Evidence map›Paper›PMID 41495329›Full record

ArticleGeroScience2026

Changes in transposable elements expression in male and female mice liver throughout aging.

Bairon Hernandez-Rojas, Paola Murgas, Gonzalo Riadi

Abstract read
In one paragraph

Article in GeroScience, 2026. 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

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

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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.

Bairon Hernandez-RojasProgram in Sciences Mention in Modeling of Chemical and Biological Systems, Faculty of Engineering, University of Talca, Talca, Chile.
Paola MurgasFacultad de Medicina y Ciencia, Universidad San Sebastián, Sede Patagonia, Puerto Montt, Chile.
Gonzalo RiadiCenter for Bioinformatics, Simulation, and Modeling, CBSM, Department of Bioinformatics, Faculty of Engineering, University of Talca, Talca, Chile. griadi@utalca.cl.ORCID http://orcid.org/0000-0002-7633-2365

Funding

Agencia Nacional de Investigación y Desarrollo 1231357Agencia Nacional de Investigación y Desarrollo 21201090
6 · The paper itself

Abstract

Aging has traditionally been studied through the lens of protein-coding genes, with a strong bias toward data derived from male organisms. As a result, the role of non-coding elements and potential sex-specific differences remains largely unexplored. Transposable elements (TEs), mobile sequences capable of altering genome structure and regulating gene expression, have recently gained attention for their roles in development and aging. However, despite this growing interest, key aspects of TE expression dynamics are still poorly characterized, particularly in female tissues. To address this gap, we analyzed TE expression in RNA-Seq liver tissue from male (8, 26, 60, 78, and 104 weeks) and female (3, 24, 48, and 72 weeks) mice. Our results reveal distinct TE expression trends between sexes. While previous studies report increased TE expression with aging, we identified a subset of TEs with decreasing expression over time, differing between males and females. We also observed inverse expression trends between a few TEs and their nearby genes, supporting a potential regulatory relationship. We identified TEs with changing expression (CE TEs) through age associated with nearby genes showing strong expression correlations (|ρ|≥ 0.6). In males, correlated genes such as Txnrd2, Mthfd1, and Dkk3 are involved in redox regulation, one-carbon metabolism, and Wnt signaling, respectively, while in females, Thrb and Cd55 are linked to metabolic regulation and immune protection. These associations suggest that TE activity may be functionally coupled to transcriptional programs relevant to liver physiology and aging. These findings highlight the importance of examining TE expression in both sexes and suggest their potential regulatory roles in age-related liver physiology.

Indexed as

AgingDNA Transposable ElementsGene Expression RegulationLiverAnimalsFemaleMaleMiceSex FactorsDNA Transposable ElementsAgeingTime course analysisTransposable elementsTransposable elements expression

Identifiers

PMID41495329
PMCPMC13638870

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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.