LncSSBP1/FOXO3 axis modulates autophagy: a novel insight into bronchial epithelial cells defense against Talaromyces marneffei in-fection.

Background: While autophagy is pivotal in antimicrobial defense, its regulatory role in Talaromyces marneffei (TM) infected bronchial epithelium remains elusive.

Objective: To elucidate the impact of TM infection on autophagy in bronchial epithelial cells and to identify the key molecular regulators involved in this process.

Methods: Primary computational screening identified core autophagy modulators.

Application of a hybrid virtual-physical teaching model integrating mixed reality and 3D printing in clinical joint orthopedic education.

Objective: The diagnosis and treatment of arthropathic orthopaedic conditions are inherently linked to anatomical structures, necessitating strong spatial visualization abilities in students. Providing intuitively accessible methods for students to master specialized knowledge presents a formidable challenge for educators. This study aims to evaluate the pedagogical value of integrating 3D-printed model with mixed reality (MR) technology in clinical orthopaedic surgery education.

Comparative study of National Institute of Health criteria and TNM staging system in predicting the prognosis of gastrointestinal stromal tumours: a retrospective study.

Background: In 2009, the American Joint Commission on Cancer incorporated the gastrointestinal stromal tumours (GISTs) risk classification into the tumour, node, metastasis (TNM) staging system. We aimed to evaluate the prognostic value of the TNM staging system for GISTs by directly comparing it with the modified National Institutes of Health (NIH) criteria.

Materials And Methods: We /used data from the Surveillance, Epidemiology, and End Results (SEER) database (2010-2019) to retrospectively analyse patients with gastric and small intestinal/colorectal GISTs.

Therapeutic Potential of Compounds with High Affinity to BAG2 in Inhibiting Keloid Disease.

Purpose: Targeting the distinct genetic and protein expression profiles of keloids necessitates the identification of novel therapeutic targets. This study was aimed to elucidate the role of Bcl-2-associated athanogene 2 (BAG2) in keloid pathology and identify compounds with high-affinity to BAG2.

Patients And Methods: Cell migration, and cell proliferation assays, along with flow cytometry, were used to evaluate the effects of BAG2 on keloid fibroblasts (KFs) derived from tissue samples of patients with abdominal or chest keloids.

Overcoming ACQ: DPA-modified TICT-type AIEgens for high-resolution and multilevel latent fingerprint visualization.

Latent fingerprints (LFPs), as critical carriers of personal identification information, present a long-standing challenge for high-resolution imaging in forensic science. Aggregation-induced emission luminogens (AIEgens), known for their superior luminescence in aggregated or high-viscosity environments, have emerged as ideal candidates for high-contrast fingerprint visualization. In this study, we designed a series of novel AIEgens by introducing diphenylamine (DPA) donor groups at the 3- and 11-positions of a quinazolinone core, effectively constructing twisted intramolecular charge transfer (TICT) systems.

Predicting Prognosis of Light-Chain Cardiac Amyloidosis by Magnetic Resonance Imaging and Deep Learning.

Aims: Light-chain cardiac amyloidosis (AL-CA) is a progressive heart disease with high mortality rate and variable prognosis. Presently used Mayo staging method can only stratify patients into four stages, highlighting the necessity for a more individualized prognosis prediction method. We aim to develop a novel deep learning (DL) model for whole-heart analysis of cardiovascular magnetic resonance-derived late gadolinium enhancement (LGE) images to predict individualized prognosis in AL-CA.

The secretion of Pseudomonas unconventional peroxidase facilitates extracellular carbon acquisition from heterogeneous lignin.

The secretion of ligninolytic enzyme provides a competitive advantage for microbial survival. These enzymes are commonly transported to the extracellular milieu via signal peptides for the catabolism of lignin, which cannot be translocated through the cell membrane. However, some bacterial ligninolytic enzymes lack signal peptides, yet they can still be secreted.

Updating social evaluation during sleep.

Sleep is instrumental in the formation of long-lasting memories, including social evaluations and social knowledge. The modification of social evaluations holds profound significance for understanding and shaping societal dynamics. Here, we investigated how sleep could contribute to updating the social evaluation of a person generally perceived as unattractive.

Virtual noncontrast images of adrenal lesions: a photon-counting CT prospective study.

Background: The value of virtual noncontrast (VNC) images from photon-counting computed tomography (PCCT) for evaluating adrenal lesions and diagnosing adrenal adenomas remains to be clarified.

Materials And Methods: Participants with adrenal masses who underwent unenhanced and portal venous phase PCCT were prospectively included. Portal-venous phase images were reconstructed using conventional VNC (VNC) and PureCalcium VNC (VNC).

Associations between trajectories of plasma biomarkers for Alzheimer's disease, brain structures, and cognitive function: a prospective cohort study in the UK Biobank.

Plasma amyloid-β(Aβ)42/40 ratio, glial fibrillary acidic protein (GFAP), neurofilament light (NfL), and phosphorylated tau181(p-tau181) are promising biomarkers for Alzheimer's disease (AD)-related pathology. We aimed to explore the longitudinal trajectories of these biomarkers in association with changes in structural brain markers and cognition, and the impact of cognitive reserve on their associations with cognitive function. This cohort study included 1270 individuals (mean age 59.

Advanced exercise intervention for liver cirrhosis and sarcopenia: A development and feasibility study.

Sarcopenia is a risk factor for poor survival outcomes in patients with liver cirrhosis. This study aimed to construct an advanced exercise program for patients with liver cirrhosis and sarcopenia and verify its preliminary application effect. A preliminary draft of the advanced exercise program was developed through literature review.

An elite RNA-DEPENDENT RNA POLYMERASE3 allele enhances preharvest sprouting resistance in rice.

