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Bacterial resistance--the clinical challenge.

Resistance to antibacterial agents has increased among many species of bacterial pathogens in the last two decades. While this has been recognized and has been a matter of concern among those concerned with infectious diseases, it is only relatively recently that prescribing physicians have become aware of the problem. A range of official bodies, both national and international, have proposed a range of strategies for controlling this increase in resistance. The relationship between resistance and clinical efficacy or failure is unclear in many areas, although increasingly resistance can be seen to be associated with a less than optimal clinical response. Although the relationship between antibiotic use and resistance is complex, there is an assumption that excessive use of antibacterials may drive an increase in resistance. The term 'prudent prescribing' is frequently used in official documents, but it is not easy for the prescriber to determine exactly what is prudent prescribing. There have been efforts to reduce the unnecessary use of antibacterials in the treatment of many community respiratory infections where the etiological agent is likely to be viral. Guidelines for prescribing have been drawn up by governments and professional societies but their impact can be variable. They need to take account of the changing patterns of resistance, for example the rise in high-level penicillin resistance among pneumococci. They also need to be readily accessible to the practicing clinician. Surveillance systems are available in abundance and these may be local, national, or international. They often, however, suffer from drawbacks and are frequently selective. Frequently the prescriber does not have ready access to the most appropriate data. Integrated strategies to control resistance are urgently needed, as are improved rapid diagnostic facilities.

Anti-Bacterial Agents↗

Generating genetic risk scores from intermediate phenotypes for use in association studies of clinically significant endpoints.

While previous results of genetic association studies for common, complex diseases (eg., coronary artery disease, CAD) have been disappointing, examination of multiple related genes within a physiologic pathway may provide improved resolution. This paper describes a method of calculating a genetic risk score (GRS) for a clinical endpoint by integrating data from many candidate genes and multiple intermediate phenotypes (IPs). First, the association of all single nucleotide polymorphisms (SNPs) to an IP is determined and regression beta-coefficients are used to calculate an IP-specific GRS for each individual, repeating this analysis for every IP. Next, the IPs are assessed by a second regression as predictors of the clinical endpoint. Each IP's individual GRS is then weighted by the regression beta-coefficients from the second step, creating a single, composite GRS. As an example, 3,172 patients undergoing coronary angiography were evaluated for 3 SNPs from the cholesterol metabolism pathway. Although these data provide only a preliminary example, the GRS method detected significant differences in CAD by GRS group, whereas separate genotypes did not. These results illustrate the potential of the GRS methodology for multigenic risk evaluation and suggest that such approaches deserve further examination in common, complex diseases such as CAD.

Coronary Disease↗

[Verbal memory disorders provoked by a variety of stokes].

In recent years a consensus has been reached about the neuroanatomical substrate of verbal memory, but this state of knowledge has not yet been implemented in clinical practice. One reason for this may be that most of the neuroscientific studies on verbal memory used different neuropsychological instruments and that only a small set of patient groups with the same etiology but different lesion sites were analysed. Returning to three earlier studies, we analyse the possibility to make differential judgements on the verbal memory impairments of four different patient groups by using the California Verbal Learning Test (CVLT). We compare patients with left-sided (n = 16) and right-sided (n = 10) posterior cerebral artery infarcts and patients with infarcts of the left (n = 10) or right (n = 21) frontal lobe, and we integrated data about their retention errors that had not been analysed so far. Our findings reveal significant differences between these patient groups, concerning the quantitative aspects of impairments, and also the profiles of memory errors (recall, interference and perseverations). Our study documents a relation between the site of the lesion and the type of verbal memory impairment, agreeing with some of the most recent neuroscientific findings. Starting from this observation we try to define a neuropsychological pattern of memory impairment which enables differential clinical diagnoses using the CVLT as a memory test.

Female↗

SISCOPE: a multiuser information system for gastrointestinal endoscopy.

