The cGAS-STING pathway activates transcription factor TFEB to stimulate lysosome biogenesis and pathogen clearance.

Induction of autophagy is an ancient function of the cyclic GMP-AMP (cGAMP) synthase (cGAS)-stimulator of interferon genes (STING) pathway through which autophagic cargoes are delivered to lysosomes for degradation. However, whether lysosome function is also modulated by the cGAS-STING pathway remains unknown. Here, we discovered that the cGAS-STING pathway upregulated lysosomal activity by stimulating lysosome biogenesis independently of the downstream protein kinase TANK-binding kinase 1 (TBK1).

The correlation between Diabetes and age-related degeneration and the static and dynamic 3D mechanical distribution of different plantar regions.

Purpose: This study aimed to compare the distribution of plantar pressure and anterior-posterior (AP) or medial-lateral (ML) shear forces in healthy younger (HY) people, healthy older (HO) people, and diabetic patients, both in static standing and during gait.

Materials And Methods: A total of 20 HY adults, 16 HO adults and 15 diabetic patients were included. The static mechanical distribution measurements included: static horizontal, AP slope plane, and left/right slope standing.

A case report of severe pneumonia caused by infection complicated with severe atrial septal defect.

is an increasingly recognized human pathogen in recent years and was first isolated and reported in a sample of childhood diarrhea in Bangladesh. More and more cases of infection have been reported in recent years. Here we report a case of severe pneumonia caused by with severe atrial septal defect.

Gap-free telomere-to-telomere haplotype assembly of the tomato hind (Cephalopholis sonnerati).

The tomato hind (Cephalopholis sonnerati) is an emerging economically important grouper in recent years. With the increasing maturity of sequencing technologies and assembly methodologies, a higher quality reference genome has become both accessible and necessary. In this study, we present two telomere-to-telomere (T2T) gap-free haplotype assemblies of the tomato hind with lengths of 1039.

Mixed reality-assisted versus landmark-guided spinal puncture in elderly patients: protocol for a stratified randomized controlled trial.

Background: Performing spinal anesthesia in elderly patients with spine degeneration is challenging for novice practitioners. This stratified randomized controlled trial aims to compare the effectiveness of mixed reality-assisted spinal puncture (MRasp) with that of landmark-guided spinal puncture (LGsp) performed by novice practitioners in elderly patients.

Methods: This prospective, single-center, stratified, blocked, parallel randomized controlled trial will include 168 patients (aged ≥ 65 years) scheduled for elective surgery involving spinal anesthesia.

Artificial intelligence efficiently predicts gastric lesions, infection and lymph node metastasis upon endoscopic images.

Objective: Medical images have been increased rapidly in digital medicine era, presenting an opportunity for the intervention of artificial intelligence (AI). In order to explore the value of convolutional neural network (CNN) algorithms in endoscopic images, we developed an AI-assisted comprehensive analysis system for endoscopic images and explored its performance in clinical real scenarios.

Methods: A total of 6,270 white light endoscopic images from 516 cases were used to train 14 different CNN models.

The dynamic immune response of the liver and spleen in leopard coral grouper () to infection based on transcriptome analysis.

Leopard coral grouper () is one of the most important cultured fish in the Pacific and Indian oceans. is a serious pathogen causing serious skin ulceration and high mortality in . To gain more insight into the tissue-specific and dynamic immune regulation process of in response to infection, RNA sequencing (RNA-seq) was used to examine the transcriptome profiles in the spleen and liver at 0, 6, 12, 24, 48, and 72 h post-infection.

Role of FOXM1 and AURKB in regulating keratinocyte function in psoriasis.

Objective: This study investigated the effect of forkhead box M1 (FOXM1) and Aurora kinase B (AURKB) on the epidermal function of keratinocytes.

Methods: Bioinformatics analysis was used to analyze the co-expression network of FOXM1 and its correlation with AURKB. The expression of FOXM1 and AURKB in tissues and cells was detected by immunofluorescence and real-time quantitative polymerase chain reaction, respectively.

Parathyroid hormone mediates the adverse impact of air pollution exposure on serum 25-hydroxyvitamin D: A nationwide cross-sectional study in China.

Background: Maintaining normal levels of 25-hydroxyvitamin D [25(OH)D] and parathyroid hormone (PTH) is crucial for preserving skeletal health. However, evidence regarding the associations of exposure to air pollution with serum 25(OH)D and PTH were limited and ambiguous. Hence, the objective of this cross-sectional study was to systematically evaluate the association between air pollution [particulate matter ≤ 2.

Causal association between B cell count and psoriasis using two-sample Mendelian randomization.

To investigate the causality between B cell count and psoriasis by Mendelian randomization (MR). Collected B cell count and psoriasis data from IEU Open GWAS Project. Employed inverse variance weighting (IVW), MR-Egger, WM, weighted mode for analysis, ensuring result robustness.

Application of Electrophysiological Techniques in Assessing of Neuromuscular Junction-Related Disorders.

