Evidence map›Paper›PMID 36293486›Full record

ArticleInternational journal of molecular sciences2022

Cannabinoid CB1 Receptor Deletion from Catecholaminergic Neurons Protects from Diet-Induced Obesity.

Raj Kamal Srivastava, Inigo Ruiz de Azua, Andrea Conrad, Martin Purrio, Beat Lutz

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Genetic Tools in Rodents to Study Cannabinoid Functions.Current topics in behavioral neurosciences · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. The Role ofCells · 2024
    Article
  6. Treatment of Diet-Induced Obese Rats with CBInternational journal of molecular sciences · 2023
    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

5 authors at 1 institution in 2 countries.

Raj Kamal SrivastavaInstitute of Physiological Chemistry, University Medical Center of the Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.ORCID 0000-0001-9328-146X
Inigo Ruiz de AzuaInstitute of Physiological Chemistry, University Medical Center of the Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.
Andrea ConradInstitute of Physiological Chemistry, University Medical Center of the Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.
Martin PurrioInstitute of Physiological Chemistry, University Medical Center of the Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.
Beat LutzInstitute of Physiological Chemistry, University Medical Center of the Johannes Gutenberg University of Mainz, 55128 Mainz, Germany.
Johannes Gutenberg University Mainz · DE

Funding

Department of Biotechnology BT/RLF/Re-entry/33/2017
6 · The paper itself

Abstract

High-calorie diets and chronic stress are major contributors to the development of obesity and metabolic disorders. These two risk factors regulate the activity of the sympathetic nervous system (SNS). The present study showed a key role of the cannabinoid type 1 receptor (CB1) in dopamine β-hydroxylase (

Indexed as

CannabinoidsNeuropeptide YAnimalsCorticosteroneDiet, High-FatDopamine beta-HydroxylaseEndocannabinoidsMiceNeuronsNorepinephrineObesityReceptor, Cannabinoid, CB1Weight GainCannabinoidsCorticosteroneDopamine beta-HydroxylaseEndocannabinoidsNeuropeptide YNorepinephrineReceptor, Cannabinoid, CB1catecholaminergic neuronsCB1 receptorneuropeptide Ynorepinephrineobesity

Identifiers

PMID36293486
PMCPMC9604114
OpenAlexW4306920555

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.