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Caenorhabditis elegans Show Preference for Stimulants and Potential as a Model Organism for Medications Screening

Overview of attention for article published in Frontiers in Physiology, August 2018
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
Caenorhabditis elegans Show Preference for Stimulants and Potential as a Model Organism for Medications Screening
Published in
Frontiers in Physiology, August 2018
DOI 10.3389/fphys.2018.01200
Pubmed ID
Authors

Eric A. Engleman, Kevin B. Steagall, Kristin E. Bredhold, Michaela Breach, Hannah L. Kline, Richard L. Bell, Simon N. Katner, Bethany S. Neal-Beliveau

Abstract

The nematode Caenorhabditis elegans (C. elegans) is a popular invertebrate model organism to study neurobiological disease states. This is due in part to the intricate mapping of all neurons and synapses of the entire animal, the wide availability of mutant strains, and the genetic and molecular tools that can be used to manipulate the genome and gene expression. We have shown that, C. elegans develops a conditioned preference for cues that had previously been paired with either cocaine or methamphetamine exposure that is dependent on dopamine neurotransmission, similar to findings using place conditioning with rats and mice. In the current study, we show C. elegans also display a preference for, and self-exposure to, cocaine and nicotine. This substance of abuse (SOA) preference response can be selectively blocked by pretreatment with naltrexone and is consistent with the recent discovery of an opioid receptor system in C. elegans. In addition, pre-exposure to the smoking cessation treatment varenicline also inhibits self-exposure to nicotine. Exposure to concentrations of treatments that inhibit SOA preference/self-exposure did not induce any significant inhibition of locomotor activity or affect food or benzaldehyde chemotaxis. These data provide predictive validity for the development of high-throughput C. elegans behavioral medication screens. These screens could enable fast and accurate generation of data to identify compounds that may be effective in treating human addiction. The successful development and validation of such models would introduce powerful and novel tools in the search for new pharmacological treatments for substance use disorders, and provide a platform to study the mechanisms that underlie addictions.

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The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 14%
Researcher 7 14%
Student > Bachelor 5 10%
Other 4 8%
Unspecified 3 6%
Other 8 16%
Unknown 16 32%
Readers by discipline Count As %
Neuroscience 9 18%
Biochemistry, Genetics and Molecular Biology 7 14%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Agricultural and Biological Sciences 4 8%
Unspecified 2 4%
Other 5 10%
Unknown 19 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 May 2019.
All research outputs
#6,332,157
of 23,103,436 outputs
Outputs from Frontiers in Physiology
#2,957
of 13,847 outputs
Outputs of similar age
#110,958
of 334,789 outputs
Outputs of similar age from Frontiers in Physiology
#139
of 473 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,847 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,789 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.