Matrix-Bound Nanovesicles Recapitulate Extracellular Matrix Effects on Macrophage Phenotype

Luai Huleihel, Joseph G. Bartolacci, Jenna L. Dziki, Tatiana Vorobyov, Brooke Arnold, Michelle E. Scarritt, Catalina Pineda Molina, Samuel T. Lopresti, Bryan N. Brown, Juan Diego Naranjo, Stephen F. Badylak*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

77 Scopus citations


The early macrophage response to biomaterials has been shown to be a critical and predictive determinant of downstream outcomes. When properly prepared, bioscaffolds composed of mammalian extracellular matrix (ECM) have been shown to promote a transition in macrophage behavior from a proinflammatory to a regulatory/anti-inflammatory phenotype, which in turn has been associated with constructive and functional tissue repair. The mechanism by which ECM bioscaffolds promote this phenotypic transition, however, is poorly understood. The present study shows that matrix-bound nanovesicles (MBV), a component of ECM bioscaffolds, are capable of recapitulating the macrophage activation effects of the ECM bioscaffold from which they are derived. MBV isolated from two different source tissues, porcine urinary bladder and small intestinal submucosa, were found to be enriched in miRNA125b-5p, 143-3p, and 145-5p. Inhibition of these miRNAs within macrophages was associated with a gene and protein expression profile more consistent with a proinflammatory rather than an anti-inflammatory/regulatory phenotype. MBV and their associated miRNA cargo appear to play a significant role in mediating the effects of ECM bioscaffolds on macrophage phenotype.

Original languageEnglish
Pages (from-to)1283-1294
Number of pages12
JournalTissue Engineering - Part A.
Issue number21-22
StatePublished - Nov 2017
Externally publishedYes


  • extracellular matrix
  • macrophage
  • matrix-bound nanovesicles
  • phenotype


Dive into the research topics of 'Matrix-Bound Nanovesicles Recapitulate Extracellular Matrix Effects on Macrophage Phenotype'. Together they form a unique fingerprint.

Cite this