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Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort

INTRODUCTION: Previous research indicates that the salivary microbiota may be a biomarker of oral as well as systemic disease. However, clarifying the potential bias from general health status and lifestyle-associated factors is a prerequisite of using the salivary microbiota for screening. MATERIAL...

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Autores principales: Poulsen, Casper Sahl, Nygaard, Nikoline, Constancias, Florentin, Stankevic, Evelina, Kern, Timo, Witte, Daniel R., Vistisen, Dorte, Grarup, Niels, Pedersen, Oluf Borbye, Belstrøm, Daniel, Hansen, Torben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709502/
https://www.ncbi.nlm.nih.gov/pubmed/36467723
http://dx.doi.org/10.3389/fcimb.2022.1055117
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author Poulsen, Casper Sahl
Nygaard, Nikoline
Constancias, Florentin
Stankevic, Evelina
Kern, Timo
Witte, Daniel R.
Vistisen, Dorte
Grarup, Niels
Pedersen, Oluf Borbye
Belstrøm, Daniel
Hansen, Torben
author_facet Poulsen, Casper Sahl
Nygaard, Nikoline
Constancias, Florentin
Stankevic, Evelina
Kern, Timo
Witte, Daniel R.
Vistisen, Dorte
Grarup, Niels
Pedersen, Oluf Borbye
Belstrøm, Daniel
Hansen, Torben
author_sort Poulsen, Casper Sahl
collection PubMed
description INTRODUCTION: Previous research indicates that the salivary microbiota may be a biomarker of oral as well as systemic disease. However, clarifying the potential bias from general health status and lifestyle-associated factors is a prerequisite of using the salivary microbiota for screening. MATERIALS & METHODS: ADDDITION-PRO is a nationwide Danish cohort, nested within the Danish arm of the Anglo-Danish-Dutch Study of Intensive treatment in People with Screen-Detected Diabetes in Primary Care. Saliva samples from n=746 individuals from the ADDITION-PRO cohort were characterized using 16s rRNA sequencing. Alpha- and beta diversity as well as relative abundance of genera was examined in relation to general health and lifestyle-associated variables. Permutational multivariate analysis of variance (PERMANOVA) was performed on individual variables and all variables together. Classification models were created using sparse partial-least squares discriminant analysis (sPLSDA) for variables that showed statistically significant differences based on PERMANOVA analysis (p < 0.05). RESULTS: Glycemic status, hemoglobin-A(1c) (HbA(1c)) level, sex, smoking and weekly alcohol intake were found to be significantly associated with salivary microbial composition (individual variables PERMANOVA, p < 0.05). Collectively, these variables were associated with approximately 5.8% of the observed differences in the composition of the salivary microbiota. Smoking status was associated with 3.3% of observed difference, and smoking could be detected with good accuracy based on salivary microbial composition (AUC 0.95, correct classification rate 79.6%). CONCLUSIONS: Glycemic status, HbA(1c) level, sex, smoking and weekly alcohol intake were significantly associated with the composition of the salivary microbiota. Despite smoking only being associated with 3.3% of the difference in overall salivary microbial composition, it was possible to create a model for detection of smoking status with a high correct classification rate. However, the lack of information on the oral health status of participants serves as a limitation in the present study. Further studies in other cohorts are needed to validate the external validity of these findings.
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spelling pubmed-97095022022-12-01 Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort Poulsen, Casper Sahl Nygaard, Nikoline Constancias, Florentin Stankevic, Evelina Kern, Timo Witte, Daniel R. Vistisen, Dorte Grarup, Niels Pedersen, Oluf Borbye Belstrøm, Daniel Hansen, Torben Front Cell Infect Microbiol Cellular and Infection Microbiology INTRODUCTION: Previous research indicates that the salivary microbiota may be a biomarker of oral as well as systemic disease. However, clarifying the potential bias from general health status and lifestyle-associated factors is a prerequisite of using the salivary microbiota for screening. MATERIALS & METHODS: ADDDITION-PRO is a nationwide Danish cohort, nested within the Danish arm of the Anglo-Danish-Dutch Study of Intensive treatment in People with Screen-Detected Diabetes in Primary Care. Saliva samples from n=746 individuals from the ADDITION-PRO cohort were characterized using 16s rRNA sequencing. Alpha- and beta diversity as well as relative abundance of genera was examined in relation to general health and lifestyle-associated variables. Permutational multivariate analysis of variance (PERMANOVA) was performed on individual variables and all variables together. Classification models were created using sparse partial-least squares discriminant analysis (sPLSDA) for variables that showed statistically significant differences based on PERMANOVA analysis (p < 0.05). RESULTS: Glycemic status, hemoglobin-A(1c) (HbA(1c)) level, sex, smoking and weekly alcohol intake were found to be significantly associated with salivary microbial composition (individual variables PERMANOVA, p < 0.05). Collectively, these variables were associated with approximately 5.8% of the observed differences in the composition of the salivary microbiota. Smoking status was associated with 3.3% of observed difference, and smoking could be detected with good accuracy based on salivary microbial composition (AUC 0.95, correct classification rate 79.6%). CONCLUSIONS: Glycemic status, HbA(1c) level, sex, smoking and weekly alcohol intake were significantly associated with the composition of the salivary microbiota. Despite smoking only being associated with 3.3% of the difference in overall salivary microbial composition, it was possible to create a model for detection of smoking status with a high correct classification rate. However, the lack of information on the oral health status of participants serves as a limitation in the present study. Further studies in other cohorts are needed to validate the external validity of these findings. Frontiers Media S.A. 2022-11-16 /pmc/articles/PMC9709502/ /pubmed/36467723 http://dx.doi.org/10.3389/fcimb.2022.1055117 Text en Copyright © 2022 Poulsen, Nygaard, Constancias, Stankevic, Kern, Witte, Vistisen, Grarup, Pedersen, Belstrøm and Hansen https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Cellular and Infection Microbiology
Poulsen, Casper Sahl
Nygaard, Nikoline
Constancias, Florentin
Stankevic, Evelina
Kern, Timo
Witte, Daniel R.
Vistisen, Dorte
Grarup, Niels
Pedersen, Oluf Borbye
Belstrøm, Daniel
Hansen, Torben
Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort
title Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort
title_full Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort
title_fullStr Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort
title_full_unstemmed Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort
title_short Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort
title_sort association of general health and lifestyle factors with the salivary microbiota – lessons learned from the addition-pro cohort
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709502/
https://www.ncbi.nlm.nih.gov/pubmed/36467723
http://dx.doi.org/10.3389/fcimb.2022.1055117
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