Chronic liver diseases are a group of diseases in which the liver is subjected to a variety of injuries over a long period of time， resulting in irreversible pathological changes that last longer than 6 months. Emodin （EMO） is a natural anthraquinone derivative derived from Rheum officinale， and its pharmacological effect has been extensively studied， exhibiting a variety of biological properties and involving multiple signaling molecules and pathways. Western medicine or surgical treatment is currently the main treatment regimen for chronic liver diseases， and the advance in treatment is limited by various reasons such as side effects and high costs. Due to its natural origin and efficacy， EMO has unique advantages in the treatment of chronic liver diseases and has now become a research hotspot. This article summarizes the therapeutic effect of EMO on chronic liver diseases and its mechanism， in order to provide a certain scientific basis for the traditional Chinese medicine treatment of chronic liver diseases and the development of drugs in clinical practice.

ObjectiveThis paper aims to investigate and evaluate the staged efficacy and safety of the representative empirical prescription of the “Zhu Ke Jiao” theory， Qijia Rougan prescription， combined with entecavir in the treatment of hepatic fibrosis in chronic hepatitis B. MethodsA multicenter randomized controlled clinical study was conducted， and 101 patients diagnosed with chronic hepatitis B-related hepatic fibrosis （CHB-HF） who met the diagnosis and inclusion criteria were randomly assigned to an observation group （Qijia Rougan prescription + entecavir） and a control group （entecavir）. The treatment duration was 24 weeks. Liver stiffness measurement （LSM）， fibrosis-4 index （FIB-4）， portal vein diameter， hepatitis B serology， biochemical indicators， hepatic fibrosis markers in serum ［hyaluronic acid （HA）， laminin （LN）， procollagen Ⅲ peptide （PⅢP）， and type Ⅳ collagen （Ⅳ-C）］， and traditional Chinese medicine syndrome scores were used as efficacy evaluation indicators. Efficacy assessments and explorations of different staged subgroups of Qijia Rougan prescription were conducted according to LSM values based on the Metavir pathological staging standard. ResultsA total of 98 cases were included for statistical analysis， with 49 cases in the observation group and 49 in the control group. The general data of the patients in both groups were comparable. Compared with the same group before treatment， the observation group showed a significant reduction in LSM and FIB-4 （P<0.01）， as well as notable improvements in LN， Ⅳ-C， and various TCM syndrome scores （P<0.05， P<0.01）. When compared to the control group after treatment， the observation group demonstrated significant improvements in LSM， FIB-4， and various TCM syndrome score indicators （P<0.05， P<0.01）， indicating that the observation group performed better than the control group. Subgroup analysis of the regression of hepatic fibrosis stages showed that compared to the same group before treatment， the observation group had better improvement in regression of stages F2 and F3 （P<0.05）. When compared to the control group after treatment， the observation group exhibited superior improvement in regression of stage F3 （P<0.05）. No adverse events occurred in either group during the treatment period. ConclusionCompared with entecavir alone， the combination of Qijia Rougan prescription and entecavir significantly improves the degree of hepatic fibrosis and clinical TCM symptoms in patients. The optimal intervention period is primarily during stage F3， which is a potential “interception” point of the “Zhu Ke Jiao” theory.

OBJECTIVE To investigate the mechanism of isochlorogenic acid A against hepatocellular carcinoma based on the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR） signaling pathway and multi-omics technology. METHODS The invasion rate and migration rate of human hepatocellular carcinoma HepG2 cells after 48 h of intervention with 0 （control group）， 0.25 and 0.5 mg/mL isochlorogenic acid A were examined； mRNA expression of DEP domain-containing mTOR-interacting protein （DEPTOR）， the protein expressions of mTOR， PI3K and phosphatase and tensin homologue deleted on chromosome ten （PTEN）， as well as the phosphorylation level of Akt protein were determined in the cells. Metabolomics analysis was performed using liquid chromatography-tandem mass spectrometry， and differential metabolites were screened and subjected to Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis； transcriptomics monitoring was conducted by RNA sequencing， and differentially expressed genes were screened and subjected to gene ontology （GO） and KEGG pathway enrichment analyses. RESULTS Compared with the control group， intervention with 0.25 and 0.5 mg/mL isochlorogenic acid A for 48 h significantly inhibited the invasion rate and migration rate of HepG2 cells， significantly up-regulated the mRNA expression of DEPTOR and the protein expression of PTEN， and significantly down-regulated the protein expression of PI3K and the phosphorylation level of Akt protein （except for 0.25 mg/mL isochlorogenic acid A） （ P ＜0.05）. A total of 304 differential metabolites and 212 differentially expressed genes were screened by multi-omics analysis. KEGG pathway enrichment analysis suggested that isochlorogenic acid A regulated key signaling of HepG2 cell growth mainly by inhibiting the PI3K/Akt signaling pathway， synergizing with metabolic reprogramming such as mTOR signaling pathway， ferroptosis， pentose phosphate pathway and purine/pyrimidine metabo lism. CONCLUSIONS The anti-hepatocellular carcinoma effect of isochlorogenic acid A is associated with the blockade of abnormal activation of the PI3K/Akt/mTOR signaling pathway. In addition， it may also be related to the inhibition of the pentose phosphate pathway and purine/pyrimidine metabolism， as well as the induction of ferroptosis，etc.

