Rate Constants For Phosphorylation Research Articles

Inference of Multisite Phosphorylation Rate Constants and Their Modulation by Pathogenic Mutations.

Multisite protein phosphorylation plays a critical role in cell regulation [1-3]. It is widely appreciated that the functional capabilities of multisite phosphorylation depend on the order and kinetics of phosphorylation steps, but kinetic aspects of multisite phosphorylation remain poorly understood [4-6]. Here, we focus on what appears to be the simplest scenario, when a protein is phosphorylated on only two sites in a strict, well-defined order. This scenario describes the activation of ERK, a highly conserved cell-signaling enzyme. We use Bayesian parameter inference in a structurally identifiable kinetic model to dissect dual phosphorylation of ERK by MEK, a kinase that is mutated in a large number of human diseases [7-12]. Our results reveal how enzyme processivity and efficiencies of individual phosphorylation steps are altered by pathogenic mutations. The presented approach, which connects specific mutations to kinetic parameters of multisite phosphorylation mechanisms, provides a systematic framework for closing the gap between studies with purified enzymes and their effects in the living organism.

Cholesterol depletion inhibits Na+,K+-ATPase activity in a near-native membrane environment

Cholesterol's effects on Na+,K+-ATPase reconstituted in phospholipid vesicles have been extensively studied. However, previous studies have reported both cholesterol-mediated stimulation and inhibition of Na+,K+-ATPase activity. Here, using partial reaction kinetics determined via stopped-flow experiments, we studied cholesterol's effect on Na+,K+-ATPase in a near-native environment in which purified membrane fragments were depleted of cholesterol with methyl-β-cyclodextrin (mβCD). The mβCD-treated Na+,K+-ATPase had significantly reduced overall activity and exhibited decreased observed rate constants for ATP phosphorylation (ENa3+ → E2P, i.e. phosphorylation by ATP and Na+ occlusion from the cytoplasm) and K+ deocclusion with subsequent intracellular Na+ binding (E2K2+ → E1Na3+). However, cholesterol depletion did not affect the observed rate constant for K+ occlusion by phosphorylated Na+,K+-ATPase on the extracellular face and subsequent dephosphorylation (E2P → E2K2+). Thus, partial reactions involving cation binding and release at the protein's intracellular side were most dependent on cholesterol. Fluorescence measurements with the probe eosin indicated that cholesterol depletion stabilizes the unphosphorylated E2 state relative to E1, and the cholesterol depletion-induced slowing of ATP phosphorylation kinetics was consistent with partial conversion of Na+,K+-ATPase into the E2 state, requiring a slow E2 → E1 transition before the phosphorylation. Molecular dynamics simulations of Na+,K+-ATPase in membranes with 40 mol % cholesterol revealed cholesterol interaction sites that differ markedly among protein conformations. They further indicated state-dependent effects on membrane shape, with the E2 state being likely disfavored in cholesterol-rich bilayers relative to the E1P state because of a greater hydrophobic mismatch. In summary, cholesterol extraction from membranes significantly decreases Na+,K+-ATPase steady-state activity.

A Computational Model of Hepatic Energy Metabolism: Understanding Zonated Damage and Steatosis in NAFLD.

