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PubMedDate not supplied

Antigen-antibody binding kinetics for biosensors: the fractal dimension and the binding rate coefficient.

The diffusion-limited binding kinetics of antigen (or antibody or substrate) in solution to antibody (or antigen or enzyme) immobilized on a biosensor surface is analyzed within a fractal framework. The change in the fractal dimension, Df, is in the same direction as that in the forward binding rate coefficient, k1. An increase or decrease in the fractal dimension, Df leads to an increase or decrease in the forward binding rate coefficient, k1, respectively, irrespective of whether the antigen or the antibody is immobilized on the biosensor surface. For example, an increase in the concentration of IgG (MRC OX-19) (antigen) in solution from 1 to 10 micrograms/mL bound to polyclonal sheep anti-mouse IgG (antibody) immobilized on immunomagnetic beads leads to decreases in Df from 1.93 to 0.517 and in k1 from 2.72 to 0.064, respectively. The different examples analyzed and presented together indicate one means by which the forward binding rate coefficient, k1, may be controlled, that is, by changing the fractal dimension or the disorder on the surface. The versatility of the analysis is indicated by applying it to different examples for both types of systems, wherein either the antigen or antibody is immobilized on the surface. The analysis should assist in improving the stability, sensitivity, and response time of biosensors.

Antigen-Antibody Reactions↗
PubMed2000

Insulin receptor binding kinetics: modeling and simulation studies.

Biological actions of insulin regulate glucose metabolism and other essential physiological functions. Binding of insulin to its cell surface receptor initiates signal transduction pathways that mediate cellular responses. Thus, it is of great interest to understand the mechanisms underlying insulin receptor binding kinetics. Interestingly, negative cooperative interactions are observed at high insulin concentrations while positive cooperativity may be present at low insulin concentrations. Clearly, insulin receptor binding kinetics cannot be simply explained by a classical bimolecular reaction. Mature insulin receptors have a dimeric structure capable of binding two molecules of insulin. The binding affinity of the receptor for the second insulin molecule is significantly lower than for the first bound insulin molecule. In addition, insulin receptor aggregation occurs in response to ligand binding and aggregation may also influence binding kinetics. In this study, we develop a mathematical model for insulin receptor binding kinetics that explicitly represents the divalent nature of the insulin receptor and incorporates receptor aggregation into the kinetic model. Model parameters are based upon published data where available. Computer simulations with our model are capable of reproducing both negative and positive cooperativity at the appropriate insulin concentrations. This model may be a useful tool for helping to understand the mechanisms underlying insulin receptor binding and the coupling of receptor binding to downstream signaling events.

Computer Simulation↗
PubMed2001

Use of a biosensor to determine the binding kinetics of five lectins for Galactosyl-N-acetylgalactosamine.

The dietary lectins, edible mushroom (ABL) and Jacalin (JAC) inhibit the proliferation of colonic cancer cells, whereas Amaranth (ACL) and peanut (PNA) stimulate their proliferation. All these lectins share as their preferred ligand the Thomsen-Friedenreich (TF) antigen galactosyl beta1,3 N-Acetylgalactosamine (Galbeta1,3GalNAc), but differ in their finer specificities for modifications of this determinant and in their specificities for cancerous epithelia. We have investigated, using a resonant mirror biosensor, the kinetics of binding of these lectins, and Maclura pomifera lectin (MPL), which is similar to JAC, to two different Gal-GalNac bearing glycoproteins, antarctic fish antifreeze glycoprotein (AFG) and asialofetuin. JAC had the highest affinity for AFG [K(d) 0.027 microM] due to a fast association rate constant [k(ass) 610,000 (Ms)(-1)]. The other lectins had considerably lower affinities, with K(d) ranging from 0.16 microM (ABL) to 5.7 microM (PNA), largely due to slower k(ass) [ABL 74,000 (Ms)(-1) to PNA 2700 (Ms)(-1)]. Similarly, JAC had a much higher affinity for asialofetuin [K(d) 0.083 microM] than the other lectins [K(d) 1.0 microM-4.5 microM]. Affinities were also calculated from the extent of binding at equlibrium and were generally similar to those calculated from the kinetic parameters indicating the true nature of these values.

