Identification of pyroptosis-related genes and potential drugs in diabetic nephropathy

上睑下垂 小桶 计算生物学 基因 生物 Lasso(编程语言) 生物信息学 基因表达 遗传学 程序性细胞死亡 基因本体论 计算机科学 万维网 细胞凋亡
作者
Meng Yan,Wenwen Li,Rui Wei,Shuwen Li,Yan Liu,Yuan Huang
出处
期刊:Research Square - Research Square
标识
DOI:10.21203/rs.3.rs-2873055/v1
摘要

Abstract Background Diabetic nephropathy (DN) is one of the serious microvascular complications of diabetes mellitus (DM). A growing body of research has demonstrated that the inflammatory state plays a critical role in the incidence and development of DN. Pyroptosis is a new way of programmed cell death, which has the particularity of natural immune inflammation. The inhibition of inflammatory cytokine expression and regulation of pathways related to pyroptosis may be novel strategies for DN prevention and treatment. Correlational studies of pyroptosis in DN, however, remain to be elucidated. Methods DN differentially expressed pyroptosis-related genes were identified via bioinformatic analysis Gene Expression Omnibus (GEO) dataset GSE96804. Dataset GSE30528 and GSE142025 were downloaded to verify pyroptosis-related differentially expressed genes (DEGs). Least absolute shrinkage and selection operator (LASSO) regression analysis was used to construct a pyroptosis-related gene predictive model. A consensus clustering analysis was performed to identify pyroptosis-related DN subtypes. Subsequently, Gene Set Variation Analysis (GSVA), Gene Ontology (GO) function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were conducted to explore the differences between DN clusters. A protein–protein interaction (PPI) network was used to select hub genes and DGIdb database was used to screen potential therapeutic drugs/compounds targeting hub genes. Results A total of 24 differentially expressed pyroptosis-related genes were identified in DN. A 16 gene predictive model was conducted via LASSO regression analysis. On the basis of these 16 genes, DN cases were divided into two subtypes, and the subtypes are enriched in the regulation of inflammatory response, activation of immune response and cell metabolism. In addition, we identified 10 hub genes among these subtypes, and predicted 65 potential DN therapeutics that target key genes. Conclusion We identified 2 pyroptosis-related DN clusters and 65 potential therapeutical agents/compounds for DN, which might shed a light on the treatment of DN.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
脑洞疼应助小徐采纳,获得10
刚刚
大模型应助hushan53采纳,获得10
刚刚
rtx00完成签到,获得积分20
刚刚
12121231发布了新的文献求助10
刚刚
tianzml0应助jiejie采纳,获得10
2秒前
照徊亿发布了新的文献求助10
2秒前
FashionBoy应助lenon采纳,获得10
3秒前
YGTRECE发布了新的文献求助10
4秒前
4秒前
尽快看看发布了新的文献求助10
5秒前
ppat5012完成签到 ,获得积分20
6秒前
12121231完成签到,获得积分20
7秒前
搜集达人应助大白牛采纳,获得10
8秒前
8秒前
郝南烟发布了新的文献求助10
8秒前
10秒前
科研通AI2S应助starry采纳,获得10
10秒前
10秒前
11秒前
11秒前
Anokang完成签到 ,获得积分10
11秒前
13秒前
yangyu完成签到,获得积分10
13秒前
Raydiaz发布了新的文献求助10
13秒前
14秒前
jg发布了新的文献求助10
15秒前
15秒前
rtx00发布了新的文献求助10
15秒前
16秒前
芽衣发布了新的文献求助10
16秒前
16秒前
16秒前
Xu_ss发布了新的文献求助10
17秒前
youdation完成签到,获得积分10
18秒前
tianzml0应助姜奕康采纳,获得10
18秒前
照徊亿完成签到,获得积分10
18秒前
19秒前
萧羊青完成签到,获得积分10
19秒前
我来了发布了新的文献求助10
20秒前
23秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
Evolution 4000
좌파는 어떻게 좌파가 됐나:한국 급진노동운동의 형성과 궤적 2500
Sustainability in Tides Chemistry 1500
La Chine révolutionnaire d'aujourd'hui / Van Min, Kang Hsin 1000
TM 5-855-1(Fundamentals of protective design for conventional weapons) 1000
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3037169
求助须知:如何正确求助?哪些是违规求助? 2696126
关于积分的说明 7355236
捐赠科研通 2337975
什么是DOI,文献DOI怎么找? 1237439
科研通“疑难数据库(出版商)”最低求助积分说明 602481
版权声明 595006