Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
Br J Pharmacol ; 154(6): 1369-78, 2008 Jul.
Article in English | MEDLINE | ID: mdl-18493251

ABSTRACT

BACKGROUND AND PURPOSE: The pharmacokinetic-pharmacodynamic (PK-PD) correlation of fluvoxamine 5-HT transporter (SERT) occupancy was determined in rat frontal cortex ex vivo. EXPERIMENTAL APPROACH: Rats (n=47) with permanent arterial and venous cannulas received a 30 min intravenous infusion of fluvoxamine (1 or 7.3 mg kg(-1)). At various time points after dosing, brains were collected for determination of fluvoxamine concentration and SERT occupancy. In addition, the time course of fluvoxamine concentration in plasma was determined up to the time of brain collection. In a separate study (n=26), the time course of fluvoxamine concentration in brain extracellular fluid (ECF) and plasma was determined. The results of the investigations were interpreted by nonlinear mixed effects modeling. KEY RESULTS: Highest SERT occupancy was reached at the first time point (10 or 15 min) and maintained for 1.5 and 7 h after 1 and 7.3 mg kg(-1), respectively. Thereafter, SERT occupancy decreased linearly at a rate of 8% h(-1). SERT occupancy could be directly related to plasma, brain ECF and brain tissue concentrations by a hyperbolic function (Bmax model). Maximal SERT occupancy (Bmax) was 95%. Estimated concentrations at half-maximal SERT occupancy (EC50) in plasma, ECF and brain tissue were 0.48, 0.22 and 14.8 ng mL(-1) respectively. The minimum value of the objective function decreased 12 points for ECF and brain tissue concentrations relative to plasma (P<0.01), presumably as a result of nonlinear brain distribution. CONCLUSIONS AND IMPLICATIONS: The proposed PK-PD model constitutes a useful basis for prediction of the time course of ex vivo SERT occupancy in behavioural studies with selective serotonin reuptake inhibitors.


Subject(s)
Fluvoxamine/pharmacology , Fluvoxamine/pharmacokinetics , Prefrontal Cortex/metabolism , Selective Serotonin Reuptake Inhibitors/pharmacology , Serotonin Plasma Membrane Transport Proteins/metabolism , Algorithms , Animals , Chromatography, High Pressure Liquid , Data Interpretation, Statistical , Fluvoxamine/administration & dosage , Image Processing, Computer-Assisted , In Vitro Techniques , Infusions, Intravenous , Male , Microdialysis , Models, Biological , Prefrontal Cortex/drug effects , Rats , Rats, Wistar , Serotonin Plasma Membrane Transport Proteins/drug effects , Selective Serotonin Reuptake Inhibitors/administration & dosage
2.
Toxicol Lett ; 151(1): 51-61, 2004 Jun 15.
Article in English | MEDLINE | ID: mdl-15177640

ABSTRACT

Data on occurrence of dioxins (polychlorinated dibenzo-p-dioxins [PCDDs] and dibenzofurans [PCDFs]), dioxin-like PCBs (polychlorinated non-ortho and mono-ortho biphenyls) and non-dioxin-like PCBs (as represented by the so-called indicator-PCBs: congeners 28, 52, 101, 118, 138, 153 and 180) in food products consumed in The Netherlands that were collected in measurement programs carried out during 1998 and 1999, and combined with food consumption data to assess the dietary intake of these persistent food contaminants. The estimated median life-long-averaged intake of the sum of dioxins and dioxin-like PCBs in the population is 1.2 pg WHO-TEQ (toxic equivalents) per kg body weight (bw) per day, while the estimated median life-long-averaged intake of indicator-PCBs is 5.6 ng per kg bw per day. The contribution of different food groups to the total intake of both dioxins + dioxin-like PCBs and non-dioxin-like PCBs is fairly uniformly distributed over the foods consumed: meat products (23% and 27%, respectively), dairy products (27% and 17%, respectively), fish (16% and 26%, respectively), eggs (4% and 5%, respectively), vegetable products (13% and 7%, respectively), and industrial oils and fats (17% and 18%, respectively). Compared with earlier intake estimations the present estimation shows a continued reduction in the intake of dioxins as well as PCBs. This reduction is related to the decrease in the concentration of these substances in the majority of foodstuffs. Nevertheless, a small part of the population still has a rather high life-long averaged intake: 8% of the population is exposed to intake levels above the tolerable weekly intake for dioxins and dioxin-like PCBs of 14 pg WHO-TEQ per kg bw per week, as recently derived by the Scientific Committee on Food of the European Commission. For the non-dioxin-like PCBs an internationally accepted maximum intake level is still lacking. However, to provide risk managers with a health-based guideline to prevent health effects of exposure to non-dioxin-like PCBs, the (international) derivation of a tolerable daily intake is recommended. Monitoring the dietary intake of PCBs is just as important as monitoring the intake of dioxins and dioxin-like PCBs, and attempts to decrease the exposure to both compound classes need continuous attention.


Subject(s)
Benzofurans/analysis , Dioxins/analysis , Food Analysis , Polychlorinated Biphenyls/analysis , Adolescent , Adult , Aged , Aged, 80 and over , Body Burden , Child , Child, Preschool , Environmental Exposure/adverse effects , Female , Humans , Infant , Male , Middle Aged , Netherlands
3.
J Air Waste Manag Assoc ; 50(2): 292-300, 2000 Feb.
Article in English | MEDLINE | ID: mdl-10680359

ABSTRACT

Information about the ratio between indoor and outdoor concentrations (IO ratios) of air pollutants is a crucial component in human exposure assessment. The present study examines the relationship between indoor and outdoor concentrations as influenced by the combined effect of time patterns in outdoor concentrations, ventilation rate, and indoor emissions. Two different mathematical approaches are used to evaluate IO ratios. The first approach involves a dynamic mass balance model that calculates distributions of transient IO ratios. The second approach assumes a linear relationship between indoor and outdoor concentrations. We use ozone and benzene as examples in various modeling exercises. The modeled IO ratio distributions are compared with the results obtained from linear fits through plots of indoor versus outdoor concentrations.


Subject(s)
Air Pollution, Indoor/analysis , Air Pollution/analysis , Algorithms , Humans , Models, Biological
SELECTION OF CITATIONS
SEARCH DETAIL
...