11 research outputs found

    Modeling and targeting signal transduction pathways governing cell migration

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    Cell migration is a complex biophysical event that is dysregulated in a variety of human diseases including cancer. The ability of tumor cells to migrate enables cancer dissemination causing significant mortality thus making it an important therapeutic target. Motility is exhibited epigenetically by activation of numerous signaling pathways that transmit extracellular cues to the final effectors of cell movement. Such signaling switches are a part of larger and highly complex signaling (proteomic) networks that are under the control of numerous activators or inhibitors. Although majority of the proteins that are 'required' during cell motility have been identified, it is yet unclear wherein they fit within the signaling network to govern motility. Thus, a 'systems biology' approach is needed to understand the complex interplay of signaling cascades in mediating cell motility so that better therapeutic targets can be defined. We utilized a mathematical modeling approach, called decision tree analysis to map the interplay between five key signaling proteins known to regulate vital biophysical processes of fibroblast motility downstream of EGF receptor activation. Interestingly, our model identified myosin light chain (MLC) mediated cell contractility as a crucial node for maximal motility. Even more non-intuitively the decision tree model predicted that subtotal inhibition of MLC can actually increase motility. Confirmatory experiments with fibroblasts and cancer cells have shown that to be the case. Since the model proposed that total abrogation of contractility can limit cell migration, we asked if such an intervention can limit tumor invasion. Since PKCδ is implicated in EGF receptor mediated transcellular contractility, we abrogated PKCδ using pharmacological (Rottlerin) and molecular (RNAi) interventions. Such depletion of PKCδ reduced migration as well as invasiveness of prostate carcinoma cells predominantly by decreasing their contractility through myosin light chain (MLC). Additionally, activation of PKCδ correlated with human prostate cancer progression as assessed by immunohistochemistry of prostate tissue sections. In summation our studies illustrate the importance of quantitative (total versus subtotal) disruption of key signaling nodes in mediating a desired cell response. Novel computational modeling approaches are needed to identify newer molecular switches from existing proteomic networks that can be explored, using classical experimental methods, as therapeutic targets

    Design and baseline characteristics of the finerenone in reducing cardiovascular mortality and morbidity in diabetic kidney disease trial

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    Background: Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. Patients and Methods: The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate >= 25 mL/min/1.73 m(2) and albuminuria (urinary albumin-to-creatinine ratio >= 30 to <= 5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level alpha = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Conclusions: FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049

    Pathology

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    This dissertation was presented b

    Decision tree modeling predicts effects of inhibiting contractility signaling on cell motility

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    Background: Computational models of cell signaling networks typically are aimed at capturing dynamics of molecular components to derive quantitative insights from prior experimental data, and to make predictions concerning altered dynamics under different conditions. However, signaling network models have rarely been used to predict how cell phenotypic behaviors result from the integrated operation of these networks. We recently developed a decision tree model for how EGF-induced fibroblast cell motility across two-dimensional fibronectin-coated surfaces depends on the integrated activation status of five key signaling nodes, including a proximal regulator of transcellular contractile force generation, MLC (myosin light chain) [Hautaniemi et al, Bioinformatics 21: 2027 {2005}], but we have not previously attempted predictions of new experimental effects from this model. Results: In this new work, we construct an improved decision tree model for the combined influence of EGF and fibronectin on fibroblast cell migration based on a wider spectrum of experimental protein signaling and cell motility measurements, and directly test a significant and non-intuitive a priori prediction for the outcome of a targeted molecular intervention into the signaling network: that partially reducing activation of MLC would increase cell motility on moderately adhesive surfaces. This prediction was indeed confirmed experimentally: partial inhibition of the activating MLC kinase (MLCK) upstream using the pharmacologic agent ML-7 resulted in increased motility of NR6 fibroblasts. We further extended this exciting finding by showing that partial reduction of MLC activation similarly enhanced the transmigration of the human breast carcinoma cell line MDA-213 through a Matrigel barrier. Conclusion: These findings specifically highlight a central regulatory role for transcellular contractility in governing cell motility, while at the same time demonstrating the value of a decision tree approach to a systems "signal-response" model in discerning non-intuitive behavior arising from integrated operation a cell signaling network.National Institute of General Medical Sciences (U.S.) (Cell Migration Consortium grant U54-GM64346)National Institute of General Medical Sciences (U.S.) (grant R01-GM69668)United States. National Cancer Institute.Integrative Cancer Biology Program (grant U54-CA112967)Biocentrum Helsink

    Pharmacological inhibition of S-nitrosoglutathione reductase improves endothelial vasodilatory function in rats in vivo.

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    Nitric oxide (NO) exerts a wide range of cellular effects in the cardiovascular system. NO is short lived, but S-nitrosoglutathione (GSNO) functions as a stable intracellular bioavailable NO pool. Accordingly, increased levels can facilitate NO-mediated processes, and conversely, catabolism of GSNO by the regulatory enzyme GSNO reductase (GSNOR) can impair these processes. Because dysregulated GSNOR can interfere with processes relevant to cardiovascular health, it follows that inhibition of GSNOR may be beneficial. However, the effect of GSNOR inhibition on vascular activity is unknown. To study the effects of GSNOR inhibition on endothelial function, we treated rats with a small-molecule inhibitor of GSNOR (N6338) that has vasodilatory effects on isolated aortic rings and assessed effects on arterial flow-mediated dilation (FMD), an NO-dependent process. GSNOR inhibition with a single intravenous dose of N6338 preserved FMD (15.3 ± 5.4 vs. 14.2 ± 6.3%, P = nonsignificant) under partial NO synthase inhibition that normally reduces FMD by roughly 50% (14.1 ± 2.9 vs. 7.6 ± 4.4%, P &lt; 0.05). In hypertensive rats, daily oral administration of N6338 for 14 days reduced blood pressure (170.0 ± 5.3/122.7 ± 6.4 vs. 203.8 ± 1.9/143.7 ± 7.5 mmHg for vehicle, P &lt; 0.001) and vascular resistance index (1.5 ± 0.4 vs. 3.2 ± 1.0 mmHg · min · l(-1) for vehicle, P &lt; 0.001), and restored FMD from an initially impaired state (7.4 ± 1.7%, day 0) to a level (13.0 ± 3.1%, day 14, P &lt; 0.001) similar to that observed in normotensive rats. N6338 also reversed the pathological kidney changes exhibited by the hypertensive rats. GSNOR inhibition preserves FMD under conditions of impaired NO production and protects against both microvascular and conduit artery dysfunction in a model of hypertension
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