Development of a Machine Learning-Based Nutrition-Related Surgical Risk Assessment Model for Older Patients with Gastrointestinal Malignancies.

Older patients with gastrointestinal cancer are at a high risk of postoperative complications; however, no accurate preoperative assessment is available. This study developed a prognostic model that leveraged machine learning and multidimensional clinical data to predict postoperative complications in older patients. This study assessed 365 older patients with gastrointestinal cancer who underwent radical surgery at Beijing Hospital.

Development of a Cytogenetic Double-Hit Model for Survival Prediction in Multiple Myeloma.

High-risk chromosomal abnormalities (HRCAs) detected by fluorescence in situ hybridization (FISH) have a well-established adverse prognostic impact in multiple myeloma (MM). It is increasingly recognized that the coexistence of two or more HRCAs identifies a particularly poor-risk subgroup, often referred to as double- or multiple-hit MM. However, there is currently no consensus on its definition.

Clinicopathological Features and Pathogenesis of Thymoma Complicated with Alopecia Areata: A Multicenter, Matched Case Analysis.

Background: Thymoma is a malignant tumor originating from the thymic epithelium and can be associated with over 100 paraneoplastic syndromes (PNSs). Due to the low incidence of thymoma and the relative rarity of alopecia areata (AA) as an associated autoimmune disease, patients with thymoma combined with AA are relatively uncommon in clinical practice. As a result, the clinicopathological features and pathogenesis of such patients have been rarely investigated.

Designing Protein-Based Nanoparticles for Therapeutic Applications.

Protein-based nanoparticles (PNPs) represent a versatile and promising class of nanocarriers for biomedical applications, offering inherent biocompatibility, biodegradability, and functional adaptability. By leveraging the diverse structural and chemical characteristics of natural and engineered proteins, certain PNP systems have demonstrated the potential to achieve precise control over drug loading, release kinetics, and targeting under specific design strategies, making them attractive platforms for therapeutic and diagnostic delivery. In this review, we aim to provide a comprehensive understanding of the design of protein-based nanoparticles and their clinical translation by conducting an in-depth analysis of recent studies on protein nanoparticles, in conjunction with protein-related formulations approved by the FDA in the past five years.

Bioinformatics and Experimental Validation of Diagnostic Marker Genes for Myocardial Infarction and Analysis of Their Immune Cell Infiltration.

This study aimed to identify diagnostic marker genes for myocardial infarction (MI) and analyzed the key genes pertaining to immune cell infiltration. The MI expression microarrays GSE48060 and GSE66360 were retrieved and downloaded from the GEO database. The merged expression data were subjected to Weighted Gene Co-expression Network Analysis (WGCNA).

LIPA, a risk locus for coronary artery disease: decoding the variant-to-function relationship.

Background And Aims: Translating human genomic discoveries into mechanistic insights requires linking genetic variations to candidate genes and their causal functional phenotypes. Genome-wide association studies have consistently identified LIPA (lipase A, lysosomal acid type) as a risk locus for coronary artery disease, with previous analyses prioritising LIPA as a likely causal gene. However, functional studies elucidating causal variants, regulatory mechanisms, target cell types, and their causal impact on atherosclerosis have been lacking.

Digital outdoor exercise program for obese patients with type 2 diabetes mellitus: a non-inferiority randomized controlled trial.

Background: Obesity and physical inactivity exacerbate type 2 diabetes mellitus (T2DM), whereas regular exercise improves glycemic control, fitness, and quality of life. However, many patients face barriers to attending clinic-based exercise programs. Digital health interventions could increase access and adherence by enabling guided outdoor exercise via smartphone.

Succinate accumulation induces pyroptosis and mitochondrial damage via the inhibition of ATP5F1D in HUVECs.

Atherosclerosis, a chronic inflammatory disorder, is pathophysiologically linked to endothelial cell (EC) pyroptosis. This study aims to elucidate the mechanisms by which succinate exacerbates EC pyroptosis through mitochondrial damage. Serum samples are collected from patients with coronary heart disease (CHD) and healthy controls (HCs), and the levels of succinate, interleukin (IL)-6, and IL-18 are quantified.

