Discovery of Drug-Responsive Phenomic Alteration-Related Driver Genes in the Treatment of Coronary Heart Disease.

IF 1.8 4区 医学 Q3 PHARMACOLOGY & PHARMACY Pharmacogenomics & Personalized Medicine Pub Date : 2023-01-01 DOI:10.2147/PGPM.S398522
Shuang Guan, Ya-Nan Yu, Bing Li, Hao Gu, Lin Chen, Nian Wang, Bo Wang, Xi Liu, Jun Liu, Zhong Wang
{"title":"Discovery of Drug-Responsive Phenomic Alteration-Related Driver Genes in the Treatment of Coronary Heart Disease.","authors":"Shuang Guan,&nbsp;Ya-Nan Yu,&nbsp;Bing Li,&nbsp;Hao Gu,&nbsp;Lin Chen,&nbsp;Nian Wang,&nbsp;Bo Wang,&nbsp;Xi Liu,&nbsp;Jun Liu,&nbsp;Zhong Wang","doi":"10.2147/PGPM.S398522","DOIUrl":null,"url":null,"abstract":"Background The Xueyu Zheng (XYZ) phenome is central to coronary heart disease (CHD), but efforts to detect genetic associations in the XYZ phenome have been disappointing. Methods The phenomic alteration-related genes (PARGs) for the XYZ phenome were screened using |ρ| > 0.4 and p < 0.05 after treatment with Danhong injection at day 14 and day 30. Then, the driver genes for the Protein-Protein Interaction (PPI) networks of the PARGs established using STRING 11.0 were detected using a personalized network control algorithm (PNC). Finally, the molecular correlations of the driver genes with the XYZ phenome were analyzed with the Gene Ontology (GO) biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways from a holistic viewpoint. Results A total of 525 and 309 PARGs in the XYZ phenome at day 14 and day 30 were identified. These genes were separately enriched in 48 and 35 pathways. Furthermore, five driver genes were detected. These genes were mainly correlated with endoplasmic reticulum stress-mediated apoptosis and autophagy regulation, which could suppress atherosclerosis progression. Conclusion Our study detected the drug-responsive PARGs of the XYZ phenome in CHD and provides an exemplary strategy to investigate the genetic associations among this common phenome and its component symptoms in patients with CHD. Trial Registration ClinicalTrials.gov, NCT01681316; registered on September 7, 2012.","PeriodicalId":56015,"journal":{"name":"Pharmacogenomics & Personalized Medicine","volume":"16 ","pages":"201-217"},"PeriodicalIF":1.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/98/18/pgpm-16-201.PMC10024908.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacogenomics & Personalized Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/PGPM.S398522","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

Background The Xueyu Zheng (XYZ) phenome is central to coronary heart disease (CHD), but efforts to detect genetic associations in the XYZ phenome have been disappointing. Methods The phenomic alteration-related genes (PARGs) for the XYZ phenome were screened using |ρ| > 0.4 and p < 0.05 after treatment with Danhong injection at day 14 and day 30. Then, the driver genes for the Protein-Protein Interaction (PPI) networks of the PARGs established using STRING 11.0 were detected using a personalized network control algorithm (PNC). Finally, the molecular correlations of the driver genes with the XYZ phenome were analyzed with the Gene Ontology (GO) biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways from a holistic viewpoint. Results A total of 525 and 309 PARGs in the XYZ phenome at day 14 and day 30 were identified. These genes were separately enriched in 48 and 35 pathways. Furthermore, five driver genes were detected. These genes were mainly correlated with endoplasmic reticulum stress-mediated apoptosis and autophagy regulation, which could suppress atherosclerosis progression. Conclusion Our study detected the drug-responsive PARGs of the XYZ phenome in CHD and provides an exemplary strategy to investigate the genetic associations among this common phenome and its component symptoms in patients with CHD. Trial Registration ClinicalTrials.gov, NCT01681316; registered on September 7, 2012.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
冠心病治疗中药物反应性表型改变相关驱动基因的发现
背景:血凝征(XYZ)表型是冠心病的核心,但检测XYZ表型的遗传关联的努力令人失望。方法:丹红注射液治疗后第14天、第30天,采用|ρ| > 0.4、p < 0.05筛选XYZ表型组的表型改变相关基因(PARGs)。然后,使用个性化网络控制算法(PNC)检测使用STRING 11.0建立的PARGs蛋白-蛋白相互作用(PPI)网络的驱动基因。最后,利用基因本体(GO)生物学过程和京都基因与基因组百科全书(KEGG)途径从整体角度分析了驱动基因与XYZ现象组的分子相关性。结果:在第14天和第30天,XYZ表型中共鉴定出525个和309个PARGs。这些基因分别在48条和35条途径中富集。此外,还检测到5个驱动基因。这些基因主要与内质网应激介导的细胞凋亡和自噬调控相关,可抑制动脉粥样硬化的进展。结论:我们的研究在冠心病患者中检测到XYZ表型的药物反应性PARGs,并提供了一种典型的策略来研究这种常见表型与其组成症状之间的遗传关联。试验注册:ClinicalTrials.gov, NCT01681316;于2012年9月7日注册。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Pharmacogenomics & Personalized Medicine
Pharmacogenomics & Personalized Medicine Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
3.30
自引率
5.30%
发文量
110
审稿时长
16 weeks
期刊介绍: Pharmacogenomics and Personalized Medicine is an international, peer-reviewed, open-access journal characterizing the influence of genotype on pharmacology leading to the development of personalized treatment programs and individualized drug selection for improved safety, efficacy and sustainability. In particular, emphasis will be given to: Genomic and proteomic profiling Genetics and drug metabolism Targeted drug identification and discovery Optimizing drug selection & dosage based on patient''s genetic profile Drug related morbidity & mortality intervention Advanced disease screening and targeted therapeutic intervention Genetic based vaccine development Patient satisfaction and preference Health economic evaluations Practical and organizational issues in the development and implementation of personalized medicine programs.
期刊最新文献
Hsa_circ_0078767 Enhances Osteosarcoma Chemoresistance to Doxorubicin Through the Regulation of the miR-188-3p/GPX4 Axis. Immune Microenvironment Alterations and Identification of Key Diagnostic Biomarkers in Chronic Kidney Disease Using Integrated Bioinformatics and Machine Learning. Genetic Diversity Landscape in African Population: A Review of Implications for Personalized and Precision Medicine. Pharmacogenomic Study of Selected Genes Affecting Amlodipine Blood Pressure Response in Patients with Hypertension. Bioinformatics-Based Identification of Key Prognostic Genes in Neuroblastoma with a Focus on Immune Cell Infiltration and Diagnostic Potential of VGF.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1