1.Clinical efficacy of Huangkui capsules in the treatment of targeted drug-related proteinuria in patients with hepatocellular carcinoma
Miao LI ; Jia YUAN ; Chu LIU ; Maopei CHEN ; Xin XU ; Ningling GE ; Yi CHEN ; Lan ZHANG ; Rongxin CHEN ; Yan WANG
Chinese Journal of Clinical Medicine 2026;33(1):88-94
Objective To investigate the therapeutic effect of Huangkui capsules on targeted drug-related proteinuria in patients with hepatocellular carcinoma (HCC). Methods A retrospective analysis was conducted on clinical data of HCC patients with targeted drug-related proteinuria from June 2023 to December 2024 at Zhongshan Hospital, Fudan University. According to the treatment plan, patients were divided into the conventional treatment group and the Huangkui combination treatment group (Huangkui capsules combined with conventional treatment), and the clinical efficacy between the two groups was compared. The logistic regression analysis was used to identify the main factors affecting treatment efficacy. Results The Huangkui combination treatment group (n=29) showed a significantly higher overall effective rate (79.3% vs 42.3%, P=0.005), and an earlier proteinuria improvement (median time: 3 months vs 6 months, P=0.008) than the conventional treatment group (n=26) . The multivariate logistic regression analysis showed angiotensin-converting enzyme inhibitor (ACEI) or angiotensin Ⅱ receptor blocker (ARB) using (OR=0.190, 95%CI 0.045-0.808, P=0.025), targeted drug adjustment (OR=0.132, 95%CI 0.030-0.581, P=0.007), and Huangkui capsules using (OR=0.168, 95%CI 0.039-0.730, P=0.017) were protective factors for treatment efficacy of targeted drug-related proteinuria. Conclusions On the basis of conventional treatment, additive treatment with Huangkui capsules can alleviate targeted drug-related proteinuria faster and more effectively in HCC patients.
2.Dynamic prediction of JC polyomavirus reactivation after kidney transplantation
Mengyao LI ; Chengfeng ZHANG ; Difei REN ; Xin LIANG ; Shuyu CHEN ; Yushi PENG ; Yanjie WANG ; Meng ZHANG ; Jian XU ; Zheng CHEN ; Yun MIAO ; Yibin WANG
Organ Transplantation 2026;17(4):635-643
Objective To construct a dynamic prediction model for JC polyomavirus (JCV) reactivation after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 128 recipients who met the inclusion criteria and received kidney transplantation in Nanfang Hospital, Southern Medical University, from June 2021 to December 2024. Dynamic Cox regression and dynamic restricted mean survival time (RMST) regression based on the landmark method were adopted to establish the dynamic prediction models, and Monte Carlo cross-validation was used to evaluate model performance. Results The dynamic models could predict the incidence and onset time of JCV reactivation within the subsequent 3 months according to covariates at each landmark time point from the 1st to the 6th month after transplantation. Remuzzi score, body mass index and warm ischemia time were independent risk factors for JCV reactivation, while a history of urinary BK polyomavirus reactivation served as a protective factor. The median values of the area under the curve, C-index and Brier score of the dynamic Cox model were 0.873, 0.851 and 0.065 respectively, and the C-index of the dynamic RMST model was 0.829, all of which were superior to those of the static model. Conclusions The landmark-based dynamic models exhibit excellent predictive performance, which may integrate baseline data and post-transplant follow-up information to realize dynamic assessment of the risk and time window of JCV reactivation, thereby providing evidence for optimizing post-operative monitoring and individualized intervention strategies.
