Assessment of structural similarities in chick oviduct progesterone receptor subunits by partial proteolysis of photoaffinity-labeled proteins

Partial proteolytic fragmentation of the two chick oviduct progesterone receptor subunits was used to identify structural features shared by the two proteins. Both subunits can be photoaffinity labeled at their hormone-binding sites (Birnbaumer, M., Schrader, W. T., and O'Malley, B. W. (1983) J. Biol. Chem. 258, 1637-1644) using the radioactive steroid [methyl-3H] 17 alpha, 21-dimethyl-19-nor-pregn-4,9-diene-3,20-dione. Native subunits A (Mr = 79,000) and B (Mr = 108,000) were partially purified, photoaffinity-labeled, and then subjected to various mild proteolytic digestions. Labeled fragments were analyzed by fluorography after electrophoresis of the digests under denaturing conditions. Digestion patterns were characteristic for each protease tested. However, fragments from both A and B were indistinguishable for all peptides of less than Mr = 60,000. Time course studies demonstrated the sequential production of progressively smaller discrete fragments in a manner consistent with a precursor-product relationship among them and established the existence of similar structural domains resistant to proteolysis in both proteins. Autoradiographic peptide maps were obtained by 125I-labeling of pure A and B protein isolated by two-dimensional gel electrophoresis followed by exhaustive tryptic digestion and two-dimensional separation. These studies revealed that a significant proportion of the smaller A protein differs in its primary sequence from that of the B protein which excludes the possibility of their sharing a precursor-product relationship. We conclude that B and A subunits are separate proteins with common structural features in the native state, but with considerable amino acid sequence differences. The simplest hypothesis consistent with these findings is that B and A are the products of two separate genes which have diverged to give rise to two different but related proteins that fold in such a manner as to be almost indistinguishable by proteolytic attack of their native conformation.     

Identification of a Caldariomyces fumago Mutant Secreting an Inactive Form of Chloroperoxidase Lacking the Heme Group and N-Glycans

By mutant colony screening of Caldariomyces fumago a mutant was isolated which was slightly greenish on fructose minimal medium and grew slower in comparison to the wild type. The supernatant samples lacked the Soret band typical for the heme group of the CPO and nearly no CPO activity was detected. SDS-PAGE analysis of mutant culture supernatant samples showed production of a 38–40 kDa protein while wild type samples contain the 42 kDa CPO protein. Protein identification using nanoLC-ESI-MS/MS was performed and based on three peptides the protein in the mutant culture was identified as CPO. No differences in the CPO gene sequences of wild type and mutant were found indicating a post-translational defect in protein maturation. Deglycosylation experiments using CPO from wild type and mutant were carried out. After removing N-linked oligosaccharides from wild type CPO a protein band at 38–40 kDa was detected. Our results reveal that the mutant protein lacks the heme group as well as the N-glycans.     

Unbiased screening of polymer libraries to define novel substrates for functional hepatocytes with inducible drug metabolism

Maintaining stable differentiated somatic cell function in culture is essential to a range of biological endeavors. However, current technologies, employing, for example, primary hepatic cell culture (essential to the development of a bio-artificial liver and improved drug and toxicology testing), are limited by supply, expense, and functional instability even on biological cell culture substrata. As such, novel biologically active substrates manufacturable to GMP standards have the potential to improve cell culture-based assay applications. Currently hepatic endoderm (HE) generated from pluripotent stem cells is a genotypically diverse, cheap, and stable source of "hepatocytes"; however, HE routine applications are limited due to phenotypic instability in culture. Therefore a manufacturable subcellular matrix capable of supporting long-term differentiated cell function would represent a step forward in developing scalable and phenotypically stable hESC-derived hepatocytes. Adopting an unbiased approach we screened polymer microarrays and identified a polyurethane matrix which promoted HE viability, hepatocellular gene expression, drug-inducible metabolism, and function. Moreover, the polyurethane supported, when coated on a clinically approved bio-artificial liver matrix, long-term hepatocyte function and growth. In conclusion, our data suggest that an unbiased screening approach can identify cell culture substrate(s) that enhance the phenotypic stability of primary and stem cell-derived cell resources.     

