A5009668995- Epigenetics and DNA Methylation
- Gut microbiota and health
- Genetic Syndromes and Imprinting
- Identity, Memory, and Therapy
- Tryptophan and brain disorders
- RNA modifications and cancer
- Diet and metabolism studies
- Genomic variations and chromosomal abnormalities
- Clostridium difficile and Clostridium perfringens research
- Congenital Anomalies and Fetal Surgery
- Congenital heart defects research
- Birth, Development, and Health
National Institute on Aging
2018-2021
National Institutes of Health
2020-2021
Institute on Aging
2021
The increase of insulin resistance in “healthy” aging can be explained by a gut microbiota–monocyte–B1a B cell axis.
Robust biomarkers of aging have been developed from DNA methylation in humans and more recently, mice. This study aimed to generate a novel epigenetic clock rats—a model with unique physical, physiological, biochemical advantages—by incorporating behavioral data, unsupervised machine learning, network analysis identify signals that not only track age, but also relates phenotypic aging. Reduced representation bisulfite sequencing (RRBS) data was used train an age (DNAmAge) measure Fischer 344...
Abstract Age-dependent differences in methylation at specific cytosine–guanine (CpG) sites have been used “epigenetic clock” formulas to predict age. Deviations of epigenetic age from chronological are informative health status and associated with adverse outcomes, including mortality. In most cases, clocks performed on DNA extracted circulating blood cells. However, the effect neoplastic cells circulation estimation interpretation is not well understood. Here, we explored this using Fischer...
ABSTRACT Aging has been shown to be a strong driver of DNA methylation changes, leading the development robust biomarkers in humans and more recently, mice. This study aimed generate novel epigenetic clock rats—a model with unique physical, physiological, biochemical advantages for studying mammalian aging. Additionally, we incorporated behavioral data, unsupervised machine learning, network analysis identify signals that not only track age, but also relate phenotypic aging reflect...