ObjectiveTo reveal the changing pattern of fungal communities and isoflavone content during the fermentation of Sojae Semen Praeparatum. MethodsInternal transcribed spacer （ITS） amplicon sequencing was used to analyze the changes in fungal communities during the fermentation. High-performance liquid chromatography （HPLC） was employed to determine the composition and content of isoflavones. Spearman correlation analysis was conducted to identify fungal communities positively correlated with isoflavone content. ResultsDuring the fermentation of Sojae Semen Praeparatum， the abundance of Penicillium continued to increase and became the dominant genus from the "yellow cladding" to the early "secondary fermentation" stage （9 days）. However， in the mid-to-late "secondary fermentation" stage （12-21 days）， the abundance of Penicillium decreased， while the abundance of Barnettozyma increased rapidly， becoming the dominant genus during the later stages （18-21 days）. Alpha diversity analyses showed that fungal diversity was higher in the "secondary fermentation" stage than in the "yellow cladding" stage. Beta diversity analyses showed greater variability in fungal communities during the "yellow cladding" stage， with relatively stable fungal communities during the "secondary fermentation" stage. The aglycone isoflavone content exhibited a gradual increase， rising from 5.56% at the start of fermentation to 96.84% by the end. In contrast， the glucoside isoflavone content experienced a corresponding decline， decreasing from 94.44% to 3.16%. Spearman analysis showed that Penicillium， Barnettozyma， and Ilyonectria were positively correlated with the contents of daidzein， glycitein， and genistein， and promoted the conversion of isoflavones from glucoside to aglycone forms. ConclusionThe fungal communities of Penicillium， Barnettozyma， and Ilyonectria promote the conversion of isoflavones from glucoside to aglycone forms during the fermentation of Sojae Semen Praeparatum. The findings provide an important reference for improving the scalability and quality of Sojae Semen Praeparatu fermentation.

Objective: To understand the incidence risk and risk factors of tuberculosis (TB) among middle school students in Chongqing, so as to provide a basis for formulating TB prevention and control strategies. Methods: From September to December 2022, 32 181 middle school students were selected as the study cohort from 15 administrative districts in Chongqing by using the stratified cluster random sampling method. All cohort members were screened with the tuberculin skin test (TST), and relevant information was collected from January 1, 2023 to December 31, 2024. On the basis of active screening, the follow up data of the participants were compared with the National Tuberculosis Management Information System to obtain the incidence status of the study subjects. The Log rank test was used to compare the TB incidence rates among students with different characteristics, and a Cox proportional hazards model was established to analyze the incidence risk and risk factors of TB. Results: The TST screening rate of the cohort members was 93.0%. During the 2 year follow up period, a total of 36 TB cases occurred, with a cumulative incidence rate of 111.87/100 000 and an incidence density of 55.95/100 000. Among them, the cumulative incidence rate of students from public schools (170.44/ 100 000 ) was higher than that of students from private schools (41.16/100 000), the cumulative incidence rate of students in schools located in high epidemic areas (153.95/100 000) was higher than that in medium epidemic areas (69.00/100 000), and the difference was statistically significant ( χ 2=11.49, 4.73, both P <0.05). The Log-rank test for different TST results showed that the difference in TB comulative incidence rate between students with strongly positive TST results (216.55/ 100 000 ) and those with negative TST results (81.40/100 000) was statistically significant ( χ 2=5.85, P <0.05). Univariate analysis using the Cox proportional hazards model revealed that the risk of TB was lower in students from private schools ( HR=0.25, 95% CI = 0.10-0.59) and students in medium epidemic areas ( HR=0.46, 95%CI =0.23-0.94); whereas the risk of TB was increased in students with strongly positive TST results ( HR=1.39, 95%CI =1.05-1.84) (all P <0.05). Multivariate Cox regression analysis showed that the risk of TB in students from private schools was lower than that of students from public schools ( HR=0.23, 95%CI=0.08-0.62, P <0.05). Conclusions The annual average incidence rate of TB among middle school students in Chongqing is at a relatively high level. It is necessary to strengthen the management and intervention for student groups, including those in public schools, those in schools located in high epidemic areas, and those with strongly positive TST results, so as to reduce the incidence rate of TB.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

