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Myocardial fibrosis (MF) can cause heart remodeling and it is an independent risk factor for malignant arrhythmias, sudden cardiac death, and other malignant cardiovascular events. It is often characterized by myocardial interstitial collagen deposition and hyperproliferation of cardiac fibroblasts (CFs). The transforming growth factor-β1 (TGF-β1) is the most influential profibrogenic factor. Resveratrol (RSV) is an active polyphenol substance that inhibits myocardial fibrosis. The mechanism of RSV-mediated inhibition of the proliferation of CFs at the microRNA level is not fully understood. We used TGF-β1 to induce CFs proliferation to simulate the pathogenesis of myocardial fibrosis. Neonatal rat CFs were treated with TGF-β1 in the presence or absence of resveratrol. Cell proliferation was measured using the CCK-8 and EdU assay. Collagen secretion was measured using hydroxyproline kit. Further, qPCR analysis was performed to determine microRNA levels after TGF-β1 or resveratrol treatment. To identify the target gene for miR-17, miR-17 was overexpressed or silenced, and the mRNA and protein levels of Smad7 were assessed. The effects of miR-17 silencing or Smad7 overexpression on cell proliferation and collagen secretion were also examined. Resveratrol treatment significantly decreased the TGF-β1-induced CF proliferation and collagen secretion. Resveratrol also decreased the levels of miR-17, miR-34a, and miR-181a in TGF-β1-treated CFs. Overexpression of miR-17 decreased the Smad7 mRNA and protein levels while silencing miR-17 increased them. Additionally, silencing miR-17 or overexpressing Smad7 decreased the TGF-β1-induced CFs proliferation and collagen secretion. In conclusion, resveratrol inhibits TGF-β1-induced CFs proliferation and collagen secretion. This inhibitory effect of resveratrol is orchestrated by the downregulation of miR-17 and the regulation of Smad7. [ABSTRACT FROM AUTHOR]

Abstract: MicroRNAs (miRNA) participate in regulating diverse biological pathways by translational repression in animals. They have attracted increasing attention recently. However, little work has been done on the miRNA genes in agriculturally important pests. Because the transcripts of most miRNA genes are the products of type-II RNA polymerase, pri-miRNA has a poly(A) tail and appears in expressed sequence tags (EST). We developed a computational pipeline to identify miRNA genes from insect ESTs. First, 980,697 ESTs from 63 insects were collected and used to search the nr database. The ESTs which did not share significant similarities with any known protein-coding genes were treated as non-coding ESTs. Next, known mature miRNAs were used to align with non-coding ESTs. The ESTs which contain the sequence of mature miRNA were treated as candidate ESTs. Finally, putative precursors were extracted flanking the mature miRNA region in candidate ESTs and evaluated by the Triplet-SVM algorithm. As a result, 86 miRNAs from 30 insect species were found based on a strict criterion while 330 miRNAs from 51 species were found based on a loose criterion. Evolution analysis indicated that mir-467, mir-297 and mir-466 were the highest conserved miRNA families in insects. To confirm the reliability of putative insect miRNAs, the expression profile of nine predicted miRNAs in Locusta migratoria was investigated. Eight miRNAs were successfully detected by RT-PCR. Most miRNAs were expressed ubiquitously at all examined tissues and developmental stages whereas Lmi-mir-509 was specifically expressed in the thorax of the 2nd, 4th and 5th instars and adult locust. In all, our work reported an efficient computational strategy for predicting miRNA genes from insect ESTs and presented tens of miRNAs in diverse insect species which are expected to participate in many important physiological processes. [ABSTRACT FROM AUTHOR]