Mitochondrial Quality Control: A New Perspective in Skeletal Muscle Dysfunction of Chronic Obstructive Pulmonary Disease.

Skeletal muscle dysfunction (SMD), one of the extrapulmonary complications in patients with chronic obstructive pulmonary disease (COPD), considerably influences patient prognosis. Mitochondria regulates their dynamic networks through a mitochondria quality control (MQC) mechanism, involving mitochondrial biogenesis, mitochondrial dynamics, and mitophagy. The MQC is crucial for mitochondrial homeostasis and health, and disruption of it can lead to mitochondrial damage, which is a key factor in the structural and functional impairment of skeletal muscle in COPD.

pH-Ultrasensitive Membranolytic Polyesters with Alternating Sequence of Ionizable and Hydrophobic Groups for Selective Oncolytic Therapy.

Oncolytic therapy, inducing cell death via cell membrane lysis, holds considerable promise in cancer treatment. However, achieving precise control over the structure and function of oncolytic materials for highly selective oncolytic therapy is a key challenge in the context of the subtle differences between tumor and normal tissues/cells. Herein, we report the development of pH-ultrasensitive oncolytic polyesters (pOPs) with an alternating sequence of ionizable and hydrophobic groups.

Upper Urinary Tract Stereotactic Body Radiotherapy Using a 1.5 Tesla Magnetic Resonance Imaging-Guided Linear Accelerator: Workflow and Physics Considerations.

Advancements in radiotherapy technology now enable the delivery of ablative doses to targets in the upper urinary tract, including primary renal cell carcinoma (RCC) or upper tract urothelial carcinomas (UTUC), and secondary involvement by other histologies. Magnetic resonance imaging-guided linear accelerators (MR-Linacs) have shown promise to further improve the precision and adaptability of stereotactic body radiotherapy (SBRT). This single-institution retrospective study analyzed 34 patients (31 with upper urinary tract non-metastatic primaries [RCC or UTUC] and 3 with metastases of non-genitourinary histology) who received SBRT from August 2020 through September 2024 using a 1.

The Relationship between In Vivo Toxicity and Responsive pH in Transistor-Like pH-Sensitive Nanodetergents.

Subacidity-responsive materials (saRMs) have attracted considerable attention for disease-specific pH-responsive imaging and therapy. However, the guidance for their pH-responsive design, aimed at achieving effective responses at lesion sites while minimizing unwanted responses in normal tissues, is inadequate and challenged by the subtle pH difference between the desired responsive pH and the pH of normal tissues. Here, the correlation between the responsive pH of 'proton transistor' nanodetergents (pTNTs) is investigated and the in vivo toxicity caused by unwanted responses in normal tissues, taking advantage of their refined responsive pH and the easily characterized membranolytic activity and cytotoxicity following response.

Anti-oxidative and immunological role of Cyclocarya paliurus polysaccharide on the liver injury of diabetic rats.

Objective: To investigate the effects of Cyclocarya paliurus (C. paliurus) polysaccharide on the liver injury of diabetic rats.

Methods: Rats were divided into 6 groups, including normal group, model group, control group, low-dose group of C.

SERS-Based Aptamer Sensing Strategy for Diabetes Biomarker Detection.

Accurate detection of glucose and insulin is crucial for early diagnosis, classification, and timely prevention of diabetes. In this study, we present a novel surface-enhanced Raman scattering (SERS) aptasensor for glucose and insulin detection. The SERS aptasensor is composed of gold bipyramidal nanoparticles (Au BPs), SH-aptamer-methylene blue (MB), and thiolated polyethylene glycol (SH-PEG).

The Inhibitory Effect and Mechanism of the Histidine-Rich Peptide rAj-HRP from on Human Colon Cancer HCT116 Cells.

Colon cancer is a common and lethal malignancy, ranking second in global cancer-related mortality, highlighting the urgent need for novel targeted therapies. The sea cucumber () is a marine organism known for its medicinal properties. After conducting a bioinformatics analysis of the cDNA library of , we found and cloned a cDNA sequence encoding histidine-rich peptides, and the recombinant peptide was named rAj-HRP.

