A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction.

Preterm birth (PTB) significantly contributes to maternal and perinatal mortality and lifelong morbidity. While large language models (LLM) offer considerable potential for disease risk prediction and early detection, their application to PTB prediction using multi-omics data remains limited. We developed a novel transformer-based architecture for integrating cell free (cfDNA) and cfRNA sequencing data for PTB risk prediction.

Bioavailability and resupply dynamics of thallium in agricultural soils affected by lead-zinc mining: In-situ insights from DGT-DIFS modeling.

Thallium (Tl), with higher toxicity and bioaccumulation potential than mercury (Hg), cadmium (Cd), and lead (Pb), poses serious ecological and food safety threats in mining-impacted agricultural systems. Despite this, its in-situ bioavailability and desorption kinetics in soil remain poorly understood, particularly in lead-zinc mineral-rich regions of southwestern China. In this study, we combined the Diffusive Gradients in Thin-Films (DGT) technique, the DGT-Induced Fluxes in Soils (DIFS) model, and path analysis to comprehensively investigate Tl mobility, bioavailability, and its environmental controls.

Regulatory T cells attenuate chronic inflammation and cardiac fibrosis in hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) is a common, serious, genetic heart muscle disorder. Although the biophysical mechanisms by which gene variants in sarcomeric proteins disrupt cardiomyocyte function are largely understood, the cellular and molecular pathways leading to the complex, variable, and adverse remodeling of the non-myocyte compartment are unexplained. Here, we report that postmortem and explanted human HCM hearts exhibited chronic focal leukocyte infiltration and prominent activation of immune cells.

Multi-factor interaction perspective: machine learning-based analysis of Ni⁺ adsorption onto soil.

With the rapid development of industry and agriculture, the ecological and health impacts of nickel (Ni) have gained increasing attention. While previous experimental studies have identified factors influencing Ni adsorption behavior in soils, their nonlinear relationships and interactive effects remain underexplored. Through combining machine learning (CatBoost/XGBoost) models with SHapley Additive exPlanations (SHAP), this study analyzed 662 experimental datasets to reveal these nonlinear interactions between factors that affect the adsorption behavior of Ni in soil.

Xinshuaining preparation ameliorates doxorubicin-induced cardiac injury in heart failure rats by regulating gut microbiota.

Heart failure (HF) has a serious impact on patients' lives and health. Gut microbiota plays an important role in the development of HF. Xinshuaining (XSN) preparation has a therapeutic effect on the HF.

Efficient wastewater treatment and biomass co-production using energy microalgae to fix C, N, and P.

Distillery wastewater (DWW), characterized by high organic and nutrient loads, represents a significant environmental challenge, requiring effective and sustainable treatment solutions. This study investigates an innovative approach that integrates microalgae cultivation with DWW treatment for simultaneous bioremediation and biomass production, while also exploring carbon sequestration. We analyzed the growth characteristics, nutrient removal efficiency, protein accumulation, and ultrastructural changes of and under varying nitrogen-to-phosphorus (N/P) ratios in diluted DWW.

Garlic-Derived Exosome-Like Nanoparticles Enhance Gut Homeostasis in Stressed Piglets: Involvement of Modulation and Indole-3-propionic Acid Induction.

The occurrence of pediatric diarrhea is frequently associated with inflammatory responses, compromised barrier function, and dysbiosis in the gut. These conditions are commonly triggered by stressors, similar to postweaning diarrhea observed in piglets. Garlic-derived exosome-like nanoparticles (GELNs) hold the potential for ameliorating stress-induced diarrhea, yet supporting evidence remains scarce.

Migration and distribution of thallium related with lead-zinc smelting enterprises from raw materials to soil: In-situ insight using diffusive gradients in thin-films.

Thallium-related industrial materials (TIMs) from the mining and smelting of lead-zinc ores may lead to thallium (Tl) contamination in the soil. Building upon the soil column experiments, this study employed the diffusive gradients in thin-films (DGT) technique and the DGT-induced fluxes in soils (DIFS) model to understand the migration and distribution characteristics of Tl from lead-zinc industrial raw materials to soil, as well as its adsorption-desorption kinetics in soil. The results indicated that Tl concentrations in the leachate from fly ash (0.

