Aim: To clarify the psychological mechanism underlying the genetic risk of substance addiction at the first stage of drug use by adolescents.

Material And Methods: Genetic risk was evaluated by genotyping of 5 polymorphisms of the dopaminergic system genes (dopamine receptor D2 and D4 genes and tyrosine hydroxylase gene). Psychological testing was performed using the Russian version of Temperament and Character Inventory (TCI-125). Seventy-five adolescents, aged 14-17 years, (girls 32%), who misused alcohol, including 22 adolescents using drugs, were examined.

Results And Conclusion: The level of genetic risk was directly correlated with the probability of drug use by boys, for girls the correlation was not confirmed. The increase of the level of genetic risk for boys was correlated with the increase on the scale «Self-directedness» of TCI-125 that may reflect a probable tendency to replacement of negative information, feeling of illusory wellbeing. The findings clarify the direction of measures for the prevention of drug use.

Download full-text PDF

Source
http://dx.doi.org/10.17116/jnevro20161161129-12DOI Listing

Publication Analysis

Top Keywords

genetic risk
20
level genetic
12
risk substance
8
genetic
5
risk
5
[the forecast
4
forecast illicit
4
drug
4
illicit drug
4
drug adolescents
4

Similar Publications

Drug Development.

Alzheimers Dement

December 2024

GSK R&D, Stevenage, Hertfordshire, United Kingdom.

Background: Genetic variants in GRN, the gene encoding progranulin, are causal for or are associated with the risk of multiple neurodegenerative diseases. Modulating progranulin has been considered as a therapeutic strategy for neurodegenerative diseases including Frontotemporal Dementia (FTD) and Alzheimer's Disease (AD). Here, we integrated genetics with proteomic data to determine the causal human evidence for the therapeutic benefit of modulating progranulin in AD.

View Article and Find Full Text PDF

Background: Availability of amyloid modifying therapies will dramatically increase the need for disclosure of Alzheimer's disease (AD) related genetic and/or biomarker test results. The 21st Century Cares Act requires the immediate return of most medical test results, including AD biomarkers. A shortage of genetic counselors and dementia specialists already exists, thus driving the need for scalable methods to responsibly communicate test results.

View Article and Find Full Text PDF

Drug Development.

Alzheimers Dement

December 2024

Sage Bionetworks, Seattle, WA, USA.

Background: There is an urgent need for new therapeutic and diagnostic targets for Alzheimer's disease (AD). Dementia afflicts roughly 55 million individuals worldwide, and the prevalence is increasing with longer lifespans and the absence of preventive therapies. Given the demonstrated heterogeneity of Alzheimer's disease in biological and genetic components, it is critical to identify new therapeutic approaches.

View Article and Find Full Text PDF

Background: Genetic studies indicate a causal role for microglia, the innate immune cells of the central nervous system (CNS), in Alzheimer's disease (AD). Despite the progress made in identifying genetic risk factors, such as CD33, and underlying molecular changes, there are currently limited treatment options for AD. Based on the immune-inhibitory function of CD33, we hypothesize that inhibition of CD33 activation may reverse microglial suppression and restore their ability to resolve inflammatory processes and mitigate pathogenic amyloid plaques, which may be neuroprotective.

View Article and Find Full Text PDF

Background: Traumatic Brain Injury (TBI) is one of the most common nonheritable causes of Alzheimer's disease (AD). However, there is lack of effective treatment for both AD and TBI. We posit that network-based integration of multi-omics and endophenotype disease module coupled with large real-world patient data analysis of electronic health records (EHR) can help identify repurposable drug candidates for the treatment of TBI and AD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!