RT Journal Article SR Electronic T1 Healthspan pathway maps in C. elegans and humans highlight transcription, proliferation/biosynthesis and lipids JF bioRxiv FD Cold Spring Harbor Laboratory SP 355131 DO 10.1101/355131 A1 Möller, Steffen A1 Saul, Nadine A1 Cohen, Alan A. A1 Köhling, Rüdiger A1 Sender, Sina A1 Escobar, Hugo Murua A1 Junghanss, Christian A1 Cirulli, Francesca A1 Berry, Alessandra A1 Antal, Peter A1 Adler, Priit A1 Vilo, Jaak A1 Boiani, Michele A1 Jansen, Ludger A1 Struckmann, Stephan A1 Barrantes, Israel A1 Hamed, Mohamed A1 Luyten, Walter A1 Fuellen, Georg YR 2018 UL http://biorxiv.org/content/early/2018/06/25/355131.abstract AB The molecular basis of aging and of aging-related diseases is being unraveled at an increasing pace. More recently, a long healthspan is seen as an important goal. However, a precise definition of health and healthspan is not straightforward, and the causal molecular basis of health “per se” is largely unknown. Here, we define health based on diseases and dysfunctions. Based on an extensive review of the literature, in particular for humans and C. elegans, we compile a list of features of health and of the genes associated with them. Clusters of these genes based on molecular interaction and annotation data give rise to maps of healthspan pathways for humans, featuring the themes transcription initiation, proliferation and cholesterol/lipid processing, and for C. elegans, featuring the themes immune response and the mitochondrion. Overlaying healthspan-related gene expression data (describing effects of metabolic intervention associated with improvements in health) onto the aforementioned healthspan pathway maps, we observe the downregulation of Notch signalling in humans and of proliferation/cell-cycle in C. elegans; the former reflects the proinflammatory role of the Notch pathway. Investigating the overlap of healthspan pathways of humans and C. elegans, we identify transcription, proliferation/biosynthesis and lipids as a common theme on the annotation level, and proliferation-related kinases on the gene/protein level. Our literature-based data corpus, including visualization, is available as a reference for future investigations, at http://www.h2020awe.eu/index.php/pathways/.