Evidence map›Paper›PMID 41397005›Full record

ArticlePloS one2025

Estrogen profiling in blood and brain: Effects of season and an aggressive interaction in a songbird.

Cecilia Jalabert, Megan Q Liu, Kiran K Soma

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

3 authors.

Cecilia JalabertDepartment of Zoology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0002-4165-7610
Megan Q LiuDjavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada.
Kiran K SomaDepartment of Zoology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0003-2169-8092

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroestrogens are synthesized in the brain and regulate social behavior and cognition. In the song sparrow (Melospiza melodia), 17β-estradiol (17β-E2) promotes aggression, even during the non-breeding season, when circulating 17β-E2 levels are non-detectable. Measuring estrogens is challenging due to their low concentrations and the limited sensitivity of many existing assays. Moreover, estrogens other than 17β-E2 are often overlooked. Here, we developed a liquid chromatography tandem mass spectrometry (LC-MS/MS) assay for the simultaneous measurement of eleven estrogens using derivatization with 1,2-dimethylimidazole-5-sulfonyl-chloride (DMIS) to enhance sensitivity. We included four 13C-labeled internal standards, which corrected for matrix effects when measuring catecholestrogens and methoxyestrogens. This method is highly specific, sensitive, accurate, and precise, and improves upon our prior protocol, which could measure four estrogens with a single deuterated internal standard. Then, we applied the new method to samples from free-living adult male song sparrows to assess the effects of season and an aggressive encounter on blood and brain estrogens. Subjects were randomly assigned to either a 10-min simulated territorial intrusion (STI; song playback and live decoy) or a control condition (silent speaker and empty cage) during the breeding or non-breeding season, followed by rapid capture and immediate collection of blood and brain tissue. Only estrone and 17β-E2 were present in blood and brain, while the other nine estrogens in the panel were below detection limits. As expected, there was large regional variation in neuroestrogen levels and very low estrogen levels in blood. There was also large seasonal variation, and estrogen levels were lower in the non-breeding season. Despite robust aggression to the STI, estrogen levels did not differ between STI and control subjects in either season. In sum, our novel method enables ultrasensitive measurement of eleven estrogens and will be useful for studies of songbirds and other animals.

Indexed as

AggressionBrainEstrogensSeasonsSongbirdsSparrowsAnimalsChromatography, LiquidEstradiolMaleTandem Mass SpectrometryEstradiolEstrogens

Identifiers

PMID41397005
PMCPMC12704853

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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.