Integrated genetic analysis and single cell-RNA sequencing for brain image-derived phenotypes and Parkinson's disease.

Background: Previous studies have reported Parkinson's disease (PD) patients usually have changes in brain image-derived phenotypes (IDPs). However, the role of genetic factors in their association and biological mechanism remains unclear. We aimed to unveil genetic and biological links between brain IDPs and PD.

NaHS@Cy5@MS@SP nanoparticles improve rheumatoid arthritis by inactivating the Hedgehog signaling pathway through sustained and targeted release of HS into the synovium.

Background: Aberrant proliferation and inflammation of fibroblast-like synoviocytes (FLSs) significantly contribute to the pathogenesis of rheumatoid arthritis (RA). Deficiency of hydrogen sulfide (HS) is a driving force for the development of RA, and the short half-life of the HS-releasing donor sodium hydrosulfide (NaHS) limits its clinical application in RA therapy. Designing a targeted delivery system with slow-release properties for FLSs could offer novel strategies for treating RA.

Association between community environment and depression: Evidence from a population-based study in China.

Objective: Less is known about the association between community environment and depression. To bridge this gap, the aim of this research is to explore the association between community environment and depression using panel data.

Methods: The data of the present study were sourced from 2016 and 2020 waves of China Family Panel Studies.

Decoding SSVEP Via Calibration-Free TFA-Net: A Novel Network Using Time-Frequency Features.

Brain-computer interfaces (BCIs) based on steady-state visual evoked potential (SSVEP) signals offer high information transfer rates and non-invasive brain-to-device connectivity, making them highly practical. In recent years, deep learning techniques, particularly convolutional neural network (CNN) architectures, have gained prominence in EEG (e.g.

Alleviate the Impact of Heterogeneity in Network Alignment From Community View.

Network alignment is a fundamental problem in various domains since it can establish bridges for the same entity (i.e., anchor nodes) between different networks.

The Neural Basis of the Effect of Transcutaneous Auricular Vagus Nerve Stimulation on Emotion Regulation Related Brain Regions: An rs-fMRI Study.

Transcutaneous auricular vagus nerve stimulation (taVNS) is a promising neurostimulation approach for emotion regulation. This research aimed to clarify the underlying neural basis responsible for taVNS's impact on emotional regulation related brain regions. Thirty-two healthy volunteers were allocated into a taVNS group, which received electrical stimulation at the concha area of the ear, and a sham group, which received earlobe stimulation.

Ultrasound-based measurement of optic nerve sheath to evaluate increased intracranial pressure on patients in emergency department.

Background And Aims: Recent studies reported that non-invasive imaging techniques for measuring optic nerve sheath diameter (ONSD) offer a novel diagnostic approach for intracranial pressure (ICP) elevation. However, whether ultrasound-measured ONSD sensitively evaluate the real-time ICP is unknown. This study explores the ability of different measurement modalities to predict ICP elevation, aiming to provide a superior non-invasive ICP monitoring technique for clinical practice.

LGENet: disentangle anatomy and pathology features for late gadolinium enhancement image segmentation.

Myocardium scar segmentation is essential for clinical diagnosis and prognosis for cardiac vascular diseases. Late gadolinium enhancement (LGE) imaging technology has been widely utilized to visualize left atrial and ventricular scars. However, automatic scar segmentation remains challenging due to the imbalance between scar and background and the variation in scar sizes.

Transdiagnostic Connectome-Based Prediction of Response Inhibition.

Response inhibition (RI) deficits are a core feature across diagnostic categories of mental disorders. However, it remains unclear whether the brain networks underlying different forms of RI deficits are disorder-shared or disorder-specific, and how they interact with aberrant brain connectivity across disorders. Connectome-based predictive modeling (CPM) provides a novel approach for exploring the brain networks associated with RI abnormalities across diagnostic categories of mental disorders.

Sustained-Release HS Nanospheres Regulate the Inflammatory Microenvironment of Wounds, Promote Angiogenesis and Collagen Deposition, and Accelerate Diabetic Wound Healing.

Diabetic wounds are blocked in the inflammatory stage, growth factors are degraded, and blood vessels are difficult to regenerate, leading to continuous necrosis and nonhealing of the wound. Hydrogen sulfide (HS) plays an important role in the pathophysiological process of wound healing and has a long history of treating skin diseases. Although the sulfide salt solution is the preferred donor of exogenous HS, its rapid release rate, excess production, and difficulty in accurately controlling the dose limit its use.

Tyrosine kinase 2 inhibitors: Synthesis and applications in the treatment of autoimmune diseases.

