SSBP1 promotes bovine ephemeral fever virus replication by antagonizing antiviral immune responses via degrading MAVS.

Mitochondrial single-stranded DNA-binding protein 1 (SSBP1), a component of the mitochondrial DNA replisome, is involved in DNA replication, repair and maintenance of mitochondrial DNA. However, its function in the bovine ephemeral fever virus (BEFV) infection has not been described. Herein, we found that SSBP1 acted as an essential negative regulator of mitochondrial antiviral signaling protein (MAVS) to maintain immune homeostasis.

Tailoring the Oxygen Vacancy Distribution in Se-Doped RuO to Enhance Its Stability in Acidic Water Electrolysis.

Developing durable ruthenium (Ru)-based catalysts for proton exchange membrane water electrolyzer (PEMWE) remains challenging due to irreversible Ru dissolution and lattice oxygen instability. Although elemental doping is a general method to improve stability, it inadvertently induces oxygen vacancies (Vs), which are randomly distributed in the nanocatalyst. Notably, the impact of V distribution on the stability of Ru-based catalysts remains unresolved.

Effects of soil labile carbon fractions and microbes on GHG emissions from flooding to drying in paddy fields.

Soil microorganisms and labile soil organic carbon (SOC) fractions are essential factors affecting greenhouse gas (GHG) emissions in paddy fields. However, the effects of labile SOC fractions and microorganisms on GHG emissions from flooding to drying after organic fertilizer replacing for chemical fertilizer remain unclear. Here, a long-term experiment was conducted with four treatments: chemical fertilization only (control), organic fertilizer substituting 25 % of chemical N fertilizer (NM1), 50 % of chemical N fertilizer (NM2), and NM2 combined with crop straw (NMS).

Pressure-insensitive low-density polyethylene diaphragm-based optical fiber temperature sensors.

Highly sensitive measurement of temperature in harsh environments has seen considerable research. This paper presents an optical fiber temperature sensor based on diaphragms, which utilizes the change in the Fabry-Perot (FP) cavity length due to the deformation of the diaphragm by thermal expansion to realize temperature sensing. Low-density polyethylene with an air permeability diaphragm is used to achieve pressure insensitivity.

Damage constitutive model and experimental study of deep coal rock under thermal-hydro-mechanical coupling.

This study investigates the thermal-hydro-mechanical (THM) coupled damage behavior of deep coal rocks from the Benxi Formation in the Ordos Basin. By conceptualizing coal rock as a dual-porosity medium comprising fractures and matrix, a damage constitutive model was developed through the integration of the Lemaitre strain equivalence hypothesis, continuum damage mechanics, and thermodynamic principles. The model introduces damage variables and correction coefficients to characterize the synergistic effects of confining pressure, temperature, and drilling fluid infiltration.

HVT-delivered chicken IGF-1 improves growth performance in broilers.

The domesticated poultry is invaluable as a global protein source. Growth performance in poultry, particularly broilers, plays a critical role in production efficiency. Insulin-like growth factor-1 (IGF-1) is a multifunctional hormone which shows promotive effects on growth and development.

Carbon Dioxide Capture by a Hydrothermally Synthesized Water-Resistant Zinc-Oxalate-Aminotriazolate Framework.

Selective capture of carbon dioxide (CO) from flue gas employing physisorbents represents an appealing approach owing to its potentially low energy penalty and cost-effectiveness. Microporous metal-organic frameworks (MOFs), characterized by their highly customizable pore structure and functionality, offer significant promise in this field. However, challenges such as thermal/moisture resistance, green/scalable synthesis, and adsorption durability remain unresolved.

The Relationship Between Cardiometabolic Index and New-Onset Diabetes in Adults Aged Over 45: A Longitudinal Analysis Based on CHARLS.

The cardiometabolic index (CMI) serves as a comprehensive indicator of metabolic risk. Recent findings indicate a potential association between CMI and the likelihood of diabetes onset. The objective of this research is to explore the correlation between initial CMI values and the occurrence of newly diagnosed diabetes mellitus in individuals aged 45 years and above in China.

Unveiling the levant basin as a unique sink for plastic bags and packaging through comprehensive multi-marker analysis.

