Evidence map›Paper›PMID 31199925›Full record

ArticleGeneral and comparative endocrinology2019

Remote blubber sampling paired with liquid chromatography tandem mass spectrometry for steroidal endocrinology in free-ranging bottlenose dolphins (Tursiops truncatus).

Ashley S P Boggs, Jared M Ragland, Eric S Zolman, Tracey B Schock, Jeanine S Morey, Thomas M Galligan, Greta Dalle Luche, Brian C Balmer, Randall S Wells, John R Kucklick and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in General and comparative endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 24 citations in OpenAlex.

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  11. Health Assessments of Common Bottlenose Dolphins (Frontiers in veterinary science · 2019
    Review
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

11 authors at 6 institutions in 2 countries.

Ashley S P BoggsNational Institute of Standards and Technology, Hollings Marine Laboratory, 331 Fort Johnson Road, Charleston, SC 29412, USA. Electronic address: ashley.boggs@nist.gov.
Jared M RaglandNational Institute of Standards and Technology, Hollings Marine Laboratory, 331 Fort Johnson Road, Charleston, SC 29412, USA.
Eric S ZolmanNational Marine Mammal Foundation, 3419 Maybank Highway, Ste B, Johns Island, SC 29455, USA.
Tracey B SchockNational Institute of Standards and Technology, Hollings Marine Laboratory, 331 Fort Johnson Road, Charleston, SC 29412, USA.
Jeanine S MoreyNational Marine Mammal Foundation, 3419 Maybank Highway, Ste B, Johns Island, SC 29455, USA.
Thomas M GalliganMedical University of South Carolina, Hollings Marine Laboratory, 331 Fort Johnson Road, Charleston, SC 29412, USA; JHT, Inc. under contract to the National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Service, Hollings Marine Laboratory, 331 Fort Johnson Road, Charleston, SC 29412, USA; Virginia Polytechnic Institute and State University, Department of Fish and Wildlife Conservation, 101 Cheatham Hall, 310 West Campus Drive, Blacksburg, VA 24060, USA.
Greta Dalle LucheGriffith University, Environmental Futures Research Institute, Southern Ocean Persistent Organic Pollutants Program, 170 Kessels Road, Brisbane, QLD 4111, Australia.
Brian C BalmerNational Marine Mammal Foundation, 3419 Maybank Highway, Ste B, Johns Island, SC 29455, USA.
Randall S WellsChicago Zoological Society's Sarasota Dolphin Research Program, c/o Mote Marine Laboratory, 1600 Ken Thompson Pkwy, Sarasota, FL 34236, USA.
John R KucklickNational Institute of Standards and Technology, Hollings Marine Laboratory, 331 Fort Johnson Road, Charleston, SC 29412, USA.
Lori H SchwackeNational Marine Mammal Foundation, 3419 Maybank Highway, Ste B, Johns Island, SC 29455, USA.
National Marine Mammal Foundation · USNational Institute of Standards and Technology · USNCCOS Hollings Marine Laboratory · USGriffith University · AUMote Marine Laboratory · USVirginia Tech · US

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Liquid chromatography tandem mass spectrometry allows for the measurement of steroid hormone suites in the blubber of marine mammals. By combining this technology with minimally invasive techniques such as remote biopsy, endocrine profiles can be assessed, allowing for studies of hormonal profile variation over time. In this study, we explored associations among different steroidogenic pathways and seasonal differences in blubber hormone profiles of free-ranging common bottlenose dolphins along the coast of South Carolina, USA. Male dolphins experience a peak in testosterone, androstenedione, progesterone, and 17-hydroxyprogesterone in the spring, likely related to an upregulation of the androgen steroidogenic pathway during mating season. We also observed increased cortisol concentrations during summer compared to winter. Among females, there was an increase in androstenedione with elevated progesterone concentrations indicative of pregnancy, highlighting another potential endocrine marker for pregnancy in free-ranging dolphins. This work emphasizes the importance of selecting the appropriate season for studies on endocrine status to effectively uncover physiological variation or disruption in free-ranging cetaceans.

Indexed as

Adipose TissueAdrenal Cortex HormonesAnimalsBottle-Nosed DolphinChromatography, LiquidEndocrine SystemFemaleGeographyMalePregnancyQuality ControlReproductionSeasonsSteroidsTandem Mass SpectrometryAdrenal Cortex HormonesSteroidsBlubberCetaceanHormonesRemote biopsyReproductive steroidsStress

Identifiers

PMID31199925
PMCPMC6990413
OpenAlexW2949522566

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.