1.Correlation of mitochondrial genetic differentiation and spatial variables of Oncomelania hupensis robertsoni in Yunnan Province
Yuanyuan ZHANG ; Jing SONG ; Yuwan HAO ; Zaogai YANG ; Xinping SHI ; Siqi NING ; Hongqiong WANG ; Chunhong DU ; Jihua ZHOU ; Zongya ZHANG ; Kai LI ; Shizhu LI ; Yi DONG
Chinese Journal of Schistosomiasis Control 2026;38(1):54-59
Objective Objective To analyze the potential spatial factors affecting the genetic differentiation of Oncomelania hupensis robertsoni in Yunnan Province. Methods A total of 13 administrative villages were selected from schistosomiasis-endemic areas of Yunnan Province as O. hupensis snail sampling sites. At least 200 snails were collected in each site, and the spatial variable data of each site were recorded, including longitude, latitude and altitude. Thirty active and Schistosoma japonicum uninfected O. hupensis snails were selected from each sampling site by means of the crawling method and the cercarial shedding method. Genomic DNA was extracted from O. hupensis snails. Following PCR amplification, purification of PCR amplification products and sequencing, the gene sequences of O. hupensis snail samples were spliced and edited using the DNAstar software and the NCBI database to yield the complete mitochondrial sequences of O. hupensis snails at each sampling site, and the mitochondrial genetic distance matrix of O. hupensis robertsoni was calculated at each sampling site. The geographical coordinates of each sampling site were marked using the software ArcGIS 10.2, and the straight-line geographical distance between each sampling site was calculated. The altitude difference, longitude difference and latitude difference between each sampling site were calculated using the Excel software, and the correlation between the mitochondrial genetic distance matrix of O. hupensis robertsoni and each spatial variable matrix was examined by using the Mantel test at 13 sampling sites in Yunnan Province. Results Among the 13 O. hupensis snail sampling sites in Yunnan Province, the largest mitochondrial genetic distance of O. hupensis robertsoni snail populations was seen between Anding Village, Nanjian Yi Autonomous County and Caizhuang Village, Midu County (26.244 2), and the largest geographical distance was seen between Dongyuan Village, Gucheng District and Cangling Village, Chuxiong County (272.64 km). The highest altitude difference was seen between Anding Village, Nanjian Yi Autonomous County and Dongyuan Village, Gucheng District (1 086.10 m), and the largest longitude difference was found between Qiandian Village, Eryuan County and Cangling Village, Chuxiong County (1.86°), while the largest latitude difference was measured between Leqiu Village, Nanjian Yi Autonomous County and Dongyuan Village, Gucheng District (1.81°). In addition, the mitochondrial genetic distance of O. hupensis robertsoni snail populations was positively correlated with altitude at 13 snail sampling sites in Yunnan Province (r = 0.542 8, P < 0.001), and showed no significant correlations with geographical distance (r = 0.093 4, P > 0.05), longitude (r = −0.199 5, P > 0.05) or latitude (r = 0.205 7, P > 0.05). Conclusion Altitude may be a potential spatial factor affecting the genetic differentiation of O. hupensis robertsoni in Yunnan Province.
2.Study on the compatibility stability of 16 commonly used intravenous antibiotics in ICU
Liting ZHANG ; Haotian YANG ; Siqi YU ; Liju FAN ; Jing AN
China Pharmacy 2026;37(4):468-475
OBJECTIVE To systematically analyze the compatibility stability of commonly used intravenous antibiotics in the intensive care unit (ICU), and to provide evidence-based support for rational clinical drug use. METHODS Medication data from the ICU of Hebei General Hospital between January and December 2024 were extracted from the Prescription Automatic Screening System. Commonly used intravenous antibiotics and other intravenous drugs in the ICU were selected through consultations with critical care and pharmacy experts in Hebei province, drug package inserts and compatibility information retrieved from Micromedex, Trissel’s Injectable Drug Handbook and PubMed. The physicochemical stability of drug combinations was analyzed. In addition, Cytoscape 3.10.2 software was used to construct a drug compatibility network for identifying high-risk drugs. RESULTS &CONCLUSIONS A total of 904 pairwise drug combinations involving 16 antibacterial agents and 65 intravenous drugs were collected. Among them, 549 combinations (60.7%) were compatible, 88 combinations (9.7%) were incompatible, 82 combinations (9.1%) had conflicting evidence, and 185 combinations (20.5%) lacked valid data support. High-risk combination drugs primarily involved Amphotericin B for injection, Ceftazidime for injection, Imipenem-cilastatin for injection, Ceftriaxone sodium for injection, Vancomycin hydrochloride for injection, etc. The main risk factors for drug-drug incompatibility included drug concentration, temperature, mixing rate, pH, and chemical structure. In clinical practice, drugs and diluents should be selected rationally based on specific compatibility data, and research and monitoring of drug compatibility should be further strengthened.
