The pathophysiology of sepsis is multi-facetted and highly complex. As sepsis is a leading cause of global mortality that still lacks targeted therapies, increased understanding of its pathogenesis is vital for improving clinical care and outcomes. An increasing number of investigations seeks to unravel the complexity of sepsis through high-dimensional data analysis, enabled by advances in -omics technologies. Here, we summarize progress in the following major -omics fields: genomics, epigenomics, transcriptomics, proteomics, lipidomics, and microbiomics. We describe what these fields can teach us about sepsis, and highlight current trends and future challenges. Finally, we focus on multi-omics integration, and discuss the challenges in deriving biological meaning and clinical applications from these types of data.

中文翻译：

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败血症：从高维数据推导生物学意义和临床应用

败血症的病理生理学是多方面的并且高度复杂。由于败血症是导致全球性死亡的主要原因，仍然缺乏针对性治疗，因此加深对其发病机理的了解对于改善临床护理和疗效至关重要。越来越多的研究试图通过组学技术的进步，通过高维数据分析来揭示败血症的复杂性。在这里，我们总结了以下主要组学领域的进展：基因组学，表观基因组学，转录组学，蛋白质组学，脂质组学和微生物组学。我们描述了这些领域可以教给我们有关败血症的知识，并重点介绍了当前的趋势和未来的挑战。最后，我们将重点放在多组学集成上，并讨论从这些类型的数据中获得生物学意​​义和临床应用的挑战。