Shear Stress Induces Concentration Gradient Distributions of Membrane Proteins in Live Cells.

Cells sense and respond to fluid shear stress. Cell surfaces are exposed to flow, yet the influence of shear stress on the behavior of plasma membrane proteins remains unclear. Here we show that extracellular flow induces the gradient distribution of cell membrane proteins with increasing concentration toward the downstream direction of the flow.

Antitumor Effects of Combination Therapy with Oncolytic Vaccinia Virus and Tepotinib on Lung Cancer Cells.

Despite advancements in molecular-targeted therapies and immune checkpoint inhibitors, the survival rate of patients with advanced lung cancer remains unsatisfactory. Therefore, new and effective treatment strategies are urgently needed. Both mesenchymal-epithelial transition (MET) inhibitors and oncolytic viruses exhibit immunomodulatory properties along with direct antitumor effects.

Pathologic Evidence of Granulomatosis With Polyangiitis as a Cause of Atrioventricular Block.

Background: Atrioventricular block (AVB) is a rare manifestation of granulomatosis with polyangiitis (GPA), and the underlying pathologic relationship between GPA and AVB remains poorly understood.

Case Summary: We present the case of a 71-year-old woman who developed complete AVB and had a history of microscopic polyangiitis. Despite the absence of clinical signs indicative of GPA relapse throughout her lifetime, postmortem examination revealed microgranulomas and multinucleated giant cells within the atrioventricular node.

Impact of Prior Heart Failure Hospitalization on Long-Term Cardiac Mortality in ST-Elevated Myocardial Infarction Patients.

Heart failure is associated with poor outcomes in ST-elevation myocardial infarction (STEMI). While heart failure following STEMI has been extensively studied, the role of a prior history of heart failure hospitalization (HFH) as a specific risk factor for long-term outcomes in patients with STEMI who underwent primary percutaneous coronary intervention (PCI) has not been fully explored.Consecutive 1,544 patients (median age, 69 [60-78] years; male, 75.

The incidence of vascular adverse events and usefulness of novel risk assessment tool in Japanese patients with chronic myeloid leukemia treated with tyrosine kinase inhibitors.

Background: Tyrosine kinase inhibitor (TKI) therapy improves the overall survival of patients with chronic myeloid leukemia (CML). However, the risk of vascular adverse events (VAEs) in these patients is reported to be higher than that in healthy individuals, because of both CML itself and the effects of TKIs. Appropriate and effective VAE risk assessment tools for TKI treatment have long been anticipated.

Colorless Polyimides with Low Linear Coefficients of Thermal Expansion and Their Controlled Soft Adhesion/Easy Removability on Glass Substrates: Role of Modified One-Pot Polymerization Method.

This study presents colorless polyimides (PIs) suitable for use as plastic substrates in flexible displays, designed to be compatible with controlled soft adhesion and easy delamination (temporary adhesion) processes. For this purpose, we focused on a PI system derived from norbornane-2-spiro-α-cyclopentanone-α'-spiro-2″-norbornane-5,5″,6,6″-tetracarboxylic dianhydride (CpODA) and 2,2'-bis(trifluoromethyl)benzidine (TFMB). This system was selected with the aim of exhibiting excellent optical transparency and low linear coefficient of thermal expansion (CTE) properties.

Artificial intelligence-driven label-free detection of chronic myeloid leukemia cells using ghost cytometry.

Early diagnosis and treatment initiation of chronic myeloid leukemia (CML) are considered to increase the rate of deep molecular response. However, the early diagnosis of CML is challenging due to the absence of clinical symptoms and peripheral blood test anomaly, especially at the timing of peripheral white blood cell count is within a normal range. This study explored the possibility of artificial intelligence (AI)-based quantitative detection of CML cells using ghost cytometry (GC) technology.

Promising Effectiveness of Combined Chemotherapy and Immunotherapy in Patients with Advanced Non-small Cell Lung Cancer: A Real-World Prospective Observational Study (CS-Lung-003).

This prospective observational study investigated the clinical status of patients with advanced non-small cell lung cancer (NSCLC) treated with cytotoxic chemotherapy+an immune checkpoint inhibitor (chemo + IO) as first-line treatment in a real-world setting. The cases of 98 patients treated with chemo + IO were prospectively collected and analyzed for effectiveness and safety. The response rate to chemo + IO was 46.

Early Epcoritamab Administration Revives CAR-T Cells in Relapsed/Refractory B-Cell Lymphomas.

Background: Bispecific antibodies are effective for relapsed/refractory B-cell lymphoma patients even after CAR-T therapy.

Methods: Peripheral blood CAR-T kinetics and functional analysis in vivo were carried out pre- and post-epcoritamab infusion in B-cell lymphoma patients relapsing after CAR-T therapy.

Results: CAR copy numbers spiked at relapse and rose again following epcoritamab administration.

bacteremia associated with a cat bite in a patient with systemic lupus erythematosus on hemodialysis: A case report.

The genus , which is part of the oral microbiome of both humans and animals, has the potential to cause severe infections in humans following animal bites. A 59-year-old man with systemic lupus erythematosus (SLE) on hemodialysis presented with cellulitis of the left upper limb after being bitten by his cat and was admitted to our hospital. Blood cultures were obtained, and empiric treatment with ampicillin/sulbactam was initiated.

Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population-Based Study.

Background: Coronary heart disease (CHD) is a major cause of morbidity and mortality worldwide. Identifying key risk factors is essential for effective risk assessment and prevention. A data-driven approach using machine learning (ML) offers advanced techniques to analyze complex, nonlinear, and high-dimensional datasets, uncovering novel predictors of CHD that go beyond the limitations of traditional models, which rely on predefined variables.

