Objective: To understand the awareness of chikungunya fever knowledge and its related factors among medical college students in Baise City, so as to provide a scientific basis to offer relevant courses and special education. Methods: From July to August 2025, 7 286 enrolled medical students were selected by a sampling method from a medical college in Baise City to participate in the questionnaire survey. The questionnaire covered epidemiological characteristics, clinical symptoms, and prevention/control knowledge of chikungunya fever. Statistical analyses including the Chi quare test and multivariate Logistic regression models were performed. Results: The overall awareness rate of chikungunya fever knowledge among the medical students was 18.89%. Among the knowledge items, the awareness rate of "the high incidence season" was the highest (84.05%), while that of "the infectious period" was the lowest (17.80%). Multivariate Logistic regression analysis showed that medical students with female (a OR= 1.37 , 95%CI =1.20- 1.57 ), the age for over 25 years old (a OR=1.76, 95%CI =1.05-2.93), whose father had a middle school educational level (a OR=1.18, 95%CI =1.05-1.31), and majored in preventive medicine (a OR=1.54, 95%CI =1.10-1.67) had relatively higher awareness rates of chikungunya fever knowledge (all P <0.05). In contrast, students of Zhuang ethnicity (a OR= 0.87 , 95%CI =0.76-0.98) and majoring in nursing (a OR=0.74, 95%CI =0.61-0.91) or pharmacy (a OR=0.70, 95%CI =0.52-0.95) had relatively lower awareness rates (all P <0.05). Conclusions The awareness rate of chikungunya fever related knowledge among medical college students in Baise City is relatively low. Schools should take targeted publicity measures to improve medical students awareness.

ObjectiveTo investigate the distribution characteristics and correlation of paired oral and esophageal microbiota in patients with esophageal squamous cell carcinoma （ESCC）. MethodsA total of 46 pathologically confirmed ESCC patients were enrolled， and oral swabs and cancerous tissue samples were collected. The microbial composition was analyzed using 16S rRNA gene sequencing， and bioinformatics methods were employed to compare the microbiota diversity， compositional differences， and correlations between the two sites. ResultsThe Alpha diversity of the oral microbiota in ESCC patients was significantly higher than that of their esophageal microbiota， though the overall community structure was similar between the two sites. LEfSe analysis revealed that Spirochaetes， Prevotella， Catonella， Enterococcus， Fusobacterium periodonticum， Veillonella parvula， Capnocytophaga sputigena， and Neisseria subflava were significantly enriched in ESCC tumor tissues. In contrast， Actinobacteria， Proteobacteria， Streptococcus， Neisseria， Haemophilus， Streptococcus mitis， Haemophilus parainfluenzae， Porphyromonas gingivalis， Haemophilus haemolyticus， and Prevotella tannerae were significantly enriched in the oral cavity. Correlation analysis demonstrated significant associations between the two sites at taxonomic levels such as Spirochaetes， Treponema， Granulicatella elegans， Neisseria macacae， Treponema amylovorum， Fusobacterium periodonticum， and Neisseria meningitidis （P<0.05）. ConclusionThe oral and esophageal microbiota in ESCC patients exhibit both distinct differences and similarities. Oral microbiota may influence the esophageal microenvironment through migration or local immune modulation.

ObjectiveTo construct and validate a predictive model for hepatic encephalopathy （HE） in patients with end-stage liver disease （ESLD） by combining key indicators such as cytokines and Model for End-Stage Liver Disease （MELD） score， and to provide evidence-based support for the early identification of high-risk populations and the optimization of intervention strategies in clinical practice. MethodsA retrospective analysis was performed for 2 167 patients with ESLD who were admitted to The Third People’s Hospital of Kunming from January 2022 to December 2024， the patients were divided into a training set with 1 517 patients and a validation set with 650 patients at a ratio of 7∶3 using the stratified random sampling method. A univariate analysis and a least absolute shrinkage and selection operator （LASSO） regression analysis were performed for the training set to identify potential influencing variables， and then a binary Logistic regression model was constructed to investigate the independent influencing factors for HE in ESLD patients. A nomogram prediction model was established based on this regression model， and the Hosmer-Lemeshow goodness-of-fit test was performed. The receiver operating characteristic （ROC） curve， calibration curves， decision curve analysis， and clinical impact curve were used to comprehensively evaluate the degree of fit， accuracy， consistency， and clinical practicability of the predictive model derived from the training set. The Mann-Whitney U test was used for comparison of non-normally distributed quantitative data between two groups. The chi-square test or Fisher exact test was used for comparison of categorical data between two groups. ResultsThe univariate analysis showed that there were significant differences between the study group and the control group in age， sex， blood ammonia， lymphocytes， hemoglobin， platelet count， prothrombin time， fibrinogen， international normalized ratio， total bilirubin， aspartate aminotransferase， total protein， albumin， prealbumin， alkaline phosphatase， cholinesterase， total bile acid， triglyceride， total cholesterol， high-density lipoprotein， low-density lipoprotein， blood glucose， CD3⁺ T cells， CD4⁺ T cells， CD8⁺ T cells， high-sensitivity C-reactive protein， carcinoembryonic antigen， triiodothyronine， thyroxine， free triiodothyronine， free thyroxine， interleukin-1β， interleukin-5， interleukin-6， interleukin-8， interleukin-12p70， interleukin-17， interferon-γ， and MELD score （all P<0.05）. The LASSO regression analysis identified nine variables of age， blood ammonia， albumin， prealbumin， cholinesterase， total cholesterol， thyroxine， interleukin-17， and MELD score， and the binary Logistic regression analysis showed that blood ammonia， interleukin-17， and MELD score were independent risk factors for HE in ESLD patients， while age and thyroxine were independent protective factors （all P<0.05）. A nomogram model was constructed based on these five variables. The Hosmer-Lemeshow goodness-of-fit test in the training set showed a good degree of fit （P=0.207）， with a McFadden’s pseudo-R² of 0.184， suggesting that the model had acceptable explanatory power； the Hosmer-Lemeshow goodness-of-fit test in the internal validation set further confirmed the calibration stability of the model （P=0.067）， suggesting that the model had a good degree of fit in independent data. The model had an area under the ROC curve of 0.784 in the validation set， with a sensitivity of 0.710 and a specificity of 0.752. The mean absolute error of the calibration curve was 0.067， and decision curve analysis and clinical impact curve showed that the nomogram model had positive net benefit and good clinical practicability. ConclusionThe nomogram model constructed based on age， blood ammonia， thyroxine， interleukin-17， and MELD score for predicting HE in patients with ESLD has a good degree of fit， high accuracy and consistency， and excellent clinical practicability.

Xiaoji Yinzi is one of the classic prescriptions for treating urinary diseases， originated from the Yan's Prescriptions to Aid the Living （Yan Shi Ji Sheng Fang） written by YAN Yonghe in the Song dynasty. Xiaoji Yinzi is composed of Rehmanniae Radix， Cirsii Herba， Talcum， Akebiae Caulis， Typhae Pollen， Nelumbinis Rhizomatis Nodus， Lophatheri Herba， Angelicae Sinensis Radix， Gardeniae Fructus， and Glycyrrhizae Radix et Rhizoma and has the effects of cooling blood and stopping bleeding， draining water and relieving stranguria. The medical experts of later generations have inherited the original prescription recorded in the Yan's Prescriptions to Aid the Living， while dispute has emerged during the inheritance of this prescription. In this study， the method of bibliometrics was employed to review and analyze the ancient documents and modern clinical studies involving Xiaoji Yinzi. The results showed that Xiaoji Yinzi has two dosage forms： powder and decoction. According to the measurement system in the Song Dynasty， the modern doses of hers in Xiaoji Yinzi were transformed. In the prepration of Xiaoji Yinzi powder， 149.2 g of Rehmanniae Radix and 20.65 g each of Cirsii Herba， Talcum， Akebiae Caulis， stir-fried Typhae Pollen， Nelumbinis Rhizomatis Nodus， Lophatheri Herba， wine-processed Angelicae Sinensis Radix， stir-fried Gardeniae Fructus， and stir-fried Glycyrrhizae Radix et Rhizoma are grounded into fine powder with the particle size of 4-10 meshes and a decocted with 450 mL water to reach a volume of 240 mL. After removal of the residue， the decoction was taken warm before meals， 3 times a day （i.e.， 7.77 g Rehmanniae Radix and 0.97 g each of the other herbs each time）. In the preparation of Xiaoji Yinzi decoction， 20.65 g each of the above 10 herbs are used， with stir-fried Typhae Pollen， wine-processed Angelica Sinensis Radix， stir-fired Gardeniae Fructus， stir-fired Glycyrrhizae Radix et Rhizoma， and raw materials of other herbs. Xiaoji Yinzi is specialized in treating hematuresis and blood stranguria due to heat accumulation in lower energizer， which causes injury of the blood collaterals of gallbladder and dysfunction of Qi transformation. In modern clinical practice， Xiaoji Yinzi is specifically used for treating urinary diseases and can be expanded to treat diseases of the cardiovascular system and other systems according to pathogenesis. The comprehensive research on the key information could provide a scientific reference for the future development of Xiaoji Yinzi.

BACKGROUND: It is inaccurate to reflect the level of dust exposure through working years. Furthermore, identifying a predictive indicator for lung function decline is significant for coal miners. The study aimed to explored whether club cell secretory protein (CC16) levels can reflect early lung function changes. METHODS: The cumulative respiratory dust exposure (CDE) levels of 1,461 coal miners were retrospectively assessed by constructed a job-exposure matrix to replace working years. Important factors affecting lung function and CC16 were selected by establishing random forest models. Subsequently, the potential of CC16 to reflect lung injury was explored from multiple perspectives. First, restricted cubic spline (RCS) models were used to compare the trends of changes in lung function indicators and plasma CC16 levels after dust exposure. Then mediating analysis was performed to investigate the role of CC16 in the association between dust exposure and lung function decline. Finally, the association between baseline CC16 levels and follow-up lung function was explored. RESULTS: The median CDE were 35.13 mg/m³-years. RCS models revealed a rapid decline in forced vital capacity (FVC), forced expiratory volume in the first second (FEV₁), and their percentages of predicted values when CDE exceeded 25 mg/m³-years. The dust exposure level (<5 mg/m³-years) causing significant changes in CC16 was much lower than the level (25 mg/m³-years) that caused changes in lung function indicators. CC16 mediated 11.1% to 26.0% of dust-related lung function decline. Additionally, workers with low baseline CC16 levels experienced greater reductions in lung function in the future. CONCLUSIONS CC16 levels are more sensitive than lung indicators in reflecting early lung function injury and plays mediating role in lung function decline induced by dust exposure. Low baseline CC16 levels predict poor future lung function.
Uteroglobin/blood* ; Humans ; Dust/analysis* ; Occupational Exposure/analysis* ; Male ; Middle Aged ; Adult ; Retrospective Studies ; Lung Injury/chemically induced* ; Coal Mining ; Biomarkers/blood* ; China/epidemiology* ; Air Pollutants, Occupational ; Female

Objective:In order to advance the upgrade of the Traditional Chinese Medicine(TCM)"preventive healthcare"project and develop high-quality TCM preventive healthcare services.Methods:Utilizing stakeholder theory to identify the stakeholders of current TCM health preservation services,and analyze the core stakeholders'interest relationships,influence,connection strength,policy impact,and the recognition degree for TCM"preventive healthcare".Results:It describes the economic connotations and current development status of TCM"preventive healthcare"services,where the core stakeholders include government and functional departments,medical insurance departments,medical institutions,medical and health technicians,and patient groups.By comparing the interest descriptions of core stakeholders,the existing problems are analyzed.Conclusion:The government should improve policy management and promote departmental collaboration.Medical insurance departments need to strengthen policy coordination and product development.Medical institutions should establish a multi-level service system,optimize the service model,improve the incentive mechanism for medical and health technicians,and enhance service capabilities.The patient group should enhance health awareness and optimize the service experience.Through the management strategy driven by interests,it can promote the high-quality development of TCM preventive treatment services and meet the health needs of the residents.

