Evidence map›Paper›PMID 36798326›Full record

ArticlebioRxiv : the preprint server for biology2025

Arthur P Arnold, Xuqi Chen, Michael N Grzybowski, Janelle M Ryan, Dale R Sengelaub, Tara Mohanroy, V Andree Furlan, Helen R Schmidtke, Jeremy W Prokop, Monika Tutaj and 17 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 5 institutions in 2 countries.

Xuqi Chen
Michael N Grzybowski
Janelle M Ryan
Dale R Sengelaub
Tara Mohanroy
V Andree Furlan
Helen R Schmidtke
Jeremy W Prokop
Monika Tutaj
William Grisham
Shanie Landen
Lynn Malloy
Akiko Takizawa
Julia L Ciosek
Kai Li
Theodore S Kalbfleisch
Hayk Barseghyan
Carrie B Wiese
Laurent Vergnes
Karen Reue
Helen Skaletsky
Melinda R Dwinell
Aron M Geurts
University of California, Los Angeles · USMedical College of Wisconsin · USHoward Hughes Medical Institute · USMonash Medical Centre · AUIndiana University Bloomington · US

Funding

Transformative rat models to study sex differences in diseaseR01OD030496 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARNOLD, ARTHUR P, DWINELL, MELINDA R · 2021 to 2025
$3.1M
Sry transgenic rats for investigation of XX vs. XY differences in phenotypesR21OD026560 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARNOLD, ARTHUR P, DWINELL, MELINDA R · 2018 to 2019
$440k
NIH HHS R01 OD030496NIH HHS R21 OD026560
6 · The paper itself

Abstract

Background: Previous research on Four Core Genotypes and XY* mice has been instrumental in establishing important effects of sex-chromosome complement that cause sex differences in physiology and disease. We have generated rat models using similar modifications of the testis-determining gene Methods: XY rats were created with an autosomal transgene of Results: We measured numerous phenotypes to characterize these models, including gonadal histology, breeding performance, anogenital distance, levels of reproductive hormones, body and organ weights, and central nervous system sexual dimorphisms. Serum testosterone levels were comparable in adult XX and XY gonadal males. Phenotypes previously known to be sexually differentiated by the action of gonadal hormones were found to be similar in XX and XY rats with the same type of gonad, suggesting that XX and XY rats with the same type of gonad have comparable levels of gonadal hormones at various stages of development. Conclusion: The results establish powerful new models to discriminate sex-chromosome and gonadal hormone effects that cause sexual differences in rat physiology and disease. Plain English Summary: The Four Core Genotypes and XY* mouse models have been broadly useful for determining if sex differences in any mouse phenotype are caused by gonadal hormones, or by sex-chromosome complement (XX vs. XY), and if sex-chromosome effects are caused by X- or Y-linked mechanisms. Using gene knockout and transgenic methods, we have produced laboratory rat models that offer similar capabilities. The new rat models allow investigators to test with relative ease, for the first time, if a sex difference in a rat trait is caused by effects of XX vs. XY sex chromosomes, not mediated by effects of gonadal hormones, and to narrow the search for X or Y genes that have that role. The models produce XO, XX, XY, and XXY rats with ovaries, and XO, XX, XY, XXY, and XYY rats with testes. The four XX and XY groups represent a Four Core Genotypes rat model, comparison of which tests for sex-chromosome and gonadal hormonal effects that cause female and male rats to have different physiological or disease traits. Moreover, comparison of rats with different numbers of X chromosomes, or of Y chromosomes, but with the same type of gonad, provides evidence regarding the effects of X or Y dosage on rat traits. The new models will improve understanding of the impact of sex chromosomes on diseases or traits that are best modeled in rats. They will also improve understanding of the evolution of functional roles of sex chromosomes. Highlights: It is advantageous to establish the factors that cause sex differences in diseases, because those factors mitigate or exacerbate diseases. We have produced new laboratory rats that have different types and numbers of sex chromosomes but the same type of gonad, allowing investigation of the role of sex chromosomes in causing sex differences in physiology and disease. The new rat lines allow comparison of XX and XY rats with the same type of gonad, to detect sex differences caused in part by the sex chromosomes. Other comparisons of rats with the same gonad but with different numbers of X chromosomes (XO vs. XX, XY vs XXY) or of Y chromosomes (XO vs. XY, XX vs. XXY, XY vs. XYY) detect effects of X or Y chromosome number. These resources can uncover sex-chromosome effects on any rat phenotype.

Identifiers

PMID36798326
PMCPMC9934672
OpenAlexW4319938145

What Socratic 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 Socratic graph.