1.Research progress on the anti-tumor effects of traditional Chinese medicine through intervention in the Nrf2/GPX4 signaling pathway
Jie HUANG ; Si LIN ; Chunjuan JIANG ; Ling WEI
China Pharmacy 2025;36(4):507-512
Nuclear factor-erythroid 2-related factor 2 (Nrf2)/glutathione peroxidase 4 (GPX4) signaling pathway plays a key role in the occurrence and development of tumors, and is involved in tumor cell proliferation, apoptosis, ferroptosis, invasion, migration, and drug resistance. Based on the Nrf2/GPX4 signaling pathway, this paper summarizes the research progress of the anti- tumor effects of traditional Chinese medicine. It is found that flavonoids (ginkgetin, luteolin, etc.), terpenoids (atractylenolide, cucurbitacin B, etc.), saponins (polyphyllin Ⅰ, polyphyllin Ⅶ), ester (brusatol) and other effective components, and traditional Chinese medicine extracts (total coumarins in Pileostegia tomentella and total flavonoids of Pterocarya hupehensis Skan), traditional Chinese medicine compounds (Fushao diqin fang, Xiaoai jiedu fang, etc.) can promote ferroptosis in tumor cells by inhibiting Nrf2/GPX4 signaling pathway and the expressions of its upstream and downstream factor proteins, as well as by increasing Fe2+ levels and lipid peroxidation, thereby exerting an antitumor effect.
2.Bidirectional relationship between type 2 diabetes mellitus and coronary artery disease: Prospective cohort study and genetic analyses
Wenqiang ZHANG ; Li ZHANG ; Chenghan XIAO ; Xueyao WU ; Huijie CUI ; Chao YANG ; Peijing YAN ; Mingshuang TANG ; Yutong WANG ; Lin CHEN ; Yunjie LIU ; Yanqiu ZOU ; Ling ZHANG ; Chunxia YANG ; Yuqin YAO ; Jiayuan LI ; Zhenmi LIU ; Xia JIANG ; Ben ZHANG
Chinese Medical Journal 2024;137(5):577-587
Background::While type 2 diabetes mellitus (T2DM) is considered a putative causal risk factor for coronary artery disease (CAD), the intrinsic link underlying T2DM and CAD is not fully understood. We aimed to highlight the importance of integrated care targeting both diseases by investigating the phenotypic and genetic relationships between T2DM and CAD.Methods::We evaluated phenotypic associations using data from the United Kingdom Biobank ( N = 472,050). We investigated genetic relationships by leveraging genomic data conducted in European ancestry for T2DM, with and without adjustment for body mass index (BMI) (T2DM: Ncase/ Ncontrol = 74,124/824,006; T2DM adjusted for BMI [T2DM adjBMI]: Ncase/ Ncontrol = 50,409/523,897) and for CAD ( Ncase/ Ncontrol = 181,522/984,168). We performed additional analyses using genomic data conducted in multiancestry individuals for T2DM ( Ncase/ Ncontrol = 180,834/1,159,055). Results::Observational analysis suggested a bidirectional relationship between T2DM and CAD (T2DM→CAD: hazard ratio [HR] = 2.12, 95% confidence interval [CI]: 2.01–2.24; CAD→T2DM: HR = 1.72, 95% CI: 1.63–1.81). A positive overall genetic correlation between T2DM and CAD was observed ( rg = 0.39, P = 1.43 × 10 -75), which was largely independent of BMI (T2DM adjBMI–CAD: rg = 0.31, P = 1.20 × 10 –36). This was corroborated by six local signals, among which 9p21.3 showed the strongest genetic correlation. Cross-trait meta-analysis replicated 101 previously reported loci and discovered six novel pleiotropic loci. Mendelian randomization analysis supported a bidirectional causal relationship (T2DM→CAD: odds ratio [OR] = 1.13, 95% CI: 1.11-1.16; CAD→T2DM: OR = 1.12, 95% CI: 1.07-1.18), which was confirmed in multiancestry individuals (T2DM→CAD: OR = 1.13, 95% CI: 1.10-1.16; CAD→T2DM: OR = 1.08, 95% CI: 1.04-1.13). This bidirectional relationship was significantly mediated by systolic blood pressure and intake of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors, with mediation proportions of 54.1% (95% CI: 24.9-83.4%) and 90.4% (95% CI: 29.3-151.5%), respectively. Conclusion::Our observational and genetic analyses demonstrated an intrinsic bidirectional relationship between T2DM and CAD and clarified the biological mechanisms underlying this relationship.
