EmDL: < bold >< underline > E xtracting < bold >< underline > m iRNA-< bold >< underline > D rug Interactions from < bold >< underline > L iterature
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
Authors: Xie, Wen-Bin; Yan, Hong; Zhao, Xing-Ming
Abstract
The microRNAs (miRNAs), regulators of post-transcriptional processes, have been found to affect the efficacy of drugs by regulating the biological processes in which the target proteins of drugs may be involved. For example, some drugs develop resistance when certain miRNAs are overexpressed. Therefore, identifying miRNAs that affect drug effects can help understand the mechanisms of drug actions and design more efficient drugs. Although some computational approaches have been developed to predict miRNA-drug associations, such associations rarely provide explicit information about which miRNAs and how they affect drug efficacy. On the other hand, there are rich information about which miRNAs affect the efficacy of which drugs in the literature. In this paper, we present a novel text mining approach, named as EmDL (Extracting miRNA-Drug interactions from Literature), to extract the relationships of miRNAs affecting drug efficacy from literature. Benchmarking on the drug-miRNA interactions manually extracted from MEDLINE and PubMed Central, EmDL outperforms traditional text mining approaches as well as other popular methods for predicting drug-miRNA associations. Specifically, EmDL can effectively identify the sentences that describe the relationships of miRNAs affecting drug effects. The drug-miRNA interactome presented here can help understand how miRNAs affect drug effects and provide insights into the mechanisms of drug actions. In addition, with the information about drug-miRNA interactions, more effective drugs or combinatorial strategies can be designed in the future. The data used here can be accessed at http://mtd.comp-sysbio.org/.
Reduction of oxidative stress markers in the corpora cavernosa and media of penile dorsal artery in middle-aged rats treated with COMP-4
INTERNATIONAL JOURNAL OF IMPOTENCE RESEARCH
Authors: Nguyen, Sabine; Castellanos, Kendra Arriaga; Abraham, Andrea; Ferrini, Monica G.
Abstract
COMP-4, a nutraceutical combination consisting of ginger rhizome, muira puama, Paullinia cupana, and l-citrulline, enhances intracellular nitric oxide (NO) production by the corporal smooth muscle cells (CSMC). This study aims to determine if the previously shown beneficial effect of COMP-4 on the histology and function of the aging penis is associated with an antioxidative effect from endogenously produced NO. Ten-month-old male rats were treated daily for 2 months with COMP-4 or vehicle at which time the corpora and penile dorsal artery (PDA) were evaluated by immunohistochemistry for (a) apoptosis (b) proliferative cell nuclear antigen, (c) heme oxygenase-1 (HO-1), (d) myeloperoxidase (MPO), and (e) nitrotyrosine (NT). CSMC were cultured and incubated with COMP-4 in order to determine intracellular oxidative stress via the GSH/GSSG ratio. In both the corpora and PDA, daily treatment with COMP-4 resulted in an increase in both smooth muscle cell proliferation and HO-1 expression as well as a decrease in MPO. There was no change in either apoptosis or NT expression. In the CSMC cell culture, treatment with COMP-4 increased the intracellular GSH/GSSG ratio. COMP-4 appears to have an antioxidant effect on the aging vascular smooth muscle cells both in the corpora and peripheral vasculature.