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Facets of individual-specific health signatures determined from longitudinal plasma proteome profiling

Permanent lenke
https://hdl.handle.net/10037/24818
DOI
https://doi.org/10.1016/j.ebiom.2020.102854
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article.pdf (3.332Mb)
Publisert versjon (PDF)
Dato
2020-07-03
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Forfatter
Dodig-Crnković, Tea; Hong, Mun-Gwan; Engel Thomas, Cecilia; Häussler, Ragna S.; Bendes, Annika; Dale, Matilda; Edfors, Fredrik; Forsström, Björn; Magnusson, Patrik K.E.; Schuppe-Koistinen, Ina; Odeberg, Jacob Olof; Fagerberg, Linn; Gummesson, Anders; Bergström, Göran; Mathias, Uhlén; Schwenk, Jochen M.
Sammendrag
Background: 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.

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.

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.

Forlag
Elsevier
Sitering
Dodig-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. 2020
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  • Artikler, rapporter og annet (UB) [3244]
Copyright 2020 The Author(s)

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