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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.
Afiliação
  • Turlo AJ; Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
  • Hammond DE; epartment of Cellular and Molecular Physiology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
  • Ramsbottom KA; Computational Biology Facility, Liverpool Shared Research Facilities, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
  • Soul J; Computational Biology Facility, Liverpool Shared Research Facilities, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
  • Gillen A; Department of Veterinary Science, Philip Leverhulme Equine Hospital, University of Liverpool, UK.
  • McDonald K; Biobest Laboratories Ltd, Liverpool, UK.
  • Peffers MJ; Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
Stem Cells ; 41(11): 1047-1059, 2023 Nov 05.
Article em En | MEDLINE | ID: mdl-37591507
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Células-Tronco Mesenquimais / Secretoma Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Stem Cells Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Células-Tronco Mesenquimais / Secretoma Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Stem Cells Ano de publicação: 2023 Tipo de documento: Article