| Literature DB >> 28117676 |
Yanjuan Zhai1, Zhenhua Zhu2, Yue Zhu3, Dawei Qian4, Rui Liu5, Yunru Peng6, Yuhua Ding7, Zhen Ouyang8, Jin-Ao Duan9.
Abstract
First documented in Shennong Bencao Jing (about 200 B.C.-200 A.D.), Elaphuri Davidiani Cornu (EDC) has been recorded for its effects in strengthening bones and balancing other aspects of overall health for approximately 2000 years. In the present study, our aim was to investigate which are the components of the active EDC fraction by a peptidomic strategy. We explored the extent to which EDC increases the proliferation of osteoblasts by measuring the elevations in osteonectin and type I collagen mRNA levels and characterized it using nano-flow liquid chromatography in tandem with orbitrap mass spectrometry. In total, 272 peptide sequences from collagens were determined. "Hot regions" in parent proteins determined by peptide heat maps which indicated that amino acid sequences in the regions might undergo proteolysis easily and generate peptides. Among the identified peptides, 90.2% were hydrophilic, and the molecular weight of 97.1% of identified peptides was lower than 2000 Da. According to these results, EDC collagen-derived peptides were easily analyzed and identified. Moreover, this methodology is feasible to characterize the active peptides matrices originated from collagen hydrolysates or some other animal horn- derived TCMs.Entities:
Keywords: Elaphuri Davidiani Cornu; collagen peptide; nano-liquid chromatography-mass spectrum detection; osteoblast
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Year: 2017 PMID: 28117676 PMCID: PMC6155669 DOI: 10.3390/molecules22010166
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1Proliferation of cultured osteoblasts induced by dexamethasone (Dex) and vitamin C (Vit. C), and by Elaphuri Davidiani Cornu (EDC) fraction. (A) Cell viability of osteoblasts; (B) Total mRNA levels of bone differentiation markers: type I collagen and osteonectin were quantified. Data were expressed as the fold of basal value (x basal) where the control value is set as 100% and 1 respectively, Mean ± SEM, n = 3. * p < 0.05, ** p < 0.01.
Figure 2Identification of peptides based on the MS/MS spectra. (A) Amino acid sequence of the peptide and its MS/MS ions series, b ions and y ions were marked on the sequence of peptides; (B) Amino acid sequence calculated by de novo sequencing algorithm using PEAKS software; (C) Error of the ions. The mid line represents theoretical values of the ions, red spots represent the position of y ions, and blue spots represent the position of b ions. All errors are lower than 0.02 Da.
Figure 3(A) Occurrence of the amino acids in all identified peptides; (B) Grand average of hydropathicity (GRAVY) index value of the identified peptides. GRAVY index values lower than 0 represent that the peptides possess hydrophilic properties; (C) Molecular weight (MW) distribution of the identified peptides. All of the value based on the total number of peptides.
Figure 4Heat maps of collagens. Heat maps graphically displaying the occurrence of the different amino acids in the primary sequence of the parent protein of the identified peptides. Blue regions indicate low occurrence; red regions indicate frequently appearing residues.
Figure 5Sequence of collagen α-2(I) (P02465|CO1A2_BOVIN Collagen α-2(I) chain) and the distribution of identified peptides. (#) Post-translational modification of proteins in collagen α-2(I), “c”: carbamidomethylation; orange “d”: dihydroxy; brown “d”: deamidation; pink “h”: hydroxylation; and green “h”: heptose.