ObjectiveTo establish a model of dry eye with lung Yin deficiency syndrome in mice. MethodsA total of 40 SPF C57BL/6J mice were assigned via the random number table method into 5 groups （n=8）： Normal control， model control， and high-， medium-， and low-dose （11.7， 5.85， and 2.925 g·kg^-1， respectively） Yangyin Qingfeitang. Mice in the normal control group were fed normally without any intervention. Mice in Yangyin Qingfeitang group and model control group were treated with 0.2% benzalkonium chloride eye drops （5 μL） twice a day and fed in a controlled drying system in a dry environment for 28 days. At the same time， the mice were administrated with thyroxine tablet solution by gavage and placed in a glass fumigation tank （SO₂ concentration： 0.5 g·m^-3） for 14 days. After 4 weeks， mice in Yangyin Qingfeitang groups were treated with Yangyin Qingfeitang by gavage and those in the normal control group and model control group were administrated with deionized water at 0.01 mL·g^-1. The body mass， anal temperature， four examination information （claw and nail appearance）， basic tear secretion test， tear film rupture time， corneal fluorescein staining， and lacrimal gland HE staining were compared among groups. Compound Yangyin Qingfeitang granules were used to measure the syndrome to verify the success of modeling. ResultsAfter 28 days of continuous modeling， compared with the normal control group， the model group exhibited listless and emaciated status， coughing， drowsiness， dry and dull hair， dry and hard stool， reduced food intake and water intake， red lip circumference， red tongue with reduced fluid， dry nose and teeth， red claws and nails， body mass gain， decreased anal mild tear secretion （P<0.05）， and shortened tear film rupture time （P<0.05）. After 28 days of modeling， the mice showed large corneal fluorescein staining range， severe corneal injury， and increased content of interleukin （IL）-18， IL-β， and tumor necrosis factor （TNF）-α in lacrimal gland， compared with those in the normal control group （P<0.05）. After the treatment with Yangyin Qingfeitang， the mice had good drinking and eating conditions， with lighter redness of the tongue， moist nose， moist and shiny teeth， and the claw and nail color close to that in the normal group. Compared with the model control group， Yangyin Qingfeitang groups showed increases in body mass and anal temperature （P<0.05）， tear secretion （P<0.05）， and tear film rupture time （P<0.05）， narrowed range of corneal fluorescein staining， and declined levels of IL-18， IL-β， and TNF-α in lacrimal glands （P<0.01）. The high-dose group had the best effect， with the indicators close to the levels in the normal control group. ConclusionThe animal model of dry eye with lung Yin deficiency syndrome can be established by culture in a controlled drying system， treatment with benzalkonium chloride eye drops for 28 days， and administration of thyroxine tablet solution combined with SO₂ fumigation for 14 days.

ObjectiveTo investigate the mechanisms of Runmu Dihuang decoction （RMDHD） in treating perimenopausal dry eye with liver-kidney Yin deficiency syndrome based on the silent information regulator 3 （SIRT3）/hypoxia-inducible factor-1α （HIF-1α）/nuclear factor-κB （NF-κB） signaling pathway. MethodsSixty female Sprague-Dawley rats were randomly divided into six groups （n=10 per group）： Sham operation group， model group， sodium hyaluronate eye drop group， and low-， medium-， and high-dose RMDHD groups （5.625， 11.25， 22.50 g·kg^-1）. Except for the sham operation group， all rats underwent bilateral ovariectomy and were administered 0.1% benzalkonium chloride eye drops combined with long-term chronic irritation to establish a perimenopausal dry eye model with liver-kidney Yin deficiency syndrome. Drug administration began in the 11th week after modeling and continued for 21 days. General conditions， screen-grip test scores， tear secretion volume， tear film breakup time （TFBUT）， and corneal fluorescein staining were recorded. Serum levels of reactive oxygen species （ROS）， follicle-stimulating hormone （FSH）， estradiol （E₂）， and progesterone （PROG） were measured by enzyme-linked immunosorbent assay （ELISA）. Pathological changes in the lacrimal glands， corneas， and uteri were observed using hematoxylin-eosin （HE） staining. Protein expression levels of SIRT3， HIF-1α， phosphorylated NF-κB p65 （p-NF-κB p65）， and total NF-κB p65 in the lacrimal glands were detected by Western blot. The expression of inflammatory cytokines interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α） in the lacrimal glands was assessed by immunohistochemistry （IHC）. ResultsAfter model establishment， no significant differences were observed among the groups except the sham operation group. Compared with the sham operation group， the other groups exhibited slowed movement， dull responses， increased irritability， reduced body weight， elevated rectal temperature， decreased screen-grip test scores， reduced tear secretion， and significantly shortened TFBUT （P<0.05）. After treatment， compared with the model group， the sodium hyaluronate eye drop group and all RMDHD groups showed improved general conditions， significantly increased tear secretion （P<0.05）， prolonged TFBUT （P<0.05）， and elevated screen-grip test scores （P<0.05）. Serum ROS and FSH levels were significantly decreased， while E₂ and PROG levels were significantly increased （P<0.05）. Pathological damage to the cornea， lacrimal glands， and uterus was ameliorated. In addition， protein expression levels of SIRT3 and HIF-1α in the lacrimal glands were significantly upregulated （P<0.05）， whereas the expression of p-NF-κB p65， IL-1β， and TNF-α was significantly downregulated （P<0.05）. ConclusionRMDHD increases tear secretion and TFBUT， improves lacrimal gland and corneal injury， and alleviates dry eye symptoms in a perimenopausal dry eye rat model with liver-kidney Yin deficiency syndrome. The underlying mechanism may be related to regulation of the SIRT3/HIF-1α/NF-κB signaling pathway， inhibition of oxidative stress and inflammatory responses， and reduction of ocular surface tissue damage.

