Expression of the counter-regulatory peptide intermedin is augmented in the presence of oxidative stress in hypertrophied cardiomyocytes.

Background: Intermedin (IMD), a novel cardiac peptide related to adrenomedullin (AM), protects against myocardial ischemia-reperfusion injury and attenuates ventricular remodelling. IMD’s actions are mediated by a calcitonin receptor-like receptor in association with receptor activity modifying proteins (RAMPs 1-3). Aim/method: using the spontaneously hypertensive rat (SHR) and normotensive Wistar Kyoto (WKY) rat at 20 weeks of age, to examine (i) the presence of myocardial oxidative stress and concentric hypertrophy; (ii) expression of IMD, AM and receptor components. Results: In left and right ventricular cardiomyocytes from SHR vs. WKY cell width (26% left, 15% right) and mRNA expression of hypertrophic markers ANP (2.7 fold left, 2.7 fold right) and BNP (2.2 fold left, 2.0 fold right) were enhanced. In left ventricular cardiomyocytes only (i) oxidative stress was indicated by increased membrane protein carbonyl content (71%) and augmented production of O2- anion (64%); (ii) IMD (6.8 fold), RAMP1 (2.5 fold) and RAMP3 (2.0 fold) mRNA was increased while AM and RAMP2 mRNA was not altered; (iii) abundance of RAMP1 (by 48%), RAMP2 (by 41%) and RAMP3 (by 90%) monomers in cell membranes was decreased. Conclusion: robust augmentation of IMD expression in hypertrophied left ventricular cardiomyocytes indicates a prominent role for this counter-regulatory peptide in the adaptation of the SHR myocardium to the stresses imposed by chronic hypertension. The local concentration and action of IMD may be further enhanced by down-regulation of NEP within the left ventricle.

Vitamin D Receptor Modulates the Neoplastic Phenotype Through Antagonistic Growth Regulatory Signals

Vitamin D receptor (VDR) can modulate functionally antagonistic growth regulatory pathways, involving beta-catenin/E-cadherin on one hand and osteopontin (OPN) on the other. This study investigates effects of VDR ligand treatment on the balance of these discordant signals and on associated cell behavior. Treatment of Rama 37 or SW480 cells by 1 alpha,25-(OH)(2) D-3 or analogs suppressed beta-catenin/Lef-1/Tcf signaling and upregulated E-cadherin, consistent with a cancer-inhibitory action. Conversely, treatment also increased transcription of OPN that may be implicated in tumor progression. Molecular crosstalk was observed between the antagonistic VDR-dependent signals, in that beta-catenin/Lef-1/Tcf molecules modulated VDR activation of OPN. Treatment effects on cell growth were related to a constitutive balance of OPN and E-cadherin expression. No growth effects were observed in Rama 37 cells that have low OPN and high E-cadherin expression. Conversely, treatment of Rama 37 stably transfected subclones that had high OPN and/or low level E-cadherin induced small but significant increases of cell attachment to fibronectin, anchorage-independent growth or invasion. This study shows that relative expression levels of key VDR downstream genes may influence growth regulation by 1 alpha,25-(OH)(2) D-3 or analogs. These findings may be relevant to the cell- or tissue-specificity of vitamin D growth regulation. (C) 2009 Wiley-Liss, Inc.

Irish Credit Unions: Investigating performance determinants and the opportunity cost of regulatory compliance

The study investigates how producer-specific environmental factors influence the performance of Irish credit unions. The empirical analysis uses a two-stage approach. The first stage measures efficiency by a data envelopment analysis (DEA) estimator, which explicitly incorporates the production of undesirable outputs such as bad loans in the modelling, and the second stage uses truncated regression to infer how various factors influence the (bias-corrected) estimated efficiency. A key finding of the analysis is that 68% of Irish credit unions do not incur an extra opportunity cost in meeting regulatory guidance on bad debt.

IL-12R2 promotes the development of CD4+CD25+ regulatory T cells

We have previously shown that mice lacking the IL-12-specific receptor subunit ß2 (IL-12Rß2) develop more severe experimental autoimmune encephalomyelitis than wild-type (WT) mice. The mechanism underlying this phenomenon is not known; nor is it known whether deficiency of IL-12Rß2 impacts other autoimmune disorders similarly. In the present study we demonstrate that IL-12Rß2-/- mice develop earlier onset and more severe disease in the streptozotocin-induced model of diabetes, indicating predisposition of IL-12Rß2-deficient mice to autoimmune diseases. T cells from IL-12Rß2-/- mice exhibited significantly higher proliferative responses upon TCR stimulation. The numbers of naturally occurring CD25+CD4+ regulatory T cells (Tregs) in the thymus and spleen of IL-12Rß2-/- mice were comparable to those of WT mice. However, IL-12Rß2-/- mice exhibited a significantly reduced capacity to develop Tregs upon stimulation with TGF-ß, as shown by significantly lower numbers of CD25+CD4+ T cells that expressed Foxp3. Functionally, CD25+CD4+ Tregs derived from IL-12Rß2-/- mice were less efficient than those from WT mice in suppressing effector T cells. The role of IL-12Rß2 in the induction of Tregs was confirmed using small interfering RNA. These findings suggest that signaling via IL-12Rß2 regulates both the number and functional maturity of Treg cells, which indicates a novel mechanism underlying the regulation of autoimmune diseases by the IL-12 pathway. Copyright © 2008 by The American Association of Immunologists, Inc.

