Substance dependence: distinct transcriptomic patterns and neuroimmune system involvement in addiction pathogenesis and progression

Background It is well-established that consistent exposure to psychoactive substances can alter gene expression within the brain’s reward and motivation centers. These lasting changes in neuronal gene expression, including those driven by transcriptional mechanisms, can lead to a persistent craving for these substances, resulting in a definitive loss of behavioral control over consumption. Examining transcriptome alterations in individuals with established addiction may provide valuable insight into the mechanisms underlying addiction; however, research remains limited. Utilizing peripheral blood samples rather than solely postmortem brain tissues to evaluate gene expression changes may offer significant clinical benefits. Materials and methods We examined data from a cohort of patients addicted to alcohol and other psychoactive substances, including their drug use histories, psychometric status, and personality traits. We performed differential gene expression analysis to identify general and addiction-specific changes in peripheral blood transcriptomes in participants with different types of addiction. Results We detected patterns of expression changes in peripheral blood characteristic of addictions to psychoactive substances. Some of the changes were reflective of the overall pathological processes occurring in individuals with chronic substance use disorders. However, other changes, such as the hyperexpression of genes and dysregulation of functional pathways associated with the immune-inflammatory responses, may be indicative of the development of neuroinflammation and may illuminate its role in addiction development. Conclusion Changes in specific RNA levels could explain pathological processes occurring during chronic substance use. The identified candidate molecular markers of addiction in peripheral blood could contribute to enhanced diagnostic capabilities and facilitate the development of personalized treatment strategies. However, these peripheral blood findings lack functional or causal verification, representing candidate transcriptomic associations rather than confirmed molecular markers.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychiatry
Published
2026-11-06
DOI
https://doi.org/10.3389/fpsyt.2026.1904587
Primary Topic
Substance Abuse Treatment and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Substance dependence: distinct transcriptomic patterns and neuroimmune system involvement in addiction pathogenesis and progression

Kira Nebogina, Ekaterina D. Spektor, Sergey Mikhailovich Yudin, Anna Yakovchik et al.
1 links
Frontiers in Psychiatry
Substance Abuse Treatment and Outcomes
article

Substance dependence: distinct transcriptomic patterns and neuroimmune system involvement in addiction pathogenesis and progression

Kira Nebogina, Ekaterina D. Spektor, Sergey Mikhailovich Yudin, Anna Yakovchik, Olga Pavlova, Konstantin Vyshinsky, Еlena Zelenova, Mikhail V. Ivanov, Vladimir Sergeevich Yudin, Svetlana Shport, А. А. Мамчур, Daria Tarasova, Lorena R. Matkava, Pavlov Ka, Mikhail V. Terekhov, Veronika Igorevna Skvortsova, Vasilisa Petrova, Anton Keskinov, Aleksander Kozlov, Daria Kashtanova
article en

Abstract

Background It is well-established that consistent exposure to psychoactive substances can alter gene expression within the brain’s reward and motivation centers. These lasting changes in neuronal gene expression, including those driven by transcriptional mechanisms, can lead to a persistent craving for these substances, resulting in a definitive loss of behavioral control over consumption. Examining transcriptome alterations in individuals with established addiction may provide valuable insight into the mechanisms underlying addiction; however, research remains limited. Utilizing peripheral blood samples rather than solely postmortem brain tissues to evaluate gene expression changes may offer significant clinical benefits. Materials and methods We examined data from a cohort of patients addicted to alcohol and other psychoactive substances, including their drug use histories, psychometric status, and personality traits. We performed differential gene expression analysis to identify general and addiction-specific changes in peripheral blood transcriptomes in participants with different types of addiction. Results We detected patterns of expression changes in peripheral blood characteristic of addictions to psychoactive substances. Some of the changes were reflective of the overall pathological processes occurring in individuals with chronic substance use disorders. However, other changes, such as the hyperexpression of genes and dysregulation of functional pathways associated with the immune-inflammatory responses, may be indicative of the development of neuroinflammation and may illuminate its role in addiction development. Conclusion Changes in specific RNA levels could explain pathological processes occurring during chronic substance use. The identified candidate molecular markers of addiction in peripheral blood could contribute to enhanced diagnostic capabilities and facilitate the development of personalized treatment strategies. However, these peripheral blood findings lack functional or causal verification, representing candidate transcriptomic associations rather than confirmed molecular markers.

Frontiers in PsychiatryVol. 17
Ministry of Health of the Russian Federation (RU), Federal Medical Research Centre for Psychiatry and Narcology (RU), Federal State Budgetary Institution "Centre for Strategic Planning and Management of Biomedical Health Risks" of the Federal Medical and Biological Agency (RU), Federal Medical-Biological Agency (RU)
Good health and well-being
Openalex Percentile: Top 14%
Substance Abuse Treatment and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon