OBJECTIVE To investigate the effects and mechanisms of Buyang huanwu decoction （BYHWD） and its active fractions in ameliorating non-alcoholic fatty liver disease. METHODS BYHWD and its effective fractions obtained through ethanol precipitation， as well as 30% ethanol， 50% ethanol， and 75% ethanol fractions （namely， the CC effective fraction， 30YC effective fraction， 50YC effective fraction， and 75YC effective fraction）， were prepared. These preparations were administered to rats via intragastric administration to prepare corresponding drug-containing serum （blank serum and simvastatin-containing serum were prepared using the same protocol）. Human L02 hepatocytes were divided into control group， model group， simvastatin-containing serum group， BYHWD-containing serum group， CC-containing serum group， 30YC-containing serum group， 50YC-containing serum group， and 75YC-containing serum group. Except for the control group， other groups were given 0.2 mol/L oleic acid for 24 h to induce a lipid accumulation model， and then intervened with 20% drug-containing serum/blank serum for 24 h. The lipid deposition in cells was observed， and the proportion of lipid droplet area was calculated； the levels of triglycerides （TG） and indicators of oxidative stress [malondialdehyde （MDA）， superoxide dismutase （SOD）] as well as liver function [alanine amino- transferase （ALT）， aspartate amino-transferase （AST）] in cells were detected； protein and mRNA expressions of AMP-activated protein kinase （AMPK）/sterol regulatory element-binding protein-1 （SREBP-1）/glycerol-3-phosphate acyltransferase （GPAT） signaling pathway were also measured. RESULTS Compared with the control group， cells in the model group exhibited severe cellular steatosis， with a significantly increased proportion of lipid droplet area， as well as the elevated levels of TG， ALT， AST， and MDA in cells， along with significantly up-regulated mRNA and protein expression levels of SREBP-1 and GPAT （P＜0.05）. The level of SOD， mRNA expression of AMPK， as well as the protein phosphorylation level of AMPK were decreased significantly （P＜0.05）. Compared with the model group， cellular steatosis was alleviated in all drug-containing serum groups， and the levels of most of the aforementioned quantitative indicators were significantly reversed （P＜0.05）. CONCLUSIONS BYHWD and its active fractions can exert a therapeutic effect on improving non-alcoholic fatty liver disease by regulating the AMPK/SREBP-1/GPAT signaling pathway， inhibiting oxidative stress responses， and reducing lipid deposition.

ObjectiveTo conduct a comparative quality analysis of Inulae Flos， fuzz of Inulae Flos and calyx of Inulae Flos， elucidating the scientific connotation of the "removing calyx" process in the traditional processing of Inulae Flos. MethodsInulae Flos decoction pieces were collected， and the fuzz and calyx of Inulae Flos were prepared according to the experiences of old medicine workers. Subsequently， according to the methods under the "Inulae Flos" item in the 2025 edition of the Pharmacopoeia of the People's Republic of China， the appearance characteristics and thin-layer chromatography（TLC） identification of these samples were tested， and the moisture content， total ash content， extract content were also measured. The characteristic fingerprint patterns of Inulae Flos and fuzz of Inulae Flos were established by high-performance liquid chromatography（HPLC）， followed by similarity evaluation， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA）. The contents of cryptochlorogenic acid， caffeic acid， 1，3-O-dicaffeoylqunic acid， 1，5-O-dicaffeoylqunic acid， and 1-O-acetyl britannilactone were determined to compare the quality differences of Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos. ResultsThe moisture content of Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos was all<10%. The determination results of total ash content were as follows：Calyx of Inulae Flos>Inulae Flos>fuzz of Inulae Flos， and the determination results of alcohol-soluble extract content were as follows：Fuzz of Inulae Flos>Inulae Flos>calyx of Inulae Flos. HPLC fingerprint patterns of Inulae Flos and fuzz of Inulae Flos were established， and 22 common peaks were identified. The similarity analysis and PCA showed that the overall quality of Inulae Flos and fuzz of Inulae Flos was similar， while the overall quality of calyx of Inulae Flos differed significantly from that of Inulae Flos and fuzz of Inulae Flos. PLS-DA results showed that Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos clustered into distinct groups， indicating significant differences among them. Cryptochlorogenic acid and caffeic acid had relatively high contents in calyx of Inulae Flos， the contents of 1，3-O-dicaffeoylqunic acid and 1，5-O-dicaffeoylqunic acid in Inulae Flos and fuzz of Inulae Flos were higher than those in calyx of Inulae Flos. The order of 1-O-acetyl britannilactone content was determined as follows：fuzz of Inulae Flos>Inulae Flos>calyx of Inulae Flos. ConclusionThe scientific nature of "Removing Calyx" process in the cleansing of Inulae Flos by old medicine workers is demonstrated by the resulting fuzz of Inulae Flos decoction pieces exhibiting enhanced cleanliness and higher content of the index component 1-O-acetyl britannilactone. This study provides a reference basis for further improving and enhancing the processing method and quality control standards of Inulae Flos.