SISCOPE is an integrated data management system for use in gastrointestinal endoscopy units which operates in the multiuser mode on UNIX minicomputers or MS-DOS personal computers and can be used for patient bookings, endoscopic data entry and retrieval, and automatic report generation in upper gastrointestinal endoscopy, proctologic examinations, colonoscopy and peritoneoscopy. The description of endoscopic findings is remarkably detailed and data entry very rapid due to an advanced design of input screens that incorporates several recent concepts, including windows, menu bars and pull-down menus; typing is eliminated as data is entered with a mouse by pointing at options within menus. Endoscopic findings can be described under eight headings: morphology, topography, qualifiers, modifiers, signs of bleeding, endoscopic diagnosis, pathological diagnosis and etiology. Terminology is based strictly 3on the OMED system. SISCOPE also allows recording of details on endoscopic procedures, indications for the examination, preparation, premedication, complications and late entry of pathology reports. After entering all data, a report in natural language is produced automatically, the entire process taking one minute on average. Data retrieval programs give on-line access to previous examinations of a given patient and automatically generate activity reports. A formal language allows direct queries to the database and transfer of data for statistical analysis or other data processing. The system is simple to learn and use because operation is intuitive and all endoscopic techniques share the same basic menu structure and screen design.

Computer Systems↗

A case for multisite studies in critical care.

Studies in critical care settings are essential to improve critical care practice. Critical care research conducted at a single site may be limited with respect to sample size leading to large type II error, diminished statistical power, decreased generalizability, and inconclusive results. Multiple-site studies are more likely to change nursing practice in critical care. They allow for larger sample size, broader sampling, faster accrual rates, and meaningful subgroup analyses. Successful multisite research requires more thorough planning, and deliberate steps are required to ensure its feasibility and acceptability. Multisite research protocols can be challenging regarding communication, reliability, and data integrity. However, defining and addressing these challenges and selecting subjects and settings appropriately can lead to results that are more generalizable and relevant to practice.

Clinical Protocols↗

Clinical science research.

Clinical science research incorporates the fields of clinical investigation and health services research. With a focus on the use of either human specimens or subjects, clinical investigation research projects translate knowledge gained from basic science research based on animal models for disease. The goal of clinical investigation is to develop new prevention, intervention, and therapeutic approaches to improve patient clinical outcomes. In contrast, health services research focuses on the improvement of the efficacy, cost-effectiveness, and outcomes of care. Health services research projects examine options to improve the health care delivery system, organization, financing, and reimbursement mechanisms in place today. The purpose of this article is to review common terminology and methodologic approaches that are used in clinical science research. The process of designing a research project is reviewed. Beginning with the development of a research question and hypothesis, the steps for successful completion of the project are discussed. Different study design approaches are presented with their respective strengths and weaknesses. The challenges associated with conducting a clinical research study are discussed, including the development of an appropriate sampling strategy, the designing of data collection, instruments, and the assurance of study data integrity. Possible threats to study validity and generalizability are assessed.One the major advantages of clinical research is that it offers an opportunity to study clinical questions in the clinical setting without the expenses of a basic research laboratory and basic science technology. Thus important clinical questions related to patient care, new technology assessment, clinical practice management, health care administration, or health policy may be addressed.

Health Services Research↗

Network motifs in integrated cellular networks of transcription-regulation and protein-protein interaction.

Genes and proteins generate molecular circuitry that enables the cell to process information and respond to stimuli. A major challenge is to identify characteristic patterns in this network of interactions that may shed light on basic cellular mechanisms. Previous studies have analyzed aspects of this network, concentrating on either transcription-regulation or protein-protein interactions. Here we search for composite network motifs: characteristic network patterns consisting of both transcription-regulation and protein-protein interactions that recur significantly more often than in random networks. To this end we developed algorithms for detecting motifs in networks with two or more types of interactions and applied them to an integrated data set of protein-protein interactions and transcription regulation in Saccharomyces cerevisiae. We found a two-protein mixed-feedback loop motif, five types of three-protein motifs exhibiting coregulation and complex formation, and many motifs involving four proteins. Virtually all four-protein motifs consisted of combinations of smaller motifs. This study presents a basic framework for detecting the building blocks of networks with multiple types of interactions.

