tissue.data | R Documentation |
This data set contains values from Schmitt (2008) and Ruark et al. (2014) describing the composition of specific tissues and from Birnbaum et al. (1994) describing volumes of and blood flows to those tissues, allowing parameterization of toxicokinetic models for human, mouse, rat, dog, or rabbit. Tissue volumes were calculated by converting the fractional mass of each tissue with its density (both from ICRP), lumping the remaining tissues into the rest-of-body, excluding the mass of the gastrointestinal contents.
tissue.data
A data.frame containing 406 rows and 5 columns.
Column | Description |
Tissue | The tissue being described |
Species | The species being described |
Reference | The reference for the value reported |
variable | The aspect of the tissue being characterized |
value | The value for the variable for the given tissue and species |
Many of the parameters were compiled initially in Table 2 of Schmitt (2009). The full list of tissue variables described is:
Variable | Description | Units |
Fcell | Cellular fraction of total tissue volume | fraction |
Fint | Interstitial fraction of total tissue volume | fraction |
FWc | Fraction of cell volume that is water | fraction |
FLc | Fraction of cell volume that is lipid | fraction |
FPc | Fraction of cell volume that is protein | fraction |
Fn_Lc | Fraction of cellular lipid tht is neutral lipid | fraction |
Fn_PLc | Fraction of cellular lipid tht is neutral phospholipid | fraction |
Fa_PLc | Fraction of cellular lipid tht is acidic phospholipid | fraction |
pH | Negative logarithm of H+ ion concentration | unitless |
Density | Tissue density | g/cm^3 |
Vol | Tissue volume | L/kg |
Flow | Blood flow to tissue | mL/min/kg^(3/4) |
New tissues can be added to this table to generate their partition coefficients.
John Wambaugh, Robert Pearce, and Nisha Sipes
birnbaum1994physiologicalhttk
\insertRefruark2014predictinghttk
\insertRefschmitt2008generalhttk
\insertRefsnyder1974reporthttk
\insertRefwambaugh2015toxicokinetichttk
predict_partitioning_schmitt
# We can add thyroid to the tissue data by making a row containing
# its data, subtracting the volumes and flows from the rest-of-body,
# and binding the row to tissue.data. Here we assume it contains the same
# partition coefficient data as the spleen and a tenth of the volume and
# blood flow:
new.tissue <- subset(tissue.data,Tissue == "spleen")
new.tissue[, "Tissue"] <- "thyroid"
new.tissue[new.tissue$variable %in% c("Vol (L/kg)",
"Flow (mL/min/kg^(3/4))"),"value"] <- new.tissue[new.tissue$variable
%in% c("Vol (L/kg)","Flow (mL/min/kg^(3/4))"),"value"] / 10
tissue.data[tissue.data$Tissue == "rest", "value"] <-
tissue.data[tissue.data$Tissue == "rest", "value"] -
new.tissue[new.tissue$variable %in% c("Vol (L/kg)",
"Flow (mL/min/kg^(3/4))"),"value"]
tissue.data <- rbind(tissue.data, new.tissue)
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