Integrating Dietary Patterns, Patient-Reported Outcomes, and Omics to Advance Precision Nutrition in Cardiometabolic Diseases

Cardiometabolic diseases, such as type 2 diabetes, obesity, metabolic dysfunction–associated steatotic liver disease (MASLD), and atherosclerotic cardiovascular disease, present a complex interplay of genetic, environmental, and behavioral factors resulting in diverse disease pathways and outcomes. Recent research has highlighted how identical dietary exposures may lead to varying metabolic consequences and complication risks due to this underlying heterogeneity, particularly within Mediterranean and other diverse populations. Pioneering studies incorporating dietary pattern analysis, patient-reported outcomes (PROs), and multi-omics data, ranging from metabolomics and lipidomics to circulating biomarkers, have enabled more nuanced risk stratification and shed light on mechanisms linking nutrition to cardiometabolic risk. Despite these advances, integration between these disciplines remains limited, and there continues to be a gap in translating multi-dimensional insights into individualized nutritional strategies for disease prevention and management.The goal of this Research Topic is to consolidate and stimulate innovative research that bridges robust dietary assessment, patient-centered endpoints, and molecular phenotyping to inform precision nutrition in cardiometabolic diseases. By prioritizing studies that synthesize evidence from dietary intake and patterns, quality of life measures, and high-resolution omics signatures, this initiative aims to foster translational approaches for early identification of high-risk phenotypes, prediction of responses to nutritional interventions, and tailored diet-based strategies that extend beyond the traditional “one-size-fits-all” paradigm. The ultimate objective is to develop interventions that target biological mechanisms while enhancing outcomes meaningful to patients, including symptom burden, treatment satisfaction, and quality of life.This Research Topic is focused on research within the boundaries of precision nutrition for cardiometabolic diseases, integrating dietary, patient-reported, and omics perspectives, but does not include studies that examine these aspects in isolation or outside the context of cardiometabolic health. To gather further insights in this field, we welcome articles addressing, but not limited to, the following themes:o Dietary patterns and their associations with distinct cardiometabolic phenotypeso The influence of dietary quality and patterns on insulin resistance, dyslipidemia, atherosclerotic risk, MASLD, and diabetic complicationso Incorporating patient-reported outcomes such as quality of life and treatment satisfaction as central endpoints in nutritional researcho Multi-omics approaches: metabolomics, lipidomics, proteomics, and microbiome-derived data to identify and validate biomarkers of risk and responseo Mechanistic investigations of metabolite, lipid, and nutrient pathways connecting diet to cardiometabolic dysfunctiono Predictive and subgrouping models that integrate data from diet, PROs, and omics (including explainable and clinically interpretable machine learning tools)o Harmonization and validation of dietary and omics methodologies in diverse real-world and population-based studieso Implementation science exploring the feasibility and impact of scalable precision nutrition interventionsWe welcome Original Research, Brief Research Reports, Systematic Reviews, Meta-analyses, Methods, Perspectives, and Mini-Reviews, particularly those combining at least two, and preferably all three, of the core pillars of dietary patterns, patient-reported outcomes, and omics. Topic editors: Minerva Granado-Casas, Marina Idalia Rojo-López Source: https://www.frontiersin.org/research-topics/78905/integrating-dietary-patterns-patient-reported-outcomes-and-omics-to-advance-precision-nutrition-in-cardiometabolic-diseases