Virus-induced genetics revealed by multidimensional precision medicine transcriptional workflow applicable to COVID-19
Virus-induced genetics revealed by multidimensional precision medicine transcriptional workflow applicable to COVID-19
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DOI：
10.1152/physiolgenomics.00045.2020
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发表时间：
2020-06-01
影响因子：
4.6
通讯作者：
Rajasekaran, Surender
中科院分区：
文献类型：
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作者：
Prokop, Jeremy W.;Shankar, Rama;Rajasekaran, Surender
精准医疗需要将基本的生物学理解转化为医学见解，主要应用于每个独特患者的特征描述。在许多临床环境中，这需要可广泛用于识别病理和风险的工具。患者通常以广泛的表型进入重症监护室。包括由感染、创伤或其它疾病过程引起的多器官功能障碍综合征（MODS）。病因和结局对个体来说是独特的，因此难以对MODS患者进行队列研究，但这是测试/开发精准医学工具的主要目标。在27例患者中使用多时间点全血（细胞/非细胞）总转录组学，我们强调了同时映射病毒/细菌载量，细胞组成，组织损伤生物标志物，综合征生物学与环境反应之间的平衡以及使用单个平台测量每个患者的独特生物学见解的承诺。转录组工作流程的整合对宿主遗传学和病毒/细菌特异性机制之间的复杂相互作用产生了意想不到的见解，这27名患者中的一名患者的病毒诱导遗传学（VIG）的独特病例突出了这一点。RNA-Seq在研究独特患者生物学的同时研究环境贡献的能力可能是应用于精准医学的转化科学向前发展的关键工具。
Precision medicine requires the translation of basic biological understanding to medical insights, mainly applied to characterization of each unique patient. In many clinical settings, this requires tools that can be broadly used to identify pathology and risks. Patients often present to the intensive care unit with broad phenotypes. including multiple organ dysfunction syndrome (MODS) resulting from infection, trauma, or other disease processes. Etiology and outcomes are unique to individuals, making it difficult to cohort patients with MODS, but presenting a prime target for testing/developing tools for precision medicine. Using multitime point whole blood (cellular/acellular) total transcriptomics in 27 patients, we highlight the promise of simultaneously mapping viral/bacterial load, cell composition, tissue damage biomarkers, balance between syndromic biology versus environmental response, and unique biological insights in each patient using a single platform measurement. Integration of a transcriptome workflow yielded unexpected insights into the complex interplay between host genetics and viral/bacterial specific mechanisms, highlighted by a unique case of virally induced genetics (VIG) within one of these 27 patients. The power of RNA-Seq to study unique patient biology while investigating environmental contributions can be a critical tool moving forward for translational sciences applied to precision medicine.