Article ; Online: Organ-specific aging in the plasma proteome predicts disease.
2024 Volume 30, Issue 5, Page(s) 423–424
Abstract: In their recent Nature paper, Oh et al. use 4979 plasma proteins collected across multiple cohorts, publicly available gene expression data, and machine learning models to identify 11 organ-specific aging scores that are linked to organ-specific disease ... ...
Abstract | In their recent Nature paper, Oh et al. use 4979 plasma proteins collected across multiple cohorts, publicly available gene expression data, and machine learning models to identify 11 organ-specific aging scores that are linked to organ-specific disease and mortality risk, including heart failure, cognitive decline, and Alzheimer's disease. |
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MeSH term(s) | Humans ; Aging/blood ; Proteome/analysis ; Blood Proteins/genetics ; Blood Proteins/metabolism ; Organ Specificity ; Machine Learning ; Alzheimer Disease/blood ; Alzheimer Disease/genetics ; Alzheimer Disease/metabolism ; Biomarkers/blood ; Heart Failure/blood ; Heart Failure/genetics |
Chemical Substances | Proteome ; Blood Proteins ; Biomarkers |
Language | English |
Publishing date | 2024-01-31 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2036490-8 |
ISSN | 1471-499X ; 1471-4914 |
ISSN (online) | 1471-499X |
ISSN | 1471-4914 |
DOI | 10.1016/j.molmed.2024.01.005 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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