Abstract

In the first part of the talk, we report the results of Cox regression and Pearson correlation analyses using data of the Study of Health in Pomerania (SHIP), with mortality information of 1518 participants (113 of which died), over a time span of more than 10 years. While some of the Cox regression biomarkers were firmly established in many studies before, others align with an ”integrated albunemia” model of aging proposed recently. Analysis of existing longitidinal data is expected to yield biomarkers useful for future studies towards individualizing healthspan-promoting interventions. Interventions in rhesus demonstrate that healthy aging can be promoted. In the form of caloric restriction mimetics, feasible diet and small-molecule interventions are now on the horizon. These interventions must ultimately be combined in individualized ways. In turn, good (omics) biomarkers are needed. I will therefore discuss the specific problems posed by trials for individualized healthspan-promoting interventions, regarding the overall design, choice of trial participants, interventions, endpoints and of the variables to be measured, ranging from blood counts to omics data. A key question is how to single out the variables that may qualify as the most useful biomarkers.