DTI-BGCGCN: A novel bipartite graph-based cluster graph convolutional network for drug-target interaction prediction in modern and traditional chinese medicine.

Accurate prediction of Drug-Target Interactions (DTIs) is crucial for drug discovery and development. While current research focuses predominantly on modern medicine, we propose DTI-BGCGCN, a novel predictive model that integrates a bipartite drug-target attribute graph with a Cluster Graph Con- volutional Network (ClusterGCN) for both modern and traditional Chinese medicine. Our approach employs a bipartite attribute graph to efficiently en- capsulate drug-target relationships and common features, while ClusterGCN classifies different graph topological structures and expedites the training process.

MMDDI-SSE: A Novel Multi-Modal Feature Fusion Model With Static Subgraph Embedding for Drug-Drug Interaction Event Prediction.

Artificial intelligence techniques play a pivotal role in the accurate identification of drug-drug interaction (DDI) events, thereby informing clinical decisions and treatment regimens. While existing DDI prediction models have made significant progress by leveraging sequence features such as chemical substructures, targets, and enzymes, they often face limitations in integrating and effectively utilizing multi-modal drug representations. To address these limitations, this study proposes a novel multi-modal feature fusion model for DDI event prediction: MMDDI-SSE.

Spatiotemporal prevalence of COVID-19 and SARS-CoV-2 variants in Africa.

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has caused significant public health and socioeconomic crises across Africa; however, the prevalent patterns of COVID-19 and the circulating characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants in the continent remain insufficiently documented.

Methods: In this study, national data on case numbers, infection incidences, mortality rates, the circulation of SARS-CoV-2 variants, and key health indexes were collected from various official and professional sources between January 2020 and December 2023 were analyzed with SaTScan and geographically weighted regression (GWR).

Results: The prevalent profiles and circulating features of SARS-CoV-2 across the African continent, including its five regions and all African countries, were analyzed.

EasyMetagenome: A user-friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research.

Shotgun metagenomics has become a pivotal technology in microbiome research, enabling in-depth analysis of microbial communities at both the high-resolution taxonomic and functional levels. This approach provides valuable insights of microbial diversity, interactions, and their roles in health and disease. However, the complexity of data processing and the need for reproducibility pose significant challenges to researchers.

Thrombus iodine-based perviousness is associated with recanalisation and functional outcomes in endovascular thrombectomy.

Background: Dual-energy CT (DECT) provides several novel methods to assess thrombus perviousness. We aimed to evaluate whether the novel thrombus perviousness measured with DECT is associated with improved recanalisation and better functional outcomes in acute ischaemic stroke (AIS) patients with endovascular thrombectomy (EVT).

Methods: 108 AIS patients with middle cerebral artery occlusion who underwent DECT angiography on admission and received EVT treatment between April 2020 and September 2023 were retrospectively analysed.

Impact of Individualized Comfort-Based Combined Anesthesia Protocol on Elderly Patients Undergoing Outpatient Oral Procedures.

Anxiety, fear, and lack of confidence in surgical outcomes can lower the pain threshold of elderly patients. Developing individualized and comfortable anesthesia protocols is critical for optimizing outcomes in elderly patients undergoing oral procedures. This study aimed to investigate the impact of an individualized comfort anesthesia protocol on elderly patients with varying levels of dental anxiety undergoing complex tooth extraction.

Evaluation of the Factors Influencing the Survival Times of Chinese Patients with Probable Creutzfeldt-Jacob Disease - China, 2020-2022.

What Is Already Known About This Topic?: The clinical durations of sporadic Creutzfeldt-Jacob disease (sCJD) patients typically do not exceed 2 years, though considerable variation exists. The factors influencing survival among Chinese sCJD patients remain incompletely characterized.

What Is Added By This Report?: A comprehensive evaluation of 31 factors across 7 categories was conducted in a retrospective cohort of 300 probable Chinese sCJD patients.

Histone deacetylase inhibiting nanoprodrugs for enhanced chemodynamic therapy through multistage downregulating glutathione.

The unique redox homeostasis in tumor cells makes chemodynamic therapy (CDT) a promising strategy for cancer treatment. However, high glutathione (GSH) level within tumor cells severely impacts the efficacy of CDT. Therefore, reducing intracellular GSH levels has become an approach to enhance CDT.

