Mechanism of arsenic-induced liver injury in rats revealed by metabolomics and ionomics based approach.

Arsenic (As) is an environmental toxicant and human carcinogen, long-term exposure to As can lead to varying degrees of liver injury. In this study, the liver injury model of As poisoned Sprague-Dawley (SD) rats was established, and the potential mechanism was investigated by metabonomics and ionomics. A total of 164 differential expressed metabolites (DEMs) were identified between the As poisoned group and the control group, which mainly involved in nicotinate and nicotinamide metabolism, steroid hormone biosynthesis, taurine and hypotaurine metabolism, and porphyrin metabolism.

Q fever diagnosed using metagenomic next-generation sequencing in Guangdong Province, China.

Q fever is a zoonotic disease caused by infection with (). Due to its atypical symptoms and the absence of specific detection methods, Q fever is underdiagnosed commonly. Herein, we report a case of Q fever confirmed by metagenomic next-generation sequencing (mNGS) in March 2024 in Guangdong Province, China.

Using Achiral Monomers to Synthesize Organometallic Chiral Copolymers on an Achiral Surface.

Preparing chiral polymers by using achiral building blocks in an achiral reaction environment is very demanding because this strategy avoids the use of expensive chiral reagents. Here, a surface-confined and sequence-controlled chiral copolymer is synthesized by the organometallic reactions between the achiral precursors 4,4″-dibromo-1,1':3',1''-terphenyl and 1-ethynyl-4-[2-(4-ethynylphenyl)ethynyl]benzene on an achiral Ag(111) surface. Combined scanning tunneling microscopy and density functional theory explorations show that the terminal alkyne and aromatic bromide precursors undergo dehydrogenated and debrominated metalations with surface Ag adatoms to yield the organometallic polymeric products.

Impact of tyrosine amination on the aggregation and neurotoxicity of amyloid-β.

The tyrosine residue in amyloid-β (Aβ) is susceptible to attack by various reactive nitrogen intermediates, leading to the formation of 3-nitrotyrosine (3-NT), a post-translational modification associated with the pathophysiology of Alzheimer's disease (AD). Although considered a "dead-end" product, emerging evidence suggests that 3-NT can be reduced to 3-aminotyrosine (3-AT) in vivo. This study aims to validate the amination of Aβ tyrosine under physiological conditions and systematically investigate its impact on the aggregation and neurotoxicity of Aβ42.

Model-based convolution neural network for 3D Near-infrared spectral tomography.

Near-infrared spectral tomography (NIRST) is a non-invasive imaging technique that provides functional information about biological tissues. Due to diffuse light propagation in tissue and limited boundary measurements, NIRST image reconstruction presents an ill-posed and ill-conditioned computational problem that is difficult to solve. To address this challenge, we developed a reconstruction algorithm (Model-CNN) that integrates a diffusion equation model with a convolutional neural network (CNN).

Identification of ETV4 as a prognostic biomarker and correlates with immune cell infiltration in head and neck squamous cell carcinoma.

Head and neck squamous cell carcinoma (HNSC) is a common malignant tumor with high incidence and mortality rates. ETS variant transcription factor 4 (ETV4), an important transcription factor, plays a key role in various cancers. However, the role of ETV4 in HNSC remains unclear.

Causes of death in patients with malignant adrenal tumours: a population-based analysis.

Objective: This study aimed to characterize the causes of death and compute the risk of mortality due to each cause among patients with malignant adrenal tumours.

Methods: Data from malignant adrenal tumour patients were collected from the Surveillance, Epidemiology, and End Results (SEER) database (2004-2020). With reference data from the general population, the standardized mortality ratio (SMR) was calculated to assess all causes of death for malignant adrenal tumour patients.

Using effective connectivity-based predictive modeling to predict MDD scale scores from multisite rs-fMRI data.

Background: Major depressive disorder (MDD) is a severe mental illness, and the Hamilton Depression Rating Scale (HAMD) is commonly used to quantify its severity. Our aim is to develop a predictive model for MDD symptoms using machine learning techniques based on effective connectivity (EC) from resting-state functional magnetic resonance imaging (rs-fMRI).

