Predicting the risk of threatened abortion using machine learning methods: a comparative study.

Background And Objective: Threatened abortion, a common pregnancy complication that often leading to abortion, is hard to predict due to its non-specific symptoms and difficulty in differentiating from other early pregnancy bleeding causes. Current diagnostic methods like serial ultrasounds and clinical monitoring are time-consuming and lack timeliness. To fill the gap in using advanced analytics for early detection and risk stratification, this study develops a machine learning (ML) model based on routine blood data to better predict threatened abortion, providing a reference for early detection and intervention.

Cuproptosis- and m6A-related lncRNA prognostic signature for breast cancer, in which Z68871.1 contributes to triple-negative breast cancer progression.

Breast cancer (BC) has the second-highest global incidence rate among all cancers and poses a great threat to human health. Cuproptosis, a newly discovered type of cell death, is expected to become a promising target for cancer therapy. Moreover, N6-methyladenosine (m6A) modification has been shown to be involved in a variety of cell death pathways that affect malignant tumor development; however, the relationship between cuproptosis and m6A modification remains unclear.

The Influence of Fracture Defect Size on Treatment Outcomes in Distal Femur Fractures: A Comparative Study Between Lateral Locking Plate and Double Plate Fixation.

Objective: Double plate (DP) fixation does not significantly improve outcomes compared to lateral locking plate (LLP-only) fixation for distal femur fractures (DFFs). We hypothesize this is due to the absence of clear indications for the application of these two fixation methods. This study aims to clarify the impact of metaphyseal defect size on the outcomes of these two treatments, in order to optimize surgical efficacy and minimize complications.

Arbutin ameliorated depression by inhibiting neuroinflammation and modulating intestinal flora.

Background: Arbutin (AR), a natural glycoside compound widely distributed in botanical sources, exerts neuroprotective properties. Nevertheless, the pharmacological effect of AR on depression and its underlying mechanism remain undefined.

Methods: The mice were induced by chronic unpredictable mild stress (CUMS) procedure 16S rRNA sequencing and metabolomic analyses were conducted.

Integrative multi-omics profiling deciphers tumor microenvironment heterogeneity and immunotherapy vulnerabilities in lung neuroendocrine carcinomas.

Introduction: Lung neuroendocrine carcinomas (Lu-NECs) are rare, highly aggressive lung tumors with poor prognosis and limited therapeutic options. Understanding the tumor immune microenvironment (TIME) is crucial towards personalized therapeutic strategies.

Objectives: This study aims to systematically characterize the heterogeneity and complexity of the TIME in Lu-NECs by integrating proteomic, transcriptomic, and genomic data.

Obacunone Alleviates Thalamic Pain via Promoting LCN2-Mediated Phagocytosis of Astrocytes in Mice.

Thalamic pain is a common pain syndrome following thalamic stroke with limited therapeutic options. Though the pathogenesis of thalamic pain is far from clear, accumulating studies have demonstrated that the ectopic activity of thalamic glial cells contributes to allodynia development after thalamic hemorrhage (TH). Obacunone (Oba) is a highly oxygenated triterpenoid extracted from a Chinese edible medicinal herb, Phellodendron, with a broad spectrum of biological activities in mediating glial depolarization.

Correction: Effects of the DailyColors™ polyphenol supplement on serum proteome, cognitive function, and health in older adults at risk of cognitive and functional decline.

Correction for 'Effects of the DailyColors™ polyphenol supplement on serum proteome, cognitive function, and health in older adults at risk of cognitive and functional decline' by Mary O'Leary , , 2025, , 4505-4520, https://doi.org/10.1039/d4fo06259k.

Advancing Zero-Shot Digital Human Quality Assessment Through Text-Prompted Evaluation.

Digital humans have witnessed extensive applications in various domains, necessitating related quality assessment studies. However, there is a lack of comprehensive digital human quality assessment (DHQA) databases. To address this gap, we propose SJTU-H3D, a subjective quality assessment database specifically designed for full-body digital humans.

