1.Thoughts and practices on research and development of new traditional Chinese medicine drugs under "three combined" evaluation evidence system.
Yu-Qiao LU ; Yao LU ; Geng LI ; Tang-You MAO ; Ji-Hua GUO ; Yong ZHU ; Xue WANG ; Xiao-Xiao ZHANG
China Journal of Chinese Materia Medica 2025;50(7):1994-2000
In recent years, the reform of the registration, evaluation, and approval system for traditional Chinese medicine(TCM) has been promoted at the national level, with establishment of an evaluation evidence system for TCM registration that combines TCM theory, human use experience, and clinical trials(known as the "three-combined" evaluation evidence system). This system, which aligns with the characteristics of TCM clinical practice and the laws of TCM research and development, recognizes the unique value of human use experience in medicine and returns to the essence of medicine as an applied science, thus receiving widespread recognition from both academia and industry. However, it meanwhile poses new and higher challenges. This article delves into the value and challenges faced by the "three-combined" evaluation evidence system from three perspectives: registration management, medical institutions, and the TCM industry. Furthermore, it discusses how the China Association of Chinese Medicine, leveraging its academic platform advantages and leading roles, has made exploratory and practical efforts to facilitate the research and development of new TCM drugs and the implementation of the "three-combined" evaluation evidence system.
Drugs, Chinese Herbal/standards*
;
Humans
;
Medicine, Chinese Traditional/standards*
;
China
;
Drug Development
2.GPSM2 is highly expressed in gastric cancer to affect patient prognosis by promoting tumor cell proliferation.
Xue SONG ; Yue CHEN ; Min ZHANG ; Nuo ZHANG ; Lugen ZUO ; Jing LI ; Zhijun GENG ; Xiaofeng ZHANG ; Yueyue WANG ; Lian WANG ; Jianguo HU
Journal of Southern Medical University 2025;45(2):229-238
OBJECTIVES:
To explore the association between GPSM2 expression level and gastric cancer progression and analyze the functional pathways and action mechanism of GPSM2.
METHODS:
We analyzed GPSM2 expression levels in gastric cancer tumors based on data from the GEPIA database and the clinical data of 109 patients. Public databases enrichment analysis were used to assess the impact of GPSM2 expression level on survival outcomes and the functional pathways and action mechanism of GPSM2. We further observed the effects of GPSM2 knockdown and overexpression on proliferation, migration and apoptosis of MGC803 cells using CCK-8 assay, colony formation assay, flow cytometry and immunoblotting and on the growth of MGC803 cell xenografts in nude mice.
RESULTS:
Bioinformatic analysis and immunohistochemical staining of the clinical specimens both revealed high GPSM2 expressions in gastric cancer (P<0.01). A high GPSM2 expression was significantly correlated with T3-4 stages, N2-3 stages, a carcinoembryonic antigen (CEA) level ≥5 μg/L, and a carbohydrate antigen (CA) 19-9 level ≥37 kU/L (P<0.05). Cox regression analysis identified high GPSM2 expression as an independent risk factor affecting 5-year survival of the patients (P<0.05). Gene ontology (GO) analysis suggested that GPSM2 was involved in cell cycle regulation. In MGC803 cells, GPSM2 overexpression significantly promoted cell proliferation and G1/S transition and xenograft growth in nude mice. KEGG pathway enrichment analysis indicated that GPSM2 executed its biological functions by regulating the p53 signaling pathway, which was confirmed by the results of immunoblotting experiments showing suppression of p53 signaling pathway activity in GPSM2-over expressing MGC803 cells.
CONCLUSIONS
GPSM2 is highly expressed in gastric cancer to affect patient prognosis by promoting tumor cell proliferation and G1/S transition possibly via inhibiting the p53 pathway.
Stomach Neoplasms/metabolism*
;
Humans
;
Cell Proliferation
;
Prognosis
;
Animals
;
Mice, Nude
;
Cell Line, Tumor
;
Mice
;
Apoptosis
;
Tumor Suppressor Protein p53/metabolism*
;
Cell Movement
3.High MYO1B expression promotes proliferation, migration and invasion of gastric cancer cells and is associated with poor patient prognosis.
