1.Effect of Compatibility of Effective Monomer Components of Fujin Shengjisan on Angiogenesis of HUVEC Based on Uniform Design
Xianying LU ; Jing GAO ; Dingxi BAI ; Chaoming HOU ; Wenting JI ; Huan CHEN ; Chenxi WU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(8):9-20
ObjectiveTo determine the optimal combination of the effective monomer components "quercetin-kaempferol-abietic acid-boswellic acid" in Fujin Shengjisan for promoting diabetic ulcer (DU) wound healing through uniform design, thereby achieving the modern application of the ancient formula. MethodsFollowing the principle of "uniform design-pharmacodynamic experiment-mathematical modeling and model verification", the U14(145) uniform design table was adopted.The four monomer components of Chinese medicine were considered as the independent variables, and the proliferation rate of human umbilical vein endothelial cells (HUVECs) induced by glucose was used as the pharmacodynamic indicator. A mathematical model was constructed using DPS software to correlate the effective monomer components with the pharmacodynamic indicator. The results of uniform design were verified through CCK-8 assay, cell scratch healing, tube formation, Western blot, and Real-time PCR. ResultsAmong the 14 compatibility groups, compared with the high-glucose model group, compound compatibility group 6 showed the strongest proliferation effect and statistical significance (P<0.05). Four quadratic polynomial regression equations (Y1-Y4) were obtained through DPS modeling. Considering the model's fit, stability, and practical application, equations Y1-Y3 were selected for the follow-up verification. To ensure experiment reproducibility, group 6 was used for validation. Group 6 and equations Y1-Y3 were renamed as compound prescription ① to compound prescription④, respectively, to represent the modern application of the ancient FJSJ Powder through compatibility of monomer components. Verification experiments showed that in the CCK-8, scratch healing, and tube formation assays, the cell viability, wound healing rate, and tube formation number of HUVECs stimulated with 50 mmol·L-1 glucose were significantly reduced compared with the blank group. Moreover, the expression levels of angiogenesis-related cytokines, vascular endothelial growth factor (VEGF) and fibroblast growth factor 2 (FGF2), and CD31 secretion were significantly down-regulated. However, after intervention with compound prescriptions ① to ④, compound prescriptions ① and ③ significantly improved the biological functions of HUVECs induced by 50 mmol·L-1 glucose. Further analysis of the regression coefficients of compound prescriptions ① and ③, and the relative dose ratios of each monomer component, indicated that abietic acid, quercetin, and boswellic acid promoted angiogenesis of HUVECs in the high glucose environment, with a major effect (positive partial correlation coefficients, all > 0.9). Abietic acid and boswellic acid, as well as kaempferol and boswellic acid, promoted angiogenesis in HUVECs through interaction (positive partial correlation coefficients). ConclusionCompound prescriptions ① and ③ are the optimal combinations. They can reverse the inhibitory effects of high glucose, stimulate the proliferation, migration, and tube formation abilities of HUVECs in a high glucose environment, and promote the expression of vascular endothelial growth factorA(VEGFA), FGF2, and CD31, thereby promoting angiogenesis and facilitating DU wound healing. This finding not only confirms the good reproducibility and feasibility of compound prescriptions ① and ③ but also provides new insights and methods for the rational construction of mathematical models to further study the compatibility theory of Chinese medicine.
2.Prevalence of menopausal syndrome among postmenopausal women in Pan'an County
YING Huizhen ; JI Li ; KONG Wenjuan ; WANG Yuan ; CHEN Xiaoxia ; HU Caihong ; FU Haiying ; LU Yuanyuan ; CHE Xiuli
Journal of Preventive Medicine 2025;37(3):312-315
Objective:
To investigate the prevalence and influencing factors of menopausal syndrome among postmenopausal women in Pan'an County, Zhejiang Province, so as to provide the basis for guiding the health management of postmenopausal women.
Methods:
From May 2023 to April 2024, the postmenopausal women aged 40 to 69 years in Pan'an County were selected using the random cluster sampling method. Demographic information, lifestyle and prevalence of gynecological diseases were collected through questionnaire surveys. The prevalence of menopausal syndrome was assessed by modified Kupperman Score Scale. Factors affecting menopausal syndrome were analyzed by a multivariable logistic regression model.
