scholarly journals Combining In Vitro Data and Physiologically Based Kinetic Modeling Facilitates Reverse Dosimetry to Define In Vivo Dose–Response Curves for Bixin‐ and Crocetin‐Induced Activation of PPARγ in Humans

2020 ◽  
Vol 64 (2) ◽  
pp. 1900880 ◽  
Author(s):  
Suparmi Suparmi ◽  
Laura Haan ◽  
Albertus Spenkelink ◽  
Jochem Louisse ◽  
Karsten Beekmann ◽  
...  
Keyword(s):  
Kinetic Modeling ◽  
Dose Response ◽  
Response Curves ◽  
Reverse Dosimetry ◽  
Physiologically Based ◽  
Dose Response Curves ◽  
Vitro Data ◽  
In Vitro Data

scholarly journals Integrating in vitro data and physiologically based kinetic modeling-facilitated reverse dosimetry to predict human cardiotoxicity of methadone

2020 ◽  
Vol 94 (8) ◽  
pp. 2809-2827
Author(s):  
Miaoying Shi ◽  
Hans Bouwmeester ◽  
Ivonne M. C. M. Rietjens ◽  
Marije Strikwold
Keyword(s):  
In Vitro Toxicity ◽  
Response Curves ◽  
Chemical Safety ◽  
Safety Testing ◽  
Reverse Dosimetry ◽  
Physiologically Based ◽  
Vitro Data ◽  
In Vitro Data

Abstract Development of novel testing strategies to detect adverse human health effects is of interest to replace in vivo-based drug and chemical safety testing. The aim of the present study was to investigate whether physiologically based kinetic (PBK) modeling-facilitated conversion of in vitro toxicity data is an adequate approach to predict in vivo cardiotoxicity in humans. To enable evaluation of predictions made, methadone was selected as the model compound, being a compound for which data on both kinetics and cardiotoxicity in humans are available. A PBK model for methadone in humans was developed and evaluated against available kinetic data presenting an adequate match. Use of the developed PBK model to convert concentration–response curves for the effect of methadone on human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) in the so-called multi electrode array (MEA) assay resulted in predictions for in vivo dose–response curves for methadone-induced cardiotoxicity that matched the available in vivo data. The results also revealed differences in protein plasma binding of methadone to be a potential factor underlying variation between individuals with respect to sensitivity towards the cardiotoxic effects of methadone. The present study provides a proof-of-principle of using PBK modeling-based reverse dosimetry of in vitro data for the prediction of cardiotoxicity in humans, providing a novel testing strategy in cardiac safety studies.

scholarly journals The Use of In Vitro Toxicity Data and Physiologically Based Kinetic Modeling to Predict Dose-Response Curves for In Vivo Developmental Toxicity of Glycol Ethers in Rat and Man

2010 ◽  
Vol 118 (2) ◽  
pp. 470-484 ◽  
Author(s):  
Jochem Louisse ◽  
Esther de Jong ◽  
Johannes J. M. van de Sandt ◽  
Bas J. Blaauboer ◽  
Ruud A. Woutersen ◽  
...  
Keyword(s):  
Kinetic Modeling ◽  
Dose Response ◽  
Developmental Toxicity ◽  
In Vitro Toxicity ◽  
Toxicity Data ◽  
Glycol Ethers ◽  
Response Curves ◽  
Physiologically Based

scholarly journals Physiologically based kinetic modelling based prediction of in vivo rat and human acetylcholinesterase (AChE) inhibition upon exposure to diazinon

2021 ◽  
Author(s):  
Shensheng Zhao ◽  
Sebastiaan Wesseling ◽  
Bert Spenkelink ◽  
Ivonne M. C. M. Rietjens
Keyword(s):  
Dose Response ◽  
Kinetic Modelling ◽  
Ache Inhibition ◽  
Response Curves ◽  
Alternative Testing ◽  
Dose Response Curves ◽  
Physiologically Based Kinetic Modelling ◽  
Point Of Departure

AbstractThe present study predicts in vivo human and rat red blood cell (RBC) acetylcholinesterase (AChE) inhibition upon diazinon (DZN) exposure using physiological based kinetic (PBK) modelling-facilitated reverse dosimetry. Due to the fact that both DZN and its oxon metabolite diazoxon (DZO) can inhibit AChE, a toxic equivalency factor (TEF) was included in the PBK model to combine the effect of DZN and DZO when predicting in vivo AChE inhibition. The PBK models were defined based on kinetic constants derived from in vitro incubations with liver fractions or plasma of rat and human, and were used to translate in vitro concentration–response curves for AChE inhibition obtained in the current study to predicted in vivo dose–response curves. The predicted dose–response curves for rat matched available in vivo data on AChE inhibition, and the benchmark dose lower confidence limits for 10% inhibition (BMDL10 values) were in line with the reported BMDL10 values. Humans were predicted to be 6-fold more sensitive than rats in terms of AChE inhibition, mainly because of inter-species differences in toxicokinetics. It is concluded that the TEF-coded DZN PBK model combined with quantitative in vitro to in vivo extrapolation (QIVIVE) provides an adequate approach to predict RBC AChE inhibition upon acute oral DZN exposure, and can provide an alternative testing strategy for derivation of a point of departure (POD) in risk assessment.

