Evidence map›Paper›PMID 34245129›Full record

ArticlePhysiological reports2021

Transcriptomic analysis of cardiac gene expression across the life course in male and female mice.

Aykhan Yusifov, Vikram E Chhatre, Eva K Koplin, Cortney E Wilson, Emily E Schmitt, Kathleen C Woulfe, Danielle R Bruns

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2021. 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
2.0field-weighted citation impact, top 14% 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, 16 citations in OpenAlex.

  1. NADCommunications biology · 2026
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  10. Mechanisms and implications of sex differences in cardiac aging.The journal of cardiovascular aging · 2022
    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

7 authors at 2 institutions in 1 country.

Aykhan YusifovKinesiology and Health, University of Wyoming, Laramie, WY, USA.
Vikram E ChhatreWY INBRE Bioinformatics/Data Science Core, Laramie, WY, USA.
Eva K KoplinKinesiology and Health, University of Wyoming, Laramie, WY, USA.
Cortney E WilsonDivision of Cardiology, University of Colorado-Denver, Aurora, CO, USA.
Emily E SchmittKinesiology and Health, University of Wyoming, Laramie, WY, USA.ORCID 0000-0001-6965-9768
Kathleen C WoulfeDivision of Cardiology, University of Colorado-Denver, Aurora, CO, USA.
Danielle R BrunsKinesiology and Health, University of Wyoming, Laramie, WY, USA.ORCID 0000-0003-3066-111X
University of Wyoming · USUniversity of Colorado Denver · US

Funding

Wyoming INBRE Phase 4- Equipment Supplement for x-ray diffractometer for Center for Advanced Scientific InstrumentationP20GM103432 · NIGMS · UNIVERSITY OF WYOMING · PI David S Fay · 2012 to 2026
$56.8M
Suppression of ERalpha in Hematopoietic Stem Cell-Derived Adipocytes Increases Adiposity via Kynurenine and the Aryl Hydrocarbon ReceptorU54AG062319 · NIA · UNIVERSITY OF COLORADO DENVER · PI Wendy M Kohrt · 2018 to 2026
$13.5M
UCHSC: Building Interdisciplinary Research Careers in Women's HealthK12HD057022 · NICHD · UNIVERSITY OF COLORADO DENVER · PI REGENSTEINER, JUDITH G., SANTORO, NANETTE F. · 2007 to 2023
$8.5M
Therapeutic activation of AMPK for the aging right heartK01AG058810 · NIA · UNIVERSITY OF WYOMING · PI BRUNS, DANIELLE REULAND · 2019 to 2023
$805k
Sex-specific regulation of myofibrillar function in the aging heartK01AG066845 · NIA · UNIVERSITY OF COLORADO DENVER · PI WOULFE, KATHLEEN · 2020 to 2023
$467k
NIA NIH HHS K01 AG058810NIA NIH HHS K01 AG066845NIA NIH HHS U54 AG062319NICHD NIH HHS K12 HD057022NIGMS NIH HHS P20 GM103432
6 · The paper itself

Abstract

Risk for heart disease increases with advanced age and differs between sexes, with females generally protected from heart disease until menopause. Despite these epidemiological observations, the molecular mechanisms that underlie sex-specific differences in cardiac function have not been fully described. We used high throughput transcriptomics in juvenile (5 weeks), adult (4-6 months), and aged (18 months) male and female mice to understand how cardiac gene expression changes across the life course and by sex. While male gene expression profiles differed between juvenile-adult and juvenile-aged (254 and 518 genes, respectively), we found no significant differences in adult-aged gene expression. Females had distinct gene expression changes across the life course with 1835 genes in juvenile-adult and 1328 in adult-aged. Analysis of differentially expressed genes (DEGs) suggests that juvenile to adulthood genes were clustered in cell cycle and development-related pathways in contrast to adulthood-aged which were characterized by immune-and inflammation-related pathways. Analysis of sex differences within each age suggests that juvenile and aged cardiac transcriptomes are different between males and females, with significantly fewer DEGs identified in adult males and females. Interestingly, the male-female differences in early age were distinct from those in advanced age. These findings are in contrast to expected sex differences historically attributed to estrogen and could not be explained by estrogen-direct mechanisms alone as evidenced by juvenile sexual immaturity and reproductive incompetence in the aged mice. Together, distinct trajectories in cardiac transcriptomic profiles highlight fundamental sex differences across the life course and demonstrate the need for the consideration of age and sex as biological variables in heart disease.

Indexed as

Gene ExpressionGene Expression ProfilingAge FactorsAgingAnimalsFemaleMaleMiceMice, Inbred C57BLMyocardiumProteomicsSequence Analysis, RNASex Factorsagingcardiaclife courseOmicsRNA-seqsex differences

Identifiers

PMID34245129
PMCPMC8271347
OpenAlexW3179435882

What OpenQuestion holds

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LicenceCC BY
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.