Discriminating Microbial Community Structure Between Peri-Implantitis and Periodontitis With Integrated Metagenomic, Metatranscriptomic, and Network Analysis
Peri-implantitis and periodontitis are both polymicrobial diseases induced by subgingival plaque accumulation, with some differing clinical features. Studies on the microbial and gene transcription activity of peri-implantitis microbiota are limited. This study aimed to verify the hypothesis that di...
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| Published in | Frontiers in cellular and infection microbiology Vol. 10; p. 596490 |
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| Main Authors | , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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Switzerland
Frontiers Media S.A
11.12.2020
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| Abstract | Peri-implantitis and periodontitis are both polymicrobial diseases induced by subgingival plaque accumulation, with some differing clinical features. Studies on the microbial and gene transcription activity of peri-implantitis microbiota are limited. This study aimed to verify the hypothesis that disease-specific microbial and gene transcription activity lead to disease-specific clinical features, using an integrated metagenomic, metatranscriptomic, and network analysis. Metagenomic data in peri-implantitis and periodontitis were obtained from the same 21 subjects and metatranscriptomic data from 12 subjects were obtained from a database. The microbial co-occurrence network based on metagenomic analysis had more diverse species taxa and correlations than the network based on the metatranscriptomic analysis.
Solobacterium moorei
and
Prevotella denticola
had high activity and were core species taxa specific to peri-implantitis in the co-occurrence network. Moreover, the activity of plasmin receptor/glyceraldehyde-3-phosphate dehydrogenase genes was higher in peri-implantitis. These activity differences may increase complexity in the peri-implantitis microbiome and distinguish clinical symptoms of the two diseases. These findings should help in exploring a novel biomarker that assist in the diagnosis and preventive treatment design of peri-implantitis. |
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| AbstractList | Peri-implantitis and periodontitis are both polymicrobial diseases induced by subgingival plaque accumulation, with some differing clinical features. Studies on the microbial and gene transcription activity of peri-implantitis microbiota are limited. This study aimed to verify the hypothesis that disease-specific microbial and gene transcription activity lead to disease-specific clinical features, using an integrated metagenomic, metatranscriptomic, and network analysis. Metagenomic data in peri-implantitis and periodontitis were obtained from the same 21 subjects and metatranscriptomic data from 12 subjects were obtained from a database. The microbial co-occurrence network based on metagenomic analysis had more diverse species taxa and correlations than the network based on the metatranscriptomic analysis. Solobacterium moorei and Prevotella denticola had high activity and were core species taxa specific to peri-implantitis in the co-occurrence network. Moreover, the activity of plasmin receptor/glyceraldehyde-3-phosphate dehydrogenase genes was higher in peri-implantitis. These activity differences may increase complexity in the peri-implantitis microbiome and distinguish clinical symptoms of the two diseases. These findings should help in exploring a novel biomarker that assist in the diagnosis and preventive treatment design of peri-implantitis. Peri-implantitis and periodontitis are both polymicrobial diseases induced by subgingival plaque accumulation, with some differing clinical features. Studies on the microbial and gene transcription activity of peri-implantitis microbiota are limited. This study aimed to verify the hypothesis that disease-specific microbial and gene transcription activity lead to disease-specific clinical features, using an integrated metagenomic, metatranscriptomic, and network analysis. Metagenomic data in peri-implantitis and periodontitis were obtained from the same 21 subjects and metatranscriptomic data from 12 subjects were obtained from a database. The microbial co-occurrence network based on metagenomic analysis had more diverse species taxa and correlations than the network based on the metatranscriptomic analysis. Solobacterium moorei and Prevotella denticola had high activity and were core species taxa specific to peri-implantitis in the co-occurrence network. Moreover, the activity of plasmin receptor/glyceraldehyde-3-phosphate dehydrogenase genes was higher in peri-implantitis. These activity differences may increase complexity in the peri-implantitis microbiome and distinguish clinical symptoms of the two diseases. These findings should help in exploring a novel biomarker that assist in the diagnosis and preventive treatment design of peri-implantitis.Peri-implantitis and periodontitis are both polymicrobial diseases induced by subgingival plaque accumulation, with some differing clinical features. Studies on the microbial and gene transcription activity of peri-implantitis microbiota are limited. This study aimed to verify the hypothesis that disease-specific microbial and gene transcription activity lead to disease-specific clinical features, using an integrated metagenomic, metatranscriptomic, and network analysis. Metagenomic data in peri-implantitis and periodontitis were obtained from the same 21 subjects and metatranscriptomic data from 12 subjects were obtained from a database. The microbial co-occurrence network based on metagenomic analysis had more diverse species taxa and correlations than the network based on the metatranscriptomic analysis. Solobacterium moorei and Prevotella denticola had high activity and were core species taxa specific to peri-implantitis in the co-occurrence network. Moreover, the activity of plasmin receptor/glyceraldehyde-3-phosphate dehydrogenase genes was higher in peri-implantitis. These activity