Effectiveness of high-frequency repetitive transcranial magnetic stimulation combined with quadriceps strength training in the treatment of knee osteoarthritis: a randomized controlled trial.

Background: Knee osteoarthritis (KOA) is associated with decreased quadriceps strength and decreased activation of central motor cortex. It is necessary to investigate intervention strategies that combine central and peripheral treatments.

Objective: To assess the effectiveness of high-frequency repetitive transcranial magnetic stimulation (rTMS) in conjunction with quadriceps strength training for 12 weeks in the treatment of KOA.

Study on the mechanism of penetration of particles of air pollution into the brain through the nasal cavity and the potential neurological health risks.

The presence of nanopollutants in the atmosphere poses significant risks to human health. However, research on their adverse effects on the central nervous system (CNS) remains limited. To address this gap, we constructed an in vitro model utilizing mesoporous silica nanoparticles (MSNs) to simulate airborne solid particulates and menthol/curcumol to represent adsorbed liquid microparticles.

Therapeutic restoration of mitochondria-endoplasmic reticulum cross talk for osteoarthritis.

Osteoarthritis is a prevalent joint disease in the aging population. The hallmark of osteoarthritis is the degeneration of the joint cartilage, characterized by changes in chondrocytes including mitochondrial dysfunction. However, the precise mechanisms of how this affects chondrocyte homeostasis and whether such processes can be explored as therapeutic targets for osteoarthritis remain unclear.

Synthesize contrast-enhanced ultrasound image of thyroid nodules via generative adversarial networks.

Objectives: This study aims to explore the feasibility of employing generative adversarial networks (GAN) to generate synthetic contrast-enhanced ultrasound (CEUS) from grayscale ultrasound images of patients with thyroid nodules while dispensing with the need for ultrasound contrast agents injection.

Materials And Methods: Patients who underwent preoperative thyroid CEUS examinations between January 2020 and July 2022 were collected retrospectively. The cycle-GAN framework integrated paired and unpaired learning modules was employed to develop the non-invasive image generation process.

RBM30 recruits DOT1L to activate STAT1 transcription and drive immune evasion in hepatocellular carcinoma.

Programmed death ligand 1 (PD-L1) is a protein expressed in hepatocellular carcinoma (HCC) that drives immune evasion by binding to programmed death receptor 1 (PD-1) on activated T cells. Understanding PD-L1 regulation is essential to understand the immunosuppressive microenvironment for antitumor immunity. We screened ribonucleic acid (RNA)-binding motif proteins (RBMs).

Babinet-Inverted GaP Suspended Fishnet Membrane Enables Long-Lasting Unshifted Gigahertz Hypersonic Waves Generation.

Nanostructured dielectric optomechanical platforms have facilitated the efficient generation and precise control of hypersonic waves. However, substantial energy losses have thus far prevented the realization of nanoresonators with long-lasting signals and high quality factors. In this study, we propose suspended all-dielectric fishnet structures made of gallium phosphide, which exhibit up to five odd-order resonant modes with an exceptionally low isotropic loss factor (η = 0.

An integrated research strategy based on "compound exogenous chemical substances-endogenous metabolites in disease": To explore the scientific basis of Modified Bazhen Yimu Gao in the treatment of primary dysmenorrhea.

Ethnopharmacological Relevance: Primary dysmenorrhea (PD) is a common gynecological disease in women, which affects about 45 %-95 % of women. It exerts significant negative effects on the quality of life, learning and work efficiency of women. Modified Bazhen Yimu Gao (MBYG), a proprietary Chinese medicine preparation, has a medication history of 15 years.

Nanoquadruplex-driven hydrogen therapy: NIR-controlled release for targeted cancer ferroptosis.

