Integration of molecular profiles in a longitudinal wellness profiling cohort
Nature Communications, 2020
Tebani A., Gummesson A., Zhong W., Koistinen I., Lakshmikanth T., Olsson L., Boulund F., Neiman M., Stenlund H., Hellström C., Karlsson M., Arif M., Dodig-Crnković T., Mardinoglu A., Lee S., Zhang C., Chen Y., Olin A., Mikes J., Danielsson H., von Feilitzen K., Jansson P., Angerås O., Huss M., Kjellqvist S., Odeberg J., Edfors F., Tremaroli V., Forsström B., Schwenk J., Nilsson P., Moritz T., Bäckhed F., Engstrand L., Brodin P., Bergström G., Uhlen M., Fagerberg L.
| Disease area | Application area | Sample type | Products |
|---|---|---|---|
Wider Proteomics Studies | Epidemiology | Plasma | O Olink Target 96 |
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.