Acetylgalactosamine↗
PubMedDate not supplied

Dual-fractal analysis for antigen--antibody binding kinetics for biosensor applications.

The diffusion-limited binding kinetics of antigen (or antibody) in solution to antibody (or antigen) immobilized on a biosensor and other surfaces is analyzed within a fractal framework. Often, the binding kinetics may be described by a single-fractal analysis. In some cases, the binding curve exhibits complexities. Then, for these cases, the dual-fractal analysis provides an improved fit when compared with a single-fractal analysis. This indicates a change in the reaction mechanism on the surface. It is of interest to note that the state of disorder (or the fractal dimension) and the binding rate coefficient both increase as the reaction progresses on the biosensor surface. For example, for the binding of 10 nM insulin growth factor-1 in solution to insulin growth factor binding protein-1 immobilized on a biosensor surface, a 64% increase in the fractal dimension from 1.73 (Df1) to 2.85 (Df2) leads to an increase in the binding rate coefficient by a factor of 31.8 from 3.92 (k1) to 125 (k2). Furthermore, as the IGF-1 concentration in solution increases from 10 to 80 nM in solution, k2 and Df2 exhibit a linear increase. k1 and Df1 exhibit a linear increase with the reciprocal of the IGF-1 concentration in solution. The different examples analyzed and presented together provide a means by which the antigen-antibody reactions may be better controlled by noting the magnitude of the changes in the fractal dimension and in the binding rate coefficient as the reaction progresses on the biosensor surface. Also, the magnitude of the changes in the binding rate coefficients (k1 and k2) and in the fractal dimensions (Df1 and Df2) as different parameters are changed for the different biosensor applications are of particular value, since they provide us with a measure or extent of changes in the binding rate coefficient on changing different experimental parameter values. It is of interest to note the effect of different parameters on the extent or heterogeneity that exists on the surface and how this influences the binding rate coefficients. This may be one method to help manipulate or control the binding rate coefficients on the reaction surface.

Antigen-Antibody Complex↗
PubMed2004

Alpha-1 adrenoceptors: evaluation of receptor subtype-binding kinetics in intact arterial tissues and comparison with membrane binding.

The binding kinetics of [3H]-prazosin were measured using intact segments of rat tail artery (RTA) and thoracic aorta (RAO), and the data were compared with those obtained using a conventional membrane ligand-binding method. In intact RTA and RAO segments, [3H]-prazosin bound reversibly in a time-dependent and receptor-specific manner at 4 degrees C to alpha-1 adrenoceptors (ARs) of the plasma membrane, with affinities (pKD): 9.5 in RTA; 9.9 in RAO) that were in agreement with values estimated by a conventional membrane ligand-binding method. However, nonspecific binding was considerably higher in RAO than RTA, failing to detect clearly the specific binding at high concentrations (>300 pm) of [3H]-prazosin in binding experiments with RAO segments and membranes. The abundance of receptor in the RTA and RAO (Bmax mg-1) of total tissue protein), estimated using the tissue segment-binding approach (527+/-14 fmol mg-1 for RTA; 138+/-4 fmol mg-1 for RAO), was about 25-fold higher than values estimated using a conventional membrane-binding method (22+/-5 fmol mg-1) for RTA; 5+/-1 fmol mg-1 for RAO). Binding competition experiments using intact tissue segments or membranes derived from RTA tissue yielded comparable data, indicating a coexistence of alpha-1A AR (high affinity for prazosin, KMD-3213 and WB4101 and low affinity for BMY 7378) and alpha-1B AR (high affinity for prazosin but low affinity for KMD-3213, WB4101 and BMY 7378). In RAO tissue, careful evaluation of the tissue segment-binding assay revealed the coexpression of alpha-1B AR (high affinity for prazosin, but low affinity for KMD-3213 and BMY 7378) and alpha-1D AR (high affinity for prazosin and BMY 7378, but low affinity for KMD-3213), whereas the membrane-binding approach failed to detect these receptor subtypes with certainty. The present study indicates that previous estimates of alpha-1 AR density and alpha-1 AR subtypes obtained by a conventional membrane-binding approach, as opposed to our improved tissue segment-binding assay, may have substantially underestimated the abundance of receptors present in arterial tissues, and may have failed to identify accurately the presence of receptor subtypes. Advantages and disadvantages of the tissue segment-binding approach are discussed.British Journal of Pharmacology (2004) 141, 468-476. doi:10.1038/sj.bjp.0705627

