A Data-Driven Methodology and Workflow Process Leveraging Research Electronic Data Capture (REDCap) to Coordinate and Accelerate the Implementation of Personalized Microbiome-Based Nutrition Approaches in Clinical Research
摘要
In the rapidly evolving field of precision medicine, personalized nutrition is taking over as well. As individuals respond differently to diet, personalized nutrition engages the idea of going from delivering lifestyle and nutritional recommendations from the population to the individual level, allowing thus a better adherence to the diet, an achievement of nutritional goals, and an effective behavior change. The main factor contributing to the development of personalized nutrition in healthcare is the increase in the availability of large patient data that offers the opportunity to explore and investigate the relationship between various patient features, going from integrating simple data host to metagenomics data. Therefore, using microbiome data as a component of personalized nutrition can be substantial given the close relationship of the gut microbiome with nutrition and the host's health. However, shifting recommendations from the population to the individual level requires a robust data collection and management strategy. In this paper, we aim to describe the methodology and workflow process that uses Research Electronic Data Capture (REDCap) to facilitate the implementation of personalized microbiome-based nutrition approaches in clinical research.