1.Phenylpropanoids from roots of Berberis polyantha.
Dong-Mei SHA ; Shuai-Cong NI ; Li-Niu SHA-MA ; Hai-Xiao-Lin-Mo MA ; Xiao-Yong HE ; Bin HE ; Shao-Shan ZHANG ; Ying LI ; Jing WEN ; Yuan LIU ; Xin-Jia YAN
China Journal of Chinese Materia Medica 2025;50(6):1564-1568
The chemical constituents were systematically separated from the roots of Berberis polyantha by various chromatographic methods, including silica gel column chromatography, HP20 column chromatography, polyamide column chromatography, reversed-phase C_(18) column chromatography, and preparative high-performance liquid chromatography. The structures of the compounds were identified by physicochemical properties and spectroscopic techniques(1D NMR, 2D NMR, UV, MS, and CD). Four phenylpropanoids were isolated from the methanol extract of the roots of B. polyantha, and they were identified as(2R)-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone-O-β-D-glucopyranoside(1), methyl 4-hydroxy-3,5-dimethoxybenzoate(2),(+)-syringaresinol(3), and syringaresinol-4-O-β-D-glucopyranoside(4). Compound 1 was a new compound, and other compounds were isolated from this plant for the first time. The anti-inflammatory activity of these compounds was evaluated based on the release of nitric oxide(NO) in the culture of lipopolysaccharide(LPS)-induced RAW264.7 macrophages. At a concentration of 10 μmol·L~(-1), all the four compounds inhibited the LPS-induced release of NO in RAW264.7 cells, demonstrating potential anti-inflammatory properties.
Plant Roots/chemistry*
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Animals
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Mice
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Berberis/chemistry*
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RAW 264.7 Cells
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Macrophages/immunology*
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Drugs, Chinese Herbal/isolation & purification*
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Nitric Oxide/metabolism*
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Molecular Structure
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Anti-Inflammatory Agents/isolation & purification*
2.Analysis of phenotype formation mechanism of a new variety of Lonicera japonica Flos "Huajin 6" at long bud stage
Run-zhu LI ; Cong-lian LIANG ; Zhen-hua LIU ; Jia LI ; Yong-qing ZHANG ; Hai-yan LIU ; Gao-bin PU
Acta Pharmaceutica Sinica 2024;59(2):476-481
Based on the long bud stage phenotype of a new
3.Construction and characterization of lpxC deletion strain based on CRISPR/Cas9 in Acinetobacter baumannii
Zong-ti SUN ; You-wen ZHANG ; Hai-bin LI ; Xiu-kun WANG ; Jie YU ; Jin-ru XIE ; Peng-bo PANG ; Xin-xin HU ; Tong-ying NIE ; Xi LU ; Jing PANG ; Lei HOU ; Xin-yi YANG ; Cong-ran LI ; Lang SUN ; Xue-fu YOU
Acta Pharmaceutica Sinica 2024;59(5):1286-1294
Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria,
4. Study on protective effect of Shenqi Fuzheng injection on immune myocarditis injury induced by anti-PD-1 antibody
Qian LIU ; Wen-Cong GAO ; Xin MA ; Chang-Bo ZHENG ; Jia-Ming YANG ; Hai-Bin HUANG ; Zhen-Xiang HU
Chinese Pharmacological Bulletin 2023;39(10):1980-1987
Aim To investigate the effeot of Shenqi Fuzheng injection on the prevention of immune myocarditis induced by anti-PD-1 antibody by reducing the production of inflammatory factors and the expression of myocardial injury markers. Methods Thirty-two maie PD-1 humanized mice with C57BL/6 genetic background were randomly divided into control group, myocarditis model group, anti-PD-1 antibody group and Shenqi Fuzheng injection group (n = 8). Except the control group, mice in other groups were intraperitoneally injected with myocardial myosin heavy chain peptide (5 mg • kg
5.Mechanism of Biejiajian Wan Against EMT of Hepatocellular Carcinoma Cells Through NF-κB Signaling Pathway
Xiao-dan ZHONG ; Bin WEN ; Hai-tao SUN ; Jia-ling SUN ; Xue-mei YANG ; Wei-cong CHEN ; Wen-ting ZHAO ; Chun-yu HE ; Yang LIU ; Tong LI ; Song-qi HE
