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A consensus residue analysis of loop and helix-capping residues in four-alpha-helical-bundle proteins.

A statistical study was performed on a set of proteins which adopt the four-alpha-helical-bundle tertiary motif in order to determine amino acid occurrences at helix-capping and loop positions. Eight X-ray crystal structures from the Brookhaven Protein Data Bank (PDB) were examined and N", N', Ncap, Ccap, C' and C" residues were assigned. In addition, a set of 55 protein sequences for the analogous proteins from different strains and species was taken from the Protein Information Resource and Swiss-Prot databanks. The residues at the capping and loop positions in this expanded data set were deduced by aligning these sequences with those from the PDB files. Similar trends were observed in the two data sets. In general, polar residues were predominant in the loops, although aromatic residues were also fairly common. Glycine, a highly flexible residue with an excellent 'helix-breaking' ability, was very common at the Ccap, C' and C" residues. Proline, which can force sharp turns in the direction of a peptide backbone, was only common at the N" residue. Residues which can participate in the N-capping box motif were found with high frequency. Capping motifs at the helix C-termini (Schellman and alphaL motifs) were also somewhat common, while another helix N-terminal stabilizing motif, the hydrophobic stable, was not common. The data presented in this study should prove useful for applying the 'consensus residue' approach to the de novo design of loop regions in helical bundle proteins.

Animals↗

Initial level of care and clinical status in a managed mental health program.

Data from 9,055 adult intakes performed over two and a half years of a managed mental health care demonstration project in a large U.S. city were used as indirect measures of quality of care. The level of care to which patients were initially assigned was examined in relation to the patients' clinical status as judged by both managed care case managers and treatment providers. During the period, assignment to inpatient care of patients in almost every clinical category decreased. The decrease seemed to reflect a policy decision to limit use of all inpatient services rather than a selective elimination of unnecessary hospitalization. Case managers rated a smaller proportion of patients severely disturbed, partial hospitalization was rarely used as an alternative to inpatient care, and detoxification services were increasingly used as an inpatient alternative. Although these data reinforce common beliefs about managed care, the quality of managed care programs can be accurately assessed only with data collected specifically for evaluation purposes.

Alcoholism↗

iDC: A comprehensive toolkit for the analysis of residual dipolar couplings for macromolecular structure determination.

Measurement of residual dipolar couplings (RDCs) has become an important method for the determination and validation of protein or nucleic acid structures by NMRf spectroscopy. A number of toolkits have been devised for the handling of RDC data which run in the Linux/Unix operating environment and require specifically formatted input files. The outputs from these programs, while informative, require format modification prior to the incorporation of this data into commonly used personal computer programs for manuscript preparation. To bridge the gap between analysis and publication, an easy-to-use, comprehensive toolkit for RDC analysis has been created, iDC. iDC is written for the WaveMetrics Igor Pro mathematics program, a widely used graphing and data analysis software program that runs on both Windows PC and Mac OS X computers. Experimental RDC values can be loaded into iDC using simple data formats accessible to Igor's tabular data function. The program can perform most useful RDC analyses, including alignment tensor estimation from a histogram of RDC occurrence versus values and order tensor analysis by singular value decomposition (SVD). SVD analysis can be performed on an entire structure family at once, a feature missing in other applications of this kind. iDC can also import from and export to several different commonly used programs for the analysis of RDC data (DC, PALES, REDCAT) and can prepare formatted files for RDC-based refinement of macromolecular structures using XPLOR-NIH, CNS and ARIA. The graphical user interface provides an easy-to-use I/O for data, structures and formatted outputs.

Algorithms↗

Magnetic resonance-based vertebral morphometry of the thoracic spine: age, gender and level-specific influences.