3.Mechanisms of Qizhujianwei Granules in Blocking Malignant Progression of Gastric Intraepithelial Neoplasia
Yuling YU ; Yanmin WANG ; Siqi WANG ; Yateng SUN ; Yunhe WANG ; Yonghuang YAN ; Xinyu YANG ; Siqi HAN ; Yuhong SONG ; Yuhan WANG ; Cai ZHANG ; Zeqi SU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):143-151
ObjectiveTo investigate the effects of Qizhujianwei granules (QZJW) on abnormal proliferation and malignant transformation of gastric mucosal cells in rats with gastric intraepithelial neoplasia (GIN) and to explore the related mechanisms. MethodsA total of 80 SPF male Wistar rats were used. A GIN rat model was established using a four-factor comprehensive method consisting of methylnitronitrosoguanidine (MNNG), ranitidine, irregular feeding patterns, and sodium salicylate. Except for the normal group, after successful modeling, the rats were randomly divided according to body weight into a model group, a Moluodan group (0.55 g·kg-1), and a QZJW group (7.34 g·kg-1), with 12 rats in each group. All groups were treated for 8 weeks. The general characteristics of the rats and morphological changes of the gastric mucosa were observed. Histopathological changes of the gastric mucosa were examined by hematoxylin-eosin (HE) staining. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum levels of pepsinogenⅠ (PGⅠ), pepsinogenⅡ (PGⅡ), and gastrin (G-17), as well as the expression level of transforming growth factor-β1 (TGF-β1) in gastric mucosal tissue, and the PGⅠ/PGⅡ ratio was calculated. Immunohistochemistry (IHC) was used to detect the localization and expression levels of proliferating cell nuclear antigen (Ki-67) and Vimentin in gastric mucosal tissue. Western blot analysis was used to determine the protein expression levels of Wnt family member 3A (Wnt3a), β-catenin, CyclinD1, proto-oncogene Cmyc, transforming growth factor-β receptor Ⅰ (TGFβRⅠ), intracellular signaling transducers Smad2/3, phosphorylated (p)-Smad2/3, twist family transcription factor (Twist1), and Vimentin in gastric mucosal tissue. ResultsCompared with the normal group, the model group showed characteristic changes including dim eyes, pale ears and claws, dark-red tongue, and reduced luster of the tail. The gastric mucosa appeared pale, with surface congestion and erosion. The gastric mucosal glands were disordered, the nuclear-to-cytoplasmic ratio increased, and local tumor cells were observed. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly decreased (P<0.01), while the level of G-17 was significantly increased (P<0.01). The protein expression levels of Ki-67, Wnt3a, β-catenin, CyclinD1, Cmyc, TGF-β1, TGFβRⅠ, Smad2/3, Twist1, and Vimentin in gastric mucosal tissue were significantly increased (P<0.05, P<0.01), whereas the ratio of p-Smad2/3 to Smad2/3 was significantly decreased (P<0.05). Compared with the model group, the general characteristics and gastric mucosal conditions of rats in the Moluodan group and the QZJW group were improved. HE staining showed that QZJW could effectively block the malignant progression of GIN. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly increased (P<0.05, P<0.01), while the level of G-17 was significantly decreased (P<0.01). The protein expression levels of Ki-67, Wnt3a, β-catenin, CyclinD1, Cmyc, TGF-β1, TGFβRⅠ, Smad2/3, Twist1, and Vimentin in gastric mucosal tissue were significantly decreased (P<0.05, P<0.01). ConclusionQZJW have a therapeutic effect on rats with GIN. The mechanism may involve inhibition of the Wnt/β-catenin signaling pathway to regulate the cell cycle and suppress abnormal cell proliferation. Meanwhile, it may inhibit epithelial-mesenchymal transition by suppressing the TGF-β1/Smad/Twist1 signaling pathway, thereby blocking the malignant progression of GIN.