Chinese Journal of Experimental Traditional Medical Formulae 2022;28(1):24-32
ObjectiveTo investigate the effect of Biejiajian Wan (BJJW) on transforming growth factor-β1 (TGF-β1)-induced epithelial-mesenchymal transition (EMT) of HepG2 cells, and explore its mechanism against EMT of hepatocellular carcinoma cells. MethodHepG2 cells were randomly divided into a blank group, a TGF-β1 model group (10 μg·L-1 TGF-β1), a low-dose BJJW group (10 μg·L-1 TGF-β1+0.55 g·kg-1 BJJW), a medium-dose BJJW group (10 μg·L-1 TGF-β1+1.1 g·kg-1 BJJW), a high-dose BJJW group (10 μg·L-1 TGF-β1+2.2 g·kg-1 BJJW), and a sorafenib group (10 μg·L-1 TGF-β1+0.03 g·kg-1 sorafenib). The EMT model was induced by 10 μg·L-1 TGF-β1 in HepG2 cells. After treatment with corresponding medicated serum, cell counting kit -8 (CCK-8) assay was used to detect cell proliferation. Cell migration ability was detected by the Transwell assay and wound healing assay. The protein expression related to EMT and nuclear factor-kappa B (NF-κB) signaling pathway was detected by cell immunofluorescence assay and Western blot. ResultCompared with the blank group 4 days later, the TGF-β1 model group showed fusiform and loose cells with widened gap and antennae reaching out, decreased protein expression of E-cadherin (P<0.05), and increased protein expression of N-cadherin and vimentin (P<0.05), which indicated that the EMT model was properly induced in HepG2 cells by TGF-β1 stimulation for 4 days. After 48 hours of treatment with the corresponding medicated serum, each medication group showed inhibited proliferation of HepG2 cells that had undergone EMT, especially the low- and high-dose BJJW groups (P<0.01), and the medium-dose BJJW group showed increased E-cadherin protein expression (P<0.05) and decreased p-p65, N-cadherin, and vimentin protein expression (P<0.05), as compared with the TGF-β1 model group. As revealed by the transwell assay and wound healing assay, TGF-β1 enhanced the migration ability of HepG2 cells (P<0.05, P<0.01) compared with the results in the blank group, compared with the TGF-β1 model group, the medication groups showed inhibited migration ability of HepG2 cells (P<0.05, P<0.01). Compared with the blank group, the TGF-β1 model group promoted the expression of p65 and Snail into the nucleus. Compared with the TGF-β1 model group, the medication groups inhibited the expression of p65 and Snail into the nucleus. ConclusionBJJW may inhibit the EMT, proliferation, and migration of HepG2 cells induced by TGF-β1 by suppressing the NF-κB signaling pathway to exert an anti-hepatocellular carcinoma effect.
6.Clinical Study of Jiawei Xiaochaihutang Combined with Microwave Ablation in Treatment of Primary Hepatocellular Carcinoma
Wen-ying WANG ; Ke-qin ZHANG ; Jin-ming LIU ; Hai-bin YU ; Ping WAN ; Wen-juan YANG ; Cong LI
Chinese Journal of Experimental Traditional Medical Formulae 2022;28(7):121-126
ObjectiveTo observe the clinical efficacy of Jiawei Xiaochaihutang combined with microwave ablation (MWA) in the treatment of primary hepatocellular carcinoma (HCC) and its influence on tumor microenvironment. MethodA total of 128 patients were randomly divided into control group (64 cases: 2 cases of dropout,2 cases of elimination,and 60 cases of completion) and observation group (64 cases: 3 cases of dropout,2 cases of elimination,and 59 cases of completion). Both groups were given comprehensive treatment after MWA surgery. Patients in control group took Biejiajian Wan orally (3 g/time,3 times/d), and those in observation group took Jiawei Xiaochaihutang (1 dose/d). The treatment lasted for 3 consecutive months. The size of solid tumor before and after treatment was evaluated to record the progression-free survival (PFS). The alpha-fetoprotein-L13 (AFP-L3),des-γ-carboxy prothrombin (DCP),Golgi protein 73 (GP73),tumor necrosis factor-α (TNF-α),transforming growth factor-β (TGF-β),vascular endothelial growth factor (VEGF) and matrix metalloproteinase-2 (MMP-2) levels,as well as performance status (PS),liver function and syndrome of