Using next‐generation sequencing to detect oral microbiome change following periodontal interventions: A systematic review

Objectives This systematic review was to evaluate the change of oral microbiome based on next‐generation sequencing (NGS)‐metagenomic analysis following periodontal interventions among systematically healthy subjects. Materials and Methods A structured search strategy consisting of “metagenomics” an...

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Published inOral diseases Vol. 27; no. 5; pp. 1073 - 1089
Main Authors Zhang, Ya, Qi, Yinliang, Lo, Edward C. M., McGrath, Colman, Mei, May Lei, Dai, Ruoxi
Format Journal Article
LanguageEnglish
Published Denmark Wiley Subscription Services, Inc 01.07.2021
John Wiley and Sons Inc
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Abstract Objectives This systematic review was to evaluate the change of oral microbiome based on next‐generation sequencing (NGS)‐metagenomic analysis following periodontal interventions among systematically healthy subjects. Materials and Methods A structured search strategy consisting of “metagenomics” and “oral diseases” was applied to PubMed, EMBASE, and Web of Science to identify effective papers. The included studies were original studies published in English, using metagenomic approach to analyze the effectiveness of periodontal intervention on oral microbiome among systematically healthy human subjects with periodontitis. Results A total of 12 papers were included in this review. Due to the heterogeneity of selected study, quantitative analysis was not performed. The findings as to how alpha diversity changed after interventions were not consistent across studies. Six studies illustrated clear separation of microbial composition between dental plaque samples collected before and after intervention using principal coordinates/component analysis. The most commonly detected genera before intervention were Porphyromonas, Treponema, Tannerella, and Prevotella, while Streptococcus and Actinomyces usually increased and became the dominant genera after intervention. Correlation network analysis revealed that after intervention, the topology of network was different compared to the corresponding pre‐interventional samples. Conclusion Existing evidence of metagenomic studies depicts a complex change in oral microbiome after periodontal intervention.
AbstractList Objectives This systematic review was to evaluate the change of oral microbiome based on next‐generation sequencing (NGS)‐metagenomic analysis following periodontal interventions among systematically healthy subjects. Materials and Methods A structured search strategy consisting of “metagenomics” and “oral diseases” was applied to PubMed, EMBASE, and Web of Science to identify effective papers. The included studies were original studies published in English, using metagenomic approach to analyze the effectiveness of periodontal intervention on oral microbiome among systematically healthy human subjects with periodontitis. Results A total of 12 papers were included in this review. Due to the heterogeneity of selected study, quantitative analysis was not performed. The findings as to how alpha diversity changed after interventions were not consistent across studies. Six studies illustrated clear separation of microbial composition between dental plaque samples collected before and after intervention using principal coordinates/component analysis. The most commonly detected genera before intervention were Porphyromonas, Treponema, Tannerella, and Prevotella, while Streptococcus and Actinomyces usually increased and became the dominant genera after intervention. Correlation network analysis revealed that after intervention, the topology of network was different compared to the corresponding pre‐interventional samples. Conclusion Existing evidence of metagenomic studies depicts a complex change in oral microbiome after periodontal intervention.
This systematic review was to evaluate the change of oral microbiome based on next-generation sequencing (NGS)-metagenomic analysis following periodontal interventions among systematically healthy subjects. A structured search strategy consisting of "metagenomics" and "oral diseases" was applied to PubMed, EMBASE, and Web of Science to identify effective papers. The included studies were original studies published in English, using metagenomic approach to analyze the effectiveness of periodontal intervention on oral microbiome among systematically healthy human subjects with periodontitis. A total of 12 papers were included in this review. Due to the heterogeneity of selected study, quantitative analysis was not performed. The findings as to how alpha diversity changed after interventions were not consistent across studies. Six studies illustrated clear separation of microbial composition between dental plaque samples collected before and after intervention using principal coordinates/component analysis. The most commonly detected genera before intervention were Porphyromonas, Treponema, Tannerella, and Prevotella, while Streptococcus and Actinomyces usually increased and became the dominant genera after intervention. Correlation network analysis revealed that after intervention, the topology of network was different compared to the corresponding pre-interventional samples. Existing evidence of metagenomic studies depicts a complex change in oral microbiome after periodontal intervention.
ObjectivesThis systematic review was to evaluate the change of oral microbiome based on next‐generation sequencing (NGS)‐metagenomic analysis following periodontal interventions among systematically healthy subjects.Materials and MethodsA structured search strategy consisting of “metagenomics” and “oral diseases” was applied to PubMed, EMBASE, and Web of Science to identify effective papers. The included studies were original studies published in English, using metagenomic approach to analyze the effectiveness of periodontal intervention on oral microbiome among systematically healthy human subjects with periodontitis.ResultsA total of 12 papers were included in this review. Due to the heterogeneity of selected study, quantitative analysis was not performed. The findings as to how alpha diversity changed after interventions were not consistent across studies. Six studies illustrated clear separation of microbial composition between dental plaque samples collected before and after intervention using principal coordinates/component analysis. The most commonly detected genera before intervention were Porphyromonas, Treponema, Tannerella, and Prevotella, while Streptococcus and Actinomyces usually increased and became the dominant genera after intervention. Correlation network analysis revealed that after intervention, the topology of network was different compared to the corresponding pre‐interventional samples.ConclusionExisting evidence of metagenomic studies depicts a complex change in oral microbiome after periodontal intervention.
