首页|Simultaneously quantifying hundreds of acylcarnitines in multiple biological matrices within ten minutes using ultrahigh-performance liquid-chromatography and tandem mass spectrometry

Simultaneously quantifying hundreds of acylcarnitines in multiple biological matrices within ten minutes using ultrahigh-performance liquid-chromatography and tandem mass spectrometry

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Acylcarnitines are metabolic intermediates of fatty acids and branched-chain amino acids having vital biofunctions and pathophysiological significances.Here,we developed a high-throughput method for quantifying hundreds of acylcarnitines in one run using ultrahigh performance liquid chromatography and tandem mass spectrometry(UPLC-MS/MS).This enabled simultaneous quantification of 1136 acyl-carnitines(C0-C26)within 10-min with good sensitivity(limit of detection<0.7 fmol),linearity(cor-relation coefficient>0.992),accuracy(relative error<20%),precision(coefficient of variation(CV),CV<15%),stability(CV<15%),and inter-technician consistency(CV<20%,n=6).We also established a quantitative structure-retention relationship(goodness of fit>0.998)for predicting retention time(tR)of acylcarnitines with no standards and built a database of their multiple reaction monitoring parameters(tR,ion-pairs,and collision energy).Furthermore,we quantified 514 acylcarnitines in human plasma and urine,mouse kidney,liver,heart,lung,and muscle.This provides a rapid method for quantifying acyl-carnitines in multiple biological matrices.

AcylcarnitineUPLC-MS/MSQuantitative structure-retentionrelationshipMolecular phenotype

Jingxian Zhang、Qinsheng Chen、Lianglong Zhang、Biru Shi、Men Yu、Qingxia Huang、Huiru Tang

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State Key Laboratory of Genetic Engineering,School of Life Sciences,Human Phenome Institute,Zhangjiang Fudan International Innovation Center,Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics,Zhongshan Hospital,Fudan University,Shanghai,200032,China

Wuhan Laboratory for Shanghai Metabolome Institute(SMI)Ltd.,Wuhan,430000,China

国家重点研发计划国家重点研发计划国家重点研发计划Shanghai Municipal Science and Technology Major Project国家自然科学基金

2022YFC34007002022YFA08064002020YFE02016002017SHZDZX0131821002

2024

药物分析学报(英文)
西安交通大学

药物分析学报(英文)

影响因子:0.244
ISSN:2095-1779
年,卷(期):2024.14(1)
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