In non-alcoholic fatty liver disease (NAFLD), lipid build-up and the resulting damage is known to occur more severely in pericentral cells. Due to the complexity of studying individual regions of the sinusoid, the causes of this zone specificity and its implications on treatment are largely ignored. In this study, a computational model of liver glucose and lipid metabolism is presented which treats the sinusoid as the repeating unit of the liver rather than the single hepatocyte. This allows for inclusion of zonated enzyme expression by splitting the sinusoid into periportal to pericentral compartments. By simulating insulin resistance (IR) and high intake diets leading to the development of steatosis in the model, we identify key differences between periportal and pericentral cells accounting for higher susceptibility to pericentral steatosis. Secondly, variation between individuals is seen in both susceptibility to steatosis and in its development across the sinusoid. Around 25% of obese individuals do not show excess liver fat, whilst 16% of lean individuals develop NAFLD. Furthermore, whilst pericentral cells tend to show higher lipid levels, variation is seen in the predominant location of steatosis from pericentral to pan-sinusoidal or azonal. Sensitivity analysis was used to identify the processes which have the largest effect on both total hepatic triglyceride levels and on the sinusoidal location of steatosis. As is seen in vivo, steatosis occurs when simulating IR in the model, predominantly due to increased uptake, along with an increase in de novo lipogenesis. Additionally, concentrations of glucose intermediates including glycerol-3-phosphate increased when simulating IR due to inhibited glycogen synthesis. Several differences between zones contributed to a higher susceptibility to steatosis in pericentral cells in the model simulations. Firstly, the periportal zonation of both glycogen synthase and the oxidative phosphorylation enzymes meant that the build-up of glucose intermediates was less severe in the periportal hepatocyte compartments. Secondly, the periportal zonation of the enzymes mediating β-oxidation and oxidative phosphorylation resulted in excess fats being metabolised more rapidly in the periportal hepatocyte compartments. Finally, the pericentral expression of de novo lipogenesis contributed to pericentral steatosis when additionally simulating the increase in sterol-regulatory element binding protein 1c (SREBP-1c) seen in NAFLD patients in vivo. The hepatic triglyceride concentration was predicted to be most sensitive to inter-individual variation in the activity of enzymes which, either directly or indirectly, determine the rate of free fatty acid (FFA) oxidation. The concentration was most strongly dependent on the rate constants for β-oxidation and oxidative phosphorylation. It also showed moderate sensitivity to the rate constants for processes which alter the allosteric inhibition of β-oxidation by acetyl-CoA. The predominant sinusoidal location of steatosis meanwhile was most sensitive variations in the zonation of proteins mediating FFA uptake or triglyceride release as very low density lipoproteins (VLDL). Neither the total hepatic concentration nor the location of steatosis showed strong sensitivity to variations in the lipogenic rate constants.

Analysis of substrate competition in regulatory network motifs: Stimulus–response curves, thresholds and ultrasensitivity

In the simplest case, substrate competition arises if two ligands compete for access to a single binding site of a receptor protein (or enzyme). If the two ligands exhibit different binding affinities the competition becomes biased: as long as the receptor concentration remains lower than that of the high-affinity ligand the latter blocks all of the available binding sites so that the concentration of the complex comprising the low-affinity ligand remains low. The latter only rises if the receptor concentration is increased beyond that of the high-affinity ligand. Depending on the binding affinity of the low-affinity ligand this increase may then occur in an ultrasensitive manner. Similar behavior has been observed in a phosphorylation/dephosphorylation cycle involved in cell-cycle regulation. However, a steady state analysis shows that in this case the threshold concentration is modulated by the catalytic rate constants for phosphorylation and dephosphorylation of the high-affinity substrate. As a consequence, there exists a trade-off between the dynamic range of the system as measured by the maximal phosphorylation level of the substrate and the sensitivity of the system as measured by the position of the threshold. Using the ratio of the binding affinities as a small parameter we derive explicit expressions for the stimulus–response curves as a function of the receptor (or enzyme) concentration as well as conditions for the occurrence of ultrasensitivity. Interestingly, the network motifs investigated in this study are described by structurally similar steady state equations indicating that the analysis presented here may be extendable for analyzing substrate competition in more complex regulatory networks.

Stable Isotope Labeling of Phosphoproteins for Large-scale Phosphorylation Rate Determination

Signals that control responses to stimuli and cellular function are transmitted through the dynamic phosphorylation of thousands of proteins by protein kinases. Many techniques have been developed to study phosphorylation dynamics, including several mass spectrometry (MS)-based methods. Over the past few decades, substantial developments have been made in MS techniques for the large-scale identification of proteins and their post-translational modifications. Nevertheless, all of the current MS-based techniques for quantifying protein phosphorylation dynamics rely on the measurement of changes in peptide abundance levels, and many methods suffer from low confidence in phosphopeptide identification due to poor fragmentation. Here we have optimized an approach for the stable isotope labeling of amino acids by phosphate using [γ-¹⁸O₄]ATP in nucleo to determine global site-specific phosphorylation rates. The advantages of this metabolic labeling technique are increased confidence in phosphorylated peptide identification, direct labeling of phosphorylation sites, measurement phosphorylation rates, and the identification of actively phosphorylated sites in a cell-like environment. In this study we calculated approximate rate constants for over 1,000 phosphorylation sites based on labeling progress curves. We measured a wide range of phosphorylation rate constants from 0.34 min⁻¹ to 0.001 min⁻¹. Finally, we applied stable isotope labeling of amino acids by phosphate to identify sites that have different phosphorylation kinetics during G1/S and M phase. We found that most sites had very similar phosphorylation rates under both conditions; however, a small subset of sites on proteins involved in the mitotic spindle were more actively phosphorylated during M phase, whereas proteins involved in DNA replication and transcription were more actively phosphorylated during G1/S phase. The data have been deposited to the ProteomeXchange with the identifier PXD000680.

