The effect of Tai Chi on plasma homocysteine in 1176 adults: a propensity score matching-based study.

Background: Tai Chi is a low-impact form of exercise that involves a series of slow movements that flow together. Increased plasma homocysteine(Hcy) levels are associated with an increased risk of cardiovascular diseases and may be reduced by exercise. This study aimed to compare plasma Hcy levels and the risk of hyperhomocysteinemia in 1,176 adults with and without Tai Chi exercises.

Comprehensive analysis of vaginal microbiota in Chinese women with genital tuberculosis: implications for diagnosis and treatment.

Background: Tuberculosis remains an infectious disease of global concern, with potential impacts on respiratory and intestinal microbiota owing to prolonged broad-spectrum antibiotic therapy. Despite its potential to cause infertility, the vaginal microbiota of women with genital tuberculosis remains poorly understood. We comprehensively analyzed the vaginal microbiota in Chinese women with genital tuberculosis.

Comparative transcriptome analysis reveals the key role of photosynthetic traits in the formation of differences in photothermal sensitivity in tobacco.

Background: The photothermal sensitivity of tobacco refers to how tobacco plants respond to variations in the photothermal conditions of their growth environment. The degree of this sensitivity is crucial for determining the optimal planting regions for specific varieties, as well as for improving the quality and yield of tobacco leaves. However, the precise mechanisms underlying the development of photothermal sensitivity in tobacco remain unclear.

Low albumin-to-creatinine ratios (ACR) are associated with poor outcomes in cancer patients.

Background: The albumin-to-creatinine ratio (ACR) is known to predict prognosis in liposarcoma patients, but its role in other tumors remains unclear. This study aimed to evaluate the prognostic relationship between ACR and common solid tumors.

Methods: Data from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) between 2013 and 2022 were used to analyze patients under 65 years old with solid tumors.

Refining MR-guided thermal ablation for HCC within the Milan criteria: a decade of clinical outcomes and predictive modeling at a single institution.

Background: The appropriateness of ablation for liver cancer patients meeting the Milan criteria remains controversial.

Purpose: This study aims to evaluate the long-term outcomes of MR-guided thermal ablation for HCC patients meeting the Milan criteria and develop a nomogram for predicting survival rates.

Methods: A retrospective analysis was conducted from January 2009 to December 2021 at a single institution.

Application of copy number variation sequencing combined with whole exome sequencing in prenatal left-right asymmetry disorders.

Background: Left-right (LR) asymmetry disorders present a complex etiology, with genetic factors emerging as a primary contributor. This study aims to explore the genetic underpinnings of chromosomal variants and individual genes in fetuses afflicted with prenatal LR asymmetry disorder.

Methods: Through a retrospective analysis conducted between 2020 and 2023 at Tongji Hospital, Huazhong University of Science and Technology, genetic outcomes of LR asymmetric disorder were scrutinized utilizing copy number variation sequencing (CNV-seq) and whole exome sequencing (WES) methodologies.

Sodium glucose co-transporter 2 (SGLT2) inhibitors versus dipeptidyl peptidase-4 (DPP-4) inhibitors and the risk of Atrial Fibrillation in patients with type 2 diabetes mellitus: a meta-analysis.

Background: Several studies showed higher risks of cardiovascular complications to have been observed in patients with type 2 diabetes mellitus (T2DM). Atrial fibrillation (AF) and atrial flutter have been more pronounced in patients with hyperglycemia. Sodium-glucose co-transporter 2 (SGLT2) inhibitors are now considered as second-line treatment for patients with T2DM following inadequate glycemic control with first line agents.

The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach.

The current DSM-oriented diagnostic paradigm has introduced the issue of heterogeneity, as it fails to account for the identification of the neurological processes underlying mental illnesses, which affects the precision of treatment. The Research Domain Criteria (RDoC) framework serves as a recognized approach to addressing this heterogeneity, and several assessment and translation techniques have been proposed. Among these methods, transforming RDoC scores from electronic medical records (EMR) using Natural Language Processing (NLP) has emerged as a suitable technique, demonstrating clinical effectiveness.

Immune responses in children with secondary infection of mycoplasma pneumoniae after COVID-19: focus on eosinophils and IgE.

Background: The COVID-19 (SARS-CoV-2) epidemic has posed a major challenge to global public health, especially in children. Some children may experience secondary infection with Mycoplasma pneumoniae after SARS-CoV-2 infection, which has attracted widespread attention. Studies have shown that eosinophils play an important role in respiratory tract infections and are involved in regulating immune responses and inflammatory processes.

Establishing of a risk prediction model for metabolic dysfunction-associated steatotic liver disease: a retrospective cohort study.

Objectives: Over 30% of people worldwide suffer from metabolic dysfunction-associated steatotic liver disease (MASLD), a significant global health issue. Identifying and preventing high-risk individuals for MASLD early is crucial. The purpose of our study is to investigate the factors related to the development of MASLD and develop a risk prediction model for its occurrence.

The dark side of the association between internet use and older adults' subjective wellbeing: the role of subjective social class.

