1.Construction of glioma microfluidic chip model and its application research on evaluation the medicinal efficacy of the Chinese medicine Scutellaria barbata
Piaoxue YOU ; Lan CHEN ; Yiwei SHI ; Hui WANG ; Liang CHAO ; Zhanying HONG
Journal of Pharmaceutical Practice and Service 2025;43(2):59-66
Objective To construct a glioma microfluidic chip model to simulate tumor microenvironment for evaluating the medicinal efficacy of anti-glioma traditional Chinese medicines. Methods Glioblastoma cells U251 were seeded into microfluidic chips with different culture modes, and the cell viability and tumour microenvironment within the constructed model were characterized. Fluorescence staining was used to evaluate the effects of the positive drugs temozolomide (TMZ) and docetaxel (DOC) on the cell activity and apoptosis within the model, which was applied to evaluate the medicinal efficacy of the extracts of the herb Scutellaria barbata on gliomas. Results The cells in the constructed U251 microfluidic chip model displayed high viability and were able to mimic the hypoxic microenvironment of tumor to a certain extent. The viability of the U251 cells in the microfluidic chips decreased with the increasing of the concentration of the positive drug, and the viability of the 3D cultured U251 cells was higher than that in the 2D condition (P<0.05). The intracellular mitochondrial membrane potential decreased with the increasing of the concentration of the positive drug. And the 2 mg/ml Scutellaria barbata extract killed U251 cells to a certain extent and reduced the mitochondrial membrane potential of the cells in the model. Conclusion This study successfully constructed a microfluidic chip model of glioma that could effectively simulate the tumor microenvironment and rapidly evaluate the anti-tumor medicinal efficacy, which provided a new strategy for the medicinal efficacy evaluation and active components screening of anti-glioma traditional Chinese medicines.
2.Pharmacoeconomic evaluation of finerenone combined with standard treatment regimen in the treatment of diabetic nephropathy
Hai LIANG ; Runan XIA ; Panpan DI ; Mengmeng ZHAO ; Pengcheng ZHANG ; Yashen HOU ; Hong ZHANG ; Wei WU ; Miao YANG
China Pharmacy 2025;36(1):86-90
OBJECTIVE To evaluate the cost-effectiveness of finerenone combined with standard treatment regimen in the treatment of diabetic nephropathy (DN). METHODS From the perspective of healthcare service providers, a Markov model was established to simulate the dynamic changes of each stage in DN patients who received finerenone combined with the standard treatment regimen or the standard treatment regimen alone based on the phase Ⅲ clinical trial study of finerenone for DN. Markov model was used to perform the cost-effectiveness of long-term effects and the costs of the two therapies with a simulation cycle of 4 months, a simulation period of 15 years and an annual discount rate of 5%. At the same time, one-way sensitivity analysis and probability sensitivity analysis were performed, and the stability of the results was validated. RESULTS Accumulative cost of the standard treatment regimen was 579 329.54 yuan, and the accumulative utility was 8.052 4 quality-adjusted life year (QALYs); the accumulative cost of finerenone combined with the standard treatment regimen was 332 520.61 yuan, and the accumulative utility was 8.187 4 QALYs. Finerenone combined with the standard treatment regimen was more cost-effective. The results of one-way sensitivity analysis showed that dialysis status utility value, DN stage 3 utility value and DN stage 4 utility value had a great influence on the incremental cost-effectiveness ratio, but did not affect the robustness of the model. The results of probability sensitivity analysis showed that finerenone combined with the standard treatment regimen was more cost-effective with 100% probability. CONCLUSIONS For DN patients, finerenone combined with the standard treatment regimen is more cost-effective as an absolute advantage option.
