ABSTRACT
PURPOSE: AST-120 is used to decrease the abundance of serum uremic toxins in treatment of chronic kidney disease; however, it could also adsorb concomitantly administered drugs. This study aimed to develop a prediction method for drug interaction between AST-120 and concomitantly administered drugs based on in vitro dissolution and in vivo absorption behavior. METHODS: Sixty-eight drugs were selected for the analysis. For each drug, theoretical dissolution (R d) and absorption (R a) rates at estimated dosing intervals (1, 30, 60, 90, 120, and 240 min) were calculated using the Noyes-Whitney formula and compartment analysis, respectively. The optimal thresholds for R d and R a (R dth and R ath) were estimated by comparing the results with those of previous drug interaction studies for six drugs. Four drug interaction risk categories for 68 drugs at each dose interval were defined according to the indices of dissolution and absorption against their thresholds. RESULTS: The in vitro dissolution and in vivo absorption behavior of the selected drugs were well fitted to the Noyes-Whitney formula and one- or two-compartment models. The optimal R dth and R ath that gave the highest value of consistency with the equivalence of drug interaction studies were 90 and 30 %, respectively. As the dosing intervals were lengthened, the number of drugs classified into the low-risk categories increased. CONCLUSION: A new drug interaction prediction method based on the pharmacokinetic parameters of drugs was developed. The new model is useful for estimating the risk of drug interaction in clinical practice when AST-120 is used in combination with other drugs.
Subject(s)
Carbon/chemistry , Carbon/pharmacokinetics , Models, Biological , Oxides/chemistry , Oxides/pharmacokinetics , Administration, Oral , Adsorption , Aluminum Hydroxide/chemistry , Aluminum Hydroxide/pharmacokinetics , Amlodipine/chemistry , Amlodipine/pharmacokinetics , Aspirin/chemistry , Aspirin/pharmacokinetics , Drug Interactions , Glycine/analogs & derivatives , Glycine/chemistry , Glycine/pharmacokinetics , Humans , Intestinal Absorption , Losartan/chemistry , Losartan/pharmacokinetics , Magnesium/chemistry , Magnesium/pharmacokinetics , Metoprolol/chemistry , Metoprolol/pharmacokinetics , Nifedipine/chemistry , Nifedipine/pharmacokinetics , Renal Insufficiency, Chronic/drug therapy , Renal Insufficiency, Chronic/metabolism , Solubility , Triazolam/chemistry , Triazolam/pharmacokineticsABSTRACT
OBJECTIVE: We found previously that the measurement of plasma levels of protein-conjugated acrolein (PC-Acro) together with IL-6 and CRP can be used to identify silent brain infarction (SBI) with high sensitivity and specificity. The aim of this study was to clarify how three biochemical markers are correlated to SBI, carotid atherosclerosis (CA) and white matter hyperintensity (WMH). METHODS: The levels of PC-Acro, IL-6 and CRP in plasma were measured by ELISA. SBI and WMH were evaluated by MRI, and CA was evaluated by duplex carotid ultrasonography. RESULTS: A total of 790 apparently healthy volunteers were classified into 260 control, 214 SBI, 263 CA and 245 WMH subjects, which included 187 subjects with two or three pathologies. When the combined measurements of PC-Acro, IL-6 and CRP were evaluated together with age, using a receiver operating characteristic curve and artificial neural networks, the relative risk value (RRV), an indicator of tissue damage, was in the order SBI with CA (0.90)>SBI (0.80)>CA (0.76)>WMH with CA (0.65)>WMH (0.46)>control (0.14). RRV was also correlated with severity in each group of SBI, CA and WMH. CONCLUSION: The RRV supports the idea that the degree of risk to develop a stroke is in the order SBI>CA>WMH.
