Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes.

Background: Breast cancer, a highly prevalent global cancer, poses significant challenges, especially in advanced stages. Prognostic models are crucial to enhance patient outcomes. Tertiary lymphoid structures (TLS) within the tumor microenvironment have been associated with better prognostic outcomes.

The Effectiveness of Digital Animation-Based Multistage Education for Patients With Atrial Fibrillation Catheter Ablation: Randomized Clinical Trial.

Background: Digital education for outpatient patients with atrial fibrillation (AF) has gradually increased. However, research on digital education for patients undergoing atrial fibrillation catheter ablation (AFCA) is limited.

Objective: This study aimed to develop a novel digital animation-based multistage education system and evaluate its quality-of-life benefits for patients with AFCA.

YEATS2 promotes malignant phenotypes of esophageal squamous cell carcinoma via H3K27ac activated-IL6ST.

Introduction: Histone acetylation modifications can regulate gene transcription and play crucial roles in multiple tumorigeneses processes. YEATS domain proteins are one important type of acetylation readers. We have found significant mutations and copy number amplifications of YEATS domain containing 2 (YEATS2) gene in esophageal squamous cell carcinoma (ESCC) through whole genome sequencing (WGS).

Virome specific to tick genus with distinct ecogeographical distribution.

Background: The emergence of tick-borne pathogens poses a serious threat to both human and animal health. There remains controversy about virome diversity in relation to tick genus and ecogeographical factors.

Results: We conducted the meta‑transcriptomic sequencing of 155 pools of ticks encompassing 7 species of 3 genera collected from diverse geographical fauna of Ningxia Province, China.

Gastrodin promotes CNS myelinogenesis and alleviates demyelinating injury by activating the PI3K/AKT/mTOR signaling.

Demyelination is a common feature of numerous neurological disorders including multiple sclerosis and leukodystrophies. Although myelin can be regenerated spontaneously following injury, this process is often inadequate, potentially resulting in neurodegeneration and exacerbating neurological dysfunction. Several drugs aimed at promoting the differentiation of oligodendrocyte precursor cells (OPCs) have yielded unsatisfactory clinical effects.

Thermal transformations and dissociations in polycrystalline COhydrates.

COhydrates show promising application in COsequestration, as well as natural gas recovering from hydrate-bearing sediments, in which the stability of COhydrates plays a vital role in these practical applications. Here, we report the thermal dissociation and cage transformations in polycrystalline COhydrates via high-throughput molecular dynamics simulations and machine learning (ML). It is revealed that the melting points of polycrystalline COhydrates (PCO2H) are dictated by the microstructural cages, in which the 5, 56and 456cages predominate.

Mind-body intervention for post-traumatic stress disorder in adolescents: a systematic review and network meta-analysis.

Background: Post-traumatic stress disorder (PTSD) is a potentially disabling condition that can lead to long-term impairments, with a significant proportion of adolescents being affected by trauma. Studies have suggested that trauma-focused cognitive behavioral therapy (TF-CBT) is an effective treatment for PTSD in adolescents, however, little is known about the relative advantages of different mind-body interventions. The network meta-analysis aims to evaluate and compare the efficacy of various mind-body interventions in alleviating PTSD symptoms in adolescents.

Multidimensionality of tree communities structure host-parasitoid networks and their phylogenetic composition.

Environmental factors can influence ecological networks, but these effects are poorly understood in the realm of the phylogeny of host-parasitoid interactions. Especially, we lack a comprehensive understanding of the ways that biotic factors, including plant species richness, overall community phylogenetic and functional composition of consumers, and abiotic factors such as microclimate, determine host-parasitoid network structure and host-parasitoid community dynamics. To address this, we leveraged a 5-year dataset of trap-nesting bees and wasps and their parasitoids collected in a highly controlled, large-scale subtropical tree biodiversity experiment.

Exploration of oral microbiota alteration and AI-driven non-invasive hyperspectral imaging for CAD prediction.

