IIB-DDI: Invariant Information Bottleneck Theory for Out-of-Distribution Drug-Drug Interaction Prediction.

Rapid and accurate identification of drug-drug interactions (DDIs) among multiple medications is crucial for various medical treatments, and clinical therapies. Currently, the increasing significance of molecular substructure interactions in DDI prediction has become a consensus. However, due to the uneven distribution of substructures in molecules and most methods do not consider the differences in substructure distributions, models may rely on spurious substructure relationships, thereby weakening their out-of-distribution (OOD) generalization ability.

Possible Association Between Concomitant Use of SSRIs with NSAIDs and an Increased Risk of Adverse Events Among People with Depressive Disorders: Data Mining of FDA Adverse Event Reporting System.

: Depression, a major global health issue, is commonly treated with selective serotonin reuptake inhibitors (SSRIs). Given the link between depression and inflammation, nonsteroidal anti-inflammatory drugs (NSAIDs) may have adjunctive benefits. Clinically, SSRIs and NSAIDs are often co-prescribed for comorbid pain or inflammatory conditions.

Molecular characteristics and genetic evolution of H9N2 avian influenza virus in eastern monsoon zone of China.

In recent years, H9N2 subtype avian influenza has become the dominant virus subtype in China's chicken and duck populations. It is important to carry out long-term surveillance and pathogenic characteristics of the H9N2 virus. The embrocated eggs of specific pathogen-free chickens were used for virus isolation from clinical samples and the genomic RNA of H9N2 isolates was subjected to RT-PCR amplification, and then followed by sequencing analysis.

Identification of conformational epitopes on VP1 of Senecavirus A by monoclonal antibodies and phage display.

Senecavirus A (SVA) has caused widespread outbreaks across various countries, leading to significant economic losses in the swine industry. Virus-neutralizing monoclonal antibodies (NAbs) play a crucial role in investigating host-virus interactions, facilitating vaccine development, and preventing SVA infections. In this study, eight NAbs targeting VP1 were generated, identifying seven distinct antigenic epitopes.

The Effects of Tea Polyphenols on the Emulsifying and Gelling Properties of Minced Lamb After Repeated Freeze-Thaw Cycles.

Minced lamb remains one of the most produced meat products in the meat industry, across both the food service and retail sectors. Tea polyphenols (TPs), renowned for their diverse biological activities, are increasingly being employed as natural food additives in research and development. Tea polyphenols at concentrations of 0.

Impact of salt and alkali on the cooking quality of noodles with different wheat starch granule sizes and the underlying mechanisms.

The underlying mechanisms of salt (NaCl) and alkali (kansui) on the cooking quality of wheat noodles with different B/A starch ratios were investigated from microstructural features, structural transformation of starch and protein during cooking by confocal laser scanning microscope (CLSM), fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), differential scanning calorimetry (DSC), and size exclusion high-performance liquid chromatography (SE-HPLC). The noodle group containing 1.0 % alkali exhibited the highest cooking loss (17.

TinyML-enabled fuzzy logic for enhanced road anomaly detection in remote sensing.

Advanced techniques for detecting and classifying road anomalies are crucial due to road networks' rapid expansion and increasing complexity. This study introduces a novel integration of Tiny Machine Learning (TinyML), remote sensing, and fuzzy logic through a fully connected U-Net architecture, TinyML-U-Net-FL, tailored for anomaly detection in resource-constrained environments. Our framework addresses critical gaps in existing methodologies, such as high computational demands and limited real-time processing capabilities, by leveraging model compression, quantization, and pruning techniques.

OrgaCCC: Orthogonal graph autoencoders for constructing cell-cell communication networks on spatial transcriptomics data.

Cell-cell communication (CCC) is a fundamental biological process essential for maintaining the functionality of multicellular organisms. It allows cells to coordinate their activities, sustain tissue homeostasis, and adapt to environmental changes. However, understanding the mechanisms underlying intercellular communication remains challenging.

Molecular dynamics simulation of crude oil detachment using ScCO and miscible agents on SiO surfaces.

