Development of an optimised method for the analysis of human blood plasma samples by atmospheric solids analysis probe mass spectrometry

Analysis of small-molecule metabolites in plasma has the potential for development as a clinical diagnostic and prognostic tool. Atmospheric solids analysis probe mass spectrometry (ASAP-MS) is capable of performing rapid metabolite and small molecule fingerprinting, and has the potential for use in a clinical setting. Combining ASAP-MS data with a predictive model could provide clinicians with a rapid patient risk metric, anticipating disease progression and response to treatment, and thereby aiding in treatment decisions. In order to develop predictive models, experimental errors and uncertainties must be minimised, requiring a robust experimental protocol. In the present study we have performed ASAP-MS measurements on plasma samples from patients recruited for two prospective clinical studies: the Oxford Acute Myocardial Infarction (OxAMI) study; and the Oxford Abdominal Aortic Aneurysm (OxAAA) study. Through a carefully designed series of measurements, we have optimised the method of sample introduction, together with a number of key instrument and data acquisition parameters. Following the optimisation process, we are consistently able to record high quality mass spectra for plasma samples. Typical coefficients of variation for individual mass peaks are in the range from 20%–50%, overlapping with those obtained using more sophisticated LC-MS approaches. The measurement protocol optimises mass spectral quality and reproducibility, while retaining the simplicity of measurement required for use in a clinical setting. While the protocol was developed using plasma samples from two specific patient cohorts, the method can be generalised to any plasma measurements. • ASAP-MS can perform rapid metabolite and lipid fingerprinting in clinical samples. • Combining the data with a predictive model offers a route to new patient risk metrics. • Generation of high-quality data sets requires a robust experimental protocol. • We have developed such a protocol for measurements on human blood plasma.

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Publication Details

Journal
International Journal of Mass Spectrometry
Published
2024-12-10
DOI
https://doi.org/10.1016/j.ijms.2024.117386
Citations
5
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.17

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article

Development of an optimised method for the analysis of human blood plasma samples by atmospheric solids analysis probe mass spectrometry

Keith M. Channon, Pierfrancesco Lapolla, Ashok Handa, Regent Lee et al.
5 citations
International Journal of Mass Spectrometry
Metabolomics and Mass Spectrometry Studies
1.17
article

Development of an optimised method for the analysis of human blood plasma samples by atmospheric solids analysis probe mass spectrometry

Keith M. Channon, Pierfrancesco Lapolla, Ashok Handa, Regent Lee, Claire Vallance, Giovanni Luigi De Maria, Rafail A. Kotronias, Annabel S. J. Eardley-Brunt, Liwen Song, Anna M. Jones, Thomas Mills
article en
5 citations

Abstract

Analysis of small-molecule metabolites in plasma has the potential for development as a clinical diagnostic and prognostic tool. Atmospheric solids analysis probe mass spectrometry (ASAP-MS) is capable of performing rapid metabolite and small molecule fingerprinting, and has the potential for use in a clinical setting. Combining ASAP-MS data with a predictive model could provide clinicians with a rapid patient risk metric, anticipating disease progression and response to treatment, and thereby aiding in treatment decisions. In order to develop predictive models, experimental errors and uncertainties must be minimised, requiring a robust experimental protocol. In the present study we have performed ASAP-MS measurements on plasma samples from patients recruited for two prospective clinical studies: the Oxford Acute Myocardial Infarction (OxAMI) study; and the Oxford Abdominal Aortic Aneurysm (OxAAA) study. Through a carefully designed series of measurements, we have optimised the method of sample introduction, together with a number of key instrument and data acquisition parameters. Following the optimisation process, we are consistently able to record high quality mass spectra for plasma samples. Typical coefficients of variation for individual mass peaks are in the range from 20%–50%, overlapping with those obtained using more sophisticated LC-MS approaches. The measurement protocol optimises mass spectral quality and reproducibility, while retaining the simplicity of measurement required for use in a clinical setting. While the protocol was developed using plasma samples from two specific patient cohorts, the method can be generalised to any plasma measurements. • ASAP-MS can perform rapid metabolite and lipid fingerprinting in clinical samples. • Combining the data with a predictive model offers a route to new patient risk metrics. • Generation of high-quality data sets requires a robust experimental protocol. • We have developed such a protocol for measurements on human blood plasma.

International Journal of Mass SpectrometryVol. 508
John Radcliffe Hospital (GB), University of Oxford (GB), Oxford BioMedica (United Kingdom) (GB)
Wellcome Trust, UK Research and Innovation, Academy of Medical Sciences, University of Oxford, John Fell Fund, University of Oxford
Openalex Percentile: Top 21%
Metabolomics and Mass Spectrometry Studies
1.17
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