When to resume antitumor therapy in COVID-19-infected tumor patients: a retrospective, real-world study.

Purpose: To study the safety of resuming antitumor therapy in tumor patients infected with COVID-19.

Methods: We collected the clinical information of patients with tumors who were infected with COVID-19 and resume antitumor therapy between December 2022 and June 2023. Information about antitumor therapy, COVID-19-related symptoms, laboratory tests, antitumor therapy-related adverse events (AEs), and re-infection with COVID-19 were recorded.

Metabolic characterizations of PFOS-induced disruptions in early embryonic development.

Background: Perfluorooctane sulfonates (PFOS) are persistent environmental pollutants linked to developmental toxicity, but the mechanisms remain unclear. This study investigates the metabolic changes induced by PFOS exposure during early embryonic development and integrates metabolomic, transcriptomic, and molecular docking analyses to explore underlying mechanisms.

Methods: Mouse embryoid bodies (mEBs) were exposed to PFOS for 2 days, 4 days and 6 days.

Alkaline Earth Metal Ions Dynamics in Mixed Ionic-Electronic Conductors of Graphite Intercalation Compounds.

Materials that effectively facilitate the transport of ionic and electronic charges are crucial for advancing technological innovations in next-generation energy storage devices. This work proposed a new class of high-performance mixed ionic-electronic conductors (MIECs) in graphite intercalation compounds with the composition XC (X = {Ca, Sr, and Ba}) using molecular dynamics based on machine learning force fields combined with first-principles calculations. The calculated mean squared displacement and radial distribution functions indicate that CaC, SrC, and BaC transition to the superionic state at temperatures of 1500, 1800, and 2100 K, respectively.

Elevated salinity decreases microbial communities complexity and carbon, nitrogen and phosphorus metabolism in the Songnen Plain wetlands of China.

Salinity can induce changes in the structure and function of soil microbial communities, which plays an important role in soil carbon (C), nitrogen (N) and phosphorus (P) cycling. However, there are few studies on the relationship between microbial communities and functional properties of wetland soil under elevated salinity. In this study, soil samples from Zhalong, Momoge, Niuxintaobao, and Xianghai wetlands in the Songnen Plain of China were cultured with different salinity and analyzed by metagenomic sequencing to assess the overall impact of salinity on microorganisms.

A Bidirectional Mendelian Randomization Study of Tea-Drinking Habits and Risk of Elevated Serum Uric Acid Levels.

Background: Although recent animal experiments have revealed that tea intake improves elevated serum uric acid (SUA) levels, a causal link between the consumption of different types of tea and SUA levels remains undetermined.

Methods: Bidirectional Mendelian randomization (MR) analysis based on genome-wide association studies was used to assess the causal relationship between consumption of different types of tea and the risk of elevated SUA levels in European and Asian populations.

Results: Forward MR analysis showed that tea intake was significantly associated with lower SUA levels (p = 0.

Characterization of Metabolic Patterns in Mouse Spermatogenesis and Its Clinical Implications in Humans.

Spermatogenesis is a complex process requiring precisely controlled metabolic adaptations. Although the genetic and cellular aspects of spermatogenesis have been extensively studied, the underlying metabolic mechanisms remain largely underexplored. In this study, we utilized STA-PUT technology to separate three key cell types involved in mouse spermatogenesis: pachytene spermatocytes (PAC), round spermatids (RS), and elongated spermatids (ES).

The role of the estimated glomerular filtration rate and body roundness index in the risk assessment of uric acid-lowering therapy-resistant gout in U.S. adults: evidence from the National Health and Nutrition Examination Survey (2007-2018).

Objective: To explore the risk factors for uric acid-lowering therapy-resistant gout (UALT-RG) and its relationships with the estimated glomerular filtration rate (eGFR), body roundness index (BRI), and visceral adiposity index (VAI) 2007-2018 National Health and Nutrition Examination Survey (NHANES) data.

Methods: We calculated the BRI using waist circumference and standing height; the VAI using triglycerides (TGs), high-density lipoprotein cholesterol (HDL-C), and body mass index (BMI); and the eGFR from serum creatinine levels. We also collected gout data.

Using machine learning models to predict the dose-effect curve of municipal wastewater for zebrafish embryo toxicity.

