Evidence map›Paper›PMID 25766375›Full record

ReviewBritish journal of pharmacology2015

Future technology insight: mass spectrometry imaging as a tool in drug research and development.

D F Cobice, R J A Goodwin, P E Andren, A Nilsson, C L Mackay, R Andrew

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. Review
  5. Single-Cell Metabolomics by Mass Spectrometry Imaging.Advances in experimental medicine and biology · 2021
    Article
  6. Deciphering the mechanism of action of antitubercular compounds with metabolomics.Computational and structural biotechnology journal · 2021
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
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

6 authors at 4 institutions in 2 countries.

D F CobiceUniversity/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
R J A GoodwinDrug Metabolism and Distribution, Mass Spectrometry Imaging, AstraZeneca R&D, Macclesfield, UK.
P E AndrenBiomolecular Imaging and Proteomics, National Center for Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
A NilssonBiomolecular Imaging and Proteomics, National Center for Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
C L MackaySIRCAMS, School of Chemistry, University of Edinburgh, Edinburgh, UK.
R AndrewUniversity/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Queen's Medical Centre · GBUppsala University · SEAstraZeneca (United Kingdom) · GBUniversity of Edinburgh · GB

Funding

British Heart FoundationMedical Research Council MC_PC_12014
6 · The paper itself

Abstract

In pharmaceutical research, understanding the biodistribution, accumulation and metabolism of drugs in tissue plays a key role during drug discovery and development. In particular, information regarding pharmacokinetics, pharmacodynamics and transport properties of compounds in tissues is crucial during early screening. Historically, the abundance and distribution of drugs have been assessed by well-established techniques such as quantitative whole-body autoradiography (WBA) or tissue homogenization with LC/MS analysis. However, WBA does not distinguish active drug from its metabolites and LC/MS, while highly sensitive, does not report spatial distribution. Mass spectrometry imaging (MSI) can discriminate drug and its metabolites and endogenous compounds, while simultaneously reporting their distribution. MSI data are influencing drug development and currently used in investigational studies in areas such as compound toxicity. In in vivo studies MSI results may soon be used to support new drug regulatory applications, although clinical trial MSI data will take longer to be validated for incorporation into submissions. We review the current and future applications of MSI, focussing on applications for drug discovery and development, with examples to highlight the impact of this promising technique in early drug screening. Recent sample preparation and analysis methods that enable effective MSI, including quantitative analysis of drugs from tissue sections will be summarized and key aspects of methodological protocols to increase the effectiveness of MSI analysis for previously undetectable targets addressed. These examples highlight how MSI has become a powerful tool in drug research and development and offers great potential in streamlining the drug discovery process.

Indexed as

Drug DiscoveryMass SpectrometryAnimalsDiagnostic ImagingHumansResearch

Identifiers

PMID25766375
PMCPMC4500365
OpenAlexW1902004844

What OpenQuestion holds

Textmetadata
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.