Phosphorelays Provide Tunable Signal Processing Capabilities for the Cell

Achieving a complete understanding of cellular signal transduction requires deciphering the relation between structural and biochemical features of a signaling system and the shape of the signal-response relationship it embeds. Using explicit analytical expressions and numerical simulations, we present here this relation for four-layered phosphorelays, which are signaling systems that are ubiquitous in prokaryotes and also found in lower eukaryotes and plants. We derive an analytical expression that relates the shape of the signal-response relationship in a relay to the kinetic rates of forward, reverse phosphorylation and hydrolysis reactions. This reveals a set of mathematical conditions which, when satisfied, dictate the shape of the signal-response relationship. We find that a specific topology also observed in nature can satisfy these conditions in such a way to allow plasticity among hyperbolic and sigmoidal signal-response relationships. Particularly, the shape of the signal-response relationship of this relay topology can be tuned by altering kinetic rates and total protein levels at different parts of the relay. These findings provide an important step towards predicting response dynamics of phosphorelays, and the nature of subsequent physiological responses that they mediate, solely from topological features and few composite measurements; measuring the ratio of reverse and forward phosphorylation rate constants could be sufficient to determine the shape of the signal-response relationship the relay exhibits. Furthermore, they highlight the potential ways in which selective pressures on signal processing could have played a role in the evolution of the observed structural and biochemical characteristic in phosphorelays.

Brain Glucose Transport and Phosphorylation Under Acute Insulin-Induced Hypoglycemia in Mice: An 18F-FDG PET Study

We addressed the questions of how cerebral glucose transport and phosphorylation change under acute hypoglycemia and what the underlying mechanisms of adaptation are. Quantitative (18)F-FDG PET combined with the acquisition of real-time arterial input function was performed on mice. Hypoglycemia was induced and maintained by insulin infusion. PET data were analyzed with the 2-tissue-compartment model for (18)F-FDG, and the results were evaluated with Michaelis-Menten saturation kinetics. Glucose clearance from plasma to brain (K1,glc) and the phosphorylation rate constant increased with decreasing plasma glucose (Gp), in particular at a Gp of less than 2.5 mmol/L. Estimated cerebral glucose extraction ratios taking into account an increased cerebral blood flow (CBF) at a Gp of less than 2 mmol/L were between 0.14 and 0.79. CBF-normalized K1,glc values were in agreement with saturation kinetics. Phosphorylation rate constants indicated intracellular glucose depletion at a Gp of less than 2-3 mmol/L. When brain regions were compared, glucose transport under hypoglycemia was lowest in the hypothalamus. Alterations in glucose transport and phosphorylation, as well as intracellular glucose depletion, under acute hypoglycemia can be modeled by saturation kinetics taking into account an increase in CBF. Distinct transport kinetics in the hypothalamus may be involved in its glucose-sensing function.

18F-FLT Uptake Kinetics in Head and Neck Squamous Cell Carcinoma: A PET Imaging Study

