Objectives: To profile and compare the subgingival microbiome of RA patients with OA controls.
Methods: RA (n = 260) and OA (n = 296) patients underwent full-mouth examination and subgingival samples were collected. Bacterial DNA was profiled using 16 S rRNA Illumina sequencing. Following data filtering and normalization, hierarchical clustering analysis was used to group samples. Multivariable regression was used to examine associations of patient factors with membership in the two largest clusters. Differential abundance between RA and OA was examined using voom method and linear modelling with empirical Bayes moderation (Linear Models for Microarray Analysis, limma), accounting for the effects of periodontitis, race, marital status and smoking.
Results: Alpha diversity indices were similar in RA and OA after accounting for periodontitis. After filtering, 286 taxa were available for analysis. Samples grouped into one of seven clusters with membership sizes of 324, 223, 3, 2, 2, 1 and 1 patients, respectively. RA-OA status was not associated with cluster membership. Factors associated with cluster 1 (vs 2) membership included periodontitis, smoking, marital status and Caucasian race. Accounting for periodontitis, 10 taxa (3.5% of those examined) were in lower abundance in RA than OA. There were no associations between lower abundance taxa or other select taxa examined with RA autoantibody concentrations.
Conclusion: Leveraging data from a large case-control study and accounting for multiple factors known to influence oral health status, results from this study failed to identify a subgingival microbial fingerprint that could reliably discriminate RA from OA patients.
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http://dx.doi.org/10.1093/rheumatology/key052 | DOI Listing |
Oral Dis
December 2024
Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, PR China.
Objective: This study aimed to analyze the subgingival and salivary microbiome and metabolome in diabetic periodontitis patients with varying glycemic levels.
Methods: Forty-two diabetic periodontitis patients were sampled of saliva, gingival crevicular fluid (GCF), and blood, and categorized into three groups based on systemic glycemic status. The microbiome was assessed using full-length 16S rRNA gene sequencing.
Clin Oral Investig
December 2024
Department of Periodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, China.
Objective: To characterize the subgingival microbiota in subjects with stage I/II periodontitis (moderate periodontitis, MP), stage III/IV periodontitis (severe periodontitis, SP), and periodontal health (PH) at the same probing depth (PD) (shallow ≤ 3 mm, moderate 4-6 mm, or deep ≥ 7 mm), and to investigate the changes associated with probing depth progression.
Materials And Methods: 100 subgingival plaque samples were collected from 50 subjects (16 MP, 17 SP and 17 PH), forming six groups: PHS (PH, shallow), MPS (MP, shallow), MPM (MP, moderate), SPS (SP, shallow), SPM (SP, moderate), and SPD (SP, deep). Samples were analyzed using high-throughput sequencing.
Int J Rheum Dis
November 2024
Department of Restorative Dentistry, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, Malaysia.
Periodontitis (PD) is characterized by the host's inflammatory responses to microbial dental biofilm dysbiosis, potentially resulting in tooth loss if left untreated. Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease leading to synovial inflammation and destruction of joint cartilage and bone. The suggested association between PD and RA is based on the potential of chronic inflammation present in periodontitis, which could induce alterations in proteins through post-translational modifications, leading to the formation of citrullinated and carbamylated protein antigens.
View Article and Find Full Text PDFBMC Oral Health
November 2024
Department of Stomatology, the First Affiliated Hospital of Nanjing Medical University, No.300 Guangzhou Road, Nanjing, 210029, Jiangsu, China.
Background: Existing studies predominantly focused on the relationship between periodontitis and type 2 diabetes mellitus (T2DM), with limited data on the association between periodontitis and type 1 diabetes mellitus (T1DM). This study aimed to examine the impact of T1DM and periodontitis on the subgingival microbiome and levels of advanced glycation end-products (AGEs).
Methods: Samples were collected from four groups: T1DM, periodontitis (P), T1DM with periodontitis (DP), and periodontally and systemically healthy controls (Control).
Infect Drug Resist
October 2024
Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, Gansu, 730030, People's Republic of China.
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