Metabolic dysfunction-associated fatty liver disease （MAFLD） has become one of the most prevalent chronic liver diseases worldwide， posing a serious challenge to public health. In this context， the integration of artificial intelligence （AI）， especially intelligent diagnosis and treatment and digital health interventions based on machine learning， can break through the limitations of traditional methods， realize efficient screening of multi-dimensional data such as key genes， biomarkers， and biochemical metabolites， and achieve revolutionary breakthroughs in risk prediction， subtype identification， and therapeutic effect assessment for MAFLD. This article systematically reviews the ground-breaking application of machine learning models in driving the innovation of clinical diagnosis and precise risk prediction of MAFLD， conducts a comprehensive comparative analysis of digital health practice cases of MAFLD in China and globally， and deeply analyzes their advantages and limitations in terms of research subjects， interventions， and management team. Studies have shown that the deep integration of digital health and long-term management of MAFLD is becoming the key engine driving the transformation of disease management modes towards an intelligent， individualized， and precise era， but there are various ethical and technical issues that need to be addressed urgently.

ObjectiveTo analyze the epidemiological characteristics of latent tuberculosis infection (LTBI) among newly detained populations in eastern China, to identify high-risk groups, and to provide a scientific basis for formulating tuberculosis prevention and control strategies in the prison system. MethodsA cross-sectional study was conducted among the newly admitted detainees in two prisons in eastern China in 2022. Data on demographic characteristics, behavioral risk factors and previous disease history of the research subjects were collected through a structured questionnaire survey. The LTBI status of the detainees was determined using the QuantiFERON-TB Gold In-Tube (QFT-GIT) method. Lasso regression was used to screen variables, followed by multivariate logistic regression analysis to investigate the influencing factors of LTBI. ResultsA total of 305 detainees were included in the study. The median age of detainees was 35 (31, 43) years. The study population was predominantly male (67.21%), of Han ethnicity (95.41%), had a junior or senior high school education (59.34%), and was unemployed (31.80%). A history of smoking was reported by 52.79% of participants, while 57.70% reported no alcohol consumption. The majority had no history of hypertension (85.90%), diabetes mellitus (93.77%), human immunodeficiency virus (HIV) infection (97.38%), familial genetic diseases (95.08%), surgery or trauma (73.77%), drug use (92.79%), or hepatitis (93.77%). The LTBI rate was 14.75%. After comparing the demographic characteristics of LTBI and non-infected groups, it was found that smoking history (χ²=7.40, P=0.025), drug use history (χ²=5.49, P=0.019), and HIV infection (χ²=8.12, P=0.004) were statistically correlated with LTBI infection. The results of multivariate logistic regression analyses showed that smoking [adjusted odds ratio (aOR)=4.08, 95%CI: 1.60‒10.42, P=0.003], HIV infection (aOR=11.57, 95%CI: 2.50‒53.51, P=0.002) and drug use (aOR=3.04, 95%CI: 1.02‒9.09, P=0.046) were risk factors for LTBI. ConclusionThe LTBI rate among newly detainees in two prisons in eastern China is slightly lower than that among long-term detainees. Early screening and intervention should be implemented for newly detainees, with particular attention focused on high-risk groups such as those with a history of smoking, HIV infection, or drug use.

