Department of Anesthesiology, Huashan Hospital, Fudan University, Shanghai, 200040, PR China.
Department of Anesthesiology, Cancer Hospital, Fudan University, Shanghai, 200032, PR China.
Neurochem Int. 2018 Jun;116:95-103. doi: 10.1016/j.neuint.2018.02.009. Epub 2018 Feb 22.
Background OBJECTIVE: The cerebral ischemia/reperfusion greatly influences brain metabolism. Remote ischemia preconditioning (RIPC) is reported to confer neuroprotective effects against cerebral ischemia in animal models and human. This study aims to investigate the metabolomic profiles of cerebrospinal fluid (CSF) in patients treated with repetitive lower limb RIPC and provides an insight into possible mechanism underlying RIPC-induced neuroprotection.
Fifty healthy patients undergoing minor surgery under spinal anesthesia were randomly allocated to 2 groups: control group (Group C, n = 25) and RIPC treatment group (Group T,n = 25). Repetitive limb RIPC were performed 3 sessions, consisting of three 5-min cycles per session from the day before surgery to the morning on the surgery day. The CSF samples were collected from 48 patients before intrathecal injection of local anesthetic. A proton nuclear magnetic resonance (H NMR)-based metabonomics approach was used to obtain the CSF metabolic profiles of the samples (n = 24 each). The acquired data were processed with MestReNova and followed by statistical analysis with SIMCA-P.
The model obtained with the orthogonal partial least-squares discriminant analysis (OPLS-DA) identified difference of metabolite profiles between two groups. The validation of the discriminant analysis showed that the accuracy of the OPLS-DA model was 81.3%. Sixteen metabolites including glucose, amino-acids and organic acids et al. were identified as the most influential CSF biomarkers for the discrimination between two groups, which are involved in pathways of energy metabolism and amino-acids metabolism.
H NMR spectra combined with pattern recognition analysis offers a new and promising platform to investigate metabolic signatures in patients treated with RIPC. Our results suggest repetitive RIPC mainly changes energy metabolism and amino-acid metabolism in brain, which provides a potential mechanistic understanding of RIPC-induced tolerance to cerebral ischemia.
大脑的缺血/再灌注会极大地影响脑代谢。有报道称,远程缺血预处理(RIPC)在动物模型和人类中可对脑缺血产生神经保护作用。本研究旨在探究接受重复下肢 RIPC 治疗的患者脑脊液(CSF)中的代谢组学特征,并深入了解 RIPC 诱导神经保护作用的可能机制。
50 例接受脊髓麻醉下小手术的健康患者被随机分为 2 组:对照组(C 组,n=25)和 RIPC 治疗组(T 组,n=25)。重复肢体 RIPC 从手术前一天到手术当天早上进行 3 次,每次 3 个 5 分钟的周期。从 48 例患者的鞘内注射局部麻醉前采集 CSF 样本。采用基于质子核磁共振(1H NMR)的代谢组学方法获取样本的 CSF 代谢谱(每组 n=24)。使用 MestReNova 对获得的数据进行处理,然后使用 SIMCA-P 进行统计分析。
正交偏最小二乘判别分析(OPLS-DA)模型确定了两组之间代谢谱的差异。判别分析的验证表明,OPLS-DA 模型的准确性为 81.3%。共鉴定出包括葡萄糖、氨基酸和有机酸等在内的 16 种代谢物作为两组之间区分的最具影响力的 CSF 生物标志物,这些代谢物涉及能量代谢和氨基酸代谢途径。
1H NMR 谱结合模式识别分析为研究接受 RIPC 治疗的患者的代谢特征提供了一个新的、有前途的平台。我们的结果表明,重复 RIPC 主要改变大脑的能量代谢和氨基酸代谢,为 RIPC 诱导的脑缺血耐受提供了潜在的机制理解。