enhances oxidative stress tolerance through rhamnose-dependent mechanisms.

This study probes into the unique metabolic responses of (), a key player in the gut microbiota, when it metabolizes rhamnose rather than typical carbohydrates. Known for its predominant role in the Bacteroidetes phylum, efficiently breaks down poly- and mono-saccharides into beneficial short-chain fatty acids (SCFAs), crucial for both host health and microbial ecology balance. Our research focused on how this bacterium's SCFA production differ when utilizing various monosaccharides, with an emphasis on the oxidative stress responses triggered by rhamnose consumption.

Effect of Fluorine Atoms and Piperazine Rings on Biotoxicity of Norfloxacin Analogues: Combined Experimental and Theoretical Study.

To clarify the effect of the fluorine atom and piperazine ring on norfloxacin (NOR), NOR degradation products (NOR-DPs, P1-P8) were generated via UV combined with hydrogen peroxide (UV/HO) technology. NOR degradation did not significantly affect cytotoxicity of NOR against BV2, A549, HepG2, and Vero E6 cells. Compared with that of NOR, mutagenicity and median lethal concentration of P1-P8 in fathead minnow were increased, and bioaccumulation factor and oral median lethal dose of P1-P8 in rats were decreased.

Resting Heart Rate Mediates the Association Between Circulating Neutrophil Count and Arterial Stiffness Progression: The Kailuan Study.

Objective: This study aimed to longitudinally investigate the association between circulating neutrophil count and the progression of arterial stiffness and to ascertain whether resting heart rate (RHR) mediates this association.

Methods: The current study included 56,760 participants with brachial-ankle pulse wave velocity (baPWV) measurements from a real-life, prospective cohort in China. The associations of circulating neutrophil (exposure) with baseline baPWV, baPWV progression, and arterial stiffness (outcomes), as well as RHR (mediator) were assessed using multivariable linear and Cox regression models and mediation analysis.

A general strategy for engineering GU base pairs to facilitate RNA crystallization.

X-ray crystallography is a fundamental technique that provides atomic-level insights into RNA structures. However, obtaining crystals of RNA structures diffracting to high resolution is challenging. We introduce a simple strategy to enhance the resolution limit of RNA crystals by the selective substitution of Watson-Crick pairs by GU pairs within RNA sequences.

Unifying invariant and variant features for graph out-of-distribution via probability of necessity and sufficiency.

Graph Out-of-Distribution (OOD), requiring that models trained on biased data generalize to the unseen test data, has considerable real-world applications. One of the most mainstream methods is to extract the invariant subgraph by aligning the original and augmented data with the help of environment augmentation. However, these solutions might lead to the loss or redundancy of semantic subgraphs and result in suboptimal generalization.

Engineering CO-Ultraselective Membranes: Molecularly Tailored Low-Crystallinity Polyvinylamine-PEGDGE Networks.

Facilitated transport membranes (FTMs) with an ultraselective layer prepared from amine-rich polyvinylamine (PVAm)/2-(1-piperazinyl)ethylamine salt of sarcosine (PZEA-Sar) (denoted by PM) and an amorphous dendritic cross-linked network of PVAm-functionalized poly(ethylene glycol)diglycidyl ether (PEGDGE) (named PP) were designed for CO separations. The developed membranes expedited CO transport over N through the synergistic effect from the induced CO-philic ethylene oxide groups and highly hydrophilic and polar hydroxyl groups together with the low-crystallinity PP networks, which offer a high diffusion rate for CO-amine complexes through the membrane and stabilize small molecular mobile carriers via hydrogen bonding. The best (PM/PP-10)/polysulfone (PSf) composite membranes achieved a superior CO/N selectivity of 230 (4.

Integration of Graph Neural Networks and multi-omics analysis identify the predictive factor and key gene for immunotherapy response and prognosis of bladder cancer.

Objective: The evaluation of the efficacy of immunotherapy is of great value for the clinical treatment of bladder cancer. Graph Neural Networks (GNNs), pathway analysis and multi-omics analysis have shown great potential in the field of cancer diagnosis and treatment.

Methods: A GNNs model was constructed to predict the immunotherapy response and identify key pathways.

Prognostic and immunological role of LASP2 in clear cell renal cell carcinoma.

Background: Clear cell renal cell carcinoma (ccRCC) represents a common renal carcinoma subtype influenced by the immune microenvironment. LIM and SH3 Protein 2 (LASP2), an actin-binding protein within the nebulin family, contributes to cellular immunity and adhesion mechanisms.

Objective: This study aimed to clarify the immunological and prognostic relevance of LASP2 in ccRCC.

Tumor-Targeted Magnetic Micelles for Magnetic Resonance Imaging, Drug Delivery, and Overcoming Multidrug Resistance.

Nasopharyngeal carcinoma (NPC) is prevalent in Southern China. Unfortunately, current treatments encounter multidrug resistance (MDR). Overexpression of P-glycoprotein (P-gp), resulting in the efflux of chemotherapy drugs, is one of the significant mechanisms causing MDR.

Prognostic value of inflammatory and nutritional indexes among patients with unresectable advanced gastric cancer receiving immune checkpoint inhibitors combined with chemotherapy-a retrospective study.