Hydrogen therapy as an emerging strategy for anticancer medicine is attracting attention. However, the limitations of effective hydrogen storage and release have hindered its development and application for hydrogen therapy. Herein, a high hydrogen storage nanoquadruplex (PdH)Se based on a palladium-selenium core has been designed and shows enhanced intratumoral accumulation via an enhanced permeability and retention (EPR) effect.

Optimizing microwave-sensitive coatings for enhanced de-icing efficiency: Effects of frequency, antenna design, and surface geometry.

Microwave de-icing technology demonstrates significant application potential for anti-icing and de-icing various infrastructures due to its environmentally friendly, non-contact, and straightforward operation. However, further research and optimization are required under different microwave conditions, antenna types, and complex engineering surface structures. This paper employs numerical simulation methods to investigate the temperature rise behavior of coating surfaces under varying microwave power and irradiation times, validated through physical experiments.

Fetal Health Diagnosis Based on Adaptive Dynamic Weighting with Main-Auxiliary Correction Network.

Maternal and child health during pregnancy is an important issue in global public health, and the classification accuracy of fetal cardiotocography (CTG), as a key tool for monitoring fetal health during pregnancy, is directly related to the effectiveness of early diagnosis and intervention. Due to the serious category imbalance problem of CTG data, traditional models find it challenging to take into account a small number of categories of samples, increasing the risk of leakage and misdiagnosis. To solve this problem, this paper proposes a two-step innovation: firstly, we design a method of adaptive adjustment of misclassification loss function weights (MAAL), which dynamically identifies and increases the focus on misclassified samples based on misclassification rates.

MolGlueDB: an online database of molecular glues.

Molecular glue degraders (MGDs) and proteolysis-targeting chimeras (PROTACs) are two prominent approaches in targeted protein degradation, both leveraging the ubiquitin-proteasome system to induce selective protein degradation. While PROTACs rely on heterobifunctional motifs, MGDs possess more compact, mono-affinitive molecular structures, offering distinct advantages in drug-like properties. Over the past decade, significant progress has been made in development of MGDs, with over 20 MGDs advancing through clinical trials.

Comparative analysis of patient-derived organoids and patient-derived xenografts as avatar models for predicting response to anti-cancer therapy.

Patient-derived xenografts (PDX) and organoids (PDO) are widely used to model cancer and predict treatment response in matched patients. However, their predictive accuracy has not been systematically studied nor compared. We conducted a systematic review and meta-analysis of studies using PDX or PDO from solid tumors treated with identical anti-cancer agents as the matched patient, identifying 411 patient-model pairs (267 PDX, 144 PDO).

The recent progress of tumor cell-derived exosomes in the pathogenesis, diagnosis and therapeutic strategies of tumors.

Exosomes are extracellular vesicles of nanoscale, which represent the characteristics of the cells of origin. Tumor cell-derived exosomes (TEXs) obtain the characteristics of the tumor cells, which meanwhile transfer the various substances from the tumor cells to regulate the other cells and microenvironments. TEXs play an important role in the pathogenesis of tumors, which can promote the progression, metastasis and recurrence of tumors.

Cluster-Aware Few-Shot Molecular Property Prediction With Factor Disentanglement.

Molecular property prediction plays a crucial role in drug discovery, but is always challenged by the limited number of effective labels. Compared with existing methods, we argue that the auxiliary properties of the molecule and the heterogeneous structure of different property prediction tasks have always been ignored. In this article, we propose a novel framework termed Meta-DREAM for few-shot molecular property prediction, which tailors to learning the transferable knowledge within different clusters of tasks.

A Culturally Integrative Occupational Therapy Practice Model Based on Traditional Chinese Health Culture in Mainland China.

A core philosophy of occupational therapy is adopting a holistic approach, considering individuals' cultural and societal values. While occupational therapy is rooted in modern Western cultures, which contrasts with traditional Chinese medicine (TCM) health beliefs, TCM conceptualizes health as multidimensional-a notion akin to occupational therapy's philosophy. This article attempts to explore the relationships between TCM health culture and occupational therapy perspectives by integrating culturally relevant activities and traditional Chinese Wellness practices into clinical occupational therapy.

