Development and validation of a risk prediction model for gestational diabetes mellitus in women of advanced maternal age during the first trimester.

With the global rise in advanced maternal age (AMA) pregnancies, the risk of gestational diabetes mellitus (GDM) increases. However, few GDM prediction models are tailored for AMA women. This study aims to develop a practical risk prediction model for GDM in AMA women.

Development and validation of the Information Literacy Measurement Scale (ILMS-34) in Chinese public health practitioners.

Background: Public health professionals (PHPs) have increasing information needs to inform evidence-based public health decisions and practice, which requires good information literacy. A comprehensive and reliable assessment tool is necessary to assess PHPs' literacy and guide future promotion programs. However, there is a lack of measurement tools specifically for the information literacy of PHPs.

Gender differences in the prognostic impact of uric acid in patients with heart failure and preserved ejection fraction.

Background: Uric acid has been identified as an independent predictor of poor outcomes in patients with heart failure with preserved ejection fraction (HFpEF). However, the impact of gender differences on this association is not fully explored.

Methods: This retrospective cohort study included hospitalized patients with HFpEF from June 2018 to October 2022.

hsa_circ_0001599 promotes odontogenic differentiation of human dental pulp stem cells by increasing ITGA2 expression and stability.

Dental pulp regeneration is significantly aided by human dental pulp stem cells (hDPSCs). An increasing number of studies have demonstrated that circular RNAs (circRNAs) are crucial in the multidirectional differentiation of many mesenchymal stem cells, but their specific functions and mechanisms remain unknown. This work aimed at elucidating the molecular mechanism by which hsa_circ_0001599 works in hDPSCs during odontogenic differentiation.

Regulation of enzymatic lipid peroxidation in osteoblasts protects against postmenopausal osteoporosis.

Oxidative stress plays a critical role in postmenopausal osteoporosis, yet its impact on osteoblasts remains underexplored, limiting therapeutic advances. Our study identifies phospholipid peroxidation in osteoblasts as a key feature of postmenopausal osteoporosis. Estrogen regulates the transcription of glutathione peroxidase 4 (GPX4), an enzyme crucial for reducing phospholipid peroxides in osteoblasts.

Metabolomic profiles in allergic rhinitis: a systematic review and meta-analysis.

Background: Allergic rhinitis (AR) is a prevalent chronic inflammatory condition that significantly impacts patient quality of life and poses a substantial public health burden. Recent advancements in metabolomics have facilitated a deeper understanding of the metabolic pathways involved in AR, offering potential for new biomarkers and therapeutic targets.

Objective: This article aims to conduct a systematic review and meta-analysis of clinical studies summarizing the metabolomic profiles of allergic rhinitis (AR) to gain deeper insights into the metabolic changes and pathological processes underlying AR.

Association of different emotional support status with cardio-cerebrovascular diseases.

Background: Evidence suggests that emotional status affect physical health. We aimed to investigate the association of different emotional support sources with morbidity or mortality of cardio-cerebrovascular diseases (CVDs).

Methods: We conducted a retrospective-cohort analysis using data in National Health and Nutrition Examination Survey from 1999 to 2004.

Aspirin after completion of standard adjuvant therapy for colorectal cancer (ASCOLT): an international, multicentre, phase 3, randomised, double-blind, placebo-controlled trial.

Background: Aspirin is a simple, globally available medication that has been shown to reduce the incidence of colorectal cancer. We aimed to evaluate the safety and efficacy of aspirin in the secondary prevention of colorectal cancer.

Methods: This phase 3, randomised, double-blind, placebo-controlled trial was conducted at 66 centres across 11 countries and territories (ten in Asia-Pacific; one in the Middle East).

YTHDF2-mediated mA modification of ONECUT2 promotes stemness and oxaliplatin resistance in gastric cancer through transcriptionally activating TFPI.

Aims: Chemoresistance results in poor outcomes of patients with gastric cancer (GC). This study aims to identify oxaliplatin resistance-related cell subpopulations in the tumor microenvironment (TME) and decipher the involved molecular mechanisms.

Methods: Through single-cell RNA sequencing, a unique ONECUT2TFPI GC cell subset was identified in the oxaliplatin-resistant TME.

Bimodal In Situ Analyzer for Circular RNA in Extracellular Vesicles Combined with Machine Learning for Accurate Gastric Cancer Detection.

