Evidence map›Paper›PMID 41069685›Full record

ArticleBiological psychiatry global open science2025

Transcriptomic Architecture of Weak Versus Strong Contextual Fear Extinction Learning Uncovers Extinction-Suppressive Role of TIA1.

Maria I Bonilla, Hae-Lim Lee, Stephen Foster, In-Jung Kim, Andrii Rudenko

Abstract read
In one paragraph

Article in Biological psychiatry global open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Maria I BonillaDepartment of Biology, City College, City University of New York, New York, New York.
Hae-Lim LeeDepartment of Cellular and Molecular Physiology, Yale University School of Medicine, New Haven, Connecticut.
Stephen FosterDepartment of Psychology, Penn State York, York, Pennsylvania.
In-Jung KimDepartment of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, Connecticut.
Andrii RudenkoDepartment of Biology, City College, City University of New York, New York, New York.

Funding

Yale Core Grant for Vision ResearchP30EY026878 · NEI · YALE UNIVERSITY · PI Jonathan B Demb · 2016 to 2026
$7.1M
Molecular Genetics of Visual Circuit Assembly in the Developing Superior ColliculusR01EY031751 · NEI · YALE UNIVERSITY · PI KIM, IN-JUNG · 2020 to 2024
$2.1M
NEI NIH HHS P30 EY026878NEI NIH HHS R01 EY031751
6 · The paper itself

Abstract

Background: Extinction, the capacity for an individual to inhibit or diminish fear memories, is a critical aspect of fear processing. In humans, weak extinction learning is often observed in anxiety and fear-related disorders such as posttraumatic stress disorder. However, the mechanisms behind regulating extinction and determining individual variability in extinction learning remain poorly understood. Methods: To investigate the molecular basis of interindividual and sex-related differences in the ability to extinguish fear, extinction learning was analyzed in inbred wild-type male and female mice. Contextual fear conditioning and extinction were combined with profiling of the hippocampal transcriptomes associated with weak and strong extinction learning and genetic manipulations to extend our transcriptomic findings. Results: We identified significant sex-dependent and -independent differences in hippocampal gene expression between weak and strong extinction learner animals. Very high transcriptomic overlap between weak learner males and females was especially surprising, showing upregulation of multiple genes associated with neurotoxic insult and cellular stress, including a gene encoding a major stress regulator, a prion-like TIA1. Overexpression of Conclusions: We demonstrated the brain-based transcriptomic architecture associated with weak versus strong fear extinction learning in male and female mammalian subjects and identified the sex-independent extinction-suppressive role of hippocampal TIA1 upregulation. Our results should help to develop a better understanding of the mechanisms that underlie individual and sex-dependent differences in extinction and could inform novel therapeutic targets for pharmacological extinction augmentation strategies in fear-related disorders.

Indexed as

Fear extinction learningFear-related disordersHippocampusIndividual differencesTIA1Transcriptomic architecture

Identifiers

PMID41069685
PMCPMC12506486

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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.