3.Establishment and optimization of combined model of influenza and wind-heat syndrome in mice
Xiaoyan ZHANG ; Miao XIE ; Qishuai HU ; Xinxin FENG ; Yutao WANG ; Xin ZHAO ; Yanli LIANG ; Linyang CHEN ; Zifeng YANG
Acta Laboratorium Animalis Scientia Sinica 2025;33(8):1105-1115
Objective To establish a mouse model of H1N1 influenza wind-heat syndrome by combining climate intervention with influenza virus nasal drops.Methods Seventy-two BALB/c mice were divided randomly into nine groups:a Control group,wind-heat(FR)groups(FR-3Day,FR-5Day),and Model groups(1LD-3Day,2LD-3Day,3LD-3Day,1LD-5Day,2LD-5Day,2LD-5Day,3LD-5Day)(n=8 mice per group).Mice in the Control group were housed in a normal environment,while mice in the FR and Model groups were kept in wind-heat conditions for 7 d.Mice in the Model groups received nasal PR8 influenza virus infection on the 8th day,and mice in the Control and FR heat groups received equal amounts of physiological saline nasal drops.After virus challenge,each group was housed in a normal environment and samples were taken on days 3 and 5.The appearance of the mice was observed and recorded and the lung index,routine blood parameters,lung tissue pathology,serum interleukin(IL)-6 levels,and virus titers were detected in each group based on their behavioral status,stools,and body temperature.Results After 7 d of wind-heat intervention,mice in the FR groups showed no significant abnormalities in terms of appearance,stools,body temperature,routine blood parameters,or lung tissue pathology compared with the Control group.The appearance,lung index,red blood cell count,hemoglobin,hematocrit,pathological result,and body temperature in the Model groups worsened progressively with increasing time and toxin dosage,while the neutrophil percentage,lymphocyte percentage,virus titer,and serum IL-6 levels peaked on day 3 after viral attack,for the same viral dose,and then decreased slightly on day 5.Conclusions PR8 nasal drops and 7 d of wind-heat climate intervention can be used to establish a mouse model of influenza wind-heat syndrome.
4.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
5.Effect of carbon dioxide fractional laser combined with glucocorticoid on follicular helper T cells and B cell subsets in patients with advanced vitiligo
Lina ZHANG ; Chao LYU ; Zhixia FAN ; Xin WANG ; Juan SHEN ; Zhonglin ZHAO ; Jun′e FENG ; Guoying MIAO
Chinese Journal of Immunology 2025;41(5):1175-1181
Objective:To explore the effect of CO2 fractional laser combined with glucocorticoid(GC)on T follicular helper cell(Tfh)and B cell subsets in patients with advanced vitiligo(VL).Methods:Patients with advanced VL(128 cases)who were treated in Affiliated Hospital of Hebei University of Engineering from August 2019 to March 2022 were selected as research objects,and divided into group A(64 cases,CO2 fractional laser combined with GC)and group B(64 cases,CO2 fractional laser)according to different treatment methods,clinical efficacy and safety of the two groups were compared.Another healthy subjects(64 cases)were selected as control group.Collected clinical data of the three groups of subjects for comparative analysis.Randomized walking model was used to evaluate the effect of CO2 fractional laser combined with GC on immune function and inflammatory response in patients with advanced VL.Results:Compared with group B,group A had a higher clinical total effective rate(P<0.05)and a lower probability of adverse reactions(P<0.05).After treatment,compared with control group,proportion of Tfh2 and Tfh17 in group A had no significant difference(P>0.05),while proportion of Tfh2 and Tfh17 in group B still had significant difference(P<0.05);compared with group B,proportion of Tfh2 in group A after treatment was higher(P<0.05),while proportion of Tfh17 type was lower(P<0.05).After treat-ment,compared with control group,proportion of memory transformed B cell in group B was still significantly different(P<0.05).After treatment,compared with control group,levels of IgA,IgE and IgM in group B were still significantly different(P<0.05);compared with group B,level of IgM in group A was higher after treatment(P<0.05).After treatment,compared with control group,levels of IL-21 and IL-1β in group B were still significantly different(P<0.05);compared with group B,level of IL-10 in group A after treatment was higher(P<0.05),while levels of IL-21 and IL-1β were lower(P<0.05).Evaluation results of random walking model showed that the improvement of immune function and inflammatory reaction in group A was better than that in group B.Conclusion:CO2 fractional laser combined with GC can improve the immune function and inflammatory reaction of patients with advanced VL better after treatment,and the probability of adverse reactions is lower.