β-synuclein in cerebrospinal fluid as a potential biomarker for distinguishing human prion diseases from Alzheimer's and Parkinson's disease.

Background: β-synuclein (β-syn), mainly expressed in central nerve system, is one of the biomarkers in cerebrospinal fluid (CSF) and blood for synaptic damage, which has been reported to be elevated in CSF and blood of the patients of prion diseases (PrDs).

Methods: We analyzed 314 CSF samples from patients in China National Surveillance for CJD. The diagnostic groups of the 223 patients with PrDs included sporadic Creutzfeldt-Jacob disease (sCJD), genetic CJD (gCJD), fatal familial insomnia (FFI) and Gerstmann-Straussler-Scheinker (GSS).

Construction of an Artificially Intelligent Model for Accurate Detection of HCC by Integrating Clinical, Radiological, and Peripheral Immunological Features.

Background: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. We aimed to develop a model with multi-modal features (MMF) using artificial intelligence (AI) approaches to enhance the performance of HCC detection.

Materials And Methods: A total of 1,092 participants were enrolled from 16 centers.

Unlocking Neuroinflammation: A Balanced Art for Therapeutics of Prion Disease.

Neuroinflammation plays a dual role in prion diseases, contributing both to the clearance of misfolded scrapie-like prion protein and to neuropathology through chronic activation of inflammatory pathways. Key mechanisms, including M-CSF/CSF1R signaling, NLRP3 inflammasome activation, and the Galectin-3/TREM2 axis, etc., highlight the complexity of targeting neuroinflammation for therapeutic intervention.

MMPD-DTA: Integrating Multi-Modal Deep Learning with Pocket-Drug Graphs for Drug-Target Binding Affinity Prediction.

Predicting drug-target binding affinity (DTA) is a crucial task in drug discovery research. Recent studies have demonstrated that pocket features and interactions between targets and drugs significantly improve the understanding of DTA. However, challenges remain, particularly in the detailed consideration of both global and local information and the further modeling of pocket features.

A Stable Zn(II) Metal-Organic Framework as Turn-On and Blue-Shift Fluorescence Sensor for Amino Acids and Dipicolinic Acid in Living Cells or Using Aerosol Jet Printing.

Amino acids and dipicolinic acid (DPA) are important biomarkers for identifying human health. Establishing rapid, accurate, sensitive, and simple assays is essential for disease prevention and early diagnosis. In this work, a novel Zn(II) metal-organic framework (MOF) with the formula {[Zn(μ-OH)(BTDI)(dpp)]·dpp·4HO·2DMF} (, where denotes Jiangxi University of Science and Technology, HBTDI = 5,5'-(benzo[][1,2,5]thiadiazole-4,7-diyl)diisophthalic acid; dpp = 1,3-di(4-pyridyl)propane) was successfully synthesized via a mixed-ligands strategy.

Bifunctional cascaded single-atom nanozymes for enhanced photodynamic immunotherapy through dual-depressing PD-L1 and regulating hypoxia.

As a promising anti-tumor modality, photodynamic immunotherapy (PDIT) has been applied for the treatment of many solid tumors. However, tumor hypoxic condition and immunosuppressive microenvironment severely limit the treatment outcome of PDIT. Here, we have designed a hairpin tetrahedral DNA nanostructure (H-TDN)-modified bifunctional cascaded Pt single-atom nanozyme (PCFP@H-TDN) with encapsulation of the photosensitizer.

Leech-Inspired Amphibious Soft Robot Driven by High-Voltage Triboelectricity.

Leech locomotion, characterized by alternating sucker attachment and body contraction provides high adaptability and stability on complex terrains. Herein, a leech-inspired triboelectric soft robot is proposed for the first time, capable of amphibious movement, climbing, and load-carrying crawling. A high-performance triboelectric bionic robot system is developed to drive and control electro-responsive soft robots.

Wet Photolithography From Hydrogen Abstraction of a Quasi-Orthogonal Aggregation-Induced Emitter.

