食品科学

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网络方法在食品体内功能定量化评价中的应用

庞广昌,陈庆森,胡志和,解军波,马丽娜   

  1. 1.天津商业大学生物技术与食品科学学院,天津市食品生物技术重点实验室,天津 300134;
    2.天津商业大学理学院,天津 300134
  • 出版日期:2014-07-15 发布日期:2014-07-18

Quantitative Evaluation of Functional Foods by Network Methods in vivo

PANG Guang-chang, CHEN Qing-sen, HU Zhi-he, XIE Jun-bo, MA Li-na   

  1. 1. Tianjin Key Laboratory of Food Biotechnology, College of Biotechnology and Food Science, Tianjin University of Commerce,
    Tianjin 300134, China; 2. College of Science, Tianjin University of Commerce, Tianjin 300134, China
  • Online:2014-07-15 Published:2014-07-18

摘要:

食品的功能性评价一直以来充满争议,这主要是因为离体实验和动物实验到底在多大程度上代表人体功能?人和人之间尚存在差异,动物的功能性实验结果当然很难供人体参考。之所以不能用人来做食品的功能实验,主要是因为功能性食品的评价主要照搬了医药学方法,医药药效和功能评价往往需要致病模型,而食品的目的是为了维护机体健康而不是为了治病。另一个关键性问题是如何对食用功能性食品后体内的生理变化进行定量化评价。本文围绕这些问题对相关领域的研究进展进行了综述和评价,强调了网络方法在定量化评价复杂非线性问题中的重要作用。结合有关体内细胞间无线通讯网络、代谢网络及其通量控制分析研究进展提出:机体内细胞间无线通讯网络和代谢网络都属于有向加权网络,是目前研究的热门领域:生物大分子互作网络,亦即无向无权网络的扩展形式。网络模型可以提供多种参数,从不同的角度定量化刻画食品所引起的体内细胞间无线通讯网络和围绕中心代谢途径所形成的代谢网络的变化,从而定量化评价功能性食品的体内生物功能。这些测定可以通过采集几毫升外周血进行,所以适用于通过志愿者进行的体内实验。

关键词: 功能性食品, 定量化评价, 有向加权网络, 细胞间无线通讯网络, 代谢网络

Abstract:

The functional evaluation of food has long been controversial, mainly because whether the results from animal
experiments and methods in vitro exactly represent the functions in human body. Even among human individuals, there
are obvious differences, so the results of animals experiment certainly cannot provide valuable references for humans. The
reason for the limited availability of human subjects for functional evaluation of foods mainly lies in the fact that the existing
evaluation methods for functional foods are mainly derived from medicinal practices and pathogenic animal models are
often required to evaluate the functionality and efficacy of oral medicinal products, despite the health rather than therapeutic
purposes of foods. Another key problem is how to quantitatively evaluate the physiological changes in vivo for the functions
of functional foods. In this paper, a review about these areas is made, and the network methods are emphasized for their
important role in quantitative evaluation of complex and nonlinear problems. The wireless cell-cell communication networks
and metabolic networks which belonged to the directed and weighted networks are reviewed as well as flux control analysis.
Biomacromolecule interaction networks as the expanded forms of the undirected and unweighted networks are currently a
hot research area. By these networks one can calculate various parameters to quantitatively characterize the complex and
nonlinear physiological effects of wireless communication network and the metabolic networks formed around the central
metabolic pathways in vivo. It is concluded that network methods, particularly the metabolic network and intercellular
wireless network methods will play an important role in quantitative evaluation of functional foods in vivo using only a few
milliliters of peripheral blood from volunteers.

Key words: functional foods, quantitative evaluation, directed and weighted networks, intercellular wireless communication network, metabolic network