Circular RNAs in extracellular vesicles (EV-circRNAs) are gaining recognition as potential biomarkers for the diagnosis of gastric cancer (GC). Most current research is focused on identifying new biomarkers and their functional significance in disease regulation. However, the practical application of EV-circRNAs in the early diagnosis of GC is yet to be thoroughly explored due to the low accuracy of EV-circRNAs analysis.

Squamocin Suppresses Tumor Growth through Triggering an Endoplasmic Reticulum Stress-Associated Degradation of EZH2/MYC Axis.

Despite substantial advances in the antitumor effects of annonaceous acetogenins (ACGs), the absence of a defined biological action mechanism remains a major barrier to their clinical application. Here, it is found that squamocin effectively depletes both EZH2 and MYC in multiple cancer cell lines, including head and neck squamous cell carcinoma, and gastric and colorectal cancer, demonstrating potent efficacy in suppressing these in vivo tumor models. Through the combination of surface plasmon resonance (SPR), differential scanning fluorimetry (DSF), and cellular thermal shift assay (CETSA), heat shock protein 90α (HSP90α) is identified as the direct binding target of squamocin.

Biomimetic wrinkled prebiotic microspheres with enhanced intestinal retention for hyperphosphatemia and vascular calcification.

It is urgent for patients with chronic kidney disease (CKD) to develop a robust and facile therapy for effective control of serum phosphate and reasonable regulation of gut microbiota, which are aiming to prevent cardiovascular calcification and reduce cardiovascular complications. Here, bioinspired by intestinal microstructures, we developed biomimetic wrinkled prebiotic-containing microspheres with enhanced intestinal retention and absorption for reducing hyperphosphatemia and vascular calcification of CKD model rats. The resultant CSM@5 microspheres exhibited favorable phosphate binding capacity in vitro and could effectively reduce serum concentration of phosphorous in vivo.

Thirteen serum biochemical indexes and five whole blood coagulation indices in a point-of-care testing analyzer: ideal protocol for evaluating pulmonary and critical care medicine.

The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine. Despite their reliability, traditional laboratories often lag in terms of rapid diagnosis. Point-of-care testing (POCT) has emerged as a promising alternative, which is awaiting rigorous validation.

Analysis of the effect of ALA-PDT on macrophages in footpad model of mice infected with based on single-cell sequencing.

Chromoblastomycosis (CBM) is a chronic neglected fungal disease that causes serious damage to the physical and mental health of patients. 5-Aminolevulinic acid photodynamic therapy (ALA-PDT) has garnered significant attention in the recent era for the treatment of CBM and has exhibited promising effects in several clinical case reports. We established a mice footpad infection model with and analyzed the impact of PDT treatment on the immune response of macrophages using single-cell sequencing.

Comparison of nalbuphine and dezocine for postoperative analgesia in elderly patients undergoing laparoscopic radical gastric cancer surgery.

Objective: Gastric cancer is a prevalent and significant malignancy that occurs throughout the world, with a particularly pronounced impact on the elderly population. This study aims to compare the efficacy of nalbuphine and dezocine in managing pain following laparoscopic radical gastrectomy.

Method: Elderly patients undergoing laparoscopic radical gastrectomy were divided into a nalbuphine (n=50) group and a dezocine (n=50) group according to their anesthesia agent.

Impact of Systolic Blood Pressure Trajectories and Variability on Unexplained Early Neurological Deterioration Post-Endovascular Treatment in Acute Ischemic Stroke Patients.

Early neurological deterioration (END) following endovascular treatment (EVT) in acute ischemic stroke (AIS) patients is associated with poor long-term outcomes. Although unstable systolic blood pressure (SBP) after EVT is recognized as a risk factor for END, it remains unclear whether this association persists after excluding identifiable causes of END. In this prospective, observational cohort study, AIS patients who underwent EVT within 24 h of stroke onset were included.

Skeletal muscle-specific Bambi deletion induces hypertrophy and oxidative switching coupling with adipocyte thermogenesis against metabolic disorders.

Skeletal muscle plays a significant role in both local and systemic energy metabolism. The current investigation aims to explore the role of the Bambi gene in skeletal muscle, focusing on its implications for muscle hypertrophy and systemic metabolism. We hypothesize that skeletal muscle-specific deletion of Bambi induces muscle hypertrophy, improves metabolic performance, and activates thermogenic adipocytes via the reprogramming of progenitor of iWAT, offering potential therapeutic strategies for metabolic syndromes.