Context: Carbon capture, utilization, and storage technology has garnered increasing attention across various industries. To further elucidate the mechanism of CO enhanced oil recovery, an amphiphilic surfactant was designed based on β-cyclodextrin. The mechanism of oil detachment from SiO was investigated through molecular dynamics simulations.

A Self-Circulated Microenvironment-Adaptive Nanozyme for Wound Healing Acceleration.

Nanozyme-mediated reactive oxygen species (ROS) homeostasis regulation in vivo is a promising strategy for accelerating the healing of pathogen-infected wounds. It is detrimental in nanozyme preparation to strike a balance between ROS production and scavenging, being adaptive to the wound microenvironment, especially to overcome the irreversible and inevitable inactivation caused by the enzymatic active center loss. Herein, with adjusting ligands and metal charge transfer, we prepared a nanozyme with a regenerated Fe(II) active center, which endowed cyclic and continuous oxidoreductase reactions of peroxidase, superoxide dismutase, catalase, and oxidase under the same neutral pH environment.

Retrogradation behavior of wheat starch gel affected by natural fermentation.

The retrogradation behavior of wheat starch gel influenced by natural fermentation was explored using a rheometer, texture analyzer, low-field nuclear magnetic resonance (LF-NMR), scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FITR), and differential scanning calorimetry (DSC). A notable decline in storage modulus (G') and hardness of gels was observed after starch natural fermentation. The T value decreased, and the hydrogen proton density increased correspondingly, suggesting that fermented starch gels could retain more water and reduce water migration and loss during retrogradation.

The Cytokinin Oxidase/Dehydrogenase TaCKX11-D Positively Regulates Grain Size in Wheat.

Grain size is one of the essential determinants of yield in wheat (Triticum aestivum L.). Cytokinin signaling affects grain size, and cytokinin oxidase/dehydrogenase (CKX) regulates cytokinin homeostasis by catalyzing cytokinin degradation.

Metabolomic Profiling of Reveals Disruption of Secondary Metabolite Biosynthesis Induced by Infection.

(patchouli) is an economically important aromatic plant widely used in the fragrance and pharmaceutical industries. This study investigates the effects of Corynespora leaf spot disease (CLSD) on the metabolic profiles and patchouli alcohol content of patchouli leaves. Utilizing gas chromatography-mass spectrometry (GC-MS), real-time PCR (qPCR), and comprehensive non-targeted metabolomic analyses (HS-SPME-GC-MS and LC-MS/MS), we compared diseased (LD-TJ) and healthy (CK) leaves.

Acceptance of advance care planning among older adults in Mainland China: a national cross-sectional study.

Background: Acceptance of advance care planning (ACP) among older adults is important for the promotion of ACP. It is of great importance to explore the acceptance of ACP and associated influencing factors among older adults in China based on the health ecology model (HEM).

Methods: Based on a national cross-sectional study in 2022, 4,180 older adults were included.

Efficacy of different treatment strategies in patients with mucopolysaccharidosis: a systematic review and network meta-analysis of randomized controlled trials.

This systematic review of randomized controlled trials (RCT) was conducted to evaluate the efficacy of enzyme replacement therapy (ERT) for patients with mucopolysaccharidosis (MPS). We systematically searched PubMed, Embase, Web of Science, and Cochrane databases up to August 22, 2023. Study design, interventions, and outcome data were extracted.

Insight into separation of wheat starch and gluten affected by ultrasound-assisted xylanase treatment.

This study developed an innovative approach for wheat starch-gluten separation (i.e. ultrasound-assisted xylanase treatment, U-Xyl), aiming at enhancing separation efficiency and improving products' quality.

Federated transfer learning with differential privacy for multi-omics survival analysis.

Multi-omics data often suffer from the "big $p$, small $n$" problem where the dimensionality of features is significantly larger than the sample size, making the integration of multi-omics data for survival analysis of a specific cancer particularly challenging. One common strategy is to share multi-omics data from other related cancers across multiple institutions and leverage the abundant data from these cancers to enhance survival predictions for the target cancer. However, due to data privacy and data-sharing regulations, it is challenging to aggregate multi-omics data of related cancers from multiple institutions into a centralized database to learn more accurate and robust models for the target cancer.