A new elite allele conferring enhanced preharvest sprouting resistance via hormonal pathways is a valuable target for molecular design breeding to improve seed quality and production stability.

Informed consent competency assessment for brain-computer interface clinical research and application in psychiatric disorders: A systematic review.

Background: Brain-computer interface (BCI) technology is rapidly advancing in psychiatry. Informed consent competency (ICC) assessment among psychiatric patients is a pivotal concern in clinical research.

Aim: To analyze the assessment of ICC and form a framework with multi-dimensional elements involved in ICC of BCI clinical research among psychiatric disorders.

Ferroelectric/Antiferroelectric HfZrO Artificial Synapses/Neurons for Convolutional Neural Network-Spiking Neural Network Neuromorphic Computing.

Brain-inspired neuromorphic computing offers significant potential for efficient and adaptive computational platforms. Emerging ferroelectric and antiferroelectric HfZrO devices provide key roles in convolutional neural network (CNN) and spiking neural network (SNN) computing with unique polarization switching characteristics. Here, we present ferroelectric/antiferroelectric HfZrO devices to realize functions of artificial synapse/neurons by element doping engineering.

End-to-end deep learning for the diagnosis of pelvic and sacral tumors using non-enhanced MRI: a multi-center study.

This study developed an end-to-end deep learning (DL) model using non-enhanced MRI to diagnose benign and malignant pelvic and sacral tumors (PSTs). Retrospective data from 835 patients across four hospitals were employed to train, validate, and test the models. Six diagnostic models with varied input sources were compared.

Poor Collateralization in T2DM: Role of SLC4A10+ MAIT Cells.

Background: Type 2 diabetes is strongly associated with impaired collateralization, which increases the risk of cardiovascular complications, such as myocardial infarction and heart failure. This study explored the immune cell dynamics in patients with type 2 diabetes with chronic total occlusion and their impact on collateralization.

Methods: Peripheral blood mononuclear cells were extracted from patients with type 2 diabetes with chronic total occlusion, exhibiting either good or poor collateralization.

Novel endoplasmic reticulum stress-related gene signature unveils CDKN3 as a prognosticator in neuroblastoma.

Background: Neuroblastoma (NB) is the most common extracranial solid tumor in children and a major cause of pediatric cancer mortality. This study aims to develop an endoplasmic reticulum (ER) stress-based risk model to evaluate patient prognosis, identify novel therapeutic targets, and predict immunotherapy responses.

Methods: NB cases with transcriptome and clinical data were obtained from Gene Expression Omnibus (GEO) and ArrayExpress databases.

Luteolin attenuates inflammation and apoptosis in LPS-induced ALI mice by activating the HGF/c-Met pathway.

Objective: To investigate the protective effects of luteolin on ALI induced by lipopolysaccharide (LPS) in male mice and to explore the underlying mechanisms.

Methods: A two-sample Mendelian randomization (MR) analysis was conducted to assess the causal relationship between hepatocyte growth factor (HGF) and acute respiratory distress syndrome (ARDS). Network pharmacology analysis was employed to identify herbs that mitigate inflammation and apoptosis by upregulating HGF expression and to determine the hub active ingredients.

The effect of financial goal pursuit on trust and trustworthiness among Chinese college students: Demographic differentials.

Background: College students' financial goal pursuit might have profound impacts on both individuals and society. Despite the well-established research on the impacts of financial goal pursuit on individuals' well-being, direct investigations into its effects on trust and trustworthiness among college students are relatively limited, especially in the Chinese context. Moreover, studies explored individual variations that might moderate the effects of financial goal pursuit on trust and trustworthiness are rare.

Roles of JNK, ERK, and PI3K/AKT signaling pathways in zinc-mediated alleviation of thermal stress-induced damage to the integrity and barrier function of primary cultured chick jejunal epithelial cells.

This study investigated the precise alleviating mechanisms of Zn on chick embryonic jejunal epithelial cells under thermal stress (TS) and elucidated signaling pathways directly involved in this process. Experiment 1 identified the effective concentrations of inhibitors or agonists for extracellular regulated protein kinase (ERK), c-Jun N-terminal kinase (JNK), and phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT). The data were analyzed using one-way ANOVA.

Semitransparent organic photovoltaics with wide geographical adaptability as sustainable smart windows.

Semitransparent organic photovoltaics (ST-OPVs) have gained significant attention due to their rapid iteration of high-efficiency photoactive materials and potential applications in building-integrated photovoltaics as smart windows. In this work, we establish a parameter (FoM) to evaluate the potential of photoactive materials for ST-OPVs, combining average visual transmittance, bandgap, and current density. PBOF and eC9 exhibit the highest FoM values of 0.

Clinical and genomic insights into Acinetobacter parvus: A rare pathogen with low antibiotic resistance and potential clinical implications.

Research Background: Traditionally seen as an environmental bacterium, Acinetobacter parvus has rarely been studied in clinical settings. Its role in human infections remains unclear, particularly in vulnerable populations. This study explores its biological traits, antibiotic resistance, and genomic features through the first systematic analysis of strain ZDL0830, isolated from an immunocompromised patient with an abscess.

MFE-Former: Disentangling Emotion-Identity Dynamics via Self-Supervised Learning for Enhancing Speech-Driven Depression Detection.

Acoustic features are crucial behavioral indicators for depression detection. However, prior speech-based depression detection methods often overlook the variability of emotional patterns across samples, leading to interference from speaker identity and hindering the effective extraction of emotional changes. To address this limitation, we developed the Emotional Word Reading Experiment (EWRE) and introduced a method combining self-supervised and supervised learning for depression detection from speech called MFE-Former.