Principal component-based clinical aging clocks identify signatures of healthy aging and targets for clinical intervention.

Clocks that measure biological age should predict all-cause mortality and give rise to actionable insights to promote healthy aging. Here we applied dimensionality reduction by principal component analysis to clinical data to generate a clinical aging clock (PCAge) identifying signatures (principal components) separating healthy and unhealthy aging trajectories. We found signatures of metabolic dysregulation, cardiac and renal dysfunction and inflammation that predict unsuccessful aging, and we demonstrate that these processes can be impacted using well-established drug interventions.

-A Model System for Developmental Biology.

In this Special Issue, titled "-A Model System for Developmental Biology", we present a series of articles and reviews looking at the diverse ways that researchers are using the humble fruit fly, also known as the vinegar fly, to tackle the many aspects of development and homeostasis [...

ggbulksurv: An R package for easy Drosophila and C. elegans survival analysis.

Lifespan studies on fast-aging model organisms like and are conducted with multiple organisms per vial. Lifespan data results in a "one row, multiple individuals" format, which is incompatible with R packages that require a "one row, one individual" format. We present , an R package for user-friendly survival analysis and highlight three key features.

The Wnt Co-Receptor PTK7/Otk and Its Homolog Otk-2 in Neurogenesis and Patterning.

Wnt signaling is a highly conserved metazoan pathway that plays a crucial role in cell fate determination and morphogenesis during development. Wnt ligands can induce disparate cellular responses. The exact mechanism behind these different outcomes is not fully understood but may be due to interactions with different receptors on the cell membrane.