Benjamin R. Harrison

The paper analyzes the canine gut microbiome across 900 dogs to identify factors influencing microbiome composition and develops a metagenomics-based aging clock.

This study identifies blood biomarkers and genetic factors associated with aging in dogs using genomic and phenotypic data from 7,627 dogs.

The paper identifies shared plasma metabolomic biomarkers of mortality in dogs and humans, showing strong correlations between metabolite effects on all-cause mortality in both species.

This study shows that rapamycin affects germline stem cell quiescence differently across genetic backgrounds in Drosophila, with mitophagy playing a key role in quiescence persistence.

This study shows that mitochondrial dysfunction contributes to aortic aging and that treatment with elamipretide improves mitochondrial function and reduces inflammation in aged mice.

The paper identifies post-translationally modified amino acids (ptmAAs) as age-related plasma metabolites in dogs, linking them to kidney function and dietary factors.

The paper investigates how knocking out the doublesex gene in Drosophila affects metabolomic differences between sexes, finding that dsx significantly influences sex-specific metabolites across tissues.

This study uses metabolomic profiling in Drosophila melanogaster to show that selection for early reproduction leads to repeatable metabolic changes and a reliable predictor of biological age.

The paper investigates the functional specialization of SAM synthases in C. elegans, showing that SAMS-1 affects mitochondrial function and stress survival through phosphatidylcholine, while SAMS-4 is critical for methylation reactions.

The paper analyzes DNA methylation in dogs to identify age-related patterns, finding that LINE1 transposons show hypomethylation with age, varying by breed size and sex.

The paper develops an epigenetic clock for dogs using DNA methylation data to show that larger breeds age faster and have higher mortality risk.

The paper investigates how cell-specific turnover rates influence transcriptome aging across organs and develops a model to explain differential aging rates.

The paper identifies a core cellular network in fly brains using co-expression analysis across cell types and validates it in additional datasets.

The paper analyzes lifespan variation in wild yeast isolates to identify genetic and environmental factors shaping replicative lifespan and cellular processes involved in aging.