A new aggregation-induced emission (AIE) luminogen is obtained by dimerizing acridin-9(10H)-one (Ac), an aggregation-caused quenching (ACQ) effect monomer via an N─N bond and forming 9H,9'H-[10,10'-biacridine]-9,9'-dione (DiAc) with D symmetry. The quenching of DiAc in solution is ascribed to the enhanced basicity promoting hydrogen bonding and then a hydrogen abstraction (HA) reaction and/or an unallowed transition in frontier orbitals with the same symmetry facilitating intersystem crossing. It is found that emissive Ac is one product of the non-emissive DiAc solution in the HA reaction activated by UV irradiation.

COVID-19 outbreaks caused by different SARS-CoV-2 variants: a descriptive, comparative study from China.

Objectives: To understand the epidemic characteristics of various SARS-CoV-2 variants, we mainly focus on analyzing general epidemic profiles, viral mutation, and evolution of COVID-19 outbreaks caused by different SARS-CoV-2 variants of concern (VOCs) in China as of August 2022.

Methods: We systematically sorted out the general epidemic profiles of outbreaks caused by various SARS-CoV-2 VOCs in China, compared the differences of outbreaks caused by Delta and Omicron VOCs, and analyzed the mutational changes of subvariants between the same outbreak and different outbreaks.

Findings: By 15 August 2022, a total of 2, 33, and 124 COVID-19 outbreaks caused by Alpha, Delta, and Omicron VOCs, respectively, were reported in different regions of China.

DeepTGIN: a novel hybrid multimodal approach using transformers and graph isomorphism networks for protein-ligand binding affinity prediction.

Predicting protein-ligand binding affinity is essential for understanding protein-ligand interactions and advancing drug discovery. Recent research has demonstrated the advantages of sequence-based models and graph-based models. In this study, we present a novel hybrid multimodal approach, DeepTGIN, which integrates transformers and graph isomorphism networks to predict protein-ligand binding affinity.

Activation of IP10/CXCR3 Signaling is Highly Coincidental with PrP Deposition in the Brains of Scrapie-Infected Mice.

Objective: To analyze the relationship between Chemokine IP10 and its receptor CXCR3 during prion infection.

Methods: We investigated the increases in IP10 signals, primarily localized in neurons within the brains of scrapie-infected mice, using western blotting, ELISA, co-immunoprecipitation, immunohistochemistry, immunofluorescence assays, and RT-PCR.

Results: Both CXCR3 levels and activation were significantly higher in the brains of scrapie-infected mice and prion-infected SMB-S15 cells.

Using a stable radical as an "electron donor" to develop a radical photosensitizer for efficient type-I photodynamic therapy.

Among type I photosensitizers, stable organic radicals are superior candidate molecules for hypoxia-overcoming photodynamic therapy. However, their wide applications are limited by complicated preparation processes and poor stabilities. Herein, a nitroxide radical was simply synthesized by introducing a commercially available "TEMPO" moiety.

webTWAS 2.0: update platform for identifying complex disease susceptibility genes through transcriptome-wide association study.

Transcriptome-wide association study (TWAS) has successfully identified numerous complex disease susceptibility genes in the post-genome-wide association study (GWAS) era. Over the past 3 years, the focus of TWAS algorithms has shifted from merely identifying associations to understanding how single nucleotide polymorphisms (SNPs) regulate gene expression, with a growing emphasis on incorporating fine-mapping techniques. Additionally, the rapid increase in GWAS summary statistics, driven largely by the UK Biobank and other consortia, has made it essential to update our webTWAS resource.

Effect of Substituents in Equatorial Hexaazamacrocyclic Schiff Base Ligands on the Construction and Magnetism of Pseudo Single-Ion Magnets.

Three mononuclear Dy compounds [DyL(PhSiO)][BPh]·MeCN·2HO (), [DyL(PhSiO)][BPh]·CHOH·HO (), and [DyL(PhSiO)(OAc)][BPh]·CHOH·3HO () and their corresponding Y diluted analogues [DyYL(PhSiO)][BPh]·MeCN·2HO (), [DyYL(PhSiO)][BPh]·CHOH·HO (), and [DyYL(PhSiO)(OAc)][BPh]·CHOH·3HO () were synthesized with hexaazamacrocyclic Schiff base ligands as an equatorial ligand. The substituents in the equatorial hexaazamacrocyclic Schiff base ligand show a significant effect on the replacement of the axial ligands. Compounds , , and are typical zero dc field single-molecule magnets with effective energy barriers () of 1092(6), 946.