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dc.contributor.authorDodig-Crnković, Tea
dc.contributor.authorHong, Mun-Gwan
dc.contributor.authorEngel Thomas, Cecilia
dc.contributor.authorHäussler, Ragna S.
dc.contributor.authorBendes, Annika
dc.contributor.authorDale, Matilda
dc.contributor.authorEdfors, Fredrik
dc.contributor.authorForsström, Björn
dc.contributor.authorMagnusson, Patrik K.E.
dc.contributor.authorSchuppe-Koistinen, Ina
dc.contributor.authorOdeberg, Jacob Olof
dc.contributor.authorFagerberg, Linn
dc.contributor.authorGummesson, Anders
dc.contributor.authorBergström, Göran
dc.contributor.authorMathias, Uhlén
dc.contributor.authorSchwenk, Jochen M.
dc.date.accessioned2022-04-20T11:15:44Z
dc.date.available2022-04-20T11:15:44Z
dc.date.issued2020-07-03
dc.description.abstractBackground: Precision medicine approaches aim to tackle diseases on an individual level through molecular profiling. Despite the growing knowledge about diseases and the reported diversity of molecular phenotypes, the descriptions of human health on an individual level have been far less elaborate.<p> <p>Methods: To provide insights into the longitudinal protein signatures of well-being, we profiled blood plasma collected over one year from 101 clinically healthy individuals using multiplexed antibody assays. After applying an antibody validation scheme, we utilized > 700 protein profiles for in-depth analyses of the individuals’ short-term health trajectories.<p> <p<Findings: We found signatures of circulating proteomes to be highly individual-specific. Considering technical and longitudinal variability, we observed that 49% of the protein profiles were stable over one year. We also identified eight networks of proteins in which 11 242 proteins covaried over time. For each participant, there were unique protein profiles of which some could be explained by associations to genetic variants.<p> <p>Interpretation: This observational and non-interventional study identifyed noticeable diversity among clinically healthy subjects, and facets of individual-specific signatures emerged by monitoring the variability of the circulating proteomes over time. To enable more personal hence precise assessments of health states, longitudinal profiling of circulating proteomes can provide a valuable component for precision medicine approaches.en_US
dc.identifier.citationDodig-Crnković, Hong, Engel Thomas, Häussler RS, Bendes A, Dale M, Edfors F, Forsström B, Magnusson PK, Schuppe-Koistinen, Odeberg JO, Fagerberg L, Gummesson, Bergström G, Mathias, Schwenk JM. Facets of individual-specific health signatures determined from longitudinal plasma proteome profiling. EBioMedicine. 2020en_US
dc.identifier.cristinIDFRIDAID 1900208
dc.identifier.doi10.1016/j.ebiom.2020.102854
dc.identifier.issn2352-3964
dc.identifier.urihttps://hdl.handle.net/10037/24818
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalEBioMedicine
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.titleFacets of individual-specific health signatures determined from longitudinal plasma proteome profilingen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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