Abstract 1771 Untargeted lipidomics reveals age-associated lipidomic shifts in the mouse ovary across the lifespan

Background: Ovarian aging is characterized by the natural decline in ovarian function with age, manifested in reduced oocyte quantity and quality, as well as increased tissue fibrosis. Emerging evidence highlights lipids as critical contributors to age-related changes, altering membrane integrity, signaling pathways, and inflammatory responses. Despite their importance, ovarian aging research has predominantly focused on transcriptomics, leaving the role of lipids underexplored. This study employs untargeted lipidomics to investigate and characterize lipid alterations across the mouse ovarian lifespan, hypothesizing that age-associated changes are reflected in specific lipid signatures and that these changes impact ovarian function.

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Journal
Journal of Biological Chemistry
Published
2025-05-01
DOI
https://doi.org/10.1016/j.jbc.2025.109409
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Abstract 1771 Untargeted lipidomics reveals age-associated lipidomic shifts in the mouse ovary across the lifespan

A.L. Lopez, Sofija Jovanović, Fernando Tobias, Natalia Pascuali
Journal of Biological Chemistry
Metabolomics and Mass Spectrometry Studies
article

Abstract 1771 Untargeted lipidomics reveals age-associated lipidomic shifts in the mouse ovary across the lifespan

A.L. Lopez, Sofija Jovanović, Fernando Tobias, Natalia Pascuali
article en

Abstract

Background: Ovarian aging is characterized by the natural decline in ovarian function with age, manifested in reduced oocyte quantity and quality, as well as increased tissue fibrosis. Emerging evidence highlights lipids as critical contributors to age-related changes, altering membrane integrity, signaling pathways, and inflammatory responses. Despite their importance, ovarian aging research has predominantly focused on transcriptomics, leaving the role of lipids underexplored. This study employs untargeted lipidomics to investigate and characterize lipid alterations across the mouse ovarian lifespan, hypothesizing that age-associated changes are reflected in specific lipid signatures and that these changes impact ovarian function.

Journal of Biological ChemistryVol. 301(5)
University of Minnesota (US), Saint Louis University (US)
National Institutes of Health, National Institute of General Medical Sciences
Zero hunger
Openalex Percentile: Top 88%
Metabolomics and Mass Spectrometry Studies
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