Evidence map›Paper›PMID 35240060›Full record

ArticleNeuron2022

From mating to mama bear: Distinct VMHvl cell types drive female reproductive state-dependent behavior.

Shuyu Wang, Kimberly L P Long, Devanand S Manoli

Abstract readComment
PubMed Publisher
In one paragraph

Article in Neuron, 2022. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Shuyu WangDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA 95158, USA; Center for Integrative Neuroscience, University of California, San Francisco, San Francisco, CA 95158, USA; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 95158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 95158, USA.
Kimberly L P LongDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA 95158, USA; Center for Integrative Neuroscience, University of California, San Francisco, San Francisco, CA 95158, USA; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 95158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 95158, USA.
Devanand S ManoliDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA 95158, USA; Center for Integrative Neuroscience, University of California, San Francisco, San Francisco, CA 95158, USA; Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 95158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 95158, USA. Electronic address: devanand.manoli@ucsf.edu.

Funding

TRAINING THE NEXT GENERATION OF MENTAL HEALTH RESEARCHERSR25MH060482 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DANIEL H MATHALON, Susan M. Voglmaier · 2000 to 2026
$5.2M
NIMH NIH HHS R25 MH060482
6 · The paper itself

Abstract

In this issue of Neuron, Liu et al. (2022) molecularly identify subsets of estrogen receptor-1-positive neurons within the female ventrolateral subdivision of the ventromedial hypothalamus activated during sexual receptivity versus agonistic behaviors in distinct reproductive states and demonstrate that these subsets control state-dependent changes in social behaviors.

Indexed as

Sexual Behavior, AnimalAnimalsFemaleHypothalamusNeuronsSocial Behavior

Identifiers

PMID35240060

What OpenQuestion holds

Textmetadata
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.