Lu Li, Yoshiko Hayashi-Okada, Karen L. Falkner, Yasumitsu Shimizu, Joseph J. Zambon, Keith L. Kirkwood, Robert E. Schifferle, Robert J. Genco, Patricia I. Diaz
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Here, we conducted a secondary analysis to evaluate microbiome outcomes of nonsurgical periodontal therapy alone or followed by an intensive antiplaque regimen, analyzing microbiome trajectories at the community level with respect to health.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Eighty-six subjects with periodontitis stages II/III were evaluated at baseline and 6 months after receiving scaling and root planing alone (SRP, <i>n</i> = 41) or followed by an antiplaque regimen consisting of use of 0.12% chlorhexidine for 3 months and interdental cleaners for 6 months (SRP + P + S, <i>n</i> = 45). Thirty periodontally healthy subjects served as reference. The subgingival microbiome was characterized by 16S rRNA gene sequencing, and longitudinal within-subject changes were quantified with respect to a healthy plane (HPL) modeled from the reference group.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Evaluation of individual microbiome trajectories showed that only the SRP + P + S group had a statistically significant reduction in distance to the HPL. However, responses were variable in both groups, with only a fraction of individuals changing in the direction of health. Random forest analysis revealed baseline microbiome composition as a greater predictor of microbiome response than type of treatment rendered.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>An adjunct antiplaque regimen resulted in a greater approximation of the microbiome to the healthy state. However, responses varied greatly among subjects highlighting the need for robust and personalized approaches to restore eubiosis.</p>\n </section>\n \n <section>\n \n <h3> Plain Language Summary</h3>\n \n <p>This study looked at how different treatments for gum disease change the bacteria in the gums of people with moderate to severe gum problems. Eighty-six people received standard gum treatments, and some also used a mouthwash and special tools to clean between their teeth at home. After 6 months, more people in the group that added the extra cleaning steps had healthier bacteria in their gums than people who received the standard treatment. However, not everyone responded the same way. The study found that the types of bacteria someone had at the start were better at predicting how well the treatment would work, more than the type of treatment itself. This means gum disease treatments may need to be personalized for better results.</p>\n </section>\n </div>","PeriodicalId":16716,"journal":{"name":"Journal of periodontology","volume":"96 3","pages":"241-254"},"PeriodicalIF":4.2000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effect of an intensive antiplaque regimen on microbiome outcomes after nonsurgical periodontal therapy\",\"authors\":\"Lu Li, Yoshiko Hayashi-Okada, Karen L. Falkner, Yasumitsu Shimizu, Joseph J. Zambon, Keith L. Kirkwood, Robert E. Schifferle, Robert J. Genco, Patricia I. Diaz\",\"doi\":\"10.1002/JPER.24-0141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>It has been well documented that periodontal treatment decreases the levels of certain disease-associated species in subgingival plaque. Few studies, however, investigate to which extent periodontal therapy restores a health-like subgingival community. Here, we conducted a secondary analysis to evaluate microbiome outcomes of nonsurgical periodontal therapy alone or followed by an intensive antiplaque regimen, analyzing microbiome trajectories at the community level with respect to health.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Eighty-six subjects with periodontitis stages II/III were evaluated at baseline and 6 months after receiving scaling and root planing alone (SRP, <i>n</i> = 41) or followed by an antiplaque regimen consisting of use of 0.12% chlorhexidine for 3 months and interdental cleaners for 6 months (SRP + P + S, <i>n</i> = 45). Thirty periodontally healthy subjects served as reference. The subgingival microbiome was characterized by 16S rRNA gene sequencing, and longitudinal within-subject changes were quantified with respect to a healthy plane (HPL) modeled from the reference group.