Migrasomes trigger innate immune activation and mediate transmission of senescence signals across human cells.

Aging is a complex and heterogeneous process, raising important questions about how aging is differently impacted by underlying genetics and external factors. Recently, migrasomes, newly discovered organelles, have been identified to play important roles in various physiological and pathological processes by facilitating cell-to-cell communication. Thus far, their involvement in cellular senescence and aging remains largely unexplored.

A comprehensive Bayesian analysis assessing the effectiveness of lymphocyte immunotherapy for recurrent spontaneous abortion.

Recurrent spontaneous abortion (RSA) affects 2%-5% of couples worldwide and remains a subject of debate regarding the effectiveness of lymphocyte immunotherapy (LIT) due to limited retrospective studies. We conducted a comprehensive Bayesian analysis to assess the impact of LIT on RSA. Using data from the Shenzhen Maternity and Child Healthcare Hospital (2001-2020,  = 2316), a Bayesian generalized linear model with predictive projection feature selection was employed.

A framework of biomarkers for skeletal aging: a consensus statement by the Aging Biomarker Consortium.

The skeleton is an important structural and metabolic organ in human body, while aging is the physiological basis for degenerative skeletal diseases. China has the largest aging population in the world and faces great challenges in preventing and managing diseases related to skeletal aging. To address these challenges, the Aging China Biomarkers Consortium (ABC) has reached an expert consensus on biomarkers of skeletal aging by synthesizing the literature and insights from scientists and clinicians.

Opioid growth factor receptor promotes adipose tissue thermogenesis via enhancing lipid oxidation.

The thermogenic brown and beige adipocytes consume fatty acids and generate heat to maintain core body temperature in the face of cold challenges. Since their validated presence in humans, the activation of thermogenic fat has been an attractive target for treating obesity and related metabolic diseases. Here, we reported that the opioid growth factor receptor () was highly expressed in adipocytes and promoted thermogenesis.

Single-cell atlas of multilineage cardiac organoids derived from human induced pluripotent stem cells.

Human induced pluripotent stem cell (hiPSC)-derived cardiac organoids can be used to model human heart development and cardiovascular disease, and provide therapeutic cells to repair the heart. We used single-cell transcriptome analysis to dissect the development of 3D mini-cardiac organoids (MCOs) consisting of hiPSC-derived cardiomyocytes, and endothelial and smooth muscle cells. We found that the 3D matrix-rich microenvironment significantly promoted the maturation of cardiomyocytes, and mixing endothelial and smooth muscle cells with cardiomyocytes led to the formation of cardiac fibroblast highly expressing .

Oral microbiota in aging and diseases.

Human microbiomes are microbial populations that form a symbiotic relationship with humans. There are up to 1000 species on the surface of human skin and mucosal system, among which gut microbiota attracts the most interest. As the beginning of the digestive tract, oral cavity is also an important microbial habitat in the human body which is the first line of defense against pathogens entering the body.

Keep bright in the dark: Multimodal emotional effects on donation-based crowdfunding performance and their empathic mechanisms.

How to raise donations effectively, especially in the E-era, has puzzled fundraisers and scientists across various disciplines. Our research focuses on donation-based crowdfunding projects and investigates how the emotional valence expressed verbally (in textual descriptions) and visually (in facial images) in project descriptions affects project performance. Study 1 uses field data (N = 3817), grabs project information and descriptions from a top donation-based crowdfunding platform, computes visual and verbal emotional valence using a deep-learning-based affective computing method and analyses how multimodal emotional valence influences donation outcomes.

Biopolymer-Derived Carbon Materials for Wearable Electronics.

Advanced carbon materials are widely utilized in wearable electronics. Nevertheless, the production of carbon materials from fossil-based sources raised concerns regarding their non-renewability, high energy consumption, and the consequent greenhouse gas emissions. Biopolymers, readily available in nature, offer a promising and eco-friendly alternative as a carbon source, enabling the sustainable production of carbon materials for wearable electronics.

Fabrication of AFM-Compatible Hydrogel Probe to Achieve Hydration Superlubrication in Salt Solutions.

Hydrogels demonstrate effective lubricating properties, but the underlying mechanisms at the nanoscale remain elucidated. In this study, a novel strategy is proposed by fabricating the hydrogel probes compatible with atomic force microscopy (AFM) to establish a superlubrication system based on the hydration interactions. The probe is made of polyethylene glycol diacrylate (PEGDA)-based hydrogel microspheres, which can achieve an extremely low friction coefficient of 0.

Anion-Modulated Solvation Sheath and Electric Double Layer Enabling Lithium-Ion Storage From -60 to 80 °C.

Current lithium batteries experience significant performance degradation under extreme temperature conditions, both high and low. Traditional wide-temperature electrolyte designs typically addressed these challenges by manipulating the solvation sheath and selecting solvents with extreme melting/boiling points. However, these solvent-mediated solutions, while effective at one temperature extreme, invariably fail at the opposite end due to the inherent difficulties in maintaining solvent stability across wide temperatures.

Unraveling the Trade-Off Effect of Pyrogenic Carbons Between Biopseudocapacitors and Bioconductors During Anaerobic Methanogenesis.

Pyrogenic carbons (PCs), with varying structures depending on the materials and thermal treatment conditions, have been extensively used to enhance anaerobic digestion by mediating electron transfer. However, the underlying mechanism has yet to be explored. Herein, the redirection and enhancement of the direct interspecies electron transfer (DIET) pathway were evidenced, along with the upregulated electrochemical properties and structural proteins in the methanogenic consortia.

