Marker peptide combination for source identification of gelatins obtained from Equidae hides by LC–MS/MS detection

Guo, Shangwei; Deng, Guiya; Duan, Xiongying; Zhou, Xiangshan; Huang, Yaqin

doi:10.1016/j.polymertesting.2020.106576

Cited by 10 publications

(6 citation statements)

References 29 publications

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“…The peptide ISVPGPMGPSGPR (1 × Oxidation[M7]) had the largest PSM value, meaning it was the highest in relative abundance in gelatin hydrolysates. A marker peptide SGQPGTVGPAGVR unique to equine skins (horses, donkeys, and their hybrids) compared to cow hides and pig skins was also identified in this study, which was consistent with the previous study …”

Section: Resultssupporting

confidence: 92%

“…A marker peptide SGQPGTVGPAGVR unique to equine skins (horses, donkeys, and their hybrids) compared to cow hides and pig skins was also identified in this study, which was consistent with the previous study. 27 Physicochemical Properties Prediction and Molecular Docking of the Gelatin-Derived Peptides. The solubility of the hydrolysates increased after the proteins were hydrolyzed into lower-molecular-weight peptides.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

“…Subsequently, the precursor ions meeting the MS/MS fragmentation conditions were cracked by higher-energy C-trap dissociation (HCD) in 2 s at 30% normalized collision energy. The MS/MS was performed over the range of 110–2000 m / z with 1.5 × 10 4 resolution, and the AGC was set to 1.0 × 10 5 with a maximum ion time of 100 ms and a dynamic exclusion of 15 s. − …”

Section: Methodsmentioning

confidence: 99%

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Identification and Molecular Mechanism of Novel Immunomodulatory Peptides from Gelatin Hydrolysates: Molecular Docking, Dynamic Simulation, and Cell Experiments

Wang

Shuian

et al. 2023

J. Agric. Food Chem.

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The purpose of this study was to identify donkey-hide gelatin-derived immunomodulatory peptides targeting Toll-like receptor 4-myeloid differentiation 2 (TLR4-MD2) and elucidate their binding modes using physicochemical property prediction, molecular docking, molecular dynamics simulations, and in vitro cell experiments. After hydrolyzing gelatin, 519 peptides were identified by liquid chromatography–tandem mass spectrometry. Peptides VQLSGEEK and GFSGLDGAKG bound to TLR4-MD2 with high binding affinity. In TLR4-MD2, Arg90, Ser118, Phe126, Tyr131, and Arg264 were key residues involved in the binding of these peptides. The RMSD and R g values demonstrated that VQLSGEEK-TLR4-MD2 and GFSGLDGAKG-TLR4-MD2 complexes had stable and compact conformations. VQLSGEEK and GFSGLDGAKG were found to increase the cell viability and phagocytic activity of RAW264.7 macrophages; significantly promote the production of cytokines TNF-α, IL-1β, and IL-6 in cells; and inhibit the overproduction of nitric oxide (NO) and cytokines in lipopolysaccharide (LPS)-induced RAW264.7 cells. Our results provided preliminary evidence that VQLSGEEK and GFSGLDGAKG could function as two-way immunomodulatory peptides with immunostimulatory and anti-inflammatory activities.

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Section: Resultssupporting

confidence: 92%

Section: ■ Results and Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Identification and Molecular Mechanism of Novel Immunomodulatory Peptides from Gelatin Hydrolysates: Molecular Docking, Dynamic Simulation, and Cell Experiments

Wang

Shuian

et al. 2023

J. Agric. Food Chem.

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“…We also checked the specificity of the reported donkey-specific markers ( Table 2 ). There are 32 reported donkey-specific markers in total [ 21 , 22 , 23 , 24 , 25 , 26 , 27 ]. We found 20 of them in donkey and horse gelatins, and the remaining 12 markers showed too low intensities to be detected in any animal gelatins.…”