Amino Acid Motifs↗

Malaria risk on the Amazon frontier.

Frontier malaria is a biological, ecological, and sociodemographic phenomenon operating over time at three spatial scales (micro/individual, community, and state and national). We explicate these linkages by integrating data from remote sensing surveys, ground-level surveys and ethnographic appraisal, focusing on the Machadinho settlement project in Rondônia, Brazil. Spatially explicit analyses reveal that the early stages of frontier settlement are dominated by environmental risks, consequential to ecosystem transformations that promote larval habitats of Anopheles darlingi. With the advance of forest clearance and the establishment of agriculture, ranching, and urban development, malaria transmission is substantially reduced, and risks of new infection are largely driven by human behavioral factors. Malaria mitigation strategies for frontier settlements require a combination of preventive and curative methods and close collaboration between the health and agricultural sectors. Of fundamental importance is matching the agricultural potential of specific plots to the economic and technical capacities of new migrants. Equally important is providing an effective agricultural extension service.

Animals↗

Predicting the global spread of H5N1 avian influenza.

The spread of highly pathogenic H5N1 avian influenza into Asia, Europe, and Africa has resulted in enormous impacts on the poultry industry and presents an important threat to human health. The pathways by which the virus has and will spread between countries have been debated extensively, but have yet to be analyzed comprehensively and quantitatively. We integrated data on phylogenetic relationships of virus isolates, migratory bird movements, and trade in poultry and wild birds to determine the pathway for 52 individual introduction events into countries and predict future spread. We show that 9 of 21 of H5N1 introductions to countries in Asia were most likely through poultry, and 3 of 21 were most likely through migrating birds. In contrast, spread to most (20/23) countries in Europe was most likely through migratory birds. Spread in Africa was likely partly by poultry (2/8 introductions) and partly by migrating birds (3/8). Our analyses predict that H5N1 is more likely to be introduced into the Western Hemisphere through infected poultry and into the mainland United States by subsequent movement of migrating birds from neighboring countries, rather than from eastern Siberia. These results highlight the potential synergism between trade and wild animal movement in the emergence and pandemic spread of pathogens and demonstrate the value of predictive models for disease control.

Animals↗

A network of rice genes associated with stress response and seed development.

We used a systematic approach to build a network of genes associated with developmental and stress responses in rice by identifying interaction domains for 200 proteins from stressed and developing tissues, by measuring the associated gene expression changes in different tissues exposed to a variety of environmental, biological, and chemical stress treatments, and by localizing the cognate genes to regions of stress-tolerance trait genetic loci. The integrated data set suggests that similar genes respond to environmental cues and stresses, and some may also regulate development. We demonstrate that the data can be used to correctly predict gene function in monocots and dicots. As a result, we have identified five genes that contribute to disease resistance in Arabidopsis.

14-3-3 Proteins↗

Insight into hepatocellular carcinogenesis at transcriptome level by comparing gene expression profiles of hepatocellular carcinoma with those of corresponding noncancerous liver.

Human hepatocellular carcinoma (HCC) is one of the most common cancers worldwide. In this work, we report on a comprehensive characterization of gene expression profiles of hepatitis B virus-positive HCC through the generation of a large set of 5'-read expressed sequence tag (EST) clusters (11,065 in total) from HCC and noncancerous liver samples, which then were applied to a cDNA microarray system containing 12,393 genes/ESTs and to comparison with a public database. The commercial cDNA microarray, which contains 1,176 known genes related to oncogenesis, was used also for profiling gene expression. Integrated data from the above approaches identified 2,253 genes/ESTs as candidates with differential expression. A number of genes related to oncogenesis and hepatic function/differentiation were selected for further semiquantitative reverse transcriptase-PCR analysis in 29 paired HCC/noncancerous liver samples. Many genes involved in cell cycle regulation such as cyclins, cyclin-dependent kinases, and cell cycle negative regulators were deregulated in most patients with HCC. Aberrant expression of the Wnt-beta-catenin pathway and enzymes for DNA replication also could contribute to the pathogenesis of HCC. The alteration of transcription levels was noted in a large number of genes implicated in metabolism, whereas a profile change of others might represent a status of dedifferentiation of the malignant hepatocytes, both considered as potential markers of diagnostic value. Notably, the altered transcriptome profiles in HCC could be correlated to a number of chromosome regions with amplification or loss of heterozygosity, providing one of the underlying causes of the transcription anomaly of HCC.

