Author
David Rodbard
Other affiliations: Uniformed Services University of the Health Sciences
Bio: David Rodbard is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Receptor & Glycemic. The author has an hindex of 62, co-authored 189 publications receiving 27414 citations. Previous affiliations of David Rodbard include Uniformed Services University of the Health Sciences.
Papers published on a yearly basis
Papers
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TL;DR: This approach provides two major advantages compared with other available methods: it uses an exact mathematical model of the ligand-binding system, thereby avoiding the possible biases introduced by several commonly used approximations and it uses a statistically valid, appropriately weighted least-squares curve-fitting algorithm with objective measurement of goodness of fit.
8,717 citations
TL;DR: A general computerized method is developed to describe the dose-response curves in terms of basal and maximal responses, ED50, and curve shape or steepness, which permits rigorous statistical analysis, provides a basis for pooling of information from separate experiments, and allows one to test which characteristics are shared by various curves.
Abstract: Physiological and pharmacological studies of hormones, drugs, and neurotransmitters often generate families of sigmoidal dose-response curves. Optimally efficient data analysis should involve simultaneous description of all curves, rather than fitting each one individually. We have developed a general computerized method to describe the dose-response curves in terms of basal and maximal responses, ED50, and curve shape or steepness. This facile method permits rigorous statistical analysis, provides a basis for pooling of information from separate experiments, and allows one to test which characteristics are shared by various curves.
2,452 citations
Ljubljana University Medical Centre1, King's College London2, Vita-Salute San Raffaele University3, Stanford University4, American Diabetes Association5, University of Padua6, Harvard University7, University of Amsterdam8, University of Sydney9, University of Colorado Denver10, University of Sheffield11, University of Washington12, University of Cambridge13, Shanghai Jiao Tong University14, University of Virginia15, JDRF16, Katholieke Universiteit Leuven17, University of East Anglia18, San Antonio River Authority19, Steno Diabetes Center20, University of Montpellier21, University of Florida22, Nihon University23, Yale University24, Tel Aviv University25
TL;DR: This article summarizes the ATTD consensus recommendations for relevant aspects of CGM data utilization and reporting among the various diabetes populations.
Abstract: Improvements in sensor accuracy, greater convenience and ease of use, and expanding reimbursement have led to growing adoption of continuous glucose monitoring (CGM). However, successful utilization of CGM technology in routine clinical practice remains relatively low. This may be due in part to the lack of clear and agreed-upon glycemic targets that both diabetes teams and people with diabetes can work toward. Although unified recommendations for use of key CGM metrics have been established in three separate peer-reviewed articles, formal adoption by diabetes professional organizations and guidance in the practical application of these metrics in clinical practice have been lacking. In February 2019, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress convened an international panel of physicians, researchers, and individuals with diabetes who are expert in CGM technologies to address this issue. This article summarizes the ATTD consensus recommendations for relevant aspects of CGM data utilization and reporting among the various diabetes populations.
1,776 citations
TL;DR: A model of steroid transport in human plasma is described, finding that normal men, normal women during both the follicular and luteal phases of the ovarian cycle, and women during the third trimester of a normal pregnancy are candidates for steroid transport.
Abstract: This report describes a model of steroid transport in human plasma. The binding affinities of 21 endogenous steroids for both testosterone-binding globulin (TeBG) and corticosteroid-binding globulin (CBG) were determined under equilibrium conditions using a solid phase method at physiological pH and temperature. A computer program was used to solve the complex equilibrium interactions between these steroids and TeBG, CBG, and albumin. In this manner, we calculated the plasma distribution of each steroid into TeBG-bound, CBG-bound, albumin-bound, and unbound fractions in normal men, normal women during both the follicular and luteal phases of the ovarian cycle, and women during the third trimester of a normal pregnancy.
