Healthspan pathway maps in C. elegans and humans highlight transcription, prolifera-tion/biosynthesis and lipids
Steffen MölleriD, Nadine SauliD, Alan Arthur CoheniD, Rüdiger KöhlingiD, Sina SenderiD, Hugo Murua EscobariD, Christian JunghanßiD, Francesca CirulliiD, Alessandra BerryiD, Péter AntaliD, Priit AdleriD, Jaak ViloiD, Michele BoianiiD, Ludger JanseniD, Dirk RepsilberiD, Hans Jörgen GrabeiD, Stephan StruckmanniD, Israel BarrantesiD, Mohamed Hamed, Brecht WoutersiD, Liliane SchoofsiD, Walter H. M. L. LuyteniD, Georg FuelleniD
Abstract
The molecular basis of aging and of aging-associated diseases is being unraveled at an increasing pace. An extended healthspan, and not merely an extension of lifespan, has become the aim of medical practice. 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 the absence of 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 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, mitochondrion and biosynthesis based on genetic and compound intervention data, and lipids, biosynthesis and transcription based on WormBase compound intervention data. 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. 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/.
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