Homology model of thyroxine binding globulin and elucidation of the thyroid hormone binding site.

The tertiary structure of thyroxine binding globulin (TBG) has been modelled on the basis of its close homology to alpha 1-antitrypsin, the archetype of the serine protease inhibitor (serpin) superfamily. Energy minimization was applied to the model to refine the structure further. The putative thyroid hormone binding region suggested in previous labelling studies was found to exist within a beta-barrel structure of complementary dimensions to the thyroid hormones. The model also revealed that the binding cleft provides the hydrophobic environment and specific ionic interaction sites deemed important for thyroid hormone binding. The model is in good agreement with evidence derived from previously reported T3 and T4 binding, stability and isoelectric focussing studies of TBG and TBG variants. Finally, T4 analogue and drug binding studies have enabled us to postulate the orientation and manner of hormone binding to TBG. This may prove to be of assistance in the development of potent and specific, non-thyroidal ligands and also aid in the understanding of physiological thyroid hormone binding interactions.     

Purification and characterization of a lysophospholipase from human amnionic membranes

We have identified the presence of a lysophospholipase in human placental tissues and have purified this enzyme from the amnion. The specific activity was highest in the amnion and decreased across adjacent tissues. The purification involved the use of DEAE-Sephadex, phenyl-Sepharose, hydroxylapatite, and sulfylpropyl Sephadex chromatography. The activity of the purified enzyme toward palmitoyl lysophosphatidylcholine is 2.5 mumol min-1 mg-1 and the pH optimum is 7.0. The enzyme is not inhibited by EDTA and does not appear to have a metal ion requirement. The enzyme may be of membrane origin; the purified enzyme requires the presence of detergent during storage. The effects of substrate composition and physical state on enzymatic activity were explored. The enzyme was not active toward mono-, di-, or triglycerides, nor toward diacyl phospholipid. The enzyme was active toward myristoyl and palmitoyl lysophosphatidylcholine at concentrations where these substrates spontaneously form micelles or where Triton X-100 was used to induce co-micellization of the substrate at low concentrations with detergent. A role for this enzyme in processing the lysophospholipid product of phospholipase A action must be considered in evaluating arachidonic acid production in human fetal membranes and placental tissue, particularly during the initiation of labor.     

Biochemical properties of SV40 large tumor antigen as a glycosylated protein

The large tumor antigen (T-ag) of SV40 is a virus-encoded polypeptide that provides multiple biological activities required for virus replication and cellular transformation. T-ag is an exceptional model for the study of protein processing, because it displays a variety of chemical modifications and an unusual dual subcellular distribution. The cellular mechanisms responsible for the synthesis and processing of T-ag are unknown. With respect to glycosylation, this has been related to a lack of knowledge of the biochemical properties of T-ag as a glycoprotein. Several such properties are characterized here. We found that T-ag is glycosylated at multiple sites on the polypeptide chain. The oligosaccharides appear to belong to a single size class, molecular weight approximately 400, and the linkage between the polypeptide and the carbohydrate side chain is sensitive to beta-elimination under mild alkaline conditions. At least one glycosylation site was localized to the region between amino acids 1 and 272 (probably between residues 83 and 272), and at least one additional site was localized to a separate region, between amino acids 523 and 708. The results of cycloheximide experiments suggested that glycosylation of T-ag is a cotranslational event, and both the nuclear and the membrane-associated forms of T-ag appeared to be glycosylated. The results of these studies verify previous conclusions that the cellular secretory pathway is not involved in the glycosylation of T-ag; instead, a cytoplasmic mechanism might be involved.     

Illness associated with contamination of drinking water supplies with phenol.

In January 1984 the River Dee in north Wales was contaminated with phenol, with subsequent contamination of the tap water received by about two million consumers. A retrospective postal survey of 594 households was undertaken to determine whether consumption of this contaminated water was associated with illness. Subjects in areas that received contaminated water reported significantly more gastrointestinal illness than those in a nearby unexposed area (32.6% v 8.7%, p less than 0.00001) as well as reporting a higher incidence of any symptoms (43.6% v 18.4%, p less than 0.00001). Symptoms were consistent with phenol poisoning and bore a strong temporal relation to the pollution of the supply, but they developed at concentrations of phenols previously considered to be safe by the water authorities concerned. Chlorophenols produced during the treatment of water may have aggravated the problem.     

Indoleacetic acid enhancement of 14C methionine uptake by tomato cell cultures aids assay of pathogen extracts

Incorporation of one micromolar IAA in the assay system increased the rate of ¹⁴C methionine uptake by tomato cells in suspension and effectively differentiated the rates of uptake such that cells treated with pathogenic and non-pathogenic Fusarium extracts could be easily distinguished in a rapid 3 h assay.     

Bridging the gap: Using reservoir ecology and human serosurveys to estimate Lassa virus spillover in West Africa

Forecasting the risk of pathogen spillover from reservoir populations of wild or domestic animals is essential for the effective deployment of interventions such as wildlife vaccination or culling. Due to the sporadic nature of spillover events and limited availability of data, developing and validating robust, spatially explicit, predictions is challenging. Recent efforts have begun to make progress in this direction by capitalizing on machine learning methodologies. An important weakness of existing approaches, however, is that they generally rely on combining human and reservoir infection data during the training process and thus conflate risk attributable to the prevalence of the pathogen in the reservoir population with the risk attributed to the realized rate of spillover into the human population. Because effective planning of interventions requires that these components of risk be disentangled, we developed a multi-layer machine learning framework that separates these processes. Our approach begins by training models to predict the geographic range of the primary reservoir and the subset of this range in which the pathogen occurs. The spillover risk predicted by the product of these reservoir specific models is then fit to data on realized patterns of historical spillover into the human population. The result is a geographically specific spillover risk forecast that can be easily decomposed and used to guide effective intervention. Applying our method to Lassa virus, a zoonotic pathogen that regularly spills over into the human population across West Africa, results in a model that explains a modest but statistically significant portion of geographic variation in historical patterns of spillover. When combined with a mechanistic mathematical model of infection dynamics, our spillover risk model predicts that 897,700 humans are infected by Lassa virus each year across West Africa, with Nigeria accounting for more than half of these human infections.     

Genetic characterization of pathogenic Leptospira species by DNA hybridization.

A total of 66 serovars of potentially pathogenic Leptospira species were examined by slot blot hybridization, and 57 of these serovars were classified in six DNA homology groups. In cases in which common serovars were studied, the results were in general agreement with the results of previous workers, who used different DNA homology methods. However, we propose a new species, Leptospira kirschneri, comprising the following serovars: bulgarica, butembo, cynopteri, dania, grippotyphosa, kabura, kambale, ramisi, and tsaratsovo. Seven of these serovars have not had their DNAs studied by other workers.