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At least 559 records · Page 31Linked to original sources
PubMedDate not supplied

A procedure for the safety evaluation of flavouring substances. Joint FAO/WHO Expert Committee on Food Additives.

This review describes a procedure for the safety evaluation of flavouring substances. Over 2500 flavouring substances are currently in use in food. While toxicity data do not exist on all flavouring substances currently in use, within structurally related groups of flavouring substances many do have toxicity data and this information along with knowledge of structure-activity relationships and data on the daily intake provides a framework for safety evaluation. The safety evaluation procedure provides a scientifically based practical method of integrating data on intake, structure-activity relationships, metabolism and toxicity to evaluate flavouring substances in a timely manner. The procedure has been used recently by the Joint FAO/WHO Expert Committee on Food Additives (JECFA) to evaluate a total of 263 flavouring substances.

Flavoring Agents↗
PubMedDate not supplied

Heterogeneity of obsessive-compulsive disorder: a literature review.

Significant advances have been made in characterizing the phenomenology and psychobiology of obsessive-compulsive disorder (OCD) in recent years. In many ways, such advances suggest a conceptualization of OCD as a relatively homogeneous neuropsychiatric entity, underpinned by particular mechanisms that manifest in universal symptoms. Nevertheless, some data have pointed to the heterogeneity of this disorder. A computerized literature search (MEDLINE: 1964-2001) was used to collect studies addressing the heterogeneity of OCD. In addition, reviews of the phenomenology, psychobiology, family studies, and treatment of OCD were examined in an attempt to collate data addressing this issue. There is a growing consensus that some subtypes of OCD are valid and provide a useful means of integrating data on its symptomatology, neurobiology, and treatment response; for example, OCD with comorbid tics is characterized by earlier onset, a particular range of OCD symptoms, and worse response to selective serotonin reuptake inhibitors. The heterogeneity of OCD has important clinical and research implications.

Dopamine↗
PubMed2007

SYSTOMONAS--an integrated database for systems biology analysis of Pseudomonas.

To provide an integrated bioinformatics platform for a systems biology approach to the biology of pseudomonads in infection and biotechnology the database SYSTOMONAS (SYSTems biology of pseudOMONAS) was established. Besides our own experimental metabolome, proteome and transcriptome data, various additional predictions of cellular processes, such as gene-regulatory networks were stored. Reconstruction of metabolic networks in SYSTOMONAS was achieved via comparative genomics. Broad data integration is realized using SOAP interfaces for the well established databases BRENDA, KEGG and PRODORIC. Several tools for the analysis of stored data and for the visualization of the corresponding results are provided, enabling a quick understanding of metabolic pathways, genomic arrangements or promoter structures of interest. The focus of SYSTOMONAS is on pseudomonads and in particular Pseudomonas aeruginosa, an opportunistic human pathogen. With this database we would like to encourage the Pseudomonas community to elucidate cellular processes of interest using an integrated systems biology strategy. The database is accessible at http://www.systomonas.de.

Bacterial Proteins↗
PubMed1999

DIABCARD core system--a chip card medical information system for diabetes care.

A chip card based medical information system was developed as a good possibility to create a portable electronic patient record. The produced software module provides an on-line, portable diabetes medical record information system. In particular the patient data card makes the up-to-date patient's record available whenever needed. The developed Core System includes a patient record management system that has the ability to handle topics such as medical anamnesis, administrative, medical and physical examination data. Issues tackled were simplicity, data security and reporting. Customization and internationalization were also covered by presenting a novel approach using native initialization files. Proper care has been addressed during the development of the software modules for matters of security, data integrity and confidentiality.

Computer Security↗
PubMed1986

Defining drug use: a model for the integration of measures through the census tract.