Qingqing HUANG ; Wenjing ZHANG ; Xiaofeng ZHANG ; Lian WANG ; Xue SONG ; Zhijun GENG ; Lugen ZUO ; Yueyue WANG ; Jing LI ; Jianguo HU
Journal of Southern Medical University 2025;45(3):622-631
OBJECTIVES:
To analyze MYO1B expression in gastric cancer, its association with long-term prognosis and its role in regulating biological behaviors of gastric cancer cells.
METHODS:
We analyzed MYO1B expression in gastric cancer and its correlation with tumor grade, tumor stage, and patient survival using the Cancer Public Database. We also examined MYO1B expression with immunohistochemistry in gastric cancer and paired adjacent tissues from 105 patients receiving radical surgery and analyzed its correlation with cancer progression and postoperative 5-year survival of the patients. GO and KEGG enrichment analyses were used to explore the biological functions of MYO1B and the key pathways. In cultured gastric cancer cells, we examined the changes in cell proliferation, migration and invasion following MYO1B overexpression and knockdown.
RESULTS:
Data from the Cancer Public Database showed that MYO1B expression was significantly higher in gastric cancer tissues than in normal tissues with strong correlations with tumor grade, stage and patient prognosis (P<0.05). In the clinical tissue samples, MYO1B was significantly overexpressed in gastric cancer tissues in positive correlation with Ki67 expression (r=0.689, P<0.05) and the parameters indicative of gastric cancer progression (CEA ≥5 μg/L, CA19-9 ≥37 kU/L, G3-4, T3-4, and N2-3) (P<0.05). Kaplan-Meier analysis and multivariate Cox regression analysis suggested that high MYO1B expression was associated with decreased postoperative 5-year survival and was an independent risk factor (HR: 3.522, 95%CI: 1.783-6.985, P<0.05). MYO1B expression level was a strong predictor of postoperative survival (cut-off value: 3.11, AUC: 0.753, P<0.05). GO and KEGG analyses suggested that MYO1B may regulate cell migration and the mTOR signaling pathway. In cultured gastric cancer cells, MYO1B overexpression significantly enhanced cell proliferation, migration, and invasion and promoted the phosphorylation of Akt and mTOR.
CONCLUSIONS
High MYO1B expression promotes proliferation, migration and invasion of gastric cancer cells and is correlated with poor patient prognosis.
Humans
;
Stomach Neoplasms/metabolism*
;
Cell Proliferation
;
Prognosis
;
Cell Movement
;
Myosin Type I/genetics*
;
Neoplasm Invasiveness
;
Cell Line, Tumor
;
Female
;
Male
4.Elevated TMCO1 expression in gastric cancer is associated poor prognosis and promotes malignant phenotypes of tumor cells by inhibiting apoptosis.
Bowen SONG ; Renjie ZHOU ; Ying XU ; Jinran SHI ; Zhizhi ZHANG ; Jing LI ; Zhijun GENG ; Xue SONG ; Lian WANG ; Yueyue WANG ; Lugen ZUO
Journal of Southern Medical University 2025;45(11):2385-2393
OBJECTIVES:
To investigate the impact of high expression of transmembrane and coiled helix structural domain 1 (TMCO1) on prognosis of gastric cancer and the possible mechanisms.
METHODS:
TMCO1 expression in gastric cancer and its effect on gastric cancer progression and prognosis were analyzed using publicly available databases and clinical data of patients undergoing radical surgery in our hospital, and its possible biological functions were explored using KEGG and GO analyses. In gastric cancer HGC-27 cells, the effects of lentivirus-mediated TMCO1 overexpression and TMCO1 silencing on cell apoptosis, proliferation, invasion and migration were examined.
RESULTS:
TMCO1 expression was significantly elevated in gastric cancer tissues (P<0.05), and its high expression was positively correlated with cancer progression (P<0.001) and a lowered postoperative 5-year survival rate of the patients (P<0.05). Bioinformatic analyses suggested that TMCO1 may affect gastric cancer cell apoptosis via Wnt signaling. In HGC-27 cells, TMCO1 overexpression significantly promoted tumor cell proliferation, inhibited cell apoptosis, and enhanced cell migration and invasion, whereas TMCO1 silencing produced the opposite effects. Western blotting showed that β-catenin levels were significantly upregulated in TMCO1-overexpressing cells and downregulated in cells with TMCO1 silencing.
