Cytoplasmic WEE1 promotes resistance to PD-1 blockade through hyperactivation of the HSP90A/TCL1/AKT signaling axis in NANOGhigh tumors.

Immune checkpoint blockade (ICB) has revolutionized the therapeutic landscape across various cancer types. However, the emergence of resistance to ICB therapy limits its clinical application. Therefore, it is necessary to better understand immune-resistance mechanisms that could be targeted by actionable drugs, and important to identify predictive markers for selecting patients.

Near-Infrared Long-Lived Luminescent Nanoparticle-Based Time-Gated Imaging for Background-Free Detection of Avian Influenza Virus.

Near-infrared (NIR)-to-NIR upconversion nanoparticles (UCNPs) are promising materials for biomedical imaging and sensing applications. However, UCNPs with long lifetimes continue to face the limitation that they are usually accompanied by weak luminescence intensity, resulting in difficulties in achieving high-resolution and sensitive time-gated imaging. To overcome this limitation, we have developed NIR long-lifetime luminescent nanoparticles (NLL NPs) with strong 800 nm emission by adding a photosensitizing shell and with a prolonged lifetime by lowering the activator concentration.

Electrochemically Driven Selective Olefin Epoxidation by Cobalt-TAML Catalyst.

Epoxides are versatile chemical intermediates that are used in the manufacture of diversified industrial products. For decades, thermochemical conversion has long been employed as the primary synthetic route. However, it has several drawbacks, such as harsh and explosive operating conditions, as well as a significant greenhouse gas emissions problem.

Risk of Kawasaki Disease/Multisystem Inflammatory Syndrome Following COVID-19 Vaccination in Korean Children: A Self-Controlled Case Series Study.

Background: Rare cases of Kawasaki disease (KD) and multisystem inflammatory syndrome in children (MIS-C) have been reported following the coronavirus disease 2019 (COVID-19) vaccination; however, the association between COVID-19 vaccination and the risk of developing KD/MIS-C has not yet been established.

Methods: We conducted a self-controlled case series analysis using a large-linked database that connects the COVID-19 immunization registry with nationwide claims data. We identified individuals aged < 18 years who received their initial COVID-19 vaccination and had a KD/MIS-C diagnosis with a prescription for intravenous immunoglobulin or corticosteroids between October 18, 2021, and April 15, 2023.

Development and validation of career sustainability scale for mid-career employees.

A sustainability perspective on careers builds a resilient career system by simultaneously considering individual's current career needs and long-term career outcomes. The individual career agent's strategy for achieving a sustainable career is a powerful approach to career development in an environment where an individual's proactive career competencies are emphasized. Mid-career individuals, especially those facing career transitions, need to increase their sustainability by maintaining, renewing, and developing their current careers.

Isolation of a Novel Low-Temperature-Active and Organic-Solvent-Stable Mannanase from the Intestinal Metagenome of .

The black soldier fly, , is a voracious scavenger of various organic materials; therefore, it could be exploited as a biological system for processing daily food waste. In order to survey novel hydrolytic enzymes, we constructed a fosmid metagenome library using unculturable intestinal microorganisms from . Through functional screening of the library on carboxymethyl cellulose plates, we identified a fosmid clone, the product of which displayed hydrolytic activity.

Predictors of Post-Hepatectomy Liver Failure in Klatskin Tumors: The Role of Preoperative Glucose, Future Liver Remnant to Spleen Ratio, and Early Bilirubin Monitoring.

: Post-hepatectomy liver failure (PHLF) is a serious complication following hepatic resection for Klatskin tumors, significantly affecting patient prognosis. Identifying reliable preoperative and early postoperative predictors of PHLF can help optimize patient outcomes and guide surgical planning. : We conducted a retrospective review of 34 patients who underwent hemi-hepatectomy for extrahepatic cholangiocarcinoma at Kosin University Gospel Hospital between April 2019 and April 2024, and at Chonnam National University Hwasun Hospital between September 2017 and April 2024.

Near-Infrared Luminescent Imaging-Based 3D QR Cube Platform for Spatial Information Storage and Security.

The growing significance of information technology requires advanced information storage and security solutions. While extending traditional 2D codes with additional parameters has led to promising 3D codes, increasing information capacity and security remains challenging. Herein, a 3D quick response (QR) cube platform that utilizes near-infrared (NIR)-to-NIR upconversion nanoparticles as light-emitting probes, benefiting from their photostability and low scattering properties.

Successful diagnosis and treatment of canine polymyositis: utilizing MRI and immunohistochemistry for accurate detection.

Background: Inflammatory myopathy is generally categorized into generalized inflammatory myopathies (gIM), which affect muscles throughout the body, and focal inflammatory myopathies (fIM), which are localized to specific muscles or muscle groups. This report details a case of immune-mediated polymyositis in a dog, successfully diagnosed using MRI and IHC and managed with immunosuppressive therapy.

Case Presentation: A 5-year-old castrated male Poodle was admitted to our hospital presenting with lethargy and exercise intolerance.

Associations Between Skin Microbiome and Metabolome in the Pathogenesis of Atopic Dermatitis Patients With Scalp Involvement.

Purpose: Atopic dermatitis (AD) is a chronic inflammatory skin condition influenced by various factors, such as the skin microbiome and metabolome. However, specific contributions of these factors to scalp involvement in AD still need to be explored. In this study, we aimed to assess the associations between the skin microbiome and metabolome in AD patients with scalp dermatitis and healthy controls (HCs).

