Computer prediction and genetic analysis identifies retinoic acid modulation as a driver of conserved longevity pathways in genetically diverse

Stephen A Banse, Christine A Sedore, Anna Coleman-Hulbert, Erik Johnson, Brian Onken, David Hall, Erik Segerdell, E Grace Jackson, Yuhua Song, Haley C Osman, Jian Xue, Elena Basttistoni, Suhzen Guo, Anna Foulger, Madhuri Achanta, Mustafa Sheikh, Theresa Fitzgibbon, John H Willis, Gavin C Woodruff, Monica Driscoll, Gordon Lithgow, Patrick C Phillips

Institute of Ecology and Evolution, University of Oregon, Eugene, United States. · pubmed

Paper

Abstract

Discovery of new compounds that ameliorate the negative health impacts of aging promises to be of tremendous benefit across a number of age-based comorbidities. One method to prioritize a testable subset of the nearly infinite universe of potential compounds is to use computational prediction of their likely anti-aging capacity. Here, we present a survey of longevity effects for 16 compounds suggested by a previously published computational prediction set, capitalizing upon the comprehensive, multi-species approach utilized by the

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper claims that retinoic acid modulation influences conserved longevity pathways across diverse species. The research focuses on identifying compounds that may address the root causes of aging, which aligns with longevity research.

Author of this paper? Send a correction.