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Identification and validation of active ingredient in cerebrotein hydrolysate-I based on pharmacokinetic and pharmacodynamic studies

Huimin Guo, Huizhu Yang, Chanjuan Di, Feng Xu, Hong Sun, Yexin Xu, Huafang Liu, Linlin Wu, Ke Ding, Tingting Zhang, Lin Xie, Guangji Wang and Yan Liang
Drug Metabolism and Disposition September 27, 2023, DMD-AR-2023-001443; DOI: https://doi.org/10.1124/dmd.123.001443
Huimin Guo
1China Pharmaceutical University, China
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Huizhu Yang
1China Pharmaceutical University, China
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Chanjuan Di
2Hebei Zhitong Biopharmaceutical Co., Ltd, China
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Feng Xu
2Hebei Zhitong Biopharmaceutical Co., Ltd, China
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Hong Sun
1China Pharmaceutical University, China
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Yexin Xu
1China Pharmaceutical University, China
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Huafang Liu
1China Pharmaceutical University, China
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Linlin Wu
1China Pharmaceutical University, China
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Ke Ding
1China Pharmaceutical University, China
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Tingting Zhang
1China Pharmaceutical University, China
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Lin Xie
1China Pharmaceutical University, China
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Guangji Wang
1China Pharmaceutical University, China
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  • For correspondence: liangyan0679@163.com
Yan Liang
3Key Lab of Drug Metabolism & Pharmacokinetics, China Pharmaceutical University, China
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  • For correspondence: liangyan0679@163.com
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Abstract

Cerebrotein hydrolysate-1 (CH-1), a mixture of small peptides, polypeptides and various amino acids derived from porcine brain, has been widely used in the treatment of cerebral injury. However, the bioactive composition and pharmacokinetics of CH-1 are still unexplored due to their complex constitutes and extremely low concentrations in vivo. Herein, NanoLC-Orbitrap-Fusion-Lumos-Tribrid-MS/MS was firstly used to qualitatively analyze the components of CH-1. A total of 1347 peptides were identified, of which 43 peptides were characterized by high MS intensity and identification accuracy. We then innovatively synthesized 4 main peptides for activity verification, and the results suggested that Pep72 (NYEPPTVVPGGDL) had the strongest neuroprotective effect on both in vivo and in vitro models. Next, a quantitative method for Pep72 was established based on LC-MS/MS with the aid of Skyline software, and then used in its pharmacokinetic studies. The results revealed that Pep72 had a high elimination rate and low exposure in rats. In addition, hCMEC/D3 based in vitro model was built and firstly used to investigate the transport of Pep72. We found that Pep72 had extremely low blood-brain barrier (BBB) permeability, and was not a substrate of efflux transporters. The biotransformation of Pep72 in rat fresh plasma and tissues was investigated to explore the contradiction between pharmacokinetics and efficacy. A total of 11 main metabolites were structurally identified, with PGGDL and EPPTVPGGDL being the main metabolites of Pep72. Notably, metalloproteinase and cysteine protease were confirmed to be the main enzymes mediating Pep72 metabolism in rat tissues.

Significance Statement NanoLC-Orbitrap-Fusion-Lumos-Tribrid-MS/MS was firstly used to qualitatively analyze the components of CH, and one main peptide Pep72 (NYEPPTVVPGGDL) was innovatively synthesized and firstly found to have the strongest neuroprotective effect among 1347 peptides identified from CH, followed by its pharmacokinetic studies. Our study is the first time to identify and verify the active ingredient of CH from the perspective of pharmacokinetics and pharmacodynamics, and provides a systematic technical platforms and strategies for the active substance research of other protein hydrolysates.

  • blood-brain barrier
  • metalloproteases
  • permeability
  • pharmacokinetics
  • serine proteases
  • Copyright © 2023 American Society for Pharmacology and Experimental Therapeutics
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Drug Metabolism and Disposition: 51 (12)
Drug Metabolism and Disposition
Vol. 51, Issue 12
1 Dec 2023
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PK-PD studies of active ingredient in CH-I

Huimin Guo, Huizhu Yang, Chanjuan Di, Feng Xu, Hong Sun, Yexin Xu, Huafang Liu, Linlin Wu, Ke Ding, Tingting Zhang, Lin Xie, Guangji Wang and Yan Liang
Drug Metabolism and Disposition September 27, 2023, DMD-AR-2023-001443; DOI: https://doi.org/10.1124/dmd.123.001443

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OtherArticle

PK-PD studies of active ingredient in CH-I

Huimin Guo, Huizhu Yang, Chanjuan Di, Feng Xu, Hong Sun, Yexin Xu, Huafang Liu, Linlin Wu, Ke Ding, Tingting Zhang, Lin Xie, Guangji Wang and Yan Liang
Drug Metabolism and Disposition September 27, 2023, DMD-AR-2023-001443; DOI: https://doi.org/10.1124/dmd.123.001443
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