Reductive stress: The key pathway in metabolic disorders induced by overnutrition.

Background: The balance of redox states is crucial for maintaining physiological homeostasis. For decades, the focus has been mainly on the concept of oxidative stress, which is involved in the mechanism of almost all diseases. However, robust evidence has highlighted that reductive stress, the other side of the redox spectrum, plays a pivotal role in the development of various diseases, particularly those related to metabolism and cardiovascular health.

Integrating Metabolomics and Transcriptomics to Analyse and Reveal the Regulatory Mechanisms of Mung Bean Polyphenols on Intestinal Cell Damage Under Different Heat Stress Temperatures.

Background/objectives: Polyphenols represent a new strategy of dietary intervention for heat stress regulation.

Methods: The metabolic and genetic effects of three heat stress-regulated mung bean polyphenols on mouse small intestinal epithelial Mode-k cells were investigated by metabolomics-transcriptomics correlation analysis at different heat stress levels.

Results: Lipid metabolism, energy metabolism, and nervous system pathways were the key metabolic regulatory pathways.

Chemical activation of cotton fibers with varied regents induces distinct morphology of activated carbon and adsorption capacity of methylene blue.

Some biomasses like cotton contain natural fibrous structures. This is a desirable structural feature for exposure of adsorption sites on cotton-derived activated carbon (AC). This was verified herein by conducting activation of cotton with ZnCl, HPO, KCO or KOH, probing whether structural transformation during activation could be confined inside a cotton fiber.

Prediction of Thermodynamic Properties of C-Based Fullerenols Using Machine Learning.

Traditional machine learning methods face significant challenges in predicting the properties of highly symmetric molecules. In this study, we developed a machine learning model based on graph neural networks (GNNs) to accurately and swiftly predict the thermodynamic and photochemical properties of fullerenols, such as C(OH) ( = 1 to 30). First, we established a global method for generating fullerenol isomers through isomer fingerprinting, which can generate all possible isomers or produce diverse structural types on demand.

Predictive accuracy of comorbidity index models in assessing mortality risk among hemodialysis patients: A comprehensive single-center observational cohort study.

Objectives: Comorbidity prediction models have been demonstrated to offer more comprehensive and accurate predictions of death risk compared to single indices. However, their application in China has been limited, particularly among maintenance hemodialysis (MHD) patients. Therefore, the objective of this study was to evaluate the utility of comorbidity index models in predicting mortality risk among Chinese MHD patients.

A Zero-Gap Electrolyzer Enables Supporting Electrolyte-Free Seawater Splitting for Energy-Saving Hydrogen Production.

Membrane-assisted direct seawater splitting (DSS) technologies are actively studied as a promising route to produce green hydrogen (H), whereas the indispensable use of supporting electrolytes that help to extract water and provide electrochemically-accelerated reaction media results in a severe energy penalty, consuming up to 12.5 % of energy input when using a typical KOH electrolyte. We bypass this issue by designing a zero-gap electrolyzer configuration based on the integration of cation exchange membrane and bipolar membrane assemblies, which protects stable DSS operation against the precipitates and corrosion in the absence of additional supporting electrolytes.

Cov-trans: an efficient algorithm for discontinuous transcript assembly in coronaviruses.

Background: Discontinuous transcription allows coronaviruses to efficiently replicate and transmit within host cells, enhancing their adaptability and survival. Assembling viral transcripts is crucial for virology research and the development of antiviral strategies. However, traditional transcript assembly methods primarily designed for variable alternative splicing events in eukaryotes are not suitable for the viral transcript assembly problem.

Identifying influential nodes in brain networks via self-supervised graph-transformer.

Background: Studying influential nodes (I-nodes) in brain networks is of great significance in the field of brain imaging. Most existing studies consider brain connectivity hubs as I-nodes such as the regions of high centrality or rich-club organization. However, this approach relies heavily on prior knowledge from graph theory, which may overlook the intrinsic characteristics of the brain network, especially when its architecture is not fully understood.

Highly efficient and conductive in-situ assembled VS-VO on reduced Graphene-oxide as advanced cathode materials for thermal batteries.

Thermal batteries are a type of thermally activated reserve batteries, where the cathode material significantly influences the operating voltage and specific capacity of the battery. In this work, VS-VO has been synthesized through the hydrothermal method and used as the cathode material for thermal batteries. Firstly, the material with the VS crystallinity is obtained at 170 °C and the mass percentages of VS/VO are 63.

The Role of Dynamic Contrast Enhanced Magnetic Resonance Imaging in Evaluating Prostate Adenocarcinoma: A Partially-Blinded Retrospective Study of a Prostatectomy Patient Cohort With Whole Gland Histopathology Correlation and Application of PI-RADS or TNM Staging.

Background: Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in the current Prostate Imaging-Reporting and Data System version 2.1 (PI-RADS v2.1) is considered optional, with primary scoring based on T2-weighted imaging (T2WI) and diffusion weighted imaging (DWI).

Engineered extrachromosomal oncogene amplifications promote tumorigenesis.

Focal gene amplifications are among the most common cancer-associated mutations but have proven challenging to engineer in primary cells and model organisms. Here we describe a general strategy to engineer large (more than 1 Mbp) focal amplifications mediated by extrachromosomal DNAs (ecDNAs) in a spatiotemporally controlled manner in cells and in mice. By coupling ecDNA formation with expression of selectable markers, we track the dynamics of ecDNA-containing cells under physiological conditions and in the presence of specific selective pressures.

