Inhibitor of drug-protein binding in "Vacutainers".
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Equilibrium dialysis measurements were carried out to study the binding of 1-beta-D-arabinofuranosyl cytosine (ara-C) to human and bovine serum albumin (HSA, BSA) and to chemically modified albumin. The binding of 4-phenylbutyric acid to HSA was studied, too. Binding data were presented as Scatchard plots. There are two types of binding sites of different affinity for ara-C both on HSA and BSA. The relatively small value of affinity constant indicates that the pharmacological properties of ara-C might not be influenced very strongly by the HSA interaction or by competitive binding of other drugs. Selective chemical modifications of HSA with diethylpyrocarbonate (DEP) or o-nitrophenylsulfenyl chloride (NPS-Cl) reduce significantly the affinity of the strong binding area. On the other hand, the attachment of poly-alpha-L-glutamyl or poly-DL-alanyl side-chains to BSA increase the number of the strong and secondary binding sites and also the affinity at the first group of sites. Experimental results suggest a correlation between the binding affinity and therapeutic efficacy of various cytotoxic drug-protein complexes.
To evaluate drug-protein binding, a sensitive method for the determination of ibuprofen in submilliliter amounts of serum was required. A specific and highly sensitive procedure, based on benzene extraction of the acidified specimen. TLC of the benzene extract residue, fomation of the pentafluorobenzyl esters of the materials eluted from the thin-layer chromatogram, and quantification of the pentafluorobenzyl esters by GLC, was developed. Utilizing electron-capture detection, the method is sensitive to 0.1 microgram of ibuprofen/0.1 ml of serum. Statistical analyses indicated an average recovery of 97.7% with a standard deviation of +/- 7.3%. Mass spectrometric analysis, in conjunction with GLC, confirmed the specificity of the method for the intact drug. The procedure was applied successfully to drug absorption and drug-protein binding studies in humans.
Drug-protein binding is reviewed from a clinical and practical point of view. Commonly used drugs are discussed and the effects of disease, drug dosage and hypoalbuminaemia on drug-protein binding are reviewed. Doses of highly bound (greater than 80%) drugs in patients with hypoalbuminaemia, liver disease or renal failure should be regularly reviewed.
Gentamicin binding to serum proteins was studied by equilibrium dialysis at 37 degrees C and pH 7.4 in the presence of both physiologic and adjusted concentrations of ionized calcium and magnesium. The percentage of bound drug was inversely related to the concentration of these two divalent cations, raning from 27% bound with no calcium and magnesium present to 17% bound in the presence of four times physiologic concentrations. No significant difference in the extent of drug-protein binding was noted in a comparison of sera from healthy and uremic subjects. Heparin also was found to affect gentamicin binding. Increasing heparin concentration in serum increased apparent gentamicin-protein binding to 34% in the presence of physiologic amounts of calcium and magnesium. Buffered heparin solutions without plasma proteins bound up to 65% of total drug concentration. Gentamicin-protein binding may have implications regarding pharmacokinetics and renal cortical uptake.
The determination of drug-protein binding parameters (n's and K's) can lead to important information on the required therapeutic dosage regimen and possible clinical complications associated with competitive displacement of one drug by a concurrently administered agent. Graphical and computer estimates of the data are often incorrectly formulated, and and seldom are adequate data obtained at low binding ratios. Commonly used graphical procedures, inadequately formulated computer methods, and a statistically correct computer method were used to compare results obtained from a circular dichroic examination of dicumarol-human serum albumin and fenoprofen-human serum albumin interactions. Literature binding constants for dicumarol-albumin range from 1 X 10(5) to 30 times that figure, and it is shown here that a wide range in parameter estimates may be obtained depending on the method of data analysis. The parameter estimates in the case of fenoprofen-albumin are even more variable.
The binding of tritium-labelled tubocurarine to separate protein fractions of sera from normal subjects and patients with hepatic disease was measured by an electrophoretic technique. The binding of the drug to gamma globulin and albumin solutions also was studied using equilibrium dialysis. The major portion of the drug, 82-90%, was bound to the gamma globulin electrophoretic fraction of both normal and patient sera. However, as measured by equilibrium dialysis, only 15.8% of the drug was bound to the gamma globulin and 23.8% to albumin. Equilibrium dialysis yields the data by which the validity of other methods for measuring drug-protein binding can be judged. Since in a previous study we also found no difference in binding of the drug between healthy individuals and patients with hepatic disease, equilibrium dialysis measurements may reflect better the binding of the drug in vivo.
The effects of three tetracyclines, demethylchlortetracycline (DMC), minocycline (MNC), and oxytetracycline (OTC), on Na+ transport (measured as short-circuit current) were examined in toad urinary bladders mounted in modified Ussing chambers. During a 1-h incubation period serosal DMC (but not MNC or OTC) inhibited basal Na+ transport, whereas MNC (but not DMC or OTC) inhibited ADH-stimulated Na+ transport. MNC also inhibited cyclic AMP-stimulated Na+ transport. During longer incubation periods all three drugs inhibited basal Na+ transport. The DMC-induced inhibition of basal Na+ transport and the MNC-induced inhibition of ADH-stimulated Na+ transport were paralleled by an inhibition of the active conductance of the bladders. Thus, although all three drugs inhibit basal Na+ transport, only MNC inhibits ADH-stimulated Na+ transport. This effect does not correlate with the known effects of the tetracyclines on ADH-stimulated water flow or with drug-protein binding, and may be related to the greater lipid solubility of MNC.
