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

Fanson, Kerry V., Best, Emily C., Bunce, Ashley, Fanson, Benjamin G., Hogan, Lindsay A., Keeley, Tamara, Narayan, Edward J., Palme, Rupert, Parrott, Marissa L., Sharp, Trudy M., Skogvold, Kim, Tuthill, Lisa, Webster, Koa N. and Bashaw, Meredith (2017) One size does not fit all: monitoring faecal glucocorticoid metabolites in marsupials. General and Comparative Endocrinology, 244 146-156. doi:10.1016/j.ygcen.2015.10.011

Author Fanson, Kerry V.
Best, Emily C.
Bunce, Ashley
Fanson, Benjamin G.
Hogan, Lindsay A.
Keeley, Tamara
Narayan, Edward J.
Palme, Rupert
Parrott, Marissa L.
Sharp, Trudy M.
Skogvold, Kim
Tuthill, Lisa
Webster, Koa N.
Bashaw, Meredith
Title One size does not fit all: monitoring faecal glucocorticoid metabolites in marsupials
Journal name General and Comparative Endocrinology   Check publisher's open access policy
ISSN 1095-6840
Publication date 2017-04-01
Year available 2015
Sub-type Article (original research)
DOI 10.1016/j.ygcen.2015.10.011
Open Access Status Not yet assessed
Volume 244
Start page 146
End page 156
Total pages 11
Place of publication Maryland Heights, MO, United States
Publisher Academic Press
Collection year 2018
Language eng
Formatted abstract
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 0.125–4.5 days 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.
Keyword Adrenal
Enzyme immunoassay
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Agriculture and Food Sciences
School of Biological Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 8 times in Thomson Reuters Web of Science Article | Citations
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