Tumor-Associated Tractography Derived from High-Angular-Resolution Q-Space MRI May Predict Patterns of Cellular Invasion in Glioblastoma.

Background: The invasion of glioblastoma cells beyond the visible tumor margin depicted by conventional neuroimaging is believed to mediate recurrence and predict poor survival. Radiomic biomarkers that are associated with the direction and extent of tumor infiltration are, however, non-existent.

Methods: Patients from a single center with newly diagnosed glioblastoma ( = 7) underwent preoperative Q-space magnetic resonance imaging (QSI; 3T, 64 gradient directions, b = 1000 s/mm) between 2018 and 2019.

MY01 induces phosphate precipitation of Cu(II) and Zn(II) by degrading glyphosate: performance, pathway and possible genes involved.

Microbial bioremediation is an advanced technique for removing herbicides and heavy metals from agricultural soil. In this study, the strain MY01 was used for its ability to degrade glyphosate, a phosphorus-containing organic compound, producing PO as a byproduct. PO is known to form stable precipitates with heavy metals, indicating that strain MY01 could potentially remove heavy metals by degrading glyphosate.

Molecular mechanism through which Tripterygium hypoglaucum (Lévl.) Hutch alleviates psoriasis.

Tripterygium hypoglaucum (Lévl.) Hutch rhizome (THH) is mainly used in the clinical setting for the treatment of autoimmune diseases such as rheumatoid arthritis. In total, four active compounds were isolated from THH methanol extract （THH-MeOH）and identified.

StructNet-DDI: Molecular Structure Characterization-Based ResNet for Prediction of Drug-Drug Interactions.

This study introduces a deep learning framework based on SMILES representations of chemical structures to predict drug-drug interactions (DDIs). The model extracts Morgan fingerprints and key molecular descriptors, transforming them into raw graphical features for input into a modified ResNet18 architecture. The deep residual network, enhanced with regularization techniques, efficiently addresses training issues such as gradient vanishing and exploding, resulting in superior predictive performance.

Posterior short ciliary arteries ischemia following embolization of anterior ethmoid artery to treat dural arteriovenous fistulas: a case report.

Background: The Onyx™ Liquid Embolic System is a non-adhesive liquid embolic agent, which has been proved by the US FDA for embolization of lesions in the peripheral and neurovasculature since 2005. We reported a case of ischemic optic neuropathy after using Onyx-18 to embolize the anterior ethmoid arteries that feeding dural arteriovenous fistulas (DAVF).

Case Presentation: A 57-year-old Asian male presented with anterior cranial fossa DAVF underwent embolotherapy by delivering Onyx-18 through a microcatheter into the anterior ethmoid arteries under angiography guidance.

Joint passive beamforming and deployment design for active intelligent reflecting surface-assisted energy harvesting-cognitive radio sensor networks.

To prolong the network lifetime of energy harvesting-cognitive radio sensor networks (EH-CRSNs), this paper integrates active intelligent reflecting surface (IRS) to support both downlink EH and uplink data transmissions and formulates a constrained non-convex optimization problem that maximizes the net energy gain. To solve this problem, a joint passive beamforming and IRS deployment mechanism is proposed to determine the optimal deployment location of the active IRS and optimally configure the IRS reflection coefficient matrices. Specifically, the net energy gain maximization problem at a specified location is divided into two sub-problems according to its characteristics: maximizing the cumulative energy harvested by all CRSNs nodes in the downlink and minimizing the energy consumption of cluster heads in uplink data transmissions, with each sub-problem being solved independently.

A single dose of recombinant adenoviral vector rabies vaccine expressing two copies of glycoprotein protects mice from lethal virus challenge.

Introduction: Rabies is a fatal infectious disease, that poses a major public health threat in developing countries. With an annual death toll of approximately 59,000, more than half of which are children, an urgent need exists for a safe, affordable, and effective preventive measure against rabies virus infection.

Methodology: A recombinant rabies vaccine called Ad5-dRVG was constructed by introducing two copies of the rabies virus glycoprotein into a human adenoviral vector.