4.Mechanisms of Qizhujianwei Granules in Blocking Malignant Progression of Gastric Intraepithelial Neoplasia
Yuling YU ; Yanmin WANG ; Siqi WANG ; Yateng SUN ; Yunhe WANG ; Yonghuang YAN ; Xinyu YANG ; Siqi HAN ; Yuhong SONG ; Yuhan WANG ; Cai ZHANG ; Zeqi SU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):143-151
ObjectiveTo investigate the effects of Qizhujianwei granules (QZJW) on abnormal proliferation and malignant transformation of gastric mucosal cells in rats with gastric intraepithelial neoplasia (GIN) and to explore the related mechanisms. MethodsA total of 80 SPF male Wistar rats were used. A GIN rat model was established using a four-factor comprehensive method consisting of methylnitronitrosoguanidine (MNNG), ranitidine, irregular feeding patterns, and sodium salicylate. Except for the normal group, after successful modeling, the rats were randomly divided according to body weight into a model group, a Moluodan group (0.55 g·kg-1), and a QZJW group (7.34 g·kg-1), with 12 rats in each group. All groups were treated for 8 weeks. The general characteristics of the rats and morphological changes of the gastric mucosa were observed. Histopathological changes of the gastric mucosa were examined by hematoxylin-eosin (HE) staining. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum levels of pepsinogenⅠ (PGⅠ), pepsinogenⅡ (PGⅡ), and gastrin (G-17), as well as the expression level of transforming growth factor-β1 (TGF-β1) in gastric mucosal tissue, and the PGⅠ/PGⅡ ratio was calculated. Immunohistochemistry (IHC) was used to detect the localization and expression levels of proliferating cell nuclear antigen (Ki-67) and Vimentin in gastric mucosal tissue. Western blot analysis was used to determine the protein expression levels of Wnt family member 3A (Wnt3a), β-catenin, CyclinD1, proto-oncogene Cmyc, transforming growth factor-β receptor Ⅰ (TGFβRⅠ), intracellular signaling transducers Smad2/3, phosphorylated (p)-Smad2/3, twist family transcription factor (Twist1), and Vimentin in gastric mucosal tissue. ResultsCompared with the normal group, the model group showed characteristic changes including dim eyes, pale ears and claws, dark-red tongue, and reduced luster of the tail. The gastric mucosa appeared pale, with surface congestion and erosion. The gastric mucosal glands were disordered, the nuclear-to-cytoplasmic ratio increased, and local tumor cells were observed. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly decreased (P<0.01), while the level of G-17 was significantly increased (P<0.01). The protein expression levels of Ki-67, Wnt3a, β-catenin, CyclinD1, Cmyc, TGF-β1, TGFβRⅠ, Smad2/3, Twist1, and Vimentin in gastric mucosal tissue were significantly increased (P<0.05, P<0.01), whereas the ratio of p-Smad2/3 to Smad2/3 was significantly decreased (P<0.05). Compared with the model group, the general characteristics and gastric mucosal conditions of rats in the Moluodan group and the QZJW group were improved. HE staining showed that QZJW could effectively block the malignant progression of GIN. Serum PGⅠ and PGⅡ levels and the PGⅠ/PGⅡ ratio were significantly increased (P<0.05, P<0.01), while the level of G-17 was significantly decreased (P<0.01). The protein expression levels of Ki-67, Wnt3a, β-catenin, CyclinD1, Cmyc, TGF-β1, TGFβRⅠ, Smad2/3, Twist1, and Vimentin in gastric mucosal tissue were significantly decreased (P<0.05, P<0.01). ConclusionQZJW have a therapeutic effect on rats with GIN. The mechanism may involve inhibition of the Wnt/β-catenin signaling pathway to regulate the cell cycle and suppress abnormal cell proliferation. Meanwhile, it may inhibit epithelial-mesenchymal transition by suppressing the TGF-β1/Smad/Twist1 signaling pathway, thereby blocking the malignant progression of GIN.
5.Advancement of functional peptides: Promising candidates for antituberculosis therapeutics
Bojie LIN ; Siqi LIN ; Jiayi YANG ; Xuanyu YANG ; Shuhui WANG ; Yuting LIU ; Qianqian ZHANG ; Junfa XU ; Jiang PI ; Fen YANG
Science of Traditional Chinese Medicine 2026;4(1):24-32
Tuberculosis (TB), a chronic infectious disease caused by Mycobacterium tuberculosis, is primarily airborne and remains a global health problem, especially in resource-limited countries and regions. The emergence of drug resistance in M. tuberculosis has rendered the existing means ineffective in the treatment of TB. Therefore, research in new therapeutic directions has become imperative. In this review, we outline functional peptides in terms of the mechanisms of action, anti-TB attempts, advantages and disadvantages, and latest advances, aiming to analyze the research progress in anti-TB peptides. Furthermore, we investigate the potential applications of bioactive compounds found in traditional Chinese Medicine within the context of peptides.
