Effectiveness of the Quick Medical Reference as a diagnostic tool

A number of computer-based systems with diagnostic capabilities have been developed for internal medicine. Quick Medical Reference (QMR) is one such program. The authors describe key features of QMR and report on their study of its effectiveness as a diagnostic tool. They investigated how frequently the correct diagnosis would appear among the 5 highest ranked diagnoses generated by QMR. The charts of 1144 consecutive patients admitted to a teaching unit were retrospectively screened. Eligible cases included those referred for investigation of an undiagnosed illness with an objectively proven final diagnosis (n = 154). Two physicians familiar with, but not experts in, the use of QMR entered clinical information abstracted from the patients'' charts into the program. Physician A obtained the correct diagnosis in 62 (40%) of the 154 cases, and physician B was successful in 56 (36%) of the cases. The authors use study cases to illustrate QMR''s strengths and weaknesses.     

Effectiveness of baseline corticosterone as a monitoring tool for fitness: a meta-analysis in seabirds

Many ecosystems have experienced anthropogenically induced changes in biodiversity, yet predicting these patterns has been difficult. Recently, individual behavioural and physiological measures have been proposed as more rapid links between environmental variation and fitness compared to demographics. Glucocorticoid hormones have received much attention given that they mediate energetic demands, metabolism, and foraging behaviour. However, it is currently unclear whether glucocorticoids can reliably predict environmental and fitness-related traits and whether they may be useful in specific groups of taxa. In particular, seabirds are a well-studied avian group often employed as biomonitoring tools for environmental change given their wide distribution and reliance on large oceanic patterns. Despite the increase in studies attempting to link variation in baseline corticosterone (the primary avian glucocorticoid) to variation in fitness-related traits in seabirds, there has been no comprehensive review of the relationship in this taxon. We present a phylogenetically controlled systematic review and meta-analysis of correlative and experimental studies examining baseline corticosterone as a predictor of fitness-related traits relevant to predicting seabird population health. Our results suggest that, while variation in baseline corticosterone may be a useful predictor of larger-scale environmental traits such as overall food availability and fitness-related traits such as reproductive success, this hormone may not be sensitive enough to detect variation in body condition, foraging effort, and breeding effort. Overall, our results support recent work suggesting that the use of baseline glucocorticoids as conservation biomarkers is complex and highly context dependent, and we suggest caution in their use and interpretation as simplified, direct biomarkers of fitness.     

The Mammalian Phenotype Ontology as a tool for annotating,analyzing and comparing phenotypic information

The Mammalian Phenotype (MP) Ontology enables robust annotation of mammalian phenotypes in the context of mutations, quantitative trait loci and strains that are used as models of human biology and disease. The MP Ontology supports different levels and richness of phenotypic knowledge and flexible annotations to individual genotypes. It continues to develop dynamically via collaborative input from research groups, mutagenesis consortia, and biological domain experts. The MP Ontology is currently used by the Mouse Genome Database and Rat Genome Database to represent phenotypic data.     

Semiautomatic microscopy as a tool for cytologists

Despite impressive advances in the application of computer image analysis to cytology, many of the identification tasks that cytologists are called on to perform remain refractory to automated image analysis. The major reason is that a large fraction of these images, though simple for a human to deal with, are too complex to yield to current image analysis methodologies. It may be years before automated computer image analysis is reduced to clinical practicality. Even then, it is not clear that all cytologic image analyses will prove amenable to automation. In the meantime, semiautomatic image analysis (computer-aided microscopy) can provide a viable alternative, especially to persistently difficult image analysis problems. In semiautomatic image analysis, the onerous tasks of data acquisition--e.g., stage movement, data entry and storage--are left to the computer, while the decision-making tasks-e.g., identifying a cell's morphologic class--are left to the observer. Such a system proves to be easy and flexible to use as well as economical to build. It can also provide a reliable data base for the later evaluation of fully automated systems as they are developed. One such semiautomatic system, the Image Combining Computer Microscope (ICCM), is described, and the range of its application is illustrated. Some of the examples of ICCM applications discussed are: neuronal cell plots, three-dimensional dendrite tracking, serial section reconstruction of axons and mapping of plaques and tangles in Alzheimer's disease. They illustrate how powerful a semiautomated system can be in handling complex image analysis problems. It is suggested that semiautomated image analysis provides a viable long-range alternative to many cytologic image analysis problems.     

Yeast as a tool for apoptosis research

Apoptosis is a unique cell suicide process that plays important roles in a wide variety of developmental and normal physiological processes in animal species, and causes diseases when inappropriately controlled. Although yeast do not possess the proteases ultimately responsible for the morphological events recognized as apoptosis, these simple unicellular eukaryotes can serve as a powerful tool for apoptosis researchers. Ectopic expression of several human and animal apoptosis proteins in either budding or fission yeast results in phenotypes that create opportunities for genetic screens. Recent exploitation of yeast as tools for studying human apoptosis-regulatory proteins has yielded novel insights into cell death mechanisms, suggesting strategies for identification of genes and drugs that modulate the functions of proteins involved in apoptosis control.     

