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One size does not fit all : monitoring faecal glucocorticoid metabolites in marsupials

Fanson, Kerry, Best, EC, Bunce, A, Fanson, Benjamin, Hogan, LA, Keeley, T, Narayan, EJ, Palme, R, Parrott, ML, Sharp, TM, Skogvold, K, Tuthill, L, Webster, KN and Bashaw, M 2017, One size does not fit all : monitoring faecal glucocorticoid metabolites in marsupials, General and comparative endocrinology, vol. 244, pp. 146-156, doi: 10.1016/j.ygcen.2015.10.011.

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Title One size does not fit all : monitoring faecal glucocorticoid metabolites in marsupials
Author(s) Fanson, KerryORCID iD for Fanson, Kerry orcid.org/0000-0001-9372-2018
Best, EC
Bunce, A
Fanson, Benjamin
Hogan, LA
Keeley, T
Narayan, EJ
Palme, R
Parrott, ML
Sharp, TM
Skogvold, K
Tuthill, L
Webster, KN
Bashaw, M
Journal name General and comparative endocrinology
Volume number 244
Start page 146
End page 156
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017-04-01
ISSN 0016-6480
1095-6840
Keyword(s) adrenal
corticosterone
cortisol
enzyme immunoassay
non-invasive
validation
Summary Marsupial research, conservation, and management can benefit greatly from knowledge about glucocorticoid (GC) secretion patterns because GCs influence numerous aspects of physiology and play a crucial role in regulating an animal's response to stressors. Faecal glucocorticoid metabolites (FGM) offer a non-invasive tool for tracking changes in GCs over time. To date, there are relatively few validated assays for marsupials compared with other taxa, and those that have been published generally test only one assay. However, different assays can yield very different signals of adrenal activity. The goal of this study was to compare the performance of five different enzyme immunoassays (EIAs) for monitoring adrenocortical activity via FGM in 13 marsupial species. We monitored FGM response to two types of events: biological stressors (e.g., transport, novel environment) and pharmacological stimulation (ACTH injection). For each individual animal and assay, FGM peaks were identified using the iterative baseline approach. Performance of the EIAs for each species was evaluated by determining (1) the percent of individuals with a detectable peak 0.125-4.5days post-event, and (2) the biological sensitivity of the assay as measured by strength of the post-event response relative to baseline variability (Z-score). Assays were defined as successful if they detected a peak in at least 50% of the individuals and the mean species response had a Z⩾2. By this criterion, at least one assay was successful in 10 of the 13 species, but the best-performing assay varied among species, even those species that were closely related. Furthermore, the ability to confidently assess assay performance was influenced by the experimental protocols used. We discuss the implications of our findings for biological validation studies.
Language eng
DOI 10.1016/j.ygcen.2015.10.011
Field of Research 0608 Zoology
0606 Physiology
0707 Veterinary Sciences
Socio Economic Objective 970106 Expanding Knowledge in the Biological Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30080068

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