Combining data acquisition modes in liquid-chromatography-tandem mass spectrometry for comprehensive determination of acylcarnitines in human serum.
D Luque-CórdobaM Calderón-SantiagoFeliciano Priego-CapotePublished in: Metabolomics : Official journal of the Metabolomic Society (2022)
Acylcarnitines (ACs) are metabolites involved in fatty acid β-oxidation and organic acid metabolism. Metabolic disorders associated to these two processes can be evaluated by determining the complete profile of ACs. In this research, we present an overall strategy for identification, confirmation, and quantitative determination of acylcarnitines in human serum. By this strategy we identified the presence of 47 ACs from C2 to C24 with detection of the unsaturation degree by application of a data-independent acquisition (DIA) liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. Complementary, quantitative determination of ACs is based on a high-throughput and fully automated method consisting of solid-phase extraction on-line coupled to LC-MS/MS in data-dependent acquisition (DDA) to improve analytical features avoiding the errors associated to sample processing. Quantitation limits were at pg mL -1 level, the intra-day and between-day variability were below 15-20%, respectively; and the accuracy, expressed as bias, was always within ± 25%. The proposed method was tested with 40 human volunteers to determine the relative concentration of ACs in serum and identify predominant forms. Significant differences were detected by comparing the ACs profile of obese versus non-obese individuals.
Keyphrases
- solid phase extraction
- liquid chromatography tandem mass spectrometry
- acute coronary syndrome
- high performance liquid chromatography
- molecularly imprinted
- simultaneous determination
- liquid chromatography
- tandem mass spectrometry
- gas chromatography mass spectrometry
- high throughput
- electronic health record
- ms ms
- ultra high performance liquid chromatography
- gas chromatography
- fatty acid
- big data
- adipose tissue
- mass spectrometry
- type diabetes
- endothelial cells
- high resolution
- metabolic syndrome
- high resolution mass spectrometry
- weight loss
- machine learning
- emergency department
- hydrogen peroxide
- bariatric surgery
- obese patients
- single cell
- adverse drug
- nitric oxide
- quantum dots