Multimodal bioprinting of pigmented skin with algorithm-tuned control.

This study addresses critical technical challenges in fabricating functional pigmented skin models via 3D bioprinting through the synergistic integration of droplet-based deposition and precision motion control. A hybrid bioprinting strategy was developed to create multilayer biomimetic architectures: the dermal layer was fabricated through extrusion of gelatin methacryloyl-polyacrylamide (GelMA-PAM) composites, while the epidermal layer incorporated precisely patterned melanocyte-laden GelMA-PAM arrays deposited via microvalve technology, subsequently solidified and populated with keratinocytes. To enhance printing reliability, a fractional-order proportional-integral control system optimized through particle swarm optimization (PSO-FOPI) was implemented, significantly improving motor speed regulation and positioning accuracy.

Utility of Polygenic Risk Scores in Families with Exceptional Longevity.

Introduction: Polygenic risk scores (PRS) have been used to assess an individual's risk for various diseases, including Alzheimer's disease (AD). This study applied the PRS approach to a cohort of families ascertained for healthy aging, that have shown a reduced risk of AD. Using the SNPs identified as significantly associated with AD in the study by Kunkle and colleagues, we examined the utility of PRS for predicting AD risk in a cohort ascertained for familial healthy aging.

Comprehensive Identification and Unveiling Key Nitrate-Transporting Proteins in Oat ( L.).

Background: Nitrate transporter NRT1/PTR family (NPF) proteins are crucial for plant nitrogen uptake and utilization. As an important hexaploid crop for grain and forage, oat ( L.) requires substantial levels of nitrogen.

Machine Learning and Interpretability Study for Predicting 30-Day Unplanned Readmission Risk of Schizophrenia: A Retrospective Study.

Purpose: To build a 30-day unplanned readmission (UPR) risk prediction model based on machine learning (ML) and SHapley Additive exPlanation (SHAP) with data obtained from the electronic medical records (EMRs) of patients with schizophrenia, so as to provide support for early intervention in clinical treatment.

Patients And Methods: This retrospective study selected 1,123 patients with schizophrenia who were hospitalized at least once from January 1, 2021 to June 30, 2024 according to their EMRs. Models were constructed after screening variables using the multiple linear regression and feature importance methods.

Efficient federated graph aggregation for privacy-preserving GNN-based session recommendation.

Graph Neural Networks (GNN) have attracted increasing attention due to their efficient performance in recommendation systems. However, applying GNNs in session-based recommendations with emerging federated learning (FL) for a privacy-preserving recommendation is challenging. Firstly, constructing a global graph in a centralized manner is forbidden due to the privacy-preserving constraints of FL.

Robo1 CAR-NK92 and radiotherapy exert synergistic efficacy in solid tumors.

Background: The efficacy of chimeric antigen receptor natural killer (CAR-NK) cells in treating solid tumors is often limited, primarily due to the tumor microenvironment (TME), which hinders the recognition and infiltration of CAR-NK cells. Radiotherapy has been shown to modify the TME, enhance immune cell infiltration, and improve the recognition of tumor cells by immune cells. This study aimed to investigate the effects of combining radiotherapy with CAR-NK cells in a solid tumor model.

Bromide-mediated selective electrocatalytic oxidation of ethylene to ethylene glycol using non-precious metal catalyst Sn-NiSbO.

This study addresses fossil fuel dependency and carbon emissions in traditional ethylene glycol synthesis by developing a bromine-mediated indirect electrocatalytic oxidation strategy for ethylene using a Sn-NiSbO catalyst. At 500 mA cm, the system achieves 79% selectivity and 53% faradaic efficiency, validating the feasibility of non-noble metal catalysts for anodic selective oxidation.

How do multimedia and blended learning enhance music elective courses? examining the roles of learning attitudes, styles, and teaching presence.

This study aims to explore the possibility of using Internet resources to enhance the educational effect of music elective courses in colleges and universities. Moreover, this study analysed students' perception of blended learning mode and their continuous learning intention. The study adopted the Technology Acceptance Model (TAM) and the theory of sustained learning intention as theoretical frameworks, combined with factors such as learning attitude and learning style, to explore the impact of these factors on students' learning outcomes.

