Evidence map›Paper›PMID 28493648›Full record

ArticleAngewandte Chemie (International ed. in English)2017

Detection of Localized Hepatocellular Amino Acid Kinetics by using Mass Spectrometry Imaging of Stable Isotopes.

Martijn Arts, Zita Soons, Shane R Ellis, Keely A Pierzchalski, Benjamin Balluff, Gert B Eijkel, Ludwig J Dubois, Natasja G Lieuwes, Stijn M Agten, Tilman M Hackeng and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
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

17 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Mass Spectrometry Imaging.Analytical chemistry · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Review
  12. Review
  13. Mass spectrometry imaging of L-[ring-Cancer & metabolism · 2021
    Article
  14. Article
  15. Review
  16. 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 at 2 institutions in 2 countries.

Martijn ArtsDepartment of General Surgery (NUTRIM), Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Zita SoonsDepartment of General Surgery (NUTRIM), Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Shane R EllisMaastricht MultiModal Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Keely A PierzchalskiMaastricht MultiModal Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Benjamin BalluffMaastricht MultiModal Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Gert B EijkelMaastricht MultiModal Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Ludwig J DuboisDepartment of Radiation Oncology (MAASTRO, GROW), Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Natasja G LieuwesDepartment of Radiation Oncology (MAASTRO, GROW), Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Stijn M AgtenDepartment of Biochemistry (CARIM), Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Tilman M HackengDepartment of Biochemistry (CARIM), Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Luc J C van LoonDepartment of Human Biology and Movement Sciences (NUTRIM), Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Ron M A HeerenMaastricht MultiModal Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Steven W M Olde DaminkDepartment of General Surgery (NUTRIM), Maastricht University, Postbus 616, 6200 MD, Maastricht, The Netherlands.
Maastricht University · NLMaastro Clinic · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry imaging (MSI) simultaneously detects and identifies the spatial distribution of numerous molecules throughout tissues. Currently, MSI is limited to providing a static and ex vivo snapshot of highly dynamic systems in which molecules are constantly synthesized and consumed. Herein, we demonstrate an innovative MSI methodology to study dynamic molecular changes of amino acids within biological tissues by measuring the dilution and conversion of stable isotopes in a mouse model. We evaluate the method specifically on hepatocellular metabolism of the essential amino acid l-phenylalanine, associated with liver diseases. Crucially, the method reveals the localized dynamics of l-phenylalanine metabolism, including its in vivo hydroxylation to l-tyrosine and co-localization with other liver metabolites in a time course of samples from different animals. This method thus enables the dynamics of localized biochemical synthesis to be studied directly from biological tissues.

Indexed as

AnimalsCarbon IsotopesCarcinoma, HepatocellularDisease Models, AnimalGas Chromatography-Mass SpectrometryHeterograftsHydroxylationKineticsLiver NeoplasmsMass SpectrometryMiceMice, NudePhenylalanineReproducibility of ResultsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSpectroscopy, Fourier Transform InfraredCarbon IsotopesPhenylalanineTyrosineamino acidsdynamicsisotopic labelingmass spectrometry imagingmetabolism

Identifiers

PMID28493648
PMCPMC6099435
OpenAlexW2613596581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.