Sources of variation in hair cortisol in wild and captive non-human primates.

TitleSources of variation in hair cortisol in wild and captive non-human primates.
Publication TypeJournal Article
Year of Publication2016
AuthorsFourie, NH, Brown, JL, Jolly, CJ, Phillips-Conroy, JE, Rogers, J, Bernstein, RM
JournalZoology (Jena)
Volume119
Issue2
Pagination119-25
Date Published2016 Apr
ISSN1873-2720
KeywordsAge Factors, Animals, Animals, Wild, Animals, Zoo, Chemistry Techniques, Analytical, Female, Hair, Hydrocortisone, Male, Primates, Sex Factors, Sonication
Abstract

Hair cortisol analysis is a potentially powerful tool for evaluating adrenal function and chronic stress. However, the technique has only recently been applied widely to studies of wildlife, including primates, and there are numerous practical and technical factors that should be considered to ensure good quality data and the validity of results and conclusions. Here we report on various intrinsic and extrinsic sources of variation in hair cortisol measurements in wild and captive primates. Hair samples from both wild and captive primates revealed that age and sex can affect hair cortisol concentrations; these effects need to be controlled for when making comparisons between individual animals or populations. Hair growth rates also showed considerable inter-specific variation among a number of primate species. We describe technical limitations of hair analyses and variation in cortisol concentrations as a function of asynchronous hair growth, anatomical site of collection, and the amount and numbers of hair/s used for cortisol extraction. We discuss these sources of variation and their implications for proper study design and interpretation of results.

DOI10.1016/j.zool.2016.01.001
Alternate JournalZoology (Jena)
PubMed ID26884274

Similar Publications

Schlosser P, Zhang J, Liu H, Surapaneni AL, Rhee EP, Arking DE, et al.. Transcriptome- and proteome-wide association studies nominate determinants of kidney function and damage. Genome Biol. 2023;24(1):150.
Chin C-S, Behera S, Khalak A, Sedlazeck FJ, Sudmant PH, Wagner J, et al.. Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes. Nat Methods. 2023;20(8):1213-1221.
Harris RA, McAllister JM, Strauss JF. Single-Cell RNA-Seq Identifies Pathways and Genes Contributing to the Hyperandrogenemia Associated with Polycystic Ovary Syndrome. Int J Mol Sci. 2023;24(13).
Lu J, Zheng KQ, Bertrand RElaine, Quinlan J, Ferdous S, Srinivasan T, et al.. Gene augmentation therapy to rescue degenerative photoreceptors in a Cwc27 mutant mouse model. Exp Eye Res. 2023;234:109596.
Calame DG, Guo T, Wang C, Garrett L, Jolly A, Dawood M, et al.. Monoallelic variation in DHX9, the gene encoding the DExH-box helicase DHX9, underlies neurodevelopment disorders and Charcot-Marie-Tooth disease. Am J Hum Genet. 2023;110(8):1394-1413.
Qian X, Srinivasan T, He J, Lu J, Jin Y, Gu H, et al.. Ceramide compensation by ceramide synthases preserves retinal function and structure in a retinal dystrophy mouse model. Dis Model Mech. 2023;16(7).
Sisoudiya SDushyant, Mishra P, Li H, Schraw JM, Scheurer ME, Salvi S, et al.. Identification of USP9X as a leukemia susceptibility gene. Blood Adv. 2023;7(16):4563-4575.
Yang L, Chen X, Lee C, Shi J, Lawrence EB, Zhang L, et al.. Functional characterization of age-dependent p16 epimutation reveals biological drivers and therapeutic targets for colorectal cancer. J Exp Clin Cancer Res. 2023;42(1):113.
Shao Y, Zhou L, Li F, Zhao L, Zhang B-L, Shao F, et al.. Phylogenomic analyses provide insights into primate evolution. Science. 2023;380(6648):913-924.
Kuderna LFK, Gao H, Janiak MC, Kuhlwilm M, Orkin JD, Bataillon T, et al.. A global catalog of whole-genome diversity from 233 primate species. Science. 2023;380(6648):906-913.