An integrated peptidomics and in silico approach to identify novel anti-diabetic peptides in parmigiano-reggiano cheese
Articolo
Data di Pubblicazione:
2021
Citazione:
An integrated peptidomics and in silico approach to identify novel anti-diabetic peptides in parmigiano-reggiano cheese / Martini, S.; Solieri, L.; Cattivelli, A.; Pizzamiglio, V.; Tagliazucchi, D.. - In: BIOLOGY. - ISSN 2079-7737. - 10:6(2021), pp. 1-17. [10.3390/biology10060563]
Abstract:
Inhibition of key metabolic enzymes linked to type-2-diabetes (T2D) by food-derived compounds is a preventive emerging strategy in the management of T2D. Here, the impact of Parmigiano- Reggiano (PR) cheese peptide fractions, at four different ripening times (12, 18, 24, and 30 months), on the enzymatic activity of α-glucosidase, α-amylase, and dipeptidyl peptidase-IV (DPPIV) as well as on the formation of fluorescent advanced glycation end-products (fAGEs) was assessed. The PR peptide fractions were able to inhibit the selected enzymes and fAGEs formation. The 12-month-ripening PR sample was the most active against the three enzymes and fAGEs. Mass spectrometry analysis enabled the identification of 415 unique peptides, 54.9% of them common to the four PR samples. Forty-nine previously identified bioactive peptides were found, mostly characterized as angiotensin-converting enzyme-inhibitors. The application of an integrated approach that combined peptidomics, in silico analysis, and a structure–activity relationship led to an efficient selection of 6 peptides with potential DPP-IV and α-glucosidase inhibitory activities. Peptide APFPE was identified as a potent novel DPP-IV inhibitor (IC50 = 49.5 ± 0.5 μmol/L). In addition, the well-known anti-hypertensive tripeptide, IPP, was the only one able to inhibit the three digestive enzymes, highlighting its possible new and pivotal role in diabetes management.
Tipologia CRIS:
Articolo su rivista
Keywords:
Bioactive peptides; Enzyme inhibition; Integrated screening method; Mass spectrometry; Parmigiano-Reggiano; Peptidomics; Type-2-diabetes
Elenco autori:
Martini, S.; Solieri, L.; Cattivelli, A.; Pizzamiglio, V.; Tagliazucchi, D.
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