Liposomal Codelivery of Doxorubicin and Curcumin Sensitizes Antitumor Activity and Reduces Tumor Metastasis.

Multidrug resistance (MDR) is a major obstacle to traditional cancer treatment using chemotherapeutic agents like doxorubicin (DOX). MDR affects drug dosage regimens and enables the recurrence and metastasis of cancer. Because DOX causes severe side effects at high dosages, it is important to use an MDR modulator to make cancer cells sensitive to DOX.

Production of a monoclonal antibody targeting the SARS-CoV-2 Omicron spike protein and analysis of SARS-CoV-2 Omicron mutations related to monoclonal antibody resistance.

SARS-CoV-2 mutations have resulted in the emergence of multiple concerning variants, with Omicron being the dominant strain presently. Therefore, we developed a monoclonal antibody (mAb) against the spike (S) protein of SARS-CoV-2 Omicron for therapeutic applications. We established the 1E3H12 mAb, recognizing the receptor binding domain (RBD) of the Omicron S protein, and found that the 1E3H12 mAb can efficiently recognize the Omicron S protein with weak affinity to the Alpha, Beta, and Mu variants, but not to the parental strain and Delta variant.

A novel computational approach for the mining of signature pathways using species co-occurrence networks in gut microbiomes.

Background: Advances in metagenome sequencing data continue to enable new methods for analyzing biological systems. When handling microbial profile data, metagenome sequencing has proven to be far more comprehensive than traditional methods such as 16s rRNA data, which rely on partial sequences. Microbial community profiling can be used to obtain key biological insights that pave the way for more accurate understanding of complex systems that are critical for advancing biomedical research and healthcare.

Evaluation of extracellular vesicle aggregation by single vesicle analysis.

Extracellular vesicles (EVs) play pivotal roles in intercellular communication and are implicated in numerous physiological and pathological processes. Here, we introduce a quantitative technique using total internal reflection fluorescence microscopy (TIRFm)-based single vesicle analysis (SVA) to assess EV aggregation, a critical factor influencing their biological functionality. Employing two-colored fluorescent recombinant EV mixtures, this method enables precise discrimination between aggregated and non-aggregated EVs.

Rapid determination of the geographical origin of kimchi by Fourier transform near-infrared spectroscopy coupled with chemometric techniques.

Determining the geographical origin of kimchi holds significance because of the considerable variation in quality and price among kimchi products from different regions. This study explored the feasibility of employing Fourier transform near-infrared spectroscopy in conjunction with supervised chemometric techniques to differentiate domestic and imported kimchi products. A total of 30 domestic and 30 imported kimchi products were used to build datasets.

Advances in spatial proteomics: Mapping proteome architecture from protein complexes to subcellular localizations.

Proteins are responsible for most intracellular functions, which they perform as part of higher-order molecular complexes, located within defined subcellular niches. Localization is both dynamic and context specific and mislocalization underlies a multitude of diseases. It is thus vital to be able to measure the components of higher-order protein complexes and their subcellular location dynamically in order to fully understand cell biological processes.

Sustained Microglial Activation Promotes Synaptic Loss and Neuronal Dysfunction after Recovery from ZIKV Infection.

Zika virus (ZIKV), transmitted by Aedes mosquitoes, has been a global health concern since 2007. It primarily causes fetal microcephaly and neuronal defects through maternal transmission and induces neurological complications in adults. Recent studies report elevated proinflammatory cytokines and persistent neurological alterations post recovery, but the in vivo mechanisms remain unclear.

Unmet community care needs among older adults in China: an observational study on influencing factors.

Background: With the rapidly aging population in China, there is an urgent need to understand and address the community care needs of older adults. This study sought to examine these unmet community care needs of older adults in China and the factors influencing them, with the goal of providing essential groundwork for the development of community care health policies.

Methods: This study used data from the 2018 China Longitudinal Healthy Longevity Survey of 8,870 adults aged 65 years and older.

Spatiotemporal Nitric Oxide Modulation via Electrochemical Platform to Profile Tumor Cell Response.

Nitric oxide (NO) is a gaseous molecule intricately implicated in oncologic processes, encompassing the modulation of angiogenesis and instigating apoptosis. Investigation of the antitumor effects of NO is currently underway, necessitating a detailed understanding of its cellular-level reactions. Regulating the behavior of radical NO species has been a significant challenge, primarily due to its instability in aqueous environments by rapid O-induced degradation.

Hypnotic effect of AR-001 through adenosine A receptor.

Insomnia is one of the most common sleep disorders, affecting 10-15% of the global population. Because classical remedies used to treat insomnia have various side effects, new therapeutics for insomnia are attracting attention. In the present study, we found that N-Ethyl-N-(furan-2-ylmethyl) quinazoline-2,4-diamine (AR-001) has adenosine A receptor agonistic activity and exhibits hypnotic efficacy by decreasing sleep onset latency and increasing total sleep time in a pentobarbital-induced sleep model.

Enhancing Deep Learning-Based Segmentation Accuracy through Intensity Rendering and 3D Point Interpolation Techniques to Mitigate Sensor Variability.

In the context of LiDAR sensor-based autonomous vehicles, segmentation networks play a crucial role in accurately identifying and classifying objects. However, discrepancies between the types of LiDAR sensors used for training the network and those deployed in real-world driving environments can lead to performance degradation due to differences in the input tensor attributes, such as x, y, and z coordinates, and intensity. To address this issue, we propose novel intensity rendering and data interpolation techniques.