Evidence map›Paper›PMID 38765062›Full record

ArticleNeurobiology of stress2024

Toll-like receptor 7: A novel neuroimmune target to reduce excessive alcohol consumption.

Ruth L Allard, Jody Mayfield, Riccardo Barchiesi, Nihal A Salem, R Dayne Mayfield

Abstract read
In one paragraph

Article in Neurobiology of stress, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  9. Review
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

5 authors.

Ruth L AllardWaggoner Center for Alcohol and Addiction Research and The University of Texas at Austin, Austin, TX, 78712, USA.
Jody MayfieldWaggoner Center for Alcohol and Addiction Research and The University of Texas at Austin, Austin, TX, 78712, USA.
Riccardo BarchiesiWaggoner Center for Alcohol and Addiction Research and The University of Texas at Austin, Austin, TX, 78712, USA.
Nihal A SalemWaggoner Center for Alcohol and Addiction Research and The University of Texas at Austin, Austin, TX, 78712, USA.
R Dayne MayfieldWaggoner Center for Alcohol and Addiction Research and The University of Texas at Austin, Austin, TX, 78712, USA.

Funding

GENE EXPRESSION IN THE HUMAN ALCOHOLIC BRAINR01AA012404 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI MAYFIELD, ROY DAYNE · 2000 to 2025
$10.7M
Next Generation Sequencing of Human Alcoholic BrainU01AA020926 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI Roy DAYNE MAYFIELD · 2011 to 2026
$6.7M
From FASD to AUDs: Strategies for Preventing Alcohol AddictionsK00AA029955 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI SALEM, NIHAL A · 2021 to 2024
$350k
NIAAA NIH HHS K00 AA029955NIAAA NIH HHS R01 AA012404NIAAA NIH HHS U01 AA020926
6 · The paper itself

Abstract

Toll-like receptors (TLRs) are a family of innate immune receptors that recognize molecular patterns in foreign pathogens and intrinsic danger/damage signals from cells. TLR7 is a nucleic acid sensing endosomal TLR that is activated by single-stranded RNAs from microbes or by small noncoding RNAs that act as endogenous ligands. TLR7 signals through the MyD88 adaptor protein and activates the transcription factor interferon regulatory factor 7 (IRF7). TLR7 is found throughout the brain and is highly expressed in microglia, the main immune cells of the brain that have also been implicated in alcohol drinking in mice. Upregulation of

Indexed as

Alcohol use disorderIRF7Neuroimmune signalingR837R848Small noncoding RNAsToll-like receptor 7

Identifiers

PMID38765062
PMCPMC11101708

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.