Literature DB >> 33141988

Subgingival microbiome is associated with alveolar bone loss measured 5 years later in postmenopausal women.

Michael J LaMonte1, Christopher A Andrews2, Kathleen M Hovey1, Michael J Buck3, Lu Li4, Daniel I McSkimming5, Hailey R Banack1, Jane Rotterman1, Yijun Sun4, Keith L Kirkwood6, Jean Wactawski-Wende1.   

Abstract

BACKGROUND: The aim of this study was to quantify the association between subgingival microbiota and periodontal disease progression in older women, for which limited published data exist.
METHODS: A total of 1016 postmenopausal women, aged 53 to 81 years, completed baseline (1997 to 2001) and 5-year (2002 to 2006) dental exams that included probing depth, clinical attachment level, gingival bleeding, and radiographic alveolar crestal height (ACH). Baseline microbiota were measured in subgingival plaque using 16S rRNA sequencing. Associations between 52 microbiota we previously found statistically significantly associated with clinical periodontal disease at baseline, were examined with disease progression. The traditional Socransky microbiota complexes also were evaluated. Side-by-side radiograph comparisons were used to define progression as ≥2 teeth with ≥1 mm ACH loss or ≥1 new tooth loss to periodontitis. The association between baseline centered log(2) ratio transformed microbial relative abundances and 5-year periodontal disease progression was measured with generalized linear models.
RESULTS: Of 36 microbiota we previously showed were elevated in moderate/severe disease at baseline, 24 had statistically significantly higher baseline mean relative abundance in progressing compared with non-progressing women (P < .05, all); which included all Socransky red bacteria (P. gingivalis, T. forsythia, T. denticola). Of 16 microbiota elevated in none/mild disease at baseline, five had statistically significantly lower baseline abundance in non-progressing compared with progressing women (P < 0.05, all), including one Socransky yellow bacteria (S. oralis). When adjusted for baseline age, socioeconomic status, and self-rated general health status, odds ratios for 5-year progression ranged from 1.18 to 1.51 (per 1-standard deviation increment in relative abundance) for microbiota statistically significantly (P < 0.05) positively associated with progression, and from 0.77 to 0.82 for those statistically significantly (P < 0.05) inversely associated with progression. These associations were similar when stratified on baseline levels of pocket depth, gingival bleeding, ACH, and smoking status.
CONCLUSIONS: These prospective results affirm clearly that subgingival microbiota are measurably elevated several years prior to progression of alveolar bone loss, and include antecedent elevations in previously undocumented taxa additional to known Socransky pathogenic complexes.
© 2020 American Academy of Periodontology.

Entities:  

Keywords:  alveolar bone loss; longitudinal study; oral microbiome; periodontal disease; women

Mesh:

Substances:

Year:  2020        PMID: 33141988      PMCID: PMC8089116          DOI: 10.1002/JPER.20-0445

Source DB:  PubMed          Journal:  J Periodontol        ISSN: 0022-3492            Impact factor:   6.993


  42 in total

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Authors:  Richard P Darveau
Journal:  Nat Rev Microbiol       Date:  2010-07       Impact factor: 60.633

Review 2.  Periodontal microbial ecology.

Authors:  Sigmund S Socransky; Anne D Haffajee
Journal:  Periodontol 2000       Date:  2005       Impact factor: 7.589

3.  Relationship between oral microbiota and periodontal disease: a systematic review.

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4.  Update of the case definitions for population-based surveillance of periodontitis.

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Journal:  J Periodontol       Date:  2012-03-16       Impact factor: 6.993

5.  Five-year changes in periodontal disease measures among postmenopausal females: the Buffalo OsteoPerio study.

Authors:  Michael J LaMonte; Kathleen M Hovey; Robert J Genco; Amy E Millen; Maurizio Trevisan; Jean Wactawski-Wende
Journal:  J Periodontol       Date:  2012-07-19       Impact factor: 6.993

6.  Patterns of periodontal disease progression based on linear mixed models of clinical attachment loss.

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9.  The Human Oral Microbiome Database: a web accessible resource for investigating oral microbe taxonomic and genomic information.

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Authors:  Ricardo Teles; Habtamu K Benecha; John S Preisser; Kevin Moss; Jacqueline R Starr; Patricia Corby; Robert Genco; Nathalia Garcia; William V Giannobile; Heather Jared; Gay Torresyap; Elida Salazar; Julie Moya; Cynthia Howard; Robert Schifferle; Karen L Falkner; Jane Gillespie; Debra Dixon; MaryAnn Cugini
Journal:  J Clin Periodontol       Date:  2016-04-06       Impact factor: 8.728

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