The nature and severity of drug use has been measured both directly and indirectly by various studies employing different indicators, although the majority of studies still tend to use single measures of drug use. The need to employ multiple measures in examining drug abuse is constrained by the fact that available data may have been collected through diverse methodologies and measured on different levels or units. The purpose of this study was to develop and test in Philadelphia a model using qualitatively different types of data integrated by the common geographic unit of a census tract. The types of data used included: archival data, key informant data, and survey data. Using this approach the paper examines the relationships of drug use measures to each other, to the social environment, and to drug market factors. Major findings of the analysis indicate that there are several independent measures of drug use as reflected in five composite indicators which differentiate behavioral activities or consequences of drug use. Moreover, heroin use indicators exhibit relationships with social-environmental characteristics and drug market factors which are different from those existing with amphetamine or synthetic drug use.

Adult↗
PubMed1998

Program integrity in primary and early secondary prevention: are implementation effects out of control?

We examined the extent to which program integrity (i.e., the degree to which programs were implemented as planned) was verified and promoted in evaluations of primary and early secondary prevention programs published between 1980 and 1994. Only 39 of 162 outcome studies featured specified procedures for the documentation of fidelity. Of these, only 13 considered variations in integrity in analyzing the effects of the program. Lowered adherence to protocol was often associated with poorer outcome. There was mixed evidence of dosage effects. The omission of integrity data, particularly measures of adherence, may compromise the internal validity of outcome studies in the prevention literature. We do not view procedures for integrity verification as inconsistent with the adaptation of interventions to the needs of receiving communities.

Adolescent↗
PubMed2002

Accessing genomic data through XML-based remote procedure calls.

As the amount of data in public genomic databases grows, interoperability among them is becoming an increasingly critical feature. The ability for automated systems to mine and integrate data will be crucial to extracting knowledge from sources of data whose volume far exceeds the capabilities of human researchers. The currently dominant paradigm of presenting information as Web pages and using hyperlinks to describe relationships between pieces of information favors usability, but makes interoperability and automated data exchange more difficult. In this paper we describe how SNPper, a web-based system for the retrieval and analysis of Single Nucleotide Polymorphisms (SNPs), was augmented with a Remote Procedure Call interface, allowing client applications to query our program for SNP data and to receive the response as an XML document. Data represented in this form can be easily parsed by the requesting program, and thus reused for other applications. In this paper we describe the implementation of the interface and we show examples of its usage in a number of existing applications.

Databases, Genetic↗
PubMed2000

A gene knockout corroborates the integral function of cellular retinol-binding protein in retinoid metabolism.

Continually expanding evidence has moved inexorably toward establishing key functions for cellular retinol-binding protein (CRBP) in retinoid metabolism. These experimental data integrate into a model of CRBP as a chaperone that protects retinol from the cellular milieu and interacts with certain retinoid-metabolizing enzymes. Mutant mice with an inactivated CRBP gene show decreased liver retinyl ester storage, a shorter elimination half-life of liver retinoids, and predisposition to vitamin A deficiency. No morphologic phenotype was observed until vitamin A was exhausted. Although the mechanisms underlying diminished vitamin A in the CRBP-null mice have not been elucidated, the observations support the model of CRBP as a chaperone of retinoid metabolism.

Amino Acids↗
PubMed2025

ATAC-seq in Emerging Model Organisms: Challenges and Strategies.

