Cargando…

Identification of a clinical signature predictive of differentiation fate of human bone marrow stromal cells

BACKGROUND: Transplantation of human bone marrow stromal cells (hBMSCs) is a promising therapy for bone regeneration due to their ability to differentiate into bone forming osteoblastic cells. However, transplanted hBMSCs exhibit variable capacity for bone formation resulting in inconsistent clinica...

Descripción completa

Detalles Bibliográficos
Autores principales: Kowal, Justyna Magdalena, Möller, Sören, Ali, Dalia, Figeac, Florence, Barington, Torben, Schmal, Hagen, Kassem, Moustapha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091554/
https://www.ncbi.nlm.nih.gov/pubmed/33941262
http://dx.doi.org/10.1186/s13287-021-02338-1
_version_ 1783687506203508736
author Kowal, Justyna Magdalena
Möller, Sören
Ali, Dalia
Figeac, Florence
Barington, Torben
Schmal, Hagen
Kassem, Moustapha
author_facet Kowal, Justyna Magdalena
Möller, Sören
Ali, Dalia
Figeac, Florence
Barington, Torben
Schmal, Hagen
Kassem, Moustapha
author_sort Kowal, Justyna Magdalena
collection PubMed
description BACKGROUND: Transplantation of human bone marrow stromal cells (hBMSCs) is a promising therapy for bone regeneration due to their ability to differentiate into bone forming osteoblastic cells. However, transplanted hBMSCs exhibit variable capacity for bone formation resulting in inconsistent clinical outcome. The aim of the study was to identify a set of donor- and cell-related characteristics that detect hBMSCs with optimal osteoblastic differentiation capacity. METHODS: We collected hBMSCs from 58 patients undergoing surgery for bone fracture. Clinical profile of the donors and in vitro characteristics of cultured hBMSCs were included in uni- and multivariable analysis to determine their predictive value for osteoblastic versus adipocytic differentiation capacity assessed by quantification of mineralized matrix and mature adipocyte formation, respectively. RESULTS: We identified a signature that explained > 50% of variation in osteoblastic differentiation outcome which included the following positive predictors: donor sex (male), absence of osteoporosis diagnosis, intake of vitamin D supplements, higher fraction of CD146+, and alkaline phosphate (ALP+) cells. With the exception of vitamin D and ALP+ cells, these variables were also negative predictors of adipocytic differentiation. CONCLUSIONS: Using a combination of clinical and cellular criteria, it is possible to predict differentiation outcome of hBMSCs. This signature may be helpful in selecting donor cells in clinical trials of bone regeneration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13287-021-02338-1.
format Online
Article
Text
id pubmed-8091554
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-80915542021-05-04 Identification of a clinical signature predictive of differentiation fate of human bone marrow stromal cells Kowal, Justyna Magdalena Möller, Sören Ali, Dalia Figeac, Florence Barington, Torben Schmal, Hagen Kassem, Moustapha Stem Cell Res Ther Research BACKGROUND: Transplantation of human bone marrow stromal cells (hBMSCs) is a promising therapy for bone regeneration due to their ability to differentiate into bone forming osteoblastic cells. However, transplanted hBMSCs exhibit variable capacity for bone formation resulting in inconsistent clinical outcome. The aim of the study was to identify a set of donor- and cell-related characteristics that detect hBMSCs with optimal osteoblastic differentiation capacity. METHODS: We collected hBMSCs from 58 patients undergoing surgery for bone fracture. Clinical profile of the donors and in vitro characteristics of cultured hBMSCs were included in uni- and multivariable analysis to determine their predictive value for osteoblastic versus adipocytic differentiation capacity assessed by quantification of mineralized matrix and mature adipocyte formation, respectively. RESULTS: We identified a signature that explained > 50% of variation in osteoblastic differentiation outcome which included the following positive predictors: donor sex (male), absence of osteoporosis diagnosis, intake of vitamin D supplements, higher fraction of CD146+, and alkaline phosphate (ALP+) cells. With the exception of vitamin D and ALP+ cells, these variables were also negative predictors of adipocytic differentiation. CONCLUSIONS: Using a combination of clinical and cellular criteria, it is possible to predict differentiation outcome of hBMSCs. This signature may be helpful in selecting donor cells in clinical trials of bone regeneration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13287-021-02338-1. BioMed Central 2021-05-03 /pmc/articles/PMC8091554/ /pubmed/33941262 http://dx.doi.org/10.1186/s13287-021-02338-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kowal, Justyna Magdalena
Möller, Sören
Ali, Dalia
Figeac, Florence
Barington, Torben
Schmal, Hagen
Kassem, Moustapha
Identification of a clinical signature predictive of differentiation fate of human bone marrow stromal cells
title Identification of a clinical signature predictive of differentiation fate of human bone marrow stromal cells
title_full Identification of a clinical signature predictive of differentiation fate of human bone marrow stromal cells
title_fullStr Identification of a clinical signature predictive of differentiation fate of human bone marrow stromal cells
title_full_unstemmed Identification of a clinical signature predictive of differentiation fate of human bone marrow stromal cells
title_short Identification of a clinical signature predictive of differentiation fate of human bone marrow stromal cells
title_sort identification of a clinical signature predictive of differentiation fate of human bone marrow stromal cells
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091554/
https://www.ncbi.nlm.nih.gov/pubmed/33941262
http://dx.doi.org/10.1186/s13287-021-02338-1
work_keys_str_mv AT kowaljustynamagdalena identificationofaclinicalsignaturepredictiveofdifferentiationfateofhumanbonemarrowstromalcells
AT mollersoren identificationofaclinicalsignaturepredictiveofdifferentiationfateofhumanbonemarrowstromalcells
AT alidalia identificationofaclinicalsignaturepredictiveofdifferentiationfateofhumanbonemarrowstromalcells
AT figeacflorence identificationofaclinicalsignaturepredictiveofdifferentiationfateofhumanbonemarrowstromalcells
AT baringtontorben identificationofaclinicalsignaturepredictiveofdifferentiationfateofhumanbonemarrowstromalcells
AT schmalhagen identificationofaclinicalsignaturepredictiveofdifferentiationfateofhumanbonemarrowstromalcells
AT kassemmoustapha identificationofaclinicalsignaturepredictiveofdifferentiationfateofhumanbonemarrowstromalcells