Adrenergic alpha-1 Receptor Antagonists↗
PubMed1982

Glucocorticoid-receptor interactions. Discrimination between glucocorticoid agonists and antagonists by means of receptor-binding kinetics.

The kinetics of binding to the molybdate-stabilized glucocorticoid receptor of rat thymus cytosol were determined at 0 degrees C for a number of glucocorticoid agonists and antagonists. Equilibrium constants derived from the rate constants for association and dissociation were in good agreement with those determined directly or by competition under equilibrium conditions. Kinetics parameters for the slowly dissociating form of binding detected by a non-equilibrium dextran/charcoal competitive binding assay reflected the nature and extent of functional-group substitution on the steroid nucleus, but bore no relation to the classification of steroids as glucocorticoid agonists or antagonists. It is concluded that the binding of antagonists that is detected by such methods is agonist-like binding, which is not relevant to their antiglucocorticoid actions. Both agonists and antagonists displayed Michaelis--Menten association kinetics, but this behaviour was much more pronounced for antagonists. This is attributed to the existence of a second form of steroid-receptor complex, which escapes detection by the usual assay methods as a result of a high rate of dissociation and which is quantitatively antagonist-specific under equilibrium conditions. Direct evidence for the existence of two forms of antagonist-receptor complex was provided by results showing that the dissociation of the glucocorticoid antagonist progesterone from the receptor was biphasic.

Animals↗
PubMed1984

A method for determining binding kinetics applied to thiamine-binding protein.

A rapid and simple method for assaying the binding activity of thiamine-binding protein is described. By this assay method, the binding characteristics of rice bran thiamine-binding protein have been evaluated with [14C]thiamine as ligand. Analysis of these data by Scatchard plot resulted in linear plots giving a dissociation constant (Kd) for thiamine of 0.55 microM and a maximum binding (Bmax) of 14.5 pmol of ligand bound/microgram of protein. Thiamine binding to the binding protein was time dependent and reached equilibrium at approximately 20 min. The Kob was 0.18 min-1 and the k1 was 1.25 X 10(5) min-1 M-1. Reversibility of thiamine binding at equilibrium was completed at 60 min with a k2 value of 0.052 min-1. The Kd calculated from the reverse rate constant was 0.42 microM. These results indicated that this binding assay method was substantially reliable and accurate.

Carrier Proteins↗
PubMed2006

Spectroscopic analyses of the binding kinetics of 15d-PGJ2 to the PPARgamma ligand-binding domain by multi-wavelength global fitting.

PPARgamma (peroxisome proliferator-activated receptor gamma) is a nuclear receptor that is activated by natural lipid metabolites, including 15d-PGJ2 (15-deoxy-Delta(12,14)-prostaglandin J2). We previously reported that several oxidized lipid metabolites covalently bind to PPARgamma through a Michael-addition to activate transcription. To separate the ligand-entering (dock) and covalent-binding (lock) steps in PPARgamma activation, we investigated the binding kinetics of 15d-PGJ2 to the PPARgamma LBD (ligand-binding domain) by stopped-flow spectroscopy. We analysed the spectral changes of 15d-PGJ2 by multi-wavelength global fitting based on a two-step chemical reaction model, in which an intermediate state represents the 15d-PGJ2-PPARgamma complex without covalent binding. The extracted spectrum of the intermediate state in wild-type PPARgamma was quite similar to the observed spectrum of 15d-PGJ2 in the C285S mutant, which cannot be activated by 15d-PGJ2, indicating that the complex remains in the inactive, intermediate state in the mutant. Thus 'lock' rather than 'dock' is one of the critical steps in PPARgamma activation by 15d-PGJ2.

