Evidence map›Paper›PMID 33949306›Full record

ArticleeLife2021

Elizabeth B Brown, Kreesha D Shah, Justin Palermo, Manali Dey, Anupama Dahanukar, Alex C Keene

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Progressive behavioral and cognitive decline inbioRxiv : the preprint server for biology · 2026
    Article
  3. Gustatory avoidance of fatty acids byProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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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

6 authors at 2 institutions in 1 country.

Elizabeth B BrownDepartment of Biological Sciences, Florida Atlantic University, Jupiter, United States.ORCID 0000-0003-0825-8199
Kreesha D ShahDepartment of Biological Sciences, Florida Atlantic University, Jupiter, United States.
Justin PalermoDepartment of Biological Sciences, Florida Atlantic University, Jupiter, United States.
Manali DeyInterdepartmental Neuroscience Program, University of California, Riverside, Riverside, United States.
Anupama DahanukarInterdepartmental Neuroscience Program, University of California, Riverside, Riverside, United States.
Alex C KeeneDepartment of Biological Sciences, Florida Atlantic University, Jupiter, United States.ORCID 0000-0001-6118-5537
Florida Atlantic University · USUniversity of California, Riverside · US

Funding

The neural basis of fatty acid tasteR01DC017390 · NIDCD · TEXAS A&M UNIVERSITY · PI DAHANUKAR, ANUPAMA ARUN, KEENE, ALEX C · 2018 to 2022
$1.5M
NIDCD NIH HHS R01 DC017390
6 · The paper itself

Abstract

Chemosensory systems are critical for evaluating the caloric value and potential toxicity of food. While animals can discriminate between thousands of odors, much less is known about the discriminative capabilities of taste systems. Fats and sugars represent calorically potent and attractive food sources that contribute to hedonic feeding. Despite the differences in nutritional value between fats and sugars, the ability of the taste system to discriminate between different rewarding tastants is thought to be limited. In

Indexed as

AnimalsCRISPR-Cas SystemsDrosophilaFatty AcidsFemaleGene DeletionNeuronsOdorantsSensory Receptor CellsTaste PerceptionFatty AcidsD. melanogasterfatty acidsneurosciencesensory plasticitytaste

Identifiers

PMID33949306
PMCPMC8169106
OpenAlexW3158135240

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.