3.Relationship between Phenotypic Changes of Dendritic Cell Subsets and the Onset of Plateau Phase during Intermittent Interferon Therapy in Patients with CHB
Liu YANG ; Yu Shi WANG ; Ting Ting JIANG ; Wen DENG ; Min CHANG ; Ling Shu WU ; Hua Wei CAO ; Yao LU ; Ge SHEN ; Yu Ru LIU ; Jiao Yuan GAO ; Jiao Meng XU ; Ping Lei HU ; Lu ZHANG ; Yao XIE ; Hui Ming LI
Biomedical and Environmental Sciences 2024;37(3):303-314
Objective This study aimed to evaluate whether the onset of the plateau phase of slow hepatitis B surface antigen decline in patients with chronic hepatitis B treated with intermittent interferon therapy is related to the frequency of dendritic cell subsets and expression of the costimulatory molecules CD40,CD80,CD83,and CD86. Method This was a cross-sectional study in which patients were divided into a natural history group(namely NH group),a long-term oral nucleoside analogs treatment group(namely NA group),and a plateau-arriving group(namely P group).The percentage of plasmacytoid dendritic cell and myeloid dendritic cell subsets in peripheral blood lymphocytes and monocytes and the mean fluorescence intensity of their surface costimulatory molecules were detected using a flow cytometer. Results In total,143 patients were enrolled(NH group,n = 49;NA group,n = 47;P group,n = 47).The results demonstrated that CD141/CD1c double negative myeloid dendritic cell(DNmDC)/lymphocytes and monocytes(%)in P group(0.041[0.024,0.069])was significantly lower than that in NH group(0.270[0.135,0.407])and NA group(0.273[0.150,0.443]),and CD86 mean fluorescence intensity of DNmDCs in P group(1832.0[1484.0,2793.0])was significantly lower than that in NH group(4316.0[2958.0,5169.0])and NA group(3299.0[2534.0,4371.0]),Adjusted P all<0.001. Conclusion Reduced DNmDCs and impaired maturation may be associated with the onset of the plateau phase during intermittent interferon therapy in patients with chronic hepatitis B.
4.Association of Cytokines with Clinical Indicators in Patients with Drug-Induced Liver Injury
Hua Wei CAO ; Ting Ting JIANG ; Ge SHEN ; Wen DENG ; Yu Shi WANG ; Yu Zi ZHANG ; Xin Xin LI ; Yao LU ; Lu ZHANG ; Yu Ru LIU ; Min CHANG ; Ling Shu WU ; Jiao Yuan GAO ; Xiao Hong HAO ; Xue Xiao CHEN ; Ping Lei HU ; Jiao Meng XU ; Wei YI ; Yao XIE ; Hui Ming LI
Biomedical and Environmental Sciences 2024;37(5):494-502
Objective To explore characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.
5.Prediction of spread through air spaces in stage Ⅰ lung adenocarcinoma based on CT radiomics combined with machine learning
Yu ZHUANG ; Ling TANG ; Benbo YAO ; Ping JIANG
Journal of Practical Radiology 2024;40(9):1434-1438
Objective To explore the value of CT radiomics combined with different machine learning algorithms in preoperative pre-diction of spread through air spaces(STAS)status of stage Ⅰ lung adenocarcinoma.Methods A total of 183 patients with stage Ⅰ primary lung adenocarcinoma were retrospectively selected,83 in the STAS-positive group and 100 in the STAS-negative group.The clinical data and CT features were compared between the two groups.All patients were randomly divided into training set(n=146)and val-idation set(n=37)at the ratio of 8∶2.ITK-SNAP software was used to segment the region of interest(ROI).Radiomics features were extracted by PyRadiomics.Three-step feature selection was used for feature dimensionality reduction and six machine learning algorithms were used to construct the prediction models.The receiver operating characteristic(ROC)curve was used to assess the predictive efficacy of the 6 models.Decision curve analysis(DC A)was used to evaluate the clinical application value of the models.Results There were significant differences in tumor diameter,density,presence of micropapillary/solid components,vascular inva-sion,pleural invasion,and Ki-67 expression between the two groups(P<0.05).Multivariate logistic regression analysis showed tumor density,presence of micropapillary/solid components,and vascular invasion were independent predictors of STAS.The area under the curve(AUC)of the multilayer perceptron(MLP)model were 0.806 and 0.841 in the training set and validation set,respectively.DCA showed good clinical decision benefits from the model.Conclusion The combined model based on CT radiomics and MLP can effectively predict STAS of stage Ⅰ lung adenocarcinoma before operation.It can provide decision support for diagnosing and treating early-stage lung adenocarcinoma.