Results:
A total of 816 postmenopausal women were surveyed, with an mean age of (57.63±2.92) years and a mean natural menopause age of (49.85±2.13) years. There were 574 cases with menopausal syndrome, with a prevalence of 70.34%. Flashes and sweating, insomnia and irritability were common symptoms, accounting for 62.87%, 47.43% and 41.18%, respectively. Multivariable logistic regression analysis showed that monthly personal income of ≤5 000 yuan (<3 000 yuan, OR=3.124, 95%CI: 1.829-5.335; 3 000-5 000 yuan, OR=2.399, 95%CI: 1.370-4.201) and having gynecological diseases (OR=1.970, 95%CI: 1.292-3.004) were associated with a higher risk of menopausal syndrome, while average (OR=0.141, 95%CI: 0.072-0.276) or sufficient sleep quality (OR=0.095, 95%CI: 0.049-0.185) were associated with a lower risk of menopausal syndrome.
Conclusion
The prevalence of menopausal syndrome among postmenopausal women in Pan'an County is relatively high, and is mainly influenced by personal economic status, sleep quality and the presence of gynecological diseases.
3.Mechanism of Wendantang in Intervention of ApoE-/- Hyperlipidemic Mice Based on Liver Metabolomics
Yun ZHOU ; Songren YU ; Lu ZHANG ; Wenting LIN ; Keming YU ; Min XIA ; Zhijun ZENG ; Yanhua JI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(10):1-9
ObjectiveTo explore the mechanism of action of Wendantang on ApoE-/- hyperlipidemic mice using non-targeted metabolomics technology. MethodsMale C57BL/6J mice served as the normal control group (n=6), and they were fed with regular chow, while male ApoE-/- mice constituted the high-fat group (n=30), and they were fed with a 60% high-fat diet. After 11 weeks of model establishment, the mice in the high-fat group were randomly divided into the model group, simvastatin group (3.3 mg·kg-1), and high-dose, medium-dose, and low-dose groups of Wendantang (26, 13, 6.5 g·kg-1, respectively, in terms of crude drug amount), with six mice in each group. The normal control group and the model group were gavaged with an equivalent volume of normal saline, and all groups continued to be fed their respective diets, receiving daily medication for 10 weeks with weekly body weight measurements. Serum levels of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), free fatty acids (NEFA), blood glucose (GLU), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) were detected in the mice. Pathological changes in liver tissue were observed using hematoxylin-eosin (HE) staining, and ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS) was employed for metabolomic analysis of mouse liver tissue. ResultsCompared to the normal control group, the model group exhibited significantly increased body weight, blood lipid levels, and liver function (P<0.05, P<0.01), with disordered liver tissue structure, swollen hepatocytes, and accompanying vacuolar fatty degeneration and inflammatory cell infiltration. Compared to the model group, the simvastatin group and Wendantang groups showed significantly reduced body weight, TG, NEFA, GLU, ALT, and AST levels (P<0.05, P<0.01), with a significant increase in HDL-C levels (P<0.05, P<0.01), demonstrating a dose-dependent effect. The lesion of the liver tissue section was obviously improved after administration, tending towards a normal liver tissue morphology. Analysis of liver metabolites revealed 86 differential metabolites between the normal control group and the model group, with the high-dose group of Wendantang able to regulate 56 of these metabolites. Twenty-two differential metabolites associated with hyperlipidemia were identified, mainly including chenodeoxycholic acid, hyocholic acid, taurine, glycocholic acid, dihydroceramide, hydroxy sphingomyelin C14∶1, arachidonic acid, and linoleic acid, enriching 22 metabolic pathways, with 4 being the most significant (P<0.05), namely primary bile acid biosynthesis, sphingolipid metabolism, unsaturated fatty acid biosynthesis, and linoleic acid metabolism pathways. ConclusionWendantang can improve blood lipid levels and liver function in ApoE-/- hyperlipidemic mice, which may be related to the regulation of primary bile acid biosynthesis, sphingolipid metabolism, unsaturated fatty acid biosynthesis, and linoleic acid metabolism pathways.