Exosomes delivering miR-129-5p combined with sorafenib ameliorate hepatocellular carcinoma progression via the KCTD1/HIF-1α/VEGF pathway.

Background: Potassium channel tetramerization domain-containing 1 (KCTD1) plays a critical role in transcriptional regulation and adipogenesis, but its significance in hepatocellular cancer (HCC) has not been reported.

Methods: Immunohistochemistry, Western blotting and quantitative real-time PCR analysis were performed to assess the expression of KCTD1 and related genes in HCC cells. MTT assays, colony formation, cell migration, invasion and the in-vivo mouse models were utilized to evaluate the function of KCTD1 in HCC progression.

Deletion of Tfap2a in hepatocytes and macrophages promotes the progression of hepatocellular carcinoma by regulating SREBP1/FASN/ACC pathway and anti-inflammatory effect of IL10.

The transcription factor AP-2α plays a crucial role in the control of tumor development and progression, and suppresses the proliferation and migration of hepatocellular carcinoma (HCC). However, the detailed function and mechanisms of AP-2α in the pathogenesis of HCC are still elusive. In the current study, we investigated the role of AP-2α regulation in liver injury-mediated HCC development.

CoupleVAE: coupled variational autoencoders for predicting perturbational single-cell RNA sequencing data.

With the rapid advances in single-cell sequencing technology, it is now feasible to conduct in-depth genetic analysis in individual cells. Study on the dynamics of single cells in response to perturbations is of great significance for understanding the functions and behaviors of living organisms. However, the acquisition of post-perturbation cellular states via biological experiments is frequently cost-prohibitive.

H2GnnDTI: hierarchical heterogeneous graph neural networks for drug-target interaction prediction.

Motivation: Identifying drug-target interactions (DTIs) is a crucial step in drug repurposing and drug discovery. The significant increase in demand and the expensive nature for experimentally identifying DTIs necessitate computational tools for automated prediction and comprehension of DTIs. Despite recent advancements, current methods fail to fully leverage the hierarchical information in DTIs.

Co-assembly of antimicrobial polypeptoids/carbon dots for internal-external cooperated sterilization.

Bacterial infections have emerged as a significant global public health challenge that requires urgent attention. In the research of popular antimicrobial agents, antimicrobial peptide mimics with good properties have the disadvantage of high toxicity, and nanomaterials with metal-doped carbon dots as the most representative have the problems of easy agglomeration and insufficient bactericidal effect. Herein, combined therapeutic strategy was proposed to reach the best compromise and sterilization effects.

Neutrophil-related immune-inflammatory biomarkers influence the early progression of medial medullary infarction.

Background: Medial medullary infarction (MMI) is a rare type of posterior circulation stroke for which accurate prognostication remains a challenge because of the limited predictive ability of the current models. Blood-derived biomarkers may provide valuable insights that extend beyond established prognostic factors. The aim of this study was to identify rapid and accessible biomarkers for predicting the early progression of MMI.

stAI: a deep learning-based model for missing gene imputation and cell-type annotation of spatial transcriptomics.

Spatial transcriptomics technology has revolutionized our understanding of cellular systems by capturing RNA transcript levels in their original spatial context. Single-cell spatial transcriptomics (scST) offers single-cell resolution expression level and precise spatial information of RNA transcripts, while it has a limited capacity for simultaneously detecting a wide range of RNA transcripts, hindering its broader applications. Characterizing the whole transcriptome level and comprehensively annotating cell types represent two significant challenges in scST applications.

Effect of Chinese-Yam-Based Emulsion Gel on Beef Emulsification Characteristics.

Addressing the prevalent issue of excessive fat consumption in contemporary diets, a novel method has been devised for the preparation of an emulsion gel enriched with healthful fatty acids which possesses superior emulsification characteristics. This innovative approach aims to serve as a viable substitute for the fat content in beef mince. This paper aims to evaluate the effect of emulsion gels, formulated primarily with Chinese yam as the key ingredient, on the emulsification properties and microstructural characteristics of beef mince.