6.Integrated evidence chain (Eff-iEC) based effectiveness evaluation of a multifunctional traditional Chinese medicine formula: Taking Xiaoyao San as an example
Caiping HE ; Ye LUO ; Zhiqi LI ; Haocheng YANG ; Lu LIU ; Yingjie XU ; Xiaoyan CHEN ; Siqi HUANG ; Jincai WEN ; Xiaoyan ZHAN ; Zhaofang BAI ; Xu ZHAO ; Xiaohe XIAO
Science of Traditional Chinese Medicine 2026;4(1):96-103
The study focuses on the concept of multifunctional traditional Chinese medicine (TCM) formulas and aims to evaluate the efficacy of the classical formula Xiaoyao San (逍遥散). Study employs the integrated evidence chain (Eff-iEC) method to organize, integrate, and evaluate its therapeutic efficacy in treating different diseases with the same therapy, and to investigate the feasibility of using Eff-iEC to evaluate the multifunctionality of TCM formulas. The evaluation covered Xiaoyao San's therapeutic effects on depression, premenstrual syndrome, chronic hepatitis, irritable bowel syndrome, dyspepsia, and menopausal syndrome. Concurrently, the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system was used for evaluation, and authoritative medical documents were incorporated to corroborate the recognition of Xiaoyao San within the medical community. Depression and menopausal syndrome received higher ratings than other conditions in the Eff-iEC, GRADE, and Medical Community Recognition assessments. The Eff-iEC evidence grade for Xiaoyao San was rated as "High" or above for chronic hepatitis, irritable bowel syndrome, dyspepsia, and menopausal syndrome. Premenstrual syndrome received a "Moderate +" rating. The GRADE evidence level was "Low-〇〇⨁⨁" for depression, premenstrual syndrome, and chronic hepatitis; "Moderate-〇⨁⨁⨁" for dyspepsia and menopausal syndrome; and "Very Low-〇〇〇⨁" for irritable bowel syndrome. Depression and menopausal syndrome had the highest inclusion frequency, appearing in all 4 categories. Premenstrual syndrome, chronic hepatitis, and dyspepsia are not recommended in Western medical guidelines, but they are included in TCM guidelines, the China National Basic Medical Insurance Drug List, and the China National Essential Drug List. Irritable bowel syndrome appears only in the China National Basic Medical Insurance Drug List and China National Essential Drug List. The evaluation results obtained using the Eff-iEC method align with Medical Community Recognition, providing an objective and comprehensive assessment of Xiaoyao San's efficacy. The findings suggest that Xiaoyao San has strong evidence for treating depression and menopausal syndrome. However, further experimental and clinical trials are needed to assess its efficacy in treating premenstrual syndrome, chronic hepatitis, irritable bowel syndrome, and dyspepsia. These results support the clinical efficacy and rational use of Xiaoyao San, expand the application scope of the Eff-iEC method, and offer valuable insights and methodological references for the comparative evaluation of multifunctional TCM formulas.
7.Responding to public health emergencies based on a deployment management mode for life-supporting equipment
Wen YANG ; Qiwen XIANG ; Lu ZENG ; Siqi LI ; Jingjing AN
China Medical Equipment 2025;22(4):95-99
Objective:To establish a deployment management mode for life-supporting equipment,so as to provide reference for healthcare institutions in deployment management for equipment in responding public health emergencies.Methods:The existed problems of healthcare institutions in facing public health emergencies were analyzed.Based on evidence-based practices from domestic and international healthcare institutions in responding public health emergencies,and combined with the experiences of West China Hospital of Sichuan University in preventing and treating epidemic infection of public health emergencies,a scheme of deployment management of life-supporting equipment,and an assessment scheme that precisely matched mode and equipment for supporting respiratory were formulated.The ventilator-related medical consumables was standardly managed.A deployment management mode for life-supporting equipment was constructed to conduct deployment management for the using 293 non-invasive ventilators and 112 high-flow non-invasive respiratory humidification devices in our hospital from December 26,2022,to January 20,2023.Results:During the period of deployment management for 293 non-invasive ventilators,a total of 7492 prescriptions of non-invasive ventilation were completed,and 3183 prescriptions of non-invasive(high-follow)ventilation of using 112 high-flow non-invasive respiratory humidification devices were completed at the same period,which better ensured the requirements of all patients in clinical treatment.The average turnaround time of equipment was shorted from 22.5 min before deployment management mode was implemented to 12.6 min after it was implemented.The accuracy rate of healthcare personnel was 100%in preparing medical consumables.Conclusion:The deployment management mode of life-supporting equipment can increase the use rate of limited life-supporting equipment at the maximum degree,and increase the turnover efficiency of equipment,and decrease turnover time and vacancy rate of equipment,and increase the accuracy rate of preparing medical consumables,and meet the requirement of clinical treatment under the premise of"overall deployment and coordinated management".
