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运用数学推理挑战人类脓毒症中的分子教条。

Challenging molecular dogmas in human sepsis using mathematical reasoning.

机构信息

Systems Immunity Research Institute, School of Medicine, Cardiff University, Heath Park, Cardiff CF14 4XN, United Kingdom.

Systems Immunity Research Institute, School of Medicine, Cardiff University, Heath Park, Cardiff CF14 4XN, United Kingdom.

出版信息

EBioMedicine. 2022 Jun;80:104031. doi: 10.1016/j.ebiom.2022.104031. Epub 2022 May 3.

Abstract

Sepsis is defined as a dysregulated host-response to infection, across all ages and pathogens. What defines a dysregulated state remains intensively researched but incompletely understood. Here, we dissect the meaning of this definition and its importance for the diagnosis and management of sepsis. We deliberate on pathophysiological features and dogmas that range from cytokine storms and immune paralysis to dormancy and altered homeostasis setpoints. Mathematical reasoning, used to test for plausibility, reveals three interlinked cardinal rules governing host-response trajectories in sepsis. Rule one highlights that the amplitude of the immune response while important is not sufficient and is strictly dependent on rule two, specifying bioenergetic capacity and are together dynamically driven by rule three, delineating stability and alterations in setpoints. We consider these rules and associated pathophysiological parameters for guiding data-science and artificial intelligence mining of multi-omics and big-data for improving the precision of diagnostic and therapeutic approaches to sepsis. FUNDING: PG funded by the European Regional Development Fund and Welsh Government (Ser Cymru programme - Project Sepsis).

摘要

脓毒症是指宿主对感染的失调反应,涉及所有年龄和病原体。定义失调状态的原因仍在深入研究,但尚未完全了解。在这里,我们剖析了这一定义的含义及其对脓毒症的诊断和治疗的重要性。我们详细讨论了从细胞因子风暴和免疫麻痹到休眠和改变内稳态基准的病理生理特征和教条。用于检验合理性的数学推理揭示了三条相互关联的基本规则,这些规则支配着脓毒症宿主反应轨迹。第一条规则强调,免疫反应的幅度虽然重要,但并不足够,并且严格依赖于第二条规则,指定了生物能量能力,这两条规则共同受到第三条规则的动态驱动,该规则划定了基准的稳定性和改变。我们考虑这些规则和相关的病理生理参数,用于指导多组学和大数据的数据分析和人工智能挖掘,以提高脓毒症诊断和治疗方法的精度。资助:PG 由欧洲区域发展基金和威尔士政府(Ser Cymru 计划-脓毒症项目)共同资助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac3c/9079163/003e96ecaedd/gr1.jpg

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