The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is higher among individuals with inflammatory bowel disease (IBD) than in the general population. Emerging evidence indicates that the development of MASLD in patients with IBD may occur independently of traditional metabolic risk factors, suggesting a unique pathophysiological mechanism distinct from conventional MASLD pathways. Bile acids (BAs), which act as critical signaling molecules in enterohepatic circulation, play an essential role in maintaining gastrointestinal homeostasis through bidirectional gut–liver axis communication. These molecules are increasingly recognized as pivotal regulators in the progression of both MASLD and IBD. While previous studies have characterized the dynamics of BA in blood or fecal samples under both conditions, a comprehensive understanding of their metabolic profiles and the associated interactions within the gut–liver axis is still lacking. This review synthesizes current evidence from studies employing BA metabolomics to investigate IBD and MASLD. By focusing on BA signatures, we summarize conserved alterations between these two conditions and their potential mechanisms of disease progression. Our review advances understanding of BA-mediated pathways in IBD and MASLD, providing a foundation for assessing their roles in contributing to the pathogenesis of MASLD in patients with IBD.

There are difficulties in the treatment of Alzheimer's disease (AD) in medical community. Since the surgery of cervical deep lymphatic vessel/lymphatic node-vein anastomosis (LVA/LnVA) has made clinical improvement in patients with AD, it offers a surgical option to treat AD. Especially improvements in cognitive impairment. However the mechanism in treatment of AD is not yet made clear. This article preliminarily explores the mechanism in improvement of some symptoms in patients with AD through cervical deep LVA/LnVA on the basis of morphological characteristics of the cribriform plate-cervical lymphatic pathway.

ObjectiveTo investigate the prevalence and associated factors of malocclusion among preschool children in Fengxian District, Shanghai, and to provide a scientific basis for local medical and public health departments to formulate targeted interventions. MethodsA cross-sectional study was conducted from September to December 2024. A total of 1 172 children aged 3‒5 years were recruited from 10 kindergartens across 5 townships in Fengxian District, using stratified cluster random sampling method. Clinical examinations were conducted to record occlusal parameters such as the relationship of the second deciduous molars, canine teeth relationship, anterior overbite and overjet, anterior and posterior crossbite, and crowded dentition. A questionnaire survey was performed to the parents to collect information on factors influencing malocclusion, including genetic predisposition, poor oral habits, dietary patterns, and sleep-related breathing conditions. Data were statistically analyzed using IBM SPSS Statistics 27 software, with chi-square test for categorical data and binary logistic regression analysis for influencing factors. ResultsThe overall prevalence of malocclusion among 3‒5-year-old children in Fengxian District of Shanghai was 70.73%, with no statistically significant differences between genders (P>0.05). Deep overbite accounted for the highest proportion (49.66%), followed by Angle Class Ⅱ malocclusion of the second deciduous molars (17.83% on the left, 19.11% on the right), midline deviation (13.23%), anterior crossbite (6.74%), and crowding of the maxillary and mandibular anterior teeth (16.38% for the maxillary dentition, 17.58% for the mandibular dentition). Multivariate analyses showed that habitual mouth breathing during the day (OR=0.509, P=0.009) and morning dry mouth upon waking (OR=1.455, P=0.023) were independent influencing factors for malocclusion. ConclusionThe prevalence of malocclusion is relatively high among preschool children in Fengxian District, Shanghai,with deep overbite being the dominant trait. Sleep-related breathing conditions (such as habitual mouth breathing during the day and morning dry mouth) is an important influencing factor for malocclusion. Public health authorities should strengthen oral health education and promote the correction of bad habits to reduce the prevalence of malocclusion and improve children’s oral health.