Objectives: The majority of studies exploring the relationship between internet use and subjective wellbeing among older adults tend to overlook the mediating mechanisms, particularly psychological ones. Additionally, while research has concluded that internet use is significantly associated with higher levels of subjective wellbeing, it remains unclear whether these associations might become insignificant or negative under certain conditions. To address these gaps, this study investigated the association between internet use and subjective wellbeing in older adults, with a focus on the mediating role of hope and the moderating role of subjective social class.

Metabolic profiles and potential antioxidant mechanisms of hawk tea.

Hawk tea has received increasing attention for its unique flavor and potential health benefits, with antioxidant function being one of its significant bioactivities. However, the metabolic profiles, potential antioxidant components, and action mechanisms of different types of hawk tea are still unclear. In this study, the chemical components of five hawk teas were determined using untargeted metabolomics.

Mechanistic Insights into the Aerobic Oxidation of 2,5-Bis(hydroxymethyl)furfural to 2,5-Furandicarboxylic Acid on Pd Catalysts.

2,5-Furandicarboxylic acid (FDCA) is one of the top selected value-added chemicals, which can be obtained by the aerobic oxidation of 2,5-bis(hydroxymethyl)furfural (BHMF) over a Pd-based catalyst. However, the elucidation of the reaction mechanism was hindered by its rapid kinetics. Herein, employing the density functional theory (DFT) calculations, we delve into the detailed reaction pathways of the BHMF oxidation into FDCA over Pd(111) and PdH(111) identifying the rate-determining steps.

Experimental study on the influencing factors and pore production law of CO huff-and-puff in tight sandstone reservoirs.

In order to determine the influence of different factors on the CO huff-and-puff displacement effect, a CO huff-and-puff experiment was carried out with Chang 6 tight sandstone samples in Ordos Basin as the research object. Combined with nuclear magnetic resonance technology, the influences of injection pressure, cycle numbers and soaking time on the CO huff-and-puff effect were evaluated, and the optimal CO huff-and-puff parameters were optimized. The microscopic degree of crude oil production in different scale pores was quantitatively characterized.

The use of large language models in detecting Chinese ultrasound report errors.

This retrospective study evaluated the efficacy of large language models (LLMs) in improving the accuracy of Chinese ultrasound reports. Data from three hospitals (January-April 2024) including 400 reports with 243 errors across six categories were analyzed. Three GPT versions and Claude 3.

Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma.

Existing prognostic models are useful for estimating the prognosis of lung adenocarcinoma patients, but there remains room for improvement. In the current study, we developed a deep learning model based on histopathological images to predict the recurrence risk of lung adenocarcinoma patients. The efficiency of the model was then evaluated in independent multicenter cohorts.

Logic-Gated DNA Intelligent Nanorobots for Cellular Lysosome Interference and Enhanced Therapeutics.

Environment-recognizing DNA nanodevices have proven promising for cellular manipulation and disease treatment, whereas how to sequentially respond to different cellular microenvironments remains a challenge. To this end, here we elaborate a logic-gated intelligent DNA nanorobot (Gi-DR) for the cascade response to inter- and intra-cellular microenvironments, thereby achieving lysosome-targeted cargo delivery for subcellular interference and tumor treatment with enhanced efficacy. Utilizing G-quadruplexes to respond to high-level K+ in cancer cell surrounding, this Gi-DR nanorobot can activate an aptamer-based transmembrane DNA machine that delivers molecular payloads to cellular lysosome.

The disparities and development trajectories of nations in achieving the sustainable development goals.

The Sustainable Development Goals (SDGs) provide a comprehensive framework for societal progress and planetary health. However, it remains unclear whether universal patterns exist in how nations pursue these goals and whether key development areas are being overlooked. Here, we apply the product space methodology, widely used in development economics, to construct an 'SDG space of nations'.

Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model.

Scientific prediction of migrant worker numbers provides decision-making references for resolving rural talent supply issues. Based on the evolutionary patterns and data features of Chongqing's migrant workers, a new grey prediction model is constructed. The new model is constructed by introducing fractional-order operators in the real domain.

Research Progress in the Molecular Mechanism of NLRP3 Inflammasome in Alzheimer's Disease and Regulation by Natural Plant Products.

Alzheimer's disease (AD) is a prominent neurodegenerative disorder affecting the central nervous system in the elderly. Current understanding of AD primarily centers on the gradual decline in cognitive and memory functions, believed to be influenced by factors including mitochondrial dysfunction, β-amyloid aggregation, and neuroinflammation. Emerging research indicates that neuroinflammation plays a significant role in the development of AD, with the inflammasome potentially mediating inflammatory responses that contribute to neurodegeneration.

Selenium-Enriched Lactiplantibacillus plantarum ZZU 8-12 Regulates Intestinal Microbiota and Inhibits Acute Liver Injury.

Intake of certain Lactiplantibacillus strains was recognized as a potential strategy for acute liver injury (ALI) prevention. This study is aimed at developing a selenium-enriched Lactiplantibacillus strain-based ALI prevention strategy. L.

Probiotic Limosilactobacillus reuteri DSM 17938 Alleviates Acute Liver Injury by Activating the AMPK Signaling via Gut Microbiota-Derived Propionate.

Limosilactobacillus reuteri DSM 17938 (L. reuteri DSM 17938) was one of the most widely used probiotics in humans for gastrointestinal disorders, but few studies have investigated its role in drug-induced liver injury (DILI). Here, we evaluated the efficacy of L.