6.Setup error analysis during proton and heavy ion therapy for head and head neck tumor patients with fixation by thermoplastic film combined with styrofoam
Zhu-Lei LIU ; Rui-Rui BU ; Dan ZHOU ; Yao LI ; Ling-Min WU ; Dong-Peng ZHANG ; Jiang-Bing ZHANG ; Dan YOU
Chinese Medical Equipment Journal 2024;45(7):56-61
Objective To analyze the setup errors during proton and heavy ion therapy for head and head neck tumor patients fixed by thermoplastic film combined with styrofoam.Methods Totally 20 patients undergoing proton and heavy ion therapy at some hospital from January to December 2018 were selected retrospectively,of whom 10 ones had head tumors with clinical targets located in the head and the other 10 cases had head and neck tumors with clinical targets distributed in the head and neck.All the 20 patients were fixed with thermoplastic film combined with styrofoam.The head and neck images of the patients acquired after image guidance were aligned with the CT localization-based digitally reconstructed radiograph images,and the setup errors at six-dimensional directions(left-right translation,head-foot translation,forward-backward translation,isocentric rotation,pitch rotation and transverse-roll rotation)were recorded in the first five and the last five times of radiotherapy treatment.The data were processed by using the SPSS 23.0 statistical software and EXCEL.Results There were no significant differences between the head tumor patients in the setup errors at the six directions during the first and last five times of radiotherapy(P>0.05).The head and neck tumor patients did not have obvious differences in the setup errors at the the directions of left-right translation,forward-backward translation,isocentric rotation and transverse-roll rotation(P>0.05),while did at the directions of head-foot translation and pitch rotation(P<0.05).The head and head neck tumor patients with the fixation by thermoplastic film combined with styrofoam had their setup errors at the six directions meet clinical requirements after calibration by the six-dimensional treatment table.Conclusion The fixation mode by thermoplastic film and styrofoam behaves well to enhance the setup repeatability for head tumor patients at the six-dimensional directions,while not so well for head neck tumor patients at the directions of head-foot translation and pitch rotation.Proper measures have to be taken to decrease the setup errors during proton and heavy ion therapy for head and head neck tumor patients.[Chinese Medical Equipment Journal,2024,45(7):56-61]
7.Temporal trend of the global prevalence rate of tension-type headache in children and adolescents in 1990-2021
Ling-Zi YAO ; De-Nan JIANG ; Jing WU ; Guang-Dian SHEN ; Jin CAO ; Si-Qing CHENG ; Shi-Yi SHAN ; Ze-Yu LUO ; Jia-Li ZHOU ; Pei-Ge SONG
Chinese Journal of Contemporary Pediatrics 2024;26(10):1058-1065
Objective To investigate the prevalence of tension-type headache(TTH)in children and adolescents aged 0-19 years globally in 1990-2021,and to provide a basis for the prevention and treatment of TTH.Methods Based on the Global Burden of Disease Study data,the age-standardized prevalence distribution of TTH and its changing trend were analyzed among the children and adolescents aged 0-19 years,with different sexes,age groups,sociodemographic index(SDI)regions and countries/territories.Results The age-standardized prevalence rate(ASPR)of TTH in children and adolescents aged 0-19 globally in 2021 was 17 339.89/100 000,which was increased by 1.73%since 1990.The ASPR in females was slightly higher than that in males(1990:17 707.65/100 000 vs 16 403.78/100 000;2021:17 946.29/100 000 vs 16 763.09/100 000).The ASPR in adolescence was significantly higher than that in school-aged and preschool periods(1990:27 672.04/100 000 vs 10 134.16/100 000;2021:28 239.04/100 000 vs 10 059.39/100 000).Regions with high SDI exhibited a higher ASPR than the other regions,with significant differences in prevalence rates across different countries.From 1990 to 2021,there was a slight increase in global ASPR,with an average annual percentage change(AAPC)of 0.06%.Females experienced a smaller increase than males based on AAPC(0.04%vs 0.07%).There was reduction in ASPR in preschool and school-aged groups,with an AAPC of-0.02%,while there was a significant increase in ASPR in adolescence,with an AAPC of 0.07%.ASPR decreased in regions with low-middle and low levels of SDI,with an AAPC of-0.02%and-0.04%,respectively,while it increased in regions with middle SDI,with an AAPC of 0.24%.Conclusions There is a consistent increase in the ASPR of TTH in children and adolescents aged 0-19 years globally,with significant differences across sexes,age groups,SDI regions and countries/territories.
