In Vivo Atlas of Neuroprotective Cyclic Dipeptides Derived from Food Gelatin Using Peptidomics and Feature-Based Molecular Networking

Food gelatin is widely used in the food industry, yet its <i>in vivo</i> active substances remain unclear. This study proposes a strategy for <i>in vivo</i> research on donkey-hide gelatin that integrates peptidomics, feature-based molecular networks (FBMN), and targeted spatiotemporal metabolomics to address the above issues. Peptidomics based on database searching revealed a time-dependent decrease in peptide numbers and an increase in oligopeptide ratios in the small intestine over 24 h, with oligopeptides increasing from 50 to 100%. FBMN visualization in serum allowed the first identification of cyclodipeptides (CDPs) originating from gelatin. Targeted metabolomics detected 35 CDPs in serum, with 12 proline/hydroxyproline-CDPs being particularly abundant. Spatiotemporal analysis revealed different distributions of CDPs in the gastrointestinal and serum, and they showed prolonged retention <i>in vivo</i>. Twelve proline/hydroxyproline-CDPs displayed neuroprotective effects in HT-22 cells, with cyclo(Hyp-Ala) showing the highest efficacy. This study presents a strategy for identifying exogenous bioactives in complex matrices, applicable to other food proteins.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2025-10-22
DOI
https://doi.org/10.1021/acs.jafc.5c08112
Primary Topic
Protein Hydrolysis and Bioactive Peptides
Type
article
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article

In Vivo Atlas of Neuroprotective Cyclic Dipeptides Derived from Food Gelatin Using Peptidomics and Feature-Based Molecular Networking

Haoyuan Zeng, Yanmin Zhang, Jian‐Lin Wu, Lanjia Ao et al.
Journal of Agricultural and Food Chemistry
Protein Hydrolysis and Bioactive Peptides
article

In Vivo Atlas of Neuroprotective Cyclic Dipeptides Derived from Food Gelatin Using Peptidomics and Feature-Based Molecular Networking

Haoyuan Zeng, Yanmin Zhang, Jian‐Lin Wu, Lanjia Ao, Yujie Li, Na Li, Pingping Dong, Haibo Zou, Jing Leng
article en

Abstract

Food gelatin is widely used in the food industry, yet its <i>in vivo</i> active substances remain unclear. This study proposes a strategy for <i>in vivo</i> research on donkey-hide gelatin that integrates peptidomics, feature-based molecular networks (FBMN), and targeted spatiotemporal metabolomics to address the above issues. Peptidomics based on database searching revealed a time-dependent decrease in peptide numbers and an increase in oligopeptide ratios in the small intestine over 24 h, with oligopeptides increasing from 50 to 100%. FBMN visualization in serum allowed the first identification of cyclodipeptides (CDPs) originating from gelatin. Targeted metabolomics detected 35 CDPs in serum, with 12 proline/hydroxyproline-CDPs being particularly abundant. Spatiotemporal analysis revealed different distributions of CDPs in the gastrointestinal and serum, and they showed prolonged retention <i>in vivo</i>. Twelve proline/hydroxyproline-CDPs displayed neuroprotective effects in HT-22 cells, with cyclo(Hyp-Ala) showing the highest efficacy. This study presents a strategy for identifying exogenous bioactives in complex matrices, applicable to other food proteins.

Journal of Agricultural and Food ChemistryVol. 73(45)
Macau University of Science and Technology (MO), Guangxi Medical University (CN), University of Macau (MO), State Administration of Traditional Chinese Medicine of the People's Republic of China (CN), Guangxi University of Chinese Medicine (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 73%
Protein Hydrolysis and Bioactive Peptides
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