This review aims to comprehensively summarize the application of electrophysiological methods, specifically repetitive nerve stimulation (RNS) and single fiber electromyography (SFEMG), in the diagnosis of neuromuscular junction (NMJ) disorders, including myasthenia gravis, Lambert-Eaton syndrome, and sarcopenia in the elderly. Both RNS and SFEMG have demonstrated high sensitivity and specificity in detecting NMJ abnormalities. RNS aids in distinguishing presynaptic from postsynaptic lesions, while SFEMG provides direct evidence of NMJ function by assessing single motor unit action potentials.

Landscape of the Lumbar Cartilaginous End Plate Microbiota and Metabolites in Patients with Modic Changes.

Background: Modic changes (MCs), vertebral end plate and bone marrow damage observed by magnetic resonance imaging, are an independent risk factor for low back pain. The compositions of and interaction between microbiota and metabolites in the lumbar cartilaginous end plates (LCEPs) of patients with MCs have not been identified.

Methods: Patients with lumbar disc degeneration who were undergoing lumbar spinal fusion surgery were recruited between April 2020 and April 2021.

Pyrazolone-Protein Interaction Enables Long-Term Retention Staining and Facile Artificial Biorecognition on Cell Membranes.

Cell membrane genetic engineering has been utilized to confer cell membranes with functionalities for diagnostic and therapeutic purposes but concerns over cost and variable modification results. Although nongenetic chemical modification and phospholipid insertion strategies are more convenient, they still face bottlenecks in either biosafety or stability of the modifications. Herein, we show that pyrazolone-bearing molecules can bind to proteins with high stability, which is mainly contributed to by the multiple interactions between pyrazolone and basic amino acids.

A narrative review of the measurement methods for biomechanical properties of plantar soft tissue in patients with diabetic foot.

This article provides an overview of the development history and advantages and disadvantages of measurement methods for soft tissue properties of the plantar foot. The measurement of soft tissue properties is essential for understanding the biomechanical characteristics and function of the foot, as well as for designing and evaluating orthotic devices and footwear. Various methods have been developed to measure the properties of plantar soft tissues, including ultrasound imaging, indentation testing, magnetic resonance elastography, and shear wave elastography.

Novel machine-learning prediction tools for overall survival of patients with chondrosarcoma: Based on recursive partitioning analysis.

Background: Chondrosarcoma (CHS), a bone malignancy, poses a significant challenge due to its heterogeneous nature and resistance to conventional treatments. There is a clear need for advanced prognostic instruments that can integrate multiple prognostic factors to deliver personalized survival predictions for individual patients. This study aimed to develop a novel prediction tool based on recursive partitioning analysis (RPA) to improve the estimation of overall survival for patients with CHS.

3D Reconstruction From a Single Sketch via View-Dependent Depth Sampling.

Reconstructing a 3D shape based on a single sketch image is challenging due to the inherent sparsity and ambiguity present in sketches. Existing methods lose fine details when extracting features to predict 3D objects from sketches. Upon analyzing the 3D-to-2D projection process, we observe that the density map, characterizing the distribution of 2D point clouds, can serve as a proxy to facilitate the reconstruction process.

Correlation analysis between driver gene mutation and clinicopathological features in lung adenocarcinoma based on real-world cumulative clinical data.

Background: Driver genes are essential predictors of targeted therapeutic efficacy. Detecting driver gene mutations in lung adenocarcinoma (LUAD) patients can help to screen for targeted drugs and improve patient survival benefits. This study aims to investigate the mutation characterization of driver genes and their correlation with clinicopathological features in LUAD.

Glutathione-Scavenging Celastrol-Cu Nanoparticles Induce Self-Amplified Cuproptosis for Augmented Cancer Immunotherapy.

Cuproptosis is a novel copper-dependent programmed cell death. The efficacy of cuproptosis is highly dependent on intracellular copper accumulation and counteracted by a high level of glutathione (GSH) in tumor cells. Here, this work develops a self-amplified cuproptosis nanoparticles (Cel-Cu NP) using celastrol (Cel), a natural product isolated from medical plant.

Active and machine learning-enhanced discovery of new FGFR3 inhibitor, Rhapontin, through virtual screening of receptor structures and anti-cancer activity assessment.

This study bridges traditional remedies and modern pharmacology by exploring the synergy between natural compounds and Ceritinib in treating Non-Small Cell Lung Cancer (NSCLC), aiming to enhance efficacy and reduce toxicities. Using a combined approach of computational analysis, machine learning, and experimental procedures, we identified and analyzed PD173074, Isoquercitrin, and Rhapontin as potential inhibitors of fibroblast growth factor receptor 3 (FGFR3). Machine learning algorithms guided the initial selection, followed by Quantitative Structure-Activity Relationship (QSAR) modeling and molecular dynamics simulations to evaluate the interaction dynamics and stability of Rhapontin.

Portable Device with Nicking Enzyme Enhanced Special RCA on μPADs toward Sensitive Detection of High-Risk HPV Infection.

Development of an accurate, rapid, and cost-effective portable device is in high demand for point-of-care molecular diagnosis toward disease screening. Here we report a one-pot homogeneous isothermal assay that leverages nicking endonuclease and minimum secondary structured rolling circle amplification (N-MSSRCA) for fast and sensitive quantification of nucleic acids on distance microfluidic paper-based analytical devices (dμPAD) by a portable custom-made fluorescence detector. Human papillomavirus (HPV) oncogenic E7 mRNA as the biomarker for cervical cancer was used as the model analyte.