%0 Journal Article %1 tebani2020integration %A Tebani, Abdellah %A Gummesson, Anders %A Zhong, Wen %A Koistinen, Ina Schuppe %A Lakshmikanth, Tadepally %A Olsson, Lisa M. %A Boulund, Fredrik %A Neiman, Maja %A Stenlund, Hans %A Hellström, Cecilia %A Karlsson, Max J. %A Arif, Muhammad %A Dodig-Crnković, Tea %A Mardinoglu, Adil %A Lee, Sunjae %A Zhang, Cheng %A Chen, Yang %A Olin, Axel %A Mikes, Jaromir %A Danielsson, Hanna %A von Feilitzen, Kalle %A Jansson, Per-Anders %A Angerås, Oskar %A Huss, Mikael %A Kjellqvist, Sanela %A Odeberg, Jacob %A Edfors, Fredrik %A Tremaroli, Valentina %A Forsström, Björn %A Schwenk, Jochen M. %A Nilsson, Peter %A Moritz, Thomas %A Bäckhed, Fredrik %A Engstrand, Lars %A Brodin, Petter %A Bergström, Göran %A Uhlen, Mathias %A Fagerberg, Linn %D 2020 %J Nature Communications %K SCAPIS %N 1 %P 4487-- %R 10.1038/s41467-020-18148-7 %T Integration of molecular profiles in a longitudinal wellness profiling cohort %U https://doi.org/10.1038/s41467-020-18148-7 %V 11 %X 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.

@article{tebani2020integration, 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.}, added-at = {2020-09-08T13:07:47.000+0200}, author = {Tebani, Abdellah and Gummesson, Anders and Zhong, Wen and Koistinen, Ina Schuppe and Lakshmikanth, Tadepally and Olsson, Lisa M. and Boulund, Fredrik and Neiman, Maja and Stenlund, Hans and Hellström, Cecilia and Karlsson, Max J. and Arif, Muhammad and Dodig-Crnković, Tea and Mardinoglu, Adil and Lee, Sunjae and Zhang, Cheng and Chen, Yang and Olin, Axel and Mikes, Jaromir and Danielsson, Hanna and von Feilitzen, Kalle and Jansson, Per-Anders and Angerås, Oskar and Huss, Mikael and Kjellqvist, Sanela and Odeberg, Jacob and Edfors, Fredrik and Tremaroli, Valentina and Forsström, Björn and Schwenk, Jochen M. and Nilsson, Peter and Moritz, Thomas and Bäckhed, Fredrik and Engstrand, Lars and Brodin, Petter and Bergström, Göran and Uhlen, Mathias and Fagerberg, Linn}, biburl = {https://www.bibsonomy.org/bibtex/2c7df23a7b2d48718578815f0fbd218ef/lkanth}, description = {Integration of molecular profiles in a longitudinal wellness profiling cohort | Nature Communications}, doi = {10.1038/s41467-020-18148-7}, interhash = {75bd2c70b13ea4a5d449951122c68d0c}, intrahash = {c7df23a7b2d48718578815f0fbd218ef}, issn = {20411723}, journal = {Nature Communications}, keywords = {SCAPIS}, number = 1, pages = {4487--}, refid = {Tebani2020}, timestamp = {2020-10-13T10:43:30.000+0200}, title = {Integration of molecular profiles in a longitudinal wellness profiling cohort}, url = {https://doi.org/10.1038/s41467-020-18148-7}, volume = 11, year = 2020 }