This systematic review was to evaluate the change of oral microbiome based on next-generation sequencing (NGS)-metagenomic analysis following periodontal interventions among systematically healthy subjects.OBJECTIVESThis systematic review was to evaluate the change of oral microbiome based on next-generation sequencing (NGS)-metagenomic analysis following periodontal interventions among systematically healthy subjects.A structured search strategy consisting of "metagenomics" and "oral diseases" was applied to PubMed, EMBASE, and Web of Science to identify effective papers. The included studies were original studies published in English, using metagenomic approach to analyze the effectiveness of periodontal intervention on oral microbiome among systematically healthy human subjects with periodontitis.MATERIALS AND METHODSA structured search strategy consisting of "metagenomics" and "oral diseases" was applied to PubMed, EMBASE, and Web of Science to identify effective papers. The included studies were original studies published in English, using metagenomic approach to analyze the effectiveness of periodontal intervention on oral microbiome among systematically healthy human subjects with periodontitis.A total of 12 papers were included in this review. Due to the heterogeneity of selected study, quantitative analysis was not performed. The findings as to how alpha diversity changed after interventions were not consistent across studies. Six studies illustrated clear separation of microbial composition between dental plaque samples collected before and after intervention using principal coordinates/component analysis. The most commonly detected genera before intervention were Porphyromonas, Treponema, Tannerella, and Prevotella, while Streptococcus and Actinomyces usually increased and became the dominant genera after intervention. Correlation network analysis revealed that after intervention, the topology of network was different compared to the corresponding pre-interventional samples.RESULTSA total of 12 papers were included in this review. Due to the heterogeneity of selected study, quantitative analysis was not performed. The findings as to how alpha diversity changed after interventions were not consistent across studies. Six studies illustrated clear separation of microbial composition between dental plaque samples collected before and after intervention using principal coordinates/component analysis. The most commonly detected genera before intervention were Porphyromonas, Treponema, Tannerella, and Prevotella, while Streptococcus and Actinomyces usually increased and became the dominant genera after intervention. Correlation network analysis revealed that after intervention, the topology of network was different compared to the corresponding pre-interventional samples.Existing evidence of metagenomic studies depicts a complex change in oral microbiome after periodontal intervention.CONCLUSIONExisting evidence of metagenomic studies depicts a complex change in oral microbiome after periodontal intervention.
Author Mei, May Lei
Zhang, Ya
McGrath, Colman
Qi, Yinliang
Dai, Ruoxi
Lo, Edward C. M.
AuthorAffiliation 4 Faculty of Dentistry University of Otago Dunedin New Zealand
3 Department of Dental Public Health Faculty of Dentistry The University of Hong Kong Hong Kong
1 The Second People’s Hospital of Hefei Hefei Hospital Affiliated to Anhui Medical University Hefei China
2 Key Laboratory of Oral Diseases Research of Anhui Province Stomatological Hospital & College Anhui Medical University Hefei China
AuthorAffiliation_xml – name: 3 Department of Dental Public Health Faculty of Dentistry The University of Hong Kong Hong Kong
– name: 1 The Second People’s Hospital of Hefei Hefei Hospital Affiliated to Anhui Medical University Hefei China
– name: 2 Key Laboratory of Oral Diseases Research of Anhui Province Stomatological Hospital & College Anhui Medical University Hefei China
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Keywords metagenomic
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next-generation sequencing
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This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Ya Zhang and Yinliang Qi contributed equally to this work.
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Snippet Objectives This systematic review was to evaluate the change of oral microbiome based on next‐generation sequencing (NGS)‐metagenomic analysis following...
This systematic review was to evaluate the change of oral microbiome based on next-generation sequencing (NGS)-metagenomic analysis following periodontal...
ObjectivesThis systematic review was to evaluate the change of oral microbiome based on next‐generation sequencing (NGS)‐metagenomic analysis following...
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SourceType Open Access Repository
Aggregation Database
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StartPage 1073
SubjectTerms Dental plaque
Gum disease
High-Throughput Nucleotide Sequencing
Humans
Intervention
Metagenome
metagenomic
Metagenomics
Microbiomes
Microbiota - genetics
next‐generation sequencing
Periodontitis
Review
Reviews
Systematic review
Title Using next‐generation sequencing to detect oral microbiome change following periodontal interventions: A systematic review
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fodi.13405
https://www.ncbi.nlm.nih.gov/pubmed/32390250
https://www.proquest.com/docview/2540048729
https://www.proquest.com/docview/2401121103
https://pubmed.ncbi.nlm.nih.gov/PMC8247266
Volume 27
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