1.Formulation and characteristics of self-microemulsifying drug delivery system for breviscapine
Ying CHEN ; Rong DU ; Ping LIU ; Hong LIU ; Huawen XIN
Chinese Traditional and Herbal Drugs 1994;0(03):-
Objective To study formulation and characteristics of self-microemulsifying drug delivery system for breviscapine(BRV-SMEDDS).Methods The optimum formulations of BRV-SMEDDS were screened by solubility tests,formula compatibility,and pseudo-ternary phase diagrams.And the physicochemical characters,dissolution in vitro and in situ rat's intestine absorption of BRV-SMEDDS were also observed.Results The optimum formulation of SMEDDS was composed of Maisine 35-1-Cremophor RH40-PEG400-TEA=25∶40∶35∶7.The particle diameter was 88.6 nm.The percent of accumulated dissolution of BRV in SMEDDS in vitro was up to 97.8% at 1h,which was 8.0 times as much as that of BRV powder,and 5.1 times as BRV tablets.In the tests of in situ rat's intestine absorption,the permeability coefficient of BRV-SMEDDS was increased by 3.4 times as much as BRV powder,and 3.3 times as BRV tablets.Conclusion The dissolution and absorption of BRV is improved by formulation of SMEDDS.It could provide reference for the new dosage form of BRV.
2.Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically.
Chuandi MEN ; Hongjuan CHAI ; Xumin SONG ; Yue LI ; Huawen DU ; Qing REN
Journal of Gynecologic Oncology 2017;28(6):e83-
OBJECTIVE: Endometrial cancer (EC) is a common gynecologic cancer worldwide. However, the pathogenesis of EC has not been epigenetically elucidated. Here, this study aims to describe the DNA methylation profile and identify favorable gene signatures highly associated with aberrant DNA methylation changes in EC. METHODS: The data regarding DNA methylation and gene expression were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially methylated CpG sites (DMCs), differentially methylated regions (DMRs), and differentially expressed genes (DEGs) were identified, and the relationship between the 2 omics was further analyzed. In addition, weighted CpG site co-methylation network (WCCN) was constructed followed by an integrated analysis of DNA methylation and gene expression data. RESULTS: Four hundred thirty-one tumor tissues and 46 tissues adjacent tumor of EC patients were analyzed. One thousand one hundred thirty-five DMCs (merging to 10 DMRs), and 1,488 DEGs were obtained between tumor and normal groups, respectively. One hundred forty-eight DMCs-DEGs correlated pairs and 13 regional DMCs-DEGs pairs were obtained. Interestingly, we found that some hub genes in 2 modules among 8 modules of WCCN analysis were down-regulated in tumor samples. Furthermore, protocadherins (PCDHs) clusters, DDP6, TNXB, and ZNF154 were identified as novel deregulated genes with altered methylation in EC. CONCLUSION: Based on the analysis of DNA methylation in a systematic view, the potential long-range epigenetic silencing (LRES) composed of PCDHs was reported in ECs for the first time. PCDHs clusters, DDP6, and TNXB were firstly found to be associated with tumorigenesis, and may be novel candidate biomarkers for EC.
Biomarkers
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Carcinogenesis
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DNA Methylation*
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DNA*
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Endometrial Neoplasms*
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Epigenomics
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Female
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Gene Expression*
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Genome
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Humans
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Methylation
3.Association of Genetic Polymorphism in ABCC2 with Cyclosporine Induced Liver Injury in Renal Transplant Recipients
Fan ZHOU ; Fei LIU ; Lei XIONG ; Airong YU ; Di DU ; Yangwen AI ; Xueyi ZHOU ; Jing YAN ; Huawen XIN
China Pharmacist 2018;21(6):1024-1028
Objective: To investigate the association between ABCC2 gene polymorphisms and cyclosporine-induced liver injury in re-nal transplant recipients. Methods: The renal transplant recipients were divided into the liver injury group and the control group. Five single nucleotide polymorphisms ( rs4919395, rs2804398, rs4148394, rs4148397 and rs3740065) of ABCC2 were detected by high-throughput technique. The genotypes and haplotypes were analyzed between the groups. Results: There were 35 patients and 182 patients respectively in the liver injury group and the control group. No significant differences in alleles and genotypes were found between the groups (P>0. 05), and the SNP haplotypes showed no significant difference between the groups (P>0. 05). Conclusion: There is no association of ABCC2 polymorphisms (rs4919395, rs2804398, rs4148394, rs4148397 and rs3740065) with the liver injury induced by cy-closporine.