Animals↗
PubMed1997

Heterogeneity of epidermal growth factor binding kinetics on individual cells.

Binding of fluorescein-conjugated epidermal growth factor (EGF) to individual A431 cells at 4 degrees C is measured by a quantitative fluorescence imaging technique. After background fluorescence and cell autofluorescence photobleaching corrections, the kinetic data are fit to simple models of one monovalent site and two independent monovalent sites, both of which include a first-order dye photobleaching process. Model simulations and the results from data analysis indicate that the one-monovalent-site model does not describe EGF binding kinetics at the single-cell level, whereas the two-site model is consistent with, but not proved by, the single-cell binding data. In addition, the kinetics of binding of fluorescein-EGF to different cells from the same coverslip often differ significantly from each other, indicating cell-to-cell variations in the binding properties of the EGF receptor.

Binding Sites↗
PubMed1995

CO binding kinetics of human cytochrome P450 3A4. Specific interaction of substrates with kinetically distinguishable conformers.

The kinetics of CO binding to human cytochrome P450 3A4 was examined by the flash photolysis technique, employing the membrane-bound P450 expressed in baculovirus-infected SF9 insect cells. Triexponential kinetics was observed, indicating that P450 3A4 is composed of multiple, kinetically distinguishable conformers. To define the substrate specificity of individual P450 3A4 conformers we evaluated the effect of a series of substrates of varying sizes and structures on the CO binding kinetics. The rate of CO binding to the total mixture of P450 3A4 conformers was increased in the presence of nifedipine and erythromycin, decreased by quinidine, testosterone, and warfarin, and unaffected by cimetidine and 17 alpha-ethynylestradiol. A recently developed kinetic difference method (Koley, A. P., Robinson, R. C., Markowitz, A., and Friedman, F. K. (1994) Biochemistry 33, 2484-2489) was used to define the kinetic parameters of individual P450 3A4 conformers. The results showed that different conformers have distinct substrate specificities. The substrates had markedly variable effects on the CO binding kinetics of their target P450 3A4 conformers and thus differentially modulate their conformations. These results demonstrate that the interaction of a particular substrate with a specific P450 3A4 conformer can be assessed in the presence of multiple conformers.

Animals↗
PubMed1999

Analysis of analyte-receptor binding kinetics for biosensor applications: an overview of the influence of the fractal dimension on the surface on the binding rate coefficient.

An overview of fractal analysis is presented for analyte-receptor binding kinetics for different types of biosensor application. Data taken from the literature can be modelled by using (1) a single-fractal analysis, (2) a single- and a dual-fractal analysis, and (3) a dual-fractal analysis. Cases (2) and (3) represent a change in the binding mechanism as the reaction progresses on the surface. Predictive relationships developed for the binding rate coefficient as a function of the analyte concentration are of particular value because they provide a means by which the binding rate coefficients can be manipulated. Relationships are presented for the binding rate coefficients as a function of the fractal dimension, Df, or the degree of heterogeneity that exists on the surface. The binding rate coefficient is rather sensitive to the degree of heterogeneity, Df, that exists on the biosensor surface. For the examples analysed, the order of dependence of the binding rate coefficient on Df ranges from 1.4770 (k1), for the binding of intercalators and metabolites in solution to DNA immobilized at a positively charged surface, to 4.9434 for the binding of 5 nM nucleotide+GroEL in solution to GroES immobilized on a Ni2+-nitriloacetic acid sensor chip [Nieba, Nieba-Axmann, Persson, Hamalainen, Edebratt, Hansson, Lidholm, Magnusson, Karlsson and Pluckhun (1997) Anal. Biochem. 252, 217-228]. GroEl and GroES are two proteins (chaperones) which facilitate protein folding in the cell in an ATP-dependent manner [Hemmingson, Woolford, van der Vies, Tilly, Dennis, Georgopoulos, Henfrix and Ellis (1988) Nature (London) 333, 330-334]. The overview provides an overall analysis of the reaction parameters of importance observed and how they are influenced in antigen-antibody-binding kinetics for different biosensor applications. The predictive relationships presented provide further physical insights into the binding reactions on the surface, and should assist in enhancing biosensor performance. In general, the technique and the overview presented are applicable for the most part to other reactions occurring on different types of surface, for example cell-surface reactions.