The Assay for Transposase-Accessible Chromatin with sequencing (ATAC-seq) is a versatile and widely utilized method for identifying potential regulatory regions, such as promoters and enhancers, within a genome. ATAC-seq has been successfully applied to a wide range of established and emerging model organisms. However, implementing this method in emerging model systems, such as arthropods, can be challenging due to several factors that influence data quality. These factors include the availability of a sufficient amount and quality of tissue or cells, the need for species- and tissue-specific protocol optimization, the completeness and accuracy of the reference genome, and the quality of the genome annotation. In this article, we emphasize the key steps in the ATAC-seq protocol that, based on our experience, have the greatest impact on data quality when adapting this method for emerging model organisms. Specifically, we discuss the importance of nuclei isolation, the incubation conditions of the Tn5 transposase, and PCR amplification of the library. Furthermore, we outline essential quality checkpoints during the bioinformatic analysis of ATAC-seq data to assist in assessing data integrity and consistency. Given that many emerging model organisms may not be readily available in laboratory cultures, we also emphasize the importance of evaluating how different preservation methods affect ATAC-seq data quality. Based on examples in one spider and one ant species, we demonstrate that replication and thorough quality controls at all steps of the protocol and data analysis are essential to assess the usability of ATAC-seq data. Our data highlights the importance of isolating the right number of intact nuclei, as well as ensuring optimal amplification conditions during library preparation to obtain good-quality sequence data for downstream analyses. We recommend using fresh tissue samples if possible because we show that direct cryopreservation of the tissue may affect chromatin integrity. This effect could be avoided or reduced by preserving the homogenate in cell culture medium. Overall, we explain the ATAC-seq protocol and downstream analyses in detail and give step-by-step advice to researchers who are new to the field and want to implement this method. With careful planning and validation, ATAC-seq can reveal the regulatory landscape of a genome and aid in identifying elements that govern gene expression.

Animals↗
PubMedDate not supplied

Interactive exploration of data traffic with Hierarchical Network Maps.

Network communication has become indispensable in business, education, and government. With the pervasive role of the Internet as a means of sharing information across networks, its misuse for destructive purposes, such as spreading malicious code, compromising remote hosts, or damaging data through unauthorized access, has grown immensely in the recent years. The classical way of monitoring the operation of large network systems is by analyzing the system logs for detecting anomalies. In this work, we introduce Hierarchical Network Map, an interactive visualization technique for gaining a deeper insight into network flow behavior by means of user-driven visual exploration. Our approach is meant as an enhancement to conventional analysis methods based on statistics or machine learning. We use multidimensional modeling combined with position and display awareness to view source and target data of the hosts in a hierarchical fashion with the ability to interactively change the level of aggregation or apply filtering. The interdisciplinary approach integrating data warehouse technology, information visualization, and decision support, brings about the benefit of efficiently collecting the input data and aggregating over very large data sets, visualizing the results, and providing interactivity to facilitate analytical reasoning.

Algorithms↗
PubMed2026

Recent Advances in Multi-Omics of Systemic Lupus Erythematosus.

This comprehensive narrative review examines recent advances in multi-omics research for Systemic Lupus Erythematosus (SLE), emphasizing integrated approaches over single-omics studies. The review critically evaluates technological advancements, methodological innovations, and clinical applications while identifying current limitations and future research directions. We conducted a comprehensive narrative review following SANRA guidelines, searching PubMed, Web of Science, Scopus, and Embase, covering publications from January 2018 to June 2025. The review focuses on studies integrating two or more omics layers in SLE research, with emphasis on computational methods, biomarker validation, and clinical applications. Multi-omics integration has revealed critical insights into SLE pathogenesis, including immune cell heterogeneity, gene-environment interactions, and metabolic dysregulation. However, significant challenges remain in data integration methodologies, small sample sizes, and biomarker reproducibility. Current computational approaches include early integration (concatenation), intermediate integration (joint dimensionality reduction), and late integration (ensemble methods). While multi-omics approaches offer unprecedented insights into SLE complexity, standardized integration protocols and robust validation frameworks are urgently needed. Small sample sizes and heterogeneity issues limit reproducibility, particularly affecting biomarker discovery and clinical translation. Multi-omics integration represents a paradigm shift toward precision medicine in SLE, but realizing this potential requires addressing current methodological limitations, standardizing validation processes, and developing robust computational frameworks for reliable clinical applications.

Humans↗
PubMed2001

A metadata framework for interoperating heterogeneous genome data using XML.

