1.Da Chaihutang for Treatment of Sepsis with Yang Syndrome:A Randomized Controlled Trial
Na HUANG ; Guangmei CHEN ; Xingyu KAO ; Zhen YANG ; Weixian XU ; Kang YUAN ; Junna LEI ; Jingli CHEN ; Mingfeng HE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):55-63
ObjectiveTo explore the clinical efficacy and safety of Da Chaihutang (DCH) for the treatment of sepsis with Yang syndrome. MethodsA total of 70 patients suffering from sepsis with Yang syndrome were randomly divided into an observation group and a control group, with 35 cases in each group. They both received standard Western medicine treatment. The observation group was additionally given a dose of DCH, which was boiled into 100 mL and taken twice. The control group was additionally given an equal volume and dosage of warm water. The intervention lasted for three days. The 28-day all-cause mortality and the changes in the following indicators before and after intervention were compared between the two groups, including sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score,white blood cell (WBC),the percentage of neutrophils (NEU%),C-reactive protein (CRP),procalcitonin (PCT),alanine transaminase (ALT),aspartate transaminase (AST),total bilirubin (TBil),creatinine (Cr),blood urea nitrogen (BUN),acute gastrointestinal injury (AGI) grade,gastrointestinal dysfunction score (GDS),serum intestinal fatty acid-binding protein (iFABP), citrulline (CR),platelet (PLT),prothrombin time(PT),activated partial thromboplastin time (APTT),fibrinogen (Fib),international normalized ratio (INR),and D-dimer (D-D). ResultsThere was no significant difference between the two groups regarding 28-day all-cause mortality. After the intervention,SOFA,WBC,PCT,and Cr were significantly decreased, and PLT was significantly increased in the control group (P<0.05). SOFA,APACHE Ⅱ,NEU%,CRP,PCT,ALT,AST,Cr,BUN,AGI grade,GDS,and serum iFABP and CR were significantly improved in the observation group (P<0.05). After the intervention,APACHE Ⅱ,PCT,AGI grade,GDS,and serum iFABP in the observation group were significantly lower than those in the control group ,while CR and PLT were higher (P<0.05,P<0.01). There were significant differences regarding the gap of SOFA,APACHE Ⅱ,AST,TBil,AGI grade,GDS,iFABP,CR, and PLT between the two groups (P<0.05,P<0.01). There were slight differences regarding PT,APTT,Fib,INR,and D-D between the two groups,which were in the clinical normal range. ConclusionOn the basis of Western medicine, DCH helped to reduce sepsis severity and improved multiple organ dysfunction with high clinical efficacy and safety, but further research on its impact on the prognosis of patients with sepsis is still required.
2.Characteristics of mitochondrial translational initiation factor 2 gene methylation and its association with the development of hepatocellular carcinoma
Huajie XIE ; Kai CHANG ; Yanyan WANG ; Wanlin NA ; Huan CAI ; Xia LIU ; Zhongyong JIANG ; Zonghai HU ; Yuan LIU
Journal of Clinical Hepatology 2025;41(2):284-291
ObjectiveTo investigate the characteristics of mitochondrial translational initiation factor 2 (MTIF2) gene methylation and its association with the development and progression of hepatocellular carcinoma (HCC). MethodsMethSurv and EWAS Data Hub were used to perform the standardized analysis and the cluster analysis of MTIF2 methylation samples, including survival curve analysis, methylation signature analysis, the association of tumor signaling pathways, and a comparative analysis based on pan-cancer database. The independent-samples t test was used for comparison between two groups; a one-way analysis of variance was used for comparison between multiple groups, and the least significant difference t-test was used for further comparison between two groups. The Cox proportional hazards model was used to perform the univariate and multivariate survival analyses of methylation level at the CpG site. The Kaplan-Meier method was used to investigate the survival differences between the patients with low methylation level and those with high methylation level, and the Log-likelihood ratio method was used for survival difference analysis. ResultsGlobal clustering of MTIF2 methylation showed that there was no significant difference in MTIF2 gene methylation level between different races, ethnicities, BMI levels, and ages. The Kaplan-Meier survival curve analysis showed that the patients with N-Shore hypermethylation of the MTIF2 gene had a significantly better prognosis than those with hypomethylation (hazard ratio [HR]=0.492, P<0.001), while there was no significant difference in survival rate between the patients with different CpG island and S-Shore methylation levels (P>0.05). The methylation profile of the MTIF2 gene based on different ages, sexes, BMI levels, races, ethnicities, and clinical stages showed that the N-Shore and CpG island methylation levels of the MTIF2 gene decreased with the increase in age, and the Caucasian population had significantly lower N-Shore methylation levels of the MTIF2 gene than the Asian population (P<0.05); the patients with clinical stage Ⅳ had significantly lower N-Shore and CpG island methylation levels of the MTIF2 gene than those with stage Ⅰ/Ⅱ (P<0.05). Clinical validation showed that the patients with stage Ⅲ/Ⅳ HCC had a significantly lower methylation level of the MTIF2 gene than those with stage Ⅰ/Ⅱ HCC and the normal population (P<0.05). ConclusionN-Shore hypomethylation of the MTIF2 gene is a risk factor for the development and progression of HCC.
