Comprehensive Analysis of Risk Factors for Periodontitis Focusing on the Saliva Microbiome and Polymorphism
Few studies have exhaustively assessed relationships among polymorphisms, the microbiome, and periodontitis. The objective of the present study was to assess associations simultaneously among polymorphisms, the microbiome, and periodontitis. We used propensity score matching with a 1:1 ratio to sele...
Ausführliche Beschreibung
Autor*in: |
Naoki Toyama [verfasserIn] Daisuke Ekuni [verfasserIn] Daisuke Matsui [verfasserIn] Teruhide Koyama [verfasserIn] Masahiro Nakatochi [verfasserIn] Yukihide Momozawa [verfasserIn] Michiaki Kubo [verfasserIn] Manabu Morita [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: International Journal of Environmental Research and Public Health - MDPI AG, 2005, 18(2021), 6430, p 6430 |
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Übergeordnetes Werk: |
volume:18 ; year:2021 ; number:6430, p 6430 |
Links: |
Link aufrufen |
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DOI / URN: |
10.3390/ijerph18126430 |
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Katalog-ID: |
DOAJ051113759 |
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10.3390/ijerph18126430 doi (DE-627)DOAJ051113759 (DE-599)DOAJb902d3bf47834481b8f1b0536bc4d7fc DE-627 ger DE-627 rakwb eng Naoki Toyama verfasserin aut Comprehensive Analysis of Risk Factors for Periodontitis Focusing on the Saliva Microbiome and Polymorphism 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Few studies have exhaustively assessed relationships among polymorphisms, the microbiome, and periodontitis. The objective of the present study was to assess associations simultaneously among polymorphisms, the microbiome, and periodontitis. We used propensity score matching with a 1:1 ratio to select subjects, and then 22 individuals (mean age ± standard deviation, 60.7 ± 9.9 years) were analyzed. After saliva collection, V3-4 regions of the 16S rRNA gene were sequenced to investigate microbiome composition, alpha diversity (Shannon index, Simpson index, Chao1, and abundance-based coverage estimator) and beta diversity using principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac distances. A total of 51 single-nucleotide polymorphisms (SNPs) related to periodontitis were identified. The frequencies of SNPs were collected from Genome-Wide Association Study data. The PCoA of unweighted UniFrac distance showed a significant difference between periodontitis and control groups (<i<p</i< < 0.05). There were no significant differences in alpha diversity and PCoA of weighted UniFrac distance (<i<p</i< < 0.05). Two families (Lactobacillaceae and Desulfobulbaceae) and one species (<i<Porphyromonas gingivalis</i<) were observed only in the periodontitis group. No SNPs showed significant expression. These results suggest that periodontitis was related to the presence of <i<P. gingivalis</i< and the families Lactobacillaceae and Desulfobulbaceae but not SNPs. periodontitis microbiota single-nucleotide polymorphisms Medicine R Daisuke Ekuni verfasserin aut Daisuke Matsui verfasserin aut Teruhide Koyama verfasserin aut Masahiro Nakatochi verfasserin aut Yukihide Momozawa verfasserin aut Michiaki Kubo verfasserin aut Manabu Morita verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 6430, p 6430 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:6430, p 6430 https://doi.org/10.3390/ijerph18126430 kostenfrei https://doaj.org/article/b902d3bf47834481b8f1b0536bc4d7fc kostenfrei https://www.mdpi.com/1660-4601/18/12/6430 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2021 6430, p 6430 |
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10.3390/ijerph18126430 doi (DE-627)DOAJ051113759 (DE-599)DOAJb902d3bf47834481b8f1b0536bc4d7fc DE-627 ger DE-627 rakwb eng Naoki Toyama verfasserin aut Comprehensive Analysis of Risk Factors for Periodontitis Focusing on the Saliva Microbiome and Polymorphism 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Few studies have exhaustively assessed relationships among polymorphisms, the microbiome, and periodontitis. The objective of the present study was to assess associations simultaneously among polymorphisms, the microbiome, and periodontitis. We used propensity score matching with a 1:1 ratio to select subjects, and then 22 individuals (mean age ± standard deviation, 60.7 ± 9.9 years) were analyzed. After saliva collection, V3-4 regions of the 16S rRNA gene were sequenced to investigate microbiome composition, alpha diversity (Shannon index, Simpson index, Chao1, and abundance-based coverage estimator) and beta diversity using principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac distances. A total of 51 single-nucleotide polymorphisms (SNPs) related to periodontitis were identified. The frequencies of SNPs were collected from Genome-Wide Association Study data. The