Wenzhou Medical University

3D epigenomic landscape of the human retinal pigment epithelium

The retinal pigment epithelium (RPE) is crucial for visual function, and its dysfunction contributes to retinal diseases such as age-related macular degeneration. Despite the translational potential of iPSC-derived RPE (iPSC-RPE) in cell replacement therapy, the functional visual...

Smart nanoparticle-assisted nucleic acid delivery for targeted therapy and tissue repair

Tissue repair necessitates precise temporal regulation of cell proliferation, differentiation, and angiogenesis. Nucleic acid drugs exhibit significant therapeutic potential, but they encounter challenges such as low delivery efficiency, nuclease degradation, poor membrane penetr...

Self‐Compassion Among Undergraduate Nursing Students: A Latent Profile Analysis

ABSTRACT Self‐compassion is a core professional value in nursing and is positively associated with nursing students' psychological well‐being, academic performance, and caring behaviors. However, heterogeneity and influencing factors in self‐compassion among nursing undergraduate...

Predictors of falls efficacy among community-dwelling older adults with ischemic stroke in Wenzhou, China: a cross-sectional study

Purpose This study aimed to examine the level of falls efficacy and identify its predictors among community-dwelling older adults with ischemic stroke in Wenzhou, China. Design/methodology/approach A cross-sectional descriptive study was conducted with 335 participants aged 60–75...

Senescence-related immunosuppressive gene MFAP2 orchestrates stromal-immune crosstalk and immunotherapy resistance in gastric cancer

Abstract Background Gastric cancer (GC) is a leading cause of cancer-related mortality worldwide, with poor prognosis and immune checkpoint inhibitor (ICI) resistance mediated by immune escape. Senescence-related immunosuppressive genes (SRIGs) regulate the tumor microenvironment...

Derivation of a novel risk assessment model of venous thromboembolism in hospitalized patients

Background Venous thromboembolism (VTE), which includes deep vein thrombosis (DVT) and pulmonary embolism (PE), significantly contributes to morbidity and mortality among hospitalized patients. Despite the existence of various VTE risk assessment models (RAMs), their performance...

Peptide-targeted cubosome and hexosome nanoassemblies mitigate mitochondrial dysfunction in a MitoPark model

Mitochondrial dysfunction is a primary pathogenic mechanism underlying dopaminergic neuron loss in the nigrostriatal pathway in Parkinson's disease (PD). To investigate mitochondrion-targeted therapeutic strategies, we utilized the MitoPark mouse model, in which mitochondrial tra...

Sex-dimorphic phenotypic divergence in metabolically driven thyroid nodules: the interplay of systemic inflammation and adiposity

Metabolic dysfunction has been increasingly implicated in thyroid nodule development; however, the sex-specific interplay between systemic glucolipotoxicity, adiposity, inflammation, and thyroid nodule risk remains poorly understood. This study aimed to evaluate the association b...

The bile acid receptor TGR5 promotes functional recovery after spinal cord injury by rescuing mitochondrial dysfunction and suppressing AIM2‐mediated pyroptosis

Background and Purpose Previous studies have highlighted the significance of the bile acid receptor TGR5 (also known as Takeda G protein‐coupled receptor 5) in regulating inflammation and mitochondrial homeostasis in various diseases, whereas the specific involvement of TGR5 in s...

Dose-response relationship of prophylactic norepinephrine infusion for prevention of spinal anesthesia-induced hypotension during caesarean delivery: A comparative study of normal weight and obese parturients.

Obese parturients are at increased risk of spinal anesthesia-induced hypotension during cesarean delivery, but optimal prophylactic norepinephrine dosing remains unclear. In this randomized, double-blind, dose-response study, 200 parturients undergoing elective cesarean delivery...

Application of a machine learning model integrating T cell subsets and clinical markers in 28-Day mortality prediction of sepsis patients

To develop a machine learning-based prediction model that integrating T cell subset data with clinical features to predict the 28-day mortality risk in sepsis patients. A retrospective cohort study was conducted using the MIMIC-IV database. Collected data included demographics, T...