armitage_eval {httk}R Documentation

Evaluate the updated Armitage model

Description

Evaluate the Armitage model for chemical distributon in vitro. Takes input as data table or vectors of values. Outputs a data table. Updates over the model published in Armitage et al. (2014) include binding to plastic walls and lipid and protein compartments in cells.

Usage

armitage_eval(
  chem.cas = NULL,
  chem.name = NULL,
  dtxsid = NULL,
  casrn.vector = NA_character_,
  nomconc.vector = 1,
  this.well_number = 384,
  this.FBSf = NA_real_,
  tcdata = NA,
  this.sarea = NA_real_,
  this.v_total = NA_real_,
  this.v_working = NA_real_,
  this.cell_yield = NA_real_,
  this.Tsys = 37,
  this.Tref = 298.15,
  this.option.kbsa2 = FALSE,
  this.option.swat2 = FALSE,
  this.pseudooct = 0.01,
  this.memblip = 0.04,
  this.nlom = 0.2,
  this.P_nlom = 0.035,
  this.P_dom = 0.05,
  this.P_cells = 1,
  this.csalt = 0.15,
  this.celldensity = 1,
  this.cellmass = 3,
  this.f_oc = 1,
  this.conc_ser_alb = 24,
  this.conc_ser_lip = 1.9,
  this.Vdom = 0,
  this.pH = 7,
  restrict.ion.partitioning = FALSE
)

Arguments

chem.cas

A single or vector of Chemical Abstracts Service Registry Number(s) (CAS-RN) of desired chemical(s).

chem.name

A single or vector of name(s)) of desired chemical(s).

dtxsid

A single or vector ofEPA's DSSTox Structure ID(s) (https://comptox.epa.gov/dashboard)

casrn.vector

A deprecated argument specifying a single or vector of Chemical Abstracts Service Registry Number(s) (CAS-RN) of desired chemical(s).

nomconc.vector

For vector or single value, micromolar (uM = mol/L) nominal concentration (e.g. AC50 value)

this.well_number

For single value, plate format default is 384, used if is.na(tcdata)==TRUE. This value chooses default surface area settings for armitage_estimate_sarea based on the number of plates per well.

this.FBSf

Fraction fetal bovine serum, must be entered by user.

tcdata

A data.table with casrn, nomconc, MP, gkow, gkaw, gswat, sarea, v_total, v_working. Otherwise supply single values to this.params (e.g., this.sarea, this.v_total, etc.). Chemical parameters are taken from chem.physical_and_invitro.data.

this.sarea

Surface area per well (m^2)

this.v_total

Total volume per well (uL)

this.v_working

Working volume per well (uL)

this.cell_yield

Number of cells per well

this.Tsys

System temperature (degrees C)

this.Tref

Reference temperature (degrees K)

this.option.kbsa2

Use alternative bovine-serum-albumin partitioning model

this.option.swat2

Use alternative water solubility correction

this.pseudooct

Pseudo-octanol cell storage lipid content

this.memblip

Membrane lipid content of cells

this.nlom

Structural protein content of cells

this.P_nlom

Proportionality constant to octanol structural protein

this.P_dom

Proportionality constant to dissolve organic material

this.P_cells

Proportionality constant to octanol storage lipid

this.csalt

Ionic strength of buffer (M = mol/L)

this.celldensity

Cell density kg/L, g/mL

this.cellmass

Mass per cell, ng/cell

this.f_oc

Everything assumed to be like proteins

this.conc_ser_alb

Mass concentration of albumin in serum (g/L)

this.conc_ser_lip

Mass concentration of lipids in serum (g/L)

this.Vdom

0 ml, the volume of dissolved organic matter (DOM)

this.pH

7.0, pH of cell culture

restrict.ion.partitioning

FALSE, Should we restrict the chemical available to partition to only the neutral fraction?

