Pharmacodynamics of Propranolol in Renal Failure

The pharmacodynamics of propranolol were studied in patients with renal functional impairment. ¹⁴C-labelled propranolol was given either intravenously or by mouth and the disappearance rates of propranolol, 4-hydroxypropranolol, and total radioactive metabolites measured. The renal clearance of total radioactive compounds is directly related to renal function. The half-life of total radioactivity is greatly lengthened in the presence of severe renal failure while the half-lives of the pharmacologically active propranolol and 4-hydroxymetabolite are slightly reduced. There is a suggestion that the absorption of propranolol is delayed in renal failure. No known pharmacological action or side effects from the other metabolic products of propranolol have been recognized. There is still too little well-documented evidence concerning the beta-blocking activity of the unidentified major metabolites of propranolol to suggest any alteration in the dosage regimen used in renal failure.     

Effects of lead on the renal response to extracellular volume expansion

Subacute lead exposure has been observed to inhibit the natriuretic response to isotonic saline expansion in adult female rats. Three-week exposure to 0.5% lead acetate in drinking water resulted in a moderately high blood lead concentration of 57 micrograms/100 ml and up to 60% inhibition of the natriuretic response to extracellular volume expansion. This ability of lead to inhibit natriuresis following volume expansion (an induced stress) may be a more sensitive index of lead poisoning than alterations of renal function in nonstressed animals. Lead exposure had no effect on GFR or plasma aldosterone concentrations, and in the presence of large doses of DOCA (a mineralocorticoid) this inhibitory effect of lead was still persistent. Amiloride completely blocked the antinatriuretic effect of lead in volume-expanded lead-poisoned animals, causing a twofold increase in water and electrolyte excretion while having minimal effects on volume-expanded controls. It is concluded that lead interferes with the action of a "third factor," controlling natriuresis.     

The relationship between ATP content and motility of bovine spermatozoa

The ATP content of bovine semen was measured using a bioluminescent technique. No ATP was detected in seminal plasma or diluent. The mean concentration of ATP (+/- sd) in ejaculated semen was 76.5+/-38.21 n moles ATP/10(8) spermatozoa and in diluted, frozen and thawed semen 10.00+/-4.74 n moles ATP/10(8) spermatozoa. The observed motilities of ejaculated and of diluted, frozen and thawed semen were linearly related to the ATP content r=0.652; p<0.01 and r=0.466; p<0.001 respectively). The mean ATP content and motility calculated for each bull were similarly related (r=0.857; p<0.02 and r=0.607; p<0.05). The technique shows promise in providing an objective measure of spermatozoan activity.     

CoaSim: A flexible environment for simulating genetic data under coalescent models

Background  

Coalescent simulations are playing a large role in interpreting large scale intra-specific sequence or polymorphism surveys and for planning and evaluating association studies. Coalescent simulations of data sets under different models can be compared to the actual data to test the importance of different evolutionary factors and thus get insight into these.     

A combined genomewide linkage scan of 1,233 families for prostate cancer-susceptibility genes conducted by the international consortium for prostate cancer genetics

Evidence of the existence of major prostate cancer (PC)–susceptibility genes has been provided by multiple segregation analyses. Although genomewide screens have been performed in over a dozen independent studies, few chromosomal regions have been consistently identified as regions of interest. One of the major difficulties is genetic heterogeneity, possibly due to multiple, incompletely penetrant PC-susceptibility genes. In this study, we explored two approaches to overcome this difficulty, in an analysis of a large number of families with PC in the International Consortium for Prostate Cancer Genetics (ICPCG). One approach was to combine linkage data from a total of 1,233 families to increase the statistical power for detecting linkage. Using parametric (dominant and recessive) and nonparametric analyses, we identified five regions with “suggestive” linkage (LOD score >1.86): 5q12, 8p21, 15q11, 17q21, and 22q12. The second approach was to focus on subsets of families that are more likely to segregate highly penetrant mutations, including families with large numbers of affected individuals or early age at diagnosis. Stronger evidence of linkage in several regions was identified, including a “significant” linkage at 22q12, with a LOD score of 3.57, and five suggestive linkages (1q25, 8q13, 13q14, 16p13, and 17q21) in 269 families with at least five affected members. In addition, four additional suggestive linkages (3p24, 5q35, 11q22, and Xq12) were found in 606 families with mean age at diagnosis of 65 years. Although it is difficult to determine the true statistical significance of these findings, a conservative interpretation of these results would be that if major PC-susceptibility genes do exist, they are most likely located in the regions generating suggestive or significant linkage signals in this large study.     

The role of EGF receptor transmodulation in embryonal carcinoma-derived growth factor-induced mitogenesis.

Exposure of quiescent 10T1/2 fibroblast cells to embryonal carcinoma-derived growth factor (ECDGF) results in a rapid temperature and ECDGF concentration-dependent inhibition of [125I]EGF binding to the epidermal growth factor (EGF) receptor (transmodulation). ECDGF predominantly inhibits the association of [125I]EGF with a high affinity subclass of EGF receptors, and induces increased phosphorylation of the EGF receptor on serine and threonine residues. No mitogenic effect of EGF can be detected in the presence of ECDGF concentrations which induce maximal EGF receptor transmodulation. ECDGF-induced EGF receptor transmodulation is sensitive to phorbol ester-induced desensitization whereas ECDGF-induced DNA synthesis is unaffected by prolonged pre-treatment with biologically active phorbol ester. These findings suggest that EGF receptor transmodulation is not essential for ECDGF mitogenicity but may inhibit EGF-induced DNA synthesis.     

A Simple Test of Class-Level Genetic Association Can Reveal Novel Cardiometabolic Trait Loci

Background

Characterizing the genetic determinants of complex diseases can be further augmented by incorporating knowledge of underlying structure or classifications of the genome, such as newly developed mappings of protein-coding genes, epigenetic marks, enhancer elements and non-coding RNAs.

Methods

We apply a simple class-level testing framework, termed Genetic Class Association Testing (GenCAT), to identify protein-coding gene association with 14 cardiometabolic (CMD) related traits across 6 publicly available genome wide association (GWA) meta-analysis data resources. GenCAT uses SNP-level meta-analysis test statistics across all SNPs within a class of elements, as well as the size of the class and its unique correlation structure, to determine if the class is statistically meaningful. The novelty of findings is evaluated through investigation of regional signals. A subset of findings are validated using recently updated, larger meta-analysis resources. A simulation study is presented to characterize overall performance with respect to power, control of family-wise error and computational efficiency. All analysis is performed using the GenCAT package, R version 3.2.1.

Results

We demonstrate that class-level testing complements the common first stage minP approach that involves individual SNP-level testing followed by post-hoc ascribing of statistically significant SNPs to genes and loci. GenCAT suggests 54 protein-coding genes at 41 distinct loci for the 13 CMD traits investigated in the discovery analysis, that are beyond the discoveries of minP alone. An additional application to biological pathways demonstrates flexibility in defining genetic classes.

Conclusions

We conclude that it would be prudent to include class-level testing as standard practice in GWA analysis. GenCAT, for example, can be used as a simple, complementary and efficient strategy for class-level testing that leverages existing data resources, requires only summary level data in the form of test statistics, and adds significant value with respect to its potential for identifying multiple novel and clinically relevant trait associations.