CONCLUSIONS
TMCO1 is overexpressed in gastric cancer tissues, and its high expression promotes gastric cancer progression and affects long-term prognosis of the patients possibly by activating the Wnt/ β-catenin signaling pathway to inhibit apoptosis of gastric cancer cells.
Humans
;
Stomach Neoplasms/metabolism*
;
Apoptosis
;
Prognosis
;
Cell Line, Tumor
;
Cell Proliferation
;
Cell Movement
;
Wnt Signaling Pathway
;
beta Catenin/metabolism*
;
Gene Expression Regulation, Neoplastic
5.Corrigendum to "Hydralazine represses Fpn ubiquitination to rescue injured neurons via competitive binding to UBA52" J. Pharm. Anal. 14 (2024) 86-99.
Shengyou LI ; Xue GAO ; Yi ZHENG ; Yujie YANG ; Jianbo GAO ; Dan GENG ; Lingli GUO ; Teng MA ; Yiming HAO ; Bin WEI ; Liangliang HUANG ; Yitao WEI ; Bing XIA ; Zhuojing LUO ; Jinghui HUANG
Journal of Pharmaceutical Analysis 2025;15(4):101324-101324
[This corrects the article DOI: 10.1016/j.jpha.2023.08.006.].
6.Longitudinal Associations between Vitamin D Status and Systemic Inflammation Markers among Early Adolescents.
Ting TANG ; Xin Hui WANG ; Xue WEN ; Min LI ; Meng Yuan YUAN ; Yong Han LI ; Xiao Qin ZHONG ; Fang Biao TAO ; Pu Yu SU ; Xi Hua YU ; Geng Fu WANG
Biomedical and Environmental Sciences 2025;38(1):94-99
7.Burden of Headache Disorders in China and its Provinces, 1990-2021.
Zhe LIU ; Xue Hua HU ; Lin YANG ; Jin Lei QI ; Jiang Mei LIU ; Li Jun WANG ; Mai Geng ZHOU ; Peng YIN
Biomedical and Environmental Sciences 2025;38(5):547-556
OBJECTIVE:
To analyze the prevalence and burden of headache disorders in China and its provinces from 1990 to 2021.
METHODS:
Using data from the Global Burden of Disease Study (GBD) 2021, the number of prevalent cases, prevalence rate, disability-adjusted life years (DALYs), and age-standardized DALY rates were analyzed by sex, age group, and province for headache disorders and their subtypes (migraine and tension-type headache [TTH]) between 1990 and 2021. Percentage changes during this period were also estimated.
RESULTS:
In 2021, approximately 426 million individuals in China were affected by headache disorders, with an age-standardized prevalence rate of 27,582.61/100,000. The age-standardized DALY rate for all headache disorders was 487.15/100,000. Between 1990 and 2021, the number of prevalent cases increased by 37.78%, while the prevalence of all headache disorders, migraine, and TTH increased by 6.92%, 7.57%, and 7.86%, respectively. The highest prevalence was observed in the 30-34 age group (39,520.60/100,000). Migraine accounted for a larger proportion of DALYs attributable to headache disorders, whereas TTH has a greater impact on its prevalence. In 2021, the highest age-standardized DALY rates for headache disorders were observed in Heilongjiang (617.85/100,000) and Shanghai (542.86/100,000).
CONCLUSION
The prevalence of headache disorders is increasing in China. Effective health education, improve diagnosis and treatment are essential, particularly for middle-aged working populations and women of childbearing age.
