Objective: To investigate the association between metabolic dysfunction associated steatotic liver disease (MASLD) and bone mineral density among children and adolescents, so as to provide evidence for the early prevention and intervention of bone health in this population. Methods: In September 2022, a method combining convenience sampling with cluster sampling was used to select 5 089 children and adolescents aged 6-18 years in 9 schools from kindergarten to senior high school in Tongzhou District, Beijing, for physical measurements, ultrasound measurements, blood biochemical index testing, and questionnaire surveys. Participants were categorized into three groups: the normal control group ( n =1 515), the metabolic abnormality group (MA, n = 3 007 ), and the MASLD group ( n =567). Multivariable linear regression model was applied to examine the association between MASLD and bone speed of sound (SOS), while multivariable Logistic regression model was used to assess the association between MASLD and low bone mineral density. Subgroup analysis was conducted by sex and age groups. Results: Compared with the normal control group, the MASLD group showed significantly lower SOS values ( β =-6.31, 95% CI =-9.63 to -2.99), lower SOS Z scores ( β = -0.21, 95% CI =-0.32 to -0.10), and higher susceptibility to low bone mineral density( OR =1.56, 95% CI =1.25-1.96)（all P <0.05）. No significant differences in SOS or odds of low bone density were observed between the MA and normal control groups (all P > 0.05). In sex stratified analyses, males with MASLD exhibited significantly lower SOS Z scores ( β =-0.35, 95% CI =-0.49 to -0.20 , P <0.05), whereas no significant difference was observed in females with MASLD ( β =-0.03, 95% CI =-0.21-0.15; P >0.05). When hepatic steatosis grade (0, 1, 2, and 3) was treated as a continuous variable, each one grade increase was associated with a 31% higher odds of low bone mineral density ( OR =1.31, 95% CI =1.13 to 1.53, P <0.05). Conclusions MASLD is significantly associated with low bone mineral density among children and adolescents, with a stronger association in males. Moreover, children and adolescents with hepatic steatosis have a higher risk of impaired bone health compared with those with metabolic abnormalities alone.

Objective: To explore the impact of adverse childhood experiences (ACEs) on health risk behaviors (HRBs) among college students and the mediating role of psychological symptoms, so as to provide a basis for developing intervention strategies. Methods: From March to April 2023, a convenience cluster sample of 1 801 students from 12 universities in Nanning, Liuzhou, Guilin, Wuzhou of Guangxi completed an online survey. A self designed questionnaire, Adverse Childhood Experiences-International Questionnaire (ACE-IQ) and Symptom Checklist-90 (SCL-90) were used for evaluation tools. Binary Logistic regression, structural equation modeling (SEM) and Bootstrap methods were used to analyze the associations and mediating effects. Results: Overall, 71.2% of college students experienced at least one type of ACE, with emotional neglect (40.3%) and emotional abuse ( 25.2 %) having the highest detection rates. The top three HRBs were unhealthy diet (77.8%), physical inactivity (54.1%), and smoking/alcohol use (18.5%). Logistic regression showed that poor family functioning, abuse, and extra familial violence were each associated with an increased risk of smoking/alcohol use ( OR =1.14, 1.11, 1.18) and deliberate self harm ( OR =1.26, 1.19,1.30) (all P <0.05). Experience of abuse increased the risk of high risk sexual behavior and family dysfunction increaded the risk of physical inactivity, respectively ( OR = 1.07 , 1.04, both P <0.05). Mediation analysis revealed that anxiety ( β =0.20) and depression ( β = 0.09 ) partially mediated the pathway from poor family functioning to deliberate self harm; paranoia ( β =0.02) partially mediated the pathway from abuse to high risk sexual behavior; and obsessive-compulsive symptoms ( β =0.26) and depression ( β =0.10) partially mediated the pathway from extra familial violence to deliberate self harm (all P <0.05). Conclusion Psychological symptoms play a mediating role in the association between ACEs and HRBs, and mental health interventions may reduce the risk of HRBs among college students.

Objective To explore the role of chloride intracellular channel 5 (CLIC5) in the development of lung adenocarcinoma (LUAD). Methods The expression levels of CLIC5 in LUAD samples were determined using bioinformatics and qRT-PCR. The correlation between CLIC5 expression and LUAD progression was revealed through survival analysis and clinicopathological feature analysis. After the knockdown or overexpression of CLIC5 in the LUAD cells, cell proliferation was assessed through colony formation assay, cell apoptosis rate by flow cytometry, and cell migration and invasion by scratch and Transwell invasion assay. The protein levels of vimentin and Snail were detected by Western blot. Results Bioinformatics analysis results showed low CLIC5 expression levels in the LUAD samples. This finding was associated with the aggressive progression of LUAD and the poor survival of patients with LUAD. The qRT-PCR results confirmed that CLIC5 was mainly expressed in the cytoplasm of the LUAD cells. CLIC5 overexpression inhibited cell activity and proliferation and promoted the apoptosis of LUAD cells. The knockdown of CLIC5 exhibited the opposite effect. CLIC5 overexpression inhibited the migration and invasion of LUAD cells, downregulated Bcl-2, vimentin, and Snail and upregulated Bax, cleaved caspase-3 and E-cadherin in the LUAD cells. CLIC5 knockdown exhibited opposite effects. Conclusion CLIC5 overexpression promotes cell apoptosis and inhibits cell proliferation and invasion, thereby inhibiting the development of LUAD. Hence, CLIC5 is a novel biomarker of prognosis and therapeutic target for LUAD.