Risk Prediction Models as an Emerging Trend for Managing Cancer-Related Fatigue: A Systematic Review.

Aim: To systematically identify, describe and evaluate the existing risk prediction models for cancer-related fatigue.

Design: Systematic review.

Data Sources: Seven databases (EMBASE, Cochrane Database, MEDLINE, CINAHL, CNKI, SinoMed and Wanfang) were conducted from inception to August 14, 2023 and updated in September 15, 2024.

Multi-modal Imaging-based Pseudotime Analysis of Alzheimer progression.

Alzheimer's disease (AD) is a neurodegenerative disorder that results in progressive cognitive decline but without any clinically validated cures so far. Understanding the progression of AD is critical for early detection and risk assessment for AD in aging individuals, thereby enabling initiation of timely intervention and improved chance of success in AD trials. Recent pseudotime approach turns cross-sectional data into "faux" longitudinal data to understand how a complex process evolves over time.

Melatonin inhibits the activation of microglia and cough sensitivity of guinea pigs exposed to PM2.5.

Objective: The study aimed to examine the impact of melatonin on mitigating brain inflammation and cough sensitivity resulting from exposure to particulate matter 2.5 (PM2.5).

Activation of biochar by CO produced from the same pyrolysis process and captured by CaO.

Herein, recycled use of CO was proposed by using CaO to collect CO in the form of CaCO in the pyrolysis of willow branch (WB) at 600 °C. Subsequently, the formed CaCO and biochar together were heated to 900 °C to activate the biochar with both CO and CaO released.

Metabolomics of black beans ( L.) during atmospheric pressure steaming and in vitro simulated digestion.

In the paper, metabolomics techniques based on UHPLC-QE-MS were used to study raw black beans, steaming black beans, and their in vitro digestion products. The results show that the three groups of raw black beans, atmospheric pressure-steamed black beans, and their in vitro digests comprised 922, 945, and 878 characteristic metabolites, respectively, dominated by amino acids, organic acids, polyphenols, and sugars. After screening the differential metabolites, content comparison, the content of amino acids, sugars, and phenolics in black beans was found to be increased after atmospheric steaming.

[Reversal Process and Driving Force Analysis for Arable Land Ecological Quality in Ningbo Using Time-series Remote Sensing Technology].

Timely monitoring of the changes in the ecological quality of arable land and the driving forces is of great significance for maintaining the ecological balance and sustainable development of agriculture. This study used the advanced time-series remote sensing continuous change detection and classification （CCDC） algorithm to synthesize images with the acquisition date of each year, in order to overcome the impacts of cloudy weather and vegetation phenology. Based on this, the reversal process and mechanism for the ecological quality of arable land in Ningbo were precisely identified using the comprehensive ecological evaluation index （CEEI） and geo-detector methods.

Multi-trajectories of intrinsic capacity and their effect on higher-level functional capacity, life satisfaction, and self-esteem in community-dwelling older adults: the NILS-LSA.

Objectives: Variability in intrinsic capacity (IC) changes among community-dwelling older adults and their effect on health outcomes remain understudied. We examined the variability in IC trajectories and their impact on higher-level functional capacity (HLFC), life satisfaction, and self-esteem.

Design: Longitudinal study.

The Optical Forces and Torques Exerted by Airy Light-Sheet on Magnetic Particles Utilized for Targeted Drug Delivery.

The remarkable properties of magnetic nanostructures have sparked considerable interest within the biomedical domain, owing to their potential for diverse applications. In targeted drug delivery systems, therapeutic molecules can be loaded onto magnetic nanocarriers and precisely guided and released within the body with the assistance of an externally applied magnetic field. However, conventional external magnetic fields generated by permanent magnets or electromagnets are limited by finite magnetic field gradients, shallow penetration depths, and low precision.

Overexpression of ELF1 combined with MMP9 is associated with prognosis and tumor microenvironment in gastric cancer.

Gastric cancer (GC) is a prevalent malignancy of the digestive system. E74-like factor 1 (ELF1) is a transcription factor that is specific to T cells and belongs to the Ets family. They are typically expressed in numerous tumor cells, such as pancreatic cancer, oral squamous cell, endometrial carcinoma, nasopharyngeal carcinoma and prostate and colorectal cancer, where they can promote cell invasion and migration.

Disease-derived circulating extracellular vesicle preconditioning: A promising strategy for precision mesenchymal stem cell therapy.

Mesenchymal stem cell (MSC)-based therapies have emerged as promising methods for regenerative medicine; however, how to precisely enhance their tissue repair effects is still a major question in the field. Circulating extracellular vesicles (EVs) from diseased states carry diverse pathological information and affect the functions of recipient cells. Based on this unique property, we report that disease-derived circulating EV (disease-EV) preconditioning is a potent strategy for precisely enhancing the tissue repair potency of MSCs in diverse disease models.

Down-regulation of miR-138-5p in PP2A KO mice promoted apoptosis of spermatocytes.

Background: Protein phosphatase 2 A (PP2A) is known to have a pivotal and diverse functions in various physiological processes. In the previous study, we utilized the cre-loxp system to generate germ cell-specific knockout mice for the PP2A catalytic subunit alpha subunit (Ppp2ca).

Methods And Results: Using high-throughput miRNA sequencing of testis tissues and real‑time PCR, we have identified a notable decrease in the expression of miR-138-5p in the testes of Ppp2ca mice.