liver depression and Qi stagnation scores were also detected before and after treatment. In addition, the incidence of side effects of grade Ⅲ and above was compared. ResultThe total effective rate of solid tumor in observation group was 91.53% (54/59),higher than that (76.67%, 46/60) in control group(χ2=4.895,P<0.05). The PFS in observation group was (7.16±0.95) months, longer than that (6.24±0.89 months) in control group (P<0.01). The effective rate of traditional Chinese medicine (TCM) syndrome in observation and control groups were 88.14% (52/59)and 70.00% (42/60), respectively (χ2=5.897,P<0.05). The observation group (57.63%,34/59) had higher marked effective rate of TCM syndrome than control group (31.67%,19/60) (χ2=8.116,P<0.01). The AFP-13,DCP,GP73,TNF-α,TGF-β,VEGF and MMP-2 levels and the PS,liver function and syndrome of liver depression and Qi stagnation scores in observation group were lower than those in control group (both P<0.01). The cumulative incidence of side effects of grade Ⅲ and above in observation and control groups was 16.95% and 33.33%, respectively(χ2=4.261,P<0.05). ConclusionConsolidation treatment of HCC after MWA surgery with Jiawei Xiaochaihutang relieved symptoms and side effects,improved PS and liver function,regulated tumor microenvironment,inhibited tumor markers and prolonged survival time. The clinical effect was better than that of Biejia decoction pill, and thus it was worthy of clinical use.
7.Mechanism of Polygonati Rhizoma on Treating Osteoporosis Based on Network Pharmacology and Preliminary Verification
Jia-le MAI ; Jian-liang LI ; Jia-cong XIAO ; Du LIANG ; Hai-bin WANG
Chinese Journal of Experimental Traditional Medical Formulae 2022;28(12):210-217
ObjectiveTo explore the potential mechanism of Polygonati Rhizoma on the treatment of osteoporosis (OP) based on network pharmacology and molecular docking method and to verify the mechanism by experiments. MethodThe main active ingredients and corresponding targets of Polygonati Rhizoma were screened out from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) 2.3 by conditional searching. The treatment targets were obtained from the genes related to OP and DisGeNET 7.0. The potential target genes of Polygonati Rhizoma for treating OP were obtained by the crossing of the corresponding targets and the treatment targets. Cytoscape 3.7.1 was used to construct the “Polygonati Rhizoma-active ingredient-potential target” network. The protein-protein interaction (PPI) analysis was carried out by STRING 11.0, and the PPI network was constructed. Metascape 3.5 was used to conduct Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of the key targets. The core ingredients and key targets of Polygonati Rhizoma were selected for molecular docking by AutoDock Vina 1.1.2. Finally, the effect of β-sitosterol on osteogenic differentiation of MC3T3-E1 cells in rats was observed. ResultTwelve active ingredients and 32 potential targets of Polygonati Rhizoma for OP treatment were screened out. Six active ingredients including baicalein and β-sitosterol and key targets including protein kinase 1 (Akt1), tumor suppressor p53 (TP53), vascular endothelial growth factorA (VEGFA), proto-oncogene Jun (JUN), matrix metalloproteinase-9 (MMP-9), and proto-oncogene c-Fos (FOS) were obtained by Cytoscape 3.7.1 topological analysis. A total of 995 GO entries and 181 signaling pathways involving the response to reactive oxygen species and regulations of growth were obtained from GO and KEGG enrichment analyses. The results of molecular docking showed that the core active ingredients possessed good binding activities with the respective key targets. The results of cell experiments showed that β-sitosterol promoted the osteogenic differentiation at the concentration of 2.5 μmol·L-1 and 5 μmol·L-1. ConclusionPolygonati Rhizoma had the therapeutic effect on treating OP by regulating inflammation, oxidative stress, apoptosis, and metabolism. The β-sitosterol significantly promoted the osteogenic differentiation of MC3T3-E1 cells.
