Free rectus flap repair of cutaneous Mycobacterium ulcerans ulcer with joint involvement.
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Biomedical subjects
Anand Ramakrishnan
Publications and source records attributed to Anand Ramakrishnan.
A fractal analysis of analyte-estrogen receptor binding and dissociation kinetics using biosensors: environmental and biomedical effects.
A fractal analysis is used to model the binding and dissociation kinetics between analytes in solution and estrogen receptors (ERs) immobilized on a sensor chip of a surface plasmon resonance (SPR) biosensor. The influence of different ligands is also analyzed. A better understanding of the kinetics provides physical insights into the interactions, and suggests means by which appropriate interactions (to promote correct signaling) and inappropriate interactions such as with xenoestrogens (to minimize inappropriate and deleterious to health signaling) may be better controlled. The fractal approach is applied to analyte-ER interaction data available in the literature. The units for the different parameters (rate coefficients and affinities) in fractal-type kinetics are different from those obtained in classical kinetics. Numerical values obtained for the binding and the dissociation rate coefficients are linked to the degree of roughness or heterogeneity (fractal dimension, D(f)) present on the biosensor chip surface. In general, the binding and the dissociation rate coefficients are very sensitive to the degree of heterogeneity on the surface. A single-fractal analysis is adequate in some cases. In others (that exhibit complexities in the binding or the dissociation curves) a dual-fractal analysis is required to obtain a better fit. This has biomedical and environmental implications in that the dissociation (and the binding) rate coefficient may be used to alleviate (deleterious effects) or enhance (beneficial effects) by selective modulation of the surface. The affinity values obtained in the analysis are consistent with the numbers required to (a). promote signaling between the correct analyte and the estrogen receptor, and (b). minimize the signaling between xenoestrogens and the estrogen receptor.
Biomedical Technology↗
Use of surface plasmon resonance biosensor technology as a possible alternative to detect differences in binding of enantiomeric drug compounds to immobilized albumins.
The use of biosensors for monitoring real time interactions between biomolecules and drug compounds has a lot of advantages over presently existing detection methods, the major ones being the elimination of radio labels and rapid screening. We can also obtain information about the kinetic parameters and these values may serve as useful indicators towards subtle differences in the binding strength and characteristics of closely related drug compounds and enantiomers. The Biacore 3000 biosensor based on the Surface Plasmon Resonance (SPR) technology was used to assess the albumin protein binding differences between two enantiomers of a drug compound. Normalized responses (NRU) and affinity constants (K(D)) were readily calculated. Statistical parameters like mean normalized responses, %CV values were determined to make the technique robust. The %CV values obtained were within the preset limits of < or = 25% (FDA limits for drug development and method validation protocols) for the binding interactions for majority of the concentrations studied. For example, the %CV values for the normalized responses for the binding of the control drug warfarin to human albumin ranged from 7.9 to 24.3%. The method gave reproducible results, and the results indicated slight differences in binding patterns of the enantiomers to human and rat albumin.
Animals↗
A mathematical analysis using fractals for binding interactions of nuclear estrogen receptors occurring on biosensor surfaces.
A mathematical approach using fractal concepts is presented for modeling the binding and dissociation interactions between analytes and nuclear estrogen receptors (ER) occurring on surface plasmon resonance biosensor chip surfaces. A kinetic knowledge of the binding interactions mediated by ER would help in better understanding the carcinogenicity of these steroidogenic compounds and assist in modulating these reactions. The fractal approach is applied to analyte-ER interaction data obtained from literature. Numerical values obtained for the binding and dissociation rate coefficients are linked to the degree of roughness or heterogeneity (fractal dimension, D(f)) present on the biosensor surface. For example, a single-fractal analysis is used to describe the binding and dissociation phases for the binding of estradiol and ERalpha in solution to clone 31 protein immobilized on a biosensor chip (C-S. Suen et al., 1998, J. Biol. Chem. 273(42), 27645-27653). The binding and the dissociation rate coefficients are 27.57 and 8.813, respectively, and the corresponding fractal dimensions are 1.986 and 2.268, respectively. In some examples dual-fractal models were employed to obtain a better fit of either the association or the dissociation phases or for both. Predictive relationships are developed for (a) the binding and the dissociation rate coefficients as a function of their respective fractal dimensions and (b) the ratio K(A) (= k/k(d)) as a function of the ratio of the fractal dimensions (D(f)/D(fd)). The analysis should provide further physical insights into the ER-mediated interactions occurring on biosensor and other surfaces.
Alitretinoin↗
Use of optical biosensor technology to study immunological cross-reactivity between different sulfonamide drugs.