8.Mean Arterial Pressure Prediction Based on Fully Connected Neural Networks
Yating QI ; Jincheng LIU ; Jiaying LIU ; Siqi WU ; Biaosheng HUANG ; Zhixiong HU ; Liguo YANG
Journal of Medical Biomechanics 2025;40(5):1239-1247,1255
Objective To achieve non-invasive and precise prediction of mean arterial pressure(MAP)based on a fully convolutional neural network(FCNN).Methods A high-precision blood pressure data acquisition system compliant with international metrological standards was used in conjunction with the'gold standard'auscultation method to collect blood pressure and pulse waveform data from patients.True MAP values were derived via Gaussian fitting of pulse waveform data,constructing a traceable dataset.The FCNN was applied to this dataset to develop a novel MAP prediction method.Additionally,the predictive accuracy of the FCNN was compared with linear regression and conventional empirical formulas.Results The mean squared errors(MSE)for MAP prediction using the FCNN,linear regression,and empirical formulas were 19.76,21.40,and 30.97,respectively.The coefficients of determination(R2)were 0.90,0.89,and 0.84,and the prediction accuracies were 0.90,0.89,and 0.85,respectively.Conclusions By using systolic blood pressure,diastolic blood pressure,age,and arm circumference as input parameters,the FCNN-based MAP prediction method significantly reduces the bias of empirical formulas.This approach not only improves the accuracy of hemodynamic boundary condition acquisition but also contributes to refining the metrological traceability system of non-invasive blood pressure measurement.
9.Role of cancer-associated fibroblasts in the formation of the pre-metastatic niche
Ziting WANG ; Guantong YANG ; Jianchun FAN ; Siqi GAO ; Rui GUO ; Lina JIANG ; Yaxiong GUO
Chinese Journal of Comparative Medicine 2025;35(1):127-138
In line with the rising global incidence of cancer,tumor metastasis has become the leading cause of mortality among cancer patients.Formation of the pre-metastatic niche(PMN)creates an optimal microenvironment for tumor cell colonization and metastasis,thus facilitating tumor dissemination.In this context,cancer-associated fibroblasts(CAFs)have garnered significant attention as a result of their multifaceted roles in tumor progression.CAFs enhance the formation of the PMN and promote the invasive behavior of tumor cells by remodeling the extracellular matrix,inducing epithelial-mesenchymal transition,stimulating angiogenesis and modulating the tumor immune microenvironment.These processes not only expedite metastasis but also enable tumor immune evasion.This paper reviews the fundamental mechanisms and functions of CAFs in tumor metastasis,examines their potential applications in cancer research and therapy,and offers new perspectives and directions for the development of anti-tumor metastasis strategies.
10.Quality assurance of artificial intelligence models applied to case-specific radiotherapy
Xiaonan LIU ; Guodong JIN ; Wenyu WANG ; Ji ZHU ; Bining YANG ; Siqi YUAN ; Hong QUAN ; Kuo MEN ; Jianrong DAI
Chinese Journal of Radiation Oncology 2025;34(9):949-953
Artificial intelligence (AI) technologies are being widely applied in radiotherapy. However, the integration of AI into clinical workflows of radiotherapy faces a series of challenges, such as poor model interpretability, domain shifts between clinical application and training data, and the inherent model uncertainties. Therefore, case-specific quality assurance (QA) is essential before deploying AI models in clinical practice. This paper reviews and summarizes QA methodologies for the application of AI models in radiotherapy across four key areas: image registration, image generation, region of interest segmentation, and treatment planning.

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