A combined microphysiological-computational omics approach in dietary protein evaluation
Abstract Food security is under increased pressure due to the ever-growing world population. To tackle this, alternative protein sources need to be evaluated for nutritional value, which requires information on digesta peptide composition in comparison to established protein sources and coupling to...
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doaj-8b3824adfd8543ed9a5b564af4ad67392020-12-20T12:16:51ZengNature Publishing Groupnpj Science of Food2396-83702020-12-01411910.1038/s41538-020-00082-zA combined microphysiological-computational omics approach in dietary protein evaluationPaulus G. M. Jochems0Willem R. Keusters1Antoine H. P. America2Pascale C. S. Rietveld3Shanna Bastiaan-Net4Renata M. C. Ariëns5Monic M. M. Tomassen6Fraser Lewis7Yang Li8Koen G. C. Westphal9Johan Garssen10Harry J. Wichers11Jeroen van Bergenhenegouwen12Rosalinde Masereeuw13Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht UniversityJulius Centre, University Medical Center UtrechtWageningen Plant Research, Wageningen UniversityDivision of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht UniversityWageningen Food & Biobased Research, Wageningen UniversityWageningen Food & Biobased Research, Wageningen UniversityWageningen Food & Biobased Research, Wageningen UniversityDanone Nutricia ResearchDepartment of Orthopaedics, University Medical Center UtrechtDivision of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht UniversityDivision of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht UniversityWageningen Food & Biobased Research, Wageningen UniversityDivision of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht UniversityDivision of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht UniversityAbstract Food security is under increased pressure due to the ever-growing world population. To tackle this, alternative protein sources need to be evaluated for nutritional value, which requires information on digesta peptide composition in comparison to established protein sources and coupling to biological parameters. Here, a combined experimental and computational approach is presented, which compared seventeen protein sources with cow’s whey protein concentrate (WPC) as the benchmark. In vitro digestion of proteins was followed by proteomics analysis and statistical model-based clustering. Information on digesta peptide composition resulted in 3 cluster groups, primarily driven by the peptide overlap with the benchmark protein WPC. Functional protein data was then incorporated in the computational model after evaluating the effects of eighteen protein digests on intestinal barrier integrity, viability, brush border enzyme activity, and immune parameters using a bioengineered intestine as microphysiological gut system. This resulted in 6 cluster groups. Biological clustering was driven by viability, brush border enzyme activity, and significant differences in immune parameters. Finally, a combination of proteomic and biological efficacy data resulted in 5 clusters groups, driven by a combination of digesta peptide composition and biological effects. The key finding of our holistic approach is that protein source (animal, plant or alternative derived) is not a driving force behind the delivery of bioactive peptides and their biological efficacy.https://doi.org/10.1038/s41538-020-00082-z |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Paulus G. M. Jochems Willem R. Keusters Antoine H. P. America Pascale C. S. Rietveld Shanna Bastiaan-Net Renata M. C. Ariëns Monic M. M. Tomassen Fraser Lewis Yang Li Koen G. C. Westphal Johan Garssen Harry J. Wichers Jeroen van Bergenhenegouwen Rosalinde Masereeuw |
spellingShingle |
Paulus G. M. Jochems Willem R. Keusters Antoine H. P. America Pascale C. S. Rietveld Shanna Bastiaan-Net Renata M. C. Ariëns Monic M. M. Tomassen Fraser Lewis Yang Li Koen G. C. Westphal Johan Garssen Harry J. Wichers Jeroen van Bergenhenegouwen Rosalinde Masereeuw A combined microphysiological-computational omics approach in dietary protein evaluation npj Science of Food |
author_facet |
Paulus G. M. Jochems Willem R. Keusters Antoine H. P. America Pascale C. S. Rietveld Shanna Bastiaan-Net Renata M. C. Ariëns Monic M. M. Tomassen Fraser Lewis Yang Li Koen G. C. Westphal Johan Garssen Harry J. Wichers Jeroen van Bergenhenegouwen Rosalinde Masereeuw |
author_sort |
Paulus G. M. Jochems |
title |
A combined microphysiological-computational omics approach in dietary protein evaluation |
title_short |
A combined microphysiological-computational omics approach in dietary protein evaluation |
title_full |
A combined microphysiological-computational omics approach in dietary protein evaluation |
title_fullStr |
A combined microphysiological-computational omics approach in dietary protein evaluation |
title_full_unstemmed |
A combined microphysiological-computational omics approach in dietary protein evaluation |
title_sort |
combined microphysiological-computational omics approach in dietary protein evaluation |
publisher |
Nature Publishing Group |
series |
npj Science of Food |
issn |
2396-8370 |
publishDate |
2020-12-01 |
description |
Abstract Food security is under increased pressure due to the ever-growing world population. To tackle this, alternative protein sources need to be evaluated for nutritional value, which requires information on digesta peptide composition in comparison to established protein sources and coupling to biological parameters. Here, a combined experimental and computational approach is presented, which compared seventeen protein sources with cow’s whey protein concentrate (WPC) as the benchmark. In vitro digestion of proteins was followed by proteomics analysis and statistical model-based clustering. Information on digesta peptide composition resulted in 3 cluster groups, primarily driven by the peptide overlap with the benchmark protein WPC. Functional protein data was then incorporated in the computational model after evaluating the effects of eighteen protein digests on intestinal barrier integrity, viability, brush border enzyme activity, and immune parameters using a bioengineered intestine as microphysiological gut system. This resulted in 6 cluster groups. Biological clustering was driven by viability, brush border enzyme activity, and significant differences in immune parameters. Finally, a combination of proteomic and biological efficacy data resulted in 5 clusters groups, driven by a combination of digesta peptide composition and biological effects. The key finding of our holistic approach is that protein source (animal, plant or alternative derived) is not a driving force behind the delivery of bioactive peptides and their biological efficacy. |
url |
https://doi.org/10.1038/s41538-020-00082-z |
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