Following injury, tissue autonomously initiates a complex repair process, resulting in either partial recovery or regeneration of tissue architecture and function in most organisms. Both the repair and regeneration processes are highly coordinated by a hierarchy of interplay among signal transduction pathways initiated by different growth factors, cytokines and other signaling molecules under normal conditions. However, under chronic traumatic or pathological conditions, the reparative or regenerative process of most tissues in different organs can lose control to different extents, leading to random, incomplete or even flawed cell and tissue reconstitution and thus often partial restoration of the original structure and function, accompanied by the development of fibrosis, scarring or even pathogenesis that could cause organ failure and death of the organism. Ample evidence suggests that the various combinatorial fibroblast growth factor (FGF) and receptor signal transduction systems play prominent roles in injury repair and the remodeling of adult tissues in addition to embryonic development and regulation of metabolic homeostasis. In this review, we attempt to provide a brief update on our current understanding of the roles, the underlying mechanisms and clinical application of FGFs in tissue injury repair.

Objectives: The objective of this study was to estimate the prevalence of dyslipidemia and associated influencing factors in young adults in the southeastern coastal area of China. Methods: This study adopted a cross-sectional survey and included 7,859 young people who underwent examinations at three hospitals in Wenzhou, Zhejiang Province, China. All subjects completed a questionnaire in the form of face-to-face interviews and underwent anthropometric measurements and biochemical tests. The continuous data are presented as the means ± standard deviations and were compared using Student's t-tests. The categorical variables are presented as proportions. The influencing factors associated with dyslipidemia were evaluated through a multivariate logistic regression. Results: The prevalence of dyslipidemia among young adults aged 18–45 years in the southeastern coast of China was high with 7.1, 15.0, 22.9, and 4.0% for high-total cholesterol (TC), high-triglyceride (TG), low-high-density lipoprotein cholesterol (HDL-C), and high-low-density lipoprotein cholesterol (LDL-C). Among those with dyslipidemia, a statistically significant difference in sex was observed, and all types of dyslipidemia were associated with smoking and alcohol consumption. However, those with high-TG, high-LDL, and low-HDL levels did not significantly differ in education level or occupation. The presence of dyslipidemia was significantly associated with increased age, the male sex (OR: 1.85, 95% CI: 1.39–2.21), smoking (OR: 2.02, 95% CI: 1.98–2.13), alcohol consumption (OR: 1.33, 95% CI: 1.16–1.63), overweight or obesity (OR: 2.01, 95% CI: 1.79–2.41), and intellectual work (OR: 1.36, 95% CI: 1.11–1.72). Conclusion: The prevalence of dyslipidemia among young adults aged 18–45 years in the southeastern coast of China was high. To prevent dyslipidemia at an early age, it is essential to conduct effective intervention programs targeting risk factors and to implement routine screening programs.

To investigate the relationship between symptom of attention-deficit/hyperactivity disorder (ADHD) and allergic rhinitis (AR) in AR children of different genders and ages. Four hundred and sixty-five allergic rhinitis children aged 6–12 years old were recruited in this study. Skin-prick test, Pediatric Rhinoconjunctivitis Quality of Life Questionnaire (PRQLQ), Total Nasal Symptoms Score (TNSS) and the Swanson, Nolan, and Pelham version IV scale (SNAP-IV) were recorded. Patients were divided into AR with ADHD and AR without ADHD, according to the SNAP-IV scale results. Children with the inattention/hyperactivity scale (IHS) > 1.25 accounted for 26.4% of all children with AR. The TNSS with IHS > 1.25 group were significantly higher than the IHS ≤ 1.25 group. Univariate analysis showed that age, gender, duration of AR symptoms, skin index, and PRQLQ subscales were associated with symptoms of hyperactivity and attention deficit (IHS > 1.25). After normalizing the age and gender factors, duration of AR symptoms and skin index correlated with IHS > 1.25. After stratifying age and gender, the correlation between IHS > 1.25 and skin index and PRQLQ subscales was mainly found in male children, and the association between the duration of AR symptoms and IHS > 1.25 was reflected in each group. ADHD in children with AR is associated with severity, duration, and skin index of AR, and this association is more pronounced in male children.