The rapid advances in the Human Genome Project and genomic technologies have produced massive amounts of data populated in a large number of network-accessible databases. These technological advances and the associated data can have a great impact on biomedicine and healthcare. To answer many of the biologically or medically important questions, researchers often need to integrate data from a number of independent but related genome databases. One common practice is to download data sets (text files) from various genome Web sites and process them by some local programs. One main problem with this approach is that these programs are written on a case-by-case basis because the data sets involved are heterogeneous in structure. To address this problem, we define metadata that maps these heterogeneously structured files into a common eXtensible Markup Language (XML) structure to facilitate data interoperation. We illustrate this approach by interoperating two sets of essential yeast genes that are stored in two yeast genome databases (MIPS and YPD).

Databases, Genetic↗
PubMed1991

The social demography of drug use.

This review of the epidemiology of drug use and drug dependence/abuse describes the overall current pattern of use of mood-changing legal and illegal drugs based on the most recently available data, variations in drug use among subgroups in the population, and trends in drug use over time. This is the first systematic attempt to integrate data on patterns of use with data on drug dependence/abuse. In the course of the analysis an effort is made to account for two paradoxes: blacks report the lowest rate of drug use in general population studies, yet constitute the largest category of treated cases or drug-related casualties. Although prevalence of cocaine use in the general population decreased, beginning in 1986, morbidity and mortality related to cocaine increased sharply in 1990.

Age Factors↗
PubMed2026

Advancing One Health genomics in Africa: opportunities and challenges for outbreak and antimicrobial resistance control.

SUMMARYAfrica's ongoing struggles with emerging epidemics and antimicrobial resistance (AMR) underscore the urgency of integrating pathogen genomics and surveillance systems into the continent's One Health strategy, particularly given the existing limitations in preparedness and technological resources. This review brings together current evidence on the growth of sequencing infrastructure, the development of regional genomic hubs, and the establishment of governance frameworks, while identifying critical challenges in data integration, bioinformatics capacity, and sustainable financing. Special focus is placed on the lack of African-based genomic data, with our analysis showing that only 1.82% of the global total is available. Case studies illustrate the immense potential and importance of pathogen genomics, giving policymakers a tangible sense of its impact. These examples demonstrate how genomic technologies integrated with artificial intelligence (AI) are transforming outbreak response, AMR surveillance, and stewardship programs by enabling early detection of zoonotic threats, mapping transmission pathways, and guiding vaccine development. However, to fully realize this scientific intel, it is essential to embed One Health pathogen surveillance within strong policy and system frameworks to ensure the translation of technical progress into lasting institutional capacity and sustainable impact. Long-term implementation depends on coordinated investment and advocacy across four interdependent pillars: data architecture, governance and sovereignty, human capital, and technical capacity.

Humans↗
PubMed2002

Immunoproteomics of Helicobacter pylori infection and relation to gastric disease.

The Gram negative bacterium Helicobacter pylori is a human pathogen which infects the gastric mucosa and causes an inflammatory process leading to gastritis, ulceration and cancer. A systematic, proteome based approach was chosen to detect candidate antigens of H. pylori for diagnosis, therapy and vaccine development and to investigate potential associations between specific immune responses and manifestations of disease. Sera from patients with active H. pylori infection (n = 24), a control group with unrelated gastric disorders (n = 12) and from patients with gastric cancer (n = 6) were collected and analyzed for the reactivity against proteins of the strain HP 26695 separated by two-dimensional electrophoresis. Overall, 310 antigenic protein species were recognized by H. pylori positive sera representing about 17% of all spots separated. Out of the 32 antigens most frequently recognized by H. pylori positive sera, nine were newly identified and 23 were confirmed from other studies. Three newly identified antigens which belong to the 150 most abundant protein species of H. pylori, were specifically recognized by H. pylori positive sera: the predicted coding region HP0231, serine protease HtrA (HP1019) and Cag3 (HP0522). Other antigens were recognized differently by sera from gastritis and ulcer patients, which may identify them as candidate indicators for clinical manifestations. The data from these immunoproteomic analyses are added to our public database (http://www.mpiib-berlin.mpg.de/2D-PAGE). This platform enables one to compile many protein profiles and to integrate data from other studies, an approach which will greatly assist the search for more immunogenic proteins for diagnostic assays and vaccine design.