Purpose: To analyze the kinetics of 3′-deoxy-3′-[F-18]-fluorothymidine (18F-FLT) uptake by head and neck squamous cell carcinomas and involved nodes imaged using positron emission tomography (PET). Methods: Two- and three-tissue compartment models were fitted to 12 tumor time-activity-curves (TACs) obtained for 6 structures (tumors or involved nodes) imaged in ten dynamic PET studies of 1 h duration, carried out for five patients. The ability of the models to describe the data was assessed using a runs test, the Akaike information criterion (AIC) and leave-one-out cross-validation. To generate parametric maps the models were also fitted to TACs of individual voxels. Correlations between maps of different parameters were characterized using Pearson'sr coefficient; in particular the phosphorylation rate-constants k 3-2tiss and k 5 of the two- and three-tissue models were studied alongside the flux parameters K FLT- 2tiss and K FLT of these models, and standardized uptake values (SUV). A methodology based on expectation-maximization clustering and the Bayesian information criterion (“EM-BIC clustering”) was used to distil the information from noisy parametric images. Results: Fits of two-tissue models 2C3K and 2C4K and three-tissue models 3C5K and 3C6K comprising three, four, five, and six rate-constants, respectively, pass the runs test for 4, 8, 10, and 11 of 12 tumor TACs. The three-tissue models have lower AIC and cross-validation scores for nine of the 12 tumors. Overall the 3C6K model has the lowest AIC and cross-validation scores and its fitted parameter values are of the same orders of magnitude as literature estimates. Maps ofK FLT and K FLT- 2tiss are strongly correlated (r = 0.85) and also correlate closely with SUV maps (r = 0.72 for K FLT- 2tiss , 0.64 for K FLT ). Phosphorylation rate-constant maps are moderately correlated with flux maps (r = 0.48 for k 3-2tiss vs K FLT- 2tiss and r = 0.68 for k 5 vs K FLT ); however, neither phosphorylation rate-constant correlates significantly with SUV. EM-BIC clustering reduces the parametric maps to a small number of levels—on average 5.8, 3.5, 3.4, and 1.4 for K FLT- 2tiss , K FLT , k 3-2tiss , and k 5. This large simplification is potentially useful for radiotherapy dose-painting, but demonstrates the high noise in some maps. Statistical simulations show that voxel level noise degrades TACs generated from the 3C6K model sufficiently that the average AIC score, parameter bias, and total uncertainty of 2C4K model fits are similar to those of 3C6K fits, whereas at the whole tumor level the scores are lower for 3C6K fits. Conclusions: For the patients studied here, whole tumor FLT uptake time-courses are represented better overall by a three-tissue than by a two-tissue model. EM-BIC clustering simplifies noisy parametric maps, providing the best description of the underlying information they contain and is potentially useful for radiotherapy dose-painting. However, the clustering highlights the large degree of noise present in maps of the phosphorylation rate-constantsk 5 and k 3-2tiss , which are conceptually tightly linked to cellular proliferation. Methods must be found to make these maps more robust—either by constraining other model parameters or modifying dynamic imaging protocols.

FDG kinetic modeling in small rodent brain PET: optimization of data acquisition and analysis

BackgroundKinetic modeling of brain glucose metabolism in small rodents from positron emission tomography (PET) data using 2-deoxy-2-[18 F]fluoro-d-glucose (FDG) has been highly inconsistent, due to different modeling parameter settings and underestimation of the impact of methodological flaws in experimentation. This article aims to contribute toward improved experimental standards. As solutions for arterial input function (IF) acquisition of satisfactory quality are becoming available for small rodents, reliable two-tissue compartment modeling and the determination of transport and phosphorylation rate constants of FDG in rodent brain are within reach.MethodsData from mouse brain FDG PET with IFs determined with a coincidence counter on an arterio-venous shunt were analyzed with the two-tissue compartment model. We assessed the influence of several factors on the modeling results: the value for the fractional blood volume in tissue, precision of timing and calibration, smoothing of data, correction for blood cell uptake of FDG, and protocol for FDG administration. Kinetic modeling with experimental and simulated data was performed under systematic variation of these parameters.ResultsBlood volume fitting was unreliable and affected the estimation of rate constants. Even small sample timing errors of a few seconds lead to significant deviations of the fit parameters. Data smoothing did not increase model fit precision. Accurate correction for the kinetics of blood cell uptake of FDG rather than constant scaling of the blood time-activity curve is mandatory for kinetic modeling. FDG infusion over 4 to 5 min instead of bolus injection revealed well-defined experimental input functions and allowed for longer blood sampling intervals at similar fit precisions in simulations.ConclusionsFDG infusion over a few minutes instead of bolus injection allows for longer blood sampling intervals in kinetic modeling with the two-tissue compartment model at a similar precision of fit parameters. The fractional blood volume in the tissue of interest should be entered as a fixed value and kinetics of blood cell uptake of FDG should be included in the model. Data smoothing does not improve the results, and timing errors should be avoided by precise temporal matching of blood and tissue time-activity curves and by replacing manual with automated blood sampling.

