• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

糖尿病血瘀证相关 microRNAs 的生物信息学分析。

Bioinformatics analysis of microRNAs related to blood stasis syndrome in diabetes mellitus patients.

机构信息

School of Chinese Medicine, Jinan University, Guangzhou, Guangdong 510632, China.

Reproductive Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong 511400, China.

出版信息

Biosci Rep. 2018 Mar 21;38(2). doi: 10.1042/BSR20171208. Print 2018 Apr 27.

DOI:10.1042/BSR20171208
PMID:29437903
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5861324/
Abstract

In traditional Chinese medicine (TCM), blood stasis syndrome (BSS) is mainly manifested by the increase of blood viscosity, platelet adhesion rate and aggregation, and the change of microcirculation, resulting in vascular endothelial injury. It is an important factor in the development of diabetes mellitus (DM). The aim of the present study was to screen out the potential candidate microRNAs (miRNAs) in DM patients with BSS by high-throughput sequencing (HTS) and bioinformatics analysis. Human umbilical vein endothelial cells (HUVECs) were incubated with 10% human serum to establish models of DM with BSS, DM without BSS (NBS), and normal control (NC). Total RNA of each sample was extracted and sequenced by the Hiseq2000 platform. Differentially expressed miRNAs (DE-miRNAs) were screened between samples and compared with known changes in mRNA abundance. Target genes of miRNAs were predicted by softwares. Gene Ontology (GO) and pathway enrichment analysis of the target genes were conducted. According to the significantly enriched GO annotations and pathways (-value ≤ 0.001), we selected the key miRNAs of DM with BSS. It showed that the number of DE-miRNAs in BSS was 32 compared with non-blood stasis syndrome (NBS) and NC. The potential candidate miRNAs were chosen from GO annotations in which target genes were significantly enriched (-log (-value) > 5), which included miR-140-5p, miR-210, miR-362-5p, miR-590-3p, and miR-671-3p. The present study screened out the potential candidate miRNAs in DM patients with BSS by HTS and bioinformatics analysis. The miRNAs will be helpful to provide valuable suggestions on clinical studies of DM with BSS at the gene level.

摘要

在中医(TCM)中,血瘀证主要表现为血液粘度增加、血小板黏附率和聚集率增加以及微循环改变,导致血管内皮损伤。血瘀证是糖尿病(DM)发展的重要因素。本研究旨在通过高通量测序(HTS)和生物信息学分析筛选出 DM 伴血瘀证患者的潜在候选 microRNAs(miRNAs)。用人脐静脉内皮细胞(HUVEC)孵育 10%人血清,建立 DM 伴血瘀证(BSS)、DM 无血瘀证(NBS)和正常对照(NC)模型。用 Hiseq2000 平台提取各样本总 RNA 并进行测序。筛选样本间差异表达的 miRNAs(DE-miRNAs),并与已知 mRNA 丰度变化进行比较。用软件预测 miRNA 的靶基因。对靶基因进行基因本体论(GO)和通路富集分析。根据显著富集的 GO 注释和通路(-值≤0.001),我们选择了 DM 伴血瘀证的关键 miRNAs。结果显示,BSS 组与非血瘀证组和 NC 组相比,DE-miRNA 的数量为 32。从靶基因显著富集的 GO 注释中选择潜在的候选 miRNAs(-log(-值)>5),包括 miR-140-5p、miR-210、miR-362-5p、miR-590-3p 和 miR-671-3p。本研究通过 HTS 和生物信息学分析筛选出 DM 伴血瘀证患者的潜在候选 miRNAs。这些 miRNA 将有助于为 DM 伴血瘀证的基因水平临床研究提供有价值的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ef0/5861324/2997061f6301/bsr-38-bsr20171208-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ef0/5861324/7b177ac85bab/bsr-38-bsr20171208-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ef0/5861324/8734b70e19c8/bsr-38-bsr20171208-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ef0/5861324/2997061f6301/bsr-38-bsr20171208-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ef0/5861324/7b177ac85bab/bsr-38-bsr20171208-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ef0/5861324/8734b70e19c8/bsr-38-bsr20171208-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ef0/5861324/2997061f6301/bsr-38-bsr20171208-g3.jpg

