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Results for “Translational Research, Biomedical”

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PubMed2003

Advances in nonhuman primate alcohol abuse and alcoholism research.

Advances in our understanding of the biological basis of alcohol abuse and alcoholism and the development of prevention and therapeutic intervention require appropriate animal models. Nonhuman primates are important to the study of complex biomedical disease processes. Genetic, anatomical, physiological, and behavioral similarities to humans offer unique opportunities for translational research along with the advantage of a degree of experimental control that is not possible in human studies. The purpose of this review is to outline the approaches taken with nonhuman primates as subjects in alcohol research and to highlight our current understanding of data on organismal variables that can be uniquely studied in these complex organisms. We review literature on alcohol self-administration to provide an integrative framework for discussion of progress in 2 important areas of research. Designs that incorporate self-administration provide a context for studying excessive alcohol consumption, including the organismal and environmental factors that influence risk for heavy drinking. We then review the use of monkeys to identify aspects of adverse biomedical consequences that follow excessive alcohol consumption. One of the primary conclusions to be drawn from this review is that nonhuman primates are a central part of the translational bridge in alcohol research, providing powerful and unique opportunities for experimental work that can address the biomedical complexities of alcohol abuse and alcoholism.

Alcoholism↗
PubMed2006

Evolution and translation of research findings: from bench to where?

The credibility and replication of research findings evolve over time, as data accumulate. However, translation of postulated research promises to real-life biomedical applications is uncommon. In some fields of research, we may observe diminishing effects for the strength of research findings and rapid alternations of exaggerated claims and extreme contradictions--the "Proteus Phenomenon." While these phenomena are probably more prominent in the basic sciences, similar manifestations have been documented even in clinical trials and they may undermine the credibility of clinical research. Significance-chasing bias may be in part responsible, but the greatest threat may come from the poor relevance and scientific rationale and thus low pre-study odds of success of research efforts. Given that we currently have too many research findings, often with low credibility, replication and rigorous evaluation become as important as or even more important than discovery. Credibility, replication, and translation are all desirable properties of research findings, but are only modestly correlated. In this essay, I discuss some of the evidence (or lack thereof) for the process of evolution and translation of research findings, with emphasis on the biomedical sciences.

Journal Article↗
PubMed2004

Technology insight: Identification of biomarkers with tissue microarray technology.

High-throughput technologies have been developed in the hope of increasing the pace of biomedical research, and accelerating the rate of translation from bench to bedside. Using such technology in target discovery has resulted in the need for systematic validation of the targets in an equally rapid manner. For example, gene expression microarrays have highlighted many potential targets in cancer, and tissue microarrays have emerged as a powerful tool to validate these targets by measuring tumor-specific protein expression and linking it to clinical outcome. Automated quantitative analysis of the tissue microarray 'spots' is beginning to take the technology a step further, removing observer bias, and providing standards for quality control and the potential for high-throughput analysis. The validation required for translation of tissue biomarkers from the research lab to the clinical lab will probably rely heavily on the combination of tissue microarray technology with automated quantitative analysis.

Biomarkers, Tumor↗
PubMed2005

Promoting translational research in academic health centers: navigating the "roadmap".

The translation of hypothesis-driven research laboratory findings about basic disease mechanisms into clinically useful tests or therapies, particularly in pediatric diseases, is time-consuming, expensive, and not well supported by traditional research grant mechanisms. Accordingly, the development of new drugs and clinical assays has typically been largely the domain of the pharmaceutical industry. Aside from partnering with for-profit companies, academic health centers are challenged to find ways to actively engage in biomedical research to bridge the gap between basic and clinical research. The Translational Research Initiative (TRI) at Cincinnati Children's Hospital Medical Center was launched in 2001 with the mission to build an institutional infrastructure for promoting and facilitating the clinical implementation of investigator-initiated basic research. The TRI's goals are to provide grant support for proposals that are translational in nature and that address serious diagnostic or therapeutic deficiencies in pediatric illnesses; to create and support specialized research cores and a specialized office that provides support for research protocol development and regulatory affairs; and to organize educational opportunities focused on bridging communication between basic and clinical scientists and encouraging multidisciplinary interactions. The authors describe the program structure and provide an interim outcome report as measured by extramural funding obtained, Investigational New Drug applications filed, manuscripts published, clinical trials launched, and educational initiatives created. The broad success of this program suggests that it might serve as a model for other academic health centers in promoting and conducting translational research.

Academic Medical Centers↗
PubMed2006

The logic behind a multimethod intervention to improve adherence to clinical practice guidelines in a nationwide network of primary care practices.

The gap between evidence-based guidelines for clinical care and their application in medical settings is well established and widely discussed. Effective interventions are needed to help health care providers reduce this gap. Whereas the development of clinical practice guidelines from biomedical and clinical research is an example of Type 1 translation, Type 2 translation involves successful implementation of guidelines in clinical practice. This article describes a multimethod intervention that is part of a Type 2 translation project aimed at increasing adherence to clinical practice guidelines in a nationwide network of primary care practices that use a common electronic medical record (EMR). Practice performance reports, site visits, and network meetings are intervention methods designed to stimulate improvement in practices by addressing personal and organizational factors. Theories and evidence supporting these interventions are described and could prove useful to others trying to translate medical research into practice. Additional theory development is needed to support translation in medical offices.