Quantitative Assessment of Heterogeneity in Tumor Metabolism Using FDG-PET

[(18)F]-fluorodeoxyglucose-positron emission tomography (FDG-PET) images are usually quantitatively analyzed in "whole-tumor" volumes of interest. Also parameters determined with dynamic PET acquisitions, such as the Patlak glucose metabolic rate (MR(glc)) and pharmacokinetic rate constants of two-tissue compartment modeling, are most often derived per lesion. We propose segmentation of tumors to determine tumor heterogeneity, potentially useful for dose-painting in radiotherapy and elucidating mechanisms of FDG uptake. In 41 patients with 104 lesions, dynamic FDG-PET was performed. On MR(glc) images, tumors were segmented in quartiles of background subtracted maximum MR(glc) (0%-25%, 25%-50%, 50%-75%, and 75%-100%). Pharmacokinetic analysis was performed using an irreversible two-tissue compartment model in the three segments with highest MR(glc) to determine the rate constants of FDG metabolism. From the highest to the lowest quartile, significant decreases of uptake (K(1)), washout (k(2)), and phosphorylation (k(3)) rate constants were seen with significant increases in tissue blood volume fraction (V(b)). Tumor regions with highest MR(glc) are characterized by high cellular uptake and phosphorylation rate constants with relatively low blood volume fractions. In regions with less metabolic activity, the blood volume fraction increases and cellular uptake, washout, and phosphorylation rate constants decrease. These results support the hypothesis that regional tumor glucose phosphorylation rate is not dependent on the transport of nutrients (i.e., FDG) to the tumor.

Allosteric Cooperativity in Inhibition of Protein Kinase a Catalytic Subunit

Allosteric cooperativity in inhibition of protein kinase A was studied for the first time kinetically, by using the second-order rate constants of kemptide phosphorylation, measured in the absence and presence of inhibitors, and the ef- fect of cooperativity was characterized in terms of the interaction factor  . This kinetic method was evaluated for differ- ently targeted inhibitors H89 and LRRAALG-NH2, and interaction of these compounds with the free enzyme and the en- zyme-substrate complexes was quantified. The inhibitory effect of these compounds was asymmetric relatively ATP and kemptide, and allosteric enhancement of LRRAALG-NH2 binding in the presence of ATP was revealed. This cooperative effect was compared with results of ligand binding studies and the principle better binding - stronger allostery was formulated and formalized in terms of a linear-free-energy relationship p( ) = C + S pKi, where p( ) stands for the negative logarithm of the interaction factor and pKi characterizes affinity of the free enzyme for the inhibitory peptide, C=-2.7 and S=0.9, r=0.92.

Smooth Muscle Myosin Phosphorylated at Single Head Shows Sustained Mechanical Activity

Smooth muscle contraction is regulated by the phosphorylation of myosin. It is well known that tonic smooth muscles can maintain force with low energy consumption (latch state); however, the molecular mechanism underlying this phenomenon is unresolved. Here we show that single-head phosphorylated smooth myosin (SHPMII) exhibits fast ( approximately 24 s(-1)) and slow prolonged ( approximately 1 s(-1)) actin interactions, whereas double-head phosphorylated myosin (DHPMII) predominantly exhibits the fast ( approximately 29 s(-1)) interaction, suggesting that the phosphorylated head of SHPMII is mechanically as active as that of DHPMII. Both the fast and the slow actin interactions of SHPMII support the positive net mechanical displacement of actin. The actin translocating velocity of SHPMII was much slower than that of DHPMII, which is consistent with the slow actin interaction of SHPMII. We propose that the "latch state" can be explained by the motor characteristics of SHPMII that is present during the sustained phase of contraction.

Detection of Measurement Outliers in Tracer Kinetics

Abstract In tracer kinetic studies for extracting biological information, measurement noise and error in the kinetics could affect the reliability of the estimated biological parameters. While the effect of statistical noise has been studied extensively before, the effect of outliers has not been addressed as much. In this study, we described an algorithm for detecting and removing outliers. Computer simulation was used to generate kinetic data sets corresponding to those of the FDG tracer used in PET studies to evaluate the effect of outliers and the performance of the outlier detection algorithm. Results show that outlier could increase drastically the variability of the estimated rate constants of FDG transport and phosphorylation. The outlier detection algorithm imbedded in a regular model fitting procedure was found to have a low probability of missing outliers in the kinetics. The probability of falsely identifying non-outliers as outliers was high, but these false positive detections did not affect the reliability of the biological estimates. With the outlier detection, the variability of the parameter estimates in the simulated FDG kinetics with outliers could be reduced by a factor of more than 5. The present study demonstrated the importance of outlier detection in interpreting tracer kinetics. Some areas for future studies are also discussed.

