食品科学

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乳酸盐通量及其控制分析:食品功能的定量化评价方法

李 阳,王兴亚,王茜茜,庞广昌*   

  1. 天津市食品生物技术重点实验室,天津商业大学生物技术与食品科学学院,天津 300134
  • 出版日期:2015-01-15 发布日期:2015-01-16

Lactate Metabolic Flux Analysis and Metabolic Control Analysis: Quantitative Evaluation Method of Functional Foods

LI Yang, WANG Xingya, WANG Xixi, PANG Guangchang*   

  1. Tianjin Key Laboratory of Food Biotechnology, College of Biotechnology and Food Science, Tianjin University of Commerce,Tianjin 300134, China
  • Online:2015-01-15 Published:2015-01-16

摘要:

目的:食品对机体的影响主要表现为对代谢和代谢网络的影响,本实验旨在研究食品对机体代谢作用的定量化评价方法。方法:通过对志愿者外周血采样,首先研究4 种生理状态(基础状态、学习状态、运动状态和发烧状态)下,乳酸盐代谢通量的变化,同时研究中心代谢途径中的15 种酶对乳酸盐代谢通量的控制作用;采用相关分析和主成分分析相结合的方法,研究酶的表达(或合成)量对乳酸盐代谢通量的作用,确定主成分及各种酶的控制系数。另招募健康志愿者,采集其食用大米变性淀粉前后的外周血样,运用已建立的代谢通量模型及控制分析方法对变性淀粉的功能性进行评价。结果:4 种状态下乳酸盐代谢通量各不相同,由小到大依次为:基础状态、学习状态、运动状态和发烧状态,4 种生理状态下机体内的分解代谢依次增强,可见乳酸盐代谢通量实质上反映了机体分解代谢(氧化磷酸化供能)的强弱。丙酮酸激酶(pyruvate kinase,PK,CpPK=0.221 6),丙酮酸脱氢酶复合物(pyruvatedehydrogenase complex,PDHC,CpPDHC=0.206 4),乳酸脱氢酶(lactate dehydrogenase,LDH,CpLDH=0.162 6),转酮酶(transketolase,TKL,CpTKL=0.206 0)对乳酸盐代谢通量起到主要作用,其中,PK的控制作用最强。志愿者食用变性淀粉后,乳酸盐通量增强,分解代谢增强而合成代谢减弱;PK的基因表达(合成)量显著增加(P=0.01<0.05),PDHC的基因表达(合成)量极显著降低(P=0.003<0.01),说明所测酶的表达量与所预测的乳酸盐通量之间的拟合程度较好。结论:本实验建立的评价方法可以通过采集适量的外周血对食用食品后的人体代谢作用进行定量化评价。

关键词: 功能性食品, 评价方法, 生理状态, 乳酸盐代谢通量, 代谢控制分析

Abstract:

The effects of food on the body are mediated mainly through its influence on the metabolic and metabolic
networks after being ingested and absorbed. This study aimed to develop a new experimental method to quantitatively
evaluate the effects of food on metabolic and metabolic networks. Peripheral blood samples were collected from volunteers
with four kinds of physiological states including basic state (or sleeping state), learning state, motion state and fever state,
and their changes in lactate metabolic flux were studied as well as the role of 15 enzymes involved in the central metabolic
pathways in controlling lactate metabolic flux. The results indicated that lactate metabolic flux in the four states were quite
different, following the increasing order: basic, learning, motion and fever, which was consistent with that observed for
the catabolism. A combination of correlation analysis and principal component analysis was used to determine the control
coefficient of lactate metabolic flux. The results showed that pyruvate kinase (PK, CpPK = 0.221 6), pyruvate dehydrogenase
complex (PDHC, CpPDHC = 0.206 4), lactate dehydrogenase (LDH, CpLDH = 0.162 6), transketolase (TKL, CpTKL = 0.206 0)
played major roles in controlling lactate metabolic flux, among which, PK played the most important role. Peripheral
blood samples collected from healthy volunteers before and after eating modified rice starch were then analyzed by
applying the experimental methods mentioned above and the results indicated that lactate flux was obviously enhanced
after eating modified starch as compared with that before eating and as the same effect was observed on the catabolism.
On the contrary, the anabolism decreased. PK gene expression was significantly increased (P = 0.01) whereas PDHC gene
expression (synthetic) was significantly reduced (P = 0.003). The present study showed that the gene expression profiles of
enzymes were fitted with the predicted lactate flux well. These results have demonstrated that this method could be used to
quantitatively evaluate the effects of food on metabolism by collecting appropriate peripheral blood samples after eating it.

Key words: functional foods, evaluation methodology, physiological states, lactate metabolic flux, metabolic control analysis

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