Objective: To develop a rapid quantification method for neutrophil extracellular traps (NETs) by quantifying neutrophils forming NETs (NETotic cells) on routine peripheral blood smears, and to evaluate the performance of an early warning model combining NETs with traditional coagulation indicators for risk of sepsis-induced coagulopathy (SIC) in septic patients. Methods: This prospective observational study was conducted in Wuxi People's Hospital Affiliated with Nanjing Medical University between May 2023 and May 2025. A total of 147 patients with sepsis (diagnosed based on Sepsis-3.0 criteria) who had not developed SIC [the international society on thrombosis and haemostasis (ISTH SIC score <4)] were enrolled. Blood samples were collected within 2 hours of admission. Neutrophil smudge cells (NETs%) were counted using an automated cell morphology analyzer. Serum levels of myeloperoxidase-DNA (MPO-DNA) complexes, circulating free DNA (cf-DNA) and sequential organ failure assessment (SOFA) scores were also determined. Based on progression to SIC (ISTH score ≥4) within 72 hours of admission, patients were categorized into a sepsis without SIC group (n=85) and a sepsis with SIC group (n=62). Risk factors were analyzed using binary logistic regression, receiver operating characteristic (ROC) curves were plotted, and the predictive value of NETs%, SOFA, and AT-Ⅲ for coagulation dysfunction was assessed. Results: The NETs% level was significantly higher in the sepsis with SIC group [8.50% (7.00, 11.50)] compared to both the healthy control group [1.00% (0.00, 2.00)] and sepsis without SIC group [4.40%(3.50, 6.50)] (P<0.01). NETs% was identified as an independent risk factor for SIC in sepsis patients. ROC analysis showed that the area under the curve (AUC) for predicting SIC was 0.90 for NETs%, 0.85 for MPO-DNA, and 0.79 for cf-DNA. The combined model of NETs% and SOFA score demonstrated the best performance, with an optimal cut-off value of 0.33, an AUC of 0.92, a sensitivity of 77%, and a specificity of 93%. Conclusion: NETs% shows promise as a novel biomarker for SIC. Peripheral blood smear morphology provides a simple, rapid, and cost-effective method for quantifying NETs%. NETs% enhances the early clinical identification of patients at high risk for SIC, and its combination with the SOFA score facilitates SIC prediction, offering a critical time window for initiating timely preventive interventions.

This study aims to investigate the polarized microscopic mineral phase characteristics, inorganic element content, and potential health risks associated with the intake of raw and calcined fossil mineral Chinese medicinal material Draconis Os. Microscopy was employed to observe the mineralogical characteristics of Draconis Os and compare the microscopic features and phase composition of raw and calcined Draconis Os under monochromatic and orthogonal polarized light. Inductively coupled plasma mass spectrometry(ICP-MS) was employed to determine the content of 30 inorganic elements. Health risk assessment was conducted by calculating the single pollution index(P_i), average daily intake of elements for adults(ADI), target hazard quotient(THQ), non-carcinogenic assessment method-hazard quotient(HQ), and the carcinogenic risk of elements(CR). The results indicated that under monochromatic polarized light, the Draconis Os powder sections exhibited light gray-brown to gray-brown irregular fragments, some with undulating textures that were slightly curved. Under crossed polarized light, they appeared dark gray, grayish-white, and yellowish-white. Clear apatite was visible in the ground sections of Draconis Os under crossed polarized light. P_i results indicated that Draconis Os samples were free from contamination and were of good quality. According to the maximum allowable limits of heavy metals stipulated in ISO Traditional Chinese Medicine: Determination of heavy metals in herbal medicines used in Traditional Chinese Medicine, ADI, THQ, HQ, and CR were taken as assessment indicators. Only the THQ value for As(arsenic) in raw Draconis Os was greater than 1, while the THQ values for other heavy metal elements in the Draconis Os samples were all less than 1. The study demonstrates that the primary mineral phase of raw and calcined Draconis Os is apatite, with some samples co-existing with calcite, which can serve as one of the means for quality control of Draconis Os. The elemental analysis results from ICP-MS provide scientific evidence for the safety assessment of Draconis Os, indicating that Draconis Os is safe in clinical application.
Drugs, Chinese Herbal/analysis* ; Risk Assessment ; Minerals/chemistry* ; Fossils ; Humans ; Drug Contamination ; Mass Spectrometry