Background: Disorders of the blood-brain barrier (BBB) arising from diabetes mellitus are closely related to diabetic encephalopathy. Previous research has suggested that neuron-glia antigen 2 (NG2)-glia plays a key role in maintaining the integrity of the BBB. However, the mechanism by which NG2-glia regulates the diabetic BBB remains unclear. Methods: Type 2 diabetes mellitus (T2DM) db/db mice and db/m mice were used. Evans-Blue BBB permeability tests and transmission electron microscopy techniques were applied. Tight junction proteins were assessed by immunofluorescence and transmission electron microscopy. NG2-glia number and signaling pathways were evaluated by immunofluorescence. Detection of matrix metalloproteinase-9 (MMP-9) in serum was performed using enzyme-linked immunosorbent assay (ELISA). Results: In T2DM db/db mice, BBB permeability in the hippocampus significantly increased from 16 weeks of age, and the structure of tight junction proteins changed. The number of NG2-glia in the hippocampus of db/db mice increased around microvessels from 12 weeks of age. Concurrently, the expression of MMP-9 increased in the hippocampus with no change in serum. Sixteen- week-old db/db mice showed activation of the Wnt/β-catenin signaling in hippocampal NG2-glia. Treatment with XAV-939 improved structural and functional changes in the hippocampal BBB and reduced MMP-9 secretion by hippocampal NG2-glia in db/db mice. It was also found that the upregulation of β-catenin protein in NG2-glia in the hippocampus of 16-week-old db/db mice was significantly alleviated by treatment with XAV-939. Conclusion The results indicate that NG2-glia can lead to structural and functional disruption of the diabetic BBB by activating Wnt/β-catenin signaling, upregulating MMP-9, and degrading tight junction proteins.

Objective To construct and evaluate a prognostic model for clear cell renal cell carcinoma(ccRCC)based on preoperative lipid ratios, cM0(i+)staging, and other clinical characteristics, so as to provide a precise tool for clinical prognosis assessment. Methods A retrospective analysis was conducted on the clinical data of 215 ccRCC patients treated in our hospital during May 2014 and May 2023. Lipid ratios were calculated using preoperative lipid data, and patients were divided into cM0(i+)stage or cM0 stage according to postoperative circulating tumor cells(CTCs)test results. The optimal lipid ratio and cutoff value were selected using receiver operating characteristic(ROC)curves and the X-tile method. Patients were subdivided into three groups based on the level of the low-density lipoprotein cholesterol to non-low-density lipoprotein cholesterol ratio(LNLR)and cM0(i+)staging:Group A [LNLR＞1.68 and diagnosed with cM0(i+)], Group B [LNLR＞1.68 or diagnosed with cM0(i+)], and Group C(LNLR ≤1.68 and diagnosed with cM0). Kaplan-Meier survival analysis was used to plot survival curves for patients in different groups. The log-rank test was employed to compare differences in recurrence-free survival(RFS)among the subgroups. Multivariate Cox regression analysis was conducted to identify the independent risk factors influencing RFS, and a nomogram prediction model was constructed based on these results. The predictive performance of the model was validated using ROC curves, calibration curves, and decision curves. Results ROC curves were plotted for lipid markers, and LNLR was identified as the most predictive for RFS. Its optimal cutoff point was 1. 68. Patients in Group A experienced a significantly shorter postoperative RFS. Multivariate Cox regression analysis identified preoperative LNLR, cM0(i+)staging, pathological grade, and stage as independent risk factors for RFS. A nomogram model was constructed based on these risk factors. The area under the ROC curve(AUC)for 1-, 3-, and 5-year RFS was 0.896(95% CI:0.8121-0.9627), 0.890(95%CI:0.7879-0.9641), and 0.870(95%CI:0.7697-0.9526), indicating good discriminatory ability and predictive performance. Calibration plots demonstrated good agreement between predicted and actual outcomes. Clinical decision curve analysis showed high clinical net benefit. Conclusion Preoperative LNLR level is an independent risk factor for RFS in ccRCC patients. The prognostic prediction model based on LNLR, cM0(i+)staging, patient pathological grade, and staging demonstrates good predictive performance for RFS and holds potential clinical application value.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective To address the challenges of constructing large language models for traditional Chinese medicine(TCM)classics,which are complex and expensive to fine-tune,this study explores a lightweight fine-tuning method for such models,aiming to develop a question-answering model centered on TCM classics,particularly various editions of Shang Han Lun through the ages.Methods Dataset construction involved designing prompts to guide GPT-4 in generating Q&A pairs based on Shang Han Lun and integrating them with the ShenNong_TCM_Dataset and cMedQA2 datasets.Five general-purpose large models were selected for Lora fine-tuning.The best model was chosen through evaluation,and the performance of multiple quantized versions was validated.Results After fine-tuning,the BLEU,ROUGE-1,ROUGE-2,and ROUGE-L metrics for the Qwen-7B-Chat model improved by 17.61,19.63,14.3,and 21.4,respectively,compared to the base model.Conclusion The selected model in this study is capable of effectively understanding and utilizing professional terms and concepts from TCM classics,such as Shang Han Lun,to provide accurate answers to user queries.Compared to similar models,it requires lower fine-tuning costs and computational power,contributing to the dissemination of TCM knowledge and the development of intelligent systems.

