TY - JOUR
T1 - Facets of individual-specific health signatures determined from longitudinal plasma proteome profiling
AU - Dodig-Crnković, Tea
AU - Hong, Mun Gwan
AU - Thomas, Cecilia Engel
AU - Häussler, Ragna S.
AU - Bendes, Annika
AU - Dale, Matilda
AU - Edfors, Fredrik
AU - Forsström, Björn
AU - Magnusson, Patrik K.E.
AU - Schuppe-Koistinen, Ina
AU - Odeberg, Jacob
AU - Fagerberg, Linn
AU - Gummesson, Anders
AU - Bergström, Göran
AU - Uhlén, Mathias
AU - Schwenk, Jochen M.
PY - 2020
Y1 - 2020
N2 - 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. 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. 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. Funding: This work was supported by the Erling Persson Foundation, the Swedish Heart and Lung Foundation, the Knut and Alice Wallenberg Foundation, Science for Life Laboratory, and the Swedish Research Council.
AB - 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. 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. 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. Funding: This work was supported by the Erling Persson Foundation, the Swedish Heart and Lung Foundation, the Knut and Alice Wallenberg Foundation, Science for Life Laboratory, and the Swedish Research Council.
KW - Affinity proteomics
KW - Longitudinal profiling
KW - Plasma proteomics
KW - pQTLs
KW - Precision medicine
U2 - 10.1016/j.ebiom.2020.102854
DO - 10.1016/j.ebiom.2020.102854
M3 - Journal article
C2 - 32629387
SN - 2352-3964
VL - 57
JO - EBioMedicine
JF - EBioMedicine
M1 - 102854
ER -