PCoA of unweighted UniFrac distance showed a significant difference between periodontitis and control groups (<i<p</i< < 0.05). There were no significant differences in alpha diversity and PCoA of weighted UniFrac distance (<i<p</i< < 0.05). Two families (Lactobacillaceae and Desulfobulbaceae) and one species (<i<Porphyromonas gingivalis</i<) were observed only in the periodontitis group. No SNPs showed significant expression. These results suggest that periodontitis was related to the presence of <i<P. gingivalis</i< and the families Lactobacillaceae and Desulfobulbaceae but not SNPs. periodontitis microbiota single-nucleotide polymorphisms Medicine R Daisuke Ekuni verfasserin aut Daisuke Matsui verfasserin aut Teruhide Koyama verfasserin aut Masahiro Nakatochi verfasserin aut Yukihide Momozawa verfasserin aut Michiaki Kubo verfasserin aut Manabu Morita verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 6430, p 6430 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:6430, p 6430 https://doi.org/10.3390/ijerph18126430 kostenfrei https://doaj.org/article/b902d3bf47834481b8f1b0536bc4d7fc kostenfrei https://www.mdpi.com/1660-4601/18/12/6430 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2021 6430, p 6430 |
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10.3390/ijerph18126430 doi (DE-627)DOAJ051113759 (DE-599)DOAJb902d3bf47834481b8f1b0536bc4d7fc DE-627 ger DE-627 rakwb eng Naoki Toyama verfasserin aut Comprehensive Analysis of Risk Factors for Periodontitis Focusing on the Saliva Microbiome and Polymorphism 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Few studies have exhaustively assessed relationships among polymorphisms, the microbiome, and periodontitis. The objective of the present study was to assess associations simultaneously among polymorphisms, the microbiome, and periodontitis. We used propensity score matching with a 1:1 ratio to select subjects, and then 22 individuals (mean age ± standard deviation, 60.7 ± 9.9 years) were analyzed. After saliva collection, V3-4 regions of the 16S rRNA gene were sequenced to investigate microbiome composition, alpha diversity (Shannon index, Simpson index, Chao1, and abundance-based coverage estimator) and beta diversity using principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac distances. A total of 51 single-nucleotide polymorphisms (SNPs) related to periodontitis were identified. The frequencies of SNPs were collected from Genome-Wide Association Study data. The PCoA of unweighted UniFrac distance showed a significant difference between periodontitis and control groups (<i<p</i< < 0.05). There were no significant differences in alpha diversity and PCoA of weighted UniFrac distance (<i<p</i< < 0.05). Two families (Lactobacillaceae and Desulfobulbaceae) and one species (<i<Porphyromonas gingivalis</i<) were observed only in the periodontitis group. No SNPs showed significant expression. These results suggest that periodontitis was related to the presence of <i<P. gingivalis</i< and the families Lactobacillaceae and Desulfobulbaceae but not SNPs. periodontitis microbiota single-nucleotide polymorphisms Medicine R Daisuke Ekuni verfasserin aut Daisuke Matsui verfasserin aut Teruhide Koyama verfasserin aut Masahiro Nakatochi verfasserin aut Yukihide Momozawa verfasserin aut Michiaki Kubo verfasserin aut Manabu Morita verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 6430, p 6430 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:6430, p 6430 https://doi.org/10.3390/ijerph18126430 kostenfrei https://doaj.org/article/b902d3bf47834481b8f1b0536bc4d7fc kostenfrei https://www.mdpi.com/1660-4601/18/12/6430 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2021 6430, p 6430 |
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10.3390/ijerph18126430 doi (DE-627)DOAJ051113759 (DE-599)DOAJb902d3bf47834481b8f1b0536bc4d7fc DE-627 ger DE-627 rakwb eng Naoki Toyama verfasserin aut Comprehensive Analysis of Risk Factors for Periodontitis Focusing on the Saliva Microbiome and Polymorphism 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Few studies have exhaustively assessed relationships among polymorphisms, the microbiome, and periodontitis. The objective of the present study was to assess associations simultaneously among polymorphisms, the microbiome, and periodontitis. We used propensity score matching with a 1:1 ratio to select subjects, and then 22 individuals (mean age ± standard deviation, 60.7 ± 9.9 years) were analyzed. After saliva collection, V3-4 regions of the 16S rRNA gene were sequenced to investigate microbiome composition, alpha diversity (Shannon index, Simpson index, Chao1, and abundance-based coverage estimator) and beta diversity using principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac distances. A total of 51 single-nucleotide polymorphisms (SNPs) related to periodontitis were identified. The