Evidence map›Paper›PMID 25664760›Full record

ArticleAnalytical chemistry2015

Untargeted UPLC-MS profiling pipeline to expand tissue metabolome coverage: application to cardiovascular disease.

Panagiotis A Vorkas, Giorgis Isaac, Muzaffar A Anwar, Alun H Davies, Elizabeth J Want, Jeremy K Nicholson, Elaine Holmes

Abstract read
In one paragraph

Article in Analytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Article
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  8. A diagnostic algorithm for inherited metabolic disorders using untargeted metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  9. Spontaneous ileitis and postsurgical murine models of enteric hyperoxaluria.American journal of physiology. Gastrointestinal and liver physiology · 2025
    Article
  10. Article
  11. Untargeted Metabolic Phenotyping by LC-MS.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  12. Article
  13. Article
  14. Applications of chromatographic methods in metabolomics: A review.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2024
    Review
  15. Development of metabolome extraction strategy for metabolite profiling of skin tissue.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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

7 authors.

Panagiotis A Vorkas†Biomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, U.K.
Giorgis Isaac‡Pharmaceutical Discovery and Life Sciences, Waters Corporations, Milford, Massachusetts 01757, United States.
Muzaffar A Anwar§Academic Section of Vascular Surgery, Division of Surgery, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London W6 8RF, U.K.
Alun H Davies§Academic Section of Vascular Surgery, Division of Surgery, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London W6 8RF, U.K.
Elizabeth J Want†Biomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, U.K.
Jeremy K Nicholson†Biomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, U.K.
Elaine Holmes†Biomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic profiling studies aim to achieve broad metabolome coverage in specific biological samples. However, wide metabolome coverage has proven difficult to achieve, mostly because of the diverse physicochemical properties of small molecules, obligating analysts to seek multiplatform and multimethod approaches. Challenges are even greater when it comes to applications to tissue samples, where tissue lysis and metabolite extraction can induce significant systematic variation in composition. We have developed a pipeline for obtaining the aqueous and organic compounds from diseased arterial tissue using two consecutive extractions, followed by a different untargeted UPLC-MS analysis method for each extract. Methods were rationally chosen and optimized to address the different physicochemical properties of each extract: hydrophilic interaction liquid chromatography (HILIC) for the aqueous extract and reversed-phase chromatography for the organic. This pipeline can be generic for tissue analysis as demonstrated by applications to different tissue types. The experimental setup and fast turnaround time of the two methods contributed toward obtaining highly reproducible features with exceptional chromatographic performance (CV % < 0.5%), making this pipeline suitable for metabolic profiling applications. We structurally assigned 226 metabolites from a range of chemical classes (e.g., carnitines, α-amino acids, purines, pyrimidines, phospholipids, sphingolipids, free fatty acids, and glycerolipids) which were mapped to their corresponding pathways, biological functions and known disease mechanisms. The combination of the two untargeted UPLC-MS methods showed high metabolite complementarity. We demonstrate the application of this pipeline to cardiovascular disease, where we show that the analyzed diseased groups (n = 120) of arterial tissue could be distinguished based on their metabolic profiles.

Indexed as

Amino AcidsArteriesCardiovascular DiseasesCarnitineChromatography, High Pressure LiquidFatty AcidsLipidsMass SpectrometryPurinesPyrimidinesAmino AcidsCarnitineFatty AcidsLipidsPurinesPyrimidines

Identifiers

PMID25664760
PMCPMC4407508

What OpenQuestion holds

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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.