differences may increase complexity in the peri-implantitis microbiome and distinguish clinical symptoms of the two diseases. These findings should help in exploring a novel biomarker that assist in the diagnosis and preventive treatment design of peri-implantitis. Peri-implantitis and periodontitis are both polymicrobial diseases induced by subgingival plaque accumulation, with some differing clinical features. Studies on the microbial and gene transcription activity of peri-implantitis microbiota are limited. This study aimed to verify the hypothesis that disease-specific microbial and gene transcription activity lead to disease-specific clinical features, using an integrated metagenomic, metatranscriptomic, and network analysis. Metagenomic data in peri-implantitis and periodontitis were obtained from the same 21 subjects and metatranscriptomic data from 12 subjects were obtained from a database. The microbial co-occurrence network based on metagenomic analysis had more diverse species taxa and correlations than the network based on the metatranscriptomic analysis. and had high activity and were core species taxa specific to peri-implantitis in the co-occurrence network. Moreover, the activity of plasmin receptor/glyceraldehyde-3-phosphate dehydrogenase genes was higher in peri-implantitis. These activity differences may increase complexity in the peri-implantitis microbiome and distinguish clinical symptoms of the two diseases. These findings should help in exploring a novel biomarker that assist in the diagnosis and preventive treatment design of peri-implantitis. Peri-implantitis and periodontitis are both polymicrobial diseases induced by subgingival plaque accumulation, with some differing clinical features. Studies on the microbial and gene transcription activity of peri-implantitis microbiota are limited. This study aimed to verify the hypothesis that disease-specific microbial and gene transcription activity lead to disease-specific clinical features, using an integrated metagenomic, metatranscriptomic, and network analysis. Metagenomic data in peri-implantitis and periodontitis were obtained from the same 21 subjects and metatranscriptomic data from 12 subjects were obtained from a database. The microbial co-occurrence network based on metagenomic analysis had more diverse species taxa and correlations than the network based on the metatranscriptomic analysis. Solobacterium moorei and Prevotella denticola had high activity and were core species taxa specific to peri-implantitis in the co-occurrence network. Moreover, the activity of plasmin receptor/glyceraldehyde-3-phosphate dehydrogenase genes was higher in peri-implantitis. These activity differences may increase complexity in the peri-implantitis microbiome and distinguish clinical symptoms of the two diseases. These findings should help in exploring a novel biomarker that assist in the diagnosis and preventive treatment design of peri-implantitis. |
| Author | Shiba, Takahiko Katagiri, Sayaka Takeuchi, Yasuo Watanabe, Takayasu Koyanagi, Tatsuro Shimogishi, Masahiro Shibasaki, Masaki Nemoto, Takashi Iwata, Takanori Komatsu, Keiji Kasugai, Shohei |
| AuthorAffiliation | 2 Department of Chemistry, Nihon University School of Dentistry , Tokyo , Japan 3 Oral Implantology and Regenerative Dental Medicine, Tokyo Medical and Dental University , Tokyo , Japan 1 Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University , Tokyo , Japan |
| AuthorAffiliation_xml | – name: 3 Oral Implantology and Regenerative Dental Medicine, Tokyo Medical and Dental University , Tokyo , Japan – name: 2 Department of Chemistry, Nihon University School of Dentistry , Tokyo , Japan – name: 1 Department of Periodontology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University , Tokyo , Japan |
| Author_xml | – sequence: 1 givenname: Keiji surname: Komatsu fullname: Komatsu, Keiji – sequence: 2 givenname: Takahiko surname: Shiba fullname: Shiba, Takahiko – sequence: 3 givenname: Yasuo surname: Takeuchi fullname: Takeuchi, Yasuo – sequence: 4 givenname: Takayasu surname: Watanabe fullname: Watanabe, Takayasu – sequence: 5 givenname: Tatsuro surname: Koyanagi fullname: Koyanagi, Tatsuro – sequence: 6 givenname: Takashi surname: Nemoto fullname: Nemoto, Takashi – sequence: 7 givenname: Masahiro surname: Shimogishi fullname: Shimogishi, Masahiro – sequence: 8 givenname: Masaki surname: Shibasaki fullname: Shibasaki, Masaki – sequence: 9 givenname: Sayaka surname: Katagiri fullname: Katagiri, Sayaka – sequence: 10 givenname: Shohei surname: Kasugai fullname: Kasugai, Shohei – sequence: 11 givenname: Takanori surname: Iwata fullname: Iwata, Takanori |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33425781$$D View this record in MEDLINE/PubMed |
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| Copyright | Copyright © 2020 Komatsu, Shiba, Takeuchi, Watanabe, Koyanagi, Nemoto, Shimogishi, Shibasaki, Katagiri, Kasugai and Iwata. Copyright © 2020 Komatsu, Shiba, Takeuchi, Watanabe, Koyanagi, Nemoto, Shimogishi, Shibasaki, Katagiri, Kasugai and Iwata 2020 Komatsu, Shiba, Takeuchi, Watanabe, Koyanagi, Nemoto, Shimogishi, Shibasaki, Katagiri, Kasugai and Iwata |
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| Keywords | metatranscriptome oral microbiome metagenome peri-implantitis periodontitis dysbiosis |
| Language | English |
| License | Copyright © 2020 Komatsu, Shiba, Takeuchi, Watanabe, Koyanagi, Nemoto, Shimogishi, Shibasaki, Katagiri, Kasugai and Iwata. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Carina Maciel Silva-Boghossian, Federal University of Rio de Janeiro, Brazil; Oleh Andrukhov, University Dental Clinic Vienna, Austria This article was submitted to Microbiome in Health and Disease, a section of the journal Frontiers in Cellular and Infection Microbiology Edited by: Georgios N. Belibasakis, Karolinska Institutet (KI), Sweden |
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| Title | Discriminating Microbial Community Structure Between Peri-Implantitis and Periodontitis With Integrated Metagenomic, Metatranscriptomic, and Network Analysis |
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