1.Efficacy of Differential Dosage of Pueraria in Gegen Qinliantang on Acute Enteritis Model in Mice
Ruiying ZHANG ; Ping WANG ; Di ZHANG ; Hongfa CHENG ; Ying ZHANG ; Zhu DENG ; Hui FENG ; Min LIU ; Yang TANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):197-204
ObjectiveTo investigate whether there are differences in the efficacy of Gegen Qinliantang with different contents of Puerariae Lobatae Radix on the acute enteritis (AE) model mice and provide a scientific basis for the interpretation of Gegen Qinliantang in the treatment of "Xie Re Li". MethodsA total of 112 male BALB/c mice were randomly divided into a blank group,model group,single Puerariae Lobatae Radix group,non-Puerariae Lobatae Radix group,regular dose Gegen Qinliantang group (regular dose group),half-dose Puerariae Lobatae Radix group,and doubled-dose Puerariae Lobatae Radix group, with 16 mice in each group. Hematoxylin-eosin (HE) staining was used to observe the pathological changes of the colon tissue. Western blot was employed to detect the expression of ZO-1 (a protein in the tight junction) and Occludin in the colon tissue, as well as the changes of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β). ResultsCompared with the blank group,the DAI scores of the mice in the model group were significantly higher (P<0.05),and the histopathological sections of their colon tissues showed mucosal damage,glandular atrophy,disordered arrangement,and a large number of inflammatory cells infiltration,and the expression of ZO-1 and Occludin proteins in their colon tissues was significantly down-regulated (P<0.05,P<0.01). The expression of inflammatory factors TNF-α and IL-1β was significantly up-regulated (P<0.05,P<0.01). Compared with the model group,the DAI scores of mice in all dosing groups decreased significantly (P<0.05),with the most significant effect in the regular dose group. After 7 d of drug administration,the regular dose group had the best impact on the repair of colonic mucosa in the AE mouse model. The regular dose group significantly down-regulated the expression of TNF-α (P<0.05) and significantly up-regulated the expression of ZO-1 protein (P<0.05). The doubled-dose Puerariae Lobatae Radix group significantly down-regulated the expression of IL-1β protein (P<0.01),and there was no significant difference between all dosing groups and the model group in terms of the expression of Occludin protein. After 14 d of drug administration,the best effect on the repair of colonic mucosa in the AE mouse model was observed in the doubled dose Puerariae Lobatae Radix group. All groups except the non-Puerariae Lobatae Radix group significantly down-regulated the expression of TNF-α (P<0.01). Meanwhile,the regular dose group and doubled-dose Puerariae Lobatae Radix group significantly elevated the expression level of Occludin protein (P<0.01). The doubled-dose Puerariae Lobatae Radix group also significantly inhibited the expression of IL-1β protein (P<0.05) and up-regulated ZO-1 protein expression (P<0.05). ConclusionGegen Qinliantang can reduce the pathological damage of colon tissue, protect the barrier function and structure of intestinal epithelial cells, and reduce the expression of inflammatory factors, so as to achieve the therapeutic effect of AE model mice. When comparing the therapeutic efficacy of Gegen Qinliantang containing different Gegen contents, Gegen Qinliantang with the proportion of the original formula of Zhongjing was the most effective in AE model mice.
