Evidence map›Paper›PMID 40201238›Full record

ReviewComplex psychiatry

Epigenetic Insights into Substance Use Disorder and Associated Psychiatric Conditions.

Ambrose Loc Ngo, Christopher M Ahmad, Niki Gharavi Alkhansari, Linda Nguyen, Huiping Zhang

Abstract readReview
In one paragraph

Review in Complex psychiatry. 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. Review
  2. Review
  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

5 authors.

Ambrose Loc NgoCollege of Medicine, Kansas City University, Kansas City, MO, USA.
Christopher M AhmadCollege of Medicine, Kansas City University, Kansas City, MO, USA.
Niki Gharavi AlkhansariCollege of Medicine, Kansas City University, Kansas City, MO, USA.
Linda NguyenCollege of Pharmacy, Western University, Pomona, CA, USA.
Huiping ZhangDepartment of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.

Funding

Identifying Brain Epitranscriptomic Changes Associated with Alcohol Use DisorderR01AA029758 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Huiping Zhang · 2022 to 2026
$2.8M
NIAAA NIH HHS R01 AA029758
6 · The paper itself

Abstract

Background: Substance use disorder (SUD) is closely associated with epigenetic modifications that significantly impact mental health outcomes. Alcohol and drug misuse induce widespread changes in the epigenome and transcriptome of the central nervous system, disrupting critical processes such as reward signaling and emotional regulation. These alterations in epigenetic regulation and gene expression often persist even after substance cessation, potentially contributing to the onset or worsening of psychiatric conditions, including schizophrenia, depression, stress, and anxiety. Summary: This review delves into key epigenetic mechanisms underlying SUD and its comorbid psychiatric disorders, with a focus on DNA methylation, histone modifications, and noncoding RNA regulation. Additionally, it examines the influence of environmental and biological factors on the epigenome and evaluates emerging epigenetic-based therapeutic strategies aimed at treating SUD and related psychiatric conditions. Key Messages: Gaining a deeper understanding of the epigenetic mechanisms driving SUD and its associated psychiatric disorders is crucial for the development of effective therapeutic interventions. This review highlights the potential of epigenetic-based pharmacological strategies to mitigate the societal and personal burdens linked to SUD and its mental health complications.

Indexed as

ComorbidityEpigeneticsPsychiatric conditionsSubstance use disorder

Identifiers

PMID40201238
PMCPMC11975344

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.