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Healthspan pathway maps in C. elegans and humans highlight transcription, proliferation/biosynthesis and lipids
Rostock University Medical Center, Institute for Biostatistics and Informatics in Medicine and Aging Research, IBIMA, Rostock, Germany.
Humboldt-University of Berlin, Institute of Biology, Berlin, Germany.
Department of Family Medicine, University of Sherbrooke, Sherbrooke, Canada.
Rostock University Medical Center, Oscar-Langendorff-Institute for Physiology, Rostock, Germany.
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2020 (English)In: Aging, E-ISSN 1945-4589, Vol. 12, no 13, p. 12534-12581Article, review/survey (Refereed) Published
Abstract [en]

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. 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. These genes may or may not be associated with survival/lifespan. In turn, survival/lifespan genes that are not known to be directly associated with health are not considered. Clusters of these genes based on molecular interaction data give rise to maps of healthspan pathways for humans and for C. elegans. Overlaying healthspan-related gene expression data onto the healthspan pathway maps, we observe the downregulation of (pro-inflammatory) Notch signaling in humans and of proliferation in 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, should be seen as a pilot investigation of the molecular underpinnings of health in two different species.

Place, publisher, year, edition, pages
Impact Journals LLC , 2020. Vol. 12, no 13, p. 12534-12581
Keywords [en]
Gene expression analysis, network biology analysis
National Category
Immunology in the medical area
Identifiers
URN: urn:nbn:se:oru:diva-84700DOI: 10.18632/aging.103514ISI: 000573897700008PubMedID: 32634117Scopus ID: 2-s2.0-85088494939OAI: oai:DiVA.org:oru-84700DiVA, id: diva2:1461108
Funder
EU, Horizon 2020, 633589
Note

Funding Agencies:

Fonds de la Recherche en Sante du Quebec

Estonian Research Agency grant IUT34-4

FWO 11A5420N

BME NC TKP2020 grant of NKFIH Hungary  

BME-Biotechnology FIKP grant of EMMI (BME FIKP-BIO)  

Orszagos Tudomanyos Kutatasi Alapprogramok (OTKA) K119866

Available from: 2020-08-26 Created: 2020-08-26 Last updated: 2024-07-04Bibliographically approved

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Repsilber, Dirk

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