Information processing in the transcriptional regulatory network of yeast: Functional robustness

Background: Gene networks are considered to represent various aspects of molecular biological systems meaningfully because they naturally provide a systems perspective of molecular interactions. In this respect, the functional understanding of the transcriptional regulatory network is considered as key to elucidate the functional organization of an organism.

Local network-based measures to assess the inferability of different regulatory networks

The purpose of this study is to compare the inferability of various synthetic as well as real biological regulatory networks. In order to assess differences we apply local network-based measures. That means, instead of applying global measures, we investigate and assess an inference algorithm locally, on the level of individual edges and subnetworks. We demonstrate the behaviour of our local network-based measures with respect to different regulatory networks by conducting large-scale simulations. As inference algorithm we use exemplarily ARACNE. The results from our exploratory analysis allow us not only to gain new insights into the strength and weakness of an inference algorithm with respect to characteristics of different regulatory networks, but also to obtain information that could be used to design novel problem-specific statistical estimators.

Restraing Regulatory Capture? Anglo America, Crisis Politics and Trajectories of Change in Global Financial Governance

A growing number of respected commentators now argue that regulatory capture of public agencies and public policy by leading banks was one of the main causal factors behind the financial crisis of 2007–2009, resulting in a permissive regulatory environment. This regulatory environment placed a faith in banks own internal risk models, contributed to pro-cyclical behaviour and turned a blind eye to excessive risk taking. The article argues that a form of ‘multi-level regulatory capture’ characterized the global financial architecture prior to the crisis. Simultaneously, regulatory capture fed off, but also nourished the financial boom, in a fashion that mirrored the life cycle of the boom itself. Minimizing future financial booms and crises will require continuous, conscious and explicit efforts to restrain financial regulatory capture now and into the future. The article assesses the extent to which this has been achieved in current global financial governance reform efforts and highlights some of the persistent difficulties that will continue to hamper efforts to restrain regulatory capture. The evidence concerning the extent to which regulatory capture is being effectively restrained is somewhat mixed, and where it is happening it is largely unintentional and accidental. Recent reforms have overlooked the political causes of the crisis and have failed to focus explicitly or systematically on regulatory capture.

Intermedin (Adrenomedullin-2) a novel counter-regulatory peptide in the cardiovascular and renal systems

Intermedin (IMD) is a novel peptide related to calcitonin gene-related peptide (CGRP) and adrenomedullin (AM). Proteolytic processing of a larger precursor yields a series of biologically active C-terminal fragments, IMD1–53, IMD1–47 and IMD8–47. IMD shares a family of receptors with AM and CGRP composed of a calcitonin-receptor like receptor (CALCRL) associated with one of three receptor activity modifying proteins (RAMP). Compared to CGRP, IMD is less potent at CGRP1 receptors but more potent at AM1 receptors and AM2 receptors; compared to AM, IMD is more potent at CGRP1 receptors but less potent at AM1 and AM2 receptors. The cellular and tissue distribution of IMD overlaps in some aspects with that of CGRP and AM but is distinct from both. IMD is present in neonatal but absent or expressed sparsely, in adult heart and vasculature and present at low levels in plasma. The prominent localization of IMD in hypothalamus and pituitary and in kidney is consistent with a physiological role in the central and peripheral regulation of the circulation and water-electrolyte homeostasis. IMD is a potent systemic and pulmonary vasodilator, influences regional blood flow and augments cardiac contractility. IMD protects myocardium from the deleterious effects of oxidative stress associated with ischaemia-reperfusion injury and exerts an anti-growth effect directly on cardiomyocytes to oppose the influence of hypertrophic stimuli. The robust increase in expression of the peptide in hypertrophied and ischaemic myocardium indicates an important protective role for IMD as an endogenous counter-regulatory peptide in the heart.

Inferring the conservative causal core of gene regulatory networks

Background
Inferring gene regulatory networks from large-scale expression data is an important problem that received much attention in recent years. These networks have the potential to gain insights into causal molecular interactions of biological processes. Hence, from a methodological point of view, reliable estimation methods based on observational data are needed to approach this problem practically.

Results
In this paper, we introduce a novel gene regulatory network inference (GRNI) algorithm, called C3NET. We compare C3NET with four well known methods, ARACNE, CLR, MRNET and RN, conducting in-depth numerical ensemble simulations and demonstrate also for biological expression data from E. coli that C3NET performs consistently better than the best known GRNI methods in the literature. In addition, it has also a low computational complexity. Since C3NET is based on estimates of mutual information values in conjunction with a maximization step, our numerical investigations demonstrate that our inference algorithm exploits causal structural information in the data efficiently.

Conclusions
For systems biology to succeed in the long run, it is of crucial importance to establish methods that extract large-scale gene networks from high-throughput data that reflect the underlying causal interactions among genes or gene products. Our method can contribute to this endeavor by demonstrating that an inference algorithm with a neat design permits not only a more intuitive and possibly biological interpretation of its working mechanism but can also result in superior results.

Harnessing naturally randomized transcription to infer regulatory relationships among genes

We develop an approach utilizing randomized genotypes to rigorously infer causal regulatory relationships among genes at the transcriptional level, based on experiments in which genotyping and expression profiling are performed. This approach can be used to build transcriptional regulatory networks and to identify putative regulators of genes. We apply the method to an experiment in yeast, in which genes known to be in the same processes and functions are recovered in the resulting transcriptional regulatory network.