3.Optimization and Mechanism Exploration of Tusizi Prescription for Ovarian Reserve Function Based on Uniform Design Method
Yuan LI ; Hanqian DU ; Jiashan LI ; Li GUO ; Zehui LI ; Na LIN ; Ying XU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):53-62
ObjectiveTo optimize Tusizi prescription for ovarian reserve function based on the uniform design method combined with in vitro experiments and explore the underlying mechanisms of this prescription. MethodsThe uniform design method was adopted to design a 5-factor 11-level experiment on the water extract of Tusizi prescription. The cell-counting kit-8 (CCK-8) assay was employed to measure the viability of human ovarian granulosa cells (KGN cells) treated with Tusizi prescription extracts 1-11, and multivariate regression analysis was performed to determine the optimal herb ratio in this prescription. The potential targets of active ingredients in the prescription were retrieved from traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) and encyclopedia of traditional Chinese medicine (ETCM). The common targets shared by Tusizi prescription and diminished ovarian reserve (DOR) were selected and imported into search tool for the retrieval of interacting genes/proteins (STRING) to construct a protein-protein interaction (PPI) network and into gene function annotation database (DAVID) for gene ontology (GO) analysis. The CCK-8 assay was used to measure the viability of ovarian germline stem cells treated with hyperoside. The CCK-8 assay, 5-ethynyl-2'-deoxyuridine (EdU) staining, terminal-deoxynucleoitidyl transferase mediated nick-end labeling (TUNEL), and enzyme-linked immunosorbent assay (ELISA) were employed to examine the proliferation, apoptosis, and estradiol (E2) secretion of KGN cells treated with the water extract 11 of Tusizi prescription (Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 4∶4∶2∶1∶1) and the optimal prescription screened by uniform design. On this basis, the optimal prescription composition for maximizing the effect on ovarian reserve function was determined and preliminary insights into the underlying mechanisms of this prescription were gained. ResultsA total of 147 common targets were obtained from 278 targets of Tusizi prescription and 1 721 targets of DOR. GO analysis revealed 194 biological processes, primarily involving cellular responses to exogenous compound stimuli, negative regulation of apoptotic process, and positive regulation of cell proliferation. It identified 84 cellular components, including cell membrane, mitochondria, and neuronal cell body, as well as 144 molecular functions such as enzyme binding, estrogen response element binding, and nuclear estrogen receptor binding. The multivariate regression analysis revealed that when Tusizi prescription was composed of Cuscutae Semen, Lycii Fructus, Dioscoreae Rhizoma, Poria, and Nelumbinis Semen in a ratio of 27∶30∶17∶12∶14, the water extract of Tusizi prescription had the best effect of enhancing the viability of KGN cells. CCK-8 results showed that compared with the normal group, the hyperoside group demonstrated increased viability of ovarian germline stem cells (P<0.01). The CCK-8, EdU, and ELISA results showed that compared with the normal group, the optimal prescription screened by uniform design and the water extract 11 of Tusizi prescription increased the proliferation and reduced the apoptosis of KGN cells (P<0.05, P<0.01). ELISA results showed that compared with the normal group, the water extract 11 of Tusizi prescription promoted the E2 secretion of KGN cells (P<0.05), while the optimal prescription screened by uniform design had no significant effect on the E2 secretion. ConclusionBoth the water extract 11 of Tusizi prescription (Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 4∶4∶2∶1∶1) and the optimal prescription screened by uniform design (Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 27∶30∶17∶12∶14) can improve the ovarian reserve function, and the former has better effect. Tusizi prescription can modulate biological processes (such as cell proliferation and apoptosis) and molecular functions (such as enzyme binding and estrogen response element binding) through active components like hyperoside to promote the proliferation and E2 secretion and inhibit the apoptosis of KGN cells, thereby protecting the ovarian reserve function.
