Spatial patterns of dental disease in patients with low salivary flow
Proctor, D. M.; Seiler, C.; Burns, A. R. R.; Walker, S.; Jung, T.; Weng, J.; Sastiel, S.; Rajendran, Y.; Kapila, Y.; Millman, M. E.; Armitage, G. C.; Loomer, P. M.; Holmes, S. P.; Ryder, M. I.; Relman, D. A.
Show abstract
Low salivary flow, or hyposalivation, is associated with an increased incidence of dental caries and a shift in their location from biting surfaces towards coronal and root surfaces. However, the relationship between salivary flow and periodontal disease is less clear. To identify clinical indicators of low salivary flow -- including the spatial pattern of dental and periodontal disease, features of the supra- and subgingival microbiota, and symptoms of dry mouth -- we enrolled individuals into two cohorts. The low flow cohort (N = 32) consisted of individuals with a presumptive diagnosis of the autoimmune disorder Sjogrens Syndrome (SS) while the control cohort (N = 119) consisted of healthy controls. We constructed a series of tooth-specific linear models to quantify the extent to which patient cohort, age, and unstimulated whole salivary flow rate (UWS-FR), independent of each other, are associated with dental and periodontal disease at each tooth. While age and a diagnosis of SS correlated with the site-specific increment of disease so too did UWS-FR. Not only were lower UWS-FRs associated with a greater number of decayed, missing, or filled surfaces at 21 teeth, but they were also associated with increased recession, as measured by clinical attachment loss (CAL), at 10 teeth (adjusted p < 0.05). In addition, we examined microbiota community structure at different tooth sites using data from 427 subgingival and supragingival samples of 6 individuals and found that microbial dispersal is reduced in patients with low salivary flow, but only at supragingival and not at subgingival sites. Finally, we found that complaints by subjects of a negative impact on overall quality of life were associated with a UWS-FR less than 0.1 mL/min. Overall, our results suggest that novel predictors of hyposalivation can be identified by integrating clinical, microbial, and patient history data.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Defining human mesenchymal and epithelial heterogeneity in response to oral inflammatory disease 94%
- Mapping the Spatial Dynamics of the Human Oral Mucosa in Chronic Inflammatory Disease 93%
- Association between genetically predicted circulating immune cells on periodontitis highlights the prospect of systemic immunomodulation management in periodontal care: a Mendelian randomization study 93%
Similar papers in this journal
Similar papers in this journal
- Multi-way modelling of oral microbial dynamics and host-microbiome interactions during induced gingivitis 91%
- Impact of the RaS-RiPP tryglysin and culturing conditions on ex-vivo oral microbiomes. 91%
- Integrative microbiome- and metatranscriptome-based analyses reveal diagnostic biomarkers for peri-implantitis 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.