1.Virtual Screening ofα-glycosidase Inhibitors in Cortex mori and Folium mori
Xiaodi SONG ; Xifeng ZHAI ; Jiaxing FENG ; Huiting JIANG ; Peijie MA
China Pharmacy 2017;28(4):508-511
OBJECTIVE:To virtually screen potential α-glycosidase inhibitor ingredients from C. mori and F. mori,and to pro-vide reference for finding out new typeα-glycosidase inhibitor ingredient. METHODS:Surflex-Dock module of Sybyl-x 2.0 molecu-lar simulation software was used to perform the docking of small molecule compound,which was from the ingredients of C. mori and F. mori as ligand stated in literatures,with α-glycosidase. Total score of affinity scoring function was equal to 7 as the thresh-old value,to judge potential α-glycosidase inhibitor ingredient in C. mori and F. mori. RESULTS:After 70 small molecule com-pounds docked with α-glycosidase, 10 compounds showed binding activity (Total score≥7.00). Among them, moracin M-3′-O-β-D-glucopyranoside,5,7,2′-trihydroxyflavanone-4′-O-β-D-glucoside,mulberroside A,resveratrol-4,3′-di-O-β-D-gluco-pyranoside and 1,4-dideoxy-1,4-imino-(2-O-β-D-glucopyranosyl)-D-arabinitol had higher binding activity with α-glycosidase(Total score>8.00). CONCLUSIONS:Multi-constituents of C. mori and F. Mori show potential α-glycosidase inhibitory activity. The method is a kind of highly targeted,rapid and efficient approach to discover α-glycosidase inhibitor from traditional Chinese medi-cine.
2.Establishment and validation of a risk prediction model combined CT-radiomics and clinical features for lymph node metastasis in hilar cholangiocarcinoma
Pengchao ZHAN ; Keyan LIU ; Xing LIU ; Hanyu JIANG ; Peijie LYU ; Jianbo GAO
Chinese Journal of Radiology 2024;58(4):409-415
Objective:To establish and validate a clinical and CT radiomics combined model for predicting lymph node metastasis (LNM) risk in patients with hilar cholangiocarcinoma (HCCA).Methods:This was a case-control study. Data from 158 pathologically confirmed HCCA patients between January 2016 and January 2022 at the First Affiliated Hospital of Zhengzhou University were retrospectively analyzed. Using stratified random sampling, the patients were randomly divided into a training set ( n=95) and an internal validation set ( n=63) at a 6∶4 ratio. According to postoperative pathology, 31 LNM-positive cases and 64 LNM-negative cases were in the training set, and 22 LNM-positive cases and 41 LNM-negative cases were in the internal validation set. A cohort of 50 HCCA patients was retrospectively collected from West China Hospital of Sichuan University between October 2018 and June 2021 as an external validation set, including 21 LNM-positive and 29 LNM-negative cases. Clinical features were selected by multivariate logistic regression analysis to establish a clinical model. Radiomics features were extracted from portal venous phase CT images using 3D Slicer software. A radiomics model was developed using the least absolute shrinkage and selection operator regression algorithm. A clinical-radiomics model was constructed by integrating clinical features and Radscore, and a nomogram was developed. The prediction performance of models was evaluated by the area under the receiver operating characteristic curve (AUC). The AUC values were compared using the DeLong test. Calibration curves and decision curves were plotted to assess calibration and clinical net benefit. Results:Clinical N (cN) staging was an independent risk factor for LNM ( OR=6.86, 95% CI 2.70-18.49, P<0.001). Totally 12 optimal features were selected to construct the radiomics model, and the clinical-radiomics nomogram model was constructed by combining cN staging and Radscore. In the external validation set, the AUC (95% CI) of the clinical model, radiomics model, and clinical-radiomics nomogram were 0.706 (0.576-0.836), 0.768 (0.637-0.899), and 0.803 (0.680-0.926), respectively. The nomogram achieved higher AUC than clinical and radiomics models with statistical significance ( Z=2.01, 2.21; P=0.044, 0.027). The calibration and decision curves demonstrated good model fit, providing clinical net benefits for patients. Conclusion:The clinical-radiomics nomogram model combining cN staging and CT radiomics features can effectively predict LNM risk in HCCA patients.
4.Phosphatidylethanolamine functionalized biomimetic monolith for immobilized artificial membrane chromatography
Peijie ZHU ; Weijia CHEN ; Qiqin WANG ; Huihui WU ; Meng RUAN ; Hongwu WANG ; Zhengjin JIANG
Journal of Pharmaceutical Analysis 2022;12(2):332-338
In this research,a new phospholipid based monolith was fabricated by in situ co-polymerization of 1-dodecanoyl-2-(11-methacrylamidoundecanoyl)-sn-glycero-3-phosphoethanolamine and ethylene dimethacrylate to mimick bio-membrane environment.Excellent physicochemical properties of this novel monolith that were achieved included column efficiency,stability,and permeability.Moreover,the biomimetic monolith showed outstanding separation capability for a series of intact proteins and small molecules.In particular,it exhibited good potential as an alternative to the commercial immobilized artificial membrane(IAM)column(IAM.PC.DD2)for studying drug-membrane interactions.This study not only enriched the types of IAM stationary phases,but also provided a simple model for the prediction of phosphatidylethanolamine related properties of drug candidates.
5.Anti-tumor effects of phytosphingosine on leukemia cells by inducing cell apoptosis
Guancui YANG ; Jinyi LIU ; Peijie JIANG ; Yuxi XU ; Xiaolong TIAN ; Xiaoqi WANG ; Rui WANG ; Shijie YANG ; Qingxiao SONG ; Jin WEI ; Xi ZHANG
Journal of Army Medical University 2024;46(4):359-368
Objective To preliminarily investigate the anti-tumor effects of phytosphingosine(PHS)and the involvement of inducing apoptosis of leukemia cells.Methods Cellular model of leukemia was established in leukemia cell lines K562 and SUP-B15.CCK-8 assay and EdU assay were used to measure the viability and DNA synthesis of K562 and SUP-B15 cells.RNA-seq was carried out to verify the differentially expressed genes(DEGs)after PHS treatment.Gene Ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were applied to analyze the involved functions and signaling pathways.Comparative Toxicogenomics Database(CTD)and Discovery Studio software were employed to predict the underlying targets of PHS and molecular docking.Cell apoptosis was detected by flow cytometry,mitochondrial membrane potential was evaluated by JC-1 probe,and protein expression of key molecules was validated by Western blotting.Results PHS inhibited the proliferation of K562 and SUP-B15 cells in a time-and dose-dependent manner.The half-maximal inhibitory concentration(IC50)of K562 cells was 17.67 and 12.52 pmol/L for 24 and 48 h,respectively,and the IC50 value of SUP-B15 cells was 17.58 and 14.86 μmol/L for 24 and 48 h,respectively.PHS treatment at a dose of 20 μmol/L for 48 h resulted in significant inhibition of DNA synthesis.GO enrichment analysis of the K562 cells showed that PHS might be involved in positive regulation of apoptotic process,plasma membrane and its integral components,and protein kinase binding and activity.Reverse predictive analysis showed that BCL-2 protein was the most likely target of PHS.PHS significantly increased the apoptotic rate of leukemia cells(P<0.05)in a dose-dependent manner,reduced the mitochondrial membrane potential,and down-regulated BCL-2 level(P<0.05)and up-regulated the levels of Cleaved caspase-3 and Cleaved caspase-9(P<0.05).Conclusion PHS may inhibit the proliferation of leukemia cells by inducing mitochondria-dependent apoptosis,possibly through PHS and BCL-2 interaction.