Emergence of carbapenem-resistant Mbandaka through IS-driven mobilization and chromosomal structural variation.

subsp. serovar Mbandaka (. Mbandaka) represents an emerging public health threat due to its remarkable genomic adaptability, involvement in multinational foodborne outbreaks, and the ability to establish persistent infections.

Bridge Damage Identification Using Time-Varying Filtering-Based Empirical Mode Decomposition and Pre-Trained Convolutional Neural Networks.

Structural damage identification provides a theoretical foundation for the operational safety and preventive maintenance of in-service bridges. However, practical bridge health monitoring faces challenges in poor signal quality, difficulties in feature extraction, and insufficient damage classification accuracy. This study presents a bridge damage identification framework integrating time-varying filtering-based empirical mode decomposition (TVFEMD) with pre-trained convolutional neural networks (CNNs).

JNK in inflammation and lipid metabolism regulation in atherosclerosis.

Atherosclerosis is a systemic arterial disease characterized by lipid deposition, chronic inflammation, and endothelial dysfunction and is driven by complex, multifactorial regulation. c-Jun N-terminal kinase (JNK), a key member of the stress-activated mitogen-activated protein kinase family, plays a central role in pathogenesis. JNK regulates oxidative stress, lipid metabolism, and inflammation by mediating interactions between cells and organs.

Predicting antidepressant response via local-global graph neural network and neuroimaging biomarkers.

Depressed mood and anhedonia, the core symptoms of major depressive disorder (MDD), are linked to dysfunction in the brain's reward and emotion regulation circuits. To develop a predictive model for treatment remission in MDD based on pre-treatment neurocircuitry and clinical features. A total of 279 untreated MDD patients were analyzed, treated with selective serotonin reuptake inhibitors for 8-12 weeks, and assigned to training, internal validation, and external validation datasets.

TDP-43 mediated oxidative stress induced mitochondrial dysfunction in neurons and hyperalgesia in sciatic nerve injured mice.

Neuropathic pain (NP) is a chronic pain with a highly complex pathogenesis, in which oxidative stress and mitochondrial dysfunction play significant roles in its progression, but its underlying mechanism is still unclear. TAR DNA-binding protein 43 (TDP-43) is one of the DNA-binding protein contributing to the homeostasis of mitochondria. This study is to explore the role of TDP-43 in mitochondrial dysfunction and pain formation in a mouse model.

Roadway roof stability grading method based on multi-index optimization.

Currently, most of the roadways adopt one support design strategy, which leads to high stress and insufficient support parameters in some crushed areas of the roadways and excess support parameters in some stable regions. There is an urgent need for a reliable method of grading the roadway perimeter rock to realize a reasonable support design for the whole area and cycle of the roadways. Taking Xiaobaodang No.

Network analysis of depressive symptoms, cognitive functioning, and life satisfaction among healthcare workers.

Background: Depression and cognitive impairment among healthcare workers significantly affect their life satisfaction (LS). This study used network analysis to explore the associations between depression, cognitive symptoms, and LS in healthcare workers.

Methods: A total of 655 healthcare workers were assessed using the Patient Health Questionnaire (PHQ-9), the Perceived Deficits Questionnaire-Depression (PDQ-D), and the Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF).

Accuracy and reliability of non-invasive pressure-strain loop for myocardial work assessment in functional single ventricle patients.

Background: In biventricular circulation, myocardial work indices derived from pressure-strain loops (PSL) show potential for effectively evaluating ventricular function in both left and right ventricles. However, these novel myocardial work parameters have not been extensively investigated in patients with functional single ventricle (FSV).

Objectives: To assess the relationship between myocardial work indices and parameters from cardiac catheterization in FSV patients, and to compare differences between functional single ventricle subtypes.