Humans
;
China/epidemiology*
;
Female
;
Male
;
Adult
;
Middle Aged
;
Prevalence
;
Young Adult
;
Adolescent
;
Aged
;
Child
;
Headache Disorders/epidemiology*
;
Disability-Adjusted Life Years
;
Child, Preschool
;
Cost of Illness
;
Infant
;
Aged, 80 and over
8.Bioinformatic analysis of TCGA database based on INPP4B gene expression in hepatocellular carcinoma and its experimental validation
Limei WEN ; Yali GUO ; Wenmei MA ; Taotao XUE ; Ruoyu GENG ; Chong MA ; Xinhong ZHANG ; Jianhua YANG
Journal of Jilin University(Medicine Edition) 2025;51(6):1618-1629
Objective:To discuss the expression and clinical significance of inositol polyphosphate-4-phosphatase type Ⅱ(INPP4B)gene in hepatocellular carcinoma(HCC)based on The Cancer Genome Atlas(TCGA)database and experimental verification with clinical samples.Methods:Based on data from 424 clinical samples in the TCGA database(including 374 HCC tissues and 50 paracarcinoma tissues),Kaplan-Meier method and Cox regression analysis were used to evaluate the relationship between INPP4B gene and the clinical characteristics and survival prognosis of the HCC patients.The correlations between INPP4B gene and the number of 24 types of immune cells,matrix,immune cell infiltration and tumor purity in tumor tissue,and the expression level of the high-frequency mutant gene tumor protein 53(TP53)in HCC were analyzed.The clinicopathological data and paraffin-embedded tissue sections of 60 HCC patients treated with surgical resection from December 2022 to December 2023 were collected.According to clinical diagnosis,they were divided into poorly differentiated group(HCC-L group),moderately differentiated group(HCC-M group)and well-differentiated group(HCC-H group),with 20 cases in each group;20 patients during the same period who underwent biopsy and were pathologically diagnosed as non-tumor were selected as normal group,and their clinicopathologic data and liver tissue paraffin sections were collected.HE staining was used to observe the pathomorphology of HCC tissue and normal liver tissue of the subjects in various groups;immunohistochemistry method was used to detect the expressions of Ki-67 and INPP4B proteins in the HCC tissue and normal liver tissue of the subjects in various groups.Results:The TCGA database analysis results showed that compared with normal tissue,the expression level of INPP4B mRNA in HCC tissue was significantly increased(P<0.01).Compared with INPP4B low expression group,the overall survival(OS)of the patients in INPP4B high expression group was significantly prolonged(P<0.05).The univariate Cox regression analysis results showed that tumor stage,pathological stage,tumor status and residual tumor had impacts on OS of the HCC patients(P<0.05).The univariate regression analysis results showed that the INPP4B prognostic risk model score ratio was HR=0.781,95%confidence interval(CI):0.552-1.105,P=0.168.The AUC value for the impact of INPP4B on OS of the HCC patients was 0.558,indicating that the INPP4B gene prognostic risk model had certain predictive value in survival prognosis.The INPP4B mRNA expression level was not correlated with TNM stage,stage,patient gender,age,race or body mass index(BMI)(P>0.05).In tumor tissue with high and low INPP4B expression,22 types of immune cells showed statistically significant differences(P<0.05);the INPP4B mRNA expression level was positively correlated with the number of 23 types of immune cells except T helper(Th)17 cells(r>0),among which all Th cells except natural killer(NK)CD56+cells were statistically significant(P<0.01);INPP4B was significantly correlated with matrix(r=0.475),immune cell infiltration(r=0.641)and tumor purity(r=0.599)in tumor tissue(P<0.01).INPP4B was correlated with TP53(r=0.287,P<0.01).The HE staining results showed that clear and complete lobular structure,neatly arranged cells and slight inflammatory cell infiltration were observed in liver tissue of the subjects in normal group;completely destroyed lobular structure,significant hepatocellular steatosis,massive inflammatory cell infiltration,and lesions such as ballooning degeneration and small cell hyperplasia in some cells were observed in HCC tissue of the patients in HCC-L,HCC-M and HCC-H groups,and the lower the HCC differentiation degree,the more severe the tissue destruction;The immunohistochemistry results showed that compared with normal group,the expression levels of Ki-67 protein in HCC tissue of the patients in HCC-L,HCC-M and HCC-H groups were significantly increased(P<0.01),and the lower the differentiation degree of the HCC patients,the higher the Ki-67 positive rate.Brownish-yellow granules evenly distributed in the cells and INPP4B protein was highly expressed in liver tissue of the subjects in normal group;compared with normal group,the expression levels of INPP4B protein in HCC tissue of the patients in HCC-L,HCC-M and HCC-H groups were significantly decreased(P<0.01),and the lower the differentiation degree of the HCC tissue,the lower the INPP4B positive rate.Conclusion:INPP4B is a protective factor for the prognosis of HCC patients;as a new tumor suppressor gene,INPP4B may become a potential target for new drug screening in HCC treatment.