OBJECTIVE To evaluate the efficacy and safety of first-line treatments regimens for human epidermal growth factor receptor 2 （HER2）-positive advanced gastric cancer. METHODS Computer searches were conducted on databases such as Web of Science， Embase， CNKI， and VIP in both Chinese and English， and abstracts of papers from the annual meetings of the European Society of Oncology and the American Society of Clinical Oncology were screened. Collected randomized controlled trials （RCTs） on first-line treatment for HER2-positive advanced unresectable or metastatic gastric cancer or gastroesophageal junction adenocarcinoma patients， with a retrieval period from database establishment until April 1， 2025. A network meta-analysis was conducted by two researchers who independently screened literature， extracted data， and evaluated the risk of bias in the study. RESULTS A total of 5 RCTs involving 2 797 patients and encompassing 6 treatment regimens were ultimately included. In the assessment of overall survival， there was a trend towards survival benefit for trastuzumab combined with chemotherapy （Tra_chemo）， pertuzumab combined with trastuzumab and chemotherapy （Per_Tra_chemo）， high-dose trastuzumab combined with chemotherapy （TraHD_chemo）， lapatinib combined with chemotherapy （Lap_chemo）， and pembrolizumab combined with trastuzumab and chemotherapy （Pem_Tra_chemo） compared to chemotherapy alone （chemo）； however， the differences were not statistically significant （P＞0.05）； the top two treatment regimens in terms of the surface under the cumulative ranking curve （SUCRA） were Pem_Tra_chemo （77.8%） and TraHD_chemo （74.2%）. For progression-free survival， there was statistical significance between Per_Tra_chemo and chemo， Pem_Tra_chemo and chemo （P＜0.05）； the top two treatment regimens in terms of SUCRA were Per_Tra_chemo （83.0%） and Pem_Tra_chemo （82.8%）. Regarding objective response rate， there was statistical significance between Pem_Tra_chemo and chemo （P＜0.05）； the top two treatment regimens in terms of SUCRA were Pem_Tra_chemo（87.4%）and Per_Tra_chemo（72.2%）. In terms of safety， there was statistical significance in the incidence of any level of adverse events between Lap_chemo and chemo （P＜0.05）； the top two treatment regimens in terms of SUCRA were chemo（87.1%）and Pem_Tra_chemo（53.8%）. Lap_chemo exhibited a higher incidence of grade ≥3 adverse events compared to chemo， and Per_Tra_chemo showed a higher incidence compared to Tra_chemo （P＜0.05）； the top two treatment regimens in terms of SUCRA were Tra_chemo （79.0%） and chemo （77.6%）. CONCLUSIONS In the first-line treatment of HER2-positive advanced gastric cancer， Pem_Tra_chemo and Per_Tra_chemo regimens have relatively good efficacy， but the safety risks are relatively high， requiring close attention and whole- process management.

