Evidence map›Paper›PMID 38685627›Full record

ArticleBiology of reproduction2024

Comparison of assay methods for quantifying sex hormone concentrations across the menstrual cycle in rhesus macaques†.

Kristopher M Fecteau, Andrea J Winchell, Steven W Blue, Maria Luisa Appleman, Henryk F Urbanski, David W Erikson

Abstract readComparative Study
In one paragraph

Article in Biology of reproduction, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Chronic ethanol self-administration alters dopamine in the caudate nucleus and putamen of rhesus macaques in a sex-dependent manner.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
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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

6 authors.

Kristopher M FecteauEndocrine Technologies Core, Oregon National Primate Research Center, Beaverton, OR, USA.
Andrea J WinchellEndocrine Technologies Core, Oregon National Primate Research Center, Beaverton, OR, USA.
Steven W BlueEndocrine Technologies Core, Oregon National Primate Research Center, Beaverton, OR, USA.
Maria Luisa ApplemanDivision of Neuroscience, Oregon National Primate Research Center, Beaverton, OR, USA.
Henryk F UrbanskiDivision of Neuroscience, Oregon National Primate Research Center, Beaverton, OR, USA.
David W EriksonEndocrine Technologies Core, Oregon National Primate Research Center, Beaverton, OR, USA.ORCID 0000-0002-3383-9297

Funding

Upgrade of confocal microscopy at the Oregon National Primate Research CenterP51OD011092 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI Bonnie J. Nagel · 2012 to 2026
$203.9M
Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KEVIN M DUFF, Lisa C Silbert · 2020 to 2026
$28.6M
Age-Associated Modulation of Gene Expression in the CNSRF1AG062220 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI URBANSKI, HENRYK F · 2018 to 2018
$3.4M
Reversible Contraception by Selective Silencing of GnRH-IIR01HD098200 · NICHD · OREGON HEALTH & SCIENCE UNIVERSITY · PI URBANSKI, HENRYK F · 2019 to 2022
$2.1M
Analysis of hormones in nonhuman primate samples using liquid chromatography-tandem triple quadrupole mass spectrometry (LC-MS/MS)S10OD026701 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ERIKSON, DAVID WILLIAM · 2019 to 2019
$385k
NIA NIH HHS P30 AG066518NIA NIH HHS RF1 AG062220NICHD NIH HHS R01 HD098200NIH HHS P51 OD011092NIH HHS S10 OD026701
6 · The paper itself

Abstract

Immunoassays have been the preferred method for steroid hormone analysis for more than 50 years. Automated immunoassays (AIAs) offer high throughput, rapid data turnaround, and low cost for measuring steroid hormone concentrations. The application of liquid chromatography-tandem mass spectrometry (LC-MS/MS) for steroid quantification provides greater specificity and selectivity for individual steroids, the ability to simultaneously analyze multiple steroids, and high throughput and automation. We compared AIA and LC-MS/MS for analysis of 17beta-estradiol (E2) and progesterone (P4) over the course of several menstrual cycles in 12 rhesus macaques (Macaca mulatta). Serum samples were collected every 4 days across four menstrual cycles from each monkey. AIAs were performed on a Roche cobas e411 analyzer. LC-MS/MS analysis was performed on a Shimadzu-Nexera-LCMS-8060 instrument. Scatter plots with Passing-Bablok regression showed excellent agreement between AIA and LC-MS/MS for both E2 and P4. Bland-Altman plots revealed no bias for either method; however, AIA overestimated E2 at concentrations >140 pg/ml and underestimated P4 at concentrations >4 ng/ml compared to LC-MS/MS. A comparison of testosterone concentrations measured by AIA and LC-MS/MS in the same samples was also performed. In contrast to E2 and P4, AIA and LC-MS/MS yielded significantly different results for testosterone concentrations, with AIA consistently underestimating concentrations relative to those obtained by LC-MS/MS. Well-characterized automated immunoassays are an excellent tool for daily monitoring of monkey menstrual cycles or providing single data points requiring fast turnaround. In certain situations where AIAs may provide inaccurate estimations of E2 and P4 concentrations, LC-MS/MS assays are preferable.

Indexed as

EstradiolMacaca mulattaMenstrual CycleProgesteroneTandem Mass SpectrometryAnimalsChromatography, LiquidFemaleGonadal Steroid HormonesImmunoassayEstradiolGonadal Steroid HormonesProgesteroneimmunoassayLC-MS/MSmenstrual cyclenonhuman primatesteroid hormone

Identifiers

PMID38685627
PMCPMC11327312

What OpenQuestion holds

Textmetadata
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.