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A fat-related metabolic age score to track how lifestyle and diet affect risk of metabolic diseases

Updated

Abstract

The environmentally adjusted metabolic age score (EAmAge) was derived from a cohort of 10,339 individuals.

  • EAmAge isolates intrinsic ageing biology relevant to neurodegeneration and chronic disease by statistically removing major environmental influences.
  • Validation of EAmAge was conducted across three independent cohorts totaling 9,835 individuals.
  • Stronger and more consistent associations were observed between EAmAge and incident Alzheimer's disease-related dementia, cardiovascular events, and all-cause mortality compared to an unadjusted lipidomic age model.
  • EAmAge was linked to Alzheimer's disease-related biomarkers, including amyloid burden, reduced glucose metabolism, and hippocampal atrophy.
  • This biomarker may improve risk stratification by disentangling intrinsic metabolic ageing from environmental confounding.

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Funding

Competing interests

Competing interests The mAge score is included in a provisional patent, Application number 2023900769 (Methods of assessing metabolic health) and has been licenced to Trajan Scientific and Medical. Dr. Kaddurah-Daouk is an inventor on a series of patents on use of metabolomics for the diagnosis and treatment of CNS diseases and holds equity in Metabolon Inc., Chymia, and Metabosensor. Gabi Kastenm ller declares equity in Chymia LLC and EMBL-EBI, is the inventor on patents, Philippine Genome Center/Davao Medical School, DAAD/DWIH, and BMBF. Andrew Saykin has received gifts/services from Avid Radiopharmaceuticals, has editorial involvement with Springer-Nature Publishing, and has served on scientific advisory boards for Eisai, Novo Nordisk, and Siemens. Paul Lacaze is supported by a National Heart Foundation of Australia Future Leader Fellowship. Matthias Arnold is a co-inventor on patents, and owns equity in Chymia LLC, which had no role in this work. Other authors have declared that no conflict of interest exists.
PubMed

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