Electrophysiology-based screening identifies neuronal HtrA serine peptidase 2 (HTRA2) as a synaptic plasticity regulator participating in tauopathy.

Long-term potentiation (LTP) and long-term depression (LTD) are widely used to study synaptic plasticity. However, whether proteins regulating LTP and LTD are altered in cognitive disorders and contribute to disease onset remains to be determined. Herein, we induced LTP and LTD in the hippocampal CA3-CA1 Schaffer collateral pathway, respectively, and then performed proteomic analysis of the CA1 region.

Microglial CD2AP deficiency exerts protection in an Alzheimer's disease model of amyloidosis.

Background: The CD2-associated protein (CD2AP) was initially identified in peripheral immune cells and regulates cytoskeleton and protein trafficking. Single nucleotide polymorphisms (SNPs) in the CD2AP gene have been associated with Alzheimer's disease (AD). However, the functional role of CD2AP, especially its role in microglia during AD onset, remains elusive.

Multifunctional hydrogels loaded with tellurium nanozyme for spinal cord injury repair.

Spinal cord injury (SCI) results in severe neurological deficits due to disrupted neural pathways. While the spinal cord possesses limited self-repair capabilities, recent advancements in hydrogel-based therapies have shown promise. Polyphenol-based hydrogels, known for their neuroprotective properties, offer a suitable microenvironment for neural regeneration.

Effect of sodium hypochlorite and EDTA pretreatment on the resin infiltration efficacy and acid resistance of enamel white spot lesions: an in vitro study.

Background: This in vitro study aimed to evaluate the effect of sodium hypochlorite (NaOCl) and ethylene diamine tetraacetic acid (EDTA) as pretreatments on the resin infiltration efficacy and acid resistance of enamel white spot lesions (WSLs).

Methods: Enamel blocks prepared from the buccal surfaces of sound human premolars were placed in a demineralisation solution for 3 days to establish artificial enamel WSLs. All the blocks with WSLs were randomly divided into four groups (n = 40 per group): RI (Control): resin infiltration only.

Development and Validation of a Machine Learning-Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study.

Background: Given the complexity and diversity of lichenoid vulvar disease (LVD) risk factors, it is crucial to actively explore these factors and construct personalized warning models using relevant clinical variables to assess disease risk in patients. Yet, to date, there has been insufficient research, both nationwide and internationally, on risk factors and warning models for LVD. In light of these gaps, this study represents the first systematic exploration of the risk factors associated with LVD.

Ru single-atom nanozymes targeting ROS-ferroptosis pathways for enhanced endometrial regeneration in intrauterine adhesion therapy.

Intrauterine adhesion (IUA) presents a significant challenge in gynecology, characterized by excessive fibrosis and compromised reproductive function, leading to severe infertility. Although biocompatible hydrogels integrated with stem cells offer a promising approach for IUA therapy, clinical applications remain limited. Recent studies have highlighted the role of ferroptosis and reactive oxygen species (ROS) in IUA pathogenesis, yet strategies targeting ferroptosis through antioxidant stress are underexplored.

[Preparation and efficacy evaluation of carboxymethyl chitosan/β-dextran composite gel for dry socket in rats treatment].

Purpose: To investigate the therapeutic efficacy of a new composite gel of carboxymethyl chitosan/β-dextran in rat dry socket model.

Methods: Carboxymethyl chitosan/oat β-dextran composite gel was prepared, its viscosity, appearance and shape, and stability in oral wet environment were investigated. Staphylococcus aureus was selected for in vitro inhibition test.

Development of a Controllable Intelligent Drug Delivery System for Efficient Treatment of Rheumatoid Arthritis.

Rheumatoid arthritis (RA) is a complex inflammatory disease of the joints, which is often accompanied by degeneration of articular cartilage and bone erosion, seriously affecting the quality of life and psychological state of patients. RA is difficult to be cured completely, and currently the main purpose of relief is through the use of anti-inflammatory and antirheumatic drugs, hormones, and biological agents. Tofacitib is a new type of small molecule inhibitor, which has a good effect in the treatment of RA.

Deep-learning radiomics based on ultrasound can objectively evaluate thyroid nodules and assist in improving the diagnostic level of ultrasound physicians.

Background: The incidence rate of thyroid nodules has reached 65%, but only 5-15% of these modules are malignant. Therefore, accurately determining the benign and malignant nature of thyroid nodules can prevent unnecessary treatment. We aimed to develop a deep-learning (DL) radiomics model based on ultrasound (US), explore its diagnostic efficacy for benign and malignant thyroid nodules, and verify whether it improved the diagnostic level of physicians.

[Inhibitory effect and mechanism of sodium cantharidate on human tongue squamous cell carcinoma CAL27 cells].

Purpose: To investigate the inhibitory effect of sodium cantharidate (SCA) on human tongue squamous cell carcinoma CAL27 cells and its mechanism.

