蛋白质组学
代谢组学
脂类学
组学
蛋白质组
计算生物学
精密医学
仿形(计算机编程)
转录组
生物信息学
生物医学
医学
生物
队列
内科学
遗传学
计算机科学
基因表达
操作系统
基因
作者
Abdellah Tebani,Anders Gummesson,Wen Zhong,Ina Schuppe‐Koistinen,Tadepally Lakshmikanth,Lisa M. Olsson,Fredrik Boulund,Maja Neiman,Hans C. Stenlund,Cecilia Hellström,Max Karlsson,Muhammad Arif,Tea Dodig‐Crnković,Adil Mardinoğlu,Sunjae Lee,Cheng Zhang,Yang Chen,Axel Olin,Jaromír Mikeš,Hanna Danielsson
标识
DOI:10.1038/s41467-020-18148-7
摘要
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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