Evidence map›Paper›PMID 42569702›Full record

ReviewEnvironmental epigenetics2026

Silent regulators of trauma: the microRNA blueprint underlying post-traumatic stress disorder biology.

Yogesh Dwivedi, Kevin Prall, Richard C Shelton

Abstract readReview
In one paragraph

Review in Environmental epigenetics, 2026. 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

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

3 authors.

Yogesh DwivediDepartment of Psychiatry and Behavioral Neurobiology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35242, United States.ORCID https://orcid.org/0000-0002-5359-4717
Kevin PrallDepartment of Psychiatry and Behavioral Neurobiology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35242, United States.
Richard C SheltonDepartment of Psychiatry and Behavioral Neurobiology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35242, United States.

Funding

Novel regulatory role of nuclear miRNAs in repatterning the transcriptional and post-transcriptional dynamics in MDD brainR01MH128994 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Yogesh Dwivedi · 2022 to 2026
$3.5M
Plasma Exosomal MicroRNAs as Promising Novel Biomarkers for Suicidality and Treatment OutcomeR01MH107183 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DWIVEDI, YOGESH, SHELTON, RICHARD CHARLES · 2015 to 2019
$3.5M
MicroRNA Correlates of Childhood Maltreatment and SuicidalityR01MH124248 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DWIVEDI, YOGESH, SHELTON, RICHARD CHARLES · 2021 to 2025
$3.4M
Epitranscriptomic Mapping of Novel N6-Adenosine-based RNA Methylation in MDD BrainR01MH118884 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DWIVEDI, YOGESH · 2019 to 2023
$3.0M
Neural-Derived Plasma Exosomal MicroRNAs As Promising Novel Biomarkers for Suicidality and Treatment Outcome in AdolescentsR01MH130539 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DWIVEDI, YOGESH, SHELTON, RICHARD CHARLES · 2022 to 2024
$2.2M
Novel cell type-specific epigenetic role of nuclear lncRNAs in 3D heterochromatization and transcriptional repatterning in the MDD brainR56MH138596 · NIMH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DWIVEDI, YOGESH · 2025 to 2025
$730k
NIMH NIH HHS R01 MH107183NIMH NIH HHS R01 MH118884NIMH NIH HHS R01 MH124248NIMH NIH HHS R01 MH128994NIMH NIH HHS R01 MH130539NIMH NIH HHS R56 MH138596
6 · The paper itself

Abstract

Post-traumatic stress disorder (PTSD) is a chronic and disabling psychiatric condition that affects millions of people worldwide, producing persistent disturbances in emotional regulation, cognition, and physiological functioning. Although exposure to traumatic or life-threatening events is a defining feature of PTSD, only a subset of exposed individuals develop enduring symptoms, highlighting variability in vulnerability and recovery. The biological mechanisms underlying PTSD remain incompletely understood. Increasing evidence suggests that epigenetic processes play a central role in shaping individual responses to trauma. Among these, microRNAs (miRNAs), small, noncoding RNA molecules that fine-tune gene expression by regulating the translation and stability of multiple target genes simultaneously, have emerged as important epigenetic regulators of PTSD-related neurobiology. Because a single miRNA can influence extensive gene networks, alterations in miRNA expression affect a broad range of biological processes relevant to PTSD, including hypothalamic-pituitary-adrenal (HPA) axis function, synaptic plasticity, immune signaling, and memory formation. Recent studies demonstrate that dysregulated miRNAs can modify glucocorticoid receptor sensitivity, shape fear memory acquisition and extinction, and contribute to the proinflammatory phenotype frequently observed in PTSD. Progress of miRNA research in this field has been driven by integrative strategies that combine human peripheral tissues, plasma, and extracellular vesicles, complemented by animal models of stress and fear learning, including fear conditioning, restraint stress, and single-prolonged stress paradigms. Together, these approaches provide converging evidence for a critical role of miRNAs in PTSD pathophysiology. This review synthesizes findings across species to clarify miRNA-mediated mechanisms and highlight future directions for biomarker discovery and therapeutic development.

Indexed as

epigenetics, animal models, humansmicroRNAs, biomarkerPTSD

Identifiers

PMID42569702
PMCPMC13450710

What OpenQuestion holds

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LicenceCC BY-NC
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.