Biologic-response-modifier-induced indoleamine 2,3-dioxygenase activity in human peripheral blood mononuclear cell cultures

Degradation of tryptophan to kynurenine, catalyzed by indoleamine 2,3-dioxygenase (IDO), has been augmented in human epithelial cell lines treated with human interferon-gamma (HuIFN-gamma). Several human biologic response modifiers, including HuIFN-gamma, HuIFN-beta, HuIFN-alpha, interleukin 2 (HuIL-2), and tumor necrosis factor alpha, have now been assessed for their ability to enhance tryptophan degradation in human peripheral blood mononuclear cell (PMC) cultures. PMC were isolated from normal donors, cultivated in RPMI 1640 medium containing [3H]tryptophan, and treated with individual biologic response modifiers. At various intervals, culture supernatants were removed, fractionated by reversed-phase high performance liquid chromatography, and radioactivity in resultant fractions was determined. Significantly increased amounts of tryptophan catabolites were observed after treatment with HuIFN-gamma, HuIFN-beta, HuIFN-alpha, and HuIL-2, but not human tumor necrosis factor alpha. Often, greater than 30% of available tryptophan was degraded by treated PMC cultures. Although antibodies to HuIFN-alpha, HuIFN-beta, and HuIFN-gamma specifically neutralized the induction of IDO activity in PMC by their respective HuIFN, only anti-HuIFN-gamma antibody also neutralized HuIL-2-induced IDO activity. Furthermore, T24 bladder carcinoma cells, in which IDO was induced by HuIFN-gamma but not by the other biologic response modifiers, were induced to degrade tryptophan by supernatants of HuIL-2-stimulated PMC cultures, but not by HuIFN-beta-stimulated PMC culture supernatants. Thus, whereas HuIL-2 indirectly induced IDO in PMC cultures by stimulating production of HuIFN-gamma, all cases of interferons appeared to induce IDO directly in PMC cultures.     

Kinetic Characterization of 100 Glycoside Hydrolase Mutants Enables the Discovery of Structural Features Correlated with Kinetic Constants

The use of computational modeling algorithms to guide the design of novel enzyme catalysts is a rapidly growing field. Force-field based methods have now been used to engineer both enzyme specificity and activity. However, the proportion of designed mutants with the intended function is often less than ten percent. One potential reason for this is that current force-field based approaches are trained on indirect measures of function rather than direct correlation to experimentally-determined functional effects of mutations. We hypothesize that this is partially due to the lack of data sets for which a large panel of enzyme variants has been produced, purified, and kinetically characterized. Here we report the k_cat and K_M values of 100 purified mutants of a glycoside hydrolase enzyme. We demonstrate the utility of this data set by using machine learning to train a new algorithm that enables prediction of each kinetic parameter based on readily-modeled structural features. The generated dataset and analyses carried out in this study not only provide insight into how this enzyme functions, they also provide a clear path forward for the improvement of computational enzyme redesign algorithms.     

The PPAR-alpha activator fenofibrate fails to provide myocardial protection in ischemia and reperfusion in pigs

Rodent studies suggest that peroxisome proliferator-activated receptor-alpha (PPAR-alpha) activation reduces myocardial ischemia-reperfusion (I/R) injury and infarct size; however, effects of PPAR-alpha activation in large animal models of myocardial I/R are unknown. We determined whether chronic treatment with the PPAR-alpha activator fenofibrate affects myocardial I/R injury in pigs. Domestic farm pigs were assigned to treatment with fenofibrate 50 mg.kg(-1).day(-1) orally or no drug treatment, and either a low-fat (4% by weight) or a high-fat (20% by weight) diet. After 4 wk, 66 pigs underwent 90 min low-flow regional myocardial ischemia and 120 min reperfusion under anesthetized open-chest conditions, resulting in myocardial stunning. The high-fat group received an infusion of triglyceride emulsion and heparin during this terminal experiment to maintain elevated arterial free fatty acid (FFA) levels. An additional 21 pigs underwent 60 min no-flow ischemia and 180 min reperfusion, resulting in myocardial infarction. Plasma concentration of fenofibric acid was similar to the EC50 for activation of PPAR-alpha in vitro and to maximal concentrations achieved in clinical use. Myocardial expression of PPAR-alpha mRNA was prominent but unaffected by fenofibrate treatment. Fenofibrate increased expression of carnitine palmitoyltransferase (CPT)-I mRNA in liver and decreased arterial FFA and lactate concentrations (each P < 0.01). However, fenofibrate did not affect myocardial CPT-I expression, substrate uptake, lipid accumulation, or contractile function during low-flow I/R in either the low- or high-fat group, nor did it affect myocardial infarct size. Despite expression of PPAR-alpha in porcine myocardium and effects of fenofibrate on systemic metabolism, treatment with this PPAR-alpha activator does not alter myocardial metabolic or contractile responses to I/R in pigs.     

