Integration of molecular profiles in a longitudinal wellness profiling cohort

Abdellah Tebani; Anders Gummesson; Wen Zhong; Ina Schuppe Koistinen; Tadepally Lakshmikanth; Lisa M. Olsson; Fredrik Boulund; Maja Neiman; Hans Stenlund; Cecilia Hellström; Max J. Karlsson; Muhammad Arif; Tea Dodig-Crnković; Adil Mardinoglu; Sunjae Lee; Cheng Zhang; Yang Chen; Axel Olin; Jaromir Mikes; Hanna Danielsson; Kalle von Feilitzen; Per Anders Jansson; Oskar Angerås; Mikael Huss; Sanela Kjellqvist; Jacob Odeberg; Fredrik Edfors; Valentina Tremaroli; Björn Forsström; Jochen M. Schwenk; Peter Nilsson; Thomas Moritz; Fredrik Bäckhed; Lars Engstrand; Petter Brodin; Göran Bergström; Mathias Uhlen; Linn Fagerberg

doi:10.1038/s41467-020-18148-7

Integration of molecular profiles in a longitudinal wellness profiling cohort

Abdellah Tebani, Anders Gummesson, Wen Zhong, Ina Schuppe Koistinen, Tadepally Lakshmikanth, Lisa M. Olsson, Fredrik Boulund, Maja Neiman, Hans Stenlund, Cecilia Hellström, Max J. Karlsson, Muhammad Arif, Tea Dodig-Crnković, Adil Mardinoglu, Sunjae Lee, Cheng Zhang, Yang Chen, Axel Olin, Jaromir Mikes, Hanna DanielssonKalle von Feilitzen, Per Anders Jansson, Oskar Angerås, Mikael Huss, Sanela Kjellqvist, Jacob Odeberg, Fredrik Edfors, Valentina Tremaroli, Björn Forsström, Jochen M. Schwenk, Peter Nilsson, Thomas Moritz, Fredrik Bäckhed, Lars Engstrand, Petter Brodin, Göran Bergström, Mathias Uhlen, Linn Fagerberg^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

67 Citations (Scopus)

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.

Original language	English
Article number	4487
Journal	Nature Communications
Volume	11
Issue number	1
DOIs	https://doi.org/10.1038/s41467-020-18148-7
Publication status	Published - 1 Dec 2020

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Tebani, A., Gummesson, A., Zhong, W., Koistinen, I. S., Lakshmikanth, T., Olsson, L. M., Boulund, F., Neiman, M., Stenlund, H., Hellström, C., Karlsson, M. J., Arif, M., Dodig-Crnković, T., Mardinoglu, A., Lee, S., Zhang, C., Chen, Y., Olin, A., Mikes, J., ... Fagerberg, L. (2020). Integration of molecular profiles in a longitudinal wellness profiling cohort. Nature Communications, 11(1), Article 4487. https://doi.org/10.1038/s41467-020-18148-7

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title = "Integration of molecular profiles in a longitudinal wellness profiling cohort",

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.",

author = "Abdellah Tebani and Anders Gummesson and Wen Zhong and Koistinen, {Ina Schuppe} and Tadepally Lakshmikanth and Olsson, {Lisa M.} and Fredrik Boulund and Maja Neiman and Hans Stenlund and Cecilia Hellstr{\"o}m and Karlsson, {Max J.} and Muhammad Arif and Tea Dodig-Crnkovi{\'c} and Adil Mardinoglu and Sunjae Lee and Cheng Zhang and Yang Chen and Axel Olin and Jaromir Mikes and Hanna Danielsson and {von Feilitzen}, Kalle and Jansson, {Per Anders} and Oskar Anger{\aa}s and Mikael Huss and Sanela Kjellqvist and Jacob Odeberg and Fredrik Edfors and Valentina Tremaroli and Bj{\"o}rn Forsstr{\"o}m and Schwenk, {Jochen M.} and Peter Nilsson and Thomas Moritz and Fredrik B{\"a}ckhed and Lars Engstrand and Petter Brodin and G{\"o}ran Bergstr{\"o}m and Mathias Uhlen and Linn Fagerberg",

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doi = "10.1038/s41467-020-18148-7",

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Tebani, A, Gummesson, A, Zhong, W, Koistinen, IS, Lakshmikanth, T, Olsson, LM, Boulund, F, Neiman, M, Stenlund, H, Hellström, C, Karlsson, MJ, Arif, M, Dodig-Crnković, T, Mardinoglu, A , Lee, S, Zhang, C, Chen, Y, Olin, A, Mikes, J, Danielsson, H, von Feilitzen, K, Jansson, PA, Angerås, O, Huss, M, Kjellqvist, S, Odeberg, J, Edfors, F, Tremaroli, V, Forsström, B, Schwenk, JM, Nilsson, P, Moritz, T, Bäckhed, F, Engstrand, L, Brodin, P, Bergström, G, Uhlen, M & Fagerberg, L 2020, 'Integration of molecular profiles in a longitudinal wellness profiling cohort', Nature Communications, vol. 11, no. 1, 4487. https://doi.org/10.1038/s41467-020-18148-7

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T1 - Integration of molecular profiles in a longitudinal wellness profiling cohort

AU - Tebani, Abdellah

AU - Gummesson, Anders

AU - Zhong, Wen

AU - Koistinen, Ina Schuppe

AU - Lakshmikanth, Tadepally

AU - Olsson, Lisa M.

AU - Boulund, Fredrik

AU - Neiman, Maja

AU - Stenlund, Hans

AU - Hellström, Cecilia

AU - Karlsson, Max J.

AU - Arif, Muhammad

AU - Dodig-Crnković, Tea

AU - Mardinoglu, Adil

AU - Lee, Sunjae

AU - Zhang, Cheng

AU - Chen, Yang

AU - Olin, Axel

AU - Mikes, Jaromir

AU - Danielsson, Hanna

AU - von Feilitzen, Kalle

AU - Jansson, Per Anders

AU - Angerås, Oskar

AU - Huss, Mikael

AU - Kjellqvist, Sanela

AU - Odeberg, Jacob

AU - Edfors, Fredrik

AU - Tremaroli, Valentina

AU - Forsström, Björn

AU - Schwenk, Jochen M.

AU - Nilsson, Peter

AU - Moritz, Thomas

AU - Bäckhed, Fredrik

AU - Engstrand, Lars

AU - Brodin, Petter

AU - Bergström, Göran

AU - Uhlen, Mathias

AU - Fagerberg, Linn

PY - 2020/12/1

Y1 - 2020/12/1

N2 - 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.

AB - 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.

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U2 - 10.1038/s41467-020-18148-7

DO - 10.1038/s41467-020-18148-7

M3 - Article

AN - SCOPUS:85090387884

SN - 2041-1723

VL - 11

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 4487

ER -

Integration of molecular profiles in a longitudinal wellness profiling cohort

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