Background: Visual impairment is increasingly prevalent, underscoring the need for effective prevention strategies. This study investigated the association between cardiovascular health and visual impairment using three progressively developed metrics: Life’s Simple 7 (LS7), a cardiovascular health score developed by the American Heart Association based on 7 components, including physical activity, smoking status, body mass index (BMI), diet, blood glucose, blood pressure, and total cholesterol; Life’s Essential 8(LE8), which adds sleep health as an additional component; and Life’s Crucial 9 (LC9), which further incorporates mental health. We aimed to evaluate whether these expanded metrics provide additional explanatory value and to inform future public health strategies. Objective: To investigate the associations among LS7, LE8, and LC9 cardiovascular health scores and visual impairment in National Health and Nutrition Examination Survey 2013 to 2018, assess the added value of sleep and mental health components, and identify key contributing subcomponents using regression and machine learning methods. Methods: We analyzed data from 9891 participants in the 2013 to 2018 National Health and Nutrition Examination Survey. Multivariable logistic regression, restricted cubic spline modeling, and subgroup analyses were conducted to evaluate the association between cardiovascular health and visual impairment. Machine learning methods, including Random Forest and SHapley Additive exPlanations, a model interpretation approach used to assess feature importance, were applied. The Boruta algorithm, a feature selection method, was used to identify key subcomponents of cardiovascular health. Results: Participants with visual impairment were older, had lower poverty-to-income ratios, and exhibited lower cardiovascular health scores (LS7, LE8, and LC9). Higher cardiovascular health scores were negatively associated with visual impairment. Each one standard deviation increase in LS7, LE8, and LC9 was associated with approximately 8%, 2%, and 3% lower odds of visual impairment, respectively. LS7 showed the strongest negative association, whereas LE8 and LC9 emerged as the most important predictors in the machine learning models. Key subcomponents such as blood glucose, blood pressure, and BMI, as well as mental health status, were strongly associated with visual impairment. Conclusion: Higher cardiovascular health scores were negatively associated with visual impairment. LS7 demonstrated the strongest statistical association, whereas LE8 and LC9 were the most influential features in the machine learning models. Blood glucose, blood pressure, BMI, and mental health status were important correlates of visual impairment. From the perspective of the “prevention and treatment of diseases” in traditional Chinese medicine and the holistic concept, the aforementioned research findings confirm that severe visual impairment is indeed an external manifestation of overall health imbalance (such as organ dysfunction and Qi deficiency and blood stasis). The prevention strategy lies in comprehensively adjusting lifestyle, emotional factors, and metabolic indicators (corresponding to the key factors in the study) to restore the body’s internal balance and achieve prevention before disease arises.

