Evaluation of the Effects of Levodopa-Benserazide Drug Combination on Periodontal Status in Patients With Parkinson's Disease

Overview

The aim of this study is to evaluate the effects of Levodopa-Benserazide drug combination on periodontal status and salivary cytokine levels in patients with Parkinson's disease. The study includes four groups: Parkinson's patients with periodontitis, periodontally healthy Parkinson's patients, participants without Parkinson's with periodontitis, and periodontally healthy participants without Parkinson's. Clinical periodontal parameters (Plaque Index, Gingival Index, Bleeding on Probing, Pocket Depth, and Clinical Attachment Loss) will be recorded. Unstimulated saliva samples will be collected to analyze the levels of TNF-alpha, RANTES, IL-10, IL-13, Total Oxidant Status (TOS), Total Antioxidant Status (TAS), and Malondialdehyde (MDA).

Background and Rationale: Parkinson's Disease (PD) is a progressive neurodegenerative disorder characterized by the degeneration of dopaminergic neurons in the substantia nigra. Chronic inflammation and oxidative stress are considered significant factors in the progression of PD. Levodopa (L-DOPA), combined with Benserazide, remains the most effective pharmacological treatment for managing PD symptoms. Periodontitis is a chronic inflammatory disease that leads to the destruction of tooth-supporting tissues and is associated with elevated levels of local and systemic inflammatory cytokines such as TNF-alpha, IL-10, IL-13, and RANTES. Recent studies suggest a bidirectional relationship between systemic inflammation and neurodegenerative diseases. This study aims to evaluate the effects of the Levodopa-Benserazide drug combination on periodontal status and salivary inflammatory cytokine levels in patients with Parkinson's Disease. Study Design and Setting: This cross-sectional, case-control study will be conducted in collaboration with the Department of Periodontology at the University of Health Sciences, Gulhane Faculty of Dentistry, and the Department of Neurology at Hacettepe University Faculty of Medicine. Participants and Groups: The study will include a total of 136 participants divided into four groups (n=34 per group): Parkinson's patients with periodontitis Periodontally healthy Parkinson's patients Systemically healthy participants with periodontitis (Control) Systemically and periodontally healthy participants (Control) Diagnosis of Parkinson's Disease will be confirmed based on the United Kingdom Parkinson's Disease Society Brain Bank Criteria. Exclusion Criteria: Participants will be excluded if they have active smoking habits, diabetes mellitus, history of antibiotic or anti-inflammatory drug use in the last 3 months, periodontal treatment in the last month, use of probiotics or oral antiseptics in the last month, history of radiotherapy/chemotherapy in the last 6 months, presence of fewer than 16 natural teeth, use of removable partial or complete dentures, or inability to give informed consent due to dementia or other cognitive impairments. Clinical Evaluations: All participants will undergo a comprehensive periodontal examination. Clinical parameters including Plaque Index (PI) (Silness-Löe), Gingival Index (GI) (Löe-Silness), Bleeding on Probing (BOP), Pocket Depth (PD), and Clinical Attachment Loss (CAL) will be recorded using a Williams periodontal probe. Measurements for PD, CAL, and BOP will be taken at six sites per tooth, while PI and GI will be recorded at four sites per tooth. Biochemical Analysis: Unstimulated whole saliva samples will be collected from all participants between 09:00 and 10:00 AM to minimize circadian rhythm variations. Participants will be asked to refrain from eating, drinking, or oral hygiene procedures for at least one hour prior to collection. Samples will be stored at -80°C until analysis. Inflammatory cytokines (TNF-alpha, RANTES, IL-10, IL-13) will be analyzed using Enzyme-Linked Immunosorbent Assay (ELISA). Oxidative stress markers, including Total Oxidant Status (TOS), Total Antioxidant Status (TAS), and Malondialdehyde (MDA), will be measured using spectrophotometric methods. Statistical Analysis: Data distribution will be assessed using the Kolmogorov-Smirnov test. Differences between groups will be analyzed using ANOVA (for normally distributed data) or appropriate non-parametric tests. Categorical variables will be compared using the Chi-square test. A p-value of \<0.05 will be considered statistically significant.