Ascorbic acid induces an oxidative stress in CCRF cells activating the transcription factors AP-1 and NFRB

We have previously tested the effects of high dose AA supplements on human volunteers in terms of reducing DNA damage, as a possible mechanism of the vitamin’s proposed protective effect against cancer and detected a transient, pro-oxidant effect at high doses (500 mg/day). Herein, we present evidence of a pro-oxidant effect of the vitamin when added to CCRF cells at extracellular concentrations which mimic those present in human serum in vivo (50–150AM). The activation of the transcription factor AP-1 was optimal at 100 AM AA following 3h exposure at 37jC. A minimum dose of 50 AM of AA activated NFnB but there appeared to be no dose-dependent effect. Increases of 2–3 fold were observed for both transcription factors when cells were exposed to 100 AM AA for 3h, comparing well with the pro-oxidant effect of H2O2 at similar concentrations. In parallel experiments the activation of AP-1 (binding to DNA) was potentiated when cells were pre-incubated with AA prior to exposure with H2O2. Cycloheximide pretreatment (10 Ag/ml for 15min) caused a 50% inhibition of AP-1 binding to DNA suggesting that it was due to a combination of increasing the binding of pre-existing Fos and Jun and an increase in their de novo synthesis. Cellular localisation was confirmed by immunocytochemistry using antibodies specific for c-Fos and c-Jun proteins. These results suggest that extracellular AA can elicit an intracellular stress response resulting in the activation of the oxidative stress-responsive transcription factors AP-1 and NFnB. These transcription factors are involved in the induction of genes associated with an oxidative stress response, cell cycle arrest and DNA repair confirmed by our cDNA microarray analysis (Affymetrix). This may explain the abilty for AA to appear to inhibit 8-oxodG, yet simultaneously generate another oxidative stress biomarker, 8-oxo-dA. These results suggest a completely novel DNA repair action for AA. Whether this action is relevant to our in vivo findings will be the subject of our future research.

Local delivery of the KCa3.1 blocker, TRAM-34, prevents acute angioplasty-induced coronary smooth muscle phenotypic modulation and limits stenosis

Objective-We previously demonstrated that upregulation of intermediate-conductance Ca2+ -activated K+ channels (KCa 3.1) is necessary for mitogen-induced phenotypic modulation in isolated porcine coronary smooth muscle cells (SMCs). The objective of the present study was to determine the role of KCa3.1 in the regulation of coronary SMC phenotypic modulation in vivo using a swine model of postangioplasty restenosis. Methods and Results-Balloon angioplasty was performed on coronary arteries of swine using either noncoated or balloons coated with the specific KCa3.1 blocker TRAM-34. Expression of KCa3.1, c-jun, c-fos, repressor element-1 silencing transcription factor (REST), smooth muscle myosin heavy chain (SMMHC), and myocardin was measured using qRT-PCR in isolated medial cells 2 hours and 2 days postangioplasty. KCa3.1, c-jun, and c-fos mRNA levels were increased 2 hours postangioplasty, whereas REST expression decreased. SMMHC expression was unchanged at 2 hours, but decreased 2 days postangioplasty. Use of TRAM-34 coated balloons prevented KCa3.1 upregulation and REST downregulation at 2 hours, SMMHC and myocardin downregulation at 2 days, and attenuated subsequent restenosis 14 and 28 days postangioplasty. Immunohistochemical analysis demonstrated corresponding changes at the protein level. Conclusion-Blockade of KCa3.1 by delivery of TRAM-34 via balloon catheter prevented smooth muscle phenotypic modulation and limited subsequent restenosis. © 2008 American Heart Association, Inc.

Catching transcriptional regulation by thermostatistical modeling

Gene expression is frequently regulated by multiple transcription factors (TFs). Thermostatistical methods allow for a quantitative description of interactions between TFs, RNA polymerase and DNA, and their impact on the transcription rates. We illustrate three different scales of the thermostatistical approach: the microscale of TF molecules, the mesoscale of promoter energy levels and the macroscale of transcriptionally active and inactive cells in a cell population. We demonstrate versatility of combinatorial transcriptional activation by exemplifying logic functions, such as AND and OR gates. We discuss a metric for cell-to-cell transcriptional activation variability known as Fermi entropy. Suitability of thermostatistical modeling is illustrated by describing the experimental data on transcriptional induction of NF?B and the c-Fos protein.