Objective To explore the analytical methods combining multicolor flow cytometry with bioinformatics techniques for analyzing myeloid cells in the gastrocnemius of mice after muscle injury, and provide an experimental foundation for the study of muscle regeneration mechanisms. Methods Immune cells were collected from single-cell suspensions of mouse gastrocnemius using multicolor flow cytometry, and data were analyzed by the t-distributed stochastic neighbor embedding（t-SNE）algorithm supplemented by manual gating techniques. The tSNE algorithm was used in multicolor flow cytometry to guide the setting of manual gates, optimize the identification and classification of cell populations. Results Compared to the sham surgery group, the proportions of dendritic cells, granulocytes, macrophages, and monocytes at the site of muscle injury in the model group significantly increased, with the increasing in monocytes being particularly notable. Conclusion The application of the tSNE algorithm combined with manual gating techniques in multicolor flow cytometry demonstrated that this method could effectively guide the setting of manual gates and enhance the efficiency of distinguishing immune cell types. Through this combined technology, the function and subtypes of myeloid cells in the mouse gastrocnemius could be analyzed more accurately.

Objective To systematically evaluate the performance and methodological quality of the risk prediction models for urinary incontinence after radical prostatectomy,so as to provide a reference for selecting the appropriate risk prediction tool.Methods A systematic search was conducted in PubMed,Web of Science,Cochrane Library,CINAHL,EMBASE,CNKI,Wanfang,VIP,and Chinese biomedical literature database from inception to Jan.23,2024.Two researchers independently conducted literature screening and data extraction,and the prediction model risk of bias assessment tool(PROBAST)was applied to assess the risk of bias and applicability of the included studies.MedCalc software was used to perform a meta-analysis of the area under curve(AUC)of the validation groups using the random effect model,and the publication bias and sensitivity analysis were also performed.Results A total of 8 studies were included,with a combined sample size of 7 216 cases.Six models reported the AUC values,and 7 models reported calibration.The applicability of 2 studies was acceptable,while 6 were poor.The most commonly used type of prediction model was logistic regression.After excluding models with extreme AUC values,the random-effects meta-analysis result was 0.840(95%confidence interval 0.786 to 0.895),with no heterogeneity(I2=0%,P=0.737).The bias risk was high in all 8 studies,mainly due to retrospective cohort data,transformation of continuous variables into binary variables,unaddressed missing data,selection of predictors based on univariate analysis,incomplete report of the model discrimination and calibration,and lack of external validation.Egger test result indicated no significant publication bias.Conclusion The development and validation process of the existing risk prediction models for urinary incontinence after radical prostatectomy is still imperfect.Future research should construct prediction models based on multicenter and large-sample data,strengthen the clinical applicability assessment of the models,and strictly follow the reporting standards and procedures,so as to establish high-quality risk prediction models for clinical practice.

