确定牙周炎的潜在生物标志物和治疗靶点。

IF 3.2 3区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE International dental journal Pub Date : 2024-11-11 DOI:10.1016/j.identj.2024.10.006
Wuda Huoshen, Hanfang Zhu, Junkai Xiong, Xinyu Chen, Yunjie Mou, Shuhan Hou, Bin Yang, Sha Yi, Yahan He, Haonan Huang, Chen Sun, Chunhui Li
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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. 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引用次数: 0

摘要

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。
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Identification of Potential Biomarkers and Therapeutic Targets for Periodontitis.

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.

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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.
期刊最新文献
Examining the Impact of Natural Teeth Trajectory on Mortality Among CLHLS. Exploring the Nonlinear Relationship Between Dietary Flavonoid Intake and Periodontitis. Identification of Potential Biomarkers and Therapeutic Targets for Periodontitis. Influence of Implant Surfaces on Peri-Implant Diseases - A Systematic Review and Meta-Analysis. Large Language Models in Dental Licensing Examinations: Systematic Review and Meta-Analysis.
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