Evidence map›Paper›PMID 25642767›Full record

ReviewThe Journal of clinical investigation2015

Intestinal lipid-derived signals that sense dietary fat.

Nicholas V DiPatrizio, Daniele Piomelli

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 98 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Gut microbe-derivedProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. The endocannabinoid system in the adipose organ.Reviews in endocrine & metabolic disorders · 2022
    Review
  16. Review
  17. Review
  18. Article
  19. Observational
  20. 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

2 authors.

Nicholas V DiPatrizio
Daniele Piomelli

Funding

Role of oleoylethanolamide in the control of food intakeR01DK073955 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI PIOMELLI, DANIELE · 2007 to 2010
$1.3M
A Role for Endocannabinoids in the Control of Dietary Fat IntakeR00DA034009 · NIDA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI DIPATRIZIO, NICHOLAS VINCENT · 2015 to 2017
$857k
A Role for Endocannabinoids in the Control of Dietary Fat IntakeK99DA034009 · NIDA · UNIVERSITY OF CALIFORNIA-IRVINE · PI DIPATRIZIO, NICHOLAS VINCENT · 2013 to 2014
$253k
NIDA NIH HHS K99 DA034009NIDA NIH HHS K99/R00 DA034009NIDA NIH HHS R00 DA034009NIDDK NIH HHS DK073955NIDDK NIH HHS R01 DK073955
6 · The paper itself

Abstract

Fat is a vital macronutrient, and its intake is closely monitored by an array of molecular sensors distributed throughout the alimentary canal. In the mouth, dietary fat constituents such as mono- and diunsaturated fatty acids give rise to taste signals that stimulate food intake, in part by enhancing the production of lipid-derived endocannabinoid messengers in the gut. As fat-containing chyme enters the small intestine, it causes the formation of anorexic lipid mediators, such as oleoylethanolamide, which promote satiety. These anatomically and functionally distinct responses may contribute to the homeostatic control and, possibly, the pathological dysregulation of food intake.

Indexed as

AnimalsAppetite RegulationDietary FatsEatingEndocannabinoidsHumansIntestinesSatiationSolitary NucleusTasteDietary FatsEndocannabinoids

Identifiers

PMID25642767
PMCPMC4362267
OpenAlexW2001700302

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.