OBJECTIVE: The aim of this study was to examine age, gender, and segmental trends in thoracic vertebral body shape, utilising thoracic spine magnetic resonance images involving an age range spanning the life span. DESIGN: A quantitative, cross-sectional, retrospective study design involving a sample of convenience. BACKGROUND: Thoracic vertebral shape data are commonly derived from radiographic resources. The non-ionising properties of magnetic resonance imaging and availability of digital data for image analysis suggest potential for MR-based morphometric studies. For the thoracic spine, there is limited vertebral shape data on males, while few studies have examined the pattern of age-related changes across the life span. METHODS: Morphometry was performed on 220 mid sagittal T1-weighted MR images using image analysis software. Three indices of vertebral shape were utilised: the antero-posterior height ratio or anterior wedge index, mid-posterior height ratio or biconcavity index, and ratio of posterior vertebral height to mid antero-posterior diameter or compression index. RESULTS: Different segmental patterns were noted for the vertebral shape indices. Significantly lower mean values were noted in males for the compression index. Age trends were significant, with a linear age-related decline demonstrated for the anterior wedge and biconcavity indices, and a quadratic trend noted for the compression index. CONCLUSIONS: Thoracic vertebral body shape may be uniquely described using specific shape indices, for examining various segmental, gender and age-associated changes. RELEVANCE: These results suggest the importance of defining specific reference criteria for thoracic vertebral body shape indices, particularly age-related data encompassing a wide age range. Magnetic resonance studies enable interpretation of vertebral shape data in relation to the wide spectrum of pathologies afflicting the thoracic spine, without the concerns of ionising radiation.

Adolescent↗

The role of the interview in student selection.

Four types of data are commonly considered in selecting applicants for academic programs: 1) test scores; 2) grade-point averages; 3) personal data; and 4) interview results. Limitations and advantages of using interview data in the selection decision are discussed. Fifteen suggestions are offered for improving the validity and reliability of interview data. Strategies for data collection and analysis are suggested for validation studies of selection interviews.

Education, Medical↗

The loss in power when the test of differential expression is performed under a wrong scale.

One of the most common and important goals of microarray studies is to identify genes that are differentially expressed between cells of different conditions. T-test and ANOVA models on the expression data are common practices to gauge the significance of the observed difference in expression levels. Transformation of the microarray data is often applied in order to satisfy the model assumptions being entertained. However, the distributional properties of the expression are gene specific, and it is impractical to find a single transformation that is universally optimal for all the genes. This difficulty results in the situation that some genes have to violate the assumptions of the model (e.g., homogeneity in variance, normality). It is thus the interest of this paper to evaluate the impact on the inference of differential expression when the test is performed under an inappropriate scale. Particularly, we quantitatively assess the loss of power when the test is performed under a wrong scale. Normal distribution and log-normal distribution of the expression data are considered. The loss in power is investigated in two scenarios: a transformation is misused, or a transformation fails to be applied. Log transformation and power transformation are particularly considered due to the fact that Box-Cox types of transformation are commonly used in practice. The impact of using a wrong scale is investigated analytically and based on simulations. The loss in power is assessed both as a function of the degree to which the assumptions are violated and as a function of the effect size. Simulations are conducted to quantitatively assess the power loss when tests are performed under a wrong scale. A public experimental microarray dataset is used to illustrate the impact of transformation on the results of testing differential expression. The results show that the loss of power is a function of CV and fold-change (effect size). The loss in power depends on the true model and on how severely the assumptions are violated.

Databases, Genetic↗

Efficacy of zinc against common cold viruses: an overview.

