Predictive value of circulating miR-409-3p for major adverse cardiovascular events in patients with type 2 diabetes mellitus and coronary heart disease.

Objectives: To investigate the serum levels of miR-409-3p in patients with type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD) and its effect on high glucose (HG)-induced myocardial cell injury.

Methods: A total of 250 patients with T2DM admitted to our hospital from April 2020 through April 2022 were enrolled as the study subjects, and then grouped into T2DM+CHD (group #1) and T2DM (group #2). Real-time quantitative PCR (RT-qPCR) was used to measure the levels of serum miR-409-3p.

Z-Scheme AgS-Ag-InO Heterostructure with Efficient Antibiotics Removal under Natural Sunlight.

The widespread distribution of antibiotics in natural waters is a great threat to human health. Photocatalytic degradation is an environmentally friendly technology to remediate antibiotic-polluted waters, driven by endless solar energy. Herein, a Z-scheme AgS-Ag-InO heterostructure photocatalyst is prepared to remove antibiotics under environmental conditions.

The STAT1-SLC31A1 axis: Potential regulation of cuproptosis in diabetic retinopathy.

Background: By identifying molecular biological markers linked to cuproptosis in diabetic retinopathy (DR), new pathobiological pathways and more accessible diagnostic markers can be developed.

Methods: The datasets related to DR were acquired from the Gene Expression Omnibus database, while genes associated with cuproptosis were sourced from previously published compilations. Consensus clustering was conducted to delineate distinct DR subclasses.

Therapeutic potential of flavopiridol in diabetic retinopathy: Targeting DDX58.

Diabetic retinopathy (DR), a common complication of diabetes, is characterized by inflammation and neovascularization, and is intricately regulated by the ubiquitin-proteasome system (UPS). Despite advancements, identifying ubiquitin-related genes and drugs specifically targeting DR remains a significant challenge. In this study, bioinformatics analyses and the Connectivity Map (CMAP) database were utilized to explore the therapeutic potential of genes and drugs for DR.

Oxygen-deficient AgIO for efficiently photodegrading organic contaminants under natural sunlight.

Defect engineering is regarded as an effective strategy to boost the photo-activity of photocatalysts for organic contaminants removal. In this work, abundant surface oxygen vacancies (Ov) are created on AgIO microsheets (AgIO-O) by a facile and controllable hydrogen chemical reduction approach. The introduction of surface Ov on AgIO broadens the photo-absorption region from ultraviolet to visible light, accelerates the photoinduced charges separation and migration, and also activates the formation of superoxide radicals (•O).

Multi-Scale Masked Autoencoders for Cross-Session Emotion Recognition.

Affective brain-computer interfaces (aBCIs) have garnered widespread applications, with remarkable advancements in utilizing electroencephalogram (EEG) technology for emotion recognition. However, the time-consuming process of annotating EEG data, inherent individual differences, non-stationary characteristics of EEG data, and noise artifacts in EEG data collection pose formidable challenges in developing subject-specific cross-session emotion recognition models. To simultaneously address these challenges, we propose a unified pre-training framework based on multi-scale masked autoencoders (MSMAE), which utilizes large-scale unlabeled EEG signals from multiple subjects and sessions to extract noise-robust, subject-invariant, and temporal-invariant features.

Improved Charge Separation and CO Affinity of InO by K Doping with Accompanying Oxygen Vacancies for Boosted CO Photoreduction.

The CO photocatalytic conversion efficiency of the semiconductor photocatalyst is always inhibited by the sluggish charge transfer and undesirable CO affinity. In this work, we prepare a series of K-doped InO catalysts with concomitant oxygen vacancies (O) via a hydrothermal method, followed by a low-temperature sintering treatment. Owing to the synergistic effect of K doping and O, the charge separation and CO affinity of InO are synchronously promoted.

Atypical characteristic changes of surface morphology and structural covariance network in developmental dyslexia.

Background: Developmental dyslexia (DD) is a neurodevelopmental disorder that is characterized by difficulties with all aspects of information acquisition in the written word, including slow and inaccurate word recognition. The neural basis behind DD has not been fully elucidated.

Method: The study included 22 typically developing (TD) children, 16 children with isolated spelling disorder (SpD), and 20 children with DD.

Automatic brain extraction for rat magnetic resonance imaging data using U-Net.

Skull stripping is a key step in the pre-processing of rodent brain magnetic resonance images (MRI). This study aimed to develop a new skull stripping method via U-Net, a neural network model based on deep learning method, for rat brain MRI.In this study, 599 rats were enrolled and U-Net was applied to segment MRI images of rat brain.

Cross-Subject Transfer Method Based on Domain Generalization for Facilitating Calibration of SSVEP-Based BCIs.

In steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs), various spatial filtering methods based on individual calibration data have been proposed to alleviate the interference of spontaneous activities in SSVEP signals for enhancing the SSVEP detection performance. However, the time-consuming calibration session would increase the visual fatigue of subjects and reduce the usability of the BCI system. The key idea of this study is to propose a cross-subject transfer method based on domain generalization, which transfers the domain-invariant spatial filters and templates learned from source subjects to the target subject with no access to the EEG data from the target subject.

The current status and trend of the functional magnetic resonance combined with stimulation in animals.

As a non-radiative, non-invasive imaging technique, functional magnetic resonance imaging (fMRI) has excellent effects on studying the activation of blood oxygen levels and functional connectivity of the brain in human and animal models. Compared with resting-state fMRI, fMRI combined with stimulation could be used to assess the activation of specific brain regions and the connectivity of specific pathways and achieve better signal capture with a clear purpose and more significant results. Various fMRI methods and specific stimulation paradigms have been proposed to investigate brain activation in a specific state, such as electrical, mechanical, visual, olfactory, and direct brain stimulation.

Auricular acupuncture for shoulder pain: A protocol for systematic review and meta-analysis.

Background: Shoulder pain is a common problem in outpatient medical practice. Recent studies show that acupuncture has therapeutic effect on releasing symptoms of shoulder pain. The aim of this systematic review and meta-analysis is to access the efficacy and safety of auricular acupuncture for shoulder pain.

Effects of the antibiotic component on in-vitro bacterial killing, physico-chemical properties, aerosolization and dissolution of a ternary-combinational inhalation powder formulation of antibiotics for pan-drug resistant Gram-negative lung infections.

Combinational antibiotic formulations have emerged as an important strategy to combat antibiotic resistance. The main objective of this study was to examine effects of individual components on the antimicrobial activity, physico-chemical properties, aerosolization and dissolution of powder aerosol formulations when three synergistic drugs were co-spray dried. A ternary dry powder formulation consisting of meropenem (75.