Endogenous YAP/TAZ partitioning in TEAD condensates orchestrates the Hippo response.

YAP/TAZ are transcriptional co-activators that pair with transcription factor TEA/ATTS domains (TEADs) for modulating the Hippo pathway. Previous works propose the potential role of YAP/TAZ phase separation for transcriptional activation, yet the biomolecular basis of endogenous YAP/TAZ-TEAD condensates remains unclear. Here, we dissect their endogenous morphology, revealing that YAP/TAZ are client proteins recruited to TEAD condensates in various human cell lines.

A mini-review of the relationship between intestinal microecology and acute respiratory distress syndrome.

Acute respiratory distress syndrome (ARDS), a critical condition with high mortality, arises from dysregulated inflammation and lung injury. While evidence-based supportive care remains foundational, the lack of effective targeted therapies underscores the need for novel approaches. This review focuses on the emerging role of intestinal microecology in ARDS pathogenesis the gut-lung axis.

Simultaneous heart-kidney transplantation outcomes in Asian populations in the United States: A united network for organ sharing database study.

Purpose: Simultaneous heart-kidney transplantation (HKTx) remains underutilized in regions outside the United States and Europe. Assessing the clinical outcomes of HKTx in Asian recipients is crucial for promoting its adoption in Asia. This retrospective study aimed to compare the survival outcomes of HKTx between Asian and non-Hispanic White (NHW) recipients with similar baseline characteristics.

An Efficient and Explainable Ensemble-learning Framework for Early Lung Cancer Biomarkers Detection.

This study proposes an Efficient and Explainable Ensemble-learning framework (EEE-framework) designed for early detection of non-small cell lung cancer (NSCLC) biomarkers using gene expression data, specifically addressing challenges of interpretability in detection outcomes. The EEEframework comprises two core modules. The first module constructs an ensemble-learning model balancing detection accuracy and interpretability.

HPLC-MS/MS-based detection of Pseudomonas aeruginosa secondary metabolites and their application in metabolomics.

An HPLC-MS/MS method was developed for determining Pseudomonas aeruginosa metabolites in culture media and cosmetics. The samples were dispersed in saturated sodium chloride, purified by C18-SPE after acetonitrile extraction, filtered through a PTFE membrane, and then analyzed. The mobile phase system used was 0.

Neoadjuvant chemoimmunotherapy versus neoadjuvant chemoradiotherapy in patients with borderline resectable esophageal squamous cell carcinoma.

Background: The optimal treatment strategy for patients with borderline resectable (cT3br) esophageal squamous cell carcinoma (ESCC) remains unclear. Thus, the aim of this study was to compare the perioperative outcomes and prognoses between neoadjuvant chemotherapy combined with immunotherapy (NACI) and neoadjuvant chemoradiotherapy (NCRT) in cT3br ESCC patients.

Methods: In this retrospective cohort study, patients with cT3br ESCC who received either NACI or NCRT followed by surgery between January 2016 and December 2022 were identified.

Volcano: a pipeline to characterize long terminal repeat-retrotransposons families in plants.

Motivation: Long Terminal Repeat Retrotransposons (LTR-RTs) comprise a significant portion of repetitive sequences in numerous plant species. LTR-RTs hold considerable functional significance, as they can impact gene family functionality and contribute to the formation of new genes. Investigating the quantities and activities of LTR-RTs is essential for understanding species' evolutionary dynamics and the foundational mechanisms driving genome evolution.

An explainable predictive machine learning model for axillary lymph node metastasis in breast cancer based on multimodal data: A retrospective single-center study.

Objective: To develop explainable machine learning models that integrate multimodal imaging and pathological biomarkers to predict axillary lymph node metastasis (ALNM) in breast cancer patients and assess their clinical utility.

Materials And Methods: A retrospective study was conducted on clinical data from 401 patients with pathologically confirmed breast cancer. Ten machine learning algorithms-including Naïve Bayes, Random Forest, Logistic Regression, and Support Vector Machines-were implemented to construct predictive models.

