Mason G F, Gruetter R, Rothman D L, Behar K L, Shulman R G, Novotny E J
Department of Molecular Biophysics & Biochemistry, Yale University School of Medicine, New Haven, Connecticut.
J Cereb Blood Flow Metab. 1995 Jan;15(1):12-25. doi: 10.1038/jcbfm.1995.2.
13C isotopic tracer data previously obtained by 13C nuclear magnetic resonance in the human brain in vivo were analyzed using a mathematical model to determine metabolic rates in a region of the human neocortex. The tricarboxylic acid (TCA) cycle rate was 0.73 +/- 0.19 mumol min-1 g-1 (mean +/- SD; n = 4). The standard deviation reflects primarily intersubject variation, since individual uncertainties were low. The rate of alpha-ketoglutarate/glutamate exchange was 57 +/- 26 mumol min-1 g-1 (n = 3), which is much greater than the TCA cycle rate; the high rate indicates that alpha-ketoglutarate and glutamate are in rapid exchange and can be treated as a single combined kinetic pool. The rate of synthesis of glutamine from glutamate was 0.47 mumol min-1 g-1 (n = 4), with 95% confidence limits of 0.139 and 3.094 mumol min-1 g-1; individual uncertainties were biased heavily toward high synthesis rates. From the TCA cycle rate the brain oxygen consumption was estimated to be 2.14 +/- 0.48 mumol min-1 g-1 (5.07 +/- 1.14 ml 100 g-1 min-1; n = 4), and the rate of brain glucose consumption was calculated to be 0.37 +/- 0.08 mumol min-1 g-1 (n = 4). The sensitivity of the model to the assumptions made was evaluated, and the calculated values were found to be unchanged as long as the assumptions remained near reported physiological values.
利用数学模型对先前通过¹³C核磁共振在人类活体大脑中获得的¹³C同位素示踪数据进行分析,以确定人类新皮质区域的代谢率。三羧酸(TCA)循环速率为0.73±0.19μmol min⁻¹ g⁻¹(平均值±标准差;n = 4)。标准差主要反映个体间差异,因为个体不确定性较低。α-酮戊二酸/谷氨酸交换速率为57±26μmol min⁻¹ g⁻¹(n = 3),远高于TCA循环速率;高速率表明α-酮戊二酸和谷氨酸快速交换,可视为一个单一的联合动力学池。由谷氨酸合成谷氨酰胺的速率为0.47μmol min⁻¹ g⁻¹(n = 4),95%置信限为0.139和3.094μmol min⁻¹ g⁻¹;个体不确定性严重偏向高合成速率。根据TCA循环速率,估计脑氧消耗量为2.14±0.48μmol min⁻¹ g⁻¹(5.07±1.14 ml 100 g⁻¹ min⁻¹;n = 4),计算出脑葡萄糖消耗速率为0.37±0.08μmol min⁻¹ g⁻¹(n = 4)。评估了模型对所做假设的敏感性,发现只要假设保持在接近报告的生理值范围内,计算值就不会改变。