Bidirectional Phosphorescent Neuroplasticity for All-Optical Neurovision.

All-optical neuromorphics that can capture, process, and output photonic signals are in prospect to advance optical computing and imaging. Bidirectional neuroplasticity is essential for executing training and inference in optical neural networks, but most of the all-optical hardware only exhibits unidirectional weight modulation. Here, we explore bidirectional neuroplasticity in carbon dot phosphorescence (CDP) with potentiation and depression synaptic behaviors capable of neuroregulation for photonic intensity.

Spatiotemporal single-cell analysis elucidates the cellular and molecular dynamics of human cornea aging.

Background: The human cornea is a transparent and uniquely ordered optical-biological system. Precise coordination of its cellular mechanisms is essential to maintain its transparency and functionality. However, the spatial, cellular and molecular architecture of the human cornea and its intercellular interactions during aging have not been elucidated.

Enabling I/I Redox Couple toward High-Voltage Zn-Polyiodide Batteries by the Iodide-π Conjugation Effect.

Distinct from the conventional I/I redox couple (1.299 V), the I/I redox couple (1.552 V) can enhance the output voltage and achieve higher energy density, which exhibits great development potential.

Facial recognition and analysis: A machine learning-based pathway to corporate mental health management.

Background: In modern workplaces, emotional well-being significantly impacts productivity, interpersonal relationships, and organizational stability. This study introduced an innovative facial-based emotion recognition system aimed at the real-time monitoring and management of employee emotional states.

Methods: Utilizing the RetinaFace model for facial detection, the Dlib algorithm for feature extraction, and VGG16 for micro-expression classification, the system constructed a 10-dimensional emotion feature vector.

Exosome-Functionalized Self-Carrier Enzyme-Like/Drug With Triple Amplified Anti-Oxidative Stress for Synergistic Depression Therapy.

Depression, a severe disorder affecting both physical and mental health, is commonly treated with first-line antidepressants, which often exhibit limited efficacy due to poor penetration of the blood-brain barrier (BBB) and significant side effects, thus requiring the exploitation of biocompatible and effective treatments. Recent studies suggest that depression is closely linked to an imbalance in oxidative stress and subsequent inflammatory responses. Antioxidant therapies and targeting oxidative stress in inflammatory depression are therefore emerging as promising strategies.

Proteogenomic Characterization of High-Grade Lung Neuroendocrine Carcinoma Deciphers Molecular Diversity and Potential Biomarkers of Different Histological Subtypes in Chinese Population.

High-grade lung neuroendocrine carcinomas (Lu-NECs) are clinically refractory malignancies with poor prognosis and limited therapeutic advances. The biological and molecular features underlying the histological heterogeneity of Lu-NECs are not fully understood. In this study, we present a multi-omics integration of whole-exome sequencing and deep proteomic profiling in 93 Chinese Lu-NECs to establish the first comprehensive proteogenomic atlas of this disease spectrum.

Assessment of Physical Properties, Obturation Quality, and Cytocompatibility/Osteogenic Potential of KP-Root SP: A New Calcium Silicate-based Bio-ceramic Sealer.

Introduction: The study aims to evaluate the physical properties, obturation quality, biocompatibility, and osteogenic induction characteristics of KP-Root SP with iRoot SP.

Methods: The evaluation of flow, film thickness, radiopacity, and solubility was conducted according to ISO 6876 Dentistry-Root Canal Sealing Materials. Forty isolated premolars, after preparation, were numbered and randomly assigned into 2 groups, and root-filled using size-fitted gutta-percha master cones along with KP-Root SP or iRoot SP sealers.

Zhizichi decoction alleviates depressive-like behaviors through modulating mitochondria-associated membrane via the IP3R3-GRP75-VDAC1 complex.

Ethnopharmacological Relevance: Zhizichi Decoction (ZZCD), a traditional Chinese medicine (TCM), is derived from the combination of Gardenia jasminoides J. Ellis [Rubiaceae] and Semen Sojae Praeparatum, a fermented derivative of Glycine max (L.) Merr.