Whole-tumor histogram analysis of synthetic MRI for discriminating benign from malignant sinonasal tumors: correlations with histopathologic factors.

Background: Histogram parameters from synthetic magnetic resonance imaging (SyMRI) may provide more diagnostic information than mean values in differentiating benign from malignant sinonasal tumors. The histopathologic basis of SyMRI in characterizing malignant sinonasal tumors is still unclear. This study aimed to explore the potential value of SyMRI quantitative maps with whole-lesion histogram analysis in the diagnosis of benign and malignant sinonasal tumors and the correlations between SyMRI-derived histogram metrics and histopathologic features in malignant sinonasal tumors.

The neurocognitive mechanism underlying math avoidance among math anxious people.

This study explores the cognitive and neural mechanisms underlying math avoidance in individuals with high math anxiety (HMA), a pattern contributing to reduced practice and poor performance. Using an approach-avoid conflict paradigm and both general linear mixed model and Hierarchical Drift Diffusion Model (HDDM) regression analyses, we found their avoidance behavior is primarily driven by heightened sensitivity to task difficulty, rather than reward sensitivity. Task difficulty sensitivity also mediated the link between math anxiety and avoidance tendency.

Differentiated Embedded Pilot Assisted Automatic Modulation Classification for OTFS System: A Multi-Domain Fusion Approach.

Orthogonal time-frequency space (OTFS) modulation has emerged as a promising technology to alleviate the effects of the Doppler shifts in high-mobility environments. As a prerequisite to demodulation and signal processing, automatic modulation classification (AMC) is essential for OTFS systems. However, a very limited number of works have focused on this issue.

The role of the SIX family in cancer development and therapy: Insights from foundational and cutting-edge research.

The SIX (Sine Oculis homeobox) gene family plays a crucial role in carcinogenesis and cancer therapy by encoding transcription factors that regulate a diverse array of downstream target genes through mechanisms of repression and activation. This review, founded on existing research and incorporating bioinformatics tools, summarizes the expression patterns, prognostic significance, functional roles, and underlying mechanisms of the SIX family across various tumor types. Additionally, it explores the impact of the SIX family in multiple cancer treatment approaches, including cancer chemotherapy, radiotherapy, targeted therapy, immunotherapy, and herbal or natural ingredient therapy.

Leucine-rich alpha-2-glycoprotein 1 (LRG1) decrement during biologics therapy and its correlation with disease features and treatment outcomes in rheumatoid arthritis patients.

Objectives: Leucine-rich alpha-2-glycoprotein 1 (LRG1) was previously reported to regulate inflammation and arthritis progression. This study aimed to investigate the correlation of serum LRG1 level with disease features and response to biologics in rheumatoid arthritis (RA) patients.

Methods: Seventy-eight RA patients who underwent biologics treatment were analyzed.

Comparison of Bio-meteorological index and temperature linked mortality: A case study from Ahmedabad city, India.

The traditional approaches rely solely on temperature measures to assess heat-related health risks; but there is a growing trend towards using bio-meteorological indices for a more comprehensive evaluation. However, the adoption of bio-meteorological indices in developing countries is considerably limited. Therefore, this study compares bio-meteorological index, the maximum Universal Thermal Climate Index (UTCI) with single-exposure maximum temperature (Tmax) for assessing heat-related mortality risks in Ahmedabad city of India.

Surface-engineered CeO bond architectures maximizing atomic efficiency for superior oxygen reduction in magnesium-air battery systems.

The strategic design of atomic-efficient catalysts through targeted bonding engineering remains pivotal for advancing oxygen reduction reaction (ORR) in metal-air batteries. This study pioneers a comparative investigation between surface-engineering CeO bond construction (Ce surface decorated MnO, Ce-SD-MnO) and conventional bulk doping strategy (Ce bulk doping MnO, Ce-BD-MnO), revealing fundamental structure-activity relationships. Advanced High-Angle Annular Dark-Field Scanning Transmission Electron Microscopy (HAADF-STEM) and X-ray Absorption Fine Structure (XAFS) analyses demonstrate that surface-anchored Ce atoms induce localized lattice distortion in Ce-SD-MnO, generating synergistic surface defects and oxygen vacancies, while Ce-BD-MnO merely causes non-active lattice expansion.