1,195 citations
TL;DR: Numerous methods are available for the graphical display of radioimmunoassay dose—response curves, for curve-fitting and dose interpolation, for statistical quality control, and for automation and computerization of data processing.
Abstract: Numerous methods are available for the graphical display of radioimmunoassay dose—response curves, for curve-fitting and dose interpolation, for statistical quality control, and for automation and computerization of data processing. The relative merits of these approaches are discussed. Minimal requirements for radioimmunoassay data-processing systems are presented. The features of an "ideal" system are discussed.
1,065 citations
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TL;DR: A discontinuous sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) system for the separation of proteins in the range from 1 to 100 kDa is described, and the omission of glycine and urea prevents disturbances which might occur in the course of subsequent amino acid sequencing.
11,290 citations
TL;DR: This approach provides two major advantages compared with other available methods: it uses an exact mathematical model of the ligand-binding system, thereby avoiding the possible biases introduced by several commonly used approximations and it uses a statistically valid, appropriately weighted least-squares curve-fitting algorithm with objective measurement of goodness of fit.
8,717 citations
TL;DR: In this article, an arachidonylethanthanolamide (anandamide) was identified in a screen for endogenous ligands for the cannabinoid receptor and its structure was determined by mass spectrometry and nuclear magnetic resonance spectroscopy and confirmed by synthesis.
Abstract: Arachidonylethanolamide, an arachidonic acid derivative in porcine brain, was identified in a screen for endogenous ligands for the cannabinoid receptor. The structure of this compound, which has been named "anandamide," was determined by mass spectrometry and nuclear magnetic resonance spectroscopy and was confirmed by synthesis. Anandamide inhibited the specific binding of a radiolabeled cannabinoid probe to synaptosomal membranes in a manner typical of competitive ligands and produced a concentration-dependent inhibition of the electrically evoked twitch response to the mouse vas deferens, a characteristic effect of psychotropic cannabinoids. These properties suggest that anandamide may function as a natural ligand for the cannabinoid receptor.
5,283 citations
TL;DR: Two novel neuropeptides are identified, both derived from the same precursor by proteolytic processing, that bind and activate two closely related (previously) orphan G protein-coupled receptors in the hypothalamus of rats.
5,162 citations
TL;DR: The median-effect principle and its mass-action law based computer software are gaining increased applications in biomedical sciences, from how to effectively evaluate a single compound or entity to how to beneficially use multiple drugs or modalities in combination therapies.
Abstract: The median-effect equation derived from the mass-action law principle at equilibrium-steady state via mathematical induction and deduction for different reaction sequences and mechanisms and different types of inhibition has been shown to be the unified theory for the Michaelis-Menten equation, Hill equation, Henderson-Hasselbalch equation, and Scatchard equation. It is shown that dose and effect are interchangeable via defined parameters. This general equation for the single drug effect has been extended to the multiple drug effect equation for n drugs. These equations provide the theoretical basis for the combination index (CI)-isobologram equation that allows quantitative determination of drug interactions, where CI 1 indicate synergism, additive effect, and antagonism, respectively. Based on these algorithms, computer software has been developed to allow automated simulation of synergism and antagonism at all dose or effect levels. It displays the dose-effect curve, median-effect plot, combination index plot, isobologram, dose-reduction index plot, and polygonogram for in vitro or in vivo studies. This theoretical development, experimental design, and computerized data analysis have facilitated dose-effect analysis for single drug evaluation or carcinogen and radiation risk assessment, as well as for drug or other entity combinations in a vast field of disciplines of biomedical sciences. In this review, selected examples of applications are given, and step-by-step examples of experimental designs and real data analysis are also illustrated. The merging of the mass-action law principle with mathematical induction-deduction has been proven to be a unique and effective scientific method for general theory development. The median-effect principle and its mass-action law based computer software are gaining increased applications in biomedical sciences, from how to effectively evaluate a single compound or entity to how to beneficially use multiple drugs or modalities in combination therapies.
4,270 citations