OBJECTIVE: To review the laboratory and clinical evidence of the medicinal value of zinc for the treatment of the common cold. DATA SOURCES: Published articles identified through Medline (1980-2003) using the search terms zinc, rhinovirus, and other pertinent subject headings. Additional sources were identified from the bibliographies of the retrieved articles. STUDY SELECTION: By the author. DATA EXTRACTION: By the author. DATA SYNTHESIS: Human rhinoviruses, by attaching to the nasal epithelium via the intracellular adhesion molecule-1 (ICAM-1) receptor, cause most colds. Ionic zinc, based on its electrical charge, also has an affinity for ICAM-1 receptor sites and may exert an antiviral effect by attaching to the ICAM-1 receptors in the rhinovirus structure and nasal epithelial cells. Clinical tests of zinc for treatment of common colds have been inconsistent, primarily because of study design, blinding, and lozenge contents. Early formulations of lozenges also were unpalatable. In three trials with similar study designs, methodologies, and efficacy assessments, zinc effectively and significantly shortened the duration of the common cold when it was administered within 24 hours of the onset of symptoms. Recent reports of trials with zinc gluconate administered as a nasal gel have supported these findings; in addition, they have shown that treatment with zinc nasal gel is effective in reducing the duration and severity of common cold symptoms in patients with established illness. CONCLUSION: Clinical trial data support the value of zinc in reducing the duration and severity of symptoms of the common cold when administered within 24 hours of the onset of common cold symptoms. Additional clinical and laboratory evaluations are warranted to further define the role of ionic zinc for the prevention and treatment of the common cold and to elucidate the biochemical mechanisms through which zinc exerts its symptom-relieving effects.

Chemistry, Pharmaceutical↗

Effectiveness of clemastine fumarate for treatment of rhinorrhea and sneezing associated with the common cold.

Limited data support the use of first-generation antihistamines for treatment of the common cold. The purpose of this study was to test the effectiveness of clemastine fumarate, a first-generation antihistamine, for treatment of sneezing and rhinorrhea associated with naturally occurring common colds. Four hundred three subjects (202 clemastine fumarate recipients and 201 placebo recipients) who reported new onset (< 24 hours) of cold symptoms that included rhinorrhea or sneezing were studied. At baseline (day 1), the mean symptom-severity scores +/- SEM for the clemastine fumarate and placebo groups were not significantly different. The mean rhinorrhea-severity score +/- SEM was not different on day 2; however, on day 3, the mean rhinorrhea-severity score +/- SEM was 1.02 +/- 0.07 for the clemastine fumarate group and 1.39 +/- 0.07 for the placebo group (P < .001). This treatment effect persisted on day 4. A significant effect on sneezing was noted on days 2-4. Sedation occurred in 14% of the clemastine fumarate-treated subjects and 1.5% of the placebo-treated subjects (P < .0001).

Adolescent↗

Non-parametric methods for recurrent event data with informative and non-informative censorings.

Recurrent event data are commonly encountered in health-related longitudinal studies. In this paper time-to-events models for recurrent event data are studied with non-informative and informative censorings. In statistical literature, the risk set methods have been confirmed to serve as an appropriate and efficient approach for analysing recurrent event data when censoring is non-informative. This approach produces biased results, however, when censoring is informative for the time-to-events outcome data. We compare the risk set methods with alternative non-parametric approaches which are robust subject to informative censoring. In particular, non-parametric procedures for the estimation of the cumulative occurrence rate function (CORF) and the occurrence rate function (ORF) are discussed in detail. Simulation and an analysis of data from the AIDS Link to Intravenous Experiences Cohort Study is presented.

Acquired Immunodeficiency Syndrome↗

A psychometric normative database for pre-liver transplantation evaluations. The Florida cohort 1991-1996.

In this study, the authors describe the psychological characteristics of a large sample (N = 407) of adult patients evaluated for liver transplantation, and provide normative data on commonly used measures of cognitive functioning, affective status, psychosocial adjustment, coping, quality of life, and life satisfaction. The normative data suggest that the study's liver transplant candidates have poorer cognitive functioning and health-related quality of life when compared with available normative comparison groups, yet the former group is more comparable to medically ill peers on measures of anxiety, depression, psychosocial adjustment, and coping. Data also suggest a high rate of affective disturbance in liver transplant candidates. Results indicate the utility of normative data, such as the authors', for providing an appropriate comparison group for liver pretransplant candidates.

Activities of Daily Living↗

To have and to hold: nursing information in the 1990s and beyond.

