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Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Periodontal Disease Augments Cardiovascular Disease Risk Biomarkers in Rheumatoid Arthritis
Jeneen Panezai1,2,3, Ambereen Ghaffar4, Mohammad Altamash5
1Section of Oral Health and Periodontology, Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, 14104 Huddinge, Sweden.
Insights
Periodontal disease significantly increases cardiovascular disease biomarkers in rheumatoid arthritis patients. This occurs through shared inflammatory pathways, impacting metabolic and skeletal health, regardless of autoimmune status.
Area of Science:
- Immunology
- Cardiovascular Medicine
- Periodontology
- Proteomics
Background:
- Periodontal disease (PD) and rheumatoid arthritis (RA) are chronic inflammatory conditions associated with osteolysis.
- Cardiovascular diseases (CVD) are common comorbidities linked to the sustained inflammation in PD and RA.
- Identifying molecular alterations is crucial for assessing CVD risk in these patients.
Purpose of the Study:
- To investigate the relationship of CVD-associated biomarkers in RA patients.
- To determine how periodontal disease influences these CVD biomarkers in RA.
Main Methods:
- Proteomic analysis of 92 CVD-related protein biomarkers using a multiplex proximity extension assay.
- Patient groups included RA with PD, RA without PD, PD only, and healthy controls.
- Protein-protein interaction (PPI) networks were analyzed using STRING.
Main Results:
- RA patients with PD exhibited higher levels of 47% of measured CVD-related protein biomarkers compared to RA without PD.
- A significant protein-protein interaction network was identified among these biomarkers.
- Protein clusters related to CVD, metabolic, and skeletal diseases showed the strongest interactions in the PD group.
Conclusions:
- Periodontal disease exacerbates CVD-related biomarkers in RA patients via shared pathological pathways.
- PD enhances protein interactions in metabolic and skeletal disease clusters, independent of autoimmune status.
- These findings highlight the interconnectedness of PD, RA, and CVD at a molecular level.
Abstract:
Objectives: Periodontal disease (PD) and rheumatoid arthritis (RA) are known chronic conditions with sustained inflammation leading to osteolysis. Cardiovascular diseases (CVD) are frequent comorbidities that may arise from sustained inflammation associated with both PD and RA. In order to determine CVD risk, alterations at the molecular level need to be identified. The objective of this study, therefore, was to assess the relationship of CVD associated biomarkers in RA patients and how it is influenced by PD. Methods: The study consisted of patient (26 RA with PD, 21 RA without PD, 51 patients with PD only) and systemically and periodontally healthy control (n = 20) groups. Periodontal parameters bleeding on probing, probing pocket depth, and marginal bone loss were determined to characterize the patient groups. Proteomic analysis of 92 CVD-related protein biomarkers was performed using a multiplex proximity extension assay. Biomarkers were clustered using the search tool for retrieval of interacting genes (STRING) to determine protein−protein interaction (PPI) networks. Results: RA patients with PD had higher detection levels for 47% of the measured markers (ANGPT1, BOC, CCL17, CCL3, CD4, CD84, CTRC, FGF-21, FGF-23, GLO1, HAOX1, HB-EGF, hOSCAR, HSP 27, IL16, IL-17D, IL18, IL-27, IL6, LEP, LPL, MERTK, MMP12, MMP7, NEMO, PAPPA, PAR-1, PARP-1, PD-L2, PGF, PIgR, PRELP, RAGE, SCF, SLAMF7, SRC, THBS2, THPO, TNFRSF13B, TRAIL-R2, VEGFD, VSIG2, and XCL1) as compared to RA without PD. Furthermore, a strong biological network was identified amongst these proteins (clustering coefficient = 0.52, PPI enrichment p-value < 0.0001). Coefficients for protein clusters involved in CVD (0.59), metabolic (0.53), and skeletal (0.51) diseases were strongest in the PD group. Conclusion: Periodontal disease augments CVD-related biomarkers in RA through shared pathological clusters, concurrently enhancing metabolic and skeletal disease protein interactions, independent of autoimmune status.
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