Identification of Potential Biomarkers and Therapeutic Targets for Periodontitis.

IF 3.2 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Wuda Huoshen, Hanfang Zhu, Junkai Xiong, Xinyu Chen, Yunjie Mou, Shuhan Hou, Bin Yang, Sha Yi, Yahan He, Haonan Huang, Chen Sun, Chunhui Li
{"title":"Identification of Potential Biomarkers and Therapeutic Targets for Periodontitis.","authors":"Wuda Huoshen, Hanfang Zhu, Junkai Xiong, Xinyu Chen, Yunjie Mou, Shuhan Hou, Bin Yang, Sha Yi, Yahan He, Haonan Huang, Chen Sun, Chunhui Li","doi":"10.1016/j.identj.2024.10.006","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Periodontitis is a chronic and multifactorial inflammatory disease. However, existing medications often lack sufficient therapeutic effects. The aim is to identify potential biomarkers and efficient therapeutic targets using Mendelian randomisation (MR) and single-cell analysis.</p><p><strong>Methods: </strong>MR analysis was conducted based on the cis-expression quantitative trait loci (cis-eQTLs) extracted from the eQTLGen Consortium and genome-wide association study (GWAS) data of periodontitis sourced from the Gene Lifestyle Interactions in Dental Endpoints (GLIDE) consortium (17,353 cases, 28,210 controls). Subsequently, colocalisation analysis was employed to detect whether genes and periodontitis shared the same casual variant. Finally, enrichment analysis, protein-protein interaction (PPI) networks, drug prediction, phenome-wide association study (PheWAS), molecular docking, and single-cell analysis were conducted to validate the significance of target genes.</p><p><strong>Results: </strong>Fourteen drug targets were significant related with periodontitis in MR analysis. Following the colocalisation and summary-data-based MR (SMR) analysis, 3 targets (S100A12, S100A9, and S100A8) were classified into tier 1 with strong evidence, 6 therapeutic targets (ADAM12, ADHFE1, BLK, HEBP1, SERPINE2, and TEK) were classified into tier 2 with moderate evidence, and 5 therapeutic targets (LY86, MMEL1, S100B, SPP1, and TRIB3) were classified into tier 3 with convincing evidence. PheWAS analysis showed that only TEK and SPP1 in tier 2 may induce side effects, including cardiometabolic and oncological issues. Molecular docking demonstrated strong binding between drugs and their respective protein targets. In the single-cell analysis, 5 target genes (HEBP1, LY86, S100A8, S100A9, and S100A12) exhibited enrichment in monocytes, while BLK and LY86 were primarily enriched in B cells.</p><p><strong>Conclusion: </strong>The study identified 14 potential therapeutic targets for periodontitis. Among these, 3 therapeutic targets (S100A12, S100A9, and S100A8) demonstrated robust and well-supported results. Drugs designed to target these genes have a higher possibility of success in clinical trials, which are hopeful for prioritising periodontitis drug development.</p>","PeriodicalId":13785,"journal":{"name":"International dental journal","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International dental journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.identj.2024.10.006","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Periodontitis is a chronic and multifactorial inflammatory disease. However, existing medications often lack sufficient therapeutic effects. The aim is to identify potential biomarkers and efficient therapeutic targets using Mendelian randomisation (MR) and single-cell analysis.

Methods: MR analysis was conducted based on the cis-expression quantitative trait loci (cis-eQTLs) extracted from the eQTLGen Consortium and genome-wide association study (GWAS) data of periodontitis sourced from the Gene Lifestyle Interactions in Dental Endpoints (GLIDE) consortium (17,353 cases, 28,210 controls). Subsequently, colocalisation analysis was employed to detect whether genes and periodontitis shared the same casual variant. Finally, enrichment analysis, protein-protein interaction (PPI) networks, drug prediction, phenome-wide association study (PheWAS), molecular docking, and single-cell analysis were conducted to validate the significance of target genes.

Results: Fourteen drug targets were significant related with periodontitis in MR analysis. Following the colocalisation and summary-data-based MR (SMR) analysis, 3 targets (S100A12, S100A9, and S100A8) were classified into tier 1 with strong evidence, 6 therapeutic targets (ADAM12, ADHFE1, BLK, HEBP1, SERPINE2, and TEK) were classified into tier 2 with moderate evidence, and 5 therapeutic targets (LY86, MMEL1, S100B, SPP1, and TRIB3) were classified into tier 3 with convincing evidence. PheWAS analysis showed that only TEK and SPP1 in tier 2 may induce side effects, including cardiometabolic and oncological issues. Molecular docking demonstrated strong binding between drugs and their respective protein targets. In the single-cell analysis, 5 target genes (HEBP1, LY86, S100A8, S100A9, and S100A12) exhibited enrichment in monocytes, while BLK and LY86 were primarily enriched in B cells.

Conclusion: The study identified 14 potential therapeutic targets for periodontitis. Among these, 3 therapeutic targets (S100A12, S100A9, and S100A8) demonstrated robust and well-supported results. Drugs designed to target these genes have a higher possibility of success in clinical trials, which are hopeful for prioritising periodontitis drug development.

确定牙周炎的潜在生物标志物和治疗靶点。
背景:牙周炎是一种慢性多因素炎症性疾病。然而,现有药物往往缺乏足够的治疗效果。本研究的目的是利用孟德尔随机化(MR)和单细胞分析来确定潜在的生物标志物和有效的治疗靶点:方法:MR分析基于从eQTLGen联盟提取的顺式表达定量性状位点(cis-eQTLs)和牙周炎全基因组关联研究(GWAS)数据,这些数据来自牙科终点基因生活方式相互作用(GLIDE)联盟(17353个病例,28210个对照)。随后,利用共定位分析检测基因和牙周炎是否具有相同的偶然变异。最后,通过富集分析、蛋白-蛋白相互作用(PPI)网络、药物预测、表观范围关联研究(PheWAS)、分子对接和单细胞分析来验证靶基因的重要性:结果:在磁共振分析中,14 个药物靶点与牙周炎有显著相关性。在共定位和基于数据摘要的MR(SMR)分析之后,3个靶点(S100A12、S100A9和S100A8)被归入证据确凿的第一级,6个治疗靶点(ADAM12、ADHFE1、BLK、HEBP1、SERPINE2和TEK)被归入证据中等的第二级,5个治疗靶点(LY86、MMEL1、S100B、SPP1和TRIB3)被归入证据令人信服的第三级。PheWAS分析表明,第2层中只有TEK和SPP1可能会引起副作用,包括心脏代谢和肿瘤问题。分子对接表明,药物与各自的蛋白质靶点之间有很强的结合力。在单细胞分析中,5个靶基因(HEBP1、LY86、S100A8、S100A9和S100A12)在单核细胞中富集,而BLK和LY86主要在B细胞中富集:结论:这项研究发现了 14 个潜在的牙周炎治疗靶点。结论:该研究发现了 14 个牙周炎的潜在治疗靶点,其中 3 个治疗靶点(S100A12、S100A9 和 S100A8)显示出了强大而可靠的结果。针对这些基因设计的药物在临床试验中获得成功的可能性更高,这对优先开发牙周炎药物充满了希望。
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
International dental journal
International dental journal 医学-牙科与口腔外科
CiteScore
4.80
自引率
6.10%
发文量
159
审稿时长
63 days
期刊介绍: The International Dental Journal features peer-reviewed, scientific articles relevant to international oral health issues, as well as practical, informative articles aimed at clinicians.
×
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:481959085
Book学术官方微信