Rational design of freeze-crosslinked polysaccharide sponges for efficient non-compressible hemostasis and liver repair.

Non-compressible hemorrhage is a life-threatening challenge, and shape-memory hemostatic sponges that require no removal are ideal for inaccessible hemorrhage wounds. In this study, we freeze-crosslinked two polysaccharides by tuning their ratios to fully utilize their inherent physiochemical properties. The obtained shape memory sponges exhibit tunable mechanical properties, high absorbent capacities, and compression resilience.

Surgical Expert Consensus on Clinical Management of Advanced Thymoma and Thymic Carcinoma: A Beijing-Tianjin-Hebei Collaborative Initiative.

Thymomas and thymic carcinomas represent rare epithelial-derived thoracic neoplasms that, despite their low incidence, pose significant clinical challenges and impact patient survival. Through collaborative efforts among experts across the Beijing-Tianjin-Hebei region, this consensus seeks to provide guidance for the challenging management of advanced-stage thymic epithelial tumors (Stages IIb-IV). Advanced thymic tumors frequently present with local invasion or distant metastases, necessitating multimodal therapeutic approaches incorporating surgery, radiotherapy, chemotherapy, and emerging immunotherapies.

The effects of limb suction during arterial occlusion on arterial baroreflex in humans.

Peripheral venous distension evokes a reflex sympathetic activation [venous distension reflex (VDR)]. Previous study showed that venous distension in a forearm with a volume infusion raised sympathetic baroreflex sensitivity (SBRS). However, the effects of venous distension on baroreflex sensitivity (BRS) in the lower limb have not been examined.

Study on the disaster mechanism and prevention technology of embankment slip-collapse after extreme rainfall in the loess area.

This study investigates railway embankment slip-collapse disasters triggered by July 2021 extreme rainfall in Zhengzhou, China, through field investigations, in-situ tests, laboratory tests, field monitoring, and numerical simulations. The research results indicate that: (1) Zhengzhou loess experiences accelerated strength degradation when moisture content exceeds plastic limit, with shear modulus, cohesion, and internal friction angle decreasing rapidly beyond this threshold. (2) Embankment slip-collapse, a geohazard characterized by shallow failures in slope surfaces, is primarily triggered by hydro-mechanical coupling under extreme rainfall, with deformation severity controlled by infiltration intensity.

Enhanced security for IoT cloud environments using EfficientNet and enhanced football team training algorithm.

The growing implementation of Internet of Things (IoT) technology has resulted in a significant increase in the number of connected devices, thereby exposing IoT-cloud environments to a range of cyber threats. As the number of IoT devices continues to grow, the potential attack surface also enlarges, complicating the task of securing these systems. This paper introduces an innovative approach to intrusion detection that integrates EfficientNet with a newly refined metaheuristic known as the Enhanced Football Team Training Algorithm (EFTTA).

Immune stress impairs broiler performance by affecting hypothalamic methylation modification and intestinal 5-HT synthesis.

In this experiment, a chronic immune stress model was established in broiler chickens by injecting lipopolysaccharide (LPS). The objective was to investigate the impact of immune stress on performance and intestinal mucosal barrier function in broiler chickens and identify key molecular and neuroendocrine pathways contributing to these effects. We randomly divided 160 one-day-old male white-feathered broilers into two groups: the control group (CON) and the LPS immune stress group (LPS), with 8 replicates of 10 chickens each.

Development and Validation of Machine Learning Models for Predicting 7-Day Mortality in Critically Ill Patients with Traumatic Spinal Cord Injury: A Multicenter Retrospective Study.

Background: Traumatic spinal cord injury (TSCI), a severe central nervous system injury, despite treatment advances, critically ill patients with TSCI face high short-term mortality. This study leverages machine learning to integrate standard intensive care unit (ICU) indicators, identifying 7-day high-mortality risk patients with TSCI to optimize treatment.

Methods: Using critically ill patients with TSCI data from the Medical Information Mart for Intensive Care 2.