| Literature DB >> 28234319 |
Nuria Prieto1, Carmen Burbano2, Elisa Iniesto3, Julia Rodríguez4, Beatriz Cabanillas5, Jesus F Crespo6, Mercedes M Pedrosa7, Mercedes Muzquiz8, Juan Carlos Del Pozo9, Rosario Linacero10, Carmen Cuadrado11.
Abstract
Food allergies to hazelnut represent an important health problem in industrialized countries because of their high prevalence and severity. Food allergenicity can be changed by several processing procedures since food proteins may undergo modifications which could alter immunoreactivity. High-hydrostatic pressure (HHP) is an emerging processing technology used to develop novel and high-quality foods. The effect of HHP on allergenicity is currently being investigated through changes in protein structure. Our aim is to evaluate the effect of HHP on the protein profile of hazelnut immunoreactive extracts by comparative proteomic analysis with ProteomeLab PF-2D liquid chromatography and mass spectrometry. This protein fractionation method resolves proteins by isoelectric point and hydrophobicity in the first and second dimension, respectively. Second dimension chromatogram analyses show that some protein peaks present in unpressurized hazelnut must be unsolubilized and are not present in HHP-treated hazelnut extracts. Our results show that HHP treatment at low temperature induced marked changes on hazelnut water-soluble protein profile.Entities:
Keywords: ProteomeLab PF-2D; hazelnut; high hydrostatic pressure; immunoreactivity
Year: 2014 PMID: 28234319 PMCID: PMC5302363 DOI: 10.3390/foods3020279
Source DB: PubMed Journal: Foods ISSN: 2304-8158
Figure 1Scheme of high hydrostatic pressure (HHP) treatment of hazelnut samples.
Figure 2(a) SDS-PAGE patterns of supernatant and flour protein extract from control and processed hazelnuts samples and (b) IgE immunoblot analysis of control and processed hazelnut samples with a serum pool from subjects with specific IgE to hazelnut (31.3 kU/L).
Figure 3Chromatographic analysis of hazelnut proteins using ProteomeLab PF-2D: (a) Chromatofocusing of total proteins separated by pH gradient 8.0–4.0. Fraction number 29 of control and 34 of HHP hazelnut were fractionated in the second dimension. (b) High performance reverse phase chromatography, fractions are separated by hydrophobicity. Proteins contained in peaks marked P1, P2 and P3 were separated by SDS-PAGE for subsequent MS analyses to determine their identity.
Figure 4SDS-PAGE of the different fractions collected and concentrated (P1, P2 and P3) from the second dimension chromatography column (HPRP) of control hazelnut (a) and HHP 600 MPa hazelnut (b). Proteins were visualized by Coomassie Blue. The rectangles indicate the protein bands that were identified by MS analysis.
Proteins separated by ProteomeLab PF-2D from raw hazelnuts and identified by MALDI-TOF/MS.
| Band No. | No. access | Protein identification | Mascot score * | Mass (Da) | Matched peptides |
|---|---|---|---|---|---|
| 1 | gi|18479082 | 11S globulin-like protein | 73 | 59,605 | 12 |
| 2 | gi|18479082 | 11S globulin-like protein | 161 | 59,605 | 19 |
| 3 | gi|18479082 | 11S globulin-like protein | 136 | 59,605 | 6 |
| 4 | gi|18479082 | 11S globulin-like protein | 187 | 59,605 | 20 |
| 5 | gi|19338630 | 48-kDa glycoprotein precursor ( | 199 | 51,110 | 21 |
| 6 | gi|18479082 | 11S globulin-like protein | 218 | 59,605 | 13 |
| 7 | gi|19338630 | 48-kDa glycoprotein precursor ( | 256 | 51,110 | 24 |
| 8 | gi|18479082 | 11S globulin-like protein | 65 | 59,605 | 11 |
| 9 | gi|19338630 | 48-kDa glycoprotein precursor ( | 199 | 51,110 | 21 |
* Protein scores greater than 42 are significant (p < 0.05). Protein score is −10 × Log (P), where P is the probability that the observed match is a random event.
Proteins separated by ProteomeLab PF-2D from hazelnuts HHP 600 MPa and identified by MALDI-TOF/MS.
| Band No. | No. access | Protein identification | Mascot score * | Mass (Da) | Matched peptides |
|---|---|---|---|---|---|
| 4′ | gi|18479082 | 11S globulin-like protein | 205 | 59,605 | 10 |
| 7′ | gi|19338630 | 48-kDa glycoprotein precursor ( | 194 | 51,110 | 21 |
* Protein scores greater than 42 are significant (p < 0.05). Protein score is −10 × Log (P), where P is the probability that the observed match is a random event.