2.Efficacy of Differential Dosage of Pueraria in Gegen Qinliantang on Acute Enteritis Model in Mice
Ruiying ZHANG ; Ping WANG ; Di ZHANG ; Hongfa CHENG ; Ying ZHANG ; Zhu DENG ; Hui FENG ; Min LIU ; Yang TANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):197-204
ObjectiveTo investigate whether there are differences in the efficacy of Gegen Qinliantang with different contents of Puerariae Lobatae Radix on the acute enteritis (AE) model mice and provide a scientific basis for the interpretation of Gegen Qinliantang in the treatment of "Xie Re Li". MethodsA total of 112 male BALB/c mice were randomly divided into a blank group,model group,single Puerariae Lobatae Radix group,non-Puerariae Lobatae Radix group,regular dose Gegen Qinliantang group (regular dose group),half-dose Puerariae Lobatae Radix group,and doubled-dose Puerariae Lobatae Radix group, with 16 mice in each group. Hematoxylin-eosin (HE) staining was used to observe the pathological changes of the colon tissue. Western blot was employed to detect the expression of ZO-1 (a protein in the tight junction) and Occludin in the colon tissue, as well as the changes of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β). ResultsCompared with the blank group,the DAI scores of the mice in the model group were significantly higher (P<0.05),and the histopathological sections of their colon tissues showed mucosal damage,glandular atrophy,disordered arrangement,and a large number of inflammatory cells infiltration,and the expression of ZO-1 and Occludin proteins in their colon tissues was significantly down-regulated (P<0.05,P<0.01). The expression of inflammatory factors TNF-α and IL-1β was significantly up-regulated (P<0.05,P<0.01). Compared with the model group,the DAI scores of mice in all dosing groups decreased significantly (P<0.05),with the most significant effect in the regular dose group. After 7 d of drug administration,the regular dose group had the best impact on the repair of colonic mucosa in the AE mouse model. The regular dose group significantly down-regulated the expression of TNF-α (P<0.05) and significantly up-regulated the expression of ZO-1 protein (P<0.05). The doubled-dose Puerariae Lobatae Radix group significantly down-regulated the expression of IL-1β protein (P<0.01),and there was no significant difference between all dosing groups and the model group in terms of the expression of Occludin protein. After 14 d of drug administration,the best effect on the repair of colonic mucosa in the AE mouse model was observed in the doubled dose Puerariae Lobatae Radix group. All groups except the non-Puerariae Lobatae Radix group significantly down-regulated the expression of TNF-α (P<0.01). Meanwhile,the regular dose group and doubled-dose Puerariae Lobatae Radix group significantly elevated the expression level of Occludin protein (P<0.01). The doubled-dose Puerariae Lobatae Radix group also significantly inhibited the expression of IL-1β protein (P<0.05) and up-regulated ZO-1 protein expression (P<0.05). ConclusionGegen Qinliantang can reduce the pathological damage of colon tissue, protect the barrier function and structure of intestinal epithelial cells, and reduce the expression of inflammatory factors, so as to achieve the therapeutic effect of AE model mice. When comparing the therapeutic efficacy of Gegen Qinliantang containing different Gegen contents, Gegen Qinliantang with the proportion of the original formula of Zhongjing was the most effective in AE model mice.
3.Prediction of risk of in-hospital death in patients with chronic heart failure complicated by lung infections using interpretable machine learning
Caiyu SHEN ; Shuai WANG ; Ruiying ZHOU ; Yuhe WANG ; Qin GAO ; Xingzhi CHEN ; Shu YANG
Journal of Southern Medical University 2024;44(6):1141-1148
Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.
4.Explorations of Clinical Teaching and Training Model for Refresher Anesthesiologists
Manjiao MA ; Lulu MA ; Ruiying WANG ; Xiuhua ZHANG
Medical Journal of Peking Union Medical College Hospital 2024;15(2):462-465
5.Establishment of a LASSO-Logistic Regression-based Risk Prediction Model for Early Recurrence of Siewert Ⅱ/Ⅲ Adenocarcinoma of Esophagogastric Junction Post-Surgery
Zuyu ZHANG ; Hong WEI ; Qian LIU ; Yaoqiang WANG ; Xueyan FAN ; Ruiying LUO ; Changjiang LUO
Medical Journal of Peking Union Medical College Hospital 2024;15(3):604-615