frequencies of SNPs were collected from Genome-Wide Association Study data. The PCoA of unweighted UniFrac distance showed a significant difference between periodontitis and control groups (<i<p</i< < 0.05). There were no significant differences in alpha diversity and PCoA of weighted UniFrac distance (<i<p</i< < 0.05). Two families (Lactobacillaceae and Desulfobulbaceae) and one species (<i<Porphyromonas gingivalis</i<) were observed only in the periodontitis group. No SNPs showed significant expression. These results suggest that periodontitis was related to the presence of <i<P. gingivalis</i< and the families Lactobacillaceae and Desulfobulbaceae but not SNPs. periodontitis microbiota single-nucleotide polymorphisms Medicine R Daisuke Ekuni verfasserin aut Daisuke Matsui verfasserin aut Teruhide Koyama verfasserin aut Masahiro Nakatochi verfasserin aut Yukihide Momozawa verfasserin aut Michiaki Kubo verfasserin aut Manabu Morita verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 6430, p 6430 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:6430, p 6430 https://doi.org/10.3390/ijerph18126430 kostenfrei https://doaj.org/article/b902d3bf47834481b8f1b0536bc4d7fc kostenfrei https://www.mdpi.com/1660-4601/18/12/6430 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2021 6430, p 6430 |
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10.3390/ijerph18126430 doi (DE-627)DOAJ051113759 (DE-599)DOAJb902d3bf47834481b8f1b0536bc4d7fc DE-627 ger DE-627 rakwb eng Naoki Toyama verfasserin aut Comprehensive Analysis of Risk Factors for Periodontitis Focusing on the Saliva Microbiome and Polymorphism 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Few studies have exhaustively assessed relationships among polymorphisms, the microbiome, and periodontitis. The objective of the present study was to assess associations simultaneously among polymorphisms, the microbiome, and periodontitis. We used propensity score matching with a 1:1 ratio to select subjects, and then 22 individuals (mean age ± standard deviation, 60.7 ± 9.9 years) were analyzed. After saliva collection, V3-4 regions of the 16S rRNA gene were sequenced to investigate microbiome composition, alpha diversity (Shannon index, Simpson index, Chao1, and abundance-based coverage estimator) and beta diversity using principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac distances. A total of 51 single-nucleotide polymorphisms (SNPs) related to periodontitis were identified. The frequencies of SNPs were collected from Genome-Wide Association Study data. The PCoA of unweighted UniFrac distance showed a significant difference between periodontitis and control groups (<i<p</i< < 0.05). There were no significant differences in alpha diversity and PCoA of weighted UniFrac distance (<i<p</i< < 0.05). Two families (Lactobacillaceae and Desulfobulbaceae) and one species (<i<Porphyromonas gingivalis</i<) were observed only in the periodontitis group. No SNPs showed significant expression. These results suggest that periodontitis was related to the presence of <i<P. gingivalis</i< and the families Lactobacillaceae and Desulfobulbaceae but not SNPs. periodontitis microbiota single-nucleotide polymorphisms Medicine R Daisuke Ekuni verfasserin aut Daisuke Matsui verfasserin aut Teruhide Koyama verfasserin aut Masahiro Nakatochi verfasserin aut Yukihide Momozawa verfasserin aut Michiaki Kubo verfasserin aut Manabu Morita verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 6430, p 6430 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:6430, p 6430 https://doi.org/10.3390/ijerph18126430 kostenfrei https://doaj.org/article/b902d3bf47834481b8f1b0536bc4d7fc kostenfrei https://www.mdpi.com/1660-4601/18/12/6430 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2021 6430, p 6430 |
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Comprehensive Analysis of Risk Factors for Periodontitis Focusing on the Saliva Microbiome and Polymorphism |
abstract |
Few studies have exhaustively assessed relationships among polymorphisms, the microbiome, and periodontitis. The objective of the present study was to assess associations simultaneously among polymorphisms, the microbiome, and periodontitis. We used propensity score matching with a 1:1 ratio to select subjects, and then 22 individuals (mean age ± standard deviation, 60.7 ± 9.9 years) were analyzed. After saliva collection, V3-4 regions of the 16S rRNA gene were sequenced to investigate microbiome composition, alpha diversity (Shannon index, Simpson index, Chao1, and abundance-based coverage estimator) and beta diversity using principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac distances. A total of 51 single-nucleotide polymorphisms (SNPs) related to periodontitis were identified. The frequencies of SNPs were collected from Genome-Wide Association Study data. The PCoA of unweighted UniFrac distance showed a significant difference between periodontitis and control groups (<i<p</i< < 0.05). There were no significant differences in alpha diversity and PCoA of weighted UniFrac distance (<i<p</i< < 0.05). Two families (Lactobacillaceae and Desulfobulbaceae) and one species (<i<Porphyromonas gingivalis</i<) were observed only in the periodontitis group. No SNPs showed significant expression. These results suggest that periodontitis was related to the presence of <i<P. gingivalis</i< and the families Lactobacillaceae and Desulfobulbaceae but not SNPs. |