Optimization of x-ray dark-field CT for human-scale lung imaging.

Background: X-ray grating-based dark-field imaging can sense the small angle scattering caused by object's micro-structures. This technique is sensitive to the porous microstructure of lung alveoli and has the potential to detect lung diseases at an early stage. Up to now, a human-scale dark-field CT (DF-CT) prototype has been built for lung imaging.

Forest Soil pH and Dissolved Organic Matter Aromaticity Are Distinct Drivers for Soil Microbial Community and Carbon Metabolism Potential.

The ecological niche separation of microbial interactions in forest ecosystems is critical to maintaining ecological balance and biodiversity and has yet to be comprehensively explored in microbial ecology. This study investigated the impacts of soil properties on microbial interactions and carbon metabolism potential in forest soils across 67 sites in China. Using redundancy analysis and random forest models, we identified soil pH and dissolved organic matter (DOM) aromaticity as the primary drivers of microbial interactions, representing abiotic conditions and resource niches, respectively.

Plasma membrane-associated ARAF condensates fuel RAS-related cancer drug resistance.

RAF protein kinases are major RAS effectors that function by phosphorylating MEK. Although all three RAF isoforms share a conserved RAS binding domain and bind to GTP-loaded RAS, only ARAF uniquely enhances RAS activity. Here we uncovered the molecular basis of ARAF in regulating RAS activation.

Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles.

The takeover issue, especially the setting of the takeover time budget, is a critical factor restricting the implementation and development of conditionally automated vehicles. The general fixed takeover time budget has certain limitations, as it does not take into account the driver's non-driving behaviors. Here, we propose an intelligent takeover assistance system consisting of all-round sensing gloves, a non-driving behavior identification module, and a takeover time budget determination module.

Data-driven exploration of weak coordination microenvironment in solid-state electrolyte for safe and energy-dense batteries.

The unsatisfactory ionic conductivity of solid polymer electrolytes hinders their practical use as substitutes for liquid electrolytes to address safety concerns. Although various plasticizers have been introduced to improve lithium-ion conduction kinetics, the lack of microenvironment understanding impedes the rational design of high-performance polymer electrolytes. Here, we design a class of Hofmann complexes that offer continuous two-dimensional lithium-ion conduction channels with functional ligands, creating highly conductive electrolytes.

Recursive hierarchical parametric identification of Wiener-Hammerstein systems based on initial value optimization.

In this paper, a novel recursive hierarchical parametric identification method based on initial value optimization is proposed for Wiener-Hammerstein systems subject to stochastic measurement noise. By transforming the traditional Wiener-Hammerstein system model into a generalized form, the system model parameters are uniquely expressed for estimation. To avoid cross-coupling between estimating block-oriented model parameters, a hierarchical identification algorithm is presented by dividing the parameter vector into two subvectors containing the coupled and uncoupled terms for estimation, respectively.

Ultraprecision multi-axis CARIC control strategy with application to a nano-accuracy air-bearing motion stage.

Multi-axis contouring control is crucial for ultraprecision manufacturing industries, contributing to meeting the ever-increasingly stringent performance requirements. In this article, a novel contouring adaptive real-time iterative compensation (CARIC) method is proposed to achieve extreme multi-axis contouring accuracy, remarkable trajectory generalization, disturbance rejection, and parametric adaptation simultaneously. Specifically, control actions generated by CARIC consist of robust feedback, adaptive feedforward, and online trajectory compensation components.

CellREADR: An ADAR-based RNA sensor-actuator device.

RNAs are central mediators of genetic information flow and gene regulation that underlie diverse cell types and cell states across species. Thus, methods that can sense and respond to RNA profiles in living cells will have broad applications in biology and medicine. CellREADR - Cell access through RNA sensing by Endogenous ADAR (adenosine deaminase acting on RNA), is a programmable RNA sensor-actuator technology that couples the detection of a cell-defining RNA to the translation of an effector protein to monitor and manipulate the cell.

Original article: Efficacy and safety of single-dose suraxavir marboxil tablet in the treatment of acute uncomplicated influenza in adults: a multi-center, randomized, double-blind, placebo-controlled phase 2 clinical trial.

Objectives: To evaluate the therapeutic effect of suraxavir marboxil (GP681, abbreviated as suraxavir) in adults with uncomplicated influenza.

Methods: We conducted a multi-center randomized, double-blind, placebo-controlled phase 2 trial in 18 Chinese centers. Participants had to be aged 18-65 years with positive influenza test, presenting with at least one influenza systemic and respiratory symptoms in at least moderate severity within 48 hours of onset.

Automated Diagnosis and Classification of Temporomandibular Joint Degenerative Joint Disease via Artificial Intelligence Using CBCT Imaging.

Objectives: In this study, artificial intelligence techniques were used to achieve automated diagnosis and classification of temporomandibular joint (TMJ) degenerative joint disease (DJD) on cone beam computed tomography (CBCT) images.

Methods: An AI model utilizing the YOLOv10 algorithm was trained, validated and tested on 7357 annotated and corrected oblique sagittal TMJ images (3010 images of normal condyles and 4347 images of condyles with DJD) from 1018 patients who visited Peking University School and Hospital of Stomatology for temporomandibular disorders and underwent TMJ CBCT examinations. This model could identify DJD as well as the radiographic signs of DJD, namely, erosion, osteophytes, sclerosis and subchondral cysts.