Evidence map›Paper›PMID 35401110›Full record

ReviewFrontiers in molecular neuroscience2022

Experience-Regulated Neuronal Signaling in Maternal Behavior.

Ileana Fuentes, Yoshikazu Morishita, Sofia Gonzalez-Salinas, Frances A Champagne, Shusaku Uchida, Gleb P Shumyatsky

Abstract readReview
In one paragraph

Review in Frontiers in molecular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Ileana FuentesDepartment of Genetics, Rutgers University, Piscataway, NJ, United States.
Yoshikazu MorishitaDepartment of Genetics, Rutgers University, Piscataway, NJ, United States.
Sofia Gonzalez-SalinasDepartment of Genetics, Rutgers University, Piscataway, NJ, United States.
Frances A ChampagneDepartment of Psychology, University of Texas at Austin, Austin, TX, United States.
Shusaku UchidaSK Project, Medical Innovation Center, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Gleb P ShumyatskyDepartment of Genetics, Rutgers University, Piscataway, NJ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maternal behavior is shaped and challenged by the changing developmental needs of offspring and a broad range of environmental factors, with evidence indicating that the maternal brain exhibits a high degree of plasticity. This plasticity is displayed within cellular and molecular systems, including both intra- and intercellular signaling processes as well as transcriptional profiles. This experience-associated plasticity may have significant overlap with the mechanisms controlling memory processes, in particular those that are activity-dependent. While a significant body of work has identified various molecules and intracellular processes regulating maternal care, the role of activity- and experience-dependent processes remains unclear. We discuss recent progress in studying activity-dependent changes occurring at the synapse, in the nucleus, and during the transport between these two structures in relation to maternal behavior. Several pre- and postsynaptic molecules as well as transcription factors have been found to be critical in these processes. This role reflects the principal importance of the molecular and cellular mechanisms of memory formation to maternal and other behavioral adaptations.

Indexed as

depressiongene tanscriptionmaternal caremicrotubulespostpartumpostpartum depressionsynapsesynaptic transport

Identifiers

PMID35401110
PMCPMC8987921

What Socratic 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 Socratic graph.