食品科学 ›› 2020, Vol. 41 ›› Issue (7): 315-321.doi: 10.7506/spkx1002-6630-20190211-044

• 专题论述 • 上一篇    下一篇

食源二肽基肽酶IV抑制剂的研究进展

赵蕊,姚鑫淼,周野,管立军,张英蕾,李哲滨,沈卉芳,崔怡娟,卢淑雯   

  1. (黑龙江省农业科学院食品加工研究所,黑龙江 哈尔滨 150086)
  • 出版日期:2020-04-15 发布日期:2020-04-20
  • 基金资助:
    黑龙江省农业科学院院级科研项目(2018YYYF016);黑龙江省农业科学院引进博士人员科研启动金项目(201507-46)

Recent Advances and Future Prospects of Food-Derived Dipeptidyl Peptidase IV Inhibitors

ZHAO Rui, YAO Xinmiao, ZHOU Ye, GUAN Lijun, ZHANG Yinglei, LI Zhebin, SHEN Huifang, CUI Yijuan, LU Shuwen   

  1. (Food Processing Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China)
  • Online:2020-04-15 Published:2020-04-20

摘要: 糖尿病是世界上最严重的代谢类疾病之一,二肽基肽酶IV(dipeptidyl peptidase IV,DPP-IV)抑制剂是一种有效治疗II型糖尿病的药物。食源肽是DPP-IV抑制剂的潜在来源,可能有辅助控制血糖水平的作用。本文对食源DPP-IV抑制肽的获得方式、常规研究路线、结构特征和抑制机制进行了综述,并探讨了生物信息学方法(即肽剪切、分子对接、定量构效关系)在DPP-IV抑制肽研究中的应用及其局限性。本文也对食源DPP-IV抑制肽用作功能性食品配料以辅助调节血糖所需要的进一步研究进行了展望。

关键词: 二肽基肽酶抑制肽, 蛋白水解物, 肽剪切, 分子对接, 定量构效关系

Abstract: Diabetes is considered as one of the most serious metabolic diseases in the world. Inhibitors of dipeptidyl peptidase IV (DPP-IV) have been testified as an effective pharmaceutical approach for the management of type II diabetes. Food-derived peptides have been suggested as promising sources of DPP-IV inhibitors with the potential to help manage glycemic levels. This review summarizes recent progress in the production, conventional research approaches, structural characteristics and modes of action of food-derived DPP-IV inhibitors. The applications of bioinformatics analysis (i.e., peptide cutter, molecular docking and quantitative structure activity relationship (QSAR)) in the field of DPP-IV inhibitory peptides are reviewed herein and their limitations are outlined. Furthermore, further studies are proposed on the application of food-derived DPP-IV as a functional food ingredient to help manage glycemic levels.

Key words: dipeptidyl peptidase IV (DPP-IV) inhibitory peptide, protein hydrolysate, peptide cutter, molecular docking, quantitative structual activity relationship (QSAR)

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