In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Context: Non-viral gene transfer efficiency is low as compared to viral vector systems. Here we describe the discovery of new drugs that are capable of enhancing non-viral gene transfer into mammalian cells using a novel two-stage screening procedure.', 'First, potential candidates are preselected from a molecular library at various concentrations by a semi-automated yeast transfection screen (YTS). The maximal transfection efficiency of every positive drug is subsequently determined in independent experiments at the optimal concentration and compared to the inhibitory effect of the drug on cell growth (IC50). In a subsequent mammalian cell transfection screen (MTS), the maximal transfection efficiency and the IC50 are determined for all preselected drugs using a human cell line and a luciferase reporter gene construct.', 'Employing our novel system we have been able to identify a new class of transfection enhancers, the tricyclic antidepressants (i.e. doxepin, maprotiline, desipramine and amoxapine). All positive drugs enhanced gene transfer in both yeast and human cell lines, but lower concentrations were sufficient for mammalian cells. With a triple combination of doxepin, amoxapine and chloroquine we obtained a transfection efficiency that exceeded that of chloroquine, one of the best-known transfection enhancers of mammalian cells, by nearly one order of magnitude.\Question: Does novel two-stage screening procedure lead to the identification of a new class of transfection enhancers?
Non-viral gene transfer efficiency can be increased significantly using new transfection enhancers that are identified by a novel, semi-automated two-stage screening system employing yeast cells in the first and specific human target cells in the second round.

Context: The differential intestinal metabolism of the soy isoflavones is likely to influence the ability of soy to prevent prostate cancer. While daidzein, genistein, and equol have direct antiproliferative effects on prostatic epithelial cells in vitro, there are no such data for the isoflavone glycitein, or seven metabolites: O-desmethylangolensin (ODMA), 6-hydroxyODMA (6H-ODMA), dihydrodaidzein (DHD), cis-4-hydroxyequol (C4HE), 3'-hydroxydaidzein (3HD), 6-hydroxydaidzein (6HD), and 8-hydroxydaidzein (8HD). In the current study, the in vitro activities of these compounds were elucidated, and the active ranges of concentrations were compared to that found in Caucasian prostatic fluid (PF) and plasma samples.", 'The effects of isoflavonoids on cell growth, cell cycle distribution, and apoptosis (active Caspase 3) were examined on benign prostatic epithelial cells (PrEC), and the prostate cancer cell line LNCaP.', 'PF concentrations of genistein, equol, and daidzein (but not ODMA or DHD) were often within the ranges that reduce PrEC growth in vitro. Profound differences in sensitivities were observed with LNCaP. The hydroxydaidzeins, C4HE, and 6H-ODMA had significant inhibitory effects at 10(-5)M on PrEC growth (but not LNCaP). Glycitein had significant effects on both. Reductions in cell growth were typically associated with both changes in cell cycle distribution and Caspase 3 activation. When five isoflavonoids were used in combination at concentrations present in PF samples, synergistic effects were observed.\Question: Are prostatic fluid concentrations of isoflavonoids in soy consumers sufficient to inhibit growth of benign and malignant prostatic epithelial cells in vitro?
The profound differences in sensitivities of prostatic epithelial cells to these compounds along with their synergistic effects suggest that multiple metabolites in vivo may be optimal for preventing prostate cancer.

Context: Recent randomized trials suggest that intensive glycaemic control fails to reduce heart failure-related events in patients with diabetes. The molecular cues underlying persistent myocardial damage despite normoglycaemia restoration remain elusive. MicroRNAs (miRNAs), a class of small non-coding RNAs, orchestrate transcriptional programs implicated in adverse cardiac remodelling. The present study investigates whether miRNAs participate to hyperglycaemic memory in the diabetic heart.', 'miRNA landscape was assessed by Mouse miRNome miRNA PCR Arrays in left ventricular specimens collected from 4-month-old streptozotocin-induced diabetic mice, with or without intensive glycaemic control by slow-release insulin implants. A dysregulation of 316 out of 1008 total miRNAs was observed in the diabetic hearts when compared with controls. Of these, 209 were up-regulated and 107 were down-regulated by >2.0-fold. Interestingly enough, the expression of 268 of those miRNAs remained significantly altered in diabetic mice even after subsequent normoglycaemia. Ingenuity pathway analysis revealed that dysregulated miRNAs were implicated in myocardial signalling networks triggering apoptosis (miR-320b, miR-378, miR-34a), fibrosis (miR-125b, miR-150, miR-199a, miR-29b, miR30a), hypertrophic growth (miR-1, miR-150, miR-199a, miR-133a, miR-214, miR-29a, miR-125b, miR-221, miR-212), autophagy (miR-133a, miR-221, miR-212, miR30a), oxidative stress (miR-221, miR-146a, miR-34a, miR-210, miR-19b, miR-125b, miR27a, miR-155), and heart failure (miR-423, miR-499, miR-199a), respectively.\Question: Does microRNA profiling unveil hyperglycaemic memory in the diabetic heart?

Glycaemic control is not able to rescue hyperglycaemia-induced alterations of miRNA landscape in the diabetic heart. These findings may provide novel insights to understand why diabetic cardiomyopathy progresses despite normalization of blood glucose levels.