Carcinoma, Hepatocellular↗

State of hepatitis B virus DNA in hepatocytes of patients with hepatitis B surface antigen-positive and -negative liver diseases.

Using the Southern blot technique and cloned hepatitis B virus (HBV) DNA as a probe, we studied the state of HBV DNA in the liver of 13 patients with hepatocellular carcinoma, 17 patients with chronic hepatitis, and 2 patients with acute hepatitis. The hybridization results were compared with the serological and immunohistological data. Integration of HBV DNA in cellular DNA of the liver from patients with hepatocellular carcinoma was demonstrated. In two patients from which tumorous and nontumorous liver tissue samples were available the integration patterns were different. In one patient with hepatitis B e antigen (HBeAg)-positive early hepatocellular carcinoma, free viral DNA was present in the liver. In some patients with HBeAg-negative chronic hepatitis, without tumor, integration of HBV DNA in cellular DNA was also demonstrated. This suggests that HBV is not the only factor involved in the development of a tumor. In patients with HBeAg-positive chronic hepatitis, free viral DNA was detected in the liver. In the two acute hepatitis patients analyzed, the restriction endonuclease patterns strongly suggested HBV DNA integration. Therefore, viral DNA integration seems to occur early in infection. Whatever the form of the disease, discrete bands were observed, suggesting the existence of limited and specific integration sites in host cellular DNA. The presence of integrated or free DNA sequences has implications for antiviral therapy. In addition, detection of HBV DNA in the liver is another sensitive viral marker that could be useful for diagnostic purposes.

Carcinoma, Hepatocellular↗

Real-time monitoring of the interactions of transforming growth factor-beta (TGF-beta ) isoforms with latency-associated protein and the ectodomains of the TGF-beta type II and III receptors reveals different kinetic models and stoichiometries of binding.

Mature transforming growth factor-beta (TGF-beta) is proteolytically derived from the C terminus of a precursor protein. Latency-associated protein (LAP), the N-terminal remnant of the TGF-beta precursor, is able to bind and neutralize TGF-beta. Mature TGF-beta exerts its activity by binding and complexing members of two subfamilies of receptors, the type I and II receptors. In addition to these signaling receptors, TGF-beta can also interact with an accessory receptor termed the type III receptor. Using a surface plasmon resonance-based biosensor (BIAcore), we determined the mechanisms of interaction of four binding proteins (LAP, the type II and III receptor ectodomains (EDs), and a type II receptor ED/Fc chimera) with three TGF-beta isoforms, and we quantified their related kinetic parameters. Using global fitting based on a numerical integration data analysis method, we demonstrated that LAP and the type II receptor/Fc chimera interacted with the TGF-beta isoforms with a 1:1 stoichiometry. In contrast, the type II ED interactions with TGF-beta were best fit by a kinetic model assuming the presence of two independent binding sites on the ligand molecule. We also showed that the type III ED bound two TGF-beta molecules. Further experiments revealed that LAP was able to block the interactions of TGF-beta with the two EDs, but that the two EDs did not compete or cooperate with each other. Together, these results strongly support the existence of a cell-surface complex consisting of one type III receptor, two TGF-beta molecules, and four type II receptors, prior to the recruitment of the type I receptor for signal transduction. Additionally, our results indicate that the apparent dissociation rate constants are more predictive of the neutralizing potency of these TGF-beta-binding proteins (LAP, the type II and III receptor EDs, and the type II receptor/Fc chimera) than the apparent equilibrium constants.

Animals↗

The design of manual handling tasks: revised tables of maximum acceptable weights and forces.

