The aging mouse lipidome

Aging is associated with widespread metabolic changes that contribute to functional decline and disease. While prior studies have characterized age-associated changes in lipids, it still remains incompletely understood how the lipidome changes across tissues and between sexes during aging. Here, we performed targeted lipidomics across 10 organs collected from male and female mice at five ages spanning adolescence to old age. We analyzed 775 lipids across multiple lipid classes and found that aging affects the lipidome in an organ-specific manner. The thymus and quadriceps muscle had the most age-associated lipid changes, whereas lipid levels in organs such as the kidney and lung remained more stable. In quadriceps muscle, aging was associated with a decrease in specific phosphatidylcholine and phosphatidylethanolamine lipids, particularly those containing adrenic acid. We also identified sex-dependent differences in lipid composition, with the spleen showing differences throughout life. Spleens from female mice had lower levels of lysophosphatidylcholine and lysophosphatidylethanolamine compared to males. Together, these data provide a comprehensive atlas of age- and sex-associated lipid changes across mouse organs and complement existing metabolic and transcriptomic resources to support studies of mouse aging.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-02-04
DOI
https://doi.org/10.64898/2026.02.02.703178
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The aging mouse lipidome

Darius Moaddeli, Aeowynn J. Coakley, Shruti Sivaraman, Edgar Esparza et al.
bioRxiv (Cold Spring Harbor Laboratory)
Metabolomics and Mass Spectrometry Studies
article

The aging mouse lipidome

Darius Moaddeli, Aeowynn J. Coakley, Shruti Sivaraman, Edgar Esparza, Ryo Higuchi‐Sanabria, Steven E. Pilley, Sriraksha Bharadwaj Kashyap, Whitaker Cohn, Peter Mullen, Xuanyi Shi, Preeti R Iyengar, George Wang, Rachael Mulondo
article en

Abstract

Aging is associated with widespread metabolic changes that contribute to functional decline and disease. While prior studies have characterized age-associated changes in lipids, it still remains incompletely understood how the lipidome changes across tissues and between sexes during aging. Here, we performed targeted lipidomics across 10 organs collected from male and female mice at five ages spanning adolescence to old age. We analyzed 775 lipids across multiple lipid classes and found that aging affects the lipidome in an organ-specific manner. The thymus and quadriceps muscle had the most age-associated lipid changes, whereas lipid levels in organs such as the kidney and lung remained more stable. In quadriceps muscle, aging was associated with a decrease in specific phosphatidylcholine and phosphatidylethanolamine lipids, particularly those containing adrenic acid. We also identified sex-dependent differences in lipid composition, with the spleen showing differences throughout life. Spleens from female mice had lower levels of lysophosphatidylcholine and lysophosphatidylethanolamine compared to males. Together, these data provide a comprehensive atlas of age- and sex-associated lipid changes across mouse organs and complement existing metabolic and transcriptomic resources to support studies of mouse aging.

bioRxiv (Cold Spring Harbor Laboratory)
University of Southern California (US)
Openalex Percentile: Top 67%
Metabolomics and Mass Spectrometry Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.