Plastic litter is ubiquitously distributed across the seafloor, yet the transport trajectories and settling mechanisms of such debris remain poorly defined. In this study, we conducted a comprehensive analysis of seabed litter collected via bottom trawls at depths ranging from 80 to 1300 m in the southeastern Mediterranean Sea, an oligotrophic marine system. Our results revealed one of the highest global concentrations of deep-sea plastic litter (up to 3321 ± 12 items/km), with plastic bags and packaging (PBPs) comprising over 91 % of total items.

Comprehensive characterization of multi-omics landscapes between gut microbial metabolites and the druggable genome in sepsis.

Background: Sepsis is a life-threatening condition with limited therapeutic options. Emerging evidence implicates gut microbial metabolites in modulating host immunity, but the specific interactions between these metabolites and host druggable targets remain poorly understood.

Methods: We utilized a systems biology framework integrating genetic analyses, multi-omics profiling, and structure-based virtual screening to systematically map the interaction landscape between human gut microbial metabolites and druggable G-protein-coupled receptors (GPCRs), ion channels (ICs), and kinases (termed the "GIKome") in sepsis.

The triglyceride-glucose index associated with reduced risk of liver metastasis in pancreatic cancer.

Background: The triglyceride-glucose (TyG) index has emerged as a reliable surrogate marker for insulin resistance and is associated with multiple malignancies. However, its role in pancreatic cancer liver metastasis (PCLM) remains unclear. This study aimed to investigate the relationship between TyG index and PCLM and evaluate its predictive value for PCLM.

Accelerating primer design for amplicon sequencing using large language model-powered agents.

The pre-trained knowledge compressed in large language models is addressing diverse scientific challenges and catalysing the progression of autonomous laboratory systems, synergized with liquid handling robots. Here we introduce PrimeGen, an orchestrated multi-agent system powered by large language models, designed to streamline labour-intensive primer design tasks for targeted next-generation sequencing. PrimeGen uses GPT-4o as a central controller to engage with experimentalists for task planning and decomposition, coordinating various specialized agents to execute distinct subtasks.

Platelet membrane-coated nanoparticles inhibit platelet activation and neutrophil extracellular traps formation in acute lung injury.

Background: Platelets play a critical role in the pathophysiology of acute lung injury (ALI) by activating neutrophils and promoting the formation of neutrophil extracellular traps (NETs). Excessive NETs formation exacerbates lung injury by triggering inflammation, impairing essential alveolar macrophage functions and activating the coagulation cascade. Consequently, inhibiting NETs formation represents a promising strategy for treating ALI.

Mechanism of wellbore instability considering tubular-string contact with the wellbore wall.

Exploration and development of deep and extended-reach wells faces extreme challenges including an extremely narrow mud weight window and complex well trajectories, with frequent occurrences of wellbore instability during drilling and completion operations. Tubular strings in the wellbore are highly prone to wellbore wall contact. However, most current studies on wellbore instability neglect the contact interaction between tubular strings and the wellbore during drilling, wiper tripping, and casing running operations.

Deep learning quantifies pathologists' visual patterns for whole slide image diagnosis.

Based on the expertise of pathologists, the pixelwise manual annotation has provided substantial support for training deep learning models of whole slide images (WSI)-assisted diagnostic. However, the collection of pixelwise annotation demands massive annotation time from pathologists, leading to a high burden of medical manpower resources, hindering to construct larger datasets and more precise diagnostic models. To obtain pathologists' expertise with minimal pathologist workloads then achieve precise diagnostics, we collect the image review patterns of pathologists by eye-tracking devices.

Effect on Coffee Flavor Quality of Enhanced Fermentation With Through Change Microbial Communities and Chemical Compounds.

To stabilize coffee quality by enhanced fermentation with , high-throughput sequencing, UPLC-MS/MS, HS-SPME-GC-MS, and SCA cupping protocol were employed for comprehensive analysis of the coffee fermentation process. Gene sequencing showed that the predominant microorganisms at the genus level were , , , , and for bacteria and , , , , and for fungi. Meanwhile, 122 and 122 differentially changed nonvolatile compounds (VIP > 1,  < 0.

