PQ+AH2QDS group (P

The need to reduce atmospheric CO2 concentrations necessitates CO2 capture technologies for conversion into stable products or long-term storage. A single pot solution that simultaneously captures and converts CO2 could minimize additional costs and energy demands associated with CO2 transport, compression, and transient storage. While a variety of reduction products exist, currently, only conversion to C2+ products including ethanol and ethylene are economically advantageous. Cu-based catalysts have the best-known performance for CO2 electroreduction to C2+ products. Metal Organic Frameworks (MOFs) are touted for their carbon capture capacity. Thus, integrated Cu-based MOFs could be an ideal candidate for the one-pot capture and conversion. In this paper, we review Cu-based MOFs and MOF derivatives that have been used to synthesize C2+ products with the objective of understanding the mechanisms that enable synergistic capture and conversion. Furthermore, we discuss strategies based on the mechanistic insights that can be used to further enhance production. Finally, we discuss some of the challenges hindering widespread use of Cu-based MOFs and MOF derivatives along with possible solutions to overcome the challenges.