Discovery of Rigid Linker-Based IRAK4 PROTACs with Improved Metabolic Stability for the Treatment of Inflammatory Diseases.

Interleukin-1 receptor-associated kinase 4 (IRAK4) is a promising therapeutic target for inflammatory diseases. However, solely inhibiting IRAK4 kinase activity fails to fully block inflammatory signaling, resulting in limited efficacy. Herein, we describe the design and synthesis of novel IRAK4 degraders based on a proteolysis-targeting chimera (PROTAC) strategy.

Multiple problems: a case of Cohen syndrome VPS13B mutation causing bilateral spherical lenses combined with retinitis pigmentosa.

Background: Cohen syndrome is a rare autosomal recessive disorder characterized by facial anomalies with or without microcephaly, non-progressive intellectual disability, hypotonia, ocular abnormalities, and neutropenia. Due to its low prevalence and diverse presentations, much information about the disease, including ocular manifestations, is not yet fully understood. To date, there is a paucity of literature on Cohen syndrome, which is characterized by predominantly ocular manifestations and typical manifestations in multiple systems throughout the body.

Deep learning-based non-invasive prediction of PD-L1 status and immunotherapy survival stratification in esophageal cancer using [F]FDG PET/CT.

Purpose: This study aimed to develop and validate deep learning models using [F]FDG PET/CT to predict PD-L1 status in esophageal cancer (EC) patients. Additionally, we assessed the potential of derived deep learning model scores (DLS) for survival stratification in immunotherapy.

Methods: In this retrospective study, we included 331 EC patients from two centers, dividing them into training, internal validation, and external validation cohorts.

Biodistribution of Macroaggregated Albumin (MAA) After Tumor Model Development and Characterization in a Porcine Lung Cancer Model.

Purpose: Demonstrate intra-tracheal infusion of an adenoviral vector carrying Cre recombinase (AdCre) induces lung tumors in the Oncopig, and verify bronchial arterial yttrium-90 transarterial radioembolization (TARE) as the optimal infusion route for lung cancer.

Materials And Methods: Three transgenic Oncopigs harboring Cre-inducible TP53 and KRAS mutations underwent tumor induction via intra-tracheal AdCre infusion. Tumors were characterized with 2- and 4-week computed tomography and pathology.

Precise Surface Engineering of Metal Nanoclusters: Ligand Programming for Functionality Design.

Precise surface engineering of metal nanoclusters (MNCs) has emerged as a powerful strategy for tailoring their structural, electronic, and catalytic properties. On the basis of traditional surface chemistry, ligand programming enables atomic-level control over MNC functionality by modulating metal-ligand coordination, intra/inter-ligand interactions, and interfacial chemistry. These three layers within the "Engineering Zone" define structural flexibility, charge transfer pathways, molecular rigidity, and surface accessibility, key factors in optimizing catalytic activity, luminescence efficiency, and molecular recognition.

Genetic Epidemiological Analysis of the Keratoconus Genetic Model in the Chinese Keratoconus Cohort Study.

Purpose: Keratoconus (KC) is a corneal disorder characterized by progressive corneal protrusion and thinning. Our previous studies have demonstrated that genetic factors influence KC occurrence. The purpose of this study was to explore the genetic model of KC from the perspective of genetic epidemiology.

Melanoma GPA as a novel prognostic scoring model based on initial brain metastasis velocity.

Upon initial presentation, initial brain metastasis velocity (iBMV) is a prognostic factor for patients with brain metastases (BMs). Based on this metric, this study validated the predictive value of iBMV and introduced a Graded Prognostic Assessment (GPA)-derived scale known as melanoma-GPA. We conducted a retrospective cohort study and enrolled patients diagnosed with malignant melanoma brain metastases (MBMs) between December 2010 and February 2023.