Transcriptional correlates of human substance use.
- Authors
- Lehrmann, Elin; Freed, William J
- Year
- 2008
- Journal
- Annals of the New York Academy of Sciences
- PMID
- 18991846
- DOI
- 10.1196/annals.1432.027
- PMCID
- PMC2593736
Drugs of abuse produce both acute and chronic changes in brain function, each of which is reflected in altered gene expression patterns. A number of large-scale gene expression studies have employed microarray analysis of human postmortem brain to identify transcriptional correlates of antemortem substance use. These studies have identified changes in transcripts encoding proteins functionally involved in neuronal function and synaptic plasticity, oligodendrocyte function and myelination, lipid and energy metabolism, mitochondrial function, oxidative phosphorylation, and cytoskeleton-related signal transduction. Overall, different types of substance use appear to share some of these effects, but there are more differences than similarities in gene expression for different types of substance use. Moreover, data suggest that transcriptional subtypes within a diagnostic classification of substance use may occur. These transcriptional subtypes, or "endophenotypes," may reflect complex patterns of substance use and co-morbid neuropsychiatric disorders or other diseases, which may interact with substance use to differentially affect gene expression. A broader understanding of the manner in which substance abuse causes long-term changes in brain function may be obtained from studies replicating and expanding the present gene expression data. In particular, cross-referencing comprehensive transcriptional data on regional and/or substance use-specific changes with genetic and proteomic data may further aid in identifying candidate biomarkers of altered brain function in substance-use disorders.
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| # | Section | Preview |
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| 20 | Introduction — Transcriptional subgroups within diagnostic classifications | clinical diagnosis.42–44 Cases belonging to different subtypes within the same diagnostic… |
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In this knowledge base
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| The genetic epidemiology of substance use disorder: A review. | 2017 | 28938182 |
External
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|---|---|---|---|---|
| A twin analysis to estimate genetic and environmental factors contributing to variation in weighted gene co-expression network module eigengenes. | Gillespie NA et al. | — | 2025 | → |
| Genetic Alterations in War-Related Post-Traumatic Stress Disorder: A Systematic Review. | Rajabi AH et al. | — | 2025 | → |
| Incidence of alternative splicing associated with sex and opioid effects in the axon guidance pathway. | Southey BR et al. | — | 2025 | → |
| Astrocyte-Neuron Interactions in Substance Use Disorders. | Harder EV et al. | — | 2024 | → |
| Genetic and environmental contributions to eigengene expression | Gillespie NA et al. | — | 2024 | — |
| A Systematic Review of DNA Methylation and Gene Expression Studies in Posttraumatic Stress Disorder, Posttraumatic Growth, and Resilience. | Mehta D et al. | — | 2020 | → |
| The genetic epidemiology of substance use disorder: A review. | Prom-Wormley EC et al. | — | 2017 | → |
| Comparative peptidomics analysis of neural adaptations in rats repeatedly exposed to amphetamine. | Romanova EV et al. | — | 2012 | → |
| Mining Affymetrix microarray data for long non-coding RNAs: altered expression in the nucleus accumbens of heroin abusers. | Michelhaugh SK et al. | — | 2011 | → |
| RNA and DNA microarrays. | Sealfon SC et al. | — | 2011 | → |