Selectivity, acetylcholinesterase inhibition kinetics, and quantitative structure–activity relationships of a series of N-(2-oxido-1,3,2-benzodioxa-phosphol-2-yl) amino acid ethyl or diethyl esters

The inhibitory effects of a recently introduced series of the titled compounds on insect and mammalian acetylcholinesterase (AChE) activity were examined, where the median inhibition concentration ( I 50) and the inhibition kinetic parameters, bimolecular inhibition rate constant ( k i), affinity constant ( K a), and phosphorylation rate constant ( k p), were determined for each compound. Results indicated that all examined dioxaphospholenes had less inhibitory effects on mammalian AChE than fenitrothion, a commercial pesticide with moderate mammalian toxicity. The highest selectivity was obtained with compounds containing glutamic and leucine moieties (2.70 and 2.18, respectively) while selectivity of fenitrothion was 0.93. The low inhibitory effects of the examined dioxaphospholenes on mammalian AChE were attributed to their low phosphorylation rates ( k p < 2.2 min −1) compared to that of fenitrothion ( k p = 4.84 min −1). QSAR equations indicated that the inhibition process is controlled mainly by both the phosphorylation rate (direct effect) and the affinity of compounds toward the enzyme (inverse effect). Although the compounds’ hydrophobicity had no effects on the inhibition process, it affects the compounds’ toxicity since it affects the ability of compounds to penetrate insects to reach the enzyme active site.

Evidence Calcium Pump Binds Magnesium before Inorganic Phosphate

Calcium pump-catalyzed (18)O exchange between inorganic phosphate and water was studied to test the hypothesis that all P-type pumps bind Mg(2+) before P(i) and validate utilization of the rate equation for ordered binding to interpret differences between site-directed mutants and wild-type enzyme. The results were remarkably similar to those obtained earlier with sodium pump (Kasho, V. N., Stengelin, M., Smirnova, I. N., and Faller, L. D. (1997) Biochemistry 36, 8045- 8052). The equation for ordered binding of Mg(2+) before P(i) fit the data best with only a slight chance (0.6%) of P(i) binding to apoenzyme. Therefore, P(i) is the substrate, and Mg(2+) is an obligatory cofactor. The intrinsic Mg(2+) dissociation constant from metalloenzyme (K(M) = 3.5 +/- 0.3 mm) was experimentally indistinguishable from the sodium pump value. However, the half-maximal concentration for P(i) binding to metalloenzyme ((K(p)(')=6.3+/-0.6 mM)) was significantly higher ( approximately 6-fold), and the probability of calcium pump forming phosphoenzyme from bound P(i) (P(c) = 0.04 +/- 0.03) was significantly lower ( approximately 6-fold) than for the sodium pump. From estimates of the rate constants for phosphorylation and dephosphorylation, the calcium pump appears to catalyze phosphoryl group transfer less efficiently than the sodium pump. Ordered binding of Mg(2+) before P(i) implies that both calcium pump and sodium pump form a ternary enzyme.metal.phosphate complex, consistent with molecular structures of other haloacid dehalogenase superfamily members that were crystallized with Mg(2+) and phosphate, or a phosphate analogue, bound.

Interactions of impaired glucose transport and phosphorylation in skeletal muscle insulin resistance: a dose-response assessment using positron emission tomography.