Food effects on the absorption and pharmacokinetics of cocoa flavanols

Macronutrients in food and gastric acid are known to have a pronounced effect on the metabolism of many xenobiotics, an effect that impacts their efficacy as bioactive agents. In this investigation we assessed the impact of select food treatments and the histamine H(2)-receptor antagonist Famotidine (Pepcid-AC) on flavanol absorption and metabolism. Four crossover intervention studies were conducted with 6 subjects each. Volunteers consumed sugar-free, flavanol-rich cocoa (0.125 g/kg body wt) alone, with macronutrient-rich foods (8.75 or 17.5 kJ/kg subject body wt) or Famotidine (Pepcid-AC). Blood samples were drawn at 5 time points including baseline. Plasma samples were analyzed for epicatechin and catechin flavanols by HPLC. Pharmacokinetic parameters were assessed using non-compartmental methodology. When provided at 17.5 kJ/kg subject body weight (approximately 4 kcal/kg), sugar and bread test meals increased flavanol area under the curve (AUC) values to 140% of control values (P < 0.05). A corresponding tendency for plasma antioxidant capacity to increase was observed for the cocoa treatment at 1.5 and 2.5 h (P < 0.17, P < 0.06, respectively). The ability of treatment meals to affect AUC values was positively correlated with treatment carbohydrate content (r = 0.83; P< 0.02). In contrast to carbohydrate rich meals, lipid and protein rich meals and Famotidine treatment had minimal effects on flavanol absorption. Based on C(max) and AUC values, this data suggests that the uptake of flavanols can be increased significantly by concurrent carbohydrate consumption.     

A Home-Based Educational Intervention Improves Patient Activation Measures and Diabetes Health Indicators among Zuni Indians

Introduction

One in three people will be diagnosed with diabetes by 2050, and the proportion will likely be higher among Native Americans. Diabetes control is currently suboptimal in underserved populations despite a plethora of new therapies. Patient empowerment is a key determinant of diabetes control, but such empowerment can be difficult to achieve due to resource limitation and cultural, language and health literacy barriers. We describe a home-based educational intervention using Community Health Representatives (CHRs), leading to improvement in Patient Activation Measures scores and clinical indicators of diabetes control.

Methods

Sixty participants with type 2 diabetes (T2D) completed a baseline evaluation including physical exam, Point of Care (POC) testing, and the Patient Activation Measure (PAM) survey. Participants then underwent a one hour group didactic session led by Community Health Representatives (CHRs) who subsequently carried out monthly home-based educational interventions to encourage healthy lifestyles, including diet, exercise, and alcohol and cigarette avoidance until follow up at 6 months, when clinical phenotyping and the PAM survey were repeated.

Results

PAM scores were increased by at least one level in 35 (58%) participants, while 24 participants who started at higher baseline score did not change. Six months after intervention, mean levels of A1C decreased by 0.7 ± 1.2%; fasting blood glucose decreased by 24.0 ± 38.0 mg/dl; BMI decreased by 1.5 ± 2.1 kg/m2; total cholesterol decreased by 12.0± 28.0 mg/dl; and triglycerides decreased by 52.0 ± 71.0 mg/dl. All of these changes were statistically significant (p<0.05).

Conclusion

This six month, CHR led and community-oriented educational intervention helps inform standards of practice for the management of diabetes, engages diabetic populations in their own care, and reduces health disparities for the underserved population of Zuni Indians.

Trial Registration

ClinicalTrials.gov NCT02339311     

Development of progesterone receptor antagonists from 1,2-dihydrochromeno[3,4-f]quinoline agonist pharmacophore

A series of 1,2-dihydrochromeno[3,4-f]quinoline derivatives was synthesized and tested in biological assays to evaluate the nonsteroidal progesterone receptor modulator pharmacophore (4) as antiprogestins. A number of potent analogues were identified by modification of the substituents at the D-ring.     

CASPAR: a hierarchical bayesian approach to predict survival times in cancer from gene expression data

MOTIVATION: DNA microarrays allow the simultaneous measurement of thousands of gene expression levels in any given patient sample. Gene expression data have been shown to correlate with survival in several cancers, however, analysis of the data is difficult, since typically at most a few hundred patients are available, resulting in severely underdetermined regression or classification models. Several approaches exist to classify patients in different risk classes, however, relatively little has been done with respect to the prediction of actual survival times. We introduce CASPAR, a novel method to predict true survival times for the individual patient based on microarray measurements. CASPAR is based on a multivariate Cox regression model that is embedded in a Bayesian framework. A hierarchical prior distribution on the regression parameters is specifically designed to deal with high dimensionality (large number of genes) and low sample size settings, that are typical for microarray measurements. This enables CASPAR to automatically select small, most informative subsets of genes for prediction. RESULTS: Validity of the method is demonstrated on two publicly available datasets on diffuse large B-cell lymphoma (DLBCL) and on adenocarcinoma of the lung. The method successfully identifies long and short survivors, with high sensitivity and specificity. We compare our method with two alternative methods from the literature, demonstrating superior results of our approach. In addition, we show that CASPAR can further refine predictions made using clinical scoring systems such as the International Prognostic Index (IPI) for DLBCL and clinical staging for lung cancer, thus providing an additional tool for the clinician. An analysis of the genes identified confirms previously published results, and furthermore, new candidate genes correlated with survival are identified.