Evidence map›Paper›PMID 26083464›Full record

ArticleJournal of the American Chemical Society2015

Highly Selective, Reversible Inhibitor Identified by Comparative Chemoproteomics Modulates Diacylglycerol Lipase Activity in Neurons.

Marc P Baggelaar, Pascal J P Chameau, Vasudev Kantae, Jessica Hummel, Ku-Lung Hsu, Freek Janssen, Tom van der Wel, Marjolein Soethoudt, Hui Deng, Hans den Dulk and 10 more

Abstract readComparative Study
In one paragraph

Article in Journal of the American Chemical Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 63 citations in OpenAlex.

  1. Chemical Probes for Investigating the Endocannabinoid System.Current topics in behavioral neurosciences · 2026
    Review
  2. The Pharmacological Profile of Plant-Derived Cannabinoids In Vitro.Current topics in behavioral neurosciences · 2026
    Review
  3. Article
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  6. P2XBritish journal of pharmacology · 2024
    Article
  7. Article
  8. Review
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  10. Article
  11. Review
  12. Article
  13. Olaparib-Based Photoaffinity Probes for PARP-1 Detection in Living Cells.Chembiochem : a European journal of chemical biology · 2020
    Article
  14. Interactions Between Alcohol and the Endocannabinoid System.Alcoholism, clinical and experimental research · 2020
    Review
  15. Article
  16. Druggable Targets in Endocannabinoid Signaling.Advances in experimental medicine and biology · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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

20 authors at 4 institutions in 2 countries.

Marc P Baggelaar†Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden 2300 RA, The Netherlands.
Pascal J P Chameau‡Center for Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam 1000 GG, The Netherlands.
Vasudev Kantae§Division of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2300 RA, The Netherlands.
Jessica Hummel†Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden 2300 RA, The Netherlands.
Ku-Lung Hsu∥Department of Chemical Physiology, The Scripps Research Institute, La Jolla, California 92037, United States.
Freek Janssen†Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden 2300 RA, The Netherlands.
Tom van der Wel†Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden 2300 RA, The Netherlands.
Marjolein Soethoudt†Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden 2300 RA, The Netherlands.
Hui Deng†Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden 2300 RA, The Netherlands.
Hans den Dulk†Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden 2300 RA, The Netherlands.
Marco Allarà⊥Endocannabinoid Research Group, Institute of Biomolecular Chemistry, Pozzuoli 80078, Italy.
Bogdan I Florea†Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden 2300 RA, The Netherlands.
Vincenzo Di Marzo⊥Endocannabinoid Research Group, Institute of Biomolecular Chemistry, Pozzuoli 80078, Italy.
Wytse J Wadman‡Center for Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam 1000 GG, The Netherlands.
Chris G Kruse‡Center for Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam 1000 GG, The Netherlands.
Herman S Overkleeft†Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden 2300 RA, The Netherlands.
Thomas Hankemeier§Division of Analytical Biosciences, Leiden Academic Centre for Drug Research, Leiden University, Leiden 2300 RA, The Netherlands.
Taco R Werkman‡Center for Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam 1000 GG, The Netherlands.
Benjamin F Cravatt∥Department of Chemical Physiology, The Scripps Research Institute, La Jolla, California 92037, United States.
Mario van der Stelt†Department of Bioorganic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden 2300 RA, The Netherlands.
Leiden University · NLNetherlands Institute for Neuroscience · NLScripps Research Institute · USUniversity of Amsterdam · NL

Funding

Functional Characterization of Diacylglycerol Lipases in Mammalian PhysiologyK99DA035864 · NIDA · SCRIPPS RESEARCH INSTITUTE, THE · PI HSU, KU-LUNG · 2014 to 2014
$128k
NIDA NIH HHS K99 DA035864
6 · The paper itself

Abstract

Diacylglycerol lipase (DAGL)-α and -β are enzymes responsible for the biosynthesis of the endocannabinoid 2-arachidonoylglycerol (2-AG). Selective and reversible inhibitors are required to study the function of DAGLs in neuronal cells in an acute and temporal fashion, but they are currently lacking. Here, we describe the identification of a highly selective DAGL inhibitor using structure-guided and a chemoproteomics strategy to characterize the selectivity of the inhibitor in complex proteomes. Key to the success of this approach is the use of comparative and competitive activity-based proteome profiling (ABPP), in which broad-spectrum and tailor-made activity-based probes are combined to report on the inhibition of a protein family in its native environment. Competitive ABPP with broad-spectrum fluorophosphonate-based probes and specific β-lactone-based probes led to the discovery of α-ketoheterocycle LEI105 as a potent, highly selective, and reversible dual DAGL-α/DAGL-β inhibitor. LEI105 did not affect other enzymes involved in endocannabinoid metabolism including abhydrolase domain-containing protein 6, abhydrolase domain-containing protein 12, monoacylglycerol lipase, and fatty acid amide hydrolase and did not display affinity for the cannabinoid CB1 receptor. Targeted lipidomics revealed that LEI105 concentration-dependently reduced 2-AG levels, but not anandamide levels, in Neuro2A cells. We show that cannabinoid CB1-receptor-mediated short-term synaptic plasticity in a mouse hippocampal slice model can be reduced by LEI105. Thus, we have developed a highly selective DAGL inhibitor and provide new pharmacological evidence to support the hypothesis that "on demand biosynthesis" of 2-AG is responsible for retrograde signaling.

Indexed as

AnimalsCell LineDrug DiscoveryEnzyme InhibitorsHeterocyclic CompoundsHippocampusLipoprotein LipaseMiceNeuronsSynaptic TransmissionEnzyme InhibitorsHeterocyclic CompoundsLipoprotein Lipase

Identifiers

PMID26083464
PMCPMC4773911
OpenAlexW2406036473

What OpenQuestion holds

Textmetadata
LicenceTDM
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.