更新于：2024-11-01

CYPs x DGAT1

更新于：2024-11-01

基本信息

关联

项与 CYPs x DGAT1 相关的药物

SNP-610

靶点

CYPs x DGAT1

作用机制

CYPs基因转移 [+1]

在研机构

欣耀生医股份有限公司

原研机构

欣耀生医股份有限公司

在研适应症

非酒精性脂肪性肝炎

非在研适应症-

最高研发阶段临床2期

首次获批国家/地区-

首次获批日期1800-01-20

项与 CYPs x DGAT1 相关的临床试验

NCT03468556 / Not yet recruiting临床2期

A Randomized, Double-Blind, Placebo Controlled Study to Assess the Efficacy and Safety of SNP-610 for the Treatment of Patients With Non-alcoholic Steatohepatitis

The primary objective of the study is to compare the changes in serum ALT level among patients with non-alcoholic steatohepatitis (NASH) following 3-month treatment of 800 mg SNP-610 or the placebo. The secondary objectives will be to compare the changes in liver fat fraction, other liver function tests, cytokeratin-18 (CK-18) fragment level and adverse event / serious adverse event rates among the interventional and placebo arms.

开始日期2024-03-01

申办/合作机构

欣耀生医股份有限公司

100 项与 CYPs x DGAT1 相关的临床结果

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100 项与 CYPs x DGAT1 相关的转化医学

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0 项与 CYPs x DGAT1 相关的专利（医药）

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项与 CYPs x DGAT1 相关的文献（医药）

2020-12-01·Lipids in Health and Disease3区 · 医学

Lipid metabolism gene-wide profile and survival signature of lung adenocarcinoma

3区 · 医学

ArticleOA

作者: Feng, Tienan ; Zhao, Yong ; Li, Qiang ; Li, Jinyou ; Su, Zhenyu ; Zhang, Feng ; Sun, Qi ; Ma, Haitao ; Jiang, Jiayuan

AbstractBackgroundLung cancer has high morbidity and mortality across the globe, and lung adenocarcinoma (LUAD) is the most common histologic subtype. Disordered lipid metabolism is related to the development of cancer. Analysis of lipid-related transcriptome helps shed light on the diagnosis and prognostic biomarkers of LUAD.MethodsIn this study, expression analysis of 1045 lipid metabolism-related genes was performed between LUAD tumors and normal tissues derived from the Cancer Genome Atlas Lung Adenocarcinoma (TCGA-LUAD) cohort. The interaction network of differentially expressed genes (DEGs) was constructed to identify the hub genes. The association between hub genes and overall survival (OS) was evaluated and formed a model to predict the prognosis of LUAD using a nomogram. The model was validated by another cohort, GSE13213.ResultsA total of 217 lipid metabolism-related DEGs were detected in LUAD. Genes were significantly enriched in glycerophospholipid metabolism, fatty acid metabolic process, and eicosanoid signaling. Through network analysis and cytoHubba, 6 hub genes were identified, includingINS,LPL,HPGDS,DGAT1,UGT1A6, andCYP2C9. High expression ofCYP2C9,UGT1A6, andINS, and low expressions ofDGAT1,HPGDS, andLPL, were associated with worse overall survival for 1925 LUAD patients. The model showed that the high-risk score group had a worse OS, and the validated cohort showed the same result.ConclusionsIn this study, a signature of 6 lipid metabolism genes was constructed, which was significantly associated with the diagnosis and prognosis of LUAD patients. Thus, the gene signature can be used as a biomarker for LUAD.