It has been postulated that glucose transport is the principal site of skeletal muscle insulin resistance in obesity and type 2 diabetes, though a distribution of control between glucose transport and phosphorylation has also been proposed. The current study examined whether the respective contributions of transport and phosphorylation to insulin resistance are modulated across a dose range of insulin stimulation. Rate constants for transport and phosphorylation in skeletal muscle were estimated using dynamic positron emission tomography (PET) imaging of 2-deoxy-2[18F]fluoro-D-glucose ([18F]FDG) during insulin infusions at three rates (0, 40, and 120 mU/m2 per min) in lean glucose-tolerant, obese glucose-tolerant, and obese type 2 diabetic subjects. Parallel studies of arteriovenous fractional extraction across the leg of [18F]FDG and [2-3H] glucose were performed to measure the "lumped constant" (LC) (i.e., the analog effect) for [18F]FDG to determine whether this value is affected by insulin dose or insulin resistance. The value of the LC was similar across insulin doses and groups. Leg glucose uptake (LGU) also provided a measure of skeletal muscle glucose metabolism independent of PET. [18F]FDG uptake determined by PET imaging strongly correlated with LGU across groups and across insulin doses (r = 0.81, P < 0.001). Likewise, LGU correlated with PET parameters of glucose transport (r = 0.67, P < 0.001) and glucose phosphorylation (r = 0.86, P < 0.001). Glucose transport increased in response to insulin in the lean and obese groups (P < 0.05), but did not increase significantly in the type 2 diabetic group. A dose-responsive pattern of stimulation of glucose phosphorylation was observed in all groups of subjects (P < 0.05); however, glucose phosphorylation was lower in both the obese and type 2 diabetic groups compared with the lean group at the moderate insulin dose (P < 0.05). These findings indicate an important interaction between transport and phosphorylation in the insulin resistance of obesity and type 2 diabetes.

Phosphorylation of Ser(19) alters the conformation of tyrosine hydroxylase to increase the rate of phosphorylation of Ser(40).

The effect of phosphorylation on the shape of tyrosine hydroxylase (TH) was studied directly using gel filtration and indirectly using electrospray ionization mass spectrometry. Phosphorylation of Ser(19) and Ser(40) produced a TH molecule with a more open conformation than the non-phosphorylated form. The conformational effect of Ser(19) phosphorylation is less pronounced than that of the Ser(40) phosphorylation. The effect of Ser(19) and Ser(40) phosphorylation appears to be additive. Binding of dopamine produced a more compact form when compared with the non-dopamine-bound TH. The interdependence of Ser(19) and Ser(40) phosphorylation was probed using electrospray ionization mass spectrometry. The rate constants for the phosphorylation of Ser(19) and Ser(40) were determined by electrospray ionization mass spectrometry using a consecutive reaction model. The rate constant for the phosphorylation of Ser(40) is approximately 2- to 3-fold higher if Ser(19) is already phosphorylated. These results suggest that phosphorylation of Ser(19) alters the conformation of tyrosine hydroxylase to allow increased accessibility of Ser(40) to kinases.

Thioflavin T Is a Fluorescent Probe of the Acetylcholinesterase Peripheral Site That Reveals Conformational Interactions between the Peripheral and Acylation Sites

Three-dimensional structures of acetylcholinesterase (AChE) reveal a narrow and deep active site gorge with two sites of ligand binding, an acylation site at the base of the gorge, and a peripheral site near the gorge entrance. Recent studies have shown that the peripheral site contributes to catalytic efficiency by transiently binding substrates on their way to the acylation site, but the question of whether the peripheral site makes other contributions to the catalytic process remains open. A possible role for ligand binding to the peripheral site that has long been considered is the initiation of a conformational change that is transmitted allosterically to the acylation site to alter catalysis. However, evidence for conformational interactions between these sites has been difficult to obtain. Here we report that thioflavin T, a fluorophore widely used to detect amyloid structure in proteins, binds selectively to the AChE peripheral site with an equilibrium dissociation constant of 1.0 microm. The fluorescence of the bound thioflavin T is increased more than 1000-fold over that of unbound thioflavin T, the greatest enhancement of fluorescence for the binding of a fluorophore to AChE yet observed. Furthermore, when the acylation site ligands edrophonium or m-(N, N,N-trimethylammonio)trifluoroacetophenone form ternary complexes with AChE and thioflavin T, the fluorescence is quenched by factors of 2.7-4.2. The observation of this partial quenching of thioflavin T fluorescence is a major advance in the study of AChE for two reasons. First, it allows thioflavin T to be used as a reporter for ligand reactions at the acylation site. Second, it indicates that ligand binding to the acylation site initiates a change in the local AChE conformation at the peripheral site that quenches the fluorescence of bound thioflavin T. The data provide strong evidence in support of a conformational interaction between the two AChE sites.