4.Optimization and Mechanism Exploration of Tusizi Prescription for Ovarian Reserve Function Based on Uniform Design Method
Yuan LI ; Hanqian DU ; Jiashan LI ; Li GUO ; Zehui LI ; Na LIN ; Ying XU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(7):53-62
ObjectiveTo optimize Tusizi prescription for ovarian reserve function based on the uniform design method combined with in vitro experiments and explore the underlying mechanisms of this prescription. MethodsThe uniform design method was adopted to design a 5-factor 11-level experiment on the water extract of Tusizi prescription. The cell-counting kit-8 (CCK-8) assay was employed to measure the viability of human ovarian granulosa cells (KGN cells) treated with Tusizi prescription extracts 1-11, and multivariate regression analysis was performed to determine the optimal herb ratio in this prescription. The potential targets of active ingredients in the prescription were retrieved from traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) and encyclopedia of traditional Chinese medicine (ETCM). The common targets shared by Tusizi prescription and diminished ovarian reserve (DOR) were selected and imported into search tool for the retrieval of interacting genes/proteins (STRING) to construct a protein-protein interaction (PPI) network and into gene function annotation database (DAVID) for gene ontology (GO) analysis. The CCK-8 assay was used to measure the viability of ovarian germline stem cells treated with hyperoside. The CCK-8 assay, 5-ethynyl-2'-deoxyuridine (EdU) staining, terminal-deoxynucleoitidyl transferase mediated nick-end labeling (TUNEL), and enzyme-linked immunosorbent assay (ELISA) were employed to examine the proliferation, apoptosis, and estradiol (E2) secretion of KGN cells treated with the water extract 11 of Tusizi prescription (Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 4∶4∶2∶1∶1) and the optimal prescription screened by uniform design. On this basis, the optimal prescription composition for maximizing the effect on ovarian reserve function was determined and preliminary insights into the underlying mechanisms of this prescription were gained. ResultsA total of 147 common targets were obtained from 278 targets of Tusizi prescription and 1 721 targets of DOR. GO analysis revealed 194 biological processes, primarily involving cellular responses to exogenous compound stimuli, negative regulation of apoptotic process, and positive regulation of cell proliferation. It identified 84 cellular components, including cell membrane, mitochondria, and neuronal cell body, as well as 144 molecular functions such as enzyme binding, estrogen response element binding, and nuclear estrogen receptor binding. The multivariate regression analysis revealed that when Tusizi prescription was composed of Cuscutae Semen, Lycii Fructus, Dioscoreae Rhizoma, Poria, and Nelumbinis Semen in a ratio of 27∶30∶17∶12∶14, the water extract of Tusizi prescription had the best effect of enhancing the viability of KGN cells. CCK-8 results showed that compared with the normal group, the hyperoside group demonstrated increased viability of ovarian germline stem cells (P<0.01). The CCK-8, EdU, and ELISA results showed that compared with the normal group, the optimal prescription screened by uniform design and the water extract 11 of Tusizi prescription increased the proliferation and reduced the apoptosis of KGN cells (P<0.05, P<0.01). ELISA results showed that compared with the normal group, the water extract 11 of Tusizi prescription promoted the E2 secretion of KGN cells (P<0.05), while the optimal prescription screened by uniform design had no significant effect on the E2 secretion. ConclusionBoth the water extract 11 of Tusizi prescription (Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 4∶4∶2∶1∶1) and the optimal prescription screened by uniform design (Cuscutae Semen-Lycii Fructus-Dioscoreae Rhizoma-Poria-Nelumbinis Semen 27∶30∶17∶12∶14) can improve the ovarian reserve function, and the former has better effect. Tusizi prescription can modulate biological processes (such as cell proliferation and apoptosis) and molecular functions (such as enzyme binding and estrogen response element binding) through active components like hyperoside to promote the proliferation and E2 secretion and inhibit the apoptosis of KGN cells, thereby protecting the ovarian reserve function.
