Evidence map›Paper›PMID 33738372›Full record

ArticleCurrent opinion in physiology2021

Oral Signals of Short and Long Chain Fatty Acids: Parallel Taste Pathways to Identify Microbes and Triglycerides.

Emily C Hanselman, Nicholas J Amado, Paul A S Breslin

Open access · bronzeAbstract read
In one paragraph

Article in Current opinion in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Emily C HanselmanDepartment of Nutritional Sciences, Rutgers University, New Brunswick, NJ, USA.
Nicholas J AmadoDepartment of Nutritional Sciences, Rutgers University, New Brunswick, NJ, USA.
Paul A S BreslinDepartment of Nutritional Sciences, Rutgers University, New Brunswick, NJ, USA.
Rutgers, The State University of New Jersey · US

Funding

Role of Metabolic Sensing in Human Sweet TasteR01DC014286 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI BRESLIN, PAUL A. S, MARGOLSKEE, ROBERT F. · 2016 to 2020
$1.9M
Behavioral and neural measures of oral carbohydrate and sweetener reward signalsR21DC020365 · NIDCD · RUTGERS, THE STATE UNIV OF N.J. · PI BRESLIN, PAUL A. S · 2022 to 2023
$428k
NIDCD NIH HHS R01 DC014286NIDCD NIH HHS R21 DC020365
6 · The paper itself

Abstract

Both short chain fatty acids (SCFAs) and long chain fatty acids (LCFAs) rely on free fatty acid receptors to signal their presence to the body, but their individual detection and putative reward systems are different. These separate, yet parallel, taste signaling pathways allow us to distinguish microbe-produced from triglyceride-based fatty acids. Free SCFAs indicate that the food has been fermented and may still contain living, probiotic microbes that can colonize the gut. Free LCFAs indicate the presence of calorie-rich triglycerides in foods. By contrast, LCFAs stimulate endocannabinoids, which reinforce overconsumption of triglycerides. Here we examine the separate oral detection and putative reward systems for both LCFA and SCFAs, and introduce a novel dietary LC:SC ratio as a guideline to improve metabolism and health.

Indexed as

EndocannabinoidsFatty AcidsFermentationHealthLong chain fatty acidsNutrientsNutritionProbiotic MicrobesRewardShort chain fatty acidsTasteTriglycerides

Identifiers

PMID33738372
PMCPMC7963269
OpenAlexW3121640011

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.