A multi-tiered workflow for examining organic acid profiles delineates tissue-specific changes in fatty acyl partitioning during aging.
Overview
- LipidALL Technologies Company Limited, Jiangsu Provincial Key Laboratory of Molecular Targets and Intervention for Metabolic Diseases, Changzhou 213022, China
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
- University of the Chinese Academy of Sciences, Beijing 100049, China
- Guangzhou National Laboratory, Guangzhou, Guangdong 510005, China
- Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou 510095, China
Abstract
Fatty acids (FAs), as the predominant organic acids, form a major component of the metabolome. We present a multi-tiered method that comprehensively captures FA diversity—including chain lengths (C2–C34), unsaturation, isomers, and endogenous forms—within a single biological specimen. This workflow quantifies the broadest range of free FAs reported to date. Integrated with two complementary tiers profiling the total FA pool from alkaline hydrolysis and esterified acyl compositions across lipid classes, our multi-tiered workflow enables the investigation of differential fatty acyl partitioning. Applying this platform to quantify >540 unique lipids (free and esterified forms) and polar carboxylic acids, we investigated FA remodeling in the brain, retina (eyeball), and skeletal muscles of young and aged mice. We found that aged glycolytic tissues preferentially partition odd-chain and diunsaturated FAs (with lower β-oxidizability) into triacylglycerols. Additionally, aging shifts the FA18:1 partitioning into diacylglycerols over anionic phospholipids, which may mitigate pro-aging lipid signatures in the skeletal muscle.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
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Data
Datasets cited
- zenodo:18797611, at Zenodo; found in “Data and code availability”
Data and code availability
Data have been deposited at Zenodo and are publicly available as of the date of publication at https://
This paper does not report original code.
Any additional information required to reanalyze the data reported in this work paper is available from the lead contact upon request.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 29 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 9 authors, 9 keywords, 9 MeSH terms, 1 funder, 50 references, 2 RRIDs.
Cite
This paper
Zhou, Z., Cao, C., Lu, T., Ruan, Y., Li, B., Cao, M., Mo, L., Shui, G., & Lam, S. M. (2026). A multi-tiered workflow for examining organic acid profiles delineates tissue-specific changes in fatty acyl partitioning during aging. Cell reports methods, 6(5), 101413. https://
BibTeX
@article{zhou2026multi,
author = {Zhou, Zhiyang and Cao, Chenyin and Lu, Taochao and Ruan, Yuyuan and Li, Bowen and Cao, Mingjun and Mo, Luyue and Shui, Guanghou and Lam, Sin Man},
title = {{A multi-tiered workflow for examining organic acid profiles delineates tissue-specific changes in fatty acyl partitioning during aging}},
journal = {Cell reports methods},
year = {2026},
month = apr,
volume = {6},
number = {5},
pages = {101413},
publisher = {Elsevier},
issn = {2667-2375},
doi = {10.1016/
url = {https://
pmid = {42019501},
pmcid = {PMC13198126}
}
RIS
TY - JOUR
AU - Zhou, Zhiyang
AU - Cao, Chenyin
AU - Lu, Taochao
AU - Ruan, Yuyuan
AU - Li, Bowen
AU - Cao, Mingjun
AU - Mo, Luyue
AU - Shui, Guanghou
AU - Lam, Sin Man
TI - A multi-tiered workflow for examining organic acid profiles delineates tissue-specific changes in fatty acyl partitioning during aging
T2 - Cell reports methods
J2 - Cell Rep Methods
PY - 2026
DA - 2026/
VL - 6
IS - 5
SP - 101413
SN - 2667-2375
PB - Elsevier
DO - 10.1016/
UR - https://
LA - en
ER -
CSL-JSON
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