Evidence map›Paper›PMID 28927325›Full record

ReviewMolecular imaging

Molecular Imaging of Hydrolytic Enzymes Using PET and SPECT.

Brian P Rempel, Eric W Price, Christopher P Phenix

Abstract readReview
In one paragraph

Review in Molecular imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Imaging of dopamine transporters in Parkinson disease: a meta-analysis ofAnnals of clinical and translational neurology · 2020
    Pooled it
  2. Review
  3. Review
  4. Review
  5. Preclinical evaluation of anEJNMMI radiopharmacy and chemistry · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Frontiers in chemistry · 2021
    Article
  12. Development of [Cancers · 2020
    Review
  13. Review
  14. Article
  15. 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

3 authors.

Brian P Rempel1 Department of Science, Augustana Faculty, University of Alberta, Edmonton, Alberta, Canada.
Eric W Price2 Department of Chemistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Christopher P Phenix2 Department of Chemistry, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrolytic enzymes are a large class of biological catalysts that play a vital role in a plethora of critical biochemical processes required to maintain human health. However, the expression and/or activity of these important enzymes can change in many different diseases and therefore represent exciting targets for the development of positron emission tomography (PET) and single-photon emission computed tomography (SPECT) radiotracers. This review focuses on recently reported radiolabeled substrates, reversible inhibitors, and irreversible inhibitors investigated as PET and SPECT tracers for imaging hydrolytic enzymes. By learning from the most successful examples of tracer development for hydrolytic enzymes, it appears that an early focus on careful enzyme kinetics and cell-based studies are key factors for identifying potentially useful new molecular imaging agents.

Indexed as

Positron-Emission TomographyTomography, Emission-Computed, Single-PhotonEnzymesHydrolysisKineticsMolecular ImagingEnzymesesterasefatty acid amide hydrolaseglycosidasehistone deacetylaselipasePETpositron emission tomographysingle-photon emission computer tomographySPECTsulfatase

Identifiers

PMID28927325
PMCPMC5613853

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.