5.Risk Identification Model of Coronary Artery Stenosis Constructed Based on Random Forest
Yongfeng LV ; Yujing WANG ; Leyi ZHANG ; Yixin LI ; Na YUAN ; Jing TIAN
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(1):138-146
ObjectiveTo establish a risk recognition model for coronary artery stenosis by using a machine learning method and to identify the key causative factors. MethodsPatients aged ≥18 years,diagnosed with coronary heart disease through coronary angiography from January 2013 to May 2020 in two prominent hospitals in Shanxi Province, were continuously enrolled. Logistic regression,back propagation neural network (BPNN), and random forest(RF)algorithms were used to construct models for detecting the causative factors of coronary artery stenosis. Sensitivity (TPR), specificity (TNR), accuracy (ACC), positive predictive value (PV+), negative predictive value (PV-), area under subject operating characteristic curve (AUC), and calibration curve were used to compare the discrimination and calibration performance of the models. The best model was then employed to predict the main risk variables associated with coronary stenosis. ResultsThe RF model exhibited superior comprehensive performance compared to logistic regression and BPNN models. The TPR values for logistic regression,BPNN,and RF models were 75.76%, 74.30%, and 93.70%, while ACC values were 74.05%, 72.30%, and 79.49%, respectively. The AUC values were:logistic regression 0.739 9; BPNN 0.723 1; RF 0.752 2. Manifestations such as chest pains,abnormal ST segments on ECG,ventricular premature beats with hypertension, atrial fibrillation, regional wall motion abnormalities(RWMA) by color echocardiography, aortic regurgitation(AR), pulmonary insufficiency (PI), family history of cardiovascular diseases,and body mass index(BMI)were identified as top ten important variables affecting coronary stenosis according to the RF model. ConclusionsRandom forest model shows the best comprehensive performance in identification and accurate assessment of coronary artery stenosis. The prediction of risk factors affecting coronary artery stenosis can provide a scientific basis for clinical intervention and help to formulate further diagnosis and treatment strategies so as to delay the disease progression.
6.Bibliometric analysis of studies on myopia in preschool children in the last 20 years
Na YUAN ; Yuxia LIU ; Lingjun WEI ; Haitao ZHENG
International Eye Science 2025;25(4):558-564
AIM: To identify research articles on myopia in preschool children and explore its current status and development trends based on bibliometric analysis.METHODS: Data from the Web of Science Core Collection database were analyzed using the search term “TS=Preschool children myopia” to retrieve all relevant publications from January 1, 2004, to December 31, 2023.RESULTS: A total of 171 articles were included in the analysis. China was identified as the leading country in terms of publication volume, making significant contributions to this field. The National University of Singapore and Nanjing Medical University were recognized as key institutions at the forefront of this research. Investigative Ophthalmology & Visual Science and Ophthalmology emerged as the journals with the highest citation frequencies. High-frequency keywords highlighted the current status and future directions of myopia research in preschool children. Specifically, “prevalence”, “refractive error” and “risk factors” were identified as potential focal points for future investigations.CONCLUSION: This study provides a comprehensive bibliometric analysis of global literature on myopia in preschool children. It identifies the most frequently cited articles in this field, outlines the global research landscape, and highlights emerging hotspots and trends. These findings offer valuable insights and directions for researchers and practitioners focusing on this area.
