Background: Precision nutrition is based on the integration of individual´s phenotypical and biological characteristics including genetic variants, epigenetic marks, gut microbiota profiles and metabolites fingerprints as well as medical history, lifestyle practices, and environmental and cultural factors. Thus, nutriomics areas including Nutrigenomics, Nutrigenetics, Nutriepigenetics, Nutrimetabolomics, and Nutrimetagenomics have emerged to comprehensively understand the complex interactions between nutrients, diet, and the human body's molecular processes through precision nutrition.
Summary: This document from the Ibero-American Network of Nutriomics and Precision Nutrition (RINN22; https://rinn22.
Classifying individuals based on metabotypes and lifestyle phenotypes using exploratory factor analyses, cluster definition, and machine-learning algorithms is promising for precision chronic disease prevention and management. This study analyzed data from the NUTRiMDEA online cohort (baseline: n = 17332 and 62 questions) to develop a clustering tool based on 32 accessible questions using machine-learning strategies. Participants ranged from 18 to over 70 years old, with 64.
View Article and Find Full Text PDFEffective antitumor T cell activity relies on the expression and MHC presentation of tumor neoantigens. Tumor cells can evade T cell detection by silencing the transcription of antigens or by altering MHC machinery, resulting in inadequate neoantigen-specific T cell activation. We identified the DNA-protein kinase inhibitor (DNA-PKi) NU7441 as a promising immunomodulator that reduced immunosuppressive proteins, while increasing MHC-I expression in a panel of human melanoma cell lines.
View Article and Find Full Text PDFBackground: Robust collateral circulation has been linked with better reperfusion and clinical outcomes. It remains unclear how individual assessments of collateral circulation may be translated into clinical practice.
Methods: The pooled Highly Effective Reperfusion Evaluated in Multiple Endovascular Stroke Trials (HERMES) angiography dataset was analyzed by a centralized, independent imaging core blinded to other clinical data.