ObjectiveTo explore the dose-effect relationship and safety of high， medium， and low doses of raw Astragali Radix in the modified Huangqi Chifengtang （MHCD） for treating proteinuria in immunoglobulin A （IgA） nephropathy， and to provide scientific evidence for the clinical use of high-dose Astragali Radix in the treatment of proteinuria in IgA nephropathy. MethodsA total of 120 patients with IgA nephropathy， diagnosed with Qi deficiency and blood stasis combined with wind pathogen and heat toxicity， were randomly divided into a control group and three treatment groups. The control group received telmisartan combined with a Chinese medicine placebo， while the treatment groups were given telmisartan combined with MHCD containing different doses of raw Astragali Radix （60， 30， 15 g）. Each group contained 30 patients， and the treatment period was 12 weeks. Changes in 24-hour urinary protein （24 hUTP）， traditional Chinese medicine （TCM） syndrome scores， effective rate， and renal function were observed before and after treatment. Safety was assessed by monitoring liver function and blood routine. ResultsAfter 12 weeks of treatment， 24 hUTP significantly decreased in the high， medium， and low-dose groups， as well as the control group （P<0.05， P<0.01）. The TCM syndrome scores in the high， medium， and low-dose groups also significantly decreased （P<0.01）. Comparisons between groups showed that the 24 hUTP in the high-dose group was significantly lower than in the medium， low-dose， and control groups （P<0.05， P<0.01）， and the 24 hUTP in the medium-dose group was significantly lower than in the control group （P<0.05）. The TCM syndrome scores in the high and medium-dose groups were significantly lower than in the low-dose and control groups （P<0.05， P<0.01）. The total effective rates for proteinuria in the high， medium， low-dose， and control groups were 92.59% （25/27）， 85.19% （23/27）， 60.71% （17/28）， and 57.14% （16/28）， respectively. The effective rates in the high and medium-dose groups were significantly higher than in the low-dose and control groups （χ²=13.185， P<0.05， P<0.01）. The effective rates for TCM syndrome scores in the high， medium， low-dose， and control groups were 88.89% （24/27）， 81.48% （22/27）， 71.43% （20/28）， and 46.43% （13/28）， respectively. The efficacy of TCM syndrome scores in the high and medium-dose groups was significantly higher than in the control group （χ²=14.053， P<0.01）. Compared with pre-treatment values， there was no statistically significant difference in eGFR and serum creatinine in the high and medium-dose groups. However， eGFR significantly decreased in the low-dose and control groups after treatment （P<0.05）， and serum creatinine levels increased significantly in the control group （P<0.05）. No statistically significant differences were observed in urea nitrogen， uric acid， albumin， total cholesterol， triglycerides， liver function， and blood routine before and after treatment in any group. ConclusionThere is a dose-effect relationship in the treatment of IgA nephropathy with high， medium， and low doses of raw Astragali Radix in MHCD. The high-dose group exhibited the best therapeutic effect and good safety profile.

Objective To explore the key environmental factors influencing the distribution and spatially stratified heterogeneity of the suitable habitats of Ranunculus ternatus Thunb.;To predict its potential suitable habitats within China;To provide theoretical guidance for the conservation of its wild resources,artificial introduction and cultivation,and production planning.Methods Based on the MaxEnt model,a distribution prediction model was established using 148 selected species distribution information and 28 environmental factor data.The ENMeval package in R language was used to optimize the model parameters.Quantitative analysis(q-value ranking)of environmental factors affecting spatial differentiation in potential suitable areas using geographic detector factor detection and interaction detection.Results After optimization,the accuracy of model was improved and the degree of overfitting was reduced.The average value of the area under the curve(AUC)was 0.940.The contribution rate of environmental factors and the jackknife test showed that the key environmental factors influencing the distribution of Ranunculus ternatus Thunb.mainly included the precipitation in March,the precipitation in November,elevation,the solar radiation intensity in October,the solar radiation intensity in December,and the average temperature in January.The results of raster calculation showed that the area of highly suitable habitats of Ranunculus ternatus Thunb.was approximately 4.105×104 km2,the area of moderately suitable habitats was approximately 4.243×105 km2,and the area of lowly suitable habitats was approximately 6.385×105 km2,accounting for about 3.8%,38.4%and 57.8%of the total area of suitable habitats,respectively.Conclusion This study can provide a basis for the conservation and sustainabele utilization of the wild resources of Ranunculus ternatus Thunb.

Objective:To design a special device for limiting position of boat-shape headrest of breast brackets,and explore its application value in radiotherapy post-radical mastectomy.Methods:1 cm plex glass plate was cut as T-shape base plate,and the top of the T-shape base plate was drilled to obtain four holes for limiting position.A 2 mm acrylic plate was cut as horse hoof-shape and strip-shape pieces for limiting position,which were adhered respectively to the top and bottom of the T-shape base plate to form a boat-shape headrest with groove structure for limiting position.Self-made pillars with limiting position were used to connect the T-shape base plate with the backplane of breast bracket,so as to realize rigid connection between conventional boat-shape headrest and breast bracket.A total of 60 female patients who received radiotherapy after radical mastectomy for breast cancer at Changzhou Cancer Hospital during January and December 2023 were selected.They were randomly divided into an observation group and a control group(with 30 cases in each group)by using a random number table.The observation group adopted breast bracket combined with self-made boat-shape headrest for limiting position device+boat-shape headrest to conduct fixation,while the control group adopted rotundity headrest of breast bracket to conduct fixation.Both groups adopted hybrid intensity-modulated radiotherapy(IMRT)technique to formulate plan,and the exposure dose was 50Gy/25 fractions,and patients received radiotherapy as 5 times per week,and the treatment course was 5 weeks.Cone-beam computed tomography(CBCT)was used to conduct verification for position before the first 3 treatments.During the treatment duration between the 2nd and the 5th week,CBCT verification for position was conducted in each week.The positioning error and positioning time on left-right direction(x),head-foot direction(y)and abdomen-back direction(z)at each time between two groups were compared.Results:The positioning errors on x,y,z direction of three dimension at each time in observation group were lower than those in control group,and the differences were significant(Z=-7.666,-11,672,-6.311,P<0.05).The average positioning time at first time and the total average positioning time were respectively(222.4±12.9)s and(212.2±15.1)s in observation group,all of which were lower than(262.9±12.5)s and(254.0±15.7)s in control group,and the differences were significant(t=12.364,27.783,P<0.05).Conclusion:The combination of breast bracket and self-made device with boat-shape for limiting position can increase precision and efficiency of positioning,and improve comfort through individually chooses the type of boat-shape headrest,and set the position of headrest,which has favorable clinically application value.