New Method: We obtained large-scale rs-fMRI data and HAMD scores from the multi-site REST-meta-MDD dataset.

The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study.

Background: To investigate the effect of preoperative immunonutritional status on prognosis in epithelial ovarian cancer patients.

Methods: A multicenter real-world study included 922 patients with histologically confirmed epithelial ovarian cancer who received comprehensive staged surgery or debulking surgery at seven tertiary hospitals in China between 2012 and 2023. Prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) were used to assess the immunonutritional status for their superior predictive power to indicate the nutritional status and the inflammatory immunity.

Nonlinear correction of FMCW LIDAR based on the superlets transform algorithm.

In frequency-modulated continuous wave (FMCW) light detection and ranging (LIDAR), the nonlinearity of the laser frequency modulation causes an increase in the full width at half maximum (FWHM) of the beat signal. This increase seriously affects the ranging precision. In this Letter, a nonlinear correction method based on superlets transform (SLT) is proposed to build a FMCW LIDAR measurement system with an auxiliary interferometer.

Linkage Microenvironment and Oxygen Electroreduction Reaction Performance Correlationship of Iron Phthalocyanine-based Polymers.

Iron phthalocyanine-based conjugated polymers (PFePc) offer well-defined sites, rendering them ideal model systems to elucidate structure-property relationships towards oxygen reduction reaction (ORR), but have struggled to achieve improved catalytic activity due to uniform electron distribution of iron center and difficulty in molecular-level structure design. Although rationally linkage microenvironmental regulation is an effective approach to adjusting activity, the underlying fundamental mechanism is incompletely understood. Herein, systematic DFT calculations and experimental investigation of PFePc analogous reveal that the incorporation of the electron-withdrawing benzophenone linkage into the PFePc backbone (PFePc-3) drives the delocalization of Fe d-orbital electrons, downshifts the d-band energy level, thereby tailoring the key OH* intermediate interaction, demonstrating enhanced ORR performance with a half-wave potential of 0.

Prevalence of fatigue and perceived fatigability in older adults: a systematic review and meta-analysis.

Fatigue is a common health complaint in older adults, but its prevalence varies widely among studies due to differences in populations and assessment tools. The objective of this review is to systematically evaluate the prevalence of fatigue and perceived fatigability in older adults with PRISMA 2020. Four databases-PubMed, Embase, Web of Science (WoS), and Cochrane Library-were systematically searched as of December 27, 2023.

High-Density Accessible Iron Single-Atom Catalyst for Durable and Temperature-Adaptive Laminated Zinc-Air Batteries.

Designing single-atom catalysts (SACs) with high density of accessible sites by improving metal loading and sites utilization is a promising strategy to boost the catalytic activity, but remains challenging. Herein, a high site density (SD) iron SAC (D-Fe-N/C) with 11.8 wt.

Notoginsenoside R1 Attenuates H/R Injury in H9c2 Cells by Maintaining Mitochondrial Homeostasis.

Mitochondrial homeostasis is crucial for maintaining cellular energy production and preventing oxidative stress, which is essential for overall cellular function and longevity. Mitochondrial damage and dysfunction often occur concomitantly in myocardial ischemia-reperfusion injury (MIRI). Notoginsenoside R1 (NGR1), a unique saponin from the traditional Chinese medicine Panax notoginseng, has been shown to alleviate MIRI in previous studies, though its precise mechanism remains unclear.

Situations and demands of central sterile supply department training on nursing interruptions.

Backgrounds: Central sterile supply department (CSSD) is an important department in the hospital. It can ensure successful sterilization and nosocomial infection control. CSSD staff are often interrupted during cleaning, disinfection, packaging, sterilization and distribution.

Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis.

Background: Epistasis, the phenomenon where the effect of one gene (or variant) is masked or modified by one or more other genes, significantly contributes to the phenotypic variance of complex traits. Traditionally, epistasis has been modeled using the Cartesian epistatic model, a multiplicative approach based on standard statistical regression. However, a recent study investigating epistasis in obesity-related traits has identified potential limitations of the Cartesian epistatic model, revealing that it likely only detects a fraction of the genetic interactions occurring in natural systems.