MutS as a tool for mutation detection

MutS, a DNA mismatch-binding protein, seems to be a promising tool for mutation detection. We present three MutS based approaches to the detection of point mutations: DNA retardation, protection of mismatched DNA against exonuclease digestion, and chimeric MutS proteins. DNA retardation in polyacrylamide gels stained with SYBR-Gold allows mutation detection using 1-3 microg of Thermus thermophilus his6-MutS protein and 50-200 ng of a PCR product. The method enables the search for a broad range of mutations: from single up to several nucleotide, as mutations over three nucleotides could be detected in electrophoresis without MutS, due to the mobility shift caused by large insertion/deletion loops in heteroduplex DNA. The binding of DNA mismatches by MutS protects the complexed DNA against exonuclease digestion. The direct addition of the fluorescent dye, SYBR-Gold, allows mutation detection in a single-tube assay. The limited efficiency of T4 DNA polymerase as an exonuclease hampers the application of the method in practice. The assay required 300-400 ng of PCR products in the range of 200-700 bp and 1-3 microg of MutS. MutS binding to mismatched DNA immobilised on a solid phase can be observed thanks to the activity of a reporter domain linked to MutS. We obtained chimeric bifunctional proteins consisting of T. thermophilus MutS and reporter domains, like beta-galactosidase or GFP. Very low detection limits for beta-galactosidase could theoretically enable mutation detection not only by the examination of PCR products, but even of genomic DNA.     

Modelling as a tool

Conclusion The three examples mentioned, illustrate some kinds of mathematical modelling. These were all models of isolated sub-systems. The impression may exist that it is not yet possible to model the total algal assemblage. This possibility however, depends on the aim of the model. When the aim is to predict the maximum biomass, the model of LOS (1980) can be used. When prediction of the actual biomass as well as the transition states from one maximum to the other is aimed, there is still work to be done. The same applies when one wants a model that predicts zooplankton and fish too.In general the aim determines the kind of model. A multidisciplinary team of physicians, chemists, biologists and mathematicians have to build it.     

Effectiveness of information campaigns

Skin cancer represents the most common type of cancer in the white population worldwide and the incidence has dramatically increased during the last decades. UV-radiation is believed to be the most important risk factor responsible for this trend. The prominent role of UV-radiation renders skin cancer most suitable for primary prevention, because the main risk factor can easily be avoided by sticking to simple rules for the behaviour in the sun or under artificial UV (e.g. sunbeds). Since UV-exposure cannot and should not be avoided totally especially due to the beneficial health effects of UV-irradiation like Vitamin D(3)-production, recommendations and information for the public should be as clear and as weighted as possible, through adequate messages, such as: "Love the sun and protect your skin". For that purpose the Association of Dermatological Prevention in Germany (ADP) developed the period of life programme (POLP) that defines certain age-specific target groups, with the aim to give well adapted prevention messages to the population during lifetime. Evaluation of primary prevention campaigns in Germany showed that due to continuous intervention programs during the last 16 years changes in the "sun-behaviour" of the population have been achieved leading to a reduced but sufficient exposure to solar UV-irradiation. This will then contribute to the aim of decreasing morbidity and mortality of skin cancer.     

Affinity chromatography as a tool for antibody purification

The global antibody market has grown exponentially due to increasing applications in research, diagnostics and therapy. Antibodies are present in complex matrices (e.g. serum, milk, egg yolk, fermentation broth or plant-derived extracts). This has led to the need for development of novel platforms for purification of large quantities of antibody with defined clinical and performance requirements. However, the choice of method is strictly limited by the manufacturing cost and the quality of the end product required. Affinity chromatography is one of the most extensively used methods for antibody purification, due to its high selectivity and rapidity. Its effectiveness is largely based on the binding characteristics of the required antibody and the ligand used for antibody capture. The approaches used for antibody purification are critically examined with the aim of providing the reader with the principles and practical insights required to understand the intricacies of the procedures. Affinity support matrices and ligands for affinity chromatography are discussed, including their relevant underlying principles of use, their potential value and their performance in purifying different types of antibodies, along with a list of commercially available alternatives. Furthermore, the principal factors influencing purification procedures at various stages are highlighted. Practical considerations for development and/or optimizations of efficient antibody-purification protocols are suggested.     

Rare genomic changes as a tool for phylogenetics

DNA sequence data have offered valuable insights into the relationships between living organisms. However, most phylogenetic analyses of DNA sequences rely primarily on single nucleotide substitutions, which might not be perfect phylogenetic markers. Rare genomic changes (RGCs), such as intron indels, retroposon integrations, signature sequences, mitochondrial and chloroplast gene order changes, gene duplications and genetic code changes, provide a suite of complementary markers with enormous potential for molecular systematics. Recent exploitation of RGCs has already started to yield exciting phylogenetic information.     

Michael-type addition as a tool for surface functionalization

Michael-type addition (conjugate addition reaction between electron-poor olefins and nucleophiles, such as thiols) has been successfully used as a convenient tool for surface functionalization. Due to its mild character, this method is potentially useful for the introduction of sensitive groups, which can provide bioactivity and targeting possibilities to surfaces of, for example, colloidal carriers. As reaction partners, in our study we have used thiols, possibly present in peptidic structures, and acrylates, at the end of protein-repellant PEG chains. Satisfactory results were obtained with thiols in solution and acrylic groups bound to the surface. Alternatively, the use of thiols on the particles, even if generated in situ, did not provide useful results.     

Lentivirus as a tool for lineage-specific gene manipulations

The trophectoderm (TE) of blastocysts, the first epithelium established in mammalian development, (1) plays signaling, supportive, and patterning functions during preimplantation development, (2) ensures embryo implantation into the uterine wall, and (3) gives rise to extraembryonic tissues essential for embryo patterning and growth after implantation. We show that mouse TE, itself permissive to lentiviral (LV) infection, represents a robust nonpermeable physical barrier to the virus particles, thereby shielding the cells of the inner cell mass from viral infection. This LV feature will allow modulations of gene expression in a lineage-specific manner, thus having significant applications in mouse functional genetics.