Janus kinase (JAK), a class of non-receptor tyrosine kinases, are essential in modulating the cytokine signaling cascade of cytokines associated with immune responses. Despite their potential in the treatment of autoimmune diseases, JAK inhibitors are associated with safety concerns, regarding cytokine suppression and significant side effects. Tyrosine kinase 2 (TYK2), a prominent member of the JAK family, is central to the signaling of interleukins (ILs) and interferons (IFNs), such as IL-12, IL-23 and IFNs.

Deciphering the inhibitory mechanisms of didecyldimethylammonium chloride on microalgal removal of fluoxetine: Insights from the alterations in cell surface properties and the physio-biochemical and molecular toxicity.

The COVID-19 pandemic has increased the co-occurrence of quaternary ammonium compounds (QACs) and antidepressants in aquatic environments. Microalgae are sustainable and cost-effective candidates for removing emerging pollutants. QACs have a robust ability to adsorb on cell surface and alter membrane permeability, but little is known about the influence of QACs on microalgal bioremediation of co-existing pollutants like antidepressants.

Clinical Value of MiR-191-5p in Patients with Sepsis and Its Regulatory Role in Sepsis-Related Left Ventricular Systolic Dysfunction.

In this study, the expression and clinical value of miR-191-5p in sepsis and sepsis-induced left ventricular systolic dysfunction are explored, and the effects of miR-191-5p on inflammation and cardiac function in rats are examined by establishing a septic rat model.The expression level of serum miR-191-5p was detected via reverse transcription quantitative polymerase chain reaction. To evaluate the diagnostic efficacy of miR-191-5p in sepsis, the receiver operator characteristic curve was established.

[IL-6 upregulates the expression of human placental MSC SPP1 through the NF-κB signaling pathway and promotes M2 macrophage polarization].

Objective To investigate the molecular mechanism of IL-6 regulating the expression of secretory phosphoprotein 1 (SPP1) in human placental-derived mesenchymal stem cells (hfPMSCs) and influencing the polarization of macrophages. Methods hfPMSCs were prepared by enzymatic digestion and cultured in a defined, serum-free medium. The morphology of hfPMSCs was observed under a microscope, and the expression of surface markers CD14, CD34, CD45, CD73, CD90, CD105, and human leukocyte antigen DR (HLA-DR) was detected by flow cytometry.

Association between functional disability and mental health among Chinese older adults: Examining the moderating effects of social participation and physical exercise.

Background: Functional disability significantly burdens healthcare services, negatively affecting older adults' social interaction and quality of life. This study aims to identify the association between functional disability and mental health, and examine the moderating effects of social participation and physical exercise on the association.

Methods: The data were drawn from 2018 wave of Chinese Longitudinal Healthy Longevity Survey, and ordinary least squares regression model was exploited to explore the association between functional disability and mental health.

Development and validation of VTE prevention beliefs questionnaire for neurosurgical hospitalized patients based on HBM: a cross-sectional study.

Patients hospitalized for neurosurgical procedures are highly susceptible to venous thromboembolism (VTE). It is crucial to evaluate the prevention beliefs of VTE among neurosurgical inpatients and analyse the influencing factors. This research sought to create an instrument grounded in the Health Belief Model (HBM) to evaluate the beliefs about VTE prevention and the factors influencing these beliefs among neurosurgical inpatients.

Connectome-based prediction modeling of cognitive control using functional and structural connectivity.

Background: Cognitive control involves flexibly configuring mental resources and adjusting behavior to achieve goal-directed actions. It is associated with the coordinated activity of brain networks, although it remains unclear how both structural and functional brain networks can predict cognitive control. Connectome-based predictive modeling (CPM) is a powerful tool for predicting cognitive control based on brain networks.

Sugar transporters PpSWEET9a and PpSWEET14 synergistically mediate peach sucrose allocation from source leaves to fruit.

Sugar content is a critical indicator of fruit quality and is mainly controlled by sugar transporters. Sugars will eventually be exported transporters (SWEET) proteins play an indispensable role in sugar allocation between and within plant organs. Sucrose is the major sugar in many fruits and the predominant form of sugar translocated in peach (Prunus persica).

A systematic review on electrochemical sensors for the detection of acetaminophen.

Considerable progress has been made in the electrochemical determination of acetaminophen (AP) over the past few decades. Nanomaterials or enzymes as electrode modifiers greatly improve the performance of AP electrochemical sensors. This review focuses on the development potential, detection principles and techniques for the electrochemical analysis of AP.

Cross-Modality Medical Image Segmentation via Enhanced Feature Alignment and Cross Pseudo Supervision Learning.

Given the diversity of medical images, traditional image segmentation models face the issue of domain shift. Unsupervised domain adaptation (UDA) methods have emerged as a pivotal strategy for cross modality analysis. These methods typically utilize generative adversarial networks (GANs) for both image-level and feature-level domain adaptation through the transformation and reconstruction of images, assuming the features between domains are well-aligned.