Background: Recent studies have revealed that inflammatory factors and nutritional status of patients with advanced gastric cancer (AGC) are related to the efficacy of drug therapy and patient prognosis. This study seeks to evaluate the correlation between inflammatory markers, nutritional status, and clinical outcomes of immune checkpoint inhibitor (ICI)-based therapies among inoperable AGC patients.

Method: This retrospective study included 88 AGC patients who received ICIs combined with chemotherapy.

Metabolomics study of APETx2 post-conditioning on myocardial ischemia-reperfusion injury.

Background: Acid-sensing ion channels are activated during myocardial ischemia and are implicated in the mechanism of myocardial ischemia-reperfusion injury (MIRI). Acid-sensing ion channel 3 (ASIC3), the most pH-sensitive member of the ASIC family, is highly expressed in myocardial tissues. However, the role of ASIC3 in MIRI and its precise effects on the myocardial metabolome remain unclear.

CICADA: a circRNA effort toward the ghost proteome.

Recent studies have confirmed that certain circRNAs encode proteins that are integral to various biological functions. In this study, we present CICADA, an algorithm specifically designed to assess the protein-coding potential and coding products of circRNAs at high throughput, which enables the identification of previously unknown circRNA-encoded proteins. By harnessing the potential of this algorithm, we identified a variety of functional, protein-coding circRNAs in esophageal squamous cell carcinoma and established circRNA translation profiles for diverse types of cancer.

Overexpression of Growth Differentiation Factor 15 Reduces Neuronal Cell Damage Induced by Oxygen-Glucose Deprivation/Reoxygenation via Inhibiting Endoplasmic Reticulum Stress-Mediated Ferroptosis.

Growth differentiation factor 15 (GDF15) can be induced under various stress conditions. This study aimed to explore the role of GDF15 in oxygen-glucose deprivation/reoxygenation (OGD/R)-induced HT22 cells. OGD/R was employed to induce the HT22 cell model, and GDF15 expression was upregulated via transfection.

Native Defect-Dependent Ultrafast Carrier Dynamics in p-Type Dopable Wide-Bandgap NiO.

NiO is a wide-bandgap p-type metal oxide that has extensive applications in optoelectronics and photocatalysts. Understanding the carrier dynamics in p-type NiO is pivotal for optimizing device performance, yet they remain largely unexplored. In this study, we employed femtosecond transient absorption spectroscopy to delve into the dynamics of photogenerated carriers in NiO films containing distinct prominent native defects: undoped NiO with oxygen vacancies () and O-rich NiO (denoted as NiO) with nickel vacancies ().

[A clinical analysis on the distribution characteristics of dermatophagoides pteronyssinus allergen components among children with allergic rhinitis and asthma in a hospital of pediatric in Shenzhen City from 2021 to 2024].

To investigate the distribution characteristics and analyze the clinical significance of dermatophagoides pteronyssinus allergen components in children with allergic rhinitis and asthma in Shenzhen. This study was a cross-sectional study. The clinical data of children with allergic rhinitis and asthma induced by dust mites admitted to the allergy clinic of Shenzhen Children's Hospital from 2021 to 2024 were collected and the serum sIgE levels of dermatophagoides pteronyssinus, dermatophagoides farinae (Der p, Der f) and dermatophagoides pteronyssinus components (Der p 1, Der p 2, Der p 10, Der p 23) were detected by magnetic bead chemiluminescence method.

Combination of spatial transcriptomics analysis and retrospective study reveals liver infection of SARS-COV-2 is associated with clinical outcomes of COVID-19.

Background: Liver involvement is a common complication of coronavirus disease 2019 (COVID-19), especially in hospitalized patients. However, the underlying mechanisms involved are not fully understood.

Methods: Immunohistochemistry (IHC) staining of SARS-CoV-2 spike (S) and nucleocapsid (N) proteins was conducted on liver tissues from six patients with COVID-19.

Elucidating the role of gut microbiota metabolites in diabetes by employing network pharmacology.

Background: Extensive research has underscored the criticality of preserving diversity and equilibrium within the gut microbiota for optimal human health. However, the precise mechanisms by which the metabolites and targets of the gut microbiota exert their effects remain largely unexplored. This study utilizes a network pharmacology methodology to elucidate the intricate interplay between the microbiota, metabolites, and targets in the context of DM, thereby facilitating a more comprehensive comprehension of this multifaceted disease.

Enhancing AI reliability: A foundation model with uncertainty estimation for optical coherence tomography-based retinal disease diagnosis.

Inability to express the confidence level and detect unseen disease classes limits the clinical implementation of artificial intelligence in the real world. We develop a foundation model with uncertainty estimation (FMUE) to detect 16 retinal conditions on optical coherence tomography (OCT). In the internal test set, FMUE achieves a higher F1 score of 95.

Association between obstructive sleep apnea syndrome and type1/type2 diabetes mellitus: A systematic review and meta-analysis.

Introduction: Obstructive sleep apnea (OSA) is characterized by a complete or partial obstruction of the upper airway, along with hypoxemia, microarousals, and sleep fragmentation. Compelling evidence has clarified a bidirectional correlation between OSA and diabetes mellitus (DM). This paper was to assess the link between OSA and DM via meta-analysis, consisting of type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM).