Evidence map›Paper›PMID 37873091›Full record

ArticlebioRxiv : the preprint server for biology2023

Inputs to the locus coeruleus from the periaqueductal gray and rostroventral medulla shape opioid-mediated descending pain modulation.

Susan T Lubejko, Giulia Livrizzi, Janki Patel, Jean C Yung, Tony L Yaksh, Matthew R Banghart

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

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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

5 · Who and what money

Authors and funding

6 authors.

Susan T LubejkoDepartment of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.
Giulia LivrizziDepartment of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.
Janki PatelDepartment of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.
Jean C YungDepartment of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.
Tony L YakshDepartments of Anesthesiology and Pharmacology, University of California San Diego, La Jolla, CA, 92093, USA.
Matthew R BanghartDepartment of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.

Funding

Neurosciences Graduate Training ProgramT32NS061847 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Brenda L Bloodgood · 2008 to 2026
$7.7M
Compartment-specific signaling of striatal opioid peptides in reward-guided behaviorR00DA034648 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BANGHART, MATTHEW R. · 2017 to 2019
$747k
NIDA NIH HHS R00 DA034648NINDS NIH HHS T32 NS061847
6 · The paper itself

Abstract

The supraspinal descending pain modulatory system (DPMS) shapes pain perception via monoaminergic modulation of sensory information in the spinal cord. However, the role and synaptic mechanisms of descending noradrenergic signaling remain unclear. Here, we establish that noradrenergic neurons of the locus coeruleus (LC) are essential for supraspinal opioid antinociception. Unexpectedly, given prior emphasis on descending serotonergic pathways, we find that opioid antinociception is primarily driven by excitatory output from the ventrolateral periaqueductal gray (vlPAG) to the LC. Furthermore, we identify a previously unknown opioid-sensitive inhibitory input from the rostroventromedial medulla (RVM), the suppression of which disinhibits LC neurons to drive spinal noradrenergic antinociception. We also report the presence of prominent bifurcating outputs from the vlPAG to the LC and the RVM. Our findings significantly revise current models of the DPMS and establish a novel supraspinal antinociceptive pathway that may contribute to multiple forms of descending pain modulation.

Identifiers

PMID37873091
PMCPMC10592708

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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.