3.Study on the pharmacological effects and mechanism of Gegen-Zhimu herb pair in preventing and treating Alzheimer's disease by UHPLC-Q/TOF-MS metabolomics strategy
Liang CHAO ; Hui WANG ; Shuqi SHEN ; Piaoxue YOU ; Kaihong JI ; Zhanying HONG
Journal of Pharmaceutical Practice and Service 2025;43(1):30-40
Objective To evaluate the efficacy of Puerariae lobatae radix (PLR) and Anemarrhenae Rhizoma (AR) in preventing and treating Alzheimer’s disease (AD) and explore its potential mechanism of action by LC-MS serum metabolomics strategy. Methods The AD rat model was established by administering aluminum chloride (AlCl3) and D-galactose (D-gal) for 20 weeks. The traditional Chinese medicine intervention group was given the PLR, AR, and PLR-AR extracts for 8 weeks by gavage. The model effect and efficacy were evaluated by Morris water maze test and biochemical indicators including SOD, NO, and MDA; Metabolomics research based on the UHPLC-Q/TOF-MS method was conducted, and relevant metabolic pathways were analyzed through the MetaboAnalyst online website. Results The learning and memory abilities of AD model rats were significantly decreased compared with the control group, and the levels of oxidative stress and lipid peroxides were significantly increased (P<0.05), while the SOD content was decreased considerably (P<0.01). The learning and memory abilities of AD model rats were improved, oxidative stress and lipid peroxidation levels were reversed, and serum SOD content was increased significantly after the intervention of PLR-AR, with better effects than single drugs. Through metabolomics, 70 differential metabolites were identified between the AD model group and the control group, mainly involving 10 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, and unsaturated fatty acid biosynthesis, et.al. The intervention of PLR-AR could adjust 47 metabolites, with 20 metabolites showing significant differences (P<0.05). The significantly adjusted metabolites involve 6 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, et al. Conclusion The combination of PLR and AR could significantly improve the learning and memory abilities of AD rat models. The mechanism may be related to the improvement of oxidative stress and lipid peroxidation levels, the increase of serum SOD content, and the regulation of phenylalanine, tyrosine, and tryptophan biosynthesis pathways.
4.The Experience of Retention Enema with Traditional Chinese Medicine for Ulcerative Colitis Based on the Theory of Sweat Pore
Zifu HONG ; Yinghua HE ; Lipeng FENG ; Fei JIA ; Mouwen QYU ; Liang YUAN ; Mingwen JIA
Journal of Traditional Chinese Medicine 2025;66(6):634-637
This paper discussed the nature of ulcerative colitis, that is deficiency of the root and excess of the branch, from the theory of sweat pore, and to explore the theoretical basis and experience of treating this disease with retention enema of traditional Chinese medicine (TCM). The main location of this disease is in the intestine. As a part of sweat pore, the intestinal sweat pore serves as the gateway for the ascending, descending, exiting and entering of qi movement in the zang fu (脏腑) organs, meridians and collaterals, as well as the channel for the transportation of qi, blood and body fluids. The constraint and closure of the intestinal sweat pore are the main pathological basis of ulcerative colitis. According to the manifestations of colonoscopy, and the different etiological factors and pathogenesis that lead to the constraint and closure of sweat pore, there should be different treatment focuses such as expelling wind to open sweat pore, clearing fire to open sweat pore, promoting blood circulation to open sweat pore, for which wind-dispersing herbs, heat-clearing herbs, and blood-activating herbs are used accordingly. The method of retention enema can directly induce Chinese medicinal herbs to the affected part, so as to diffuse and unblock the sweat pore, regulate qi and blood, and thus restore the normal function of the intestinal sweat pore.
5.Trend analysis of birth defects in Fengxian District, Shanghai, 2018‒2022
Huihui MA ; Hong CHEN ; Hong JIANG ; Guangsheng LIANG ; Qin HUANG ; Meng QIN
Shanghai Journal of Preventive Medicine 2025;37(2):174-178
ObjectiveTo retrospectively analyze the epidemiological trends of birth defects in perinatal infants in Fengxian District, Shanghai from 2018 to 2022, so as to provide a scientific evidence for the formulation of related prevention and control strategies. MethodsBased on the data from the National Birth Defects Surveillance System, statistical analysis was conducted on the perinatal birth defects from monitored hospitals within the region from 2018 to 2022. ResultsFrom 2018 to 2022, a total of 20 870 perinatal infants delivered in the monitored hospitals in Fengxian District, with 472 cases with birth defects, showing a significant increase in the prevalence of birth defects (PRR=1.49, 95%CI: 1.39‒1.59). The risk of birth defects increased with maternal age, especially for advanced maternal age (PRR=1.58, 95%CI: 1.12‒2.25). Infants born to mothers with gestational diabetes had a higher prevalence of birth defects compared to those without gestational diabetes (PRR=1.99, 95%CI: 1.46‒2.70). Infants with birth defects were more likely to be born prematurely (PRR=2.07, 95%CI:1.56‒2.76). The top three types of birth defects were congenital heart disease (CHD), other anomalies of the external ear, and polydactyly. ConclusionThe prevalence of birth defects in Fengxian District monitored hospitals showed an upward trend from 2018 to 2022. Advanced maternal age and gestational diabetes were identified as risk factors for birth defects. CHD is the leading type of birth defect in Fengxian District over the five-year period. To reduce the prevalence of birth defects, it is crucial to implement comprehensive prevention and treatment measures for CHD.