Antibodies, Bacterial↗
PubMed1996

Clinical applications of cerebral monitoring.

Direct cerebral monitoring is not yet in routine use in the intensive care unit or the operating theatre, despite the brain's sensitivity to ischaemia, and the potentially devastating consequences. Instead, reliance is placed upon indirect indicators such as general physiological parameters and observation of reflexes such as pupillary size and reaction to light. Complexity in the collection of artefact-free data and in the interpretation of the encephalogram, in the presence of anaesthetic/sedative drugs has deterred its widespread use. However, modern methods of processing and integrating data, (electroencephalographic/evoked potentials, haemodynamic and oxygen measures) together with the availability of powerful, robust microprocessors may well facilitate the development of on-line systems which can warn of cerebral deterioration. These would be of particular value in critically ill patients, and those at risk during or after operative procedures such as neurosurgery, cardiopulmonary bypass and carotid endarterectomy.

Anesthesia↗
PubMed2026

Efforts towards a precision medicine approach in juvenile idiopathic arthritis.

Juvenile idiopathic arthritis (JIA) is the commonest group of childhood arthritides. Despite the availability of advanced therapeutics, many children and young people (CYP) with JIA experience disease flares, and in some, chronic joint damage. Tailoring treatment based on unique biological profiles would benefit CYP with JIA given their variable clinical presentation and disease course. To date, biomarkers to predict treatment response are lacking. With advances in single cell technologies, we are now able to profile the genes and proteins of target tissues at unprecedented resolution to define the biological basis of disease and guide novel treatment approaches. The complex analyses and combination of biological and clinical outcome data from large datasets across disease phenotypes have become possible with the development of computational and machine learning methods. Here, we summarize the strategies to integrate data through multimodal based approaches to maximize precision medicine and research priorities for CYP with JIA.

Humans↗
PubMedDate not supplied

The path of least resistance: is there a better route?

In May 2000, the radiology department at Stanford University Medical Center embarked on a five-year journey toward complete digitization. While the end goal was known, there was much less certainty about the steps involved along the way. Stanford worked with a team from GE Medical Systems to implement Six Sigma process improvement methodologies and related change management techniques. The methodical and evidence-based framework of Six Sigma significantly organized the process of "going digital" by breaking it into manageable projects with clear objectives. Stanford identified five key areas where improvement could be made: MR outpatient throughput, CT inpatient throughput, CT outpatient throughput, report turnaround time, and Lucile Packard Children's Hospital CR/Ortho throughput and digitization. The CT project is presented in this article. Although labor intensive, collecting radiology data manually is often the best way to obtain the level of detail required, unless there is a robust RIS in place with solid data integrity. To gather the necessary information without unduly impacting staff and workflow at Stanford, the consultants working onsite handled the actual observation and recording of data. Some of the changes introduced through Six Sigma may appear, at least on the surface, to be common sense. It is only by presenting clear evidence in terms of data, however, that the improvements can actually be implemented and accepted. By converting all appointments to 30 minutes and expanding hours of operation, Stanford was able to boost diagnostic imaging productivity, volume and revenue. With the ability to scan over lunch breaks and rest periods, potential appointment capacity increased by 140 CT scans per month. Overall, the CT project increased potential for outpatient appointment capacity by nearly 75% and projected over $1.5 million in additional annual gross revenue. The complex process of moving toward a digital radiology department at Stanford demonstrates that healthcare cannot be healed by technology alone. The ability to optimize patient services revolves around a combination of leading edge technology, dedicated and well-trained staff, and careful examination of processes and productivity.

Appointments and Schedules↗