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Mesenchymal Stromal Cell Secretome Is Affected by Tissue Source and Donor Age

Variation in mesenchymal stromal cell (MSC) function depending on their origin is problematic, as it may confound clinical outcomes of MSC therapy. Current evidence suggests that the therapeutic benefits of MSCs are attributed to secretion of biologically active factors (secretome). However, the eff...

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Autores principales: Turlo, Agnieszka J, Hammond, Dean E, Ramsbottom, Kerry A, Soul, Jamie, Gillen, Alexandra, McDonald, Kieran, Peffers, Mandy J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631804/
https://www.ncbi.nlm.nih.gov/pubmed/37591507
http://dx.doi.org/10.1093/stmcls/sxad060
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author Turlo, Agnieszka J
Hammond, Dean E
Ramsbottom, Kerry A
Soul, Jamie
Gillen, Alexandra
McDonald, Kieran
Peffers, Mandy J
author_facet Turlo, Agnieszka J
Hammond, Dean E
Ramsbottom, Kerry A
Soul, Jamie
Gillen, Alexandra
McDonald, Kieran
Peffers, Mandy J
author_sort Turlo, Agnieszka J
collection PubMed
description Variation in mesenchymal stromal cell (MSC) function depending on their origin is problematic, as it may confound clinical outcomes of MSC therapy. Current evidence suggests that the therapeutic benefits of MSCs are attributed to secretion of biologically active factors (secretome). However, the effect of donor characteristics on the MSC secretome remains largely unknown. Here, we examined the influence of donor age, sex, and tissue source, on the protein profile of the equine MSC secretome. We used dynamic metabolic labeling with stable isotopes combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify secreted proteins in MSC conditioned media (CM). Seventy proteins were classified as classically secreted based on the rate of label incorporation into newly synthesized proteins released into the extracellular space. Next, we analyzed CM of bone marrow- (n = 14) and adipose-derived MSCs (n = 16) with label-free LC-MS/MS. Clustering analysis of 314 proteins detected across all samples identified tissue source as the main factor driving variability in MSC CM proteomes. Linear modelling applied to the subset of 70 secreted proteins identified tissue-related difference in the abundance of 23 proteins. There was an age-related decrease in the abundance of CTHRC1 and LOX, further validated with orthogonal techniques. Due to the lack of flow cytometry characterization of MSC surface markers, the analysis could not account for the potential effect of cell population heterogeneity. This study provides evidence that tissue source and donor age contribute to differences in the protein composition of MSC secretomes which may influence the effects of MSC therapy.
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spelling pubmed-106318042023-11-15 Mesenchymal Stromal Cell Secretome Is Affected by Tissue Source and Donor Age Turlo, Agnieszka J Hammond, Dean E Ramsbottom, Kerry A Soul, Jamie Gillen, Alexandra McDonald, Kieran Peffers, Mandy J Stem Cells Stem Cell Technology: Epigenetics, Genomics, Proteomics, and Metabonomics Variation in mesenchymal stromal cell (MSC) function depending on their origin is problematic, as it may confound clinical outcomes of MSC therapy. Current evidence suggests that the therapeutic benefits of MSCs are attributed to secretion of biologically active factors (secretome). However, the effect of donor characteristics on the MSC secretome remains largely unknown. Here, we examined the influence of donor age, sex, and tissue source, on the protein profile of the equine MSC secretome. We used dynamic metabolic labeling with stable isotopes combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify secreted proteins in MSC conditioned media (CM). Seventy proteins were classified as classically secreted based on the rate of label incorporation into newly synthesized proteins released into the extracellular space. Next, we analyzed CM of bone marrow- (n = 14) and adipose-derived MSCs (n = 16) with label-free LC-MS/MS. Clustering analysis of 314 proteins detected across all samples identified tissue source as the main factor driving variability in MSC CM proteomes. Linear modelling applied to the subset of 70 secreted proteins identified tissue-related difference in the abundance of 23 proteins. There was an age-related decrease in the abundance of CTHRC1 and LOX, further validated with orthogonal techniques. Due to the lack of flow cytometry characterization of MSC surface markers, the analysis could not account for the potential effect of cell population heterogeneity. This study provides evidence that tissue source and donor age contribute to differences in the protein composition of MSC secretomes which may influence the effects of MSC therapy. Oxford University Press 2023-08-17 /pmc/articles/PMC10631804/ /pubmed/37591507 http://dx.doi.org/10.1093/stmcls/sxad060 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Stem Cell Technology: Epigenetics, Genomics, Proteomics, and Metabonomics
Turlo, Agnieszka J
Hammond, Dean E
Ramsbottom, Kerry A
Soul, Jamie
Gillen, Alexandra
McDonald, Kieran
Peffers, Mandy J
Mesenchymal Stromal Cell Secretome Is Affected by Tissue Source and Donor Age
title Mesenchymal Stromal Cell Secretome Is Affected by Tissue Source and Donor Age
title_full Mesenchymal Stromal Cell Secretome Is Affected by Tissue Source and Donor Age
title_fullStr Mesenchymal Stromal Cell Secretome Is Affected by Tissue Source and Donor Age
title_full_unstemmed Mesenchymal Stromal Cell Secretome Is Affected by Tissue Source and Donor Age
title_short Mesenchymal Stromal Cell Secretome Is Affected by Tissue Source and Donor Age
title_sort mesenchymal stromal cell secretome is affected by tissue source and donor age
topic Stem Cell Technology: Epigenetics, Genomics, Proteomics, and Metabonomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631804/
https://www.ncbi.nlm.nih.gov/pubmed/37591507
http://dx.doi.org/10.1093/stmcls/sxad060
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