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httk (version 2.1.0)

calc_mc_oral_equiv: Calculate Monte Carlo Oral Equivalent Dose

Description

This functions converts a chemical plasma concetration to an oral equivalent dose using a concentration obtained from calc_mc_css.

Usage

calc_mc_oral_equiv(
  conc,
  chem.name = NULL,
  chem.cas = NULL,
  dtxsid = NULL,
  which.quantile = 0.95,
  species = "Human",
  input.units = "uM",
  output.units = "mgpkgpday",
  suppress.messages = FALSE,
  return.samples = FALSE,
  concentration = "plasma",
  restrictive.clearance = TRUE,
  bioactive.free.invivo = FALSE,
  tissue = NULL,
  IVIVE = NULL,
  ...
)

Value

Equivalent dose in specified units, default of mg/kg BW/day.

Arguments

conc

Bioactive in vitro concentration in units of uM.

chem.name

Either the chemical name or the CAS number must be specified.

chem.cas

Either the CAS number or the chemical name must be specified.

dtxsid

EPA's 'DSSTox Structure ID (https://comptox.epa.gov/dashboard) the chemical must be identified by either CAS, name, or DTXSIDs

which.quantile

Which quantile from Monte Carlo steady-state simulation (calc_mc_css) is requested. Can be a vector. Note that 95th concentration quantile is the same population as the 5th dose quantile.

species

Species desired (either "Rat", "Rabbit", "Dog", "Mouse", or default "Human").

input.units

Units of given concentration, default of uM but can also be mg/L.

output.units

Units of dose, default of 'mgpkgpday' for mg/kg BW/ day or 'umolpkgpday' for umol/ kg BW/ day.

suppress.messages

Suppress text messages.

return.samples

Whether or not to return the vector containing the samples from the simulation instead of the selected quantile.

concentration

Desired concentration type, 'blood','tissue', or default 'plasma'.

restrictive.clearance

Protein binding not taken into account (set to 1) in liver clearance if FALSE.

bioactive.free.invivo

If FALSE (default), then the total concentration is treated as bioactive in vivo. If TRUE, the the unbound (free) plasma concentration is treated as bioactive in vivo. Only works with tissue = NULL in current implementation.

tissue

Desired steady state tissue conentration.

IVIVE

Honda et al. (2019) identified six plausible sets of assumptions for in vitro-in vivo extrapolation (IVIVE) assumptions. Argument may be set to "Honda1" through "Honda6". If used, this function overwrites the tissue, restrictive.clearance, and plasma.binding arguments. See Details below for more information.

...

Additional parameters passed to calc_mc_css for httkpop and variance of parameters.

Author

John Wambaugh

Details

All arguments after httkpop only apply if httkpop is set to TRUE and species to "Human".

When species is specified as rabbit, dog, or mouse, the function uses the appropriate physiological data(volumes and flows) but substitutes human fraction unbound, partition coefficients, and intrinsic hepatic clearance.

Tissue concentrations are calculated for the pbtk model with oral infusion dosing. All tissues other than gut, liver, and lung are the product of the steady state plasma concentration and the tissue to plasma partition coefficient.

The six sets of plausible in vitro-in vivo extrapolation (IVIVE) assumptions identified by Honda et al. (2019) are:

in vivo Conc.Metabolic ClearanceBioactive Chemical Conc.TK Statistic Used*
Honda1Veinous (Plasma)RestrictiveFreeMean Conc.
Honda2VeinousRestrictiveFreeMax Conc.
Honda3VeinousNon-restrictiveTotalMean Conc.
Honda4VeinousNon-restrictiveTotalMax Conc.
Honda5Target TissueNon-restrictiveTotalMean Conc.
Honda6Target TissueNon-restrictiveTotalMax Conc.

*Assumption is currently ignored because analytical steady-state solutions are currently used by this function.

References

Wetmore, Barbara A., et al. "Incorporating high-throughput exposure predictions with dosimetry-adjusted in vitro bioactivity to inform chemical toxicity testing." Toxicological Sciences 148.1 (2015): 121-136.

Ring, Caroline L., et al. "Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability." Environment international 106 (2017): 105-118.

Honda, Gregory S., et al. "Using the Concordance of In Vitro and In Vivo Data to Evaluate Extrapolation Assumptions." 2019. PLoS ONE 14(5): e0217564.

Rowland, Malcolm, Leslie Z. Benet, and Garry G. Graham. "Clearance concepts in pharmacokinetics." Journal of pharmacokinetics and biopharmaceutics 1.2 (1973): 123-136.

Examples

Run this code


# \donttest{
calc_mc_oral_equiv(0.1,chem.cas="34256-82-1",which.quantile=c(0.05,0.5,0.95),
       tissue='brain')
# }

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