Literature DB >> 28678424

The metabolic syndrome alters the miRNA signature of porcine adipose tissue-derived mesenchymal stem cells.

Yu Meng1,2, Alfonso Eirin1, Xiang-Yang Zhu1, Hui Tang1, Pritha Chanana3, Amir Lerman4, Andre J Van Wijnen5, Lilach O Lerman1,4.   

Abstract

Autologous transplantation of mesenchymal stem cells (MSCs) is a viable option for the treatment of several diseases. Evidence indicates that MSCs release extracellular vesicles (EVs) and that EVs shuttle miRNAs to damaged parenchymal cells to activate an endogenous repair program. We hypothesize that comorbidities may interfere with the packaging of cargo in MSC-derived EVs. Therefore, we examined whether metabolic syndrome (MetS) modulates the miRNA content packed within MSC-derived EVs. MSCs were collected from swine abdominal adipose tissue after 16 weeks of lean or obese diet (n = 7 each). Next-generation RNA sequencing of miRNAs (miRNA-seq) was performed to identify miRNAs enriched in MSC-derived EVs and their predicted target genes. Functional pathway analysis of the top 50 target genes of the top 4 miRNAs enriched in each group was performed using gene ontology analysis. Lean- and MetS-EVs were enriched in, respectively, 14 and 8 distinct miRNAs. Target genes of miRNAs enriched in MetS-EVs were implicated in the development of MetS and its complications, including diabetes-related pathways, validated transcriptional targets of AP1 family members Fra1 and Fra2, Class A/1 (Rhodopsin-like receptors), and Peptide ligand-binding receptors. In contrast, miRNAs enriched in Lean EVs target primarily EphrinA-EPHA and the Rho family of GTPases. MetS alters the miRNA content of EVs derived from porcine adipose tissue MSCs. These alterations could impair the efficacy and limit the therapeutic use of autologous MSCs in subjects with MetS. Our findings may assist in developing adequate regenerative strategies to preserve the reparative potency of MSCs in individuals with MetS.
© 2017 International Society for Advancement of Cytometry. © 2017 International Society for Advancement of Cytometry.

Entities:  

Keywords:  extracellular vesicles; mesenchymal stem cells; metabolic syndrome; microRNA

Mesh:

Substances:

Year:  2017        PMID: 28678424      PMCID: PMC5756133          DOI: 10.1002/cyto.a.23165

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


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