Evidence map›Paper›PMID 35226060›Full record

ArticleChemical senses2022

Understanding responses to chemical mixtures: looking forward from the past.

Charles D Derby, Timothy S McClintock, John Caprio

Abstract read
In one paragraph

Article in Chemical senses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Charles D DerbyNeuroscience Institute, Georgia State University, Atlanta, GA, USA.ORCID 0000-0002-5599-4976
Timothy S McClintockDepartment of Physiology, University of Kentucky, Lexington, KY, USA.ORCID 0000-0002-4243-5323
John CaprioDepartment of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA.

Funding

In vivo patterns of receptor activation by odorantsR01DC014468 · NIDCD · UNIVERSITY OF KENTUCKY · PI MCCLINTOCK, TIMOTHY S · 2016 to 2020
$2.4M
National Science FoundationNIH HHSWhitehall Foundation
6 · The paper itself

Abstract

Our goal in this article is to provide a perspective on how to understand the nature of responses to chemical mixtures. In studying responses to mixtures, researchers often identify "mixture interactions"-responses to mixtures that are not accurately predicted from the responses to the mixture's individual components. Critical in these studies is how to predict responses to mixtures and thus to identify a mixture interaction. We explore this issue with a focus on olfaction and on the first level of neural processing-olfactory sensory neurons-although we use examples from taste systems as well and we consider responses beyond sensory neurons, including behavior and psychophysics. We provide a broadly comparative perspective that includes examples from vertebrates and invertebrates, from genetic and nongenetic animal models, and from literature old and new. In the end, we attempt to recommend how to approach these problems, including possible future research directions.

Indexed as

Olfactory Receptor NeuronsSmellAnimalsSensory Receptor Cellschemical sensesmixture enhancementmixture interactionmixture suppressionolfactiontaste

Identifiers

PMID35226060
PMCPMC8883806

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.