Methods: CAL27 cells were pretreated with different concentrations of SCA. Cell viability was analyzed by CCK-8 method.

The synergistic effect of Huangqi Gegen decoction on thrombosis relates to the astragalus polysaccharide-improved oral delivery of puerarin.

Ethno-pharmacological Relevance: Huangqi Gegen decoction (HGD), which comprises Astragali Radix (AR) and Puerariae Radix (PR), is widely used to treat thrombosis in China. However, the mechanism underlying its synergistic effect in thrombosis treatment remains unclear.

Aim Of The Study: Following PR administration, low plasma exposure was reported for its primary ingredients.

Ultrathin NiO nanosheets anchored to a nitrogen-doped dodecahedral carbon framework for aqueous potassium-ion hybrid capacitors.

Hierarchical porous structures and well-modulated interfacial interactions are essential for the performance of electrode materials. The energy storage performance can be promoted by regulating the diffusion behavior of the electrolyte and constructing a coupled interaction at heterogeneous interfaces. Herein, we have synthesized ultrathin NiO nanosheets anchored to nitrogen-doped hierarchical porous carbon (NiO/N-HPC) and applied it to construct aqueous potassium ion hybrid capacitors (APIHCs).

Relationship between non-alcoholic fatty liver and progressive fibrosis and serum 25-hydroxy vitamin D in patients with type 2 diabetes mellitus.

Objective: We aimed to analyze the relationship between non-alcoholic fatty liver and progressive fibrosis and serum 25-hydroxy vitamin D (25(OH)D) in patients with type 2 diabetes mellitus.

Methods: A total of 184 patients with T2DM who were hospitalized in the Department of Endocrinology of the ShiDong Clinical Hospital between January 2023 and June 2023 were selected. We compared review of anthropometric, biochemical, and inflammatory parameters and non-invasive scores between groups defined by ultrasound NAFLD severity grades.

Microglial Dysfunction in Autism Spectrum Disorder.

Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder with onset in childhood. The molecular mechanisms underlying ASD have not yet been elucidated completely. Evidence has emerged to support a link between microglial dysfunction and the etiology of ASD.

Effect of low-intensity focused ultrasound therapy on postpartum uterine involution in puerperal women: A randomized controlled trial.

Background: Short-term poor uterine involution manifests as uterine contraction weakness. This is one of the important causes of postpartum hemorrhage, posing a serious threat to the mother's life and safety. The study aims to investigate whether low-intensity focused ultrasound (LIFUS) can effectively shorten lochia duration, alleviate postpartum complications, and accelerate uterine involution compared with the sham treatment.

Clinical Outcomes of Surgical Revascularization Strategies Guided by Quantitative Flow Ratio in Primary Noncoronary Cardiac Surgery.

Purpose: Information regarding quantitative flow ratio (QFR) usage in coronary artery bypass grafting (CABG) is lacking. We compared the incidence of postoperative long-term adverse cardiovascular and cerebrovascular events after QFR-guided or coronary angiography-guided adult cardiac surgery with concurrent bypass surgery.

Materials And Methods: This study included 432 patients who underwent cardiopulmonary bypass (CPB) at our institution with at least 1 angiographical coronary artery lesion (diameter stenosis: 30% to 90%) between January 2015 and January 2016.

Biotransformation and disposition characteristics of HSK7653, a novel long-acting dipeptidyl peptidase-4 inhibitor for the treatment of type 2 diabetes.

Aim: To investigate the metabolism and disposition characteristics of HSK7653 in healthy male Chinese participants.

Methods: A single oral dose of 80 μCi (25 mg) [C]HSK7653 capsules was administered to six healthy participants, and blood, plasma, urine and faeces were collected. Quantitative and qualitative analysis was conducted to investigate the pharmacokinetics, blood-to-plasma ratio, mass balance and metabolism of HSK7653.

Energy-Efficient Neuromorphic Architectures for Nuclear Radiation Detection Applications.

A comprehensive analysis and simulation of two memristor-based neuromorphic architectures for nuclear radiation detection is presented. Both scalable architectures retrofit a locally competitive algorithm to solve overcomplete sparse approximation problems by harnessing memristor crossbar execution of vector-matrix multiplications. The proposed systems demonstrate excellent accuracy and throughput while consuming minimal energy for radionuclide detection.

XGrad: Boosting Gradient-Based Optimizers With Weight Prediction.

In this paper, we propose a general deep learning training framework XGrad which introduces weight prediction into the popular gradient-based optimizers to boost their convergence and generalization when training the deep neural network (DNN) models. In particular, ahead of each mini-batch training, the future weights are predicted according to the update rule of the used optimizer and are then applied to both the forward pass and backward propagation. In this way, during the whole training period, the optimizer always utilizes the gradients w.