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Research article - Peer-reviewed, 2020

Integration of molecular profiles in a longitudinal wellness profiling cohort

Tebani, Abdellah; Gummesson, Anders; Zhong, Wen; Koistinen, Ina Schuppe; Lakshmikanth, Tadepally; Olsson, Lisa M.; Boulund, Fredrik; Neiman, Maja; Stenlund, Hans; Hellstrom, Cecilia; Karlsson, Max J.; Arif, Muhammad; Dodig-Crnkovic, Tea; Mardinoglu, Adil; Lee, Sunjae; Zhang, Cheng; Chen, Yang; Olin, Axel; Mikes, Jaromir; Danielsson, Hanna;
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Abstract

An important aspect of precision medicine is to probe the stability in molecular profiles among healthy individuals over time. Here, we sample a longitudinal wellness cohort with 100 healthy individuals and analyze blood molecular profiles including proteomics, transcriptomics, lipidomics, metabolomics, autoantibodies and immune cell profiling, complemented with gut microbiota composition and routine clinical chemistry. Overall, our results show high variation between individuals across different molecular readouts, while the intra-individual baseline variation is low. The analyses show that each individual has a unique and stable plasma protein profile throughout the study period and that many individuals also show distinct profiles with regards to the other omics datasets, with strong underlying connections between the blood proteome and the clinical chemistry parameters. In conclusion, the results support an individual-based definition of health and show that comprehensive omics profiling in a longitudinal manner is a path forward for precision medicine.

Published in

Nature Communications

2020, volume: 11, number: 1, article number: 4487
Publisher: NATURE RESEARCH

Authors' information

Tebani, Abdellah
Royal Institute of Technology
Gummesson, Anders
University of Gothenburg
Gummesson, Anders
Sahlgrenska University Hospital
Zhong, Wen
Royal Institute of Technology
Koistinen, Ina Schuppe
Royal Institute of Technology
Koistinen, Ina Schuppe
Karolinska Institutet
Lakshmikanth, Tadepally
Karolinska Institutet
Olsson, Lisa M.
University of Gothenburg
Boulund, Fredrik
Karolinska Institutet
Neiman, Maja
Royal Institute of Technology
Umea University
Hellstrom, Cecilia
Royal Institute of Technology
Karlsson, Max J.
Royal Institute of Technology
Arif, Muhammad
Royal Institute of Technology
Dodig-Crnkovic, Tea
Royal Institute of Technology
Mardinoglu, Adil
Royal Institute of Technology
Mardinoglu, Adil
University of London
Lee, Sunjae
Royal Institute of Technology
Zhang, Cheng
Royal Institute of Technology (KTH)
Chen, Yang
Karolinska Institutet
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UKÄ Subject classification

Other Clinical Medicine

Publication Identifiers

DOI: https://doi.org/10.1038/s41467-020-18148-7

URI (permanent link to this page)

https://res.slu.se/id/publ/110692