An Integrated Peptidomics and In Silico Approach to Identify Novel Anti-Diabetic Peptides in Parmigiano-Reggiano Cheese

被引:31
|
作者
Martini, Serena [1 ]
Solieri, Lisa [1 ]
Cattivelli, Alice [1 ]
Pizzamiglio, Valentina [2 ]
Tagliazucchi, Davide [1 ]
机构
[1] Univ Modena & Reggio Emilia, Dept Life Sci, I-42100 Reggio Emilia, Italy
[2] Consorzio Formaggio Parmigiano Reggiano, I-42124 Reggio Emilia, Italy
来源
BIOLOGY-BASEL | 2021年 / 10卷 / 06期
关键词
bioactive peptides; type-2-diabetes; enzyme inhibition; mass spectrometry; Parmigiano-Reggiano; peptidomics; integrated screening method; GLYCATION END-PRODUCTS; IV DPP-IV; BIOACTIVE PEPTIDES; INHIBITORY PEPTIDES; DIABETES-MELLITUS; VITRO DIGESTION; DAIRY INTAKE; MILK; FOOD; CAMEL;
D O I
10.3390/biology10060563
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Simple Summary Dietary habits and sedentary lifestyle are widely established to be the major risk factors for the development of long-term chronic conditions, such as type-2 diabetes (T2D). In this framework, where consumer's food choices are even more influenced by an ever-growing awareness on nutritional, environmental, and healthy aspects, the presence and identification of natural bioactive compounds are gaining increasing attention in the scientific community. Pharmacological treatment of T2D is based on the administration of molecules able to inhibit some key enzymes involved in the carbohydrate digestion and insulin secretion. The multiple side-effects of synthetic inhibitors led to an increased demand for natural food-derived anti-diabetic agents. The present work offers a new integrated approach for the identification and selection of new bioactive peptides, able to inhibit the key digestive enzymes implicated in the control of blood glucose level. The novelty lies in the development of a new, quick, and cost-effective integrated methodology supported by confirmed in vitro evidence. In fact, the present work successfully accomplished the identification of two selected candidates with a possible application in the diabetes management. Indeed, the functional and healthy role of Parmigiano-Reggiano cheese in human nutrition was assessed, highlighting its potential anti-diabetic properties. 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 alpha-glucosidase, alpha-amylase, and dipeptidyl peptidase-IV (DPP-IV) 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 alpha-glucosidase inhibitory activities. Peptide APFPE was identified as a potent novel DPP-IV inhibitor (IC50 = 49.5 +/- 0.5 mu mol/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.
引用
收藏
页数:17
相关论文
共 49 条
  • [1] Cheese peptidomics: A detailed study on the evolution of the oligopeptide fraction in Parmigiano-Reggiano cheese from curd to 24 months of aging
    Sforza, S.
    Cavatorta, V.
    Lambertini, F.
    Galaverna, G.
    Dossena, A.
    Marchelli, R.
    JOURNAL OF DAIRY SCIENCE, 2012, 95 (07) : 3514 - 3526
  • [2] Effect of ripening and in vitro digestion on the evolution and fate of bioactive peptides in Parmigiano-Reggiano cheese
    Martini, Serena
    Conte, Angela
    Tagliazucchi, Davide
    INTERNATIONAL DAIRY JOURNAL, 2020, 105 (105)
  • [3] Comparative selection signature analyses identify genomic footprints in Reggiana cattle, the traditional breed of the Parmigiano-Reggiano cheese production system
    Bertolini, F.
    Schiavo, G.
    Bovo, S.
    Sardina, M. T.
    Mastrangelo, S.
    Dall'Olio, S.
    Portolano, B.
    Fontanesi, L.
    ANIMAL, 2020, 14 (05) : 921 - 932
  • [4] A novel approach based on enzymatic hydrolysis for the valorisation of edible Parmigiano Reggiano cheese rinds
    Tedeschi, Tullia
    Prandi, Barbara
    Lolli, Veronica
    Gasparini, Alessandra
    Leni, Giulia
    Loffi, Cecilia
    Nocetti, Marco
    Pizzamiglio, Valentina
    Caligiani, Augusta
    INTERNATIONAL DAIRY JOURNAL, 2022, 134
  • [5] A combined metabolomics and peptidomics approach to discriminate anomalous rind inclusion levels in Parmigiano Reggiano PDO grated hard cheese from different ripening stages
    Rocchetti, Gabriele
    Michelini, Sara
    Pizzamiglio, Valentina
    Masoero, Francesco
    Lucini, Luigi
    FOOD RESEARCH INTERNATIONAL, 2021, 149
  • [6] A new multivariate approach for the optimisation of the simultaneous distillation-extraction technique for free fatty acids using a face centred cube experimental design: application to Parmigiano-Reggiano cheese
    Careri, M
    Mangia, A
    Mori, G
    Musci, M
    ANALYTICA CHIMICA ACTA, 1999, 386 (1-2) : 169 - 180
  • [7] Callus of Mundulea sericea as potential anti-diabetic agents; an in silico approach
    Deepa, Soundararajan
    Prabakaran, Raju
    Joshi, Ashima
    Ibrahim, Kalibulla Syed
    Rajiv, Periakaruppan
    SOUTH AFRICAN JOURNAL OF BOTANY, 2024, 173 : 338 - 346
  • [8] Anti-diabetic potential of Corn silk (Stigma maydis): An in-silico approach
    Chaudhary, Raushan Kumar
    Karoli, Satish S.
    Dwivedi, Prarambh S. R.
    Bhandari, Ramesh
    JOURNAL OF DIABETES AND METABOLIC DISORDERS, 2022, 21 (01) : 445 - 454
  • [9] Anti-diabetic potential of Corn silk (Stigma maydis): An in-silico approach
    Raushan Kumar Chaudhary
    Satish S. Karoli
    Prarambh S. R. Dwivedi
    Ramesh Bhandari
    Journal of Diabetes & Metabolic Disorders, 2022, 21 : 445 - 454
  • [10] Discovery through Machine Learning and Preclinical Validation of Novel Anti-Diabetic Peptides
    Casey, Rory
    Adelfio, Alessandro
    Connolly, Martin
    Wall, Audrey
    Holyer, Ian
    Khaldi, Nora
    BIOMEDICINES, 2021, 9 (03)