相似文献

1
Bioinformatics analysis of microRNAs related to blood stasis syndrome in diabetes mellitus patients.糖尿病血瘀证相关 microRNAs 的生物信息学分析。
Biosci Rep. 2018 Mar 21;38(2). doi: 10.1042/BSR20171208. Print 2018 Apr 27.
2
Differential expression of microRNA in endothelial cells incubated with serum of hypertension patients with blood-stasis syndrome.高血压血瘀证患者血清孵育的内皮细胞中微小RNA的差异表达
Chin J Integr Med. 2015 Nov;21(11):817-22. doi: 10.1007/s11655-015-2053-1. Epub 2015 Apr 11.
3
Identification of more objective biomarkers for Blood-Stasis syndrome diagnosis.寻找更客观的血瘀证诊断生物标志物。
BMC Complement Altern Med. 2016 Sep 22;16(1):371. doi: 10.1186/s12906-016-1349-9.
4
Effect of the Diabetic Environment On the Expression of MiRNAs in Endothelial Cells: Mir-149-5p Restoration Ameliorates the High Glucose-Induced Expression of TNF-α and ER Stress Markers.糖尿病环境对内皮细胞中微小RNA表达的影响:miR-149-5p的恢复可改善高糖诱导的肿瘤坏死因子-α表达及内质网应激标志物表达。
Cell Physiol Biochem. 2017;43(1):120-135. doi: 10.1159/000480330. Epub 2017 Aug 28.
5
Circulating microRNA expression profiling and bioinformatics analysis of patients with coronary artery disease by RNA sequencing.通过 RNA 测序对冠心病患者的循环 microRNA 表达谱进行分析和生物信息学分析。
J Clin Lab Anal. 2020 Jan;34(1):e23020. doi: 10.1002/jcla.23020. Epub 2019 Sep 5.
6
Identification of the differential expression of genes and upstream microRNAs in small cell lung cancer compared with normal lung based on bioinformatics analysis.基于生物信息学分析鉴定小细胞肺癌与正常肺组织中基因及上游微小RNA的差异表达。
Medicine (Baltimore). 2020 Mar;99(11):e19086. doi: 10.1097/MD.0000000000019086.
7
Expression profiling and bioinformatics analysis of circulating microRNAs in patients with acute myocardial infarction.急性心肌梗死患者循环微小 RNA 的表达谱分析和生物信息学分析。
J Clin Lab Anal. 2020 Mar;34(3):e23099. doi: 10.1002/jcla.23099. Epub 2019 Nov 12.
8
Identification of the key genes and microRNAs in adult acute myeloid leukemia with FLT3 mutation by bioinformatics analysis.生物信息学分析鉴定伴 FLT3 突变的成人急性髓系白血病的关键基因和 microRNAs。
Int J Med Sci. 2020 May 18;17(9):1269-1280. doi: 10.7150/ijms.46441. eCollection 2020.
9
Maternal diabetes alters microRNA expression in fetal exosomes, human umbilical vein endothelial cells and placenta.母体糖尿病改变胎儿外泌体、人脐静脉内皮细胞和胎盘的 microRNA 表达。
Pediatr Res. 2021 Apr;89(5):1157-1163. doi: 10.1038/s41390-020-1060-x. Epub 2020 Jul 14.
10
[Bioinformatics analysis of the microRNA expression profile in the peripheral blood lymphocytes of Kazakh patients with essential hypertension in Xinjiang].[新疆哈萨克族原发性高血压患者外周血淋巴细胞中微小RNA表达谱的生物信息学分析]
Sheng Li Xue Bao. 2022 Oct 25;74(5):751-762.

引用本文的文献

1
Olive Oil in the Mediterranean Diet and Its Biochemical and Molecular Effects on Cardiovascular Health through an Analysis of Genetics and Epigenetics.地中海饮食中的橄榄油及其通过遗传和表观遗传学分析对心血管健康的生化和分子作用。
Int J Mol Sci. 2022 Dec 15;23(24):16002. doi: 10.3390/ijms232416002.
2
A review on the role of miR-671 in human disorders.miR-671在人类疾病中的作用综述。
Front Mol Biosci. 2022 Dec 5;9:1077968. doi: 10.3389/fmolb.2022.1077968. eCollection 2022.
3
Identification of distinct circulating microRNAs in acute ischemic stroke patients with type 2 diabetes mellitus.

