| Literature DB >> 28731525 |
Bernhard Wernly1, Inês Gonçalves2, Attila Kiss2, Vera Paar1, Tobias Mösenlechner1, Michael Leisch3, David Santer2, Lukas Jaroslaw Motloch1, Klaus U Klein4, Eva V Tretter4, Daniel Kretzschmar5, Bruno Podesser2, Christian Jung6, Uta C Hoppe1, Michael Lichtenauer1.
Abstract
Stem cell therapy for acute myocardial infarction (AMI) seemed to be a promising therapy, however, large clinical trials brought differential outcome. It has been shown that paracrine effects of secretomes of stem cells rather than cell therapy might play a fundamental role. The present study seeks to compare cell processing protocols of clinical trials and investigate effects of differential cell culture conditions on chemokine secretion and functional effects. Different secretomes are compared regarding IL-8, VEGF, MCP-1, and TNF-alpha secretion. Secretome mediated effects are evaluated on endothelial cell (HUVEC) tube formation and migration. Cardioprotective signaling kinases in human cardiomyocytes are determined by Western immunoblotting. Cells processed according to the REPAIR-AMI protocol secrete significantly higher amounts of IL-8 (487.3 ± 1231.1 vs 9.1 ± 8.2 pg mL-1 ; p < 0.05). REAPIR-AMI supernatants lead to significantly pronounced tube formation and migration on HUVEC and enhance the phosphorylation of Akt, ERK, and CREB. Cell processing conditions have a major impact on the composition of the secretome. The REPAIR-AMI secretome significantly enhances proangiogenic chemokine secretion, angiogenesis, cell migration, and cardioprotective signaling pathways. These results might explain differential outcomes between clinical trials. Optimizing cell processing protocols with special regards to paracrine factors, might open a new therapeutic concept for improving patient outcome.Entities:
Keywords: ASTAMI; REPAIR-AMI; angiogenesis; clinical trials; myocardial infarction; paracrine factors; signaling
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Year: 2017 PMID: 28731525 DOI: 10.1002/biot.201600732
Source DB: PubMed Journal: Biotechnol J ISSN: 1860-6768 Impact factor: 4.677