Subject(s)
Acrolein/blood , Brain Infarction/pathology , Brain/pathology , C-Reactive Protein/biosynthesis , Carotid Artery Diseases/pathology , Interleukin-6/blood , Nerve Fibers, Myelinated/pathology , Adult , Aged , Aged, 80 and over , Brain Diseases/pathology , Female , Humans , Magnetic Resonance Imaging/methods , Male , Middle Aged , Neural Networks, Computer , Risk FactorsABSTRACT
It is known that the level of protein-conjugated acrolein in plasma is a good marker of chronic renal failure and brain infarction. Thus, studies were carried out to determine which kinds of plasma proteins are conjugated with acrolein. It was found that acrolein was mainly conjugated with albumin. Tandem mass spectrometry analysis demonstrated that Lys-557 and Lys-560, located at the surface of domain III of albumin, were the major sites conjugated with acrolein. This is the first report to identify the amino acid residues in a protein modified by acrolein in vivo. It was found that conjugation of acrolein with albumin contributed to a decrease in the toxicity of acrolein.
Subject(s)
Acrolein/metabolism , Brain Infarction/blood , Serum Albumin/metabolism , Acrolein/chemistry , Amino Acid Sequence , Biomarkers/chemistry , Biomarkers/metabolism , Humans , Lysine/chemistry , Lysine/metabolism , Molecular Sequence Data , Oxidative Stress , Protein Structure, Tertiary , Serum Albumin/chemistry , Tandem Mass SpectrometryABSTRACT
We found previously that increased levels of polyamine oxidase (PAO) [acetylpolyamine oxidase (AcPAO) plus spermine oxidase (SMO)], and acrolein (CH(2)CHCHO) are good markers of stroke. We then investigated whether silent brain infarction (SBI) can be detected by measuring acrolein, PAO, or other biomarkers. Several biomarkers were measured in the plasma of 53 normal subjects and 44 subjects with SBI. It was found that the levels of protein-conjugated acrolein (PC-Acro), interleukin-6 (IL-6) and C-reactive protein (CRP) were significantly higher in SBI than in normal subjects. PAO was slightly higher in SBI than in normal subjects. Since the probability of SBI was increased with age, values were analyzed including age as a factor. When the combined measurements of PC-Acro, IL-6 and CRP were evaluated together with age using a receiver operating characteristic curve, SBI was indicated with 89% sensitivity and 91% specificity. The results indicate that measurement of PC-Acro together with IL-6 and CRP makes it possible to identify SBI with high sensitivity and specificity.
Subject(s)
Acrolein/blood , Biomarkers/metabolism , Brain Infarction/metabolism , Brain/metabolism , C-Reactive Protein/biosynthesis , Interleukin-6/blood , Aged , Aged, 80 and over , Female , Humans , Interleukin-6/metabolism , Male , Matrix Metalloproteinase 9/metabolism , Middle Aged , Probability , ROC Curve , Sensitivity and SpecificityABSTRACT
The toxicity of acrolein was compared with that of reactive oxygen species using a mouse mammary carcinoma FM3A cell culture system. Complete inhibition of cell growth was accomplished with 10 microM acrolein, 100 microM H(2)O(2), and 20 microM H(2)O(2) plus 1mM vitamin C, which produce ()OH, suggesting that toxicity of acrolein is more severe than H(2)O(2) and nearly equal to that of ()OH, when these compounds were added extracellularly. Acrolein toxicity was prevented by N-acetyl-l-cysteine and N-benzylhydroxylamine, and attenuated by putrescine and spermidine. Toxicity of H(2)O(2) was prevented by glutathione peroxidase plus N-acetyl-l-cysteine, pyruvate, catalase, and reduced by polyphenol, and toxicity of ()OH was prevented by glutathione peroxidase plus N-acetyl-l-cysteine, pyruvate, catalase and reduced by N-acetyl-l-cysteine. The results indicate that prevention of cell toxicity by N-acetyl-l-cysteine was more effective with acrolein than with ()OH. Protein and DNA synthesis was damaged primarily by acrolein and reactive oxygen species, respectively.