Adverse reactions to medications account for a substantial number of hospitalizations and in some cases fatalities. The nature of the many drug-drug interactions caused by the inhibition of drug-metabolizing enzymes can now be predicted and examined with a greater deal of accuracy due to research developments in the understanding of the drug-metabolizing enzymes. However, the more troubling aspects of drug-drug interactions are the idiosyncratic reactions that are unpredictable and quite often life-threatening. These reactions are often caused by a prior sensitization of a person's immune system to a given drug or class of drugs. The following work offers a technique to examine in a medium-throughput system the cross-reactivity of drugs to antibodies in order to predict if structures share the same antigenic potential toward a sensitized individual. Two commercially important sulfonamide drugs, sulfamethazine and furosemide, were taken and their binding to their respective antibodies were tested in the presence of other structurally related sulfonamide drugs. The BIACORE 3000 biosensor was used for the study and the solution-phase equilibrium assay principle was employed. The data obtained help us determine which drugs can react, and to what extent, with sulfamethazine and furosemide, giving rise to possible allergic or hypersensitivity reactions. Though sulfamethazine and furosemide were used in this study; this principle and methodology can be applied to study any drug molecule-antibody pair.
Biosensing Techniques↗
A Fractal Analysis Approach for the Evaluation of Hybridization Kinetics in Biosensors.
The diffusion-limited hybridization kinetics of analyte in solution to a receptor immobilized on a biosensor or immunosensor surface is analyzed within a fractal framework. The data may be analyzed by a single- or a dual-fractal analysis. This was indicated by the regression analysis provided by Sigmaplot (Sigmaplot, Scientific Graphing Software, User's Manual, Jandel Scientific, CA, 1993). It is of interest to note that the binding rate coefficient and the fractal dimension both exhibit changes, in general, in the same direction for both the single-fractal and the dual-fractal analysis examples presented. The binding rate coefficient expression developed as a function of the analyte concentration in solution and the fractal dimension is of particular value since it provides a means to better control biosensor or immunosensor performance. Copyright 2001 Academic Press.
Journal Article↗
Mesenchymal stem cells.
It has become clear that adult mammalian bone marrow contains not one but two ostensibly discrete populations of adult stem cells. The first and by far the most fully characterized are the hematopoietic stem cells responsible for maintaining lifelong production of blood cells. The biological characteristics and properties of the second marrow resident population of stem cells, variously termed bone marrow stromal cells or mesenchymal stem cells, are in contrast much less well understood. In vitro, cultures established from single-cell suspensions of bone marrow from a wide range of mammalian species generate colonies of adherent marrow stromal cells, each derived from a single precursor cell termed a colony-forming unit-fibroblast (CFU-F). Culture conditions have been developed to expand marrow stromal cells in vitro while maintaining the capacity of these cells to differentiate into bone, fat, and cartilage. A significant portion of our current knowledge of this population of cells is based on analysis of the properties of these culture expanded cells, not on the primary colony-initiating cells. In this article, we will focus on methodologies to prospectively isolate stromal progenitors from mouse and human bone marrow and will review current data that suggest stromal progenitors in the bone marrow in situ are associated with the outer surfaces of blood vessels and may share identity with vascular pericytes.
Animals↗
A kinetic study of analyte-receptor binding and dissociation for biosensor applications: a fractal analysis for two different DNA systems.
A fractal analysis of DNA binding and dissociation kinetics on biosensor surfaces is presented. The fractal approach provides an attractive, convenient method to model the kinetic data taking into account the effects of surface heterogeneity brought about by ligand immobilization. The fractal technique can be used in conjunction or as an alternate approach to conventional modeling techniques, such as the Langmuir model, saturation model, etc. Examples analyzed include a DNA molecular beacon biosensor and a plasmid DNA-(cationic polymer) interaction biosensor. The molecular beacon example provides some insights into the nature of the surface and how it influences the binding rate coefficients. The DNA-cationic polymer interaction example provides some quantitative results on the binding and dissociation rate coefficients. Data taken from the literature may be modeled, in the case of binding, using a single-fractal analysis or a dual-fractal analysis. The dual-fractal analysis results indicate a change in the binding mechanism as the reaction progresses on the surface. A single-fractal analysis is adequate to model the dissociation kinetics in the example presented. Relationships are presented for the binding rate coefficients as a function of their corresponding fractal dimension, D(f), which is an indication of the degree of heterogeneity that exists on the surface. When analyte-receptor binding is involved, an increase in the heterogeneity of the surface (increase in D(f)) leads to an increase in the binding rate coefficient.
Biosensing Techniques↗