Antigen-Antibody Reactions↗
PubMedDate not supplied

Binding kinetics and bioassay of RRE mRNA fragments to a peptide containing the recognition domain of HIV-1 Rev.

Surface plasmon resonance techniques have been used to examine the kinetics of binding for two RNA fragments to an RNA binding domain of HIV-1 REv. RBE3 RNA elicited an apparent dissociation constant (KD) of 121 nM while RREIIB41-79 RNA exhibited an apparent dissociation constant (KD) of 2.5 nM. The dissociation rates for both RNA fragments were comparable. However, the shorter sequence, RBE3, exhibited considerably slower association kinetics. A series of known inhibitors were assayed against these RNA' and the derived K1's were consistent with those reported in the literature, validating the method for routine inhibitor assays.

Amino Acid Sequence↗
PubMed2003

Combined affinity and rate constant distributions of ligand populations from experimental surface binding kinetics and equilibria.

The present article considers the influence of heterogeneity in a mobile analyte or in an immobilized ligand population on the surface binding kinetics and equilibrium isotherms. We describe strategies for solving the inverse problem of calculating two-dimensional distributions of rate and affinity constants from experimental data on surface binding kinetics, such as obtained from optical biosensors. Although the characterization of a heterogeneous population of analytes binding to uniform surface sites may be possible under suitable experimental conditions, computational difficulties currently limit this approach. In contrast, the case of uniform analytes binding to heterogeneous populations of surface sites is computationally feasible, and can be combined with Tikhonov-Phillips and maximum entropy regularization techniques that provide the simplest distribution that is consistent with the data. The properties of this ligand distribution analysis are explored with several experimental and simulated data sets. The resulting two-dimensional rate and affinity constant distributions can describe well experimental kinetic traces measured with optical biosensors. The use of kinetic surface binding data can give significantly higher resolution than affinity distributions from the binding isotherms alone. The shape and the level of detail of the calculated distributions depend on the experimental conditions, such as contact times and the concentration range of the analyte. Despite the flexibility introduced by considering surface site distributions, the impostor application of this model to surface binding data from transport limited binding processes or from analyte distributions can be identified by large residuals, if a sufficient range of analyte concentrations and contact times are used. The distribution analysis can provide a rational interpretation of complex experimental surface binding kinetics, and provides an analytical tool for probing the homogeneity of the populations of immobilized protein.

Algorithms↗
PubMed2000

Binding kinetics of triclosan (Irgasan) to alloplastic vascular grafts: an in vitro study.