9.Expression and diagnostic value of CYBB and CSF1R in chronic rhinosinusitis with nasal polyps
Yu-Long MA ; Geng LI ; Jing-Fang WU ; Gang XUE ; Xu LIN
Medical Journal of Chinese People's Liberation Army 2025;50(1):35-43
Objective To analyze the gene expression characteristics of chronic rhinosinusitis with nasal polyps(CRSwNP)using bioinformatics methods,aim to investigate the potential biomarkers and their diagnostic value of CRSwNP.Methods(1)The CRSwNP Gene expression data set was downloaded from the American Gene Expression Omnibus(GEO)database.The differentially expressed genes(DEGs)between CRSwNP patients and healthy controls were screened through data analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis were performed on the identified DEGs.Protein-protein interaction(PPI)networks were constructed utilizing the STRING database,and the key genes were identified by using the cytoHubba plugin.The"Cibersort"package was used to analyze the influence of key genes on common immune cells.(2)Thirty-two patients diagnosed with CRSwNP in the First Affiliated Hospital of Hebei North University from June 2022 to June 2023 were selected as the CRSwNP group,and 21 patients with simple deviation of nasal septum without a history of sinusitis during the same period were selected as control group.The pathological characteristics of specimens in the two groups were examined using hematoxylin-eosin(HE)staining.Immunohistochemistry and Western blotting were used to detect the expression levels of key genes in CRSwNP.The levels of key proteins in plasma were detected using ELISA,and ROC curve was used to analyze its efficacy in diagnosing CRSwNP.Results(1)Analysis of three gene expression database sets(GSE36830,GSE23552,and GSE194282)showed that there were 156 DEGs in CRSwNP.GO functional enrichment and KEGG pathway analysis indicated that the functions of the above DEGs were mostly related to immune functions.Key genes such as cytochrome b-245 β chain(CYBB)and colony-stimulating factor 1 receptor(CSF1R)were identified.(2)The results of HE staining revealed that the epithelial of CRSwNP tissue was metaplastic into stratified squamous epithelium with interstitial edema.Both immunohistochemistry and Western blotting analyses indicated that the expression levels of CYBB and CSF1R in the CRSwNP group were significantly increased compared to control group(P<0.05).ELISA results demonstrated that CYBB[(21.20±3.00)μg/ml vs.(17.66±1.66)μg/ml,P<0.05]and CSF1[(477.37±86.63)pg/ml vs.(370.71±66.24)pg/ml,P<0.05]in CRSwNP group were significantly increased compare to control group.ROC curve analysis showed that plasma concentrations of CYBB and CSF1 had AUCs of 0.888(95%CI 0.802-0.974)and 0.821(95%CI 0.711-0.931)for diagnosing of CRSwNP,respectively;their combined AUC was 0.927(95%CI 0.851-1.000).Conclusions CYBB and CSF1R may be involved in the occurrence and development of CRSwNP.Plasma CYBB and CSF1 have high diagnostic value for CRSwNP.
10.Construction of a postoperative mortality risk model for patients with acute aortic dissection based on XGBoost-SHAP method
Xin ZHANG ; Min FANG ; Yi CAO ; Ting-Ting LI ; Xian-Kong LIU ; Jia-Yi DANG ; Xue-Sen ZHAO ; Hong-Qin REN ; Jia-Ze GENG ; Kai-Wen WANG ; Tie-Sheng HAN ; Yong-Bo ZHAO ; Dong MA
Medical Journal of Chinese People's Liberation Army 2025;50(10):1226-1234
Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

Result Analysis
Print
Save
E-mail