Evidence map›Paper›PMID 39482778›Full record

ArticleBiology of sex differences2024

Sex dimorphism and tissue specificity of gene expression changes in aging mice.

Dantong Zhu, Matt Arnold, Brady A Samuelson, Judy Z Wu, Amber Mueller, David A Sinclair, Alice E Kane

Abstract read
In one paragraph

Article in Biology of sex differences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Dantong ZhuInstitute for Systems Biology, Seattle, WA, 98109, USA.
Matt ArnoldDepartment of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Blavatnik Institute, Boston, MA, 02115, USA.
Brady A SamuelsonInstitute for Systems Biology, Seattle, WA, 98109, USA.
Judy Z WuInstitute for Systems Biology, Seattle, WA, 98109, USA.
Amber MuellerDepartment of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Blavatnik Institute, Boston, MA, 02115, USA.
David A SinclairDepartment of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Blavatnik Institute, Boston, MA, 02115, USA.
Alice E KaneInstitute for Systems Biology, Seattle, WA, 98109, USA. alice.kane@isbscience.org.

Funding

Role of Sgs1 DNA helicase in telomere maintenanceR01AG019719 · NIA · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI SINCLAIR, DAVID A. · 2001 to 2022
$5.3M
Development of a Predictive Frailty Clock & Longitudinal Investigation of its Epigenetic DeterminantsR00AG070102 · NIA · INSTITUTE FOR SYSTEMS BIOLOGY · PI KANE, ALICE E · 2023 to 2025
$1.0M
NIA NIH HHS R00 AG070102NIA NIH HHS R00AG070102NIA NIH HHS R01 AG019719NIA NIH HHS R01AG019719
6 · The paper itself

Abstract

backgroundAging is a complex process that involves all tissues in an organism and shows sex dimorphism. While transcriptional changes in aging have been well characterized, the majority of studies have focused on a single sex and sex differences in gene expression in aging are poorly understood. In this study, we explore sex dimorphism in gene expression in aging mice across three tissues.

methodsWe collected gastrocnemius muscle, liver and white adipose tissue from young (6 months, n = 14) and old (24 months, n = 14) female and male C57BL/6NIA mice and performed RNA-seq. To investigate sex dimorphism in aging, we considered two levels of comparisons: (a) differentially expressed genes between females and males in the old age group and (b) comparisons between females and males across the aging process. We utilized differential expression analysis and gene feature selection to investigate candidate genes. Gene set enrichment analysis was performed to identify candidate molecular pathways. Furthermore, we performed a co-expression network analysis and chose the gene module(s) associated with aging independent of sex or tissue-type.

resultsWe identified both tissue-specific and tissue-independent genes associated with sex dimorphism in aged mice. Unique differentially expressed genes between old males and females across tissues were mainly enriched for pathways related to specific tissue function. We found similar results when exploring sex differences in the aging process, with the exception that in the liver genes enriched for lipid metabolism and digestive system were identified in both females and males. Combining enriched pathways across analyses, we identified amino acid metabolism, digestive system, and lipid metabolism as the core mechanisms of sex dimorphism in aging. Although the vast majority of age-related genes were sex and tissue specific, we identified 127 hub genes contributing to aging independent of sex and tissue that were enriched for the immune system and signal transduction.

conclusionsThere are clear sex differences in gene expression in aging across liver, muscle and white adipose. Core pathways, including amino acid metabolism, digestive system and lipid metabolism, contribute to sex differences in aging.

Indexed as

AgingLiverMice, Inbred C57BLMuscle, SkeletalOrgan SpecificitySex CharacteristicsAdipose Tissue, WhiteAnimalsFemaleGene Expression RegulationMaleMiceAdipose tissueAgingCo-expression network analysisFeature selectionGene expressionLiverMiceMuscleSex dimorphismTissue-specific

Identifiers

PMID39482778
PMCPMC11529319

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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.