Background Exposure to polycyclic aromatic hydrocarbons (PAHs) is associated with the development of metabolic syndrome (MS). However, the role of amino acids in PAH-induced MS remains unclear. Objective To explore the impact of PAHs exposure on the incidence of MS among coking workers, and to determine potential modifying effect of amino acid on this relationship. Methods Unmatched nested case-control design was adopted and the baseline surveys of coking workers were conducted in two plants in Taiyuan in 2017 and 2019, followed by a 4-year follow-up. The cohort comprised 667 coking workers. A total of 362 participants were included in the study, with 84 newly diagnosed cases of MS identified as the case group and 278 as the control group. Urinary levels of 11 PAH metabolites and plasma levels of 17 amino acids were measured by ultrasensitive performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Logistic regression was used to estimate the association between individual PAH metabolites and MS. Stratified by the median concentration of amino acids, Bayesian kernel machine regression (BKMR) model was employed to assess the mixed effects of PAHs on MS. Due to the skewed data distribution, all PAH metabolites and amino acids in the analysis were converted by natural logarithm ln (expressed as lnv). Results The median age of the 362 participants was 37 years, and 83.2% were male. Compared to the control group, the case group exhibited higher concentrations of urinary 2-hydroxyphenanthrene (2-OHPhe), 9-hydroxyphenanthrene (9-OHPhe), and hydroxyphenanthrene (OHPhe) (P=0.005, P=0.049, and P=0.004, respectively), as well as elevated levels of plasma branched chain amino acid (BCAA) and aromatic amino acid (AAA) (P<0.05). After being adjusted for confounding factors, for every unit increase in lnv_2-OHPhe in urine, the OR (95%CI) of MS was 1.57 (1.11, 2.26), and for every unit increase in lnv_OHPhe, the OR (95%CI) of MS was 1.82 (1.16, 2.90). Tyrosine, leucine, and AAA all presented a significant nonlinear correlation with MS. At low levels, tyrosine, leucine, and AAA did not significantly increase the risk of MS, but at high levels, they increased the risk of MS. In the low amino acid concentration group, as well as in the low BCAA and low AAA concentration groups, it was found that compared to the PAH metabolite levels at the 50th percentile (P₅₀), the log-odds of MS when the PAH metabolite levels was at the 75th percentile (P₇₅) were 0.158 (95%CI: 0.150, 0.166), 0.218 (95%CI: 0.209, 0.227), and 0.262 (95% CI: 0.241, 0.282), respectively, However, no correlation between PAHs and MS was found in the high amino acid concentration group. Conclusion Amino acids modify the effect of PAHs exposure on the incidence of MS. In individuals with low plasma amino acid levels, the risk of developing MS increases with higher concentrations of mixed PAH exposure. This effect is partly due to the low concentrations of BCAA and AAA.

Sinisan is a classical prescription developed and applied by ancient medical experts and it is first recorded in the Treatise on Cold Damage written by ZHANG Zhongjing in the Eastern Han Dynasty. Later physicians have modified this prescription based on this original one. The bibliometrics methods were used to analyze the key information and research trend of Sinisan. According to the inclusion and exclusion criteria， 69 pieces of effective data were extracted， involving 67 ancient traditional Chinese medicine （TCM） books. The results showed that the name， composition， and decocting methods of Sinisan in later generations were inherited from the original record in the Treatise on Cold Damage. The original plants of medicinal materials used in Sinisan are basically clear. We recommend Bupleuri Radix as the dried root of Bupleurem scorzonerifolium， Paeoniae Radix Alba as the dried root of Paeonia lactiflora， Aurantii Fructus as the dried fruit of Citrus aurantium， Glycyrrhizae Radix et Rhizoma as the dry root and rhizome of Glycyrrhiza uralensis. Raw materials of Bupleuri Radix and Paeoniae Radix Alba， Aurantii Fructus stir-fried with bran， and stir-fried Glycyrrhizae Radix et Rhizoma should be used for preparation of Sinisan. According to measurement system in the Han Dynasty， a bag of Sinisan is composed of 1.25 g Bupleuri Radix， 1.25 g Paeoniae Radix Alba， 1.25 g Aurantii Fructus， and 1.25 g Glycyrrhizae Radix et Rhizoma. The materials should be grounded into coarse powder and taken with a proper amount of rice soup， 3 times a day. Sinisan has the effects of regulating qi movement and harmonizing the liver and spleen. It can be used for treating reversal cold in limbs and cold damage. In modern clinical practice， Sinisan can be used to treat chronic gastritis， irritable bowel syndrome， and dyspepsia. The above research results provide scientific reference for the future research and development of Sinisan.

Objective:In order to advance the upgrade of the Traditional Chinese Medicine(TCM)"preventive healthcare"project and develop high-quality TCM preventive healthcare services.Methods:Utilizing stakeholder theory to identify the stakeholders of current TCM health preservation services,and analyze the core stakeholders'interest relationships,influence,connection strength,policy impact,and the recognition degree for TCM"preventive healthcare".Results:It describes the economic connotations and current development status of TCM"preventive healthcare"services,where the core stakeholders include government and functional departments,medical insurance departments,medical institutions,medical and health technicians,and patient groups.By comparing the interest descriptions of core stakeholders,the existing problems are analyzed.Conclusion:The government should improve policy management and promote departmental collaboration.Medical insurance departments need to strengthen policy coordination and product development.Medical institutions should establish a multi-level service system,optimize the service model,improve the incentive mechanism for medical and health technicians,and enhance service capabilities.The patient group should enhance health awareness and optimize the service experience.Through the management strategy driven by interests,it can promote the high-quality development of TCM preventive treatment services and meet the health needs of the residents.