Effects of peroxidized lipids on intestinal morphology, antioxidant capacity and gut microbiome in piglets.

This study investigated the effect of peroxidized lipids on piglets' growth performance, intestinal morphology, inflammatory reactions, oxidative stress in the liver, duodenum, jejunum, ileum, and colon, and ileal microbiota. Twenty piglets (Duroc × [Landrace × Yorkshire]; age = 21 d old, BW = 6.5 ± 1 kg) were randomly assigned to two groups with 10 replicates per group and one piglet per replicate.

MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model.

With the evolution of storage and communication protocols, ultra-low bitrate image compression has become a highly demanding topic. However, all existing compression algorithms must sacrifice either consistency with the ground truth or perceptual quality at ultra-low bitrate. During recent years, the rapid development of the Large Multimodal Model (LMM) has made it possible to balance these two goals.

Synergistic enhancement of the Ag/ZIF-67 cage@MXene 3D heterogeneous structure for ultrahigh SERS sensitivity and stability.

There is an urgent need in the field for rapid extraction and analysis of target molecules from irregular surfaces. The application of SERS technology is often limited by low adhesion between precious metal nanoparticles and the substrate and complex fabrication processes. In order to solve this problem, a carbon fiber cloth (CFC) loaded Ag/ZIF-67 cage@MXene 3D detection platform (AZMC) was constructed in this study.

Flexible Ag nanoparticle-decorated SU-8 micron-column array films as sensitive SERS substrates for in situ detection of pesticide residues.

In this study, we prepared large-area polydimethylsiloxane (PDMS) 3D flexible films deposited with silver nanoparticles (Ag NPs) by assembling Ag NPs on ordered micron-column (MC) arrays fabricated using SU-8 colloidal lithography (Ag NP@SU-8-MC). The large-scale, highly ordered 3D MC array flexible film offers numerous adsorption sites for densely packed Ag NPs. High-density sub-nanometer gaps between Ag NPs create spatial hot spots, enhancing the electromagnetic field.

Leveraging pharmacovigilance data to predict population-scale toxicity profiles of checkpoint inhibitor immunotherapy.

Immune checkpoint inhibitor (ICI) therapies have made considerable advances in cancer immunotherapy, but the complex and diverse spectrum of ICI-induced toxicities poses substantial challenges to treatment outcomes and computational analysis. Here we introduce DySPred, a dynamic graph convolutional network-based deep learning framework, to map and predict the toxicity profiles of ICIs at the population level by leveraging large-scale real-world pharmacovigilance data. DySPred accurately predicts toxicity risks across diverse demographic cohorts and cancer types, demonstrating resilience in small-sample scenarios and revealing toxicity trends over time.

Age-Related Hearing Impairment: Genome and Blood Methylome Data Integration Reveals Candidate Epigenetic Biomarkers.

Age-related hearing impairment (ARHI) is a major planetary health burden that is in need of precision medicine for prevention, diagnosis, and treatment. The present study was set out to identify candidate epigenetic markers for ARHI. Associations of genetically predicted DNA methylation levels with ARHI risk were evaluated using two sets of blood DNA methylation genetic prediction models in 147,997 cases and 575,269 controls of European descent.

Characteristics of adverse reactions of three anti-glioma drugs in WHO-VigiAccess.

Introduction: Antitumor medications such as Avastin, Berubicin, and Temozolomide have fundamentally transformed the treatment landscape for gliomas by exhibiting potent pharmacological effects on both high-grade and low-grade gliomas. This study aims to determine which anti-glioma medication presents the lowest risk for personalized use in clinical patients by assessing the adverse drug reactions (ADRs) associated with these medications as reported in the World Health Organization (WHO) VigiAcess database, and by comparing the characteristics of adverse responses among the three drugs.

Methods: This investigation employs a retrospective descriptive analysis method.