The performance of the Energy-adjusted Dietary Inflammatory Index, the Empirical Dietary Inflammatory Pattern adapted to the São Paulo population and the Global Diet Quality Score to predict concentrations of plasma inflammatory biomarkers

• Grant number: 24/10729-2
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: February 01, 2025
• End date: October 31, 2025
• Field of knowledge: Health Sciences - Nutrition - Nutritional Analysis of Population
• Principal Investigator: Marcelo Macedo Rogero
• Grantee: Letícia do Nascimento Maximiano Ferreira
• Supervisor: Edward Giovannucci
• Host Institution: Faculdade de Saúde Pública (FSP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Institution abroad: Harvard University, Cambridge, United States
• Associated to the scholarship: 22/09577-8 - Common mental disorders and their relationship with dietary patterns, plasma microRNA expression and intestinal permeability and inflammatory biomarkers in adults and older adults participants in the ISA Capital study, BP.DR

Abstract

Introduction: Evidence indicates that dietary patterns are associated with the concentration of inflammatory biomarkers. Inflammatory dietary indexes and dietary quality indexes are commonly applied to investigate the inflammatory potential of diets. However, there is no consensus about which approach could be more effective in predicting concentrations of plasma inflammatory biomarkers. Objective: To compare the performance of the Energy-adjusted Dietary Inflammatory Index (E-DII), the Empirical Dietary Inflammatory Pattern adapted to the São Paulo population (EDIP-SP), and the Global Diet Quality Score (GDQS) to predict concentrations of plasma inflammatory biomarkers. Methods: This cross-sectional study will be performed with 575 participants from the 2015 Health Survey of São Paulo with a Focus on Nutrition Study (2015 ISA-Nutrition). Dietary data will be assessed through two non-consecutive 24-hour dietary recalls to calculate the E-DII, EDIP-SP, and GDQS. Plasma concentrations of 12 inflammatory biomarkers will be determined: IL-1beta, IL-6, IL-10, TNF-alpha, PAI-1, MCP-1, sVCAM-1, sVCAM-1, ICAM-1, CRP, leptin and adiponectin. Multivariable-adjusted linear regression analyses will be used to compare the performance of the dietary indexes to predict inflammation. The analyses will be performed using Stata software, version 14, with a significance level of 0.05.