Municipal wastewater substantially contributes to aquatic ecological risks. Assessing the toxicity of municipal wastewater through dose-effect curves is challenging owing to the time-consuming, labor-intensive, and costly nature of biological assays. This study developed machine learning models to predict wastewater dose-effect curves for zebrafish embryos.

PIDGN: An explainable multimodal deep learning framework for early prediction of Parkinson's disease.

Background: Parkinson's disease (PD), the second most common neurodegenerative disease in the world, is usually not diagnosed until the later stages of the disease, when patients might have already missed the best treatment period. Therefore, more effective prediction methods based on artificial intelligence (AI) are needed to assist physicians in timely diagnosis.

New Methods: An explainable deep learning-based early Parkinson's disease diagnostic model, Parkinson's Integrative Diagnostic Gated Network (PIDGN), was designed by fusing Single Nucleotide Polymorphism (SNP) and brain sMRI data.

Histone Demethylase KDM6B Promotes Chondrogenic Differentiation Potential of Stem Cells from the Apical Papilla via HES1.

Introduction: Mesenchymal stem cell (MSC)-based therapies have emerged as a promising approach for treating articular cartilage injuries. However, enhancing the chondrogenic differentiation potential of MSCs remains a significant challenge. KDM6B, a histone demethylase that specifically removes H3K27me3 marks, is essential in controlling the maturation of chondrocytes.

Metabolic effects and clinical outcomes of olanzapine in schizophrenia: A systematic review and meta-analysis.

Objective: To evaluate the metabolic changes of patients with schizophrenia treated with olanzapine and analyze the correlation between the dosage of the drug, the blood concentration and the clinical response, so as to provide a reference for the clinical diagnosis and treatment.

Methods: PubMed, web of science, Cochrane Library, MEDLINE databases were used to search for studies on olanzapine treatment in patients with schizophrenia, to extract changes in body weight, BMI, waist circumference, cholesterol, PANSS (The Positive and Negative Syndrome Scale), SAPS (The Positive Syndrome Scale), SANS (The Negative Syndrome Scale), BPRS (Brief Psychiatric Rating Scale), CGI (Clinical Global Impressions Ratings), and so on for meta-analysis, and to analyze the correlation of medication dose, blood concentration, and clinical response.

Results: Twenty clinical trials (1839 participants, 1058 male and 781 female patients) were included in this meta-analysis.

Microbes drive more carbon dioxide and nitrous oxide emissions from wetland under long-term nitrogen enrichment.

Wetlands are frequently regarded as weak carbon dioxide (CO) sinks, the largest natural sources of methane (CH), and weak sources of nitrous oxide (NO). Anthropogenic activities and climate change-induced nitrogen (N) enrichment may affect wetland carbon (C) and N cycling via soil microbes, consequently modifying the original greenhouse gas (GHG) emissions. However, the effects and mechanisms of the duration and rate of N inputs on wetland GHG emissions remain uncertain and controversial.

Respiratory delivery of single low-dose nebulized PFCE-C25 NEs for lymphatic transport and durable stimulation of antitumor immunity in lung cancer.

The currently available immune checkpoint inhibitors (ICIs) often fail to achieve the desired clinical outcomes due to inadequate immune activation, particularly in patients with lung cancer. To reverse this situation, we synthesized inhalable PFCE-C25 nanoemulsions (NEs), which target lymphocyte activation genes (LAG-3) on immune cells within tumor microenvironment and tumor-draining lymph nodes (TDLNs). By combining in vivo F-MR molecular imaging, we investigate the immunological effects of a single low-dose PFCE-C25 NEs in multiple murine lung cancer models, including human immune system (HIS) mouse models, and validated its immunological effects in human TDLNs.

Impoundment-induced stoichiometric imbalance exacerbated phosphorus limitation in a deep subtropical reservoir: Implications for eutrophication management.

Impoundments play a vital role as nutrient sinks, capable of retaining and exporting nitrogen (N) and phosphorus (P) at different rates. The imbalance in N and P stoichiometry relative to phytoplankton demand often determines the limiting nutrient of phytoplankton biomass in these systems. This critical factor has a substantial impact on the management of eutrophication, encompassing the formulation of nutrient control strategies and the setting of regulatory thresholds.

Data-driven models for forecasting algal biomass in a large and deep reservoir.