Within contemporary nursing a tension exists between the need to develop nursing related databases, and the philosophical underpinning of current nursing care. The arguments 'for' include the need to counteract the substitution of nurses by care attendants, the move towards evidence-based practice, and an increasing use of information technology in health care. Arguments against include the philosophies of holism, the reliance of nurse clinicians on verbal communication, the complexity of nursing data, and cumbersome nature of contemporary information systems. In a healthcare context where the value of nursing must be demonstrated, nurses will need to explore avenues that capitalise on the benefits offered by the establishment of nursing specific data bases, without compromising the preferred standard of nursing care. It is timely that contemporary activities designed to establish common nursing data sets be reviewed. Nursing minimum data sets, unified nursing languages, and more recent approaches including natural language systems, conceptual graphs, multi-axial taxonomies and multi media interfaces, make up an often confusing potpourri of approaches. The intention of this paper is to provide explanations and examples of each approach in an effort to reduce confusion and stimulate further debate.

Databases, Factual↗

Oracle Database 10g: a platform for BLAST search and Regular Expression pattern matching in life sciences.

As database management systems expand their array of analytical functionality, they become powerful research engines for biomedical data analysis and drug discovery. Databases can hold most of the data types commonly required in life sciences and consequently can be used as flexible platforms for the implementation of knowledgebases. Performing data analysis in the database simplifies data management by minimizing the movement of data from disks to memory, allowing pre-filtering and post-processing of datasets, and enabling data to remain in a secure, highly available environment. This article describes the Oracle Database 10g implementation of BLAST and Regular Expression Searches and provides case studies of their usage in bioinformatics. http://www.oracle.com/technology/software/index.html.

Amino Acid Motifs↗

[In order to perform clinical trials efficiently in Japan--important issues in medical institutions raised by the GCP on-site review].

The guidelines for Good Clinical Practice (GCP) in Japan have been harmonized with ICH-GCP. Both the protection of human rights and the carrying out of clinical trials ethically and scientifically, conforming to the GCP, are necessary for the safety and efficacy of clinical data of common technical documents. It is standard practice in Japan, the U.S., and the E.U. to ensure conformity with all data from raw data to application materials. In April, 2004, the new independent organization Pharmaceuticals and Medical Devices Agency (PMDA) was established in Japan. The PMDA provides services focusing on the three key areas of Review, Safety, and Relief. The Office of Conformity Audit is one of the offices in the Center for Product Evaluation of the PMDA. In the conformity audit service of the Office of Conformity Audit of the PMDA, the reliability and conformity with the GCP between case report forms (CRFs) as basis materials and application materials is confirmed by the document-based conformity review, and the conformity between medical records as raw data and CRFs is assessed through the on-site GCP review. Therefore, such application materials are considered to be consistent with international standards. The important issues raised by the GCP on-site review by the Office of Conformity Audit of the PMDA are summarized in this study. We hope that our findings at investigational sites will promote the protection of human rights and improve the quality of clinical trials in Japan.

Clinical Protocols↗

A reduction factor in goodness-of-fit and independence tests for clustered and weighted observations.

Situations often arise in a large-scale household survey where a complex probability sample of clusters rather than of individuals is drawn from a large population. Typically, the clusters of such complex samples include a number of correlated members. The responses of these members are then weighted to obtain estimates for the population. Such weighted data are commonly published by the National Center for Health Statistics and other U.S. federal agencies. Frequently, problems arise when such data are tested by usual chi-square test statistics for goodness of fit or independence. Researchers have discovered that the usual chi-square tests provide spuriously inflated results when applied to cluster samples and that new methods are required to correct such problems. This paper proposes a strategy for a goodness-of-fit or independence test based on correlated and weighted data arising in cluster samples, and provides a factor that validly reduces the inflation of the usual chi-square statistics. This method is applied to the chronic condition data collected from the St Paul-Minneapolis, Minnesota, primary sampling unit (PSU) during the 1975 National Health Interview Survey (NHIS). This analysis, together with simulation studies presented elsewhere, provides evidence that the usual chi-square statistics from such data can be corrected for the impacts of clustering and weighting by use of the proposed reduction factor.

