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At least 883 records · Page 49Linked to original sources
PubMed1978

Training health workers for primary care in a developing health service.

To provide primary health care in a thinly populated mountainous country with few doctors presents great difficulties. The Royal Government of Bhutan decided to base their primary medical care service on appropriately trained medical auxilliaries. The training programme is described, and the problems of assessing the field activities discussed.

Bhutan↗
PubMed1976

Exo-beta-N-acetylmuramidase--a novel hexosaminidase. Production by Bacillus subtilis B, purification and characterization.

Exo-beta-N-acetylmuramidase, or beta-2-acetamido-3-O-(D-1-carboxyethyl)-2-deoxy-D-glucoside acetamidodeoxyglucohydrolase, is produced by Bacillus subtilis B, growing in a succinate/peptone/salts medium, at the end of exponential growth and occurs partly in the medium and partly bound to the cells. A lysozyme digest of Micrococcus lysodeikticus cell walls, O-2-acetamido-2-deoxy-beta-D-glucopyranosyl-(1 leads to 4)-2-acetamido-3-O-(D-1-carboxyethyl)-2-deoxy-D-glucose and O-[2-acetamide-3-O-(D-1-carboxyethyl)-2-deoxy-beta-D-glucopyranosyl]-(1 leads to 4)-2-acetamido-2-deoxy-D-glucose in decreasing order of efficiency, induce the enzyme but O-2-acetamido-2-deoxy-beta-D-glucopyranosyl-(1 leads to 4)-2-acetamido-2-deoxy-D-glucose does not do so. The enzyme was purified from the growth medium, after removal of the cells by continuous centrifugation, by ammonium sulphate precipitation, continuous filtration through XM-300 membranes (to remove the high-molecular-weight material which renders the enzyme sedimentable in low-ionic-strength solutions), diafiltration through PM-30 membranes and ion-exchange chromatography on DEAE-Sephadex and CM-Sephadex. Two peaks of activity were obtained. Peak A was purified 1800-fold and was homogenous on polyacrylamide disc gel electrophoresis. A second heterogeneous fraction (peak B) was also collected. Exo-beta-N-acetylmuramidase is most stable at pH 8.0 and has a molecular weight of about 90000. The results of studies on its ability to attack several synthetic and natural substrates are given. The Km and V values for 4-methylumbelliferyl-2-acetamido-3-O-(D-1-carboxyethyl)-2-deoxy-beta-D-glucose and O-[2-acetamido-3-O-(D-1-carboxyethyl)-2-deoxy-beta-D-glucopyranosyl]-(1 leads to 4)-2-acetamido-2-deoxy-D-glucose are respectively 0.19 and 0.65 mM and 1.50 and 16.29 mumol min(-1) mg(-1). From these results and those of inhibition studies it is concluded that the enzyme is specific for substrates with non-reducing N-acetylmuramic acid end groups. Possible roles for this enzyme are discussed.

Bacillus subtilis↗
PubMed2004

Transplant data: sources, collection, and caveats.

By examining the sources, quality and organization of transplant data available, as well as making observations about data reporting patterns and accuracy, we hope to improve understanding of existing results, help researchers with study design and stimulate new exploratory initiatives. The primary data source, collected by the OPTN, has benefited from extensive recent technological advances. Transplant professionals now report patient and donor data more easily, quickly, and accurately, improving data timeliness and precision. Secondary sources may be incorporated, improving the accuracy and expanding the scope of analyses. For example, auxiliary mortality data allows more accurate survival analysis and conclusions regarding the completeness of center-reported post-transplant follow-up. Furthermore, such sources enable examination of outcomes not reported by centers, such as mortality after waiting list removal, providing more appropriate comparisons of waiting list and post-transplant mortality. Complex collection and reporting processes require specific analytical methods and may lead to potential pitfalls. Patterns in the timing of reporting adverse events differ from those for 'positive' events, yielding the need for care in choosing cohorts and censor dates to avoid bias. These choices are further complicated by the use of multiple sources of data, with different time lags and reporting patterns.

Humans↗
PubMed2003

Cell-specific extracellular signal-regulated kinase activation by multiple G protein-coupled receptor families in hippocampus.

Several families of G protein-coupled receptors (GPCR) have been shown to activate extracellular signal-regulated kinase (ERK) in transfected cells and non-neuronal systems. However, little is known about GPCR activation of ERK in brain. Because ERK is an important component in the regulation of synaptic plasticity, in this study we examined ERK activation by three families of GPCR that respond to major neuromodulatory neurotransmitters in the hippocampus. We used an immunocytochemical approach to examine ERK activation by muscarinic acetylcholine (mAChR), metabotropic glutamate (mGluR), and beta-adrenergic (beta-AR) receptors in CA1 neurons of mouse hippocampal slices. Because these GPCR families comprise receptors coupling to each of the major heterotrimeric G proteins, we examined whether ERK activation differs according to G-protein coupling. By using immunocytochemistry, we were able to examine not only whether each family of receptors activates ERK, but also the cellular populations and subcellular distributions of activated ERK. We demonstrated that M1 mAChRs and group I mGluRs, both of which are Gq-coupled receptors, activate ERK in CA1 pyramidal neurons, although activation in response to mAChR is more robust. The G(i/o)-coupled group II mGluRs activate ERK in glia scattered throughout CA1, and Gs-coupled beta-AR receptors activate ERK in scattered interneurons. Thus, we demonstrated that GPCR coupling to Gq, G(i/o), and Gs all activate ERK in the hippocampus, although each does so with unique properties and distributions.

Animals↗
PubMed1991

Characterization of exopolymers of aquatic bacteria by pyrolysis-mass spectrometry.

Exopolymers from a diverse collection of marine and freshwater bacteria were characterized by pyrolysis-mass spectrometry (Py-MS). Py-MS provides spectra of pyrolysis fragments that are characteristic of the original material. Analysis of the spectra by multivariate statistical techniques (principal component and canonical variate analysis) separated these exopolymers into distinct groups. Py-MS clearly distinguished characteristic fragments, which may be derived from components responsible for functional differences between polymers. The importance of these distinctions and the relevance of pyrolysis information to exopolysaccharide function in aquatic bacteria is discussed.

Carbohydrates↗