7.Investigation on the mechanisms of Colquhounia Root Tablets in reversing vascular endothelial cell dysfunction of rheumatoid arthritis via modulating NOD2/SMAD3/VEGFA signaling axis
Bing-bing CAI ; Ya-wen CHEN ; Tao LI ; Yuan ZENG ; Yan-qiong ZHANG ; Na LIN ; Xia MAO ; Ya LIN
Acta Pharmaceutica Sinica 2025;60(2):397-407
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation, joint destruction, and functional impairment. Angiogenesis plays a key role in the pathological progression of RA with dysfunction of endothelial cells to promote synovial inflammation, sustain pannus formation, subsequently leading to joint damage. Colquhounia Root Tablets (CRT), a Chinese patent drug, has shown a satisfying clinical efficacy in treating RA, while the underlying mechanism by which CRT inhibits RA-associated angiogenesis remains unclear. In this study, we applied a research approach combining transcriptomic data analysis, bio-network mapping, and
8.A Randomized Controlled Trial of Stone Needle Thermocompression and Massage for Treating Chronic Musculoskeletal Pain in the Shoulder and Back:A Secondary Analysis of Muscle Elasticity as a Mediator
Jingjing QIAN ; Yuanjing LI ; Li LI ; Yawei XI ; Ying WANG ; Cuihua GUO ; Jiayan ZHOU ; Yaxuan SUN ; Shu LIU ; Guangjing YANG ; Na YUAN ; Xiaofang YANG
Journal of Traditional Chinese Medicine 2025;66(9):935-940
ObjectiveTo evaluate the effectiveness of stone needle thermocompression and massage compared to flurbiprofen gel patch in relieving chronic musculoskeletal pain in the shoulder and back, and to explore the potential mediating mechanism through muscle elasticity. MethodsA total of 120 patients with chronic musculoskeletal pain in the shoulder and back were randomly assigned to either stone needle group or flurbiprofen group, with 60 patients in each. The stone needle group received stone needle thermocompression and massage for 30 minutes, three times per week; the flurbiprofen group received flurbiprofen gel patch twice daily. Both groups were treated for 2 weeks. Pain improvement, as the primary outcome, was assessed using the Global Pain Scale (GPS) at baseline, after 2 weeks of treatment, and again 2 weeks post-treatment. To explore potential mechanisms, a mediator analysis was conducted by measuring changes in superficial and deep muscle elasticity using musculoskeletal ultrasound at baseline and after the 2-week treatment period. ResultsThe stone needle group showed significantly greater pain relief than the flurbiprofen group 2 weeks post-treatment. After adjusting for confounders related to pain duration, the between-group mean difference was -8.8 [95% CI (-18.2, -0.7), P<0.05]. Part of the therapeutic effect was mediated by changes in deep muscle elasticity, with a mediation effect size of -1.5 [95% CI (-2.0, -0.9), P = 0.024], accounting for 17.9% of the total effect. ConclusionStone needle thermocompression and massage can effectively relieve chronic musculoskeletal pain in the shoulder and back, partly through a mediating effect of improved deep muscle elasticity.
9.Differences in HER2-0 and HER2-low Breast Cancer: Androgen Receptor and Programmed Death Ligand 1 as Predictive Factors
Xiaoqi ZHANG ; Ciqiu YANG ; Yitian CHEN ; Junsheng ZHANG ; Peiyong LI ; Na HUANG ; Yilin CHEN ; Minting LIANG ; Weiming LV ; Zhongyu YUAN ; Jie LI ; Kun WANG
Journal of Breast Cancer 2025;28(1):23-36
Purpose:
Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified.
Methods:
We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR.
Results:
The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046).
Conclusion
There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.
10.Differences in HER2-0 and HER2-low Breast Cancer: Androgen Receptor and Programmed Death Ligand 1 as Predictive Factors
Xiaoqi ZHANG ; Ciqiu YANG ; Yitian CHEN ; Junsheng ZHANG ; Peiyong LI ; Na HUANG ; Yilin CHEN ; Minting LIANG ; Weiming LV ; Zhongyu YUAN ; Jie LI ; Kun WANG
Journal of Breast Cancer 2025;28(1):23-36
Purpose:
Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified.
Methods:
We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR.
Results:
The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046).
Conclusion
There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

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