ArticleFrontiers in cellular and infection microbiology2022
Association of general health and lifestyle factors with the salivary microbiota - Lessons learned from the ADDITION-PRO cohort.
Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Oral and gut microbiota in gingivitis subtypes: a causal inference study using Mendelian randomization.BMC oral health · 2025Article
- Salivary proteomics and metaproteomics identifies distinct molecular and taxonomic signatures of type-2 diabetes.Microbiome · 2025Article
- Oral Pathogens' Substantial Burden on Cancer, Cardiovascular Diseases, Alzheimer's, Diabetes, and Other Systemic Diseases: A Public Health Crisis-A Comprehensive Review.Pathogens (Basel, Switzerland) · 2024Review
- Genome-wide association study identifies host genetic variants influencing oral microbiota diversity and metabolic health.Scientific reports · 2024Article
- Effect of different forms of tobacco on the oral microbiome in healthy adults: a systematic review.Frontiers in oral health · 2024Review
- Smoking and salivary microbiota: a cross-sectional analysis of an Italian alpine population.Scientific reports · 2023Article
- Unexpected lower level of oral periodontal pathogens in patients with high numbers of systemic diseases.PeerJ · 2023Article
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 Conclusions: Glycemic status, HbA
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