P62-autophagic pathway degrades SLC7A11 to regulate ferroptosis in doxorubicin-induced cardiotoxicity.

Doxorubicin-induced cardiotoxicity (DIC) poses a significant challenge, impeding its widespread application. Emerging evidence suggests the involvement of ferroptosis in the DIC. While the downregulation of SLC7A11 expression has been linked to the promotion of ferroptosis, the precise regulatory mechanism remains unclear.

Does rAj-Tspin, a novel peptide from A. japonicus, exert antihepatocellular carcinoma effects via the ITGB1/ZYX/FAK/AKT signaling pathway?

rAj-Tspin, a soluble recombinant peptide from Apostichopus japonicus, can inhibit the integrin β1 (ITGB1)/FAK/AKT signaling pathway in hepatocellular carcinoma (HCC) via cell epithelial-mesenchymal transition (EMT) and apoptosis. Zyxin (ZYX) is a focal adhesion protein that is considered a novel mediator of EMT and apoptosis. However, the inhibitory mechanisms of rAj-Tspin in HCC and whether it is related to ZYX are unclear.

TiO nanofilms for surface-enhanced Raman scattering analysis of urea.

In this study, titanium dioxide (TiO) nanofilms with nanoparticle structure were grown in situ on metallic aluminum (Al) sheets using a simple sol-hydrothermal method. Al sheets were chosen because they can form Schottky junctions with TiO during the calcination process, thus achieving a tight bonding between the nanoparticles and the solid substrate, which cannot be achieved with conventional glass substrates. The substrates synthesized with different contents of titanium butoxide [Ti(OBu)] were investigated using 4-mercaptobenzoic acid as a probe molecule, and the results showed that the substrate with 9 % of the total volume of Ti(OBu) had the highest surface-enhanced Raman scattering (SERS) performance.

Practice of distributed machine learning in clinical modeling for chronic obstructive pulmonary disease.

Background: The high prevalence, morbidity and mortality, and disease heterogeneity of chronic obstructive pulmonary disease (COPD) result in the scattered data derived from patient visits in different medical units. The huge cost of integrating the scattered data for analysis and modeling, as well as the legal demand for patient privacy protection lead to the emergence of data island.

Objectives: On the premise of protecting patient privacy, integrating scattered data of patients from different medical units for high-quality modeling is beneficial to promoting the development of digital health.

Transition and trend analysis of the burden of depression in China and different income countries: Based on GBD database and joinpoint regression model.

Background: Depression is a leading cause of disability and poor health worldwide and is expected to rank first worldwide by 2030. The aim of this study is to analyze the transition and trend of depression burden in China and various income-level countries by utilizing the Global Burden of Disease (GBD) database and the Joinpoint regression model. This analysis seeks to comprehend the variations in the burden of depression across different income regions and evaluate their developmental patterns.

Light-Boosting Highly Sensitive and Ultrafast Piezoelectric Sensor Based on Composite Membrane of Copper Phthalocyanine and Graphene Oxide.

Self-powered wearable pressure sensors based on flexible electronics have emerged as a new trend due to the increasing demand for intelligent and portable devices. Improvements in pressure-sensing performance, including in the output voltage, sensitivity and response time, can greatly expand their related applications; however, this remains challenging. Here, we report on a highly sensitive piezoelectric sensor with novel light-boosting pressure-sensing performance, based on a composite membrane of copper phthalocyanine (CuPC) and graphene oxide (GO) (CuPC@GO).

A diagonal masking self-attention-based multi-scale network for motor imagery classification.

. Electroencephalography (EEG)-based motor imagery (MI) is a promising paradigm for brain-computer interface (BCI), but the non-stationarity and low signal-to-noise ratio of EEG signals make it a challenging task..

Disentangled Generation With Information Bottleneck for Enhanced Few-Shot Learning.

Few-shot learning (FSL) poses a significant challenge in classifying unseen classes with limited samples, primarily stemming from the scarcity of data. Although numerous generative approaches have been investigated for FSL, their generation process often results in entangled outputs, exacerbating the distribution shift inherent in FSL. Consequently, this considerably hampers the overall quality of the generated samples.