Rotenone-driven DNA hypermethylation of the miR-6991-3p promoter induces death of mouse brain organoids.

Rotenone has potential chemical toxicity in the nervous system of both insects and mammals, but its deep molecular biological mechanisms have not been clarified. Here, the epigenetic regulatory mechanism underlying the toxicity of rotenone was studied using murine brain organoids (mBOs). Transmission electron microscopy indicated that rotenone destroyed mBOs'mitochondrial structure.

Allograft valves harvesting and preservation technique for enhanced performance.

Allograft valves offer significant advantages in valve replacement; however, their limited availability from cadaveric or brain-dead donors presents a considerable challenge. This study aims to share our experience in harvesting and preserving Allograft valves from heart transplant recipients, addressing this shortage and streamlining the process. Allograft valves were harvested from patients who underwent heart transplants at our center from October 2007 to October 2022.

Impact of family socio-economic status on the prognosis of heart transplantation in children.

Background: Low family socio-economic status is a known factor that can contribute to increased mortality for patients with cardiovascular disease. However, in developing countries, the prognostic impact of socio-economic level on pediatric HTx is unclear.

Methods: We conducted a retrospective cohort analysis of children younger than 18 years who underwent heart transplantation (HTx) at our center from October 1, 2005, to May 31, 2023.

An Injectable Multifunctional Nanosweeper Eliminates Cardiac Mitochondrial DNA to Reduce Inflammation.

Myocarditis, a leading cause of sudden cardiac death and heart transplantation, poses significant treatment challenges. The study of clinical samples from myocarditis patients reveals a correlation between the pathogenesis of myocarditis and cardiomyocyte mitochondrial DNA (mtDNA). During inflammation, the concentration of mtDNA in cardiomyocytes increases.

A two-dimensional four-quadrant assessment method to explore the spatiotemporal coupling and coordination relationship of human activities and ecological environment.

Human activities that involve diverse behaviors and feature a variety of participations and collaborations usually lead to varying and dynamic impacts on the ecological environment. Quantitative analysis of the dynamic changes and complex relationships between human activities and the ecological environment (eco-environment) can provide crucial insights for ecological protecting and balance maintaining. We proposed a two-dimensional four-quadrant assessment method based on the dynamic changes in Human Activity Index (HAI) - Environmental Ecological Condition Index (EECI) to analyze the dynamic trends and coupling coordination degree (CCD) between HAI and EECI.

Small-size temperature/high-pressure integrated sensor via flip-chip method.

Hydraulic technology with smaller sizes and higher reliability trends, including fault prediction and intelligent control, requires high-performance temperature and pressure-integrated sensors. Current designs rely on planar wafer- or chip-level integration, which is limited by pressure range, chip size, and low reliability. We propose a small-size temperature/high-pressure integrated sensor via the flip-chip technique.

Prediction and Interpretation Microglia Cytotoxicity by Machine Learning.

Ameliorating microglia-mediated neuroinflammation is a crucial strategy in developing new drugs for neurodegenerative diseases. Plant compounds are an important screening target for the discovery of drugs for the treatment of neurodegenerative diseases. However, due to the spatial complexity of phytochemicals, it becomes particularly important to evaluate the effectiveness of compounds while avoiding the mixing of cytotoxic substances in the early stages of compound screening.

The Selective SIRT3 Inhibitor 3-TYP Represses Primary Myeloma Growth by Reducing c-Myc Stability.

Multiple myeloma is a hematological cancer that can be treated but remains incurable. With the advancement of science and technology, more drugs have been developed for myeloma chemotherapy that greatly improve the quality of life of patients. However, relapse remains a serious problem puzzling patients and doctors.

DNMT1 driven by mouse amniotic fluid mesenchymal stem cell exosomes improved corneal cryoinjury via inducing microRNA-33 promoter DNA hypermethylation modification in corneal epithelium cells.

Severe corneal cryoinjury can cause permanent corneal swelling and bullous keratopathy, one of the main reason for loss of sight. Mouse amniotic fluid mesenchymal stem cells (mAF-MSCs) can repair corneal damage caused by freezing; however, whether the exosomes derived from mAF-MSCs have the same repair effect is unknown. In this study, the mAF-MSC-exosomes were transplanted into the eyeballs of corneal cryoinjured mice.

Bio-Inspired Conductive Hydrogels with High Toughness and Ultra-Stability as Wearable Human-Machine Interfaces for all Climates.

Drawing inspiration from Salicornia, a plant with the remarkable ability to thrive in harsh environments, a conductive hydrogel with high toughness and ultra-stability is reported. Specifically, the strategy of pre-cross-linking followed by secondary soaking in saturated salt solutions is introduced to prepare the PAAM-alginate conductive hydrogel with dual cross-linked dual network structure. It allows the alginate network to achieve complete cross-linking, fully leveraging the structural advantages of the PAAM-alginate conductive hydrogel.

β-Glucan alleviates goal-directed behavioral deficits in mice infected with Toxoplasma gondii.

Background: Toxoplasma gondii (T. gondii) is a neuroinvasive parasite causing neuroinflammation, which in turn is associated with a higher risk for several psycho-behavioral disorders. There is an urgent need to identify drugs capable of improving cognitive deficits induced by T.

DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network.

Graph embedding, aiming to learn low-dimensional representations (aka. embeddings) of nodes in graphs, has received significant attention. In recent years, there has been a surge of efforts, among which graph convolutional networks (GCNs) have emerged as an effective class of models.

Wearable Sensors Adapted to Extreme Environments Based on the Robust Ionogel Electrolytes with Dual Hydrogen Networks.

Nonvolatile ionogels are promising soft electrolyte materials for flexible electronics, but it is challenging to fabricate stable electrolytes with mechanical robustness. Here, through rationally optimizing the chemical structure of polymer matrix and ionic liquids, the high-performance ionogel electrolytes with mechanical robustness and stability were fabricated. There are double hydrogen bonding networks in the as-prepared ionogel electrolytes, one of which exists between the polymer chains while the other one existing between the polymer chains and ionic liquid molecules.

Zwitterionic Hydrogel Electrolyte with Tunable Mechanical and Electrochemical Properties for a Wearable Motion and Thermal Sensor.

A high-performance zwitterionic hydrogel electrolyte was successfully fabricated, in which the polymer chains were cross-linked by multiple reversible non-covalent bonds. The mechanical and electrochemical properties of the synthesized zwitterionic hydrogel electrolyte can be facilely modulated by immersing the as-prepared zwitterionic hydrogel in saline solutions with different concentrations. The processed zwitterionic hydrogel electrolyte exhibits tunable mechanical and electrochemical properties (favorable elasticity of 3.