Background: Oral microbiome dysbiosis is an important risk factor affecting the occurrence and progression of coronary artery disease (CAD). However, the dysbiosis on the tongue in patients with CAD is still unclear, and whether the oral alteration caused by these disorders can be identified by other tools for CAD diagnosis needs to be further explored. Hyperspectral imaging (HSI) is characterized as high spectral resolution, broad spectral range, and superior spatial resolution.

An ultrastretchable seamlessly integrated contactless charging microsystem towards skin-attachable wireless microelectronics.

For electronics to be wearable, contactless charging and overall deformability are necessary pre-conditions. However, the current heterogeneous integration based on different active materials and separate manufacturing often leads to mechanical mismatch. Here, we report an ultrastretchable all-in-one integrated MXene-based microsystem comprising wireless coils, micro-supercapacitors (MSCs) and strain sensors.

Spatial Confinement-Enhanced Electrochemiluminescence of Gold Nanoclusters on 3D Porous ZrO Hollow Nanospheres for the Assessment of Acute Myocardial Infarction Protein Markers.

Herein, the gold nanoclusters@three-dimensional (3D) porous ZrO hollow nanospheres (Au NCs@ZrO) with spatial confinement-enhanced electrochemiluminescence (SCE-ECL) were first prepared to fabricate a biosensing platform for the ultrasensitive detection of insulin-like growth factor 1 (IGF-1), which was associated with cardiovascular disease, malignant tumor, and neuropathic pain. Specifically, the confinement of Au NCs in a 3D microenvironment significantly boosted the optical radiation of excited Au NCs because the vibration of ligand molecules was restricted, and the recombination of holes and electrons of excited Au NCs was facilitated in the optical process for enhancing ECL efficiency, resulting in 5.1-fold stronger ECL efficiency than Au NCs.

Surface Charge Redistribution-Induced Electrochemiluminescence Enhancement of Gold Nanoclusters: The Novel Generation of Efficient Illuminants.

Herein, we developed the agmatine/6-aza-2-thiothymine templated gold nanoclusters (Agm/ATT-Au NCs) as a novel electrochemiluminescence (ECL) illuminant, which exhibited high ECL in the annihilation path via the newly defined urface harge edistribution-nduced ECL nhancement (SCRIE). Impressively, the electrochemical redox reaction of Agm/ATT-Au NCs was enhanced owing to the boosted electron transfer kinetics of the illuminant by the positively charged Agm-triggered surface charge redistribution of ATT-Au NCs, resulting in an ∼110-fold higher ECL signal of Agm/ATT-Au NCs than ATT-Au NCs. This work digs deep into the electrogenerated process of the annihilation mechanism to direct the rational design of an efficient illuminant.

Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach.

Background And Objective: Cloud-based Deep Learning as a Service (DLaaS) has transformed biomedicine by enabling healthcare systems to harness the power of deep learning for biomedical data analysis. However, privacy concerns emerge when sensitive user data must be transmitted to untrusted cloud servers. Existing privacy-preserving solutions are hindered by significant latency issues, stemming from the computational complexity of inner product operations in convolutional layers and the high communication costs of evaluating nonlinear activation functions.

Integrating the GRACE Score with the Ceramide Risk Score Enhances the Predictive Accuracy of Major Adverse Cardiac Events in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

Background: Ceramide, a key molecule in sphingolipid metabolism, is recognized as a standalone predictor of long-term major adverse cardiac events (MACE). We explore if integrating the global registry of acute coronary events (GRACE) score with the ceramide risk score (ceramide test 1, CERT1) improves MACE prediction in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI).

Methods: This cohort study included 210 participants with ACS undergoing PCI.

Construction of organic heterojunctions as metal-free photocatalysts for enhancing water splitting and phenol degradation by regulating charge flow.

Metal-free photocatalysts derived from earth-abundant elements have drawn significant attention owing to their ample supply for potential large-scale applications. However, it is still challenging to achieve highly efficient photocatalytic performance owing to their sluggish charge separation and lack of active catalytic sites. Herein, we designed and constructed a series of covalently bonded organic semiconductors to enhance water splitting and phenol degradation.