The aim of this study was to investigate the binding kinetics of triclosan (Irgasan) to alloplastic vascular grafts and to examine its antimicrobial activity against various microbial pathogens in vitro. Vascular grafts made by Intergard (Intervascular), Fluoropassiv (Vascutek), and Gore-tex (Gore) were examined. Grafts were incubated in 10 g/L triclosan (Irgasan), dried, sterilized, and incubated in RPMI medium. One-centimeter segments of the grafts were resected under sterile conditions at intervals of minutes, then hours, followed by days and up to 4 weeks. Samples were stored frozen at -20 degrees C for the measurement of triclosan bound to the vascular graft by high-performance liquid chromatography (HPLC). The binding kinetics under perfusion conditions were determined for Intergard grafts, which were perfused with 50 mL of nutrient medium for 24 hr. Samples were taken at various time intervals for the measurement of triclosan. The antimicrobial activity of triclosan against Staphylococcus aureus, Pseudomonas aeruginosa, and Candida albicans as well as Enterococcus faecium was determined. Triclosan effectively binds to vascular graft without the use of intermediate binding substances. It stayed on the graft for the duration of 4 weeks. Under both static and perfusion conditions, the binding kinetics are similar. Triclosan binds most effectively to Intergard grafts, less so to Fluoropassiv grafts, and not at all to Gore-tex material. Antimicrobial activity of triclosan is very effective against S. aureus and E. faecium but not against P. aeruginosa.

Anti-Infective Agents, Local↗
PubMed1985

Rapid method for quantitation of androgen binding protein in Sertoli cell cultures and its use for measurement of binding kinetics.

The accurate measurement of the kinetics of binding of 5 alpha-dihydrotestosterone to the Sertoli cell specific protein, androgen binding protein (ABP), has been frustrated by the extremely rapid rate of dissociation of the ABP-dihydrotestosterone complex. We describe a rapid and highly sensitive assay suitable for ABP quantitation which utilizes DEAE Bio-Gel and [3H]dihydrotestosterone. The assay has been used to accurately measure the rate of dissociation (8.25 X 10(-4) s-1, t1/2 14 min) and the rate of association (2.04 X 10(5) M s-1) of the binding of [3H]dihydrotestosterone to rat ABP. The ratio of these rate constants is in perfect agreement with the equilibrium dissociation constant determined by Scatchard analysis (4.0 nM). This multipoint assay is extremely rapid such that binding can be measured at equilibrium, it has high precision (coefficient of variation 3%), and is particularly useful at low protein concentrations (50 ng/ml); furthermore, the assay background of nonspecific 3H-binding is extremely low (0.2%). Since at such low protein concentrations a 10 point Scatchard analysis can be performed on 1 ml culture medium containing as little as 3 fmol ABP, the assay is suitable for monitoring changes in ABP secretion resulting from manipulations of cells in culture. The assay which utilizes DEAE Bio-Gel A is compared to five alternative methods: the standard method of steady state gel electrophoresis, Dextran-coated charcoal assay, hydroxylapatite assay, DEAE filter assay, and radioimmunoassay. The DEAE Bio-Gel assay has advantages over all of these alternative methods. In summary, this new assay is particularly useful for monitoring temporal changes in the secretion of ABP, and the method is equally effective in quantitating ABP in rat, rabbit and hamster Sertoli cell cultures.

Adsorption↗
PubMed2000

Effects of zinc on spatial reference memory and brain dopamine (D1) receptor binding kinetics in rats.

1. The present study was designed to evaluate the effects of zinc on spatial reference memory and brain dopamine (D1) receptor binding kinetics in rats. Male Sprague-Dawley rats (120-150 g), adapted 12 hour light: 12 hour dark illumination cycle were used. Treated animals were given zinc chloride (25 mg/kg, 50 mg/kg, or 100 mg/kg) by oral gavage for 15 days at 11:00 hr. Controlrats received an equivalent volume of saline. 2. Spatial reference memory was evaluated in treated and control rats on days 10 through 15 using the Morris Water Maze. The time to find the platform (latency) was significantly increased in the 50 mg/kg and 100-mg/kg zinc treated animals as compared to the controls. One hour after the last spatial reference memory testing, the animals were sacrificed by decapitation; their brains were removed and dissected into various regions. 3. D1 receptor binding kinetics were measured using the ligand [3H] SCH23390. Results obtained indicate that zinc chloride administration resulted in a statistically significant decline in the binding affinity (increased Kd) of the D1 receptors in the frontal cortex, hypothalamus, hippocampus, and midbrain. However, there was a significant increase in the D1 receptor binding capacity (Bmax) in these same brain regions following zinc chloride administration. 4. These findings clearly indicate that administration of high doses of zinc to rats resulted in spatial reference memory deficit, which may in part be explained by alterations in dopamine receptor binding kinetics.