Monitoring the safety of the adjuvanted human papillomavirus vaccine, HPV-16/18-AS04: Protocol for a cohort study using electronic health records in Yinzhou, China.

This protocol was developed to conduct population-wide surveillance of the bivalent HPV-16/18-AS04-adjuvanted human papillomavirus (HPV) vaccine in terms of uptake and safety outcomes including potential immune-mediated diseases (pIMDs) and pregnancy-related outcomes in China. The study will use electronic health records from 2010 to 2020 from the Yinzhou Regional Health Information Platform and include a population-based cohort of female permanent residents aged 9-45 years. Baseline and follow-up periods will be defined according to the 2017 introduction of HPV-16/18-AS04 in China.

The Burden of Type 2 Diabetes in Adolescents and Young Adults in China: A Secondary Analysis from the Global Burden of Disease Study 2021.

Early-onset type 2 diabetes (T2D) is an increasingly serious public health issue, particularly in China. This study aimed to analyze the characteristics of disease burden, secular trend, and attributable risk factors of early-onset T2D in China. Using data from the Global Burden of Disease (GBD) 2021, we analyzed the age-standardized rate (ASR) of incidence, disability-adjusted life years (DALYs), and mortality rates of T2D among individuals aged 15 to 39 years in China from 1990 to 2021.

Migration of total petroleum hydrocarbon and heavy metal contaminants in the soil-groundwater interface of a petrochemical site using machine learning: impacts of convection and diffusion.

Convection and diffusion are key pathways for the migration of total petroleum hydrocarbons (TPH) and heavy metals (HMs) from soil to groundwater. However, the extent of their influence on pollutant migration, as well as the nonlinear relationships between these processes and pollutants, remains unclear. This study investigates the spatial distribution of TPH and HMs at a petrochemical site with complex hydrogeological conditions in southwestern China.

Fluorinated benzothiadiazole fluorescent probe based on ICT mechanism for highly selectivity and sensitive detection of fluoride ion.

Excessive fluoride ion (F) in the environment can affect health and even endanger life when ingested by the human body. However, most fluoride probes have the disadvantages of low sensitivity and long detection time. Herein, fluorescent probe 3a is successfully synthesized by linking two acetylenyltrimethylsilyl groups at both ends of the fluorinated benzothiadiazole core.

Influence of early use of sodium-glucose transport protein 2 inhibitors, glucagon-like peptide-1 receptor agonists and dipeptidyl peptidase-4 inhibitors on the legacy effect of hyperglycemia.

Background: A phenomenon known as legacy effect was observed that poor glycemic control at early stage of patients with newly-diagnosed type 2 diabetes (T2D) increases the risk of subsequent cardiovascular diseases (CVD). Early use of some novel anti-hyperglycemic agents, such as sodium-glucose transport protein 2 inhibitors (SGLT-2i), may attenuate this effect, but the evidence is limited.

Methods: Two retrospective cohorts of newly diagnosed T2D patients from 2010-2023 were assembled using the Yinzhou Regional Health Care Database (YRHCD) with different definitions of the early exposure period - the 1-year exposure cohort and 2-year exposure cohort, which were comprised of subjects who had HbA1c measurement data within 1 year and 2 years after their T2D diagnosis, respectively.

Exploring Alashan Ground Squirrel (Spermophilus alashanicus) Diversity: Metagenomic and Transcriptomic Datasets from the Helan Mountains.

This study investigates the adaptive strategies of the Alashan Ground Squirrel (Spermophilus alashanicus) in response to habitat changes, as rodents are sensitive indicators of ecosystem changes. Despite its ecological importance, the genome and microbiome of this species have not been thoroughly studied. This research fills this gap by presenting the first comprehensive metagenomic and transcriptomic datasets of the species.

The pRb/RBL2-E2F1/4-GCN5 axis regulates cancer stem cell formation and G0 phase entry/exit by paracrine mechanisms.

The lethality, chemoresistance and metastatic characteristics of cancers are associated with phenotypically plastic cancer stem cells (CSCs). How the non-cell autonomous signalling pathways and cell-autonomous transcriptional machinery orchestrate the stem cell-like characteristics of CSCs is still poorly understood. Here we use a quantitative proteomic approach for identifying secreted proteins of CSCs in pancreatic cancer.