Analysis of Variance↗

An improved CML estimation procedure for the Rasch model with item response data.

Ordinal response data are commonly observed in health and medical investigations that include several items. The primary goal in the modelling of item response data is to find a unique measurement of the person's abilities and of the item difficulties that satisfies the properties of the fundamental measurement. One such analytic method in item response theory is the Rasch measurement, which is a way to convert ordinal observations into linear measures. Current estimation strategies assume the independence of the Rasch model parameters. In this paper, based on the conditional maximum likelihood, we implemented a simultaneous estimation method that can compare the Rasch parameters more efficiently. We also obtained the asymptotic properties of these estimators and developed the conditional likelihood ratio test for the goodness-of-fit of the model. Simulation studies were used to demonstrate the improved performance of our estimators as compared to that of currently used conditional method known as the CON procedure. We conclude that our estimation method outperforms CON in both model fit and the precision of the Rasch estimators.

Computer Simulation↗

Are influenza surveillance data useful for mapping presentations?

Geographical information system (GIS) based on mappings of influenza data are rare (http://www.b3e.jussieu.fr.80/sentiweb/fr) and influenza data are commonly aggregated for rather large areas (http://www.eiss.org, http://oms2b3e.jussieu.fr/FluNet). The most limiting factors for the use of morbidity-data from practices in GIS-based mappings are differences which are not related to morbidity. These differences may be due to consultation behaviour, interpretation of the case definition, age distribution of patients and other reasons. In order to reduce the impact of these non-morbidity related differences on the interpretation, the data of many practices are usually pooled and consequently rather large areas are presented. Extracting and harmonising the signals for increased morbidity from practices is a presupposition for mapping with a sufficient geographical resolution. The possibility to harmonise by reducing those confounding differences on a practice level is investigated. Different harmonisation methods were applied to data from Germany where acute respiratory infections (ARI) per consultations are registered and from The Netherlands were influenza like illnesses (ILI) per population are registered. The harmonisation of the indices between countries was achieved by scaling them in relation to the level of the index representative for the peak activity during a usual influenza epidemic. The Kriging method is applied as a means of spatial prediction for the influenza data. The preliminary results are discussed with respect to resulting mappings.

Data Interpretation, Statistical↗

Molecular approaches for inferring evolutionary relationships among protistan parasites.

Within the diverse group of parasites broadly recognized as protists, there are limited morphological characters that can be used to distinguish species and even fewer characters that can infer evolutionary relationships among species. For this reason, molecular data are commonly used to infer relationships among species and strains. These studies most commonly rely on sequences associated with the ribosomal RNA genes but increasingly other nuclear, mitochondrial or plastid genes are contributing data. Molecular systematics has been invaluable in expanding the range of characters that are available for inferring relationships among protistan taxa. As an adjunct to morphological characters, sequence data allow us to better understand the evolutionary history of this group of parasites and thereby erect a well-supported taxonomic framework that reflects these historical relationships. Importantly, the predictive nature of such a framework can aid the search for therapeutic compounds (e.g. via shared biochemical pathways) and highlight organisms that should be tested for cross-reactivity in immunological or molecular diagnostic methods (e.g. use of the closest relatives to assess test specificity). For emergent and poorly known parasites, molecular characterization and placement within the broader phylogenetic framework can help predict likely life history traits, including possible or likely definitive hosts.

Animals↗

Akaike's information criterion in generalized estimating equations.

Correlated response data are common in biomedical studies. Regression analysis based on the generalized estimating equations (GEE) is an increasingly important method for such data. However, there seem to be few model-selection criteria available in GEE. The well-known Akaike Information Criterion (AIC) cannot be directly applied since AIC is based on maximum likelihood estimation while GEE is nonlikelihood based. We propose a modification to AIC, where the likelihood is replaced by the quasi-likelihood and a proper adjustment is made for the penalty term. Its performance is investigated through simulation studies. For illustration, the method is applied to a real data set.

Biometry↗