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Inflammation-Mediated Regulation of MicroRNA Expression in Transplanted Pancreatic Islets
Author(s) -
Valia Bravo-Egaña,
Samuel Rosero,
Dagmar Klein,
Zhijie Jiang,
Nancy Vargas,
Nicholas F. Tsinoremas,
M. Doni,
Michele Podetta,
Camillo Ricordi,
R. Damaris Molano,
Antonello Pileggi,
Ricardo L. Pastori
Publication year - 2012
Publication title -
journal of transplantation
Language(s) - English
Resource type - Journals
eISSN - 2090-0015
pISSN - 2090-0007
DOI - 10.1155/2012/723614
Subject(s) - microrna , medicine , pancreatic islets , inflammation , expression (computer science) , islet , bioinformatics , endocrinology , diabetes mellitus , biology , genetics , gene , computer science , programming language
Nonspecific inflammation in the transplant microenvironment results in β -cell dysfunction and death influencing negatively graft outcome. MicroRNA (miRNA) expression and gene target regulation in transplanted islets are not yet well characterized. We evaluated the impact of inflammation on miRNA expression in transplanted rat islets. Islets exposed in vitro to proinflammatory cytokines and explanted syngeneic islet grafts were evaluated by miRNA arrays. A subset of 26 islet miRNAs was affected by inflammation both in vivo and in vitro . Induction of miRNAs was dependent on NF- κ B, a pathway linked with cytokine-mediated islet cell death. RT-PCR confirmed expression of 8 miRNAs. The association between these miRNAs and mRNA target-predicting algorithms in genome-wide RNA studies of β -cell inflammation identified 238 potential miRNA gene targets. Several genes were ontologically associated with regulation of insulin signaling and secretion, diabetes, and islet physiology. One of the most activated miRNAs was miR-21. Overexpression of miR-21 in insulin-secreting MIN6 cells downregulated endogenous expression of the tumor suppressor Pdcd4 and of Pclo, a Ca 2+ sensor protein involved in insulin secretion. Bioinformatics identified both as potential targets. The integrated analysis of miRNA and mRNA expression profiles revealed potential targets that may identify molecular targets for therapeutic interventions.

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