6.Setup Error and Its Influencing Factors in Radiotherapy for Spinal Metastasis
Wenhua QIN ; Xin FENG ; Zengzhou WANG ; Shangnan CHU ; Hong WANG ; Shiyu WU ; Cheng CHEN ; Fukui HUAN ; Bin LIANG ; Tao ZHANG
Cancer Research on Prevention and Treatment 2025;52(5):400-404
Objective To investigate the setup error in patients with spinal bone metastasis who underwent radiotherapy under the guidance of kilovoltage cone-beam CT (KV-CBCT). Methods A total of 118 patients with spinal metastasis who underwent radiotherapy, including 17 cases of cervical spine, 62 cases of thoracic spine, and 39 cases of lumbar spine, were collected. KV-CBCT scans were performed using the linear accelerators from Elekta and Varian’s EDGE system. CBCT images were registered with reference CT images in the bone window mode. A total of 973 data were collected, and 3D linear errors were recorded. Results The patients with spinal bone metastasis were grouped by site, height, weight, and BMI. The P value of the patients grouped only by site was P<0.05, which was statistically significant. Conclusion When grouped by site in the 3D direction, the positioning effect of cervical spine is better than that of thoracic and lumbar spine. The positioning effect of the thoracic spine is better in the head and foot direction but worse in the left and right direction compared with that of the lumbar spine. Instead of extending or narrowing the margin according to the BMI of patients with spinal metastasis, the margin must be changed according to the site of spinal bone metastasis.
7.Multidimensional optimization strategies and practical effects of prescription pre-review system
Guangming GAO ; Tianjiao LIU ; Na XU ; Jing LIANG ; Xiangju SUN ; Zhanguo ZHU ; Hong YAN
China Pharmacy 2025;36(14):1797-1801
OBJECTIVE To optimize the prescription pre-review system in our hospital and evaluate its application effects. METHODS Aiming at the problems of imperfect rule base and high false positive rate in the early operation of the system, optimization measures were taken, including improving the content of the rule base, adjusting the interception level and prompt mode, refining the working model of prescription review pharmacists, and strengthening clinical communication. A retrospective cohort study was conducted, with prescription data from June to December 2023 (before optimization) as the control group and June to December 2024 (after optimization) as the observation group. Through inter group comparative analysis, the actual effect of optimizing the prescription pre-approval system was evaluated. RESULTS The prescription qualified rate increased from (82.51± 4.04)% before optimization to (90.98±1.55)% after optimization; the false positive rate decreased from (20.87±1.64)% before optimization to (7.41±2.04)% after optimization. The monthly range of prescription qualified rate narrowed from 10.24% to 4.11%, and the coefficient of variation decreased from 4.92% to 1.73%. The monthly range of false positive rate slightly increased from 4.40% to 5.34%, the coefficient of variation rose from 8.32% to 26.18%. CONCLUSIONS Through multi-dimensional optimizations of the prescription pre-review system in our hospital, its prescription review efficiency has been significantly enhanced, the quality of prescriptions has steadily improved, and the accuracy of reviews has notably improved.
8.Prediction of suitable habitats of Phlebotomus chinensis in Gansu Province based on the Biomod2 ensemble model
Dawei YU ; Yandong HOU ; Aiwei HE ; Yu FENG ; Guobing YANG ; Chengming YANG ; Hong LIANG ; Hailiang ZHANG ; Fan LI
Chinese Journal of Schistosomiasis Control 2025;37(3):276-283
Objective To investigate the suitable habitats of Phlebotomus chinensis in Gansu Province, so as provide insights into effective management of mountain-type zoonotic visceral leishmaniasis (MT-ZVL). Methods The geographical coordinates of locations where MT-ZVL cases were reported were retrieved in Gansu Province from 2015 to 2023, and data pertaining to 26 environmental variables were captured, including 19 climatic variables (annual mean temperature, mean diurnal range, isothermality, temperature seasonality, maximum temperature of the warmest month, minimum temperature of the coldest month, temperature annual range, mean temperature of the wettest quarter, mean temperature of the driest quarter, mean temperature of the warmest quarter, mean temperature of the coldest quarter, annual precipitation, precipitation of the wettest month, precipitation of the driest month, precipitation seasonality, precipitation of the wettest quarter, precipitation of the driest quarter, precipitation of the warmest quarter, and precipitation of the coldest quarter), five geographical variables (elevation, annual normalized difference vegetation index, vegetation type, landform type and land use type), and two population and economic variables (population distribution and gross domestic product). Twelve species distribution models were built using the biomod2 package in R project, including surface range envelope (SRE) model, generalized linear model (GLM), generalized additive model (GAM), multivariate adaptive regression splines (MARS) model, generalized