Global trends in sitosterolemia research: A bibliometric and visualization analysis.

Background: Sitosterolemia is a rare autosomal recessive genetic lipid metabolism disorder characterized by high concentrations of plant sterols in plasma and tissues, which can cause a variety of clinical symptoms, such as xanthomatosis, atherosclerosis, and arthritis. In recent years, more and more scholars have begun to pay attention to the special disease of sitosterolemia. Bibliometric analysis, as a method of quantitative analysis of scientific literature, can help us systematically understand the research status and development trends in this field.

Machine Learning Techniques Applied to COVID-19 Prediction: A Systematic Literature Review.

COVID-19 was one of the most serious global public health emergencies in recent years, and its extremely fast spreading speed had a profound negative impact on society. A comprehensive analysis and prediction of COVID-19 could lay a theoretical foundation for monitoring and early warning systems. Since the outbreak of COVID-19, there has been an influx of research on predictive modelling, with artificial intelligence (AI) techniques, particularly machine learning (ML) methods, becoming the dominant research direction due to their superior capability in processing multidimensional datasets and capturing complex nonlinear transmission patterns.

CS/Gel/MWCNTs Conductive Scaffolds Assisted by Electrical Stimulus for Skin Tissue Engineering.

Hydrogel scaffolds show high potential in tissue engineering due to excellent mechanical properties and biocompatibility. However, an inherent lack of conductivity limits its application in areas requiring electrical stimulation. To address this issue, chitosan (CS)/gelatin (Gel) scaffolds were prepared with various concentrations of multi-walled carbon nanotubes (MWCNTs).

Tumor microenvironment-associated oxidative stress impairs SIRT1 secretion to suppress anti-tumor immune response.

Sirtuin-1 (SIRT1) is a classical histone deacetylase well known for its roles in intracellular pathways such as energy metabolism, DNA damage response, and genome stability maintenance. We report that SIRT1 can be secreted into the tumor microenvironment (TME) through an unconventional protein secretion pathway, effectively inhibiting tumor growth. However, under the stressful conditions of the TME, SIRT1 undergoes increased methylation, which impedes its secretion.

Integrating meteorological data and hybrid intelligent models for dengue fever prediction.

Background: Dengue fever is a globally prevalent arbovirus disease that poses a serious challenge to global health. Therefore, analyzing the relationship between dengue fever incidence and meteorological factors and developing a more effective prediction model based on this relationship can provide a theoretical basis for public health departments to formulate reasonable prevention strategies.

Methods: We collected dengue fever cases and meteorological data, including temperature, humidity, sunshine duration, etc.

ROS-ATM-CHK2 axis stabilizes HIF-1α and promotes tumor angiogenesis in hypoxic microenvironment.

Hypoxia is an established hallmark of tumorigenesis. HIF-1α activation may be the prime driver of adaptive regulation of tumor cells reacting to hypoxic conditions of the tumor microenvironment. Here, we report a novel regulatory mechanism in charge of the fundamental stability of HIF-1α in solid tumor.

Anchoring nanoscale zero-valent iron within bacterial cellulose particles for boosting efficient adsorption of Co(II) and Sr(II) from seawater: Dual system and varying adsorption mechanisms.

Increasing attention has been paid to radioactive wastewater to direct discharge in Japan or accidental leaks. Strontium-90 (Sr) and Cobalt-60 (Co) are the most hazardous nuclides in waste discharged form nuclear reactors. Because of their high solubility and long half-lives, these radioisotopes can persist for hundreds of years before decaying to negligible levels.

Feeding on different hosts displays different hemolymph protein compositions in Haemaphysalis qinghaiensis tick.

Tick hemolymph plays an important role in the transportation of nutrients as well as metabolites. The hemolymph consists of plasma and blood cells, and proteins are the main components of plasma. This study aimed to investigate the protein composition of the hemolymph of Haemaphysalis qinghaiensis and to explore the effects of different hosts on the hemolymph protein composition of ticks, which could provide a reference for the screening of tick-protective antigens.