Objective To investigate the epidemiological characteristics of knee osteoarthritis(KOA)among military personnel in plateau regions and to explore its risk factors.Methods From July 2023 to July 2024,a multi-stage stratified cluster random sampling method was employed to survey the prevalence of KOA and related risk factors among military personnel in the northwest plateau regions of China,covering different altitudes(1500-4500 m)and geographical areas(Gansu,Qinghai,Tibet,and Xinjiang).All study subjects were divided into KOA and non-KOA groups based on the presence or absence of KOA.Variables including age,gender,body mass index(BMI),education level,smoking status,military rank,military branch,service duration,regional altitude,annual average temperature,training duration,perceived training intensity,and history of knee injury were selected for univariate analyses between groups.Variables with P<0.05 in the univariate analyses were included in the binary multifactor logistic regression to identify risk factors for KOA.Results A total of 3000 questionnaires were distributed,and 2854 valid questionnaires were collected,with a response rate of 95.13%.The sample included 2584 males and 270 females,with 510 cases of KOA,resulting in a prevalence rate of 17.9%.Univariate analysis showed that there were statistically significant differences between KOA and non-KOA groups in terms of age,BMI,smoking status,military rank,military branch,service duration,regional altitude,annual average temperature,training duration,perceived training intensity,and history of knee injury(P<0.05).However,no significant differences were found in gender and education level(P>0.05).Binary multivariate logistic regression analysis revealed that older age(OR=1.382,P=0.017),higher BMI(P<0.01),smoking(OR=1.929,P<0.01),higher military rank(OR=1.485,P=0.007),being a member of the Armed Police(P<0.01),longer service duration(P<0.01),higher regional altitude(OR=1.459,P<0.01),lower annual average temperature(OR=1.188,P=0.001),longer training duration(P<0.01),higher perceived training intensity(OR=2.450,P<0.01),and history of knee injury(OR=2.768,P=0.002)were independent risk factors for KOA.Conclusions Older age,overweight/obesity,smoking,higher military rank,being a member of the Armed Police,longer service duration,higher altitude,cold climate,longer training duration,higher training intensity,and history of knee injury are independent risk factors for KOA among military personnel in the northwest plateau regions of China.

Objective To introduce how to import and analyze data using the Research Electronic Data Capture(REDCap)system,taking a multi-center randomized controlled clinical research of total knee arthroplasty as an example.Methods Various tools within the REDCap system,including data import tools,data export functions,reports and statistics,project dashboards,and coding manuals,were used to systematically process and analyze the multi-center randomized controlled clinical trial data for total knee arthroplasty.Initially,electronically collected clinical data were adjusted and standardized,then uploaded in bulk to the system using the REDCap data import tool.Subsequently,the data were organized through REDCap's data export feature,and basic descriptive statistical analysis was performed using its reporting and statistical functions to ensure data quality and completeness.Results An electronic data collection and management platform for clinical research on knee osteoarthritis wase successfully created by the REDCap system.The platform enabled real-time data collection from multiple centers,and ensured data accuracy and consistency through built-in data management and quality control mechanisms.With the statistical analysis features of REDCap,the research team could monitor the progress of data in real time,conduct effective quality assessments,and perform dynamic analysis for further in-depth statistical evaluations.Conclusion The REDCap system can be used not only to build a new clinical research project,but also to import and analyze data that has been previously digitized of ongoing clinical researches into the system,which improved the scientificity of data management and research efficiency.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

In recent years, the rapid development of transportation and sports industries, coupled with the accelerated population aging in China, has led to a steady increase in the incidence of articular cartilage injuries, wear, and degenerative changes. Currently, the clinical treatment options for cartilage defects primarily include conservative therapies and surgical interventions, both of which have certain limitations. Cartilage tissue engineering (CTE), as a novel technology, provides an infinite prospect for cartilage regeneration and repair. Because of the abilities of scaffolds to mimic the natural cartilage structure, exhibit excellent biocompatibility and biomimetic mechanical properties, and promote cell adhesion and proliferation, scaffolds are considered effective delivery systems for growth factors, genes, and drugs. This review summarizes the clinical treatments for cartilage defects and their limitations, discusses the materials and preparation techniques of scaffolds used in CTE, with a particular focus on drug-loaded scaffold delivery systems in cartilage repair and regeneration, and offers a perspective on the future application of drug-loaded CTE. The aim is to provide theoretical guidance and new approaches for the repair of cartilage defects.
Tissue Engineering/methods* ; Humans ; Tissue Scaffolds ; Drug Delivery Systems/methods* ; Regeneration ; Cartilage, Articular/physiology* ; Animals ; Biocompatible Materials