6.A machine learning-based model for predicting the risk of diabetic kidney disease in type 2 diabetes mellitus
Tingting LI ; Peng SU ; Jinbo CHEN ; Xiaoyan HE ; Yi CAO ; Xin ZHANG ; Qingling TANG ; Xubin MIAO ; Xiaohua LIANG ; Dong MA
Chinese Journal of Diabetes 2025;33(4):241-247
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.
7.Comparison of chemical constituents in traditional decoction and formula granule decoction of Wendan Decoction
Tan XUE ; Man-wen XU ; Xue-hua FAN ; Feng-yu DONG ; Yan MIAO ; Jia-ning SUN ; Jun-han SHI ; Lu ZHANG ; Jing YAO ; Rui-xin LIU
Chinese Traditional Patent Medicine 2025;47(2):384-394
AIM To compare the chemical constituents in traditional decoction and formula granule decoction of classical famous prescription Wendan Decoction.METHODS The HPLC fingerprints were established,after which the contents of adenosine,synephrine,liquiritin,naringin,hesperidin,6-gingerol and adenosine cyclophosphate were determined,cluster analysis,principal component analysis and multidimensional scaling analysis were adopted in the investigation of component differences,and the equivalent of formula granules was adjusted.RESULTS The similarities of HPLC fingerprints for 10 batches of traditional decoctions were higher than those of HPLC fingerprints for 9 batches of formula granule decoctions(P<0.01).Adenosine,synephrine,liquiritin,hesperidin and cyclic adenosine monophosphate demonstrated higher contents in traditional decoctions than those in formula granule decoctions(P<0.05),6-gingerol displayed lower content than that in the latter produced by manufacturers A,C(P<0.05),which was higher than that in the latter produced by manufacturer B(P<0.01).Various batches of traditional decoctions and formula granule decoctions could be obviously distinguished,adenosine,synephrine and hesperidin exhibited great influences on the classification of principal component analysis,and the quality of formula granule decoctions produced by manufacturer C was closer to that of traditional decoctions.After equivalent correction,the contents of various constituents in formula granule decoctions produced by manufacturers A,C showed no significant differences as compared with those in traditional decoction(P>0.05).CONCLUSION The formula granules of Wendan Decoction from different manufacturers exist quality differences,so the preparation process and extraction process of this preparation should be optimized to improve quality,and equivalent ratio should be adjusted according to actual requirements to ensure its scientific and rational clinical application.
8.Effect of carbon dioxide fractional laser combined with glucocorticoid on follicular helper T cells and B cell subsets in patients with advanced vitiligo
Lina ZHANG ; Chao LYU ; Zhixia FAN ; Xin WANG ; Juan SHEN ; Zhonglin ZHAO ; Jun′e FENG ; Guoying MIAO
Chinese Journal of Immunology 2025;41(5):1175-1181
Objective:To explore the effect of CO2 fractional laser combined with glucocorticoid(GC)on T follicular helper cell(Tfh)and B cell subsets in patients with advanced vitiligo(VL).Methods:Patients with advanced VL(128 cases)who were treated in Affiliated Hospital of Hebei University of Engineering from August 2019 to March 2022 were selected as research objects,and divided into group A(64 cases,CO2 fractional laser combined with GC)and group B(64 cases,CO2 fractional laser)according to different treatment methods,clinical efficacy and safety of the two groups were compared.Another healthy subjects(64 cases)were selected as control group.Collected clinical data of the three groups of subjects for comparative analysis.Randomized walking model was used to evaluate the effect of CO2 fractional laser combined with GC on immune function and inflammatory response in patients with advanced VL.Results:Compared with group B,group A had a higher clinical total effective rate(P<0.05)and a lower probability of adverse reactions(P<0.05).After treatment,compared with control group,proportion of Tfh2 and Tfh17 in group A had no significant difference(P>0.05),while proportion of Tfh2 and Tfh17 in group B still had significant difference(P<0.05);compared with group B,proportion of Tfh2 in group A after treatment was higher(P<0.05),while proportion of Tfh17 type was lower(P<0.05).After treat-ment,compared with control group,proportion of memory transformed B cell in group B was still significantly different(P<0.05).After treatment,compared with control group,levels of IgA,IgE and IgM in group B were still significantly different(P<0.05);compared with group B,level of IgM in group A was higher after treatment(P<0.05).After treatment,compared with control group,levels of IL-21 and IL-1β in group B were still significantly different(P<0.05);compared with group B,level of IL-10 in group A after treatment was higher(P<0.05),while levels of IL-21 and IL-1β were lower(P<0.05).Evaluation results of random walking model showed that the improvement of immune function and inflammatory reaction in group A was better than that in group B.Conclusion:CO2 fractional laser combined with GC can improve the immune function and inflammatory reaction of patients with advanced VL better after treatment,and the probability of adverse reactions is lower.
