Patrick T. Griffin

This study identifies DNA methylation signatures associated with frailty in mice, distinguishing age-independent and -dependent mechanisms and revealing sex-specific patterns.

This paper develops a multi-omic model to predict phenotypic age in mice, showing it can predict remaining lifespan even among same-aged mice.

This study identifies sex-specific metabolite biomarkers of frailty in aging mice using longitudinal metabolomics and machine learning.

This study shows that long-term NMN treatment improves healthspan and extends lifespan in female mice but not males, with sex-specific effects on metabolism and microbiome.

The paper introduces TIME-Seq, a low-cost method for epigenetic age prediction, and validates it on mouse and human samples, showing improved scalability and accuracy.

The paper shows that DNA double-strand breaks induce epigenomic changes that accelerate the aging clock in mammals.

The paper shows that inducing DNA breaks accelerates aging-related chromatin changes and loss of cell identity in mammals.

The paper shows hypomethylation of Satellite 2 sequences impairs DNA replication, leading to chromosomal rearrangements and genomic instability.