Development of a Self-Deploying Extra-Aortic Compression Device for Medium-Term Hemodynamic Stabilization: A Feasibility Study.

Hemodynamic stabilization is crucial in managing acute cardiac events, where compromised blood flow can lead to severe complications and increased mortality. Conditions like decompensated heart failure (HF) and cardiogenic shock require rapid and effective hemodynamic support. Current mechanical assistive devices, such as intra-aortic balloon pumps (IABP) and extracorporeal membrane oxygenation (ECMO), offer temporary stabilization but are limited to short-term use due to risks associated with prolonged blood contact.

CRH-YOLO for precise and efficient detection of gastrointestinal polyps.

Gastrointestinal polyps are early indicators of many significant diseases within the digestive system, and timely detection of these polyps is crucial for preventing them. Although clinical gastrointestinal endoscopy and interventions help reduce the risk of malignancy, most current methods fail to adequately address the uncertainties and scale issues associated with the presence of polyps, posing a threat to patients' health. Therefore, this paper proposes a novel single-stage method for polyp detection.

Role of glycogen in cardiac metabolic stress.

Metabolic stress in the myocardium arises from a diverse array of acute and chronic pathophysiological contexts. Glycogen mishandling is a key feature of metabolic stress, while maladaptation in energy-stress situations confers functional deficits. Cardiac glycogen serves as a pivotal reserve for myocardial energy, which is classically described as an energy source and contributes to glucose homeostasis during hypoxia or ischemia.

Nanoscale Multipatterning Zn,Co-ZIF@FeOOH for Eradication of Multidrug-Resistant Bacteria and Antibacterial Treatment of Wounds.

The rising incidence of infections caused by multidrug-resistant bacteria highlights the urgent need for innovative bacterial eradication strategies. Metal ions, such as Zn and Co, have bactericidal effects by disrupting bacterial cell membranes and interfering with essential cellular processes. This has led to increased attention toward metal-organic frameworks (MOFs) as potential nonantibiotic bactericidal agents.

MCH-PAN: gastrointestinal polyp detection model integrating multi-scale feature information.

The rise of object detection models has brought new breakthroughs to the development of clinical decision support systems. However, in the field of gastrointestinal polyp detection, there are still challenges such as uncertainty in polyp identification and inadequate coping with polyp scale variations. To address these challenges, this paper proposes a novel gastrointestinal polyp object detection model.

Proteomic and metabolomic analysis of plasma for pain at different labor stages.

Labor pain has an important impact on maternal labor experience, mood, and postpartum depression. It is of great emotional significance to pay attention to the pain stress response of pregnant women and take necessary intervention measures in the labor process to weaken the sense of delivery experience and reduce the risk of complications. To better understand the molecular alteration of pain and stress changes during the delivery, we analyzed the metabolomic and proteomic of the plasma collected during the labor process at different stages, revealing the significant changes in metabolites and proteins and the key regulatory pathways.

Orosomucoid 2 is an endogenous regulator of neuronal mitochondrial biogenesis and promotes functional recovery post-stroke.

Development of functional recovery therapies is critical to reduce the global impact of stroke as the leading cause of long-term disability. Our previous studies found that acute-phase protein orosomucoid (ORM) could provide an up to 6 h therapeutic time window to reduce infarct volume in acute ischemic stroke by improving endothelial function. However, its role in neurons and functional recovery post-stroke remains largely unknown.

A semantic feature enhanced YOLOv5-based network for polyp detection from colonoscopy images.

Colorectal cancer (CRC) is a common digestive system tumor with high morbidity and mortality worldwide. At present, the use of computer-assisted colonoscopy technology to detect polyps is relatively mature, but it still faces some challenges, such as missed or false detection of polyps. Therefore, how to improve the detection rate of polyps more accurately is the key to colonoscopy.

Analysis of the correlation between the Systemic Inflammatory Response Index and the severity of coronary vasculopathy.

This study aims to analyze the correlation between Systemic Inflammatory Response Index (SIRI) and the severity of coronary artery stenosis in patients with coronary heart disease (CHD). It also aims to assess the predictive value of SIRI for the severity of coronary artery stenosis. A total of 2990 patients who underwent coronary angiography were included in this study.

Diagnosis of epilepsy by machine learning of high-performance plasma metabolic fingerprinting.

Epilepsy is a chronic neurological disorder that causes a major threat to public health and the burden of disease worldwide. High-performance diagnostic tools for epilepsy need to be developed to improve diagnostic accuracy and efficiency while still missing. Herein, we utilized nanoparticle-enhanced laser desorption/ionization mass spectrometry (NELDI MS) to acquire plasma metabolic fingerprints (PMFs) from epileptic and healthy individuals for timely and accurate screening of epilepsy.

A non-antibiotic erythromycin derivative improves muscle endurance by regulating endogenous anti-fatigue protein orosomucoid in mice.

At present, there are no official approved drugs for improving muscle endurance. Our previous research found acute phase protein orosomucoid (ORM) is an endogenous anti-fatigue protein, and macrolides antibiotics erythromycin can elevate ORM level to increase muscle bioenergetics and endurance parameters. Here, we further designed, synthesized and screened a new erythromycin derivative named HMS-01, which lost its antibacterial activity in vitro and in vivo.

Application of trauma-focused cognitive behavioral therapy among children and adolescents with childhood household dysfunction.

