Evidence map›Paper›PMID 42416373›Full record

ArticleInternational journal of mass spectrometry2025

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

Annabel S J Eardley-Brunt, Anna Jones, Thomas Mills, Liwen Song, Rafail Kotronias, Pierfrancesco Lapolla, Oxford Acute Myocardial Infarction (OxAMI) Studyoxami@cardiov.ox.ac.uk, Oxford Abdominal Aortic Aneurysm (OxAAA) Studyoxaaa@nds.ox.ac.uk, Ashok Handa, Regent Lee and 3 more

Abstract read
In one paragraph

Article in International journal of mass spectrometry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Annabel S J Eardley-BruntDepartment of Chemistry, University of Oxford, Chemistry Research Laboratory, 12 Mansfield Rd, Oxford, OX1 3TA, UK.
Anna JonesDepartment of Chemistry, University of Oxford, Chemistry Research Laboratory, 12 Mansfield Rd, Oxford, OX1 3TA, UK.
Thomas MillsDepartment of Chemistry, University of Oxford, Chemistry Research Laboratory, 12 Mansfield Rd, Oxford, OX1 3TA, UK.
Liwen SongDepartment of Chemistry, University of Oxford, Chemistry Research Laboratory, 12 Mansfield Rd, Oxford, OX1 3TA, UK.
Rafail KotroniasNIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford University Hospitals, Oxford, UK.
Pierfrancesco LapollaNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Oxford Acute Myocardial Infarction (OxAMI) Studyoxami@cardiov.ox.ac.uk
Oxford Abdominal Aortic Aneurysm (OxAAA) Studyoxaaa@nds.ox.ac.uk
Ashok HandaNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Regent LeeNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Keith ChannonNIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford University Hospitals, Oxford, UK.
Giovanni Luigi de MariaNIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford University Hospitals, Oxford, UK.
Claire VallanceDepartment of Chemistry, University of Oxford, Chemistry Research Laboratory, 12 Mansfield Rd, Oxford, OX1 3TA, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Atmospheric solids analysis probe mass spectrometryMetabolite profilePlasmaProtocol optimisation

Identifiers

PMID42416373
PMCPMC13337356

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.