Machine learning and the nomogram as the accurate tools for predicting postoperative malnutrition risk in esophageal cancer patients.

Background: Postoperative malnutrition is a prevalent complication following esophageal cancer surgery, significantly impairing clinical recovery and long-term prognosis. This study aimed to develop and validate predictive models using machine learning algorithms and a nomogram to estimate the risk of malnutrition at 1 month after esophagectomy.

Methods: A total of 1,693 patients who underwent curative esophageal cancer surgery were analyzed, with 1,251 patients allocated to the development cohort and 442 to the validation cohort.

Linking gray matter structure to trust in mild cognitive impairment: a voxel-based morphometry study.

Older adults with mild cognitive impairment (MCI) exhibit a reduction in trust propensity (TP), which is correlated with heightened affective sensitivity to betrayal. However, the mediating role of this affective component in declining TP in MCI and the influence of structural brain alterations on reduced TP via affect warrant further investigation. We conducted multiple mediation analyses to assess whether differences in TP between MCI and normal healthy controls (NHCs) were mediated by affect, motivation, executive function, and social cognition.

Analysis of Quality, Reliability, and Content of Cervical Cancer-Related Chinese Videos on TikTok.

TikTok is one of the most popular video-sharing social media platforms currently, with an increasing number of users posting and searching for cervical cancer-related videos. However, the quality and reliability of these videos have not been thoroughly evaluated. We conducted searches using #cervical cancer on TikTok, reviewed all included videos, and identified seven themes related to cervical cancer for analysis.

Precision Visualization of Surgical Margins and Depth Imaging Performance in Orthotopic Hepatocellular Carcinoma Using Galactose-Targeted NIR-II Fluorescence Nanoprobe.

Accurate identification of tumor margins during liver cancer resection is crucial for improving prognosis and reducing postoperative complications. This study investigated the feasibility of using a galactose-targeted nanofluorescent probe known as Gal-OH-BDP NPs (GOB NPs), which emits in the NIR-II window, for fluorescence imaging of orthotopic hepatocellular carcinoma in animal models. In vitro imaging was performed with Intralipid emulsion and chicken breast to assess the tissue penetration depth of the GOB NPs and ICG in the NIR window.

Bi-stability and period-doubling cascade of frequency combs in exceptional-point lasers.

Recent studies have demonstrated that a laser can self-generate frequency combs when tuned near an exceptional point (EP), where two cavity modes coalesce. These EP combs induce periodic modulation of the population inversion in the gain medium, and their repetition rate is independent of the laser cavity's free spectral range. In this work, we perform a stability analysis that reveals two notable properties of EP combs, bi-stability and a period-doubling cascade.

GO-HNT framework-based hydrogels with efficient water evaporation-driven cooling and superior electromagnetic wave absorption.

Heat dissipation and electromagnetic wave absorption (EWA) are crucial for mitigating heat accumulation and electromagnetic interference issues in electronics. Conventionally, incorporation of specific fillers to polymer substrates is widely adopted to address these issues, although it is often challenging to simultaneously realize high thermal conductivity and effective EWA performance this approach. In this work, graphene oxide/halloysite nanotube (GH) frameworks were incorporated into hydrogels.

Dynamic changes of rice sheath non-structural carbohydrates and source-sink balance under elevated atmospheric CO concentration and temperature stresses.

Rising CO levels and temperatures significantly affect rice yield and quality by altering key physiological processes. As vital carbon reserves, non-structural carbohydrates (NSC) maintain the source-sink balance, directly influencing grain filling and food security. This study simulated high CO and temperature conditions using open-top chambers with four treatment groups: control (ACT, ambient CO at 415 ppm and temperature), elevated CO (EC, 600 ppm CO), elevated temperature (ET, ambient +2 °C), and combined CO and temperature elevation (ECT, 600 ppm CO +2 °C).