The nitrogen-specific detector for gas chromatography consists of a non-volatile rubidium silicate bead, around which nitrogen-containing compounds are pyrolyzed. Speed, sensitivity, specificity, accuracy, small sample size and minumum sample handling are characteristics of the nitrogen detector that render it superior to conventional gas chromatographic detectors. The detector has been utilized to effect a simple and rapid quantitation of allobarbital, amobarbital, butabarbital, heptabarbital, pentabarbital, phenobarbital and secobarbital, plus the anticonvulsants diphenylhydantoin and primidone. Extraction of the drugs from acidified serum into organic solvent containing internal standard is followed by oncolumn methylation with methanolic trimethylphenyl ammonium hydroxide. The drugs, separated on a column of 3 percent OV-101 on Gas-Chrom Q, 100-120 mesh are readily quantitated by simple calculations based on peak-height ratios. Therapeutic drug monitoring is discussed in relation to recent concepts of drug-protein binding, drug-drug interactions, drug biotransformation and problems of multiple drug therapy.
Albumin can be immobilized in microparticles of poly-acrylamide in such a way that its ligand-binding properties are retained. With radiolabeled salicylic acid, warfarin, and tryptophan, the same characteristics are obtained for binding to albumin in the microparticles as in free solution. The particles can be used conveniently to determine association constants and the number of binding sites directly. The association constant of a competitive displacer can be determined indirectly as well, as shown with diazepam-salicylic acid and tryptophan-salicylic acid.
Dengue infection remains a major global public health challenge, with no specific antiviral therapy currently available. The dengue virus non-structural protein 1 (NS1) exists in both intracellular and secreted forms playing a pivotal role in viral replication, immune evasion, and pathogenesis, particularly by contributing to endothelial disruption and vascular leakage during severe disease, thereby making it a promising therapeutic target. In silico screening identified berberine, betulinic acid, and ursolic acid as top candidates, exhibiting high binding affinities and stable interactions within the NS1 binding pocket. These computational predictions were further validated by biophysical assays, which demonstrated strong and specific binding interactions between the purified NS1 protein and the selected compounds. All three compounds significantly reduced viral genome levels, with the highest inhibition observed for berberine (60%), and followed by betulinic acid (40%) and ursolic acid (28%). Consistently, berberine showed the most potent inhibition of both intracellular and extracellular NS1. Overall, these findings highlight the inhibitory potential of natural compounds against DENV NS1 and provide a strong foundation for the development of NS1-targeted antivirals as a novel therapeutic strategy against dengue infection.
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Identifying protein targets for per- and polyfluoroalkyl substances (PFASs) is essential to understand their toxicity and health risks. However, knowledge about their interacting proteins is limited since reliable identification methods are lacking. We developed an integrated approach combining thermal proteome profiling (TPP) and deep transfer learning (DTL) modeling to efficiently identify cellular targets of PFAS. TPP measured PFAS binding proteins and the affinities by nanospray liquid chromatography tandem mass spectrometry, while DTL models were constructed to predict PFAS-protein affinities using neural network algorithms. TPP results revealed that PFASs uniquely destabilized the proteome of HepG2 cells, unlike the stabilizing effects by other xenobiotics. Key protein targets for three representative PFASs (PFOA, GenX and Novec 649) were identified, which exhibited weak binding affinities (median EC50 ≈ 30 μM). The number of protein targets increased with molecular weights among the three PFASs. The DTL model achieved a higher Pearson correlation coefficient of 0.89, and reduced mean squared errors by 54 % over previous models for drug-protein interactions. Notably, TPP and DTL jointly pinpointed ribosomal proteins as novel targets of GenX, potentially linking it to cell apoptosis through disrupted protein synthesis. Biolayer interferometry validated GenX binding to RPL4 protein, driven by electrostatic interactions and halogen bonds. This integrated approach effectively uncovers novel PFASs targets, advancing insights into their adverse health effects.
Disease states can alter protein binding of antimicrobials by either a reduction in the concentration of serum proteins or the accumulation of endogenous compounds, such as bilirubin and free fatty acids (FFA), that affect drug-protein interactions. In terms of protein concentration, extremely low levels of albumin (less than 2.5 m/100 ml) are required to markedly reduce binding of antimicrobials. In vitro addition of high concentrations of bilirubin and FFA to normal serum reduces binding of most antimicrobials. However, binding of some antibiotics appears to be enhanced at lower concentrations of FFA probably by an allosteric mechanism. These in vitro observations have been confirmed in sera from patients during heparin administration and patients with hyperbilirubinemia. Reduced protein binding of acidic antimicrobials in uremia appears to be associated with the accumulation of another, as yet unknown, endogenous binding inhibitor. Significant reduction in protein binding can affect the distribution of drugs and results of microbiologic assays.