4.Rapid determination of tramadol in urine by surface-enhanced Raman spectroscopy
Xiaojing YAO ; Peiying JI ; Feng LU ; Guorong SHI ; Xiang FU
Journal of Pharmaceutical Practice and Service 2025;43(4):185-189
Objective To establish a method for rapid detection of tramadol in urine by liquid-liquid extraction(LLE)-surface-enhanced Raman spectroscopy (SERS). Methods Tramadol was extracted from urine with chloroform∶isopropyl alcohol (9∶1) extractant and detected in urine samples by enhanced Raman spectroscopy (wavelength 785 nm). Results The quantitative curve of tramadol was Y=204.35 X−465.62, r=
5.Accuracy of modified implant template of assisted implantation in missing second molars
Yuhang ZHANG ; Yuning ZENG ; Jindi ZENG ; Yixuan LU ; Hui YE ; Jianxin JI
Chinese Journal of Tissue Engineering Research 2025;29(4):738-744
BACKGROUND:Computer-assisted implant surgery can improve implantation accuracy,but the use of implant template in the posterior tooth area is limited for patients with small opening and small interocclusal distance.Therefore,the digital guide has been improved. OBJECTIVE:To study the effect of modified implant template on the accuracy of assisted implantation in missing second molars. METHODS:From July 2020 to July 2023,40 patients who received digital guide plate implantation or free hand implantation to repair missing second molars were selected from First Affiliated Hospital of Guangzhou Medical University.According to the coin toss method,patients were randomly divided into a trial group(n=22;modified digital guide assisted implantation)and a control group(n=18;free hand implantation).The data of neck deviation,tip deviation,depth deviation,and angle deviation were compared between groups for preoperative and postoperative cone beam CT overlap analysis.One week after the operation,the patients'satisfaction with the operation was assessed by visual analog scale score. RESULTS AND CONCLUSION:(1)The trial group included 25 implants(12 in the upper jaw and 13 in the lower jaw);the control group included 23 implants(8 in the upper jaw and 15 in the lower jaw).The neck deviation,tip deviation,depth deviation,and angle deviation of the trial group were all smaller than those of the control group(P<0.05,P<0.001).There was no significant difference in accuracy between the maxillary and mandibular implant site in the trial group(P>0.05).(2)There was no significant difference in satisfaction with the operation between the two groups(P>0.05).(3)The results showed that improving the digital guide plate for assisted implantation for missing second molar can improve surgical accuracy and is suitable for patients with small opening and small interocclusal distance in the posterior tooth area.
6.Dynamic Monitoring and Correlation Analysis of General Body Indicators, Blood Glucose, and Blood Lipid in Obese Cynomolgus Monkeys
Yanye WEI ; Guo SHEN ; Pengfei ZHANG ; Songping SHI ; Jiahao HU ; Xuzhe ZHANG ; Huiyuan HUA ; Guanyang HUA ; Hongzheng LU ; Yong ZENG ; Feng JI ; Zhumei WEI
Laboratory Animal and Comparative Medicine 2025;45(1):30-36
ObjectiveThis study aims to investigate the dynamic changes in general body parameters, blood glucose, and blood lipid profiles in obese cynomolgus monkeys, exploring the correlations among these parameters and providing a reference for research on the obese cynomolgus monkey model. Methods30 normal male cynomolgus monkeys aged 5 - 17 years old (with body mass index < 35 kg/m² and glycated hemoglobin content < 4.50%) and 99 spontaneously obese male cynomolgus monkeys (with body mass index ≥35 kg/m² and glycated hemoglobin content < 4.50%) were selected. Over a period of three years, their abdominal circumference, skinfold thickness, body weight, body mass index, fasting blood glucose, glycated hemoglobin, and four blood lipid indicators were monitored. The correlations between each indicator were analyzed using repeated measurement ANOVA, simple linear regression, and multiple linear regression correlation analysis method. Results Compared to the control group, the obese group exhibited significantly higher levels of abdominal circumference, skinfold thickness, body weight, body mass index, and triglyceride (P<0.05). In the control group, skinfold thickness increased annually, while other indicators remained stable. Compared with the first year, the obese group showed significantly increased abdominal circumference, skinfold thickness, body weight, body mass index, triglyceride, and fasting blood glucose in the second year(P<0.05), with this increasing trend persisting in the third year (P<0.05). In the control group, the obesity incidence rates in the second and third years were 16.67% and 23.33%, respectively, while the prevalence of diabetes remained at 16.67%. In the obese group, the diabetes incidence rates were 29.29% and 44.44% in years 2 and 3, respectively. Among the 11-13 year age group, the incidence rates were 36.36% and 44.68%, while for the group older than 13 years, the rates were 28.13% and 51.35%. Correlation analysis revealed significant associations (P<0.05) between fasting blood glucose and age, abdominal circumference, skinfold thickness, body weight, and triglyceride in the diabetic monkeys. Conclusion Long-term obesity can lead to the increases in general physical indicators and fasting blood glucose levels in cynomolgus monkeys, and an increase in the incidence of diabetes. In diabetic cynomolgus monkeys caused by obesity, there is a high correlation between their fasting blood glucose and age, weight, abdominal circumference, skinfold thickness, and triglyceride levels, which is of some significance for predicting the occurrence of spontaneous diabetes.
7.Quality evaluation of Commelina communis medicinal materials from different origins based on content of four alkaloid components combined with chemometrics.
