Literature DB >> 31483433

Artificial intelligence identified peptides modulate inflammation in healthy adults.

Dietrich Rein1, Philipp Ternes2, Rodion Demin2, Jürgen Gierke3, Thrandur Helgason3, Christiane Schön4.   

Abstract

Dietary bioactive peptides have been, among many functionalities, associated with immune modulation and thereby may improve resolution of inflammation. The goals of this research were to assess (1) whether specific peptides with immune-modulating activity consumed as part of a rice protein hydrolysate could be absorbed into blood and (2) whether they modulate inflammation markers. Artificial intelligence algorithms were applied to target, predict and unlock inflammation-modulating peptides from rice protein. A food application was developed containing four bioactive peptides. Protein docking simulation studies revealed high binding energies of these peptides with inflammation markers. In a small kinetic study 10 healthy subjects consumed the peptides with a single bolus of 20 g protein hydrolysate. Although absorption of the four predicted peptides at plasma concentrations deemed biologically relevant could not be confirmed (quantitative LC-MS/MS), several cytokines responded (ELISA kits). The 24-hour kinetic study revealed a slight suppression of pro-inflammatory TNF-α, IP-10 and NOx, whereas IL-6 increased temporarily (timepoints 2-12 hours). These markers returned to the baseline after 24 hours whereas others were not affected significantly (IL-10, hs-CRP, IL-8, and MCP-1). Consumption of a single dose protein hydrolysate containing immune modulatory peptides induced a mild temporary response most likely through intestinal signaling. Forthcoming studies will examine dietary supplementation in situations of stress.

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Year:  2019        PMID: 31483433     DOI: 10.1039/c9fo01398a

Source DB:  PubMed          Journal:  Food Funct        ISSN: 2042-6496            Impact factor:   5.396


  6 in total

1.  A comprehensive review on the glucoregulatory properties of food-derived bioactive peptides.

Authors:  Forough Jahandideh; Stephane L Bourque; Jianping Wu
Journal:  Food Chem X       Date:  2022-02-02

2.  Characterising the efficacy and bioavailability of bioactive peptides identified for attenuating muscle atrophy within a Vicia faba-derived functional ingredient.

Authors:  Alberto R Corrochano; Roi Cal; Kathy Kennedy; Audrey Wall; Niall Murphy; Sanja Trajkovic; Sean O'Callaghan; Alessandro Adelfio; Nora Khaldi
Journal:  Curr Res Food Sci       Date:  2021-04-03

Review 3.  How Healthy Are Non-Traditional Dietary Proteins? The Effect of Diverse Protein Foods on Biomarkers of Human Health.

Authors:  Caroline Bull; Damien Belobrajdic; Sara Hamzelou; Darren Jones; Wayne Leifert; Rocío Ponce-Reyes; Netsanet Shiferaw Terefe; Gemma Williams; Michelle Colgrave
Journal:  Foods       Date:  2022-02-11

4.  An Artificial-Intelligence-Discovered Functional Ingredient, NRT_N0G5IJ, Derived from Pisum sativum, Decreases HbA1c in a Prediabetic Population.

Authors:  Sweeny Chauhan; Alish Kerr; Brian Keogh; Stephanie Nolan; Rory Casey; Alessandro Adelfio; Niall Murphy; Aoife Doherty; Heidi Davis; Audrey M Wall; Nora Khaldi
Journal:  Nutrients       Date:  2021-05-13       Impact factor: 5.717

5.  Preclinical Evaluation of a Food-Derived Functional Ingredient to Address Skeletal Muscle Atrophy.

Authors:  Roi Cal; Heidi Davis; Alish Kerr; Audrey Wall; Brendan Molloy; Sweeny Chauhan; Sanja Trajkovic; Ian Holyer; Alessandro Adelfio; Nora Khaldi
Journal:  Nutrients       Date:  2020-07-29       Impact factor: 5.717

6.  Discovery through Machine Learning and Preclinical Validation of Novel Anti-Diabetic Peptides.

Authors:  Rory Casey; Alessandro Adelfio; Martin Connolly; Audrey Wall; Ian Holyer; Nora Khaldi
Journal:  Biomedicines       Date:  2021-03-09
  6 in total

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