Ennis Kathleen, Lusczek Elizabeth, Rao Raghavendra
Division of Neonatology, Department of Pediatrics, University of Minnesota, Mayo Mail Code 39, 420 Delaware Street, SE, Minneapolis, MN 55455, USA.
Department of Surgery, University of Minnesota, Mayo Mail Code 195, 420 Delaware Street, SE, Minneapolis, MN 55455, USA.
Neurosci Lett. 2017 Jul 13;653:370-375. doi: 10.1016/j.neulet.2017.06.016. Epub 2017 Jun 14.
Treatment of hypoglycemia in children is currently based on plasma glucose measurements. This approach may not ensure neuroprotection since plasma glucose does not reflect the dynamic state of cerebral energy metabolism. To determine whether cerebral metabolic changes during hypoglycemia could be better characterized using plasma metabolomic analysis, insulin-induced acute hypoglycemia was induced in 4-week-old rats. Brain tissue and concurrent plasma samples were collected from hypoglycemic (N=7) and control (N=7) rats after focused microwave fixation to prevent post-mortem metabolic changes. The concentration of 29 metabolites in brain and 34 metabolites in plasma were determined using H NMR spectroscopy at 700MHz and examined using partial least squares-discriminant analysis. The sensitivity of plasma glucose for detecting cerebral energy failure was assessed by determining its relationship to brain phosphocreatine. The brain and plasma metabolite profiles of the hypoglycemia group were distinct from the control group (brain: R=0.92, Q=0.31; plasma: R=0.95, Q=0.74). Concentration differences in glucose, ketone bodies and amino acids were responsible for the intergroup separation. There was 45% concordance between the brain and plasma metabolite profiles. Brain phosphocreatine correlated with brain glucose (control group: R=0.86; hypoglycemia group: R=0.59; p<0.05), but not with plasma glucose. The results confirm that plasma glucose is an insensitive biomarker of cerebral energy changes during hypoglycemia and suggest that a plasma metabolite profile is superior for monitoring cerebral metabolism.
目前儿童低血糖的治疗是基于血浆葡萄糖测量。这种方法可能无法确保神经保护,因为血浆葡萄糖并不能反映脑能量代谢的动态状态。为了确定使用血浆代谢组学分析是否能更好地表征低血糖期间的脑代谢变化,对4周龄大鼠诱导胰岛素所致的急性低血糖。在聚焦微波固定后,从低血糖组(N = 7)和对照组(N = 7)大鼠收集脑组织及同步的血浆样本,以防止死后代谢变化。使用700MHz的核磁共振波谱法测定脑内29种代谢物和血浆中34种代谢物的浓度,并采用偏最小二乘判别分析进行检验。通过确定血浆葡萄糖与脑磷酸肌酸的关系来评估其检测脑能量衰竭的敏感性。低血糖组的脑和血浆代谢物谱与对照组不同(脑:R = 0.92,Q = 0.31;血浆:R = 0.95,Q = 0.74)。葡萄糖、酮体和氨基酸的浓度差异导致了组间分离。脑和血浆代谢物谱之间有45%的一致性。脑磷酸肌酸与脑葡萄糖相关(对照组:R = 0.86;低血糖组:R = 0.59;p<0.05),但与血浆葡萄糖无关。结果证实血浆葡萄糖是低血糖期间脑能量变化的不敏感生物标志物,并表明血浆代谢物谱在监测脑代谢方面更具优势。