Objective To explore the construction of a prediction model for hypertensive nephropathy(HN)based on machine learning.Methods A total of 318 hypertensive patients who visited Taizhou First People's Hospital from April 2023 to March 2024 were included and divided into a training set and a validation set at a ratio of 7:3.Least absolute shrinkage and selection operator(LASSO)algorithm was used to select clinical features from the training set,and 12 clinically significant variables were obtained from 18 clinical variables.Based on the Python 3.10 programming language,the training set was used to train the model.Taking the 12 clinically significant indicators were used as input variables,and whether the occurrence of HN was used as the outcome variable.Three machine learning algorithms,namely logistic regression,support vector machine,and artificial neural network,were used to construct prediction models.The test set was used for internal validation of three models.The performance of the models was compared through accuracy,area under the receiver operating characteristic curve,recall rate,precision,and F1.Results Among 12 clinically significant variables screened by the LASSO algorithm,cystatin C and urine protein qualitative were found to be the most predictive.The accuracy,area under the receiver operating characteristic curve,recall rate,precision,and F1 values of the Logistic regression,support vector machine,and artificial neural network prediction models constructed by machine learning was 0.94,0.96,0.95,0.87,0.91;0.94,0.97,0.96,0.86,0.91;0.91,0.94,0.93,0.80,0.86,respectively.Conclusion Logistic regression,support vector machine,and artificial neural network based on machine learning all have good predictive effects on the progression of hypertensive patients to HN.Among them,the predictive effects of Logistic regression and support vector machine are similar and better than artificial neural network prediction model.

Microvascular aging is a complex physiological process associated with advancing age.The aging and dysfunction of microvascular endothelial cells serve as critical markers of this phenomenon, characterized by increased expression of inflammatory factors, heightened oxidative stress, and structural damage to the microvasculature.This process is closely linked to age-related diseases such as diabetes in the elderly and cardiovascular disorders, significantly impacting the quality of life and overall health of older adults.Biomarkers, including the reactive hyperemia index, circulating endothelial progenitor cells, and extracellular microvesicles, play a vital role in assessing microvascular health and predicting cardiovascular events.Interventions targeting microvascular aging, which encompass lifestyle modifications, pharmacotherapy, and strategies aimed at preserving microvascular structure and endothelial cell function, hold promise for delaying or reversing the process of microvascular aging.

Objective:To analyze the results of anonymous review and influencing factors of master's degree theses in Chinese Center for Disease Control and Prevention (CDC) from 2018 to 2023, and provide a reference for improving the quality of graduate education.Methods:Using the anonymous review data of 766 master's degree theses submitted by CDC from 2018 to 2023, a statistical analysis was performed on the overall evaluation and four evaluation indicators using the Excel and SPSS 27.0. Potential factors influencing thesis quality were also explored.Results:The overall evaluation scores of the 766 master's degree theses submitted by CDC from 2018 to 2023 were generally rated as "good", with a mean score of (16.58±1.95). The mean scores of the four indicators were all rated as "good" and above. The scores were in the order of thesis topics (17.32±1.81), basic knowledge and research ability (16.51±2.10), innovation and thesis value (16.21±1.96), and thesis standardization (16.08±2.20). The overall evaluation score of students recommended and exempted from entrance exams (17.14±1.54) was higher than that of students admitted through national entrance exams (16.54±1.96). Specifically, significant differences were observed in basic knowledge and research ability and thesis standardization ( P<0.05). The overall evaluation score of academic degree theses (16.81±1.88) was higher than professional degree theses (16.32±1.99). The overall evaluation score of degree theses on basic research (16.99±1.86) was significantly higher than that of theses on applied research (16.33±1.96) and comprehensive research (16.27±1.91) ( P<0.05). The overall evaluation score of theses supported by national funds (17.01±1.77) was significantly higher than that of theses funded by provincial and ministerial projects (16.67±1.96) and other projects (16.18±1.99) ( P<0.05). Conclusions:During 2018-2023, the overall evaluation scores of master's degree theses of CDC were generally rated as "good". The quality of theses and graduate education can be enhanced by improving the quality of sources of students, expanding basic research, applying for high-level fund projects, and establishing effective process management mechanism.