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Evaluation of individual microbiome trajectories showed that only the SRP + P + S group had a statistically significant reduction in distance to the HPL. However, responses were variable in both groups, with only a fraction of individuals changing in the direction of health. Random forest analysis revealed baseline microbiome composition as a greater predictor of microbiome response than type of treatment rendered.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>An adjunct antiplaque regimen resulted in a greater approximation of the microbiome to the healthy state. 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引用次数: 0
摘要
背景:已有文献证明,牙周治疗可降低牙龈下菌斑中某些疾病相关菌种的水平。然而,很少有研究调查牙周治疗在多大程度上恢复了健康的牙龈下社区。在这里,我们进行了二次分析,以评估单独进行非手术牙周治疗或随后进行强化抗菌斑方案的微生物组结果,分析社区水平的微生物组轨迹与健康有关。方法:86名患有牙周炎II/III期的患者在基线和6个月后接受单独的洗牙和牙根平整(SRP, n = 41)或随后使用0.12%氯己定3个月和牙间清洁剂6个月(SRP + P + S, n = 45)的抗菌斑方案进行评估。以30名牙周健康者为对照。通过16S rRNA基因测序对龈下微生物组进行了表征,并对参照组健康平面(HPL)模型的受试者纵向变化进行了量化。结果:对个体微生物组轨迹的评估显示,只有SRP + P + S组与HPL的距离有统计学意义的减少。然而,两组的反应各不相同,只有一小部分人改变了健康方向。随机森林分析显示,基线微生物组组成比处理类型更能预测微生物组反应。结论:辅助抗菌斑方案导致微生物组更接近健康状态。然而,受试者之间的反应差异很大,这突出了需要稳健和个性化的方法来恢复益生。简单的语言总结:这项研究着眼于牙龈疾病的不同治疗方法如何改变中度至重度牙龈问题患者牙龈中的细菌。86人接受了标准的牙龈治疗,一些人还在家里使用漱口水和特殊工具清洁牙缝。6个月后,与接受标准治疗的人相比,加入额外清洁步骤的那组人的牙龈细菌更健康。然而,并不是每个人都有同样的反应。研究发现,一开始患者体内的细菌类型比治疗本身的类型更能预测治疗的效果。这意味着牙龈疾病的治疗可能需要个性化才能取得更好的效果。
Effect of an intensive antiplaque regimen on microbiome outcomes after nonsurgical periodontal therapy
Background
It has been well documented that periodontal treatment decreases the levels of certain disease-associated species in subgingival plaque. Few studies, however, investigate to which extent periodontal therapy restores a health-like subgingival community. Here, we conducted a secondary analysis to evaluate microbiome outcomes of nonsurgical periodontal therapy alone or followed by an intensive antiplaque regimen, analyzing microbiome trajectories at the community level with respect to health.
Methods
Eighty-six subjects with periodontitis stages II/III were evaluated at baseline and 6 months after receiving scaling and root planing alone (SRP, n = 41) or followed by an antiplaque regimen consisting of use of 0.12% chlorhexidine for 3 months and interdental cleaners for 6 months (SRP + P + S, n = 45). Thirty periodontally healthy subjects served as reference. The subgingival microbiome was characterized by 16S rRNA gene sequencing, and longitudinal within-subject changes were quantified with respect to a healthy plane (HPL) modeled from the reference group.
Results
Evaluation of individual microbiome trajectories showed that only the SRP + P + S group had a statistically significant reduction in distance to the HPL. However, responses were variable in both groups, with only a fraction of individuals changing in the direction of health. Random forest analysis revealed baseline microbiome composition as a greater predictor of microbiome response than type of treatment rendered.
Conclusion
An adjunct antiplaque regimen resulted in a greater approximation of the microbiome to the healthy state. However, responses varied greatly among subjects highlighting the need for robust and personalized approaches to restore eubiosis.
Plain Language Summary
This study looked at how different treatments for gum disease change the bacteria in the gums of people with moderate to severe gum problems. Eighty-six people received standard gum treatments, and some also used a mouthwash and special tools to clean between their teeth at home. After 6 months, more people in the group that added the extra cleaning steps had healthier bacteria in their gums than people who received the standard treatment. However, not everyone responded the same way. The study found that the types of bacteria someone had at the start were better at predicting how well the treatment would work, more than the type of treatment itself. This means gum disease treatments may need to be personalized for better results.