Evidence map›Paper›PMID 42662050›Full record

ArticleEcology and evolution2026

Corticosterone Concentration Varies With Metabolic Rate in Vertebrates.

Alyson R Wisnionski, Catherine G Haase, Isabella Dy, Kyle Hudson, James F Gillooly

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alyson R WisnionskiDepartment of Biology University of Florida Gainesville Florida USA.ORCID https://orcid.org/0009-0007-3956-2392
Catherine G HaaseDepartment of Biology Austin Peay State University Clarksville Tennessee USA.ORCID https://orcid.org/0000-0002-7682-0625
Isabella DyDepartment of Biology University of Florida Gainesville Florida USA.
Kyle HudsonDepartment of Biology University of Florida Gainesville Florida USA.
James F GilloolyDepartment of Biology University of Florida Gainesville Florida USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the adaptive or maladaptive effects of physiological stress based on glucocorticoid hormone levels remains a challenge in vertebrates. It remains unclear to what extent these measures capture the multi-dimensional nature of physiological stress, how to compare measures across species, and how to quantify the cumulative effects of stress on health or longevity. To address these issues, we aim to characterize the relationship of glucocorticoid hormone levels to body mass, metabolic rate, and lifespan across species of vertebrates. Specifically, we focus on investigating these relationships for the glucocorticoid hormone corticosterone using data from 160 species of reptiles, birds, and mammals. Results from each vertebrate class show that plasma corticosterone increases with mass-specific metabolic rate and declines with increasing body mass like mass-specific metabolic rate. Moreover, across classes, a strong, positive relationship was observed between elevated and baseline corticosterone values. However, no relationship was observed between corticosterone levels and lifespan after removing the effects of metabolic rate. These results suggest that measures of corticosterone across species largely reflect differences in rates of species' energy use. Understanding to what extent corticosterone is linked to individual energetics represents a step forward in developing a conceptual and quantitative framework for linking stress, energetics, and life-history traits across species.

Indexed as

allometric scalingglucocorticoidsmetabolic theoryphysiological stressstress hormones

Identifiers

PMID42662050
PMCPMC13519521

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.