Identify new pseudogene RPL7P1-oriented network as a drug target against infections pre-existing diabetes.

IF 1.4
Jiajun Chen, Chenxi Li, Ying Wang, Shiwei Chen, Xiangqi Li
{"title":"Identify new pseudogene RPL7P1-oriented network as a drug target against infections pre-existing diabetes.","authors":"Jiajun Chen, Chenxi Li, Ying Wang, Shiwei Chen, Xiangqi Li","doi":"10.1093/intbio/zyaf015","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Diabetes coexisting with infections (DCI) significantly increases the risk of severe outcomes and mortality in patients. This study proposes that RPL7P1, an uncharacterized pseudogene, plays a role in the pathogenesis of DCI.</p><p><strong>Methods: </strong>Using a multifaceted approach, we employed experimental datasets from ENCODE to identify key genes. Drug repositioning was performed using gene network analysis with z-scores and the ROCR package. Network expansion was facilitated by NetworkAnalyst's core algorithms, with disease validation through the NHGRI GWAS Catalog. Cytoscape was utilized for network visualization.</p><p><strong>Results: </strong>Our findings reveal RPL7P1's potential involvement in DCI through modulation of CBL and STXBP3 by sequestering hsa-miR-144-3p, interaction with IGF2BP2 protein, and crosstalk with ATP6V1E1 RNA. Single-cell profiling pinpointed endothelial cells as a potential signaling nexus. Therapeutic agents targeting the RPL7P1-centric network showed promise in managing infections in diabetic patients. Additionally, we identified key molecular players, the m6A modification of RPL7P1, and its role in cuproptosis-a novel form of cell death.</p><p><strong>Conclusion: </strong>This research elucidates the potential role of the novel pseudogene RPL7P1 in DCI, highlighting the importance of pseudogenes in complex diseases and providing novel insights into the epigenetic modulation of diabetes complicated by infections. Insight Box Diabetes and infections often coexist, complicating our understanding of their shared mechanisms. To address this, we employed a comprehensive suite of bioinformatics methods, including pathway mapping, ceRNA analysis, PPI evaluation, single-cell dissection, network modeling, and drug repositioning strategies. Our research revealed that RPL7P1 modulates signaling pathways by sponging miR-144-3p, interacting with IGF2BP2 and ATP6V1E1 RNA, and influencing cuproptosis-a novel form of cell death-through m6A modification, a key RNA modification. We identified endothelial cells as key mediators of the RPL7P1 network in the liver. Additionally, our integrative approach uncovered five potential therapeutic drugs targeting the RPL7P1 network. These findings provide novel insights into coexisting diabetes and infections, underscoring the value of multidisciplinary strategies in uncovering coexisting disease mechanisms and treatment opportunities.</p>","PeriodicalId":520649,"journal":{"name":"Integrative biology : quantitative biosciences from nano to macro","volume":"17 ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrative biology : quantitative biosciences from nano to macro","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/intbio/zyaf015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Diabetes coexisting with infections (DCI) significantly increases the risk of severe outcomes and mortality in patients. This study proposes that RPL7P1, an uncharacterized pseudogene, plays a role in the pathogenesis of DCI.

Methods: Using a multifaceted approach, we employed experimental datasets from ENCODE to identify key genes. Drug repositioning was performed using gene network analysis with z-scores and the ROCR package. Network expansion was facilitated by NetworkAnalyst's core algorithms, with disease validation through the NHGRI GWAS Catalog. Cytoscape was utilized for network visualization.

Results: Our findings reveal RPL7P1's potential involvement in DCI through modulation of CBL and STXBP3 by sequestering hsa-miR-144-3p, interaction with IGF2BP2 protein, and crosstalk with ATP6V1E1 RNA. Single-cell profiling pinpointed endothelial cells as a potential signaling nexus. Therapeutic agents targeting the RPL7P1-centric network showed promise in managing infections in diabetic patients. Additionally, we identified key molecular players, the m6A modification of RPL7P1, and its role in cuproptosis-a novel form of cell death.

Conclusion: This research elucidates the potential role of the novel pseudogene RPL7P1 in DCI, highlighting the importance of pseudogenes in complex diseases and providing novel insights into the epigenetic modulation of diabetes complicated by infections. Insight Box Diabetes and infections often coexist, complicating our understanding of their shared mechanisms. To address this, we employed a comprehensive suite of bioinformatics methods, including pathway mapping, ceRNA analysis, PPI evaluation, single-cell dissection, network modeling, and drug repositioning strategies. Our research revealed that RPL7P1 modulates signaling pathways by sponging miR-144-3p, interacting with IGF2BP2 and ATP6V1E1 RNA, and influencing cuproptosis-a novel form of cell death-through m6A modification, a key RNA modification. We identified endothelial cells as key mediators of the RPL7P1 network in the liver. Additionally, our integrative approach uncovered five potential therapeutic drugs targeting the RPL7P1 network. These findings provide novel insights into coexisting diabetes and infections, underscoring the value of multidisciplinary strategies in uncovering coexisting disease mechanisms and treatment opportunities.

确定新的假基因rpl7p1为导向的网络作为药物靶点来对抗糖尿病感染。
背景:糖尿病合并感染(DCI)显著增加患者严重结局和死亡的风险。本研究提出RPL7P1这一未被发现的假基因在DCI的发病机制中发挥作用。方法:采用多方面的方法,我们利用ENCODE的实验数据集来鉴定关键基因。采用z-score基因网络分析和ROCR软件包进行药物重新定位。NetworkAnalyst的核心算法促进了网络扩展,并通过NHGRI GWAS目录进行疾病验证。细胞景观用于网络可视化。结果:我们的研究结果揭示了RPL7P1通过隔离hsa-miR-144-3p,与IGF2BP2蛋白相互作用以及与ATP6V1E1 RNA的串扰,通过调节CBL和STXBP3参与DCI的潜在作用。单细胞分析指出内皮细胞是一个潜在的信号通路。靶向以rpl7p1为中心的网络的治疗药物在糖尿病患者的感染管理中显示出希望。此外,我们确定了关键的分子参与者,RPL7P1的m6A修饰,以及它在铜细胞凋亡(一种新的细胞死亡形式)中的作用。结论:本研究阐明了新型假基因RPL7P1在DCI中的潜在作用,突出了假基因在复杂疾病中的重要性,并为糖尿病并发感染的表观遗传调控提供了新的见解。糖尿病和感染经常共存,使我们对它们共同机制的理解复杂化。为了解决这个问题,我们采用了一套全面的生物信息学方法,包括通路作图、ceRNA分析、PPI评估、单细胞解剖、网络建模和药物重新定位策略。我们的研究表明,RPL7P1通过海绵miR-144-3p调节信号通路,与IGF2BP2和ATP6V1E1 RNA相互作用,并通过m6A修饰(一种关键的RNA修饰)影响铜细胞凋亡(一种新的细胞死亡形式)。我们发现内皮细胞是肝脏中RPL7P1网络的关键介质。此外,我们的综合方法发现了五种针对RPL7P1网络的潜在治疗药物。这些发现为共存的糖尿病和感染提供了新的见解,强调了多学科策略在揭示共存的疾病机制和治疗机会方面的价值。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信