8.Development of a Prognostic Model for Overall Survival Adult Patients with Core Binding Factor Acute Myeloid Leukaemia
Lu-Yao SHI ; Ling-Ling LI ; Tao LI ; Ya-Fei LI ; Yan-Fang LIU ; Zhong-Xing JIANG ; Shu-Juan WANG ; Chong WANG
Journal of Experimental Hematology 2024;32(3):693-701
Objective:To analyze the factors affecting overall survival(OS)of adult patients with core-binding factor acute myeloid leukemia(CBF-AML)and establish a prediction model.Methods:A total of 216 newly diagnosed patients with CBF-AML in the First Affiliated Hospital of Zhengzhou University from May 2015 to July 2021 were retrospectively analyzed.The 216 CBF-AML patients were divided into the training and the validation cohort at 7:3 ratio.The Cox regression model was used to analyze the clinical factors affecting OS.Stepwise regression was used to establish the optimal model and the nomogram.Receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)were used to evaluate the model performance.Results:Age(≥ 55 years old),peripheral blood blast(≥80%),fusion gene(AML1-ETO),KIT mutations were identified as independent adverse factors for OS.The area under the ROC curve at 3-year was 0.772 and 0.722 in the training cohort and validation cohort,respectively.The predicted value of the calibration curve is in good agreement with the measured value.DCA shows that this model performs better than a single factor.Conclusion:This prediction model is simple and feasible,and can effectively predict the OS of CBF-AML,and provide a basis for treatment decision.
9.Erratum: Author correction to 'Herbal formula BaWeiBaiDuSan alleviates polymicrobial sepsis-induced liver injury via increasing the gut microbiota Lactobacillus johnsonii and regulating macrophage anti-inflammatory activity in mice' Acta Pharmaceutica Sinica B 13 (2023) 1164-1179.
Xiaoqing FAN ; Chutian MAI ; Ling ZUO ; Jumin HUANG ; Chun XIE ; Zebo JIANG ; Runze LI ; Xiaojun YAO ; Xingxing FAN ; Qibiao WU ; Peiyu YAN ; Liang LIU ; Jianxin CHEN ; Ying XIE ; Elaine LAI-HAN LEUNG
Acta Pharmaceutica Sinica B 2023;13(8):3575-3576
[This corrects the article DOI: 10.1016/j.apsb.2022.10.016.].
10.Establishment of a nomogram prediction model for the etiological type of large vessel occlusive stroke based on clinical and imaging parameters
Ling LI ; Ruoyao CAO ; Yao LU ; Yun JIANG ; Peng QI ; Guoxuan WANG ; Kezhen YU ; Juan CHEN
International Journal of Cerebrovascular Diseases 2023;31(6):409-417
Objective:To develop a nomogram model based on clinical and imaging parameters to predict the etiological type of acute ischemic stroke (AIS).Methods:Patients with AIS received endovascular treatment in Beijing Hospital from March 2016 to December 2021 were retrospectively included. According to the etiological type, they were divided into large artery atherosclerosis (LAA) and cardioembolism (CE). The clinical and imaging parameters mostly relevant to the etiological type were selected by LASSO regression, and a nomogram model for predicting the etiological type of AIS was established by multifactorial logistic regression to investigate the predictive value of relevant clinical imaging parameters. In addition, the diagnostic efficacy of the prediction model was assessed by receiver operator characteristic (ROC) curves, calibration curves, and clinical decision curves. Results:A total of 136 AIS patients with anterior circulation large vessel occlusion received endovascular treatment were included, including 62 patients with CE (45.6%) and 74 with LAA (54.4%). Variables with P<0.10 in the univariate analysis were included in LASSO regression to screen for relevant variables. The gender, baseline National Institute of Health Stroke Scale (NIHSS) score, penumbra to ischemic core ratio, brain natriuretic peptide (BNP), and platelet (PLT) count were included into the multivariate logistic regression model. The results revealed that gender (odds ratio [ OR] 2.632, 95% confidence interval [ CI] 1.048-6.607; P=0.039), baseline NIHSS score ( OR 1.078, 95% CI 1.002-1.160; P=0.043), BNP ( OR 1.004, 95% CI 1.002-1.007. P<0.001), PLT ( OR 0.991, 95% CI 0.982-0.999; P=0.031) as the predictors to distinguish LAA from CE. In addition, the penumbra to infarct core ratio ( OR 0.886, 95% CI 0.785-1.000; P=0.050) also played an important role in predicting the model. The diagnostic efficacy of this predictive model was analyzed by the ROC curves, with an area under the curve of 0.881 (95% CI 0.815-0.930, P<0.001). Bootstrap internal validation showed that the good compliance with a mean absolute error of 0.027 for true versus predicted value compliance. Calibration curves, clinical decision curves, and Hosmer-Lemeshow test ( P=0.562) showed good agreement between the predicted and actual values of the model. Conclusion:Patients with CE are more common in women, have higher NIHSS scores and BNP, and have lower PLT and penumbra to ischemic core ratio. The nomogram model combining the above indicators can better identify LAA and CE, and maybe helpful in clinical decision making.

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