Fructose induces hepatic steatosis in adolescent mice linked to the disorders of lipid metabolism, bile acid metabolism, and autophagy.

The effects of excessive fructose intake on the development and progression of metabolic disorders have received widespread attention. However, the deleterious effects of fructose on the development of hepatic metabolic disease in adolescents and its potential mechanisms are not fully understood. In this study, we investigated the effects of isocaloric fructose-rich diets on the liver of adolescent mice.

Exposure to the environmental pollutant chlorpyrifos induces hepatic toxicity through activation of the JAK/STAT and MAPK pathways.

Chlorpyrifos (CHP) is an inexpensive highly effective organophosphate insecticide used worldwide. The unguided and excessive use of CHP by farmers has led to its significant accumulation in crops as well as contamination of water sources, causing health problems for humans and animals. Therefore, this study evaluated the toxicological effects of exposure to the environmental pollutant CHP at low, medium, and high (2.

Ce/N @BC prepared based on plant metallurgy strategy: A novel activator of peroxymonosulfate for the degradation of sulfamethoxazole.

A novel carbon catalyst was created based on plant metallurgy strategy for organic pollutants removal. Plants rich in CeO NPs in water were used as carbon precursors and pyrolyzed with urea to obtain Ce/N co-doped carbon catalysts, which were used in the degradation of sulfamethoxazole (SMX) by active peroxymonosulfate (PMS). The results showed that the Ce/N @BC/PMS system achieved to 94.

Insights into the potential applications of permanganate/peroxymonosulfate systems: enhancement amorphous MnO, effects of water matrices, and optimization using response surface methodology.

In this study, we developed a novel self-catalytic oxidation system involving peroxymonosulfate (PMS) and permanganate (KMnO), named as CUPP, to efficiently mineralize sulfamethoxazole (SMX) in groundwater. It was found that amorphous MnO derived from the reduction of KMnO can directly adsorb HSO, a complex hydroxyl group, mediate the internal disproportionation reaction of HSO with the manganese complex, and effectively activate PMS, thereby promoting the oxidation of SMX and its degradation intermediates through sulfonate radiation. Furthermore, by using electron spin resonance (EPR), HPLC/MS full scan, and response surface methodology, the coexistence of HO˙, SO˙, O˙, O, and active chlorine (Cl, HOCl) in the CUPP system was confirmed.

AI-enhanced chemical paradigm: From molecular graphs to accurate prediction and mechanism.

The development of accurate and interpretable models for predicting reaction constants of organic compounds with hydroxyl radicals is vital for advancing quantitative structure-activity relationships (QSAR) in pollutant degradation. Methods like molecular descriptors, molecular fingerprinting, and group contribution methods have limitations, as traditional machine learning struggles to capture all intramolecular information simultaneously. To address this, we established an integrated graph neural network (GNN) with approximately 12 million learnable parameters.

An RNA-Seq analysis of coronavirus in the skin of the Pangolin.

Protection of the Critically Endangered East Asian Pangolin species is hampered by the vulnerability of captive individuals to infection. Studies have previously shown the pangolin to have a unique pseudogenisation of many immunity genes (including IFNE, IFIH1, cGAS, STING, TLR5, and TLR11), and we suspected that these losses could account for this vulnerability. Here we used RNA-Seq data to show the effect of these gene losses on the transcriptional response to a viral skin infection in a deceased pangolin.

Identification CCL2,CXCR2,S100A9 of the immune-related gene markers and immune infiltration characteristics of inflammatory bowel disease and heart failure via bioinformatics analysis and machine learning.

Background: Recently, heart failure (HF) and inflammatory bowel disease (IBD) have been considered to be related diseases with increasing incidence rates; both diseases are related to immunity. This study aims to analyze and identify immune-related gene (IRG) markers of HF and IBD through bioinformatics and machine learning (ML) methods and to explore their immune infiltration characteristics.

Methods: This study used gene expressiondata (GSE120895, GSE21610, GSE4183) from the Gene Expression Omnibus (GEO) database to screen differentially expressed genes (DEGs) and compare them with IRGs from the ImmPort database to obtain differentially expressed immune-related genes (DIRGs).