Childhood household dysfunction (CHD) is a common adverse childhood experience, which brings the heavy physical and mental afflictions to children and adolescents. Trauma-focused cognitive behavioral therapy (TF-CBT) is an evidence-based psychotherapy that helps children and adolescents who have experienced childhood trauma with traumatic memories. It aims to enhance the coping abilities of CHD children and adolescents, thereby improving the negative effects caused by trauma and effectively reducing psychological burden.

Colorectal image analysis for polyp diagnosis.

Colorectal polyp is an important early manifestation of colorectal cancer, which is significant for the prevention of colorectal cancer. Despite timely detection and manual intervention of colorectal polyps can reduce their chances of becoming cancerous, most existing methods ignore the uncertainties and location problems of polyps, causing a degradation in detection performance. To address these problems, in this paper, we propose a novel colorectal image analysis method for polyp diagnosis via PAM-Net.

Deciphering the metabolic heterogeneity of hematopoietic stem cells with single-cell resolution.

Metabolic status is crucial for stem cell functions; however, the metabolic heterogeneity of endogenous stem cells has never been directly assessed. Here, we develop a platform for high-throughput single-cell metabolomics (hi-scMet) of hematopoietic stem cells (HSCs). By combining flow cytometric isolation and nanoparticle-enhanced laser desorption/ionization mass spectrometry, we routinely detected >100 features from single cells.

Designing Peptide-Based Nanoinhibitors of Programmed Cell Death Ligand 1 (PD-L1) for Enhanced Chemo-immunotherapy.

The combination of immune checkpoint blockade (ICB) and chemotherapy has shown significant potential in the clinical treatment of various cancers. However, circulating regeneration of PD-L1 within tumor cells greatly limits the efficiency of chemo-immunotherapy and consequent patient response rates. Herein, we report the synthesis of a nanoparticle-based PD-L1 inhibitor (FRS) with a rational design for effective endogenous PD-L1 suppression.

Frailty and medication adherence among older adult patients with hypertension: a moderated mediation model.

Objective: Medication adherence has a critical impact on the well-being of older adult patients with hypertension. As such, the current study aimed to investigate the mediating role of health literacy between frailty and medication adherence and the moderating role of educational level.

Methods: This cross-sectional study included patients admitted to the geriatric unit of a hospital.

Serum Metabolic Fingerprints Characterize Systemic Lupus Erythematosus.

Metabolic fingerprints in serum characterize diverse diseases for diagnostics and biomarker discovery. The identification of systemic lupus erythematosus (SLE) by serum metabolic fingerprints (SMFs) will facilitate precision medicine in SLE in an early and designed manner. Here, a discovery cohort of 731 individuals including 357 SLE patients and 374 healthy controls (HCs), and a validation cohort of 184 individuals (SLE/HC, 91/93) are constructed.

Self-assembly of alkylated lysine-dendron oxytocin amphiphiles for enhanced stability and sustained pharmacological activity.

Herein, we designed alkylated lysine-dendron oxytocin amphiphiles (ALOAs) 1G-OTK and 2G-OTK, which were self-assembled into spherical nanoparticles and nanostrips, respectively, and showed superior stability compared to native oxytocin. We found similar trends in the functional activity of ALOAs and native OT for human oxytocin receptor. This work may inspire the development of peptide drugs for clinical applications.

Designed Nanomaterials-Assisted Proteomics and Metabolomics Analysis for In Vitro Diagnosis.

In vitro diagnosis (IVD) is pivotal in modern medicine, enabling early disease detection and treatment optimization. Omics technologies, particularly proteomics and metabolomics, offer profound insights into IVD. Despite its significance, omics analyses for IVD face challenges, including low analyte concentrations and the complexity of biological environments.

Astragaloside IV derivative HHQ16 ameliorates infarction-induced hypertrophy and heart failure through degradation of lncRNA4012/9456.

Reversing ventricular remodeling represents a promising treatment for the post-myocardial infarction (MI) heart failure (HF). Here, we report a novel small molecule HHQ16, an optimized derivative of astragaloside IV, which effectively reversed infarction-induced myocardial remodeling and improved cardiac function by directly acting on the cardiomyocyte to reverse hypertrophy. The effect of HHQ16 was associated with a strong inhibition of a newly discovered Egr2-affiliated transcript lnc9456 in the heart.

Case Report: A variant resulting in autoinflammatory disease in a Chinese newborn.

Background: Cryopyrin-associated periodic syndromes (CAPS) have been considered autoinflammatory diseases resulting from gene mutations. In recent years, these conditions have been redefined as -associated autoinflammatory diseases (-AID). Our previous study highlighted a case of a Chinese individual carrying the mutation.

The impact of risk perception and preference on farmland transfer-out: Evidence from a survey of farm households in China.

This study examines the impact of farmers' risk perceptions on their decision to transfer-out farmland, as well as the variations in this influence based on different risk preferences. The research utilizes survey data from 1389 farmers in rural China. By expanding the decision-making model for farmer households within the context of risk perception, this paper analyzes the equilibrium point of farmers' decision-making using mathematical models.

Fully 3D-printed tortoise-like soft mobile robot with muti-scenario adaptability.

Soft robotic systems are well suited to unstructured, dynamic tasks and environments, owing to their ability to adapt and conform without damaging themselves or their surroundings. These abilities are crucial in areas such as human-robot interaction, simplification of control system and weight reduction. At present, the existing soft mobile robots still have the disadvantages of single motion mode and application scenario, difficult manufacturing and low energy conversion efficiency.