Histamine H2-receptor of human and rabbit parietal cells

1987 ◽  
Vol 253 (4) ◽  
pp. G497-G501 ◽  
Author(s):  
R. Leth ◽  
B. Elander ◽  
U. Haglund ◽  
L. Olbe ◽  
E. Fellenius
Keyword(s):  
Dose Response ◽  
In Vivo Model ◽  
Response Curves ◽  
Gastric Glands ◽  
Histamine H2 Receptor ◽  
Receptor Affinity ◽  
H2 Receptor ◽  
Dose Response Curves

The histamine H2-receptor on the human parietal cell has been characterized by using dose-response curves and the negative logarithm of the molar concentration of an antagonist (pA2) analyses of cimetidine antagonism of betazole, histamine, and impromidine stimulation in isolated human and rabbit gastric glands. To evaluate the in vitro results, betazole-stimulated gastric acid secretion with and without cimetidine was also studied in healthy subjects. In the in vivo model, individual dose-response curves were shifted to the right with increasing cimetidine concentrations, but this was counteracted by increasing betazole doses, indicating competitive, reversible antagonism. The pA2 values ranged from 6.1 to 6.3. In isolated human gastric glands, impromidine was shown to be eight times more potent than histamine, indicating higher receptor affinity, but the maximally stimulated aminopyrine accumulation was the same as for histamine, and the pA2 values for cimetidine antagonism did not differ significantly, i.e., 5.7 (histamine) and 6.1 (impromidine). In isolated rabbit gastric glands, cimetidine inhibited the histamine- and impromidine-stimulated response with pA2 values of 6.0 and 7.3, respectively. Impromidine was shown to be approximately 100 times more potent than in human gastric glands, whereas histamine had the same potency. This confirms the role of the histamine H2-receptor and suggests a difference between the species concerning receptor affinity.

scholarly journals A Model Mechanism Based Explanation of an In Vitro-In Vivo Disconnect for Improving Extrapolation and Translation

2017 ◽  
Author(s):  
Andrew K. Smith ◽  
Yanli Xu ◽  
Glen E.P. Ropella ◽  
C. Anthony Hunt
Keyword(s):  
Dose Response ◽  
Mitochondrial Damage ◽  
System Level ◽  
Central Vein ◽  
Response Curves ◽  
Causal Explanations ◽  
Dose Response Curves ◽  
Virtual Culture

AbstractAn improved understanding of in vivo-to-in vitro hepatocyte changes is crucial to interpreting in vitro data correctly and further improving hepatocyte-based in vitro-to-in vivo extrapolations to human targets. We demonstrate using virtual experiments as a means to help untangle plausible causes of inaccurate extrapolations. We start with virtual mice that have biomimetic software livers. Earlier, using those mice, we discovered model mechanisms that enabled achieving quantitative validation targets while also providing plausible causal explanations for temporal characteristics of acetaminophen hepatotoxicity. We isolated virtual hepatocytes, created a virtual culture, and then conducted dose-response experiments in both culture and mice. We expected the two dose-response curves to be displaced. We were surprised that they crossed because it evidenced that simulated acetaminophen metabolism and toxicity are different for virtual culture and mouse contexts even though individual hepatocyte mechanisms were unchanged. Crossing dose-response curves is a virtual example of an in vivo-to-in vitro disconnect. We use detailed results of experiments to explain the disconnect. Individual hepatocytes contribute differently to system level phenomena. In liver, hepatocytes are exposed to acetaminophen sequentially. Relative production of the reactive acetaminophen metabolite is largest (smallest) in pericentral (periportal) hepatocytes. Because that sequential exposure is absent in culture, hepatocytes from different lobular locations do not respond the same. A virtual Culture-to-Mouse translation can stand as a scientifically challengeable theory explaining an in vitro-in vivo disconnect. It provides a framework to develop more reliable interpretations of in vitro observations, which then may be used to improve extrapolations.AbbreviationsaHPCanalog hepatocyteAPAPacetaminophenCVCentral VeinSSsinusoidal segmentNAPQIN-acetyl-p-benzoquinone iminemitoDmitochondrial damage productsnonMDnon-mitochondrial damage products

scholarly journals Integrating in vitro data and physiologically based kinetic (PBK) modelling to assess the in vivo potential developmental toxicity of a series of phenols

2016 ◽  
Vol 91 (5) ◽  
pp. 2119-2133 ◽  
Author(s):  
Marije Strikwold ◽  
Bert Spenkelink ◽  
Laura H. J. de Haan ◽  
Ruud A. Woutersen ◽  
Ans Punt ◽  
...  
Keyword(s):  
Developmental Toxicity ◽  
Physiologically Based ◽  
Vitro Data ◽  
In Vitro Data
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