Screening of crosstalk and pyroptosis-related genes linking periodontitis and osteoporosis based on bioinformatics and machine learning

上睑下垂 串扰 基因 计算生物学 生物 生物信息学 遗传学 细胞凋亡 程序性细胞死亡 光学 物理
作者
Jia Liu,Ding Zhang,Yu Cao,Huichao Zhang,Jianing Li,Jingyu Xu,Ling Yu,Surong Ye,Luyi Yang
出处
期刊:Frontiers in Immunology [Frontiers Media]
卷期号:13 被引量:23
标识
DOI:10.3389/fimmu.2022.955441
摘要

This study aimed to identify crosstalk genes between periodontitis (PD) and osteoporosis (OP) and potential relationships between crosstalk and pyroptosis-related genes.PD and OP datasets were downloaded from the GEO database and were performed differential expression analysis to obtain DEGs. Overlapping DEGs got crosstalk genes linking PD and OP. Pyroptosis-related genes were obtained from literature reviews. Pearson coefficients were used to calculate crosstalk and pyroptosis-related gene correlations in the PD and OP datasets. Paired genes were obtained from the intersection of correlated genes in PD and OP. PINA and STRING databases were used to conduct the crosstalk-bridge-pyroptosis genes PPI network. The clusters in which crosstalk and pyroptosis-related genes were mainly concentrated were defined as key clusters. The key clusters' hub genes and the included paired genes were identified as key crosstalk-pyroptosis genes. Using ROC curve analysis and XGBoost screened key genes. PPI subnetwork, gene-biological process and gene-pathway networks were constructed based on key genes. In addition, immune infiltration was analyzed on the PD dataset using the CIBERSORT algorithm.A total of 69 crosstalk genes were obtained. 13 paired genes and hub genes TNF and EGFR in the key clusters (cluster2, cluster8) were identified as key crosstalk-pyroptosis genes. ROC and XGBoost showed that PRKCB, GSDMD, ARMCX3, and CASP3 were more accurate in predicting disease than other key crosstalk-pyroptosis genes while better classifying properties as a whole. KEGG analysis showed that PRKCB, GSDMD, ARMCX3, and CASP3 were involved in neutrophil extracellular trap formation and MAPK signaling pathway pathways. Immune infiltration results showed that all four key genes positively correlated with plasma cells and negatively correlated with T cells follicular helper, macrophages M2, and DCs.This study shows a joint mechanism between PD and OP through crosstalk and pyroptosis-related genes. The key genes PRKCB, GSDMD, ARMCX3, and CASP3 are involved in the neutrophil extracellular trap formation and MAPK signaling pathway, affecting both diseases. These findings may point the way to future research.
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
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
1秒前
1秒前
wu发布了新的文献求助10
1秒前
2秒前
于世不凡发布了新的文献求助10
2秒前
zmnzmnzmn应助我请问呢采纳,获得20
4秒前
4秒前
自信的高山完成签到,获得积分10
4秒前
4秒前
18166992885完成签到 ,获得积分10
4秒前
5秒前
malistm发布了新的文献求助10
5秒前
7秒前
7秒前
科研通AI5应助儒雅的秋珊采纳,获得10
7秒前
柴柴子完成签到 ,获得积分10
8秒前
西乡塘塘主完成签到,获得积分10
8秒前
科研通AI5应助LHL采纳,获得10
8秒前
shenglll完成签到 ,获得积分10
8秒前
安心完成签到,获得积分10
9秒前
姚小喵发布了新的文献求助10
10秒前
chen完成签到 ,获得积分10
10秒前
11秒前
charitial完成签到,获得积分10
11秒前
11秒前
zhangzhen发布了新的文献求助10
12秒前
hugo完成签到,获得积分10
14秒前
15秒前
zmnzmnzmn应助搞怪的凡梦采纳,获得30
15秒前
15秒前
red发布了新的文献求助10
17秒前
zhangzhen完成签到,获得积分10
17秒前
Wlin发布了新的文献求助20
19秒前
慕子默完成签到,获得积分10
20秒前
菜菜Cc发布了新的文献求助10
20秒前
20秒前
Hello应助shenshi采纳,获得10
21秒前
21秒前
21秒前
roselle完成签到,获得积分20
22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
ISCN 2024 – An International System for Human Cytogenomic Nomenclature (2024) 3000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Izeltabart tapatansine - AdisInsight 800
Maneuvering of a Damaged Navy Combatant 650
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3774373
求助须知:如何正确求助?哪些是违规求助? 3320082
关于积分的说明 10198279
捐赠科研通 3034686
什么是DOI,文献DOI怎么找? 1665122
邀请新用户注册赠送积分活动 796683
科研通“疑难数据库(出版商)”最低求助积分说明 757549