INTRODUCTION: We aimed to understand the awareness and attitudes of elderly Southeast Asians towards telehealth services during the coronavirus disease 2019 (COVID-19) pandemic in this study. METHODS: In this qualitative study, 78 individuals from Singapore (51.3% female, mean age 73.0 ± 7.6 years) were interviewed via telephone between 13 May 2020 and 9 June 2020 during Singapore's first COVID-19 'circuit breaker'. Participants were asked to describe their understanding of telehealth, their experience of and willingness to utilise these services, and the barriers and facilitators underlying their decision. Transcripts were analysed using thematic analysis, guided by the United Theory of Acceptance Use of Technology framework. RESULTS: Of the 78 participants, 24 (30.8%) were able to describe the range of telehealth services available and 15 (19.2%) had previously utilised these services. Conversely, 14 (17.9%) participants thought that telehealth comprised solely home medication delivery and 50 (51.3%) participants did not know about telehealth. Despite the advantages offered by telehealth services, participants preferred in-person consultations due to a perceived lack of human interaction and accuracy of diagnoses, poor digital literacy and a lack of access to telehealth-capable devices. CONCLUSION Our results showed poor overall awareness of the range of telehealth services available among elderly Asian individuals, with many harbouring erroneous views regarding their use. These data suggest that public health education campaigns are needed to improve awareness of and correct negative perceptions towards telehealth services in elderly Asians.
Humans ; COVID-19/epidemiology* ; Female ; Telemedicine ; Aged ; Male ; Singapore/epidemiology* ; Qualitative Research ; Health Knowledge, Attitudes, Practice ; SARS-CoV-2 ; Aged, 80 and over ; Middle Aged ; Pandemics ; Awareness ; Asian People ; Southeast Asian People

OBJECTIVE: To observe the effect of electroacupuncture (EA) at "Hegu" (LI4) and "Taichong" (LR3) on DNA methylation of the solute carrier family 6 member 4 (SLC6A4) gene promoter region in the hippocampus of depressed rats, and to explore the potential antidepressant mechanism of EA. METHODS: Thirty male Sprague-Dawley rats were randomly divided into a blank group, a model group, a medication group, a 5-Azacytidine (5-AZA) group, and an EA group, 6 rats in each group. Depression models were established in the model group, the medication group, the 5-AZA group, and the EA group using chronic unpredictable mild stress (CUMS) combined with solitary housing. The medication group was treated with intragastric administration of fluoxetine hydrochloride capsules; the 5-AZA group was treated with intraperitoneal injection of 5-AZA; the EA group was treated with EA at bilateral "Hegu" (LI4) and "Taichong" (LR3), with disperse-dense wave, frequency of 2 Hz/100 Hz, and intensity of 1-1.2 mA, 20 min each session. All the treatment was given in three groups once daily for 21 consecutive days. Behavioral changes were evaluated by sucrose preference test, open field test, and novelty-suppressed feeding test. Serum levels of serotonin (5-HT), dopamine (DA), and norepinephrine (NE) were measured by ELISA. The expression of SLC6A4 and 5-HT1AR protein and mRNA in hippocampus was detected by Western blot and real-time quantitative PCR, respectively. DNA methylation status of the SLC6A4 promoter region in hippocampal tissue was analyzed by bisulfite sequencing PCR (BSP). RESULTS: Compared with the blank group, the model group showed decreased sucrose preference, reduced total locomotor distance, and prolonged latency to feeding (P<0.05), decreased serum 5-HT, DA, and NE levels (P<0.05), downregulated hippocampal SLC6A4 and 5-HT1AR protein and mRNA expression (P<0.05), and increased CpG site methylation rate of the SLC6A4 promoter region (P<0.05). Compared with the model group, the medication group, the 5-AZA group, and the EA group exhibited increased sucrose preference, increased total locomotor distance, shortened latency to feeding (P<0.05), elevated serum 5-HT, DA, and NE levels (P<0.05), upregulated hippocampal SLC6A4 and 5-HT1AR protein and mRNA expression (P<0.05), and reduced CpG site methylation rate of the SLC6A4 promoter (P<0.05). Compared with the medication group and the 5-AZA group, the EA group showed higher sucrose preference, greater total locomotor distance, shorter latency to feeding (P<0.05), and increased serum DA and NE levels (P<0.05). CONCLUSION EA could improve depressive behaviors in depressed rat models. The underlying mechanism may involve inhibition of SLC6A4 hypermethylation in the hippocampus on the serotonergic system, upregulation of SLC6A4 and 5-HT1AR protein and mRNA expression, and elevation of monoamine neurotransmitters such as 5-HT.
Animals ; Electroacupuncture ; Male ; Hippocampus/metabolism* ; Rats, Sprague-Dawley ; Rats ; Acupuncture Points ; DNA Methylation ; Depression/metabolism* ; Promoter Regions, Genetic ; Serotonin Plasma Membrane Transport Proteins/metabolism* ; Humans

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.