abstractGer |
Few studies have exhaustively assessed relationships among polymorphisms, the microbiome, and periodontitis. The objective of the present study was to assess associations simultaneously among polymorphisms, the microbiome, and periodontitis. We used propensity score matching with a 1:1 ratio to select subjects, and then 22 individuals (mean age ± standard deviation, 60.7 ± 9.9 years) were analyzed. After saliva collection, V3-4 regions of the 16S rRNA gene were sequenced to investigate microbiome composition, alpha diversity (Shannon index, Simpson index, Chao1, and abundance-based coverage estimator) and beta diversity using principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac distances. A total of 51 single-nucleotide polymorphisms (SNPs) related to periodontitis were identified. The frequencies of SNPs were collected from Genome-Wide Association Study data. The PCoA of unweighted UniFrac distance showed a significant difference between periodontitis and control groups (<i<p</i< < 0.05). There were no significant differences in alpha diversity and PCoA of weighted UniFrac distance (<i<p</i< < 0.05). Two families (Lactobacillaceae and Desulfobulbaceae) and one species (<i<Porphyromonas gingivalis</i<) were observed only in the periodontitis group. No SNPs showed significant expression. These results suggest that periodontitis was related to the presence of <i<P. gingivalis</i< and the families Lactobacillaceae and Desulfobulbaceae but not SNPs. |
abstract_unstemmed |
Few studies have exhaustively assessed relationships among polymorphisms, the microbiome, and periodontitis. The objective of the present study was to assess associations simultaneously among polymorphisms, the microbiome, and periodontitis. We used propensity score matching with a 1:1 ratio to select subjects, and then 22 individuals (mean age ± standard deviation, 60.7 ± 9.9 years) were analyzed. After saliva collection, V3-4 regions of the 16S rRNA gene were sequenced to investigate microbiome composition, alpha diversity (Shannon index, Simpson index, Chao1, and abundance-based coverage estimator) and beta diversity using principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac distances. A total of 51 single-nucleotide polymorphisms (SNPs) related to periodontitis were identified. The frequencies of SNPs were collected from Genome-Wide Association Study data. The PCoA of unweighted UniFrac distance showed a significant difference between periodontitis and control groups (<i<p</i< < 0.05). There were no significant differences in alpha diversity and PCoA of weighted UniFrac distance (<i<p</i< < 0.05). Two families (Lactobacillaceae and Desulfobulbaceae) and one species (<i<Porphyromonas gingivalis</i<) were observed only in the periodontitis group. No SNPs showed significant expression. These results suggest that periodontitis was related to the presence of <i<P. gingivalis</i< and the families Lactobacillaceae and Desulfobulbaceae but not SNPs. |
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The objective of the present study was to assess associations simultaneously among polymorphisms, the microbiome, and periodontitis. We used propensity score matching with a 1:1 ratio to select subjects, and then 22 individuals (mean age ± standard deviation, 60.7 ± 9.9 years) were analyzed. After saliva collection, V3-4 regions of the 16S rRNA gene were sequenced to investigate microbiome composition, alpha diversity (Shannon index, Simpson index, Chao1, and abundance-based coverage estimator) and beta diversity using principal coordinate analysis (PCoA) based on weighted and unweighted UniFrac distances. A total of 51 single-nucleotide polymorphisms (SNPs) related to periodontitis were identified. The frequencies of SNPs were collected from Genome-Wide Association Study data. The PCoA of unweighted UniFrac distance showed a significant difference between periodontitis and control groups (<i<p</i< < 0.05). There were no significant differences in alpha diversity and PCoA of weighted UniFrac distance (<i<p</i< < 0.05). Two families (Lactobacillaceae and Desulfobulbaceae) and one species (<i<Porphyromonas gingivalis</i<) were observed only in the periodontitis group. No SNPs showed significant expression. 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