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. 1. Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo - SUNY, Buffalo, New York, USA. 2. Department of Ophthalmology, School of Medicine, University of Michigan, Ann Arbor, Michigan, USA. 3. Department of Biochemistry, School of Medicine, University at Buffalo - SUNY, Buffalo, New York, USA. 4. Department of Computer Science and Engineering, University at Buffalo - SUNY, Buffalo, New York, USA. 5. Department of Bioinformatics, University of South Florida, Tampa, Florida, USA. 6. Department of Oral Biology, School of Dental Medicine, University at Buffalo - SUNY, Buffalo, New York, USA.
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.
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.
Authors: R Patini; E Staderini; C Lajolo; L Lopetuso; H Mohammed; L Rimondini; V Rocchetti; F Franceschi; M Cordaro; P Gallenzi Journal: Eur Rev Med Pharmacol Sci Date: 2018-09 Impact factor: 3.507
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
Authors: Tamara Dubowitz; Madhumita Ghosh-Dastidar; Christine Eibner; Mary E Slaughter; Meenakshi Fernandes; Eric A Whitsel; Chloe E Bird; Adria Jewell; Karen L Margolis; Wenjun Li; Yvonne L Michael; Regina A Shih; Joann E Manson; José J Escarce Journal: Obesity (Silver Spring) Date: 2011-06-09 Impact factor: 5.002
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