To investigate the risk factors for early relapse after curative resection of Siewert type Ⅱ/Ⅲ adenocarcinoma of esophagogastric junction (AEG) and construct a visual predictive model. A retrospective analysis was conducted on the clinicopathological data of patients diagnosed with Siewert type Ⅱ/Ⅲ AEG who underwent curative resection at the Second Hospital of Lanzhou University from January 2016 to March 2021. The samples were randomly divided into a training group and a validation group in a 7∶3 ratio. The LASSO-Logistic regression method was used to select variables predictive of early recurrence of Siewert type Ⅱ/Ⅲ AEG and construct a predictive model for early recurrence. The model was validated through 1000 bootstrap resampling. Receiver operating characteristic (ROC) curves were drawn, and area under the curve (AUC), calibration curves, and decision curve analysis (DCA) were used to evaluate the model's stability. According to the inclusion and exclusion criteria of this study, a total of 320 Siewert type Ⅱ/Ⅲ AEG patients were included, with 122 experiencing recurrence within two years. LASSO-Logistic regression analysis revealed AJCC staging, degree of differentiation, CA199, CEA, NLR, and tumor maximum diameter as independent predictive factors for early recurrence of Siewert type Ⅱ/Ⅲ AEG. A predictive model was constructed with these factors and depicted as a nomogram. For the training group, the AUC of the ROC curve was 0.836(95% CI: 0.785-0.887), with a sensitivity of 81.4% and a specificity of 85.6%;for the validation group, the AUC was 0.812(95% CI: 0.711-0.912), with a sensitivity of 80.6% and a specificity of 87.7%. Calibration curves for both the training and validation groups displayed curves close to the reference line, indicating high model stability. The DCA curve showed that the model provided a good net benefit with threshold probabilities between 0.05 and 0.75. A multivariate model developed using LASSO-Logistic regression could predict early relapse in patients with Siewert type Ⅱ/Ⅲ AEG, which may be instrumental in assessing patient prognoses and in guiding postoperative surveillance and management for patients with Siewert type Ⅱ/Ⅲ AEG.
6.Construction of the quality evaluation scale of specification of management for humanistic caring in outpatients and its reliability and validity testing
Lixia YUE ; Na CUI ; Xu CHE ; Heng ZHANG ; Hongxia WANG ; Shujie GUO ; Hongling SHI ; Ruiying YU ; Xia XIN ; Xiaohuan CHEN ; Li WANG ; Zhiwei ZHI ; Lei TAN ; Xican ZHENG
Chinese Medical Ethics 2024;37(11):1366-1377
Objective:To construct the quality evaluation scale of specification of management for humanistic caring in outpatients and test its reliability and validity.Methods:Referring to the group standards in Specification of Management for Humanistic Caring in Outpatients released by the China Association for Life Care,as well as relevant guidelines and literature,a pool of items for the quality evaluation scale of specification of management for humanistic caring in outpatients was formed.After expert consultation and expert argumentation,a quality evaluation scale of specification of management for humanistic caring in outpatients was constructed.From January to February 2024,243 hospital managers from 5 hospitals in Zhengzhou were selected as survey subjects to conduct item analysis,and reliability and validity testing on the scale.Results:Two rounds of expert inquiry and two rounds of expert argumentation were conducted,with questionnaire response rates of 92.00%and 100.00%,respectively,and expert authority coefficients of 0.952.In the second round of the expert inquiry scale,the mean importance score of the first-level indicators was 4.80 to 5.00,the full score ratio was 88.00%to 100.00%,the coefficient of variation was 0.04 to 0.17,and Kendall's coefficient of concordance was 0.857(P<0.001);the mean importance score of the second-level indicators was 4.60 to 5.00,the full score ratio was 80.00%to 100.00%,the coefficient of variation was 0.00 to 0.21,and Kendall's coefficient of concordance was 0.775(P<0.001);the mean importance score of the third-level indicators was 4.60 to 5.00,the full score ratio was 76.00%to 100.00%,the coefficient of variation was 0.00 to 0.21,and Kendall's coefficient of concordance was 0.830(P<0.001).Finally,a quality evaluation scale of specification of management for humanistic caring in outpatients was formed,including 5 first-level indicators,25 second-level indicators,and 58 third-level indicators.Exploratory factor analysis produced 5 common factors with a cumulative variance contribution rate of 74.628%.The Pearson correlation coefficients between the five-factor scores ranged from 0.648 to 0.798,and the correlation coefficients between the factor scores and the total score of the scale ranged from 0.784 to 0.938.The scale-level content validity index(S-CVI)of the scale was 0.945,the item-content validity index(I-CVI)was 0.725 to 1.000,the Cronbach's alpha coefficient of the total scale was 0.973,and the retest reliability coefficient was 0.934.Conclusion:The constructed quality evaluation scale of specification of management for humanistic caring in outpatients has good scientific validity and reliability,and can be used as an evaluation tool for specification of management for humanistic caring in outpatients.
