Biomarkers of cellular senescence and major health outcomes in older adults.

The geroscience hypothesis proposes that underlying biological processes, such as the accumulation of senescent cells, have deleterious effects on multiple tissues and increase the risk of many chronic conditions with aging. Senescent cells produce heterogenous biomarkers, also called senescence-associated secretory phenotype (SASP). Circulating concentrations of senescence biomarkers may reflect an underlying burden of senescent cells in various tissues.

The relationship between baseline BMD and fracture incidence in the placebo groups of RCTs using individual patient data from the FNIH-ASBMR-SABRE Project.

We have proposed to the Food and Drug Administration (FDA) that treatment-related increases in total hip bone mineral density (TH BMD) at two years could be a surrogate endpoint for fracture risk reduction in clinical trials. The qualification of a surrogate includes a strong association of the surrogate with the clinical outcome. We compiled a large database of individual patient data (IPD) through the FNIH-ASBMR-SABRE project, and this analysis aimed to assess the relationship between baseline BMD and fracture risk in the placebo groups.

Novel candidate taxa contribute to key metabolic processes in Fennoscandian Shield deep groundwaters.

The continental deep biosphere contains a vast reservoir of microorganisms, although a large proportion of its diversity remains both uncultured and undescribed. In this study, the metabolic potential (metagenomes) and activity (metatranscriptomes) of the microbial communities in Fennoscandian Shield deep subsurface groundwaters were characterized with a focus on novel taxa. DNA sequencing generated 1270 de-replicated metagenome-assembled genomes and single-amplified genomes, containing 7 novel classes, 34 orders, and 72 families.

High-throughput protein characterization by complementation using DNA barcoded fragment libraries.

Our ability to predict, control, or design biological function is fundamentally limited by poorly annotated gene function. This can be particularly challenging in non-model systems. Accordingly, there is motivation for new high-throughput methods for accurate functional annotation.