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鉴定代谢组学特征与脓毒性休克急性期治疗反应的相关性。

Characterization of a metabolomic profile associated with responsiveness to therapy in the acute phase of septic shock.

机构信息

Politecnico di Milano, Milan, Italy.

Hôpitaux Universitaires de Genève, Genève, Switzerland.

出版信息

Sci Rep. 2017 Aug 29;7(1):9748. doi: 10.1038/s41598-017-09619-x.

Abstract

The early metabolic signatures associated with the progression of septic shock and with responsiveness to therapy can be useful for developing target therapy. The Sequential Organ Failure Assessment (SOFA) score is used for stratifying risk and predicting mortality. This study aimed to verify whether different responses to therapy, assessed as changes in SOFA score at admission (T1, acute phase) and 48 h later (T2, post-resuscitation), are associated with different metabolite patterns. We examined the plasma metabolome of 21 septic shock patients (pts) enrolled in the Shockomics clinical trial (NCT02141607). Patients for which SOFA was >8 and Δ = SOFA - SOFA < 5, were classified as not responsive to therapy (NR, 7 pts), the remaining 14 as responsive (R). We combined untargeted and targeted mass spectrometry-based metabolomics strategies to cover the plasma metabolites repertoire as far as possible. Metabolite concentration changes from T1 to T2 (Δ = T2 - T1) were used to build classification models. Our results support the emerging evidence that lipidome alterations play an important role in individual patients' responses to infection. Furthermore, alanine indicates a possible alteration in the glucose-alanine cycle in the liver, providing a different picture of liver functionality from bilirubin. Understanding these metabolic disturbances is important for developing any effective tailored therapy for these patients.

摘要

与脓毒性休克进展和对治疗反应相关的早期代谢特征可用于开发靶向治疗。序贯器官衰竭评估 (SOFA) 评分用于分层风险和预测死亡率。本研究旨在验证治疗反应的差异(评估为入院时 (T1,急性期) 和 48 小时后 (T2,复苏后) 的 SOFA 评分变化)是否与不同的代谢物模式相关。我们检查了 Shockomics 临床试验 (NCT02141607) 中纳入的 21 例脓毒性休克患者 (pts) 的血浆代谢组。SOFA>8 且 Δ = SOFA - SOFA < 5 的患者被归类为对治疗无反应 (NR,7 例),其余 14 例为有反应 (R)。我们结合非靶向和靶向基于质谱的代谢组学策略,尽可能涵盖血浆代谢物谱。从 T1 到 T2 的代谢物浓度变化 (Δ = T2 - T1) 用于构建分类模型。我们的结果支持了这样一种新兴证据,即脂质组的改变在个体患者对感染的反应中起着重要作用。此外,丙氨酸表明肝脏中的葡萄糖-丙氨酸循环可能发生了改变,为肝功能提供了与胆红素不同的图片。了解这些代谢紊乱对于为这些患者开发任何有效的靶向治疗都很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/061c/5575075/1d07b27b8994/41598_2017_9619_Fig1_HTML.jpg

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