Four new manual handling experiments are reviewed. The experiment used male and female subjects to study lifting, lowering, pushing, pulling, and carrying tasks. Each experiment used a psychophysical methodology with measurements of oxygen consumption, heart rate, and anthropometric characteristics. Independent variables included task frequency, distance, height and duration; object size and handles; extended horizontal reach; and combination tasks. The results of the four experiments were integrated with the results of seven similar experiments published previously by this laboratory. The integrated data were used to revise maximum acceptable weights and forces originally published in 1978. The revised tables are presented and compared with the original tables.

Anthropometry↗

Visualization, reconstruction, and integration of neuronal structures in digital brain atlases.

Brain atlases are used in neuroanatomy to define the spatial layout of neuronal structures. Their digital variant can serve as a database and common reference frame for integrating data from different biological experiments. This article presents an overview of methods for three-dimensional visualization of neuroanatomical image data, reconstructing neuronal structures from image data, creating digital brain atlases, and registering data in an atlas. This enables analysis of spatial relations between individual structures imaged in different experiments as well as between these structures and the atlas.

Animals↗

The development of a digital image database of clinical photographs.

At the end of December 1998, the traditional clinical slide library at the Media Resources Centre University Hospital of Wales and University of Wales College of Medicine was closed to new acquisitions. This paper describes how a digital image database (Image AXS) has been customized to provide a source of rapidly accessible and easily searchable images, suitable for teaching and reference purposes. The basic functions of the program are explained and areas such as data integrity, image capture, storage, archiving and the impact that this technology has had on departmental workflow are discussed.

Databases as Topic↗

Systems-based medicine approaches to understand and treat complex diseases. The example of multiple sclerosis.

Systems medicine is an emerging concept that acknowledges the complexity of a multitude of non-linear interactions among molecular and physiological variables. Under this new paradigm, rather than a collection of symptoms, diseases are seen as the product of deviations from a robust steady state compatible with life. This concept requires the incorporation of mathematics and physics to the more classical arsenal of physiology and molecular biology with which physicians are trained today. This review explores the diverse types of information that can be accumulated towards the understanding of multiple sclerosis (MS), a complex autoimmune disease that targets the central nervous system (CNS). The challenge of data integration and modeling of dynamical systems is discussed in the context of disease susceptibility and response to treatment. A theoretical framework that supports the use of combination therapy is also presented.

Animals↗

The platelet Ca2+ transport ATPase system.

The Ca2+ signal accompanying cell function involves the activities of plasma membrane Ca2+ transport ATPases (PMCA) which transport Ca2+ ions out of the cell and those of sarco/endoplasmic reticulum Ca2+ transport ATPases (SERCA), which pump Ca2+ ions into intracellular Ca2+ pools. Although a platelet Ca2+ transport ATPase was described three decades ago, for a long time it remained poorly understood in terms of its cellular localization and identity. By integrating data obtained during recent years, including newly available information in the literature for the PMCAs and aspects of our work concerning the SERCAs, the present review will show how the overall view of the platelet Ca2+ATPase system has to be modified due to the presence of a number of Ca2+ATPases in these cells. These Ca2+ATPases include a typical 144 kDa PMCA protein, although its molecular identity still remains to be established, expressed together with a multi-SERCA system constituted by the ubiquitous 100 kDa SERCA 2b isoform, the 97 kDa SERCA 3 isoform and a new 97 kDa SERCA isoform recognized by the monoclonal antibody termed PL/IM 430 which also remains to be identified. The new paradigm of the platelet multi-Ca2+ATPase system will be discussed including: (i) the problems solved, as it has now become possible to reconciliate previous contradictory observations and (ii) those which still remain due to the fact that the platelet Ca2+ATPase system is more complex than previously assumed. Finally, to put this complexity of the platelet Ca2+ transport ATPase system into perspective, the biological significance of the multi-SERCA system in the context of Ca2+ signalling will be tentatively discussed in an attempt to produce a model of the organization of the intracellular Ca2+ pools in platelets.

Journal Article↗