Peripheral nerve regeneration with 3D printed bionic double-network conductive scaffold based on GelMA/chitosan/polypyrrole.

Peripheral nerve injury (PNI) is a serious condition with limited surgical treatment options available. Conductive hydrogels have emerged as a promising alternative due to their ability to facilitate electrical signal exchange between cells and replicate the physiological microenvironment of electroactive tissues. Three-dimensional (3D) printing offers an innovative approach for fabricating neural scaffolds with precise structures and complex spatial architectures.

Different IL-1β levels differentially mediate neuroprotection or neurodegeneration and may be related to BDNF.

Background: The detrimental and protective effects of interleukin 1β (IL-1β) have been reported. We have previously shown that the periods of IL-1β elevation is related to its dual effects. However, the effects of different IL-1β concentrations on neuropathological processes are unclear.

Clinical Significance and Pathogenic Mechanisms of Long Non-Coding RNA TRPM2-AS in Cancers.

Long non-coding RNAs (lncRNAs) are known to play vital roles in human cancers. LncRNA TRPM2-AS has been found to be upregulated in various types of cancers. The elevated levels of TRPM2-AS are associated with important clinicopathological parameters such as tumor size, tumor stage, and lymph node metastasis, revealing that TRPM2-AS could be a potential target for cancer diagnosis, prognosis and treatment.

Small Extracellular Vesicles from Young Healthy Human Plasma Inhibit Cardiac Fibrosis After Myocardial Infarction via miR-664a-3p Targeting SMAD4.

Purpose: Cardiac fibrosis, a key contributor to ventricular pathologic remodeling and heart failure, currently lacks effective therapeutic approaches.

Patients And Methods: Small extracellular vesicles from young healthy human plasma (Young-sEVs) were characterized via protein marker, transmission electron microscopy, and nanoparticle tracking analysis, then applied in cellular models and mouse models of cardiac fibrosis. Western blotting and qRT-PCR were used to identify protective signaling pathways in cardiac fibroblasts (CFs).

The deacetylase SIRT6 reduces amyloid pathology and supports cognition in mice by reducing the stability of APP in neurons.

Alzheimer's disease (AD) is an aging-related neurodegenerative disorder that results in progressively impaired memory and is often associated with amyloid plaques. Previous studies implicate the deacetylases SIRT1 and SIRT2 in regulating the processing of amyloid precursor protein (APP). Here, we investigated whether APP is regulated by the related deacetylase SIRT6, which shows aging-associated decreases in activity.

3D Printed GelMA/CHIMA Cross-Linked Network Hydrogel for Angiogenesis.

Vascularization is a key issue facing the construction of functional three-dimensional (3D) tissues, which is critical for the long-term survival and stability of tissue construct transplantation. In this study, a photocurable hydrogel material carboxymethyl chitosan (CHIMA) was successfully prepared and integrated with methacryloyl gelatin (GelMA) to construct the bioink GelMA/CHIMA, which was subsequently used 3D printing technology to prepared a bioactive scaffold with angiogenesis-inducing functionality. The results showed that the cross-linked GelMA/CHIMA bioink had a porous structure that supported cell growth and metabolism.

A novel annexin dimer targets microglial phagocytosis of astrocytes to protect the brain-blood barrier after cerebral ischemia.

Despite the vital role of astrocytes in preserving blood-brain barrier (BBB) integrity, their therapeutic potential as targets in ischemic stroke-induced barrier disruption remains underexplored. We previously reported externalization of phosphatidylserine (PS) on astrocytic membranes concurrent with the emergence of PS externalization in neurons. PS externalization of astrocytes induced microglial phagocytosis of astrocytes, resulting in reduced astrocyte-vascular coupling and subsequent BBB breakdown.

Analysis and prediction of infectious diseases based on spatial visualization and machine learning.

Infectious diseases are a global public health problem that poses a threat to human society. Since the 1970s, constantly mutated new infectious viruses have been quietly attacking humanity, and at least one new type of infectious disease is discovered every year. Therefore, early warning of infectious diseases will greatly reduce the socio-economic harm of infectious diseases.