Dissecting Causal Relationships Between Antihypertensive Drug, Gut Microbiota, and Type 2 Diabetes Mellitus and Its Complications: A Mendelian Randomization Study.

Limited research has investigated the impact of antihypertensive medications on type 2 diabetes mellitus (T2DM) and whether gut microbiome (GM) mediates this association. Thus, we conducted a two-sample Mendelian randomization (MR) analysis to estimate the potential impact of various antihypertensive drug target genes on T2DM and its complications. Genetic instruments for the expression of antihypertensive drug target genes were identified with expression quantitative trait loci (eQTL) in blood, which should be associated with systolic blood pressure (SBP).

Exosomes in Autoimmune Diseases: A Review of Mechanisms and Diagnostic Applications.

Exosomes, small extracellular vesicles secreted by various cell types, have emerged as key players in the pathophysiology of autoimmune diseases. These vesicles serve as mediators of intercellular communication, facilitating the transfer of bioactive molecules such as proteins, lipids, and nucleotide. In autoimmune diseases, exosomes have been implicated in modulating immune responses, oxidative stress, autophagy, gut microbes, and the cell cycle, contributing to disease initiation, progression, and immune dysregulation.

Improved positioning in robotic assisted laparoscopic partial nephrectomy using the EDGE MP1000 surgical robot.

This study investigated the impact of an improved body positioning on the effectiveness of EDGE MP1000 robot-assisted laparoscopic partial nephrectomy. We compared clinical data from 39 patients who underwent the procedure at Zhujiang Hospital of Southern Medical University between November 2023 and May 2024. The control group (18 patients) received conventional positioning, while the experimental group (21 patients) received precise positioning, which included patient assessments, optimized positioning techniques, and enhanced nursing measures.

Effectiveness of a virtual reality-based sensory stimulation intervention in preventing delirium in intensive care units: a randomised-controlled trial protocol.

Introduction: Delirium is a common acute cognitive impairment characterised by confusion, disorientation and attention deficits, particularly prevalent in intensive care unit (ICU) settings. Given its significant impact on patients, caregivers and healthcare resources, preventing delirium in patients in the ICU is of paramount importance. This is the first randomised-controlled trial designed to evaluate the effects of a virtual reality-based sensory stimulation intervention on preventing delirium in ICU patients.

Strategies for long-acting drug design.

With advances of drug design and preparation technology, the development of long-acting drugs has become an important research focus in precision medicine and chronic disease management. These drugs are designed to improve the patients' compliance and quality of life by achieving prolonged maintenance of an effective drug concentration in the body with a reduced dosing frequency. Small molecule drugs, monoclonal antibodies and nucleic acid drugs all have their own difficulties in achieving long actions, which can be especially challenging for the latter two because of their structural complexity.

A fusion model of manually extracted visual features and deep learning features for rebleeding risk stratification in peptic ulcers.

Objectives: We propose a multi-feature fusion model based on manually extracted features and deep learning features from endoscopic images for grading rebleeding risk of peptic ulcers.

Methods: Based on the endoscopic appearance of peptic ulcers, color features were extracted to distinguish active bleeding (Forrest I) from non-bleeding ulcers (Forrest II and III). The edge and texture features were used to describe the morphology and appearance of the ulcers in different grades.

PE-CycleGAN network based CBCT-sCT generation for nasopharyngeal carsinoma adaptive radiotherapy.

Objectives: To explore the synthesis of high-quality CT (sCT) from cone-beam CT (CBCT) using PE-CycleGAN for adaptive radiotherapy (ART) for nasopharyngeal carcinoma.

Methods: A perception-enhanced CycleGAN model "PE-CycleGAN" was proposed, introducing dual-contrast discriminator loss, multi-perceptual generator loss, and improved U-Net structure. CBCT and CT data from 80 nasopharyngeal carcinoma patients were used as the training set, with 7 cases as the test set.

A multi-constraint representation learning model for identification of ovarian cancer with missing laboratory indicators.

Objectives: To evaluate the performance of a multi-constraint representation learning classification model for identifying ovarian cancer with missing laboratory indicators.

Methods: Tabular data with missing laboratory indicators were collected from 393 patients with ovarian cancer and 1951 control patients. The missing ovarian cancer laboratory indicator features were projected to the latent space to obtain a classification model using the representational learning classification model based on discriminative learning and mutual information coupled with feature projection significance score consistency and missing location estimation.