Obesity is a significant risk factor for stroke. However, body mass index is insufficient in assessing fat distribution and there is a need for a better indicator to predict stroke risk. Additionally, early detection and prognosis prediction for stroke and mortality are crucial for pre-emptive interventions. We examined to evaluate the utility of obesity-related indices in a stacked machine learning (ML) model by developing an in-silico quantitative marker (ISS) to predict stroke risk. This is a prospective cohort study utilizing data from the China Health and Retirement Longitudinal Study (CHARLS) (2011–2018) and a health examination cohort in China (2017–2024), English Longitudinal Study of Ageing (ELSA) (2004–2014) in the UK. A total of 13,324 participants from CHARLS were included in the cross-sectional analysis. For model development and internal and external validation, 10,044 participants from CHARLS, 3698 from ELSA, and 6884 from the second affiliated hospital of Wenzhou medical university were included. Stacked ML models with optimal obesity indices to detect the risk of stroke were constructed. The predictive accuracy of the models was evaluated with the area under the receiver operating curve (ROC-AUC). Triglyceride-Glucose-Body Mass Index (TyG-BMI) and TyG were two optimal predictors and outperformed BMI (AUC = 0.821) in the cross-sectional study. In the longitudinal cohort, the model with the highest AUC was the stacked ML model incorporating TyG-BMI, which achieved an AUC of 0.816 (95% CI: 0.807–0.824) in the training cohort and 0.833 (95% CI: 0.816–0.849) in the internal set for predicting stroke risk. For the external sets, the AUC was 0.803 (95% CI: 0.791–0.816) for the ELSA cohort and 0.805 (95% CI: 0.793–0.818) for the health examination cohort. The stacked ML model based on TyG-BMI showed the best performance with the highest F1 score (0.209:0.124:0.117), lowest Brier score (0.040:0.041:0.041) and model improvement (all NRI and IDI >0). The ISS score was significantly associated with stroke and stroke-related death, classifying individuals into low- and high-risk groups for death in the training cohort with and AUC of 0.891 (95% CI: 0.840, 0.935) and 0.879 (95% CI: 0.749, 0.979) for the internal validation sets. The stacked ML model incorporating TyG-BMI effectively predicts stroke risk, with the ISS score demonstrating strong performance across diverse populations. Further research is needed to assess its applicability in broader cohorts. None.

Introduction: Occupational stress is considered to be a harmful physical and emotional response to an individual's psychological and/or physiological state in the work environment and is highly prevalent among medical staff. However, few epidemiological studies have investigated occupational stress in medical staff. Our study aims to explore the characteristics of occupational stress and its relationship with dyslipidemia in Chinese medical staff at tertiary hospitals and establish the basis for future preventive strategies.Methods: A cross‐sectional study was conducted in three tertiary public hospitals in Wenzhou City, Zhejiang Province, China. Data were collected using random sampling procedures to examine demographic characteristics and job‐related data. The participants completed the Occupational Stress Inventory—Revised (OSI‐R) questionnaires and serum lipids tests. Partial correlation analysis was conducted to explore the relationship between occupational stress and dyslipidemia.Results: A total of 1,176 medical staff responses to questionnaires were obtained. The occupational stress levels of medical staff were higher than those of normative populations, while their coping resources were lower. Most of the subscales of occupational stress demonstrated higher results for doctors and males than for nurses and females with crude analyses. Each subscale of OSI‐R was found to be associated with a different type of blood lipid level.Conclusions: The occupational stress level of medical staff in tertiary public hospitals in Wenzhou was high, and occupational stress may contribute to dyslipidemia. An investigation into occupational stress levels and their association with dyslipidemia in this population could draw more attention to medical staff in tertiary public hospitals.