Evidence map›Paper›PMID 37051560›Full record

ReviewNeuroscience insights2023

The Promise of an Evolutionary Perspective of Alcohol Consumption.

Benjamin L Clites, Hans A Hofmann, Jonathan T Pierce

Open access · goldAbstract readReview
In one paragraph

Review in Neuroscience insights, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Alcohol Use and Moffitt's Maturity Gap Thesis for Adolescent Offending: An Evolutionary Perspective and Analysis.Evolutionary psychology : an international journal of evolutionary approaches to psychology and behavior
    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.

Benjamin L ClitesDepartment of Neuroscience, University of Texas at Austin, Austin, TX, USA.
Hans A HofmannInstitute for Cellular & Molecular Biology, University of Texas at Austin, Austin, TX, USA.ORCID https://orcid.org/0000-0002-3335-330X
Jonathan T PierceDepartment of Neuroscience, University of Texas at Austin, Austin, TX, USA.ORCID https://orcid.org/0000-0002-9619-4713
The University of Texas at Austin · US

Funding

Neurochemical & Behavioral Correlates of ETOH EffectsT32AA007471 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI Kimberly Nixon · 1987 to 2026
$9.2M
NIAAA NIH HHS T32 AA007471
6 · The paper itself

Abstract

The urgent need for medical treatments of alcohol use disorders has motivated the search for novel molecular targets of alcohol response. Most studies exploit the strengths of lab animals without considering how these and other species may have adapted to respond to alcohol in an ecological context. Here, we provide an evolutionary perspective on the molecular and genetic underpinnings of alcohol consumption by reviewing evidence that alcohol metabolic enzymes have undergone adaptive evolution at 2 evolutionary junctures: first, to enable alcohol consumption accompanying the advent of a frugivorous diet in a primate ancestor, and second, to decrease the likelihood of excessive alcohol consumption concurrent with the spread of agriculture and fermentation in East Asia. By similarly considering how diverse vertebrate and invertebrate species have undergone natural selection for alcohol responses, novel conserved molecular targets of alcohol are likely be discovered that may represent promising therapeutic targets.

Indexed as

comparative approachEthanolgenetic variationselection

Identifiers

PMID37051560
PMCPMC10084549
OpenAlexW4362570637

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.