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RESEARCH PAPER / 2026-04-23

A multi-tiered workflow for examining organic acid profiles delineates tissue-specific changes in fatty acyl partitioning during aging.

Zhiyang Zhou, Chenyin Cao, Taochao Lu, Yuyuan Ruan, Bowen Li, Mingjun Cao, Luyue Mo, Guanghou Shui, Sin Man Lam

LipidALL Technologies Company Limited, Jiangsu Provincial Key Laboratory of Molecular Targets and Intervention for Metabolic Diseases, Changzhou 213022, China.LipidALL Technologies Company Limited, Jiangsu Provincial Key Laboratory of Molecular Targets and Intervention for Metabolic Diseases, Changzhou 213022, China. · pubmed

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.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper claims that aging alters fatty acyl partitioning in glycolytic tissues, which may influence lipid metabolism and aging processes. The research investigates metabolic changes associated with aging, contributing to the understanding of the biological mechanisms underlying aging and potential interventions.

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