Biomedical Research↗
PubMedDate not supplied

Clinical trials in children.

The imperative to undertake randomised trials in children arises from extraordinary advances in basic biomedical sciences, needing a matching commitment to translational research if child health is to reap the benefits from this new knowledge. Unfortunately, many prescribed treatments for children have not been adequately tested in children, sometimes resulting in harmful treatments being given and beneficial treatments being withheld. Government, industry, funding agencies, and clinicians are responsible for research priorities being adult-focused because of the greater burden of disease in adults, coupled with financial and marketing considerations. This bias has meant that the equal rights of children to participate in trials has not always been recognised. This is changing, however, as the need for clinical trials in children has been increasingly recognised by the scientific community and broader public, leading to new legislation in some countries making trials of interventions mandatory in children as well as adults before drug approval is given. Trials in children are more challenging than those in adults. The pool of eligible children entering trials is often small because many conditions are uncommon in children, and the threshold for gaining consent is often higher and more complex because parents have to make decisions about trial participation on behalf of their child. Uncertain about what is best, despite supporting the notion of trials in principle, parents and paediatricians generally opt for the new intervention or for standard care rather than trial participation. In this review, we explore issues relating to trial participation for children and suggest some strategies for improving the conduct of clinical trials involving children.

Child↗
PubMed2025

AI-HOPE: an AI-driven conversational agent for enhanced clinical and genomic data integration in precision medicine research.

MOTIVATION: The growing complexity of clinical cancer research has fueled a surge in demand for automated bioinformatics tools capable of integrating clinical and genomic data to accelerate discovery efforts. RESULTS: We present the Artificial Intelligence Agent for High-Optimization and Precision Medicine (AI-HOPE), an AI-driven system that enables domain experts to conduct integrative data analyses through natural language interactions. Powered by Large Language Models, AI-HOPE interprets user instructions, converts them into executable code, and autonomously analyzes locally stored data. It supports flexible association studies, subset comparisons, clinical prevalence assessments and survival analyses. In addition, AI-HOPE enables global variable scans to identify features significantly associated with a user-defined outcome, making a powerful and intuitive tool for advancing precision medicine research. Importantly, its closed-system design prevents clinical data leakage. To demonstrate its utility, AI-HOPE was applied to The Cancer Genome Atlas data to address two clinical questions. First, it identified significant enrichment of TP53 mutations in late-stage colorectal cancer compared to early-stage cases. Second, it uncovered a strong association between KRAS mutations and poorer progression-free survival in FOLFOX-treated patients. These findings align with established literature and demonstrate AI-HOPE's ability to generate meaningful insights independently, without prior assumptions. By removing programming barriers and simplifying complex analyses, AI-HOPE bridges the gap between data complexity and research needs. With its scalable and adaptable framework, AI-HOPE has the potential to support diverse biomedical research fields, driving innovation and efficiency in translational studies. AVAILABILITY AND IMPLEMENTATION: The AI-HOPE software and demonstration data is available at https://github.com/Velazquez-Villarreal-Lab/AI-HOPE.

Precision Medicine↗
PubMed2006

Genetic advances in inflammatory bowel disease.

The translation of basic science advances to tangible benefits in clinical practice remains a fundamental goal of biomedical research. Genetic approaches provide a unique opportunity to enhance bench-to-bedside translational efforts, with inflammatory bowel disease (IBD) being a model genetic disorder in several respects. The association of the NOD2 (CARD15) mutations to Crohn's disease (CD) represents, in complex human disorders, one of the clearest cases of a definitive disease association. The NOD2 gene is located in the IBD1 genetic linkage region on chromosome 16 and functions as an intracellular pattern recognition receptor for components of bacterial peptidoglycan. CD-associated variants within NOD2 have a decreased capacity to appropriately signal with peptidoglycan and provide an important example of gene-environment interactions. Genetic variation in other innate immune receptors, notably Toll-like receptor (TLR)4, has been defined and may also play a role in CD pathogenesis. Replicated CD association in the IBD5 region on chromosome 5q has been reported, and candidate functional polymorphisms within the organic cation transporters OCTN1 (SLC22A4) and OCTN2 (SLC22A5) have been described. Confirmatory studies demonstrating altered OCTN activity and expression in primary human cells stratified on the IBD5 risk haplotype would provide important confirmatory support for disease contribution. A comprehensive understanding of IBD will involve integrating information from animal models, functional human polymorphisms, and expression studies from human IBD tissues. Genes and pathways implicated as contributing to IBD pathogenesis through multiple lines of evidence should be more intensively examined, including the tumor necrosis factor-alpha, MDR1, and peroxisome proliferator-activated receptor (PPAR)gamma pathways. To attain full advantage of new genetic information, novel methods of classifying patients that go beyond phenotypic classifications presently utilized will be required. Genetic data will need to be integrated with novel biomarker development in IBD, including functional, expression (mRNA or protein), or biochemical indicators of physiologic/disease processes and responses to therapies.

Journal Article↗