Early Left Ventricular Reverse Remodeling After Catheter Ablation of Atrial Fibrillation is Associated With Lower Recurrence Rates and Improved Prognosis in Patients With Left Ventricular Systolic Dysfunction.

Introduction: Left ventricular (LV) reverse remodeling (LVRR) following catheter ablation (CA) of atrial fibrillation (AFCA) has not been fully elucidated. This study investigated the clinical impact of early LVRR after AFCA on prognosis in patients with LV systolic dysfunction (LVSD).

Methods: Of 1,989 consecutive patients undergoing first-time AFCA, 302 patients with a baseline LV ejection fraction < 50% were included.

Laminar organization of molecular complexes in a clathrin coat revealed by nanoscale protein colocalization.

Super-resolution microscopy achieves a few nanometers resolution, but colocalization analysis in a molecular complex is limited by its labeling density. Here we present a method for quantitative mapping of molecular complexes using multiplexed super-resolution imaging, integrating exchangeable single-molecule localization (IRIS). We developed antiserum-derived Fab IRIS probes for high-density labeling of endogenous proteins and protein cluster coloring (PC-coloring), which employs pixel-based principal component analysis and clustering.

Impact of size-dependent differences in excimer laser coronary angioplasty in ST-elevation acute myocardial infarction: nuclear scintigraphy findings.

Introduction: Excimer laser coronary angioplasty (ELCA) employs catheters of various sizes. Although the crossability and irradiation time are better with the use of smaller-diameter catheters, the available irradiation area is greater when larger-diameter catheters are used.

Aim: To investigate the effects of laser catheter size on myocardial function and salvage in patients with ST-elevation myocardial infarction (STEMI), as assessed using nuclear scintigraphy data.

Immune Checkpoint Inhibitor-Induced Insidiously Progressive, Fatal Interstitial Lung Disease.

Immune checkpoint inhibitors (ICIs) cause interstitial lung diseases (ILDs) as a type of immune-related adverse event (irAE). The characteristics of ICI-ILD are diverse. The objective of this study is to investigate the clinical features of ICI-ILD, with particular emphasis on insidiously progressive ICI-ILD.

Alistipes Bacteremia in Older Patients with Digestive and Cancer Comorbidities, Japan, 2016-2023.

The clinical characteristics of Alistipes bacteremia remain insufficiently understood. We retrospectively analyzed 13 cases of Alistipes bacteremia at a tertiary care center in Japan. Of the 13 patients, 7 were male and 6 female; 10 were >65 years of age.

Prediction of depressive disorder using machine learning approaches: findings from the NHANES.

Background: Depressive disorder, particularly major depressive disorder (MDD), significantly impact individuals and society. Traditional analysis methods often suffer from subjectivity and may not capture complex, non-linear relationships between risk factors. Machine learning (ML) offers a data-driven approach to predict and diagnose depression more accurately by analyzing large and complex datasets.

Association of distorted memories, psychiatric symptoms, and quality of life in postoperative ICU patients after 12 months: A cross-sectional study.

Intensive care unit patients often experience memory disturbances, including missing or delusional memories. These memory distortions can contribute to the development of psychiatric disorders, such as anxiety and depression. In addition, distorted memories may adversely affect long-term quality of life.

Evaluation of an optimal agar medium for detecting hypervirulent Klebsiella pneumoniae using string test.

The string test is a screening method for detecting hypervirulent (hvKp). Agar media are used for string tests; however, the effect of the type of media on the test results remains unclear. We aimed to determine the optimal agar medium and cutoff value for the string test.

Prevalence and clinical features of interstitial lung disease in patients with psoriasis.

Background: Despite the autoimmune nature of psoriasis, the potential association between psoriasis and interstitial lung disease (ILD) remains underexplored. This study aimed to investigate the frequency and clinical features of ILD in patients with psoriasis and propose a new conceptual framework of "ILD associated with psoriasis".

Methods: A retrospective analysis of 117 patients with psoriasis was conducted, excluding those without chest imaging prior to methotrexate or biologic use and those with other comorbidities leading to ILD.

An Autopsy Case of Rapidly Fulminant Group A Streptococcus Infection in a Previously Healthy 67-Year-Old Woman.

, also known as group A (GAS), is responsible for various conditions, such as pharyngitis, tonsillitis, necrotizing fasciitis, and streptococcal toxic shock syndrome (STSS). STSS, a rapidly progressing infection involving shock and multi-organ failure, was first reported in Japan in 1992, and since then, the number of cases has been steadily increasing. We herein report an autopsy case of STSS that resulted in sudden death.

BCR::ABL1-induced mitochondrial morphological alterations as a potential clinical biomarker in chronic myeloid leukemia.

The BCR::ABL1 oncogene plays a crucial role in the development of chronic myeloid leukemia (CML). Previous studies have investigated the involvement of mitochondrial dynamics in various cancers, revealing potential therapeutic strategies. However, the impact of BCR::ABL1 on mitochondrial dynamics remains unclear.

Evaluation of dipole moment of polyhedral oligomeric silsesquioxane compounds.

The aggregation state of polyhedral oligomeric silsesquioxane (POSS) within a polymer matrix plays a crucial role. Molecular interactions are key driving forces for aggregation, and one of the key physical parameters is the dipole moment (DPM). Quantum calculations such as density functional theory (DFT) calculations can be used to estimate the DPM.