Data from: Hair and plasma cortisol throughout the first three years of development in infant rhesus macaques, Macaca mulatta
Data files
Nov 02, 2023 version files 65.56 KB
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FINAL_Bayesian_Annotated_Dryad.R
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FINAL_Hair_CORT.csv
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Plasma_Cort_Annotated_Dryad.R
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Plasma_CORT.csv
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README.md
Abstract
Cortisol expression has been demonstrated to have variation across development in rhesus macaques (Macaca mulatta). There exists contradictory evidence for the nature of this change, and age at which it occurs, across biological sample types. Consequently, we lack a cohesive understanding for cortisol concentrations across the development of a major human health translational model. We examined hair cortisol concentrations over the first three years of life for 49 mother-reared infant macaques from mixed-sex outdoor units at the California National Primate Research Center. For 48 of these subjects at infancy, one year, and two years, we obtained plasma cortisol samples for: response to a stressor, adjustment to prolonged stress, and response to dexamethasone injection. Hair cortisol concentrations decreased dramatically between three and ten months, followed by relative stability up to the final sampling event at around 34 months of age. Plasma cortisol showed within-year consistency, and consistency between infancy and year one. We document variability in the infant plasma cortisol samples, especially in percent change between samples one and two. Our plasma cortisol results indicate that infants possess the physiological capacity to effectively inhibit the release of cortisol when stimulated, as effectively as later responses in juveniles. Age-related changes in hair cortisol parallel findings indicating a large decline in the weeks following postparturation.
README: Hair and plasma cortisol throughout the first three years of development in infant rhesus macaques, Macaca mulatta
Alexander J. Pritchard, John P. Capitanio, Laura Del Rosso, Brenda McCowan, Jessica Vandeleest
Developmental Psychobiology (https://doi.org/10.1002/dev.22437)
We have included 2 data files and 2 R code files. The R code functions to read in the files and assembles output that was used to generate the figures and tables in the manuscript.
Description of the data and file structure
Two data files:
Plasma_CORT.csv has five data columns: a sequential subject ID, condition (which is a combined code of sample type and year of sample), CORT concentrations in ug/dL, sample, and year.
FINAL_Hair_CORT.csv has nine data columns: a sequential subject ID, sampling event (note, each ID was only subject to 1 BBA and 5 round-up collection events), Date of collection, CORT concentrations in pg/mg (the single NA was, as referenced in the manuscript: "was erroneously not rerun, despite an invalid reading" p. 4), average Max temperature in Celsius (over 7 days prior to collection), average Min temperature in Celsius (over 7 days prior to collection), age in days, birth cohort (column name = 'C'), and subject's sex.
Sharing/Access information
These data are to supplement the associated publication from Developmental Psychology.
Code/Software
The attached R code should import the relevant *.csv files to replicate the exact output and figures used in the manuscript. Use setwd() to direct R to the file folder where you have placed the datafiles. Code relies on multiple packages to execute (see library() functions in files).
Two analysis files:
Plasma_Cort_Annotated_Dryad.R imports in the plasma cort data and runs multiples tests/generates numerous figures.
FINAL_Bayesian_Annotated_Dryad.R imports in the hair cort data and runs a brms. There are a lot of models in here. Be wary of executing too much of this code at once, it will be quite slow! Follow annotation, where we added notes for why certain models were not used. Some outliers were omitted due to model fit.
Methods
These data were collected at the California National Primate Research Center from hair and plasma samples obtained from infants and juveniles housed in large outdoor mixed-sex social units.
Usage notes
Applications used are: *.csv reader, such as Microsoft Excel or LibreOffice Calc and R Software Environment.