Hierarchical commensurate and power prior models for adaptive incorporation of historical information in clinical trials

Bayesian clinical trial designs offer the possibility of a substantially reduced sample size, increased statistical power, and reductions in cost and ethical hazard. However when prior and current information conflict, Bayesian methods can lead to higher than expected type I error, as well as the possibility of a costlier and lengthier trial. This motivates an investigation of the feasibility of hierarchical Bayesian methods for incorporating historical data that are adaptively robust to prior information that reveals itself to be inconsistent with the accumulating experimental data. In this article, we present several models that allow for the commensurability of the information in the historical and current data to determine how much historical information is used. A primary tool is elaborating the traditional power prior approach based upon a measure of commensurability for Gaussian data. We compare the frequentist performance of several methods using simulations, and close with an example of a colon cancer trial that illustrates a linear models extension of our adaptive borrowing approach. Our proposed methods produce more precise estimates of the model parameters, in particular, conferring statistical significance to the observed reduction in tumor size for the experimental regimen as compared to the control regimen.     

IL-1beta stimulates rat cardiac fibroblast migration via MAP kinase pathways

The pro-inflammatory cytokines interleukin-1beta (IL-1beta), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-alpha) are elevated following acute myocardial infarction (MI) and have been implicated in the pathophysiology of cardiac disease progression. The cardiac fibroblast represents an important effector cell target for cytokine actions. In particular, cytokine-directed cardiac fibroblast migration is likely to impact both myocardial repair following acute MI and pathological myocardial remodeling in the progression to heart failure. In the present study, we examined the migratory response of neonatal rat cardiac fibroblasts to pro-inflammatory cytokines using modified Boyden chamber assays. On the basis of the knowledge of migration in other cell types, we hypothesized that members of the mitogen-activated protein kinase (MAPK) family may regulate this process. This possibility was addressed with the use of immunoblot detection of active phosphorylated MAPK species and pharmacological inhibitors for individual members of the MAPK cascades. IL-1beta stimulated robust and concentration-dependent increases in migration (maximum, 20-fold over control cells). TNF-alpha had lesser effect (fourfold increase over control). IL-6 did not induce migration. Activation of all three MAPK subfamilies (extracellular signal-regulated kinases, c-Jun NH(2)-terminal kinases, and p38) was shown to occur in response to cytokine stimulation. Fibroblast migration was attenuated by pharmacological inhibition of each MAPK subfamily. Understanding the regulation of cardiac fibroblast migration may provide insights in the search for therapies aimed at enhancing the functional nature of the remodeling process.     

Excess amino acid polymorphism in mitochondrial DNA: contrasts among genes from Drosophila, mice, and humans

Recent studies of mitochondrial DNA (mtDNA) variation in mammals and Drosophila have shown an excess of amino acid variation within species (replacement polymorphism) relative to the number of silent and replacement differences fixed between species. To examine further this pattern of nonneutral mtDNA evolution, we present sequence data for the ND3 and ND5 genes from 59 lines of Drosophila melanogaster and 29 lines of D. simulans. Of interest are the frequency spectra of silent and replacement polymorphisms, and potential variation among genes and taxa in the departures from neutral expectations. The Drosophila ND3 and ND5 data show no significant excess of replacement polymorphism using the McDonald-Kreitman test. These data are in contrast to significant departures from neutrality for the ND3 gene in mammals and other genes in Drosophila mtDNA (cytochrome b and ATPase 6). Pooled across genes, however, both Drosophila and human mtDNA show very significant excesses of amino acid polymorphism. Silent polymorphisms at ND5 show a significantly higher variance in frequency than replacement polymorphisms, and the latter show a significant skew toward low frequencies (Tajima's D = -1.954). These patterns are interpreted in light of the nearly neutral theory where mildly deleterious amino acid haplotypes are observed as ephemeral variants within species but do not contribute to divergence. The patterns of polymorphism and divergence at charge-altering amino acid sites are presented for the Drosophila ND5 gene to examine the evolution of functionally distinct mutations. Excess charge-altering polymorphism is observed at the carboxyl terminal and excess charge-altering divergence is detected at the amino terminal. While the mildly deleterious model fits as a net effect in the evolution of nonrecombining mitochondrial genomes, these data suggest that opposing evolutionary pressures may act on different regions of mitochondrial genes and genomes.