Impact of dietary inflammatory index on gingival health.

BACKGROUND: Periodontal disease is a biofilm-dependent chronic inflammatory condition triggered by a host response. Several factors impact systemic inflammation and could lead to changes in disease pathogenesis. Recently, studies have assessed the influence of nutritional patterns on the development of periodontitis. In the present cross-sectional study, we evaluated the dietary inflammatory profile on periodontal conditions, focusing on clinical, subgingival microbial, and cytokine assessment of individuals with periodontal health or gingivitis. METHODS: One hundred patients with periodontal health or gingivitis were included. Plaque index (PI), Bleeding on probing (BoP), the probing depth (PD), and the clinical attachment level (CAL) for each patient were assessed. Nutritional data and the Dietary Inflammatory Index (DII) were recorded by two 24-h food recalls on non-consecutive days. Biofilm and gingival crevicular fluid (GCF) to assess the microbiome profile and inflammatory biomarkers were collected. Multiple regressions focused on the DII, age, and sex as predictors of periodontal conditions were done. RESULTS: Age and moderate DII scores increased the risk of gingivitis by 1.64 and 3.94 times, respectively. Males with an elevated DII score had 27.15 times higher odds of being diagnosed with gingivitis and BoP (ß = 6.54; p = 0.03). Elderly patients with a moderate or high DII score were less prone to gingivitis and increased BoP (p < 0.04) compared with younger subjects. Considering the DII, there were no differences in microbial alpha and beta diversity; however, distinct species abundance and a higher concentration of monocyte-chemoattractant protein-1 and interleukin 33 were seen in patients with a higher DII. CONCLUSION: A pro-inflammatory diet significantly contributes to periodontal inflammation, modulating inflammatory biomarkers and affecting the subgingival microbial community in healthy individuals.

Dietary Inflammatory Index and clinical course of multiple sclerosis.

OBJECTIVES: This study aims at analyzing the association between the Dietary Inflammatory Index (DII) and the clinical condition of multiple sclerosis (MS) patients. METHODS: It is a quantitative, cross-sectional analytical study that included 137 MS patients assisted at a reference center for MS treatment in the Brazilian northeast. Data was collated through a structured questionnaire and medical records consultation, also involving demographic, clinical, and nutritional variables. Clinical variables included the MS type, diagnosis and follow-up start dates, investigation of recent urinary tract symptoms, use of immunomodulatory, vitamin D supplementation, number of recent pulse therapies, relapse rate in the last 2 years, muscular strength assessment (MRC), disability degree (EDSS), and a gadolinium-enhanced magnetic resonance imaging (MRI) scan in the central white matter (CWM). The DII was calculated according to the Shivappa et al. methodology. RESULTS: There was no difference in any of the variables according to the DII (p > 0.05). CONCLUSIONS: The Dietary Inflammatory Index did not affect the clinical condition of individuals with multiple sclerosis.

Interactions between dietary inflammatory index, nutritional state and Multiple Sclerosis clinical condition.

BACKGROUND & AIMS: The Dietary Inflammatory Index (DII) consists of a tool that assesses dietary inflammatory potential based on the assignment of an inflammatory score to a variety of nutrients, seasonings and bioactive compounds. Pro-inflammatory diets are associated to weight and abdominal fat excess. High Body Mass Index (BMI) and Waist Circumference (WC) seem to contribute to a worse prognosis in Multiple Sclerosis (MS) patients. Therefore, this study seeks to investigate the relation between anthropometric indexes and body adiposity with the clinical condition and the Dietary Inflammatory Index of MS individuals. METHODS: This is a cross-sectional, analytical study that included 137 MS patients residing in the Brazilian northeast. Through a structured questionnaire and medical records consultation, we collected data on demographics, nutritional state, arterial pressure, clinical and dietary variables. Clinical variables included the MS type, number of pulse therapies and attack rate in the last two years, number of days of most recent pulse therapy and muscular strength assessment scores (MRC) and most recent disability level (EDSS). The nutritional state was evaluated based on BMI, WC, waist-hip ratio (WHR), Body Roundness Index (BRI), Body Shape z score Index (ABSIz) and body fat percentage (%BF). The DII was calculated according to a validated methodology. RESULTS: The ABSIz presented a positive correlation with regards to the EDSS score (r = 0.294. p = 0.001). WC and WHR presented a negative correlation in relation to the number of pulse therapy days (r = -0.255. p = 0.022 and r = -0.251. p = 0.024). BMI and %BF were not correlated to clinical variables (p > 0.05). The DII was positively correlated to the BMI in people with progressive MS (r = 0.556. p = 0.025). CONCLUSIONS: The DII may interfere in the nutritional state of MS patients and the nutritional state may affect disability levels but it is necessary to establish which nutritional indicator can better predict the relation between DII and the clinical condition of MS patients.