9.Analysis of endometrial microbiota characteristics in patients with varying degrees of intrauterine adhesions
Yiyang LUO ; Zhoulin ZHANG ; Yu XIAO ; Qiaoyun ZHOU ; Wenjun JIANG ; Wanfeng SONG ; Tianyu MIAO ; Xin AN ; Xiaowu HUANG
Chinese Journal of Reproduction and Contraception 2025;45(9):880-885
Objective:To investigate the characteristics of the endometrial microbiota in patients with varying degrees of intrauterine adhesion (IUA).Methods:This single-center cross-sectional observational study enrolled 115 patients with IUA who were treated at the Hysteroscopic Center of Fuxing Hospital, Capital Medical University, from May 2022 to October 2023. After quality control and data preprocessing, 81 samples met the inclusion criteria for analysis. Patients were grouped according to an established IUA scoring and grading system into mild IUA ( n=38) and moderate-to-severe IUA ( n=43). Endometrial tissue was collected under sterile conditions. Bacterial genomic DNA was extracted, the 16S rRNA V3-V4 region was amplified, and sequencing was performed on an Illumina platform. Differences in endometrial microbiota diversity and composition were compared between the two groups. Results:Patients with varying degrees of IUA exhibited comparable species richness, evenness and diversity of endometrial microbiota. At the phylum level, the endometrial microbiota across all subjects was predominantly composed of Proteobacteria, Firmicutes, Cyanobacteriota, Bacteroidota, and Actinobacteriota, with Proteobacteria (32.29%) and Firmicutes (23.82%) showing the highest mean relative abundances. At the genus level, Ralstonia (16.67%), Lactobacillus (13.45%), and Streptococcus (7.07%) were the most abundant genera. Group comparisons showed that the abundance of Ralstonia was higher in the mild IUA group, whereas Lactobacillus, Vibrio and Pseudoalteromonas were more abundant in the moderate-to-severe IUA group; however, these differences did not reach statistical significance (all P>0.05). LEfSe analysis further indicated that Lactobacillus, Vibrio, Pseudoalteromonas, Aeromonas, Ureaplasma and Acetobacterium were relatively enriched in the moderate-to-severe IUA group, while Geobacillus, Stomatobaculum and Fusicatenibacter were more abundant in the mild IUA group. Conclusion:The composition of the endometrial microbiota differs among patients with varying IUA severity. IUA progression may be associated with alterations in the endometrial microbiota; however, causal relationships and underlying mechanisms require further investigation.
10.Study on the clinical value of dynamic AI ultrasonic intelligent assisted diagnosis system for preoperative evaluation of thyroid nodules with diameter≤1.0 cm
Xin MIAO ; Shaoteng XIE ; Zheng WAN ; Wen TIAN ; Bing WANG ; Jing YAO ; Zelong YANG ; Yanbing JIAN ; Junwen DING ; Linlin ZHANG ; Chen LI
Chinese Journal of Endocrine Surgery 2025;19(1):24-29
Objective:To investigate the clinical value of dynamic AI ultrasonic intelligent assisted diagnosis system for preoperative evaluation of thyroid nodules with diameter ≤1.0 cm.Methods:From Apr. 1, 2023, to Dec. 30, 2023, 742 thyroid nodules with diameter ≤1.0 cm were removed from 532 patients with thyroid nodule disease who received surgical treatment in the Department of Thyroid (hernia) of the First Medical Center of the Chinese People’s Liberation Army General Hospital. Among them, 423 were d≤0.5 cm. 319 cases (235 males and 507 females) with 0.5

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