Animals↗
PubMed1998

An analysis of analyte-receptor binding kinetics for biosensor applications: influence of the fractal dimension on the binding rate coefficient.

The diffusion-limited binding kinetics of analyte in solution to receptor immobilized on a biosensor surface is analysed within a fractal framework. Both a single- as well as a dual-fractal analysis are utilized. Antigen-antibody and analyte-receptor systems are analysed. For the antigen-antibody and analyte-receptor systems where a single- or a dual-fractal analysis was used, it is of interest to note that the binding rate coefficient and the fractal dimension exhibit changes in the same direction. The binding rate coefficient expressions obtained as a function of the fractal dimension indicate the high sensitivity of the binding rate coefficient with respect to the fractal dimension. For example, for a single-fractal analysis and for the binding of (a) 1 microM BSA in solution to the anti-BSA-protein fused to a biosensor surface, and for (b) the binding of m-xylene-saturated STE buffer solution to the microorganism immobilized to the fiber-optic end and covered with a polycarbonate membrane, the orders of dependence of the binding rate coefficient on the fractal dimension were 5.535 and 3.314, respectively. This emphasizes the importance of the degree of heterogeneity on the biosensor surface and its impact on the binding rate coefficient, k. This high sensitivity is also indicated for a dual-fractal analysis, at least for the binding rate coefficient, k2. For example, during regeneration runs and for the binding of polymerase chain-reaction amplified DNA in solution to DNA capture protein immobilized on a fiber-optic biosensor, the order of dependence of k2 on Df2 was 3.399. The fractional order of dependence of the binding rate coefficient(s) on the fractal dimension(s) further reinforces the fractal nature of the system. The binding rate coefficient expressions developed as a function of the fractal dimension for both single-fractal analysis and dual-fractal analysis systems are of particular value since they provide a means to better control biosensor performance by linking it to the heterogeneity on the surface. Also, the importance of the nature of the surface on biosensor performance is emphasized in a quantitative sense.

Antigen-Antibody Reactions↗
PubMed1999

Temperature effect on serum protein binding kinetics of phenytoin in monotherapy patients with epilepsy.

The effects of temperature on the binding kinetics of phenytoin (PHT) to serum proteins were determined in patients with epilepsy. Serum samples examined in the study were obtained from 59 patients (31 male, 28 female) with epilepsy on PHT monotherapy. Their age ranged from 3 to 64 years (mean (SD), 23.3 (16.3) years). Protein binding of PHT was evaluated by ultrafiltration under current routine laboratory conditions (25 +/- 3 degrees C) or at a temperature of 37 degrees C. The in vivo binding parameters of PHT to serum proteins were determined using a binding equation derived from the Scatchard equation for a one-site binding model. Significant differences were observed in serum concentrations of unbound PHT between paired data (P < 0.05). The mean association constant (K) of PHT to serum proteins is 0.011 microM-1 at 25 +/- 3 degrees C and 0.006 microM-1 at 37 degrees C, while mean total concentration of binding sites (n(Pt)) is 1002 microM for 25 +/- 3 degrees C and 1112 microM for 37 degrees C. Significant differences were observed in the binding kinetics of PHT to serum proteins for the different temperature conditions of ultrafiltration (P < 0.05). Our study confirms that binding affinity for PHT-serum protein interaction is approximately 45% lower at 37 degrees C than at 25 +/- 3 degrees C and consequently, binding potential (K.n(Pt)) is approximately 39% lower at 37 degrees C than at 25 +/- 3 degrees C.

Adolescent↗