本文引用的文献

1
Serum and exosomal miR-122 and miR-199a as a biomarker to predict therapeutic efficacy of hepatitis C patients.血清和外泌体 miR-122 和 miR-199a 作为预测丙型肝炎患者治疗效果的生物标志物。
J Med Virol. 2017 Sep;89(9):1597-1605. doi: 10.1002/jmv.24829. Epub 2017 May 29.
2
Metabolic Stress and Compromised Identity of Pancreatic Beta Cells.代谢应激与胰腺β细胞的身份受损
Front Genet. 2017 Feb 21;8:21. doi: 10.3389/fgene.2017.00021. eCollection 2017.
3
ATF5 regulates β-cell survival during stress.激活转录因子5(ATF5)在应激过程中调节β细胞存活。
2型糖尿病急性缺血性中风患者中不同循环微小RNA的鉴定。
Front Cardiovasc Med. 2022 Oct 6;9:1024790. doi: 10.3389/fcvm.2022.1024790. eCollection 2022.
4
MicroRNA (miR)-590-3p alleviates high-glucose induced renal tubular epithelial cell damage by targeting C-X3-C motif chemokine ligand 1 (CX3CL1) in diabetic nephropathy.微小 RNA(miR)-590-3p 通过靶向糖尿病肾病中的 C-X3-C 基序趋化因子配体 1(CX3CL1)缓解高糖诱导的肾小管上皮细胞损伤。
Bioengineered. 2022 Jan;13(1):634-644. doi: 10.1080/21655979.2021.2012548.
5
MicroRNA-362-5p promotes the proliferation and inhibits apoptosis of trophoblast cells via targeting glutathione-disulfide reductase.miRNA-362-5p 通过靶向谷胱甘肽二硫化物还原酶促进滋养细胞的增殖并抑制其凋亡。
Bioengineered. 2021 Dec;12(1):2410-2419. doi: 10.1080/21655979.2021.1933678.
6
Association between the Mediterranean Diet and Metabolic Syndrome with Serum Levels of miRNA in Morbid Obesity.地中海饮食与代谢综合征与病态肥胖患者血清 miRNA 水平的关系。
Nutrients. 2021 Jan 29;13(2):436. doi: 10.3390/nu13020436.
7
Molecular pathophysiology of diabetes mellitus during pregnancy with antenatal complications.妊娠期伴发产前并发症的糖尿病分子病理生理学。
Sci Rep. 2020 Nov 12;10(1):19641. doi: 10.1038/s41598-020-76689-9.
Proc Natl Acad Sci U S A. 2017 Feb 7;114(6):1341-1346. doi: 10.1073/pnas.1620705114. Epub 2017 Jan 23.
4
Modern researches on Blood Stasis syndrome 1989-2015: A bibliometric analysis.1989 - 2015年血瘀证的现代研究:文献计量分析
Medicine (Baltimore). 2016 Dec;95(49):e5533. doi: 10.1097/MD.0000000000005533.
5
Identification of more objective biomarkers for Blood-Stasis syndrome diagnosis.寻找更客观的血瘀证诊断生物标志物。
BMC Complement Altern Med. 2016 Sep 22;16(1):371. doi: 10.1186/s12906-016-1349-9.
6
miRNA-1283 Regulates the PERK/ATF4 Pathway in Vascular Injury by Targeting ATF4.微小RNA-1283通过靶向激活转录因子4调控血管损伤中的蛋白激酶R样内质网激酶/激活转录因子4信号通路
PLoS One. 2016 Aug 18;11(8):e0159171. doi: 10.1371/journal.pone.0159171. eCollection 2016.
7
Exenatide Alters Gene Expression of Neural Cell Adhesion Molecule (NCAM), Intercellular Cell Adhesion Molecule (ICAM), and Vascular Cell Adhesion Molecule (VCAM) in the Hippocampus of Type 2 Diabetic Model Mice.艾塞那肽改变2型糖尿病模型小鼠海马体中神经细胞黏附分子(NCAM)、细胞间黏附分子(ICAM)和血管细胞黏附分子(VCAM)的基因表达。
Med Sci Monit. 2016 Jul 28;22:2664-9. doi: 10.12659/msm.897401.
8
Metabolomic profiling reveals distinct patterns of tricarboxylic acid disorders in blood stasis syndrome associated with coronary heart disease.代谢组学分析揭示冠心病血瘀证中三羧酸紊乱的独特模式。
Chin J Integr Med. 2016 Aug;22(8):597-604. doi: 10.1007/s11655-015-2401-1. Epub 2016 May 16.
9
Characterization of Micro-RNA Changes during the Progression of Type 2 Diabetes in Zucker Diabetic Fatty Rats.Zucker糖尿病肥胖大鼠2型糖尿病进展过程中微小RNA变化的特征分析
Int J Mol Sci. 2016 May 3;17(5):665. doi: 10.3390/ijms17050665.
10
Gene expression profiling reveals novel protective effects of Aminaphtone on ECV304 endothelial cells.基因表达谱分析揭示了氨基萘醌对ECV304内皮细胞的新保护作用。
Eur J Pharmacol. 2016 Jul 5;782:59-69. doi: 10.1016/j.ejphar.2016.04.018. Epub 2016 Apr 12.