Objective:To explore the relationship between maternal rejection and internet addiction in college students, as well as the chain mediating role of rejection sensitivity and adaptability.Methods:From March to May 2024, a total of 1 119 college students were surveyed using the short-form Egna Minnen av Barndoms Uppforstran for Chinese(s-EMBU-C), internet addiction test(IAT), rejection sensitivity questionnaire(RSQ), and the China college student adjustment scale(CCSAS).SPSS 26.0 statistical software was used for independent sample t-test, one-way ANOVA, Pearson product moment correlation, and multiple linear regression analysis, and PROCESS 4.0 macro program was used for chain mediation analysis. Results:(1)Maternal rejection (11.19±2.97) was positively correlated with internet addiction (44.89±9.74)( r=0.60, P<0.01) and rejection sensitivity (102.93±55.63)( r=0.63, P<0.01), while negatively correlated with adaptability (200.19±14.18)( r=-0.56, P<0.01) among college students. Rejection sensitivity was positively correlated with internet addiction ( r=0.75, P<0.01) and negatively correlated with adaptability ( r=-0.76, P<0.01). Adaptability was negatively correlated with internet addiction ( r=-0.68, P<0.01). (2)Maternal rejection had a significant direct effect on internet addiction among college students (effect value=0.193, 95% CI=0.145-0.241), accounting for 32.06%(0.193/0.602) of the total effect. Rejection sensitivity mediated the relationship between maternal rejection and internet addiction (effect value=0.290, 95% CI=0.232-0.357), accounting for 48.17%(0.290/0.602) of the total effect. Adaptability also mediated this relationship (effect value=0.028, 95% CI=0.009-0.053), accounting for 4.65%(0.028/0.602) of the total effect. Additionally, there was a chain mediation effect of rejection sensitivity and adaptability on the relationship between maternal rejection and internet addiction (effect value=0.091, 95% CI=0.052-0.130), accounting for 15.12%(0.091/0.602) of the total effect. Conclusion:Maternal rejection can directly influence internet addiction in college students, and it can also indirectly influence internet addiction through the independent mediating effects of rejection sensitivity and adaptability, as well as through the chain mediating effects of both rejection sensitivity and adaptability.

Green development has become a consensus,yet hospitals exhibit high energy intensity during operations.The requirement to"reduce energy expenditure per 10,000 yuan of revenue"necessitates energy conservation in hospital logistics.This study,based on the practical context of a hospital,innovatively introduced third-party verification,employing separate mete-ring and comprehensive electrical testing for energy savings accounting.Through the Energy Performance Contracting(EPC)model,the study addressed financial,technical,and managerial challenges in hospital energy conservation.Technological trans-formations included:Construction of an energy consumption monitoring system Intensive power supply and distribution system up-grades High-efficiency lighting systems Centralized air conditioning control Smart recycled water systems Real-time water quality monitoring BIM-based energy room operations These measures significantly reduced operational costs,achieving dual environmen-tal and economic benefits.As carbon neutrality goals advance,hospitals will increasingly focus on green and low-carbon transi-tions.The EPC model provides an effective pathway for hospitals to achieve energy conservation and emission reduction.