boosted model (GBM), classification tree analysis (CTA) model, flexible discriminant analysis (FDA) model, maximum entropy (MaxEnt) model, optimized maximum entropy (MAXNET) model, artificial neural network (ANN) model, random forest (RF) model, and extreme gradient boosting (XGBOOST) model. The performance of 12 models was evaluated using the area under the receiver operating characteristic curve (AUC), true skill statistics (TSS), and Kappa coefficient, and single models with high performance was selected to build the optimal ensemble models. Factors affecting the survival of Ph. chinensis were identified based on climatic, geographical, population and economic variables. In addition, the suitable distribution areas of Ph. chinensis were predicted in Gansu Province under shared socioeconomic pathway 126 (SSP126), SSP370 and SSP585 scenarios based on climatic data during the period from 1991 to 2020, from 2041 to 2060 (2050s), and from 2081 to 2100 (2090s) . Results A total of 11 species distribution models were successfully built for prediction of potential distribution areas of Ph. chinensis in Gansu Province, and the RF model had the highest predictive accuracy (AUC = 0.998). The ensemble model built based on the RF model, XGBOOST model, GLM, and MARS model had an increased predictive accuracy (AUC = 0.999) relative to single models. Among the 26 environmental factors, precipitation of the wettest quarter (12.00%), maximum temperature of the warmest month (11.58%), and annual normalized difference vegetation index (11.29%) had the greatest contributions to suitable habitats distribution of Ph. sinensis. Under the climatic conditions from 1991 to 2020, the potential suitable habitat area for Ph. chinensis in Gansu Province was approximately 5.80 × 104 km2, of which the highly suitable area was 1.42 × 104 km2, and primarily concentrated in the southernmost region of Gansu Province. By the 2050s, the unsuitable and lowly suitable areas for Ph. chinensis in Gansu Province had decreased by varying degrees compared to that of 1991 to 2020 period, while the moderately and highly suitable areas exhibited expansion and migration. By the 2090s, under the SSP126 scenario, the suitable habitat area for Ph. chinensis increased significantly, and under the SSP585 scenario, the highly suitable areas transformed into extremely suitable areas, also showing substantial growth. Future global warming is conducive to the survival and reproduction of Ph. chinensis. From the 2050s to the 2090s, the highly suitable areas for Ph. chinensis in Gansu Province will be projected to expand northward. Under the SSP126 scenario, the suitable habitat area for Ph. chinensis in Gansu Province is expected to increase by 194.75% and 204.79% in the 2050s and 2090s, respectively, compared to that of the 1991 to 2020 period. Under the SSP370 scenario, the moderately and highly suitable areas will be projected to increase by 164.40% and 209.03% in the 2050s and 2090s, respectively, while under the SSP585 scenario, they are expected to increase by 195.98% and 211.66%, respectively. Conclusions The distribution of potential suitable habitats of Ph. sinensis gradually shifts with climatic changes. Intensified surveillance and management of Ph. sinensis is recommended in central and eastern parts of Gansu Province to support early warning of MT-ZVL.
9.Prognostic factors and outcomes of extremity necrotising fasciitis in Singapore.
Shaun Kai Kiat CHUA ; Noah Tian Run LIM ; Anna Hien Anh TRAN ; Liang SHEN ; Choon Chiet HONG ; Joel Yong Hao TAN ; Mark Edward PUHAINDRAN ; Jonathan Jiong Hao TAN
Annals of the Academy of Medicine, Singapore 2025;54(10):679-681
10.Status Analysis of Acupoint Selection and Stimulation Parameters Application for Acupuncture Treatment of Functional Dyspepsia
Siyi ZHENG ; Han ZHANG ; Yang YU ; Chuanlong ZHOU ; Yan SHI ; Xiaohu YIN ; Shouhai HONG ; Na NIE ; Jianqiao FANG ; Yi LIANG
Journal of Traditional Chinese Medicine 2025;66(12):1293-1299
Based on commonly used acupoints in the clinical acupuncture treatment of functional dyspepsia (FD), this study systematically analyzes the therapeutic differences and synergistic effects between local and distal point selection. It also examines the suitability of primary acupoint selection for different FD subtypes, postprandial distress syndrome (PDS) and epigastric pain syndrome (EPS). The findings suggest that a combination of local and distal acupoints may be more appropriate as primary points for PDS, whereas local acupoints alone may be more suitable for EPS. Additionally, the study explores the impact of various factors, such as stimulation techniques, needling order, intensity or stimulation parameters, and depth, on the efficacy of acupuncture. It concludes that the intrinsic properties of acupoints are the primary determinants of therapeutic direction. Other factors mainly influence the magnitude rather than the direction of the effect. Future research may further investigate how different acupoint combinations, local versus distal, affect the treatment outcomes of FD subtypes, providing new insights for clinical acupuncture prescriptions.

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