Evidence map›Paper›PMID 30116049›Full record

ReviewNature reviews. Drug discovery2018

New approaches and challenges to targeting the endocannabinoid system.

Vincenzo Di Marzo

Erratum issued Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06040164 (Molecular Study of Oral Dysbacteriosis in People With Prediabetes and Diabetes), which is not on this map. Cited by 246 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
246citing papers in PubMed, 2 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.

NCT06040164 unknown statusnot on this mapstarted 2023, after this paper: background citation

Molecular Study of Oral Dysbacteriosis in People With Prediabetes and Diabetes

TypeobservationalSponsorFundación Pública Andaluza para la Investigación de Málaga en Biomedicina y SaludRan2023 to 2024Enrolled60ConditionsPreDiabetes, Diabetes Mellitus, Type 2, Obesity, Oral DysbiosisArmsObservational study
3 · Its place in the literature

Who cites it

246 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. Targeting the LPI/GPR55 Axis in MAFLD and MASH: Novel Insights, Therapeutic Strategies and Future Directions.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
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186 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Vincenzo Di MarzoCanada Excellence Research Chair, Quebec Heart and Lung Institute Research Centre and Institute of Nutrition and Functional Foods, Université Laval, Quebec City, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The endocannabinoid signalling system was discovered because receptors in this system are the targets of compounds present in psychotropic preparations of Cannabis sativa. The search for new therapeutics that target endocannabinoid signalling is both challenging and potentially rewarding, as endocannabinoids are implicated in numerous physiological and pathological processes. Hundreds of mediators chemically related to the endocannabinoids, often with similar metabolic pathways but different targets, have complicated the development of inhibitors of endocannabinoid metabolic enzymes but have also stimulated the rational design of multi-target drugs. Meanwhile, drugs based on botanical cannabinoids have come to the clinical forefront, synthetic agonists designed to bind cannabinoid receptor 1 with very high affinity have become a societal threat and the gut microbiome has been found to signal in part through the endocannabinoid network. The current development of drugs that alter endocannabinoid signalling and how this complex system could be pharmacologically manipulated in the future are described in this Opinion article.

Identifiers

PMID30116049

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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 Socratic graph.