Protein Catabolites as Blood-Based Biomarkers of Aging Physiology: Findings From the Dog Aging Project.
Where this comes from
- Record sourced from PubMed, PMID 41121965.
- Also identified by DOI 10.1111/acel.70226 and PMC identifier 12611326.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Our understanding of aging has grown through the study of systems biology, including single-cell analysis, proteomics and metabolomics. Studies in lab organisms in controlled environments, while powerful and complex, fall short of capturing the breadth of genetic and environmental variation in nature. Thus, there is now a major effort in geroscience to identify aging biomarkers that might be applied across the diversity of humans and other free-living species. To meet this challenge, the Dog Aging Project (DAP) aims to identify cross-sectional and longitudinal patterns of aging in complex systems, and how these are shaped by the diversity of genetic and environmental variation among companion dogs. Here we surveyed the plasma metabolome from the first year of sampling of the Precision Cohort of the DAP. By incorporating extensive metadata and whole genome sequencing, we overcome the limitations inherent in breed-based estimates of genetic effects, and probe the physiological basis of the age-related metabolome. We identified effects of age on approximately 36% of measured metabolites. We also discovered a novel biomarker of age in the post-translationally modified amino acids (ptmAAs). The ptmAAs, which are generated by protein hydrolysis, covaried both with age and with other biomarkers of amino acid metabolism, and in a way that was robust to diet. Clinical measures of kidney function mediated about half of the age effect on ptmAA levels. This work identifies ptmAAs as robust indicators of age in dogs, and points to kidney function as a physiological mediator of age-associated variation in the plasma metabolome.
Medical subject headings
- Biomarkers
- Aging