Development of three parallel cytochrome P450 enzyme affinity detection systems coupled on-line to gradient high-performance liquid chromatography.

A high resolution screening (HRS) technology is described, in which gradient high-performance liquid chromatography (HPLC) is connected on-line to three parallel placed bioaffinity detection systems containing mammalian cytochromes P450 (P450s). The three so-called enzyme affinity detection (EAD) systems contained, respectively, liver microsomes from rats induced by beta-naphthoflavone (CYP1A activity), phenobarbital (CYP2B activity), and dexamethasone (CYP3A activity). Each P450-EAD system was optimized for enzyme, substrate, and organic modifier (isopropyl alcohol, methanol, and acetonitrile) in flow injection analysis mode. Characteristic P450 ligands were used to validate the P450-EAD systems. IC(50) values of the ligands were measured and found to be similar to those obtained with conventional microtiter plate reader assays. Detection limits (n = 3; signal-to-noise ratio = 3) of potent inhibitors ranged from 1 to 3 pmol for CYP1A activity, 4 to 17 pmol for CYP2B activity, and 4 to 15 pmol for CYP3A activity. The three optimized P450-EAD systems were subsequently coupled to gradient HPLC and used to screen compound mixtures for individual ligands. Finally, to increase analysis efficiency, a HRS system was constructed in which all three P450-EAD systems were coupled on-line and in parallel to gradient HPLC. The triple parallelized P450-EAD system was shown to enable rapid profiling of individual components in complex mixtures for inhibitory activity to three different P450s.     

Electrodynamics and ultimate SNR in parallel MR imaging.

The purpose of this article is to elucidate inherent limitations to the performance of parallel MRI. The study focuses on the ultimate signal-to-noise ratio (SNR), which refers to the maximum SNR permitted by the electrodynamics of the signal detection process. Using a spherical model object, it is shown that the behavior of the ultimate SNR imposes distinct limits on the acceleration rate in parallel imaging. For low and moderate acceleration, the ultimate SNR performance is nearly optimal, with geometry factors close to 1. However, for high reduction factors beyond a critical value, the ultimate performance deteriorates rapidly, corresponding to exponential growth of the geometry factor. The transition from optimal to deteriorating performance depends on the electrodynamic characteristics of the detected RF fields. In the near-field regime, i.e., for low B0 and small object size, the critical reduction factor is constant and approximately equal to four for 1D acceleration in the sphere. In the far-field wave regime the critical reduction factor is larger and increases both with B0 and object size. Therefore, it is concluded that parallel techniques hold particular promise for human MR imaging at very high field.     

Vulvar leiomyomatosis in a patient with esophagogastric leiomyomatosis: review of the syndrome

A case of vulvar leiomyomatosis in a young adult with a history of esophagogastrectomy as a child for esophagogastric leiomyomatosis is presented. The steroid receptor profile of the tumor is described. Therapy with a combination of gonadotropin suppression and surgery was undertaken. The literature pertaining to this rare combination is discussed.     

Array compression for MRI with large coil arrays.

Arrays with large numbers of independent coil elements are becoming increasingly available as they provide increased signal-to-noise ratios (SNRs) and improved parallel imaging performance. Processing of data from a large set of independent receive channels is, however, associated with an increased memory and computational load in reconstruction. This work addresses this problem by introducing coil array compression. The method allows one to reduce the number of datasets from independent channels by combining all or partial sets in the time domain prior to image reconstruction. It is demonstrated that array compression can be very effective depending on the size of the region of interest (ROI). Based on 2D in vivo data obtained with a 32-element phased-array coil in the heart, it is shown that the number of channels can be compressed to as few as four with only 0.3% SNR loss in an ROI encompassing the heart. With twofold parallel imaging, only a 2% loss in SNR occurred using the same compression factor.     

Free thyroxine and 3,3',5'-triiodothyronine levels in cerebrospinal fluid in patients with endogenous depression

Total and free concentrations of T4 and rT3 in serum and cerebrospinal fluid were estimated by ultrafiltration in 12 patients with unipolar endogenous depression before and after electroconvulsive treatment. Recovery from depression resulted in a decrease in CSF concentrations of free T4 (median) (26.2 to 21.4 pmol/l, p less than 0.02) and free rT3 (14.1 to 12.3 pmol/l, p less than 0.05). Concentrations of free T4 in the cerebrospinal fluid were lower than those in serum (p less than 0.02), the ratio being 0.6. In contrast, levels of free rT3 in the cerebrospinal fluid were considerably higher than those found in serum (p less than 0.01), the ratio being 25. These ratios did not change following recovery from depression. In 9 patients with nonthyroidal somatic illness, concentrations of free T4 and rT3 in the cerebrospinal fluid were similar to those found in patients with endogenous depression, whereas 4 hypothyroid patients and one hyperthyroid patient had considerably lower and higher, respectively, concentrations of both free T4 and rT3. In conclusion, levels of free T4 and free rT3 in the cerebrospinal fluid are increased during depression compared with levels after recovery, probably reflecting an increased supply of T4 from serum and an increased production of rT3 from T4 in the brain. The data also suggest that the transport of iodothyronines between serum and the cerebrospinal fluid is restricted.     

Logistic regression in case-control studies: The effect of using independent as dependent variables

In case-control studies, cases are sampled separately from controls. In such studies the primary analysis concerns the estimation of the effect of covariables on being a case or a control. To explore causal pathways, further secondary analysis could concern the relationships among the covariables. In this paper the validity of such secondary analysis is addressed. In particular, the use of multiple logistic regression in case-control studies where the dependent variable is not the case/control indicator is explored. It is shown that only under very restrictive conditions will sample regression coefficients correctly estimate their true value. In many situations, it may be valid to regress one covariable on others in the control group, but not in the case group or the combined sample. This principle is illustrated by a study of sexually transmitted disease in Kenya.