2020-09-01·The Journal of Steroid Biochemistry and Molecular Biology2区 · 生物学

Differential actions of diacylglycerol acyltransferase (DGAT) 1 and 2 in regulating lipid metabolism and progesterone secretion of goose granulosa cells

2区 · 生物学

Article

作者: Kang, Bo ; Hu, Bo ; Xia, Lu ; Gan, Xiang ; Chen, Xi ; He, Hua ; Liu, Hehe ; Gao, Shanyan ; Liang, Li ; Wang, Jiwen ; Zhu, Jiaran ; Hu, Shenqiang ; Han, Chunchun ; Hu, Jiwei

Accumulating evidence shows that granulosa cells within both mammalian and avian ovaries have the ability to synthesize fatty acids through de novo lipogenesis and to accumulate triglycerides essential for oocyte and ovarian development. However, very little is known about the exact roles of key genes involved in the lipid metabolic pathway in granulosa cells. The goal of this study was to investigate the differential actions of diacylglycerol acyltransferase (DGAT) 1 and 2, which are recognized as the rate-limiting enzymes catalyzing the last step of triglyceride biosynthesis, in regulating lipid metabolism and steroidogenesis in granulosa cells of goose follicles at different developmental stages. It was observed that the mRNAs encoding DGAT1 and DGAT2 were ubiquitous in all examined granulosa cell layers but exhibited distinct expression profiles during follicle development. Notably, the mRNA levels of DGAT1, DGAT2, FSHR, LHR, STAR, CYP11A1, and 3βHSD remained almost constant in all except for 1-2 follicles within the 8-10 mm cohort, followed by an acute increase/decrease in the F5 follicles. At the cellular level, siRNA-mediated downregulation of DGAT1 or DGAT2 did not change the amount of lipids accumulated in both undifferentiated- and differentiated granulosa cells, while overexpression of DGAT2 promoted lipid accumulation and expression of lipogenic-related genes in these cells. Meanwhile, we found that interfering DGAT2 had no effect but interfering DGAT1 or overexpressing DGAT2 stimulated progesterone secretion in undifferentiated granulosa cells; in contrast, interference or overexpression of DGAT1/2 failed to change progesterone levels in differentiated granulosa cells but differently modulated expression of steroidogenic-related genes. Therefore, it could be concluded that DGAT1 is less efficient than DGAT2 in promoting lipid accumulation in both undifferentiated- and differentiated granulosa cells and that DGAT1 negatively while DGAT2 positively regulates progesterone production in undifferentiated granulosa cells.

2018-12-01·Journal of Dairy Science1区 · 农林科学

Genome-wide association study of milk fatty acid composition in Italian Simmental and Italian Holstein cows using single nucleotide polymorphism arrays

1区 · 农林科学

Article

作者: Ajmone-Marsan, P ; Capomaccio, S ; Nicolazzi, E ; Pilla, F ; Stefanon, B ; Milanesi, M ; Mele, M ; D'Andrea, M ; Sgorlon, S ; Palombo, V

Bovine milk is important for human nutrition, but its fat content is often criticized as a risk factor in cardiovascular disease. Selective breeding programs could be used to alter the fatty acid (FA) composition of bovine milk to improve the healthiness of dairy products for human consumption. Here, we performed a genome-wide association study (GWAS) on bovine milk to identify genomic regions or specific genes associated with FA profile and to investigate genetic differences between the Italian Simmental (IS) and Italian Holstein (IH) breeds. To achieve this, we first characterized milk samples from 416 IS cows and 436 IH cows for their fat profile by gas chromatography. Subjects were genotyped with single nucleotide polymorphism array and a single-marker regression model for GWAS was performed. Our findings confirm previously reported quantitative trait loci strongly associated with bovine milk fat composition. More specifically, our GWAS results revealed significant signals on chromosomes Bos taurus autosome 19 and 26 for milk FA. Further analysis using a gene-centric approach and pathway meta-analysis identified not only some well-known genes underlying quantitative trait loci for milk FA components, such as FASN, SCD, and DGAT1, but also other significant candidate genes, including some with functional roles in pathways related to "Lipid metabolism." Highlighted genes related to FA profile include ECI2, PCYT2, DCXR, G6PC3, PYCR1, and ALG12 in IS, and CYP17A1, ACO2, PI4K2A, GOT1, GPT, NT5C2, PDE6G, POLR3H, and COX15 in IH. Overall, the breed-specific association outcomes reflect differences in the genetic backgrounds of the IS and IH breeds and their selective breeding histories.