Evidence map›Paper›PMID 37986987›Full record

ArticlebioRxiv : the preprint server for biology2023

A vasopressin circuit that modulates sex-specific social interest and anxiety-like behavior in mice.

Nicole Rigney, Elba Campos-Lira, Matthew K Kirchner, Wei Wei, Selma Belkasim, Rachael Beaumont, Sumeet Singh, Geert J de Vries, Aras Petrulis

Open access · greenAbstract 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

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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Nicole RigneyEmory University.ORCID 0000-0002-6315-8628
Elba Campos-LiraGeorgia State University.
Matthew K KirchnerGeorgia State University.
Wei WeiGeorgia State University.
Selma BelkasimYale University.
Rachael BeaumontCornell University.
Sumeet SinghGeorgia State University.
Geert J de VriesGeorgia State University.
Aras PetrulisGeorgia State University.
Georgia State University · USCornell University · USEmory University · USYale University · US

Funding

Sex Differences in the Neural Control of Social Behavior; SupplementR01MH121603 · NIMH · GEORGIA STATE UNIVERSITY · PI DE VRIES, GEERT J., PETRULIS, ARAS T · 2020 to 2024
$2.0M
The role of sexually dimorphic vasopressin in social behaviorF31MH125659 · NIMH · GEORGIA STATE UNIVERSITY · PI RIGNEY, NICOLE · 2021 to 2023
$120k
NIMH NIH HHS F31 MH125659NIMH NIH HHS R01 MH121603
6 · The paper itself

Abstract

One of the largest sex differences in brain neurochemistry is the male-biased expression of the neuropeptide arginine vasopressin (AVP) within the vertebrate social brain. Despite the long-standing implication of AVP in social and anxiety-like behavior, the precise circuitry and anatomical substrate underlying its control are still poorly understood. By employing optogenetic manipulation of AVP cells within the bed nucleus of the stria terminalis (BNST), we have unveiled a central role for these cells in promoting social investigation, with a more pronounced role in males relative to females. These cells facilitate male social investigation and anxiety-like behavior through their projections to the lateral septum (LS), an area with the highest density of sexually-dimorphic AVP fibers. Blocking the vasopressin 1a receptor (V1aR) in the LS eliminated stimulation-mediated increases in these behaviors. Together, these findings establish a distinct BNST AVP → LS V1aR circuit that modulates sex-specific social interest and anxiety-like behavior.

Identifiers

PMID37986987
PMCPMC10659331
OpenAlexW4388494696

What OpenQuestion holds

Textmetadata
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.