7.Role and Clinical Prospects of Mesenchymal Stem Cells and Their Derived Exosomes in Chronic Obstructive Pulmonary Disease
Ruiying WANG ; Shuang WEI ; Xiansheng LIU
Clinical Medicine of China 2024;40(6):465-473
Chronic obstructive pulmonary disease (COPD) is a chronic, heterogeneous inflammatory disease with high prevalence and mortality rate. Although current treatments can relieve symptoms, they cannot prevent further decline in lung function. With the development of stem cell therapy, mesenchymal stem cells and their extracellular vesicles have received widespread attention for their anti-inflammatory, immune regulation, tissue regeneration and repair functions, aging, and other applications in the treatment of lung diseases. This article reviews the role and clinical application prospects of mesenchymal stem cells and their derived exosomes in chronic obstructive pulmonary disease and its complications.
8.Research progress on immune checkpoint inhibitors for the treatment of mismatch re-pair-deficient/microsatellite instability-high gastric cancer
Liu QINGHUA ; Wang HAOHAO ; Chen QINGJIE ; Luo RUIYING ; Luo CHANGJIANG
Chinese Journal of Clinical Oncology 2024;51(11):580-584
Mismatch repair-deficient/microsatellite instability-high(dMMR/MSI-H)gastric cancer represents a distinct molecular subtype of tumors characterized by pronounced sensitivity to immune checkpoint inhibitors(ICIs)attributed to its unique immune microenvironment and elevated mutation burden.Various clinical studies underscore the efficacy of ICIs in treating dMMR/MSI-H gastric cancer;however,chal-lenges such as primary and acquired resistance persist.Overcoming resistance and identifying optimal ICIs for its treatment remain critical clinical issues.This review delineates the mechanisms of ICIs,recent advances in their therapeutic application for dMMR/MSI-H gastric can-cer,and ongoing challenges in combating resistance,aiming to guide clinical practice effectively.
9.Limits for concentrations of radionuclides in food and drinking water
Cai GUO ; Duanjie YANG ; Ruiying WANG
Chinese Journal of Radiological Medicine and Protection 2024;44(10):896-900
The accident at Fukushima Daiichi Nuclear Power Plant has had a severe and ongoing impact on the surrounding marine environment. Tokyo Electric Power Company (TEPCO) discharged contaminated water from the accident into the ocean in 2023. This has raised concerns among the public on radiation safety. It is necessary to review and analyze the limits and standards for radionuclide activity concentrations in food and drinking water. Different measures are applied to controlling internal exposure via ingestion pathway, respectively, in planned exposure situations, emergency exposure situations or existing exposure situations, with different dose levels and dose concepts being adopted. IAEA, FAO, WHO and other international organizations have issued standards on radionuclide activity concentrations in food and drinking water. These guidelines include Codex Alimentarius Commission guidelines, WHO guidelines for drinking-water quality, operational intervention levels. The methodologies underlying these guidelines are similar, but the exposure situations and the parameters are different. After the Fukushima accident, Japan enacted and revised domestic legislation and requirements in line with the exposure situation to control and limit the radionuclide activity concentrations in food and drinking water. Restrictions are imposed on food produced in Fukushima and other prefectures. Other countries and the local organizations in Japan have also taken a wide range of measures to restrict the circulation and sales of the food from Fukushima area. Based on the experience gained from Fukushima accident and comparison of various categories of standards, this paper aims to present the recommendations on revise of standards in China with respect to applicable exposure situation, dose level, radionuclides considered, types of food, standards on drinking-water. Needs are also discussed to build a continuous and consistent protection system for the internal exposure via ingestion pathway, together with some other issues present in current standards.
10.Prediction of risk of in-hospital death in patients with chronic heart failure complicated by lung infections using interpretable machine learning
Caiyu SHEN ; Shuai WANG ; Ruiying ZHOU ; Yuhe WANG ; Qin GAO ; Xingzhi CHEN ; Shu YANG
Journal of Southern Medical University 2024;44(6):1141-1148
Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.

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