Single-cell and spatial analyses of the GDF family in tumors, with a focus on the prognostic and biological role of GDF15 in hepatocellular carcinoma.

Growth differentiation factors (GDFs) are a subfamily of the TGF-β superfamily whose expression increases in response to cellular stress and disease. Despite emerging cell- or animal-based evidence supporting an association between the GDF subfamily and cancer, systematic pan-cancer analyses of the GDF subfamily based on single-cell and spatial transcriptomes remains unavailable. In this study, we performed a comprehensive analysis of the GDF subfamily in 33 cancers, including expression, diagnosis, methylation, prognostic value, immune infiltration analysis, and potential biological pathways.

Retraction notice to "Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based study" [Heliyon 8 (2022) e12343].

[This retracts the article DOI: 10.1016/j.heliyon.

Anchoring ultrafine Ru nanoparticles on cotton-derived self-standing carbon fibers as efficient cathode catalyst for Li-CO battery.

Li-CO batteries could capture and convert CO into a valuable energy storage medium. The slow kinetics and high activation barrier associated with the breakdown cleavage of discharge products pose a significant hurdle in the advancement of reversible Li-CO batteries. Herein, cotton-derived self-standing carbon fibers were utilized to disperse Ru nanoparticles which could avoid depletion of active sites caused by stacking of graphite-based supports.

Enhanced Prognostication of Early Breast Cancer Outcomes Using Deep Learning on Merged Multistain and Multicolor-Depth Tumor Histopathology.

Accurate breast cancer prognosis helps clinicians in selecting optimal treatments, potentially improving patient survival. We tested whether combining deep learning with tumor histopathology images could reliably predict cancer spread. Advantages of this study include the use of deep learning, which often outperforms traditional methods, and the analysis of tumor histopathology images that offer higher resolution than MRI or CT.

Biomechanical analysis on mandibular anterior teeth during unilateral mandibular molar Protraction with different movement patterns: a finite element analysis.

Objectives: To evaluate the biomechanical effects on mandibular anterior teeth during second molar protraction using different movement patterns following unilateral mandibular first molar loss.

Materials And Methods: A 3D finite element model was developed to simulate unilateral mandibular first molar absence. Three protraction movement patterns were studied: (A) traction hook, (B) anchorage screw, and (C) anchorage screw with extended arm.

Pollution-Carbon Synergy Significantly Enhances the Capability of Tracking Power Plants' CO Emissions from Space.

The potential of satellite-based CO emission estimation from power plants is gaining increasing attention. However, the limited spatiotemporal coverage of current satellite-derived XCO data poses significant challenges to tracking CO variations on a large scale and over extended periods. In view of this, this study uses satellite-derived NO data as a suitable proxy and tracks CO emissions from 38 selected power plants globally by integrating near-synchronously observed TROPOMI NO data and OCO-2 XCO data.

Effect of Flow Length on Pressure and Measurement of PEMFC Temperature by Using Thin-Film Thermocouples.

Based on the COMSOL simulation software (v.6.1), this paper systematically investigates the influence law of runner length on the velocity and pressure distribution of cathode and anode gas runners in proton exchange membrane fuel cells (PEMFCs), and experimentally verifies the measurement effect of thin-film thermocouples on the operating temperature of PEMFCs.

Renalase Overexpression-Mediated Excessive Metabolism of Peripheral Dopamine, DOPAL Accumulation, and α-Synuclein Aggregation in Baroreflex Afferents Contribute to Neuronal Degeneration and Autonomic Dysfunction.

: Increasing evidence reveals the likely peripheral etiology of Parkinson's disease; however, the mechanistic insight into α-Synuclein aggregation in the periphery remains unclear. This study aimed to explore the effect of abnormal expression of renalase on dopamine metabolism, toxic DOPAL generation, and subsequently, α-Synuclein aggregation. : Blood pressure (BP) was monitored while changing the body position of rats; the serum level of renalase was detected by ELISA; the mRNA/protein of renalase and α-Synuclein were determined by qRT-PCR/Western blot; DOPAL was measured using HPLC; renalase distribution was explored by immunostaining; cell viability and ultrastructure were examined by TUNEL and electron microscopy, respectively.