Integration of molecular profiles in a longitudinal wellness profiling cohort
Integration of molecular profiles in a longitudinal wellness profiling cohort
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DOI：
10.1038/s41467-020-18148-7
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发表时间：
2020-09-08
影响因子：
16.6
通讯作者：
Fagerberg, Linn
中科院分区：
文献类型：
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作者：
Tebani, Abdellah;Gummesson, Anders;Fagerberg, Linn
精确医学的一个重要方面是探索健康个体随着时间的推移分子图谱的稳定性。在这里，我们对100名健康个体的纵向健康队列进行采样，并分析血液分子谱，包括蛋白质组学、转录组学、脂质组学、代谢组学、自身抗体和免疫细胞图谱，并辅之以肠道微生物区系组成和常规临床化学。总体而言，我们的结果显示不同分子读数的个体之间的差异很大，而个体内的基线差异很小。分析表明，在整个研究期间，每个人都有一个独特和稳定的血浆蛋白质图谱，许多个体在其他组学数据集上也显示出不同的图谱，血液蛋白质组和临床化学参数之间有很强的潜在联系。总而言之，这些结果支持基于个体的健康定义，并表明纵向的全面组学分析是精准医学的一条前进道路。
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.