Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders

MULTI consortium, Anagnostakis F, Ko S, Saadatinia M, Wang J, Davatzikos C, Wen J. Multi-organ metabolome biological age implicates cardiometabolic conditions and mortality risk

Multi-organ biological aging clocks across different organ systems have been shown to predict human disease and mortality. Here, we extend this multi-organ framework to plasma metabolomics, developing five organ-specific metabolome-based biological age gaps (MetBAGs) using 107 plasma non-derivatized metabolites from 274,247 UK Biobank participants. Our age prediction models achieve a mean absolute error of approximately 6 years (0.25 Collapse

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MESH Headings

• Humans
• Metabolome/genetics
• Male
• Female
• Aging/genetics
• Aging/metabolism
• Aged
• Middle Aged
• Genome-Wide Association Study
• Metabolomics/methods
• Cardiovascular Diseases/mortality
• Cardiovascular Diseases/genetics
• Cardiovascular Diseases/metabolism
• Mendelian Randomization Analysis
• Polymorphism, Single Nucleotide
• Metabolic Diseases/genetics
• Metabolic Diseases/mortality
• Metabolic Diseases/metabolism
• Adult
• Aged, 80 and over
• United Kingdom

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Affiliation(s)

MULTI consortium
Filippos Anagnostakis Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA
Sarah Ko Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA
Mehrshad Saadatinia Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA
Jingyue Wang Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA
Christos Davatzikos Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Junhao Wen Laboratory of AI and Biomedical Science (LABS), Columbia University, New York, NY, USA. Department of Radiology, Columbia University, New York, NY, USA. New York Genome Center (NYGC), New York, NY, USA. Department of Biomedical Engineering (BME), Columbia University, New York, NY, USA. Data Science Institute (DSI), Columbia University, New York, NY, USA. Zuckerman Institute, Columbia University, New York, NY, USA. Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID), Department of Radiology, Columbia University, New York, NY, USA.

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Collaborators

Andrew Zalesky, Ye Ella Tian, Luigi Ferrucci, Keenan A Walker, Wenjia Bai, Michael S Rafii, Paul Aisen,

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