Value

Param Description Units
casrn Chemical Abstracts Service Registry Number character
nomconc Nominal Concentration uM=umol/L
well_number Number of wells in plate (used to set default surface area) unitless
sarea Surface area of well m^2
v_total Total volume of well uL
v_working Filled volume of well uL
cell_yield Number of cells cells
gkow The log10 octanol to water (PC) (logP) log10 unitless ratio
logHenry The log10 Henry's law constant ' log10 unitless ratio
gswat The log10 water solubility (logWSol) log10 mg/L
MP The chemical compound melting point degrees Kelvin
MW The chemical compound molecular weight g/mol
gkaw The air to water PC unitless ratio
dsm
duow
duaw
dumw
gkmw log10
gkcw The log10 cell/tissue to water PC log10 unitless ratio
gkbsa The log10 bovine serum albumin to water partitiion coefficient unitless
gkpl log10
ksalt Setschenow constant L/mol
Tsys System temperature degrees C
Tref Reference temperature degrees K
option.kbsa2 Use alternative bovine-serum-albumin partitioning model logical
option.swat2 Use alternative water solubility correction logical
FBSf Fraction fetal bovine serum unitless
pseudooct Pseudo-octanol cell storage lipid content
memblip Membrane lipid content of cells
nlom Structural protein content of cells
P_nlom Proportionality constant to octanol structural protein unitless
P_dom Proportionality constant to dissolved organic material (DOM) unitless
P_cells Proportionality constant to octanol storage lipid unitless
csalt Ionic strength of buffer M=mol/L
celldensity Cell density kg/L, g/mL
cellmass Mass per cell ng/cell
f_oc
cellwat
Tcor
Vm Volume of media L
Vwell Volume of medium (aqueous phase only) L
Vair Volume of head space L
Vcells Volume of cells/tissue L
Valb Volume of serum albumin L
Vslip Volume of serum lipids L
Vdom Volume of dissolved organic matter L
F_ratio
gs1.GSE
s1.GSE
gss.GSE
ss.GSE
kmw
kow The octanol to water PC (i.e., 10^gkow) unitless
kaw The air to water PC (i.e., 10^gkaw) unitless
swat The water solubility (i.e., 10^gswat) mg/L
kpl
kcw The cell/tissue to water PC (i.e., 10^gkcw) unitless
kbsa The bovine serum albumin to water PC unitless
swat_L
soct_L
scell_L
cinit Initial concentration uM=umol/L
mtot Total micromoles umol
cwat Total concentration in water uM=umol/L
cwat_s Dissolved concentration in water uM=umol/L
csat Is the solution saturated (1/0) logical
activity
cair Concentration in head space uM=umol/L
calb Concentration in serum albumin uM=umol/L
cslip Concentration in serum lipids uM=umol/L
cdom Concentration in dissolved organic matter uM=umol/L
ccells Concentration in cells uM=umol/L
cplastic Concentration in plastic uM=umol/m^2
mwat_s Mass dissolved in water umols
mair Mass in air/head space umols
mbsa Mass bound to bovine serum albumin umols
mslip Mass bound to serum lipids umols
mdom Mass bound to dissolved organic matter umols
mcells Mass in cells umols
mplastic Mass bond to plastic umols
mprecip Mass precipitated out of solution umols
xwat_s Fraction dissolved in water fraction
xair Fraction in the air fraction
xbsa Fraction bound to bovine serum albumin fraction
xslip Fraction bound to serum lipids fraction
xdom Fraction bound to dissolved organic matter fraction
xcells Fraction within cells fraction
xplastic Fraction bound to plastic fraction
xprecip Fraction precipitated out of solution fraction
eta_free Effective availability ratio fraction
cfree.invitro Free concentration in the in vitro media (use for Honda1 and Honda2) fraction

Author(s)

Greg Honda

References

Armitage, J. M.; Wania, F.; Arnot, J. A. Environ. Sci. Technol. 2014, 48, 9770-9779. https://doi.org/10.1021/es501955g

Honda GS, Pearce RG, Pham LL, Setzer RW, Wetmore BA, Sipes NS, Gilbert J, Franz B, Thomas RS, Wambaugh JF (2019). “Using the concordance of in vitro and in vivo data to evaluate extrapolation assumptions.” PloS one, 14(5), e0217564.

Examples


library(httk)

# Check to see if we have info on the chemical:
"80-05-7" %in% get_cheminfo()

#We do:
temp <- armitage_eval(casrn.vector = c("80-05-7", "81-81-2"), this.FBSf = 0.1,
this.well_number = 384, nomconc = 10)
print(temp$cfree.invitro)

# Check to see if we have info on the chemical:
"793-24-8" %in% get_cheminfo()

# Since we don't have any info, let's look up phys-chem from dashboard:
cheminfo <- data.frame(
  Compound="6-PPD",
  CASRN="793-24-8",
  DTXSID="DTXSID9025114",
  logP=4.27, 
  logHenry=log10(7.69e-8),
  logWSol=log10(1.58e-4),
  MP=	99.4,
  MW=268.404
  )
  
# Add the information to HTTK's database:
chem.physical_and_invitro.data <- add_chemtable(
 cheminfo,
 current.table=chem.physical_and_invitro.data,
 data.list=list(
 Compound="Compound",
 CAS="CASRN",
  DTXSID="DTXSID",
  MW="MW",
  logP="logP",
  logHenry="logHenry",
  logWSol="logWSol",
  MP="MP"),
  species="Human",
  reference="CompTox Dashboard 31921")

# Run the Armitage et al. (2014) model:
out <- armitage_eval(
  casrn.vector = "793-24-8", 
  this.FBSf = 0.1,
  this.well_number = 384, 
  nomconc = 10)
  
print(out)


[Package httk version 2.3.1 Index]