Dynamics of wheat rhizosphere microbiome and its impact on grain production across growth stages.

Crop plant microbiomes are increasingly seen as important in plant nutrition and health, and a key to maintaining food productivity. Currently, little is known of the temporal changes that occur in the wheat rhizosphere microbiome as the plant develops, and how this varies among different sites. We used a pot-based mesocosm experiment with the same modern wheat cultivar grown in eight soils from across the North China Plain, a major wheat producing area.

Multimodal data-based longitudinal prognostic model for predicting atrial fibrillation recurrence after catheter ablation in patients with patent foramen ovale and paroxysmal atrial fibrillation.

Background: Clinical studies on atrial fibrillation (AF) recurrence after catheter ablation in patients diagnosed with patent foramen ovale (PFO) and paroxysmal AF (PAF) are scarce. Here, we aimed to develop a nomogram model utilizing multimodal data for the risk stratification of AF recurrence following catheter ablation in individuals diagnosed with PFO and new-onset PAF.

Methods: Patients with PFO and PAF who underwent catheter ablation at the Renmin Hospital of Wuhan University from January 2018 to June 2020 were consecutively enrolled.

Microtubular structured random lasers as microfluidic channels for multifunctional sensing.

Random lasers (RLs) with a simple structure and low-cost properties have been recognized as an ideal analytical platform and are still challenging for liquid detecting, remaining beset for low sensitivity, complicated operation, and large analyte consumption. Here, inspired by a microfluidic sensor, a microtubule structured random laser for multifunctional sensing is demonstrated. The random laser is achieved resorting to a curly PMMA film with gain and scatterers embedded in it.

Cationic peptides cause memory loss through endophilin-mediated endocytosis.

The zeta inhibitory peptide (ZIP) interferes with memory maintenance and long-term potentiation (LTP) when administered to mice. However, mice lacking its putative target, protein kinase PKMζ, exhibit normal learning and memory as well as LTP, making the mechanism of ZIP unclear. Here we show that ZIP disrupts LTP by removing surface AMPA receptors through its cationic charge alone.

RBBP6 anchors pre-mRNA 3' end processing to nuclear speckles for efficient gene expression.

Pre-mRNA 3' processing is an integral step in mRNA biogenesis. However, where this process occurs in the nucleus remains unknown. Here, we demonstrate that nuclear speckles (NSs), membraneless organelles enriched with splicing factors, are major sites for pre-mRNA 3' processing in human cells.

Chromosome-level genome assembly of Megachile sculpturalis Smith (Hymenoptera, Apoidea, Megachilidae).

Megachile sculpturalis Smith, 1853 native to East Asia, is an important solitary bee species that has invaded both Europe and the United States. This study provides the first chromosome-level genome assembly of M. sculpturalis using a combination of Nanopore long reads, Illumina short reads, and Hi-C data.

Noninvasive Oral Hyperspectral Imaging-Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study.

Background: Oral microenvironmental disorders are associated with an increased risk of heart failure with preserved ejection fraction (HFpEF). Hyperspectral imaging (HSI) technology enables the detection of substances that are visually indistinguishable to the human eye, providing a noninvasive approach with extensive applications in medical diagnostics.

Objective: The objective of this study is to develop and validate a digital, noninvasive oral diagnostic model for patients with HFpEF using HSI combined with various machine learning algorithms.

TClC effectively suppresses the growth and metastasis of NSCLC via polypharmacology.

Despite significant advances in targeted therapies and immunotherapies, non-small cell lung cancer (NSCLC) continues to present a global health challenge, with a modest five-year survival rate of 28 %, largely due to the emergence of treatment-resistant and metastatic tumors. In response, we synthesized a novel bioactive compound, ethyl 6-chlorocoumarin-3-carboxylyl L-theanine (TClC), which significantly inhibited NSCLC growth, epithelial mesenchymal transition (EMT), migration, and invasion and tumor growth and metastasis without inducing toxicity. TClC disrupts autocrine loops that promote tumor progression, particularly in stem-like CD133-positive NSCLC (CD133+ LC) cells, which are pivotal in tumor metastasis.