Chronic myeloid leukemia (CML) is a malignant hematologic disorder caused by abnormal proliferation of hematopoietic stem cells. In recent years, while the application of tyrosine kinase inhibitors (TKIs) has significantly improved the prognosis of CML patients through in-depth exploration of pathogenesis of CML and advancements in targeted therapies, some patients still face challenges including drug resistance, disease relapse, and failure to achieve treatment-free remission. Imunotherapy, as a complementary or alternative strategy, holds significant potential for overcoming these limitations, and has gradually emerged as a critical research focus in CML treatment. This review aims to summarize the current research status and latest advances in immunotherapy for CML.

Objective To collect and analyze outpatient prescription data for exogenous cough treatment from a hospital in Shenzhen,and to identify the characteristics and medication patterns of traditional Chinese medicine(TCM).Methods This study collected prescriptions from a hospital in Shenzhen for exogenous cough treatment in January 2024.R language for data mining were used to analyze the medication frequency,clustering patterns,and association rules in the treatment of exogenous cough by TCM and to explore the medication patterns and the usage of classic formulas in TCM for this condition.Results A total of 451 outpatient prescriptions for exogenous cough were include,the top ten most frequently used herbs were Licorice,Bitter almond,Bellflower,Ephedra,Tangerine peel,Stemonae radix,Tuckahoe,Pinellia ternata,Nepeta,Bulb of thunberg fritillary.Cluster analysis and association rules revealed that San'ao decoction,Kikyodon soup,and Zhisou powder were commonly prescribed,targeting lung function,dispersing wind,and resolving phlegm to effectively alleviate cough symptoms.Significant differences in medication usage were observed across different syndrome types.For the wind cold attacking lung pattern,the core herbs were warm in nature and focused on dispersing with acrid-warm properties.Conversely,the treatment of wind heat attacking the lung pattern typically involved cold-natured herbs,with a primary focus on clearing and draining lung heat.Stratification by age revealed that the pediatric group often used drugs with mild properties,such as Stemona and Shegan.The young adult group tended to be prescribed cold-natured drugs like Forsythia and Hogfonnel Root.The middle-aged and elderly group preferred warming and tonifying drugs such as Japanese Catnip and Perilla frutescens.Conclusion The TCM treatment of exogenous cough primarily focuses on releasing the exterior and dispersing the lung.Due to the region's subtropical monsoon climate and temperature fluctuations physicians flexibly modified classical formulas such as San'ao decoction and Zhisou powder according to individual constitutions and symptom patterns.This targeted,syndrome-based approach effectively disperses the lung qi,stops cough and transforms phlegm,and alleviates cough.

Objective:To evaluate the perceived level of home exercise behavior in elderly patients with ovarian cancer and analyze its influencing factors, so as to promote home exercise behavior of patients and improve the quality of life.Methods:A total of 227 elderly patients with ovarian cancer from January 1, 2021 to October 1, 2023 in the First Affiliated Hospital, School of Medicine, Zhejiang University were selected by convenience sampling method. A cross-sectional survey was conducted by General Information Questionnaire, Exercise Benefits/Barriers Scale (EBBS), Social Support Rating Scale (SSRS), General Self-efficacy Scale (GSES) and Brief Fatigue Inventory (BFI). The influencing factors on the perceived level of home exercise behavior in elderly patients with ovarian cancer were analyzed.Results:There were 227 elderly female patients with ovarian cancer, including 151 patients aged<70 years old and 76 patients aged ≥70 years old. The scores of EBBS, SSRS, GSES, BFI were (123.37±11.02), (37.68±7.44), (29.35±6.54), (5.82±2.01) points. The perception of exercise behavior was positively correlated with general self-efficacy and social support ( r=0.752, 0.901, both P<0.01), was negatively correlated with cancer-related fatigue ( r=-0.198, P<0.01). The results showed that general self-efficacy, social support, age≥70 years old, no spouse, not being informed of the benefits of exercise,fatigue due to moderate and severe cancer, duration of disease ≥12 months were the influencing factors ( t values were -4.56 - 4.46, all P<0.05). Conclusions:Elderly patients with ovarian cancer need to improve their perception level of home exercise behavior. In the formulation of home exercise behavior for elderly patients with ovarian cancer, education and cognition on the perceived benefits of home exercise behavior should be strengthened, and patients′ physical and mental status should be evaluated before exercise to actively reduce cancer-related fatigue. At the same time, the combination of family support can improve the perceived level of exercise behavior of elderly patients with ovarian cancer at home, so as to promote home exercise behavior of patients.