8.Inhibitory Effect of CCK-8 on Methamphetamine-Induced Apoptosis.
Wu-Hua ZHANG ; Ming-Long ZHANG ; Wei-Wei JING ; Bing XIE ; Hai-Tao BI ; Feng YU ; Bin CONG ; Chun-Ling MA ; Di WEN
Journal of Forensic Medicine 2021;37(6):796-805
OBJECTIVES:
To investigate the inhibitory effect of cholecystokinin octapeptide (CCK-8) binding to cholecystokinin 2 receptor (CCK2R) on methamphetamine (METH)-induced neuronal apoptosis, and to explore the signal transduction mechanism of β-arrestin 2 in CCK-8 inhibiting METH-induced neuronal apoptosis.
METHODS:
SH-SY5Y cell line was cultured, and HEK293-CCK1R and HEK293-CCK2R cell line were constructed by lentivirus transfection. Small interfering RNA (siRNA) was used to knockdown the expression of β-arrestin 2. Annexin Ⅴ-FITC/PI staining and flow cytometry were used to detect the apoptotic rate of cells, and Western blotting was used to detect the expression of apoptosis-related proteins.
RESULTS:
The apoptosis of SH-SY5Y cells was induced by 1 mmol/L and 2 mmol/L METH treatment, the number of nuclear fragmentation and pyknotic cells was significantly increased, and the expression of apoptosis-related proteins Bax and cleaved caspase-3 were increased. CCK-8 pre-treatment at the dose of 0.1 mmol/L and 1 mmol/L significantly reversed METH-induced apoptosis in SH-SY5Y cells, and inhibited cell nuclear fragmentation, pyknosis and the changes of apoptosis-related proteins induced by METH. In lentivirus transfected HEK293-CCK1R and HEK293-CCK2R cells, the results revealed that CCK-8 had no significant effect on METH-induced changes of apoptosis-related proteins in HEK293-CCK1R cells, but it could inhibit the expression level of apoptosis-related proteins in HEK293-CCK2R cells induced by METH. The inhibitory effect of CCK-8 on METH-induced apoptosis was blocked by the knockdown of β-arrestin 2 expression in SH-SY5Y cells.
CONCLUSIONS
CCK-8 can bind to CCK2R and exert an inhibitory effect on METH-induced apoptosis by activating the β-arrestin 2 signal.
Apoptosis/physiology*
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Central Nervous System Stimulants/pharmacology*
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HEK293 Cells
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Humans
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Methamphetamine/pharmacology*
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Sincalide/pharmacology*
9.Mechanism of Biejiajian Wan in Reversing EMT in Rat Hetapic Oval Cells via Wnt/ β-catenin Pathway
Wen-ting ZHAO ; Jia-ling SUN ; Bin WEN ; Hai-tao SUN ; Xue-mei YANG ; Wei-cong CHEN ; Chun-yu HE ; Xiao-dan ZHONG ; Guan-xin CHEN ; Song-qi HE
Chinese Journal of Experimental Traditional Medical Formulae 2021;27(1):38-45
Objective:To study the effect of Biejiajian Wan on the epithelial-mesenchymal transition (EMT) of rat hepatic oval cells induced by transforming growth factor-
10.Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.
Teng-Fei YU ; Wen HE ; Cong-Gui GAN ; Ming-Chang ZHAO ; Qiang ZHU ; Wei ZHANG ; Hui WANG ; Yu-Kun LUO ; Fang NIE ; Li-Jun YUAN ; Yong WANG ; Yan-Li GUO ; Jian-Jun YUAN ; Li-Tao RUAN ; Yi-Cheng WANG ; Rui-Fang ZHANG ; Hong-Xia ZHANG ; Bin NING ; Hai-Man SONG ; Shuai ZHENG ; Yi LI ; Yang GUANG
Chinese Medical Journal 2021;134(4):415-424
BACKGROUND:
The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images.
METHODS:
Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists.
RESULTS:
The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%).
CONCLUSIONS:
The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists.
TRIAL REGISTRATION
Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve
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Breast/diagnostic imaging*
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Breast Neoplasms/diagnostic imaging*
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China
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Deep Learning
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Humans
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ROC Curve
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Sensitivity and Specificity

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