Bi-Ru FU ; Wei-Jie ZHUO ; Xuan-Xiu HUANG ; Peng-Cong LU ; Xin HE ; Rui-Feng JI
China Journal of Chinese Materia Medica 2025;50(9):2422-2431
This study employs ultra-performance liquid chromatography(UPLC) to analyze the differences in alkaloid content of Commelina communis from various geographical origins, exploring its feasibility as a quality evaluation indicator. A total of 57 batches of C. communis samples from 23 provinces, autonomous regions, and municipalities in China were selected. The MicroPulite HSS T3(2.1 mm×50 mm, 1.8 μm)column was used with a mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution(20∶80), detection wavelength at 254 nm, and a flow rate of 0.3 mL·min~(-1) to measure the content of 1-deoxynojirimycin(DNJ) and deoxymannojirimycin(DMJ). The MicroPulite XP tC_(18)(2.1 mm×100 mm, 1.7 μm)column was employed with a mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution(4∶96), detection wavelength at 254 nm, and a flow rate of 0.4 mL·min~(-1) to measure the content of norharmine(NHM) and harmanme(HM). Chemometric methods were applied to study the relationships and differences among the 57 batches of C. communis. Significant differences in alkaloid content were observed among C. communis from different regions, with the average total content decreasing in the order of North China, Northeast China, Northwest China, East China, Southwest China, Central China, and South China. Cluster analysis(CA) and principal component analysis(PCA) further revealed the quality differences of C. communis from various origins, and partial least squares discriminant analysis(PLS-DA) identified DNJ as a marker compound to distinguish the quality differences between different geographical sources of C. communis. It is recommended that the content limit of DNJ be set at no less than 0.055 9%, providing a reference for the quality evaluation and clinical application of C. communis medicinal materials.
Alkaloids/analysis*
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Drugs, Chinese Herbal/chemistry*
;
China
;
Chromatography, High Pressure Liquid
;
Chemometrics/methods*
;
Quality Control
8.Scientific characterization of medicinal amber: evidence from geological and archaeological studies.
Qi LIU ; Qing-Hui LI ; Di-Ying HUANG ; Yan LI ; Pan XIAO ; Ji-Qing BAI ; Hua-Sheng PENG ; Lu-Qi HUANG
China Journal of Chinese Materia Medica 2025;50(11):2905-2914
Amber and subfossil resins are subjects of interdisciplinary research across multiple fields. However, due to their diverse origins and complex compositions, different disciplines vary in their definitions and functional interpretations. In traditional Chinese medicine(TCM), amber has been utilized as a medicinal material since ancient time, with extensive historical documentation. However, its classification, provenance, and nomenclature remain ambiguous, and authentic medicinal amber artifacts are exceedingly rare. This study employed Fourier-transform infrared spectroscopy(FTIR) to characterize amber and subfossil resins from various geological sources and commercially "medicinal amber". Additionally, historical literature and market surveys were analyzed to explore their provenance, composition, and functional attributes. The results indicate that amber and subfossil resins from different sources and with different compositions exhibit distinct fingerprint characteristics in the FTIR spectral range of 1 800-700 cm~(-1). "Medicinal amber" available in the market primarily consists of subfossil or modern resins, significantly differing in composition and structure from geological amber. This study highlights the importance of interdisciplinary research on amber identification and resource management. It is essential to establish a systematic database of amber and subfossil resin characteristics and integrate modern analytical techniques to enhance research on their composition, pharmacological mechanisms, and potential therapeutic effects, thereby promoting the standardized utilization of amber resources and advancing the modernization of TCM.
Amber/history*
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Archaeology
;
Spectroscopy, Fourier Transform Infrared
;
Medicine, Chinese Traditional
9.Rapid characterization and identification of non-volatile components in Rhododendron tomentosum by UHPLC-Q-TOF-MS method.
Su-Ping XIAO ; Long-Mei LI ; Bin XIE ; Hong LIANG ; Qiong YIN ; Jian-Hui LI ; Jie DU ; Ji-Yong WANG ; Run-Huai ZHAO ; Yan-Qin XU ; Yun-Bo SUN ; Zong-Yuan LU ; Peng-Fei TU
China Journal of Chinese Materia Medica 2025;50(11):3054-3069
This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry*
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Chromatography, High Pressure Liquid/methods*
;
Drugs, Chinese Herbal/chemistry*
;
Mass Spectrometry/methods*
;
Plant Leaves/chemistry*
10.Research progress in machine learning in processing and quality evaluation of traditional Chinese medicine decoction pieces.
Han-Wen ZHANG ; Yue-E LI ; Jia-Wei YU ; Qiang GUO ; Ming-Xuan LI ; Yu LI ; Xi MEI ; Lin LI ; Lian-Lin SU ; Chun-Qin MAO ; De JI ; Tu-Lin LU
China Journal of Chinese Materia Medica 2025;50(13):3605-3614
Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning
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Drugs, Chinese Herbal/standards*
;
Quality Control
;
Medicine, Chinese Traditional/standards*
;
Humans


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