Numerical simulation of the heating process in a vacuum sintering electric furnace and structural optimization.

A three-dimensional numerical model of the vacuum sintering furnace was established, combined with the custom program of temperature-voltage feedback regulation. Through simulationand experimental validation, the heating and holding stage as well as the thermal hysteresis phenomenon of the furnace were analyzed, a dimensionless quantity of hysteresis temperature difference was proposed and calculated, the distribution of the electric field and temperature uniformity of the furnace were discussed in detail, while the structural improvement approach was proposed based on simulation. The results show that: during the heating process, the maximum of thermal hysteresis temperature difference between the graphite cylinder and the heating tube is 0.

Pressure-Induced Assembly of Organic Phase-Change Materials Hybridized with Expanded Graphite and Carbon Nanotubes for Direct Solar Thermal Harvesting and Thermoelectric Conversion.

Direct harvesting of abundant solar thermal energy within organic phase-change materials (PCMs) has emerged as a promising way to overcome the intermittency of renewable solar energy and pursue high-efficiency heating-related applications. Organic PCMs, however, generally suffer from several common shortcomings including melting-induced leakage, poor solar absorption, and low thermal conductivity. Compounding organic PCMs with single-component carbon materials faces the difficulty in achieving optimized comprehensive performance enhancement.

Cis-Regulatory Evolution of CCNB1IP1 Driving Gradual Increase of Cortical Size and Folding in primates.

Neocortex expansion has a concerted relationship with folding, underlying evolution of human cognitive functions. However, molecular mechanisms underlying this significant evolutionary process remains unknown. Here, using tree shrew as an outgroup of primates, we identify a new regulator which acquired its expression before the emergence of primates.

Research on Intelligent Monitoring and Concentration Prediction for Penicillin Fermentation Process.

In the biopharmaceutical industry, accurately predicting penicillin concentration during fermentation is key to boosting production efficiency and quality assurance. This study leverages the PenSim simulation data set and applies various machine learning and deep learning techniques to forecast penicillin fermentation concentration. Initially, through correlation analysis, nine feature variables with significant impacts on penicillin concentration were screened, and the data underwent preprocessing and standardization.

Bioinformatics analysis reveals 's prognostic significance in head and neck squamous cell carcinoma and its association with immune cell infiltration.

Background: Head and neck squamous cell carcinoma (HNSCC) has a poor prognosis due to late diagnosis and complex molecular mechanisms. Vascular endothelial growth factor C (VEGFC) is associated with angiogenesis and lymphangiogenesis. This study aimed to investigate 's prognostic value in HNSCC and its correlation with immune cell infiltration.

Low-Dimensional Metal-Alkynyls: On-Surface Synthesis and Properties.

Metal-alkynyls, an emerging class of functional metal-organic materials, have attracted widespread attention due to their fascinating properties and multifaceted potential applications, such as luminescence, nonlinear optics, liquid crystals, and catalysis. Despite considerable effort toward their synthesis, precise construction of complex metal-alkynyl structures with a high selectivity remains a great challenge. The rise of on-surface chemistry not only offers a route to realizing controlled synthesis of low-dimensional (LD) metal-alkynyls but also provides an opportunity for their in-depth investigations with advanced surface characterization techniques such as scanning tunneling microscopy.

Salmonella enterica serovar typhimurium effectors spiA and spiC promote replication by modulating iron metabolism and oxidative stress.

Salmonella enterica serovar Typhimurium (S. Typhimurium) poses a major threat to the health and safety of animal-derived foods worldwide. Recently, we have reported that S.

Abnormal methylation of Mill1 gene regulates osteogenic differentiation involved in various phenotypes of skeletal fluorosis in rats and methionine intervention.

Excessive fluoride intake can lead to skeletal fluorosis. Nutritional differences in the same fluoride-exposed environment result in osteosclerosis, osteoporosis, and osteomalacia. DNA methylation has been found to be involved in skeletal fluorosis and is influenced by environment and nutrition.