A Novel Functional Domain of Tab2 Involved in the Interaction with Estrogen Receptor Alpha in Breast Cancer Cells.

Tab2, originally described as a component of the inflammatory pathway, has been implicated in phenomena of gene de-repression in several contexts, due to its ability to interact with the NCoR corepressor. Tab2 interacts also with steroid receptors and dismisses NCoR from antagonist-bound Estrogen and Androgen Receptors on gene regulatory regions, thus modifying their transcriptional activity and leading to pharmacological resistance in breast and prostate cancer cells. We demonstrated previously that either Tab2 knock-down, or a peptide mimicking the Estrogen Receptor alpha domain interacting with Tab2, restore the antiproliferative response to Tamoxifen in Tamoxifen-resistant breast cancer cells. In this work, we map the domain of Tab2 responsible of Estrogen Receptor alpha interaction. First, using both co-immunoprecipitation and pull-down with recombinant proteins, we found that the central part of Tab2 is primarily responsible for this interaction, and that this region also interacts with Androgen Receptor. Then, we narrowed down the essential interaction region by means of competition assays using recombinant protein pull-down. The interaction motif was finally identified as a small region adjacent to, but not overlapping, the Tab2 MEKK1 phosphorylation sites. A synthetic peptide mimicking this motif efficiently displaced Tab2 from interacting with recombinant Estrogen Receptor alpha in vitro, prompting us to test its efficacy using derivatives of the MCF7 breast carcinoma cell lines that are spontaneously resistant to Tamoxifen. Indeed, we observed that this mimic peptide, made cell-permeable by addition of the TAT minimal carrier domain, reduced the growth of Tamoxifen-resistant MCF7 cells in the presence of Tamoxifen. These data indicate a novel functional domain of the Tab2 protein with potential application in drug design.

Intracellular accumulation of ritonavir combined with different protease inhibitors and correlations between concentrations in plasma and peripheral blood mononuclear cells.

OBJECTIVES: Ritonavir, used at low doses as a boosting agent of other protease inhibitors (PIs), is known to be associated with metabolic complications and gastrointestinal disturbances. The rate of accumulation of ritonavir within cells is still debated due to scarce data and methodological limitations. Therefore, our aim was to evaluate intracellular ritonavir penetration when used with different boosted PIs in the clinical setting. METHODS: Patients administered with atazanavir/ritonavir (300/100 mg, once daily), darunavir/ritonavir [600/100 mg, twice daily (darunavir-600) and 800/100 mg, once daily (darunavir-800)], lopinavir/ritonavir (400/100 mg, twice daily) and tipranavir/ritonavir (500/200 mg, twice daily) were considered. Blood sampling at the end of the dosing interval (Ctrough) was performed. Peripheral blood mononuclear cell (PBMC)-associated and plasma ritonavir and PI concentrations were measured by validated HPLC methods. PBMC count and individual mean cell volume (MCV) were measured using a Coulter Counter instrument. RESULTS: One hundred patients were enrolled. Frequencies of ritonavir-boosted PIs were atazanavir, 37%; darunavir-600, 23%; lopinavir, 19%; tipranavir, 13%; and darunavir-800, 8%. The median intracellular and plasma concentrations of ritonavir were 1279 ng/mL (IQR 727-2087) and 170 ng/mL (IQR 82-384), respectively, accounting for a cellular accumulation ratio of 7.69 (5.7-10.9). Significant differences in ritonavir intracellular concentrations emerged among different PIs (P<0.001): specifically between darunavir-600 and atazanavir (P<0.001), between darunavir-600 and tipranavir (P=0.009), between atazanavir and lopinavir (P<0.001) and between lopinavir and tipranavir (P=0.027). CONCLUSIONS: Our study showed a higher rate of ritonavir intracellular accumulation than previously reported, possibly due to the more accurate calculation of intracellular concentrations by MCV. The ratio varied according to concomitantly administered PIs, suggesting their influence on the rate of ritonavir intracellular penetration.

Evaluation of the mean corpuscular volume of peripheral blood mononuclear cells of HIV patients by a coulter counter to determine intracellular drug concentrations.

The mean corpuscular volume (MCV) of peripheral blood mononuclear cells (PBMCs) was determined by Coulter Counter, and data were used to calculate the intracellular drug concentrations. A total of 574 PBMC samples were collected from 190 patients. The MCV was 282.9 fl (minimum, 207.0; maximum, 354.6), with a standard deviation of 8.8%. Previous reports have often used a fixed value of 400 fl for the MCV, which may result in artificially low estimates of the intracellular concentrations of antivirals.

A HPLC-MS method for the simultaneous quantification of fourteen antiretroviral agents in peripheral blood mononuclear cell of HIV infected patients optimized using medium corpuscular volume evaluation.

A sensitive and accurate high performance liquid chromatography-mass spectrometric (HPLC-MS) method for the intracellular determination of 14 antiretroviral drugs in peripheral blood mononuclear cells (PBMCs) for HIV+ patients was validated. PBMCs are isolated by Ficoll density gradient centrifugation and cells count and the relative mean volume is performed with a Coulter(®) instrument. Extraction of drugs from PBMCs pellets was obtained with methanol:water (70:30, v/v), with quinoxaline added as internal standard, after a sonication step. Supernatant was dried and then dissolved in water/acetonitrile (60/40, v/v), before injection into a 2.1 mm×150 mm Atlantis(®) T3 3µ column. Chromatographic separations were performed using a gradient program with a mixture of water (0.05% formic acid), as mobile phase A and acetonitrile (0.05% formic acid), as mobile phase B. Analytes quantification was performed by electro-spray ionisation-single quadrupole mass spectrometry using the selected ion recording (SIR) detection mode. The positive ionization was used for the HIV protease inhibitors (PIs) indinavir, saquinavir, nelfinavir, nelfinavir M8 metabolite, amprenavir, darunavir, atazanavir, ritonavir, lopinavir, tipranavir, the integrase inhibitor (II) raltegravir and the non-nucleoside reverse transcriptase inhibitors (NNRTIs) nevirapine and etravirine, while the negative ionization is applied for efavirenz. The calibration curves were built using blank PBMCs spiked with antiretroviral drugs at concentrations ranging from 0.1 to 32 ng/mL (1-320 ng/mL for tipranavir) and fitted to a quadratic regression model weighted by 1/X. The mean extraction recovery for all PIs, II and NNRTIs was always above 82%. The method was precise, with a range of intra/inter-day percent standard deviation within 2.6-14.8%, and accurate with mean of percent coefficient of variation (CV%) from nominal values -7.85 to +9.7%. Each drug concentration evaluated was expressed in ng/mL and optimized using each patient medium corpuscolar volume and cell number. This analytical method is routinely used in our clinical research center for the assessment of intracellular levels of all PIs, raltegravir and NNRTIs commercially available at present.