Section: Resultsmentioning

confidence: 99%

Qualitative and Quantitative Analysis of Ejiao-Related Animal Gelatins through Peptide Markers Using LC-QTOF-MS/MS and Scheduled Multiple Reaction Monitoring (MRM) by LC-QQQ-MS/MS

Fung

et al. 2022

Molecules

Self Cite

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Donkey-hide gelatin, also called Ejiao (colla corii asini), is commonly used as a food health supplement and valuable Chinese medicine. Its growing popular demand and short supply make it a target for fraud, and many other animal gelatins can be found as adulterants. Authentication remains a quality concern. Peptide markers were developed by searching the protein database. However, donkeys and horses share the same database, and there is no specific marker for donkeys. Here, solutions are sought following a database-independent strategy. The peptide profiles of authentic samples of different animal gelatins were compared using LC-QTOF-MS/MS. Fourteen specific markers, including four donkey-specific, one horse-specific, three cattle-specific, and six pig-specific peptides, were successfully found. As these donkey-specific peptides are not included in the current proteomics database, their sequences were determined by de novo sequencing. A quantitative LC-QQQ multiple reaction monitoring (MRM) method was further developed to achieve highly sensitive and selective analysis. The specificity and applicability of these markers were confirmed by testing multiple authentic samples and 110 batches of commercial Ejiao products, 57 of which were found to be unqualified. These results suggest that these markers are specific and accurate for authentication purposes.

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“…The most abundant protein in animal hides is type I collagen, which consists of two α1 (I) chains and one α2 (I) chain. , At the same time, enzymatic peptide biomarkers have been successfully applied to differentitate different gelatins in Chinese medicine, such as porcine gelatin (PG), tilapia scale, bovine-hide gelatin (BHG), and deer-hide gelatin. ,− However, the highly homologous animal hide glue products are difficult to distinguish, such as donkey, horse, and mule, , because of the similar protein sequences and denatured peptides in highly processed products.…”

Section: Introductionmentioning

confidence: 99%

Identification of Five Gelatins Based on Marker Peptides from Type I Collagen by Mass Spectrum in Multiple Reaction Monitoring Mode

Yang

et al. 2023

J. Agric. Food Chem.

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In this study, a novel pseudo-targeted peptidomics strategy, integrating the transition list generated by an in-house software (Pep-MRMer) and the retention time transfer by high-abundance ion-based retention time calibration (HAI-RT-cal), was developed to screen marker peptides of gelatins from five closely related animal species, including porcine, bovine, horse, mule, and donkey. Five marker peptides were screened from the molecular phenotypic differences of type I collagen. Furthermore, a simple and robust 10 min multiple reaction monitoring (MRM) method was established and performed well in distinguishing different gelatins, particularly in discerning horse-hide gelatin (HHG) and mule-hide gelatin (MHG) from donkey-hide gelatin (DHG). The market investigation revealed the serious adulteration of DHG. Meantime, the pseudo-targeted peptidomics could be used to screen marker peptides of other gelatin foods.

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Marker peptide combination for source identification of gelatins obtained from Equidae hides by LC–MS/MS detection

Cited by 10 publications

References 29 publications

Identification and Molecular Mechanism of Novel Immunomodulatory Peptides from Gelatin Hydrolysates: Molecular Docking, Dynamic Simulation, and Cell Experiments

Identification and Molecular Mechanism of Novel Immunomodulatory Peptides from Gelatin Hydrolysates: Molecular Docking, Dynamic Simulation, and Cell Experiments

Qualitative and Quantitative Analysis of Ejiao-Related Animal Gelatins through Peptide Markers Using LC-QTOF-MS/MS and Scheduled Multiple Reaction Monitoring (MRM) by LC-QQQ-MS/MS

Identification of Five Gelatins Based on Marker Peptides from Type I Collagen by Mass Spectrum in Multiple Reaction Monitoring Mode

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