Objective: To investigate the interactive effects of prenatal and postnatal factors on overweight and obesity in preschool children, so as to provide evidence for subsequent planning of prevention strategies and intervention measures. Methods: Between October 2020 and June 2021, a convenience cluster sample of 918 preschool children from four kindergartens in Xuzhou urban area underwent questionnaire surveys and physical examinations. The Chi square test was used to compare intergroup differences in overweight and obesity prevalence. Multivariate Logistic regression analysis was employed to investigate the effects of prenatal and postnatal factors, as well as their interactions, on overweight and obesity in preschool children. Results: The prevalence of overweight and obesity among preschool children was 30.8%, with boys exhibiting a higher rate (37.0%) than girls (24.8%). Statistically significant differences in overweight and obesity prevalence were observed across age groups, genders, paternal pre pregnancy body mass index (BMI), paternal educational level, delivery mode, antibiotic use within the six months after birth, and rapid weight gain during infancy ( χ 2=5.08-17.67, all P <0.05). After adjusting for confounding factors such as age, gender, the only child, parental educational level and parental average monthly income, interaction analysis revealed that when the father was overweight or obese before conception, children delivered by caesarean section had an increased risk of overweight or obesity ( OR= 2.05 , 95%CI =1.02-3.39), and children with rapid weight gain during infancy also had an increased risk ( OR=2.05, 95%CI = 1.08 -3.88) (both P <0.05). Gender stratified analysis revealed that the interaction between paternal pre pregnancy BMI and mode of delivery on overweight and obesity was more pronounced among girls ( OR=4.00, 95%CI=1.51-10.58, P <0.05). While the interaction between the father s pre pregnancy BMI and rapid weight gain during infancy was more pronounced in boys ( OR= 2.85 , 95%CI=1.14-7.08, P <0.05). No significant interactions between prenatal and postnatal factors on overweight and obesity in preschool children were observed (all P >0.05). Conclusions Multiple prenatal and postnatal factors influence overweight and obesity in preschool children. Attention should be paid to mode of delivery and infant weight gain, particularly when the father is overweight or obese, to reduce the risk of overweight and obesity in preschool children.

Objective:To investigate the relationship between lipid levels and cognitive impairment in the elderly Chinese population using prospective cohort data.Methods:Based on the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) cohort, this study included 24 380 individuals aged ≥60 years who participated in the cognitive function follow-up survey from 2018 to 2019. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), with cognitive impairment defined according to different educational levels: MMSE ≤17 for illiterate individuals, MMSE ≤20 for those with primary education and MMSE ≤24 for those with secondary education or above. Multivariable linear regression and logistic regression models were employed to examine the associations between six baseline lipid indicators and cognitive scores, as well as cognitive impairment. Additionally, restricted cubic splines were used to explore the exposure-dose relationship between lipid levels and cognitive function.Results:The study population had a median follow-up time of 11.6 years, with a baseline age of (59.7±6.8) years. Among the participants, 9 510 (39.0%) were males, and the mean MMSE score was 24.7±6.8. A total of 3 887 individuals (15.9%) were identified as cognitively impaired. The results of multivariable linear regression and logistic regression indicated that total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) levels were not only significantly positively associated with cognitive scores but also significantly associated with a lower risk of cognitive impairment. Each 1 mmol/L increase in these lipid levels corresponded to β values (95% CI) of 0.267 (0.173-0.361), 0.385(0.271-0.499) and 0.331(0.231-0.431), respectively. Each 1 mmol/L increase in these lipid levels corresponded to odds ratio ( OR) (95% CI) values of 0.915 (0.876-0.956), 0.875 (0.830-0.923) and 0.886 (0.848-0.927), respectively. The dose-response curve demonstrated that the negative association was primarily observed within the guideline-recommended optimal lipid level range. Specifically, when LDL-C was less than 3.4 mmol/L and non-HDL-C was less than 4.1 mmol/L, the corresponding OR (95% CI) values were 0.859 (0.796-0.926) and 0.876 (0.818-0.939). Conclusion:Lipid levels exhibit a certain linear negative association with cognitive impairment in elderly Chinese adults, with LDL-C and non-HDL-C demonstrating a stronger effect, particularly within the guideline-recommended optimal range.