Early warning of algal biomass is important for the preservation and management of drinking water. However, accurate prediction of algal biomass in large and deep reservoirs remains a challenge. Here, we used six years of high-frequency observations (30 min/time) to train long short-term memory (LSTM) models for forecasting chlorophyll-a concentration (C) and column-integrated C (CIC) for a large and deep Chinese reservoir (Xin'anjiang Reservoir).

HBXN2020 alleviates Typhimurium infection in mice by improving intestinal barrier integrity and reducing inflammation.

is a species of that has been widely investigated because of its broad-spectrum antimicrobial activity. However, most studies on have focused on the biocontrol of plant diseases, with few reports on antagonizing Typhimurium infections. In this investigation, it was discovered that HBXN2020, which was isolated from healthy black pigs, possessed strong anti-stress and broad-spectrum antibacterial activity.

as a potential diagnostic biomarker for autophagy in rheumatoid arthritis: A bioinformatics study.

This study aimed to identify genes associated with autophagy and potential diagnostic biomarkers by comparing the gene expression profiles of synovial tissues in patients with rheumatoid arthritis (RA) and healthy individuals, aiming to offer new insights for clinical treatment strategies. We used publicly available datasets to analyze differentially expressed genes (DEGs) between the synovial tissue of RA patients and healthy individuals. Then, we intersected these DEGs with autophagy-related genes to identify autophagy genes in the synovial tissue of RA patients.

Quality evaluation parameter and classification model for effluents of wastewater treatment plant based on machine learning.

With the growing consensus of emerging pollutants and biological toxicity risks in wastewater treatment plant (WWTP) effluents, traditional water quality management based on general chemical parameters no longer meets the new challenges. Here, a first-hand dataset containing 9 conventional parameters, 22 mental and inorganic ions, 25 biotoxicity parameters, and 54 emerging pollutants from effluents of 176 municipal WWTPs across China were measured. Four clustering algorithms and five classification algorithms were applied to 65 well-performing models to determine a novel evaluation parameter system.

Micro Reference Electrode with an Ultrathin Ionic Path.

Reference electrode (RE) plays the core role in accurate potential control in electrochemistry. However, nanoresolved electrochemical characterization techniques still suffer from unstable potential control of pseudo-REs, because the commercial RE is too large to be used in the tiny electrochemical cell, and thus only pseudo-RE can be used. Therefore, microsized RE with a stable potential is urgently required to push the nanoresolved electrochemical measurements to a new level of accuracy and precision, but it is quite challenging to reproducibly fabricate such a micro RE until now.

The causal effect of hot beverage temperature preference on esophageal cancer risk: a Mendelian randomization study.

Background: Previous research has found a link between the temperature of food and beverages and the risk of esophageal cancer (EC). A causal relationship between the two has not been well established. Herein, we used Mendelian randomization (MR) analysis to assess the causal effect of temperature preference for hot beverages on EC risk.

Neural encoding for spatial release from informational masking and its correlation with behavioral metrics.

The central auditory system encompasses two primary functions: identification and localization. Spatial release from masking (SRM) highlights speech recognition in competing noise and improves the listening experience when a spatial cue is introduced between noise and target speech. This assessment focuses on the integrity of auditory function and holds clinical significance.

LW-213, a derivative of wogonin, triggers reticulophagy-mediated cell death in NSCLC via lysosomal damage combined with NPC1 inhibition.

Background: Maintaining intracellular equilibrium is essential for the viability of tumor cells, which tend to be particularly vulnerable to environmental stressors. Consequently, targeting the disruption of this homeostasis offers a promising approach for oncological treatments. LW-213, a novel derivative of wogonin, effectively induces apoptosis in cancer cells by initiating endoplasmic reticulum (ER) stress, although the precise molecular pathways involved remain intricate and multifaceted.

Nanoscale chemical characterization of materials and interfaces by tip-enhanced Raman spectroscopy.

Materials and their interfaces are the core for the development of a large variety of fields, including catalysis, energy storage and conversion. In this case, tip-enhanced Raman spectroscopy (TERS), which combines scanning probe microscopy with plasmon-enhanced Raman spectroscopy, is a powerful technique that can simultaneously obtain the morphological information and chemical fingerprint of target samples at nanometer spatial resolution. It is an ideal tool for the nanoscale chemical characterization of materials and interfaces, correlating their structures with chemical performances.