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Identification of dipeptidyl peptidase-IV inhibitory peptides from yak bone collagen by in silico and in vitro analysis

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Abstract

The fast development of bioinformatics and various established databases of bioactive peptides provide time-saving and efficient method for identifying bioactive peptides from various proteins. The yak bone collagen is rich in nutrition and have various potential bioactivities, but the study on yak bone collagen as a precursor of antidiabetic peptide has not been reported. In this study, yak bone collagen was first evaluated as a precursor to generate dipeptidyl peptidase-IV (DPP-IV) inhibitory peptides by in silico analysis. After multi-cycles of screening, three peptides (GHR, GIR and MGPR) were screened out and synthesized to evaluate their inhibitory activities in vitro. Among the three peptides, MGPR had the best inhibitory effect on DPP-IV with IC50 of 0.490 ± 0.012 mM. Further cell test verified that MGPR could ameliorate glucosamine-induced glucose uptake reduction in HepG2 cells. These results suggested that yak bone collagen could be applied as a good precursor for antidiabetic peptides. This study would further broaden the application of yak bone collagen in the fields of the food and pharmaceuticals industry.

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Acknowledgements

This work was supported by Postdoctoral Science Foundation of Jiangsu Province (2021K269B), the National Key Research & Developmental Program of China (2021YFC2100300), China Agriculture Research System of Finance and Agriculture Ministry (No. CARS-11-HNSHY), and Central Public-interest Scientific Institution Basal Research Fund for Chinese Academy of Tropical Agricultural Sciences (No. 1630052021012, 1630052020023, 1630052020024).

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Authors and Affiliations

  1. National Engineering Research Center of Cereal Fermentation and Food Biomanufacturing, Jiangnan University, Wuxi, 214122, China

    Chunyu Liu, Zitao Guo, Yuliang Yang, Lingyu Zhu, Moying Li, Zhenghua Gu, Yu Xin & Liang Zhang

  2. Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, 214122, China

    Chunyu Liu, Zitao Guo, Yuliang Yang, Lingyu Zhu, Moying Li, Zhenghua Gu, Yu Xin & Liang Zhang

  3. National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, 214122, China

    Bo Hu

  4. Hainan Key Laboratory of Tropical Microbe Resources, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101, China

    Haiyan Sun

  5. China National Research Institute of Food and Fermentation Industries Co., Ltd., Beijing, 100015, China

    Yanming Guan

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  1. Chunyu Liu
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  2. Zitao Guo
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  11. Liang Zhang
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Contributions

CL, methodology, investigation, data curation, writing—original draft, project administration; YY, BH, LZ, ML, methodology, investigation, data curation; ZG, YX, ZG, HS, YG, LZ, conceptualization, writing—review and editing, supervision. All authors contributed to discussion and review of the manuscript.

Corresponding authors

Correspondence to Zitao Guo or Liang Zhang.

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Liu, C., Guo, Z., Yang, Y. et al. Identification of dipeptidyl peptidase-IV inhibitory peptides from yak bone collagen by in silico and in vitro analysis. Eur Food Res Technol 248, 3059–3069 (2022). https://doi.org/10.1007/s00217-022-04111-x

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  • DOI: https://doi.org/10.1007/s00217-022-04111-x

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