Phosphobutyrylcholinesterase: phosphorylation of the esteratic site of butyrylcholinesterase by ethephon [(2-chloroethyl)phosphonic acid] dianion.

Ethephon [(2-chloroethyl)phosphonic acid] has two seemingly unrelated types of biological activity. It is a major agrochemical absorbed by crops, slowly releasing ethylene as a plant growth regulator. Ethephon also inhibits the activity of plasma butyrylcholinesterase (BuChE) in humans, dogs, rats, and mice. This is totally unexpected for an ionized phosphonic acid (mostly the dianion at physiological pH), in contrast to the classical inhibitors (nonionized triester phosphates) which phosphorylate serine at the active site. This study tests the hypothesis that ethephon (as the dianion) also acts as a phosphorylating agent in inhibiting BuChE activity. The sensitivity of plasma BuChE to ethephon (90 min preincubation at 25 degrees C) is greatest for humans, dogs, and mice (IC(50) = 6-23 microM), intermediate for chickens, rabbits, rats, and guinea pigs (IC(50) = 26-53 microM), and lowest for pigs and horses (IC(50) = 92-172 microM). The IC(50) decreases linearly with time on a log-log scale to values of 0.15-0. 3 microM for human, dog, and horse BuChE at 24 h. The inhibition rate is generally related to ethephon concentration, consistent with a bimolecular reaction, e.g., phosphorylation. The extent of inhibition of the esteratic activity of BuChE by ethephon is directly proportional to the extent of inhibition of [(3)H]diisopropyl phosphorofluoridate ([(3)H]DFP) postlabeling which is not reversible on removing the ethephon, either directly or after further incubation for 24 h at 25 degrees C. These observations strongly suggest that ethephon, as DFP, phosphorylates human plasma BuChE at Ser-198 of the esteratic site, or more generally, the formation of a phosphobutyrylcholinesterase. With human plasma BuChE, (2-bromoethyl)- and (2-iodoethyl)phosphonic acids have lower affinities for the site than ethephon but higher phosphorylation rate constants, consistent with their relative hydrolysis rates at pH 7.4 (phosphorylation of water). (2-Chlorohexyl)phosphonic acid is a poor inhibitor, perhaps being too reactive with water. Thus, potency differences for ethephon and its analogues with BuChE of various species depend on both the affinities and phosphorylation rates, i.e., the binding and reactivity of the (2-haloalkyl)phosphonic acid dianion in the esteratic site.

A steric blockade model for inhibition of acetylcholinesterase by peripheral site ligands and substrate

The active site gorge of acetylcholinesterase (AChE) contains two sites of ligand binding, an acylation site near the base of the gorge and a peripheral site at its mouth. We recently introduced a steric blockade model which demonstrated that small peripheral site ligands like propidium can inhibit substrate hydrolysis simply by decreasing the substrate association and dissociation rate constants without altering the equilibrium constant for substrate binding to the acylation site. We now employ our nonequilibrium kinetic analysis to extend this model to include blockade of the dissociation of substrate hydrolysis products by bound peripheral site ligand. We also report here that acetylthiocholine can bind to the AChE peripheral site with an equilibrium dissociation constant KS of about 1 mM. This value was determined from the effect of the acetylthiocholine concentration on the rate at which fasciculin associates with the peripheral site. When substrate binding to the peripheral site is incorporated into our steric blockade model, hydrolysis rates at low substrate concentration appear to be accelerated while substrate inhibition of hydrolysis occurs at high substrate concentration. The model predicts that hydrolysis rates for substrates which equilibrate with the acylation site prior to the acylation step should not be inhibited by bound peripheral site ligand. Organophosphates equilibrate with AChE prior to phosphorylating the active site serine residue, and as predicted propidium had little effect on the phosphorylation rate constants for the fluorogenic organophosphate ethylmethyl–phosphonylcoumarin (EMPC). The 2nd-order phosphorylation rate constant kOP/KOP was decreased 3-fold by a high concentration of propidium and the 1st-order rate constant kOP increased somewhat. In contrast to propidium, when the neurotoxin fasciculin bound to the AChE peripheral site both a steric blockade and a conformational change in the acylation site appeared to occur. With saturating fasciculin, kOP/KOP decreased by a factor of more than 750 and kOP decreased 300-fold. These data suggest that new peripheral site ligands may be designed to have selective effects on AChE phosphorylation.