Regarding the challenge of early identification of critically ill patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD),a radiomics-clinical fusion model is proposed based on non-contrast CT images of accessory respiratory muscles to predict life-threatening conditions.A retrospective study is conducted involving 233 AECOPD patients(153 non-life-threatening and 80 life-threatening cases).Patients are divided into a training set(n=186)and a test set(n=47)at a 4:1 ratio.A total of 1 874 radiomic features are extracted from the erector spinae and pectoralis muscle regions delineated by radiologists on non-contrast CT images,and the features selection is performed using maximum relevance minimum redundancy and least absolute shrinkage and selection operator(LASSO)algorithms.Meanwhile,clinical data are analyzed with t-test and LASSO for variable screening.The selected features are input into C-support vector classification,Logistic regression,random forest,adaptive boosting(AdaBoost),and extreme gradient boosting(XGBoost)to construct radiomics model,clinical model,and fusion model.Predictive performance and clinical practicality are evaluated in the test set using receiver operating characteristic curve,area under the curve(AUC),and decision curve analysis.The radiomics-clinical fusion model built with XGBoost outperformed standalone radiomics and clinical models,achieving an AUC of 0.902(95％CI 0.846,0.994),with accuracy,sensitivity,specificity,and precision of 0.837,0.933,0.786,and 0.7,respectively.Results demonstrate that the fusion model based on the non-contrast CT radiomics of accessory respiratory muscles and clinical data exhibits promising diagnostic performance,highlighting its potential clinical significance for stratified management and preemptive critical care intervention in AECOPD patients.

Objective:To construct a clinical decision-making ability indicator system based on evidence-based practice for pediatric nursing interns, and to provide a scientific basis for clinical teaching and evaluation.Methods:A method combining literature analysis, Delphi expert consultation, and empirical research was used. Firstly, a systematic search of Chinese and English databases (2018-2023) was conducted. Literature was screened based on the PICO framework and evidence-based data were extracted, resulting in a preliminary system consisting of 4 primary indicators, 12 secondary indicators, and 39 tertiary indicators. Subsequently, the indicators were revised through two rounds of Delphi expert consultation (25 experts with 19-27 years of work experience). The expert authority coefficients (Cr) were 0.898-0.907 and the Kendall's concordance coefficients were 0.351-0.420 ( P<0.001). Finally, the analytic hierarchy process was used to determine the weights, and the reliability and validity were verified through a questionnaire survey (sample size: 30 participants in preliminary survey and 58 participants in formal survey). Results:The constructed indicator system included 4 primary indicators (weights), 13 secondary indicators, and 42 tertiary indicators. The weights of the primary indicators were as follows: knowledge integration ability (0.300), evidence-based practice ability (0.250), clinical judgment ability (0.280), and ethical decision-making ability (0.170). The importance scores of all items exceeded 4.0 points (out of 5 points), and the coefficients of variation were less than 0.20. The reliability and validity tests showed that the Cronbach's α of the overall scale was 0.89, and the intraclass correlation coefficient was 0.88. The cumulative variance contribution rate of exploratory factor analysis was 69.30%. The confirmatory factor analysis demonstrated a good model fit with a comparative fit index of 0.93 and a root mean square error of approximation of 0.05. Conclusions:This indicator system has high scientificity and practicality, and can provide a reference for the standardized cultivation and evaluation of clinical decision-making ability of pediatric nursing interns. In the future, it is necessary to strengthen advanced evidence-based skills training and long-term application effectiveness tracking.