Methamphetamine and Other Substance Use Disorder Genetics in Thailand
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ABSTRACT:
PROVIDER: PRJNA955367 | ENA |
REPOSITORIES: ENA
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Project description:Ex vivo large-scale proteomic analysis using LC-MS/MS in postmortem brains of patients with substance use disorder and controls. Brain tissue was collected postmortem after consent from the next of kin. As part of the clinical information, medical records were obtained and a detailed psychological autopsy was performed on all participants by interviewing the next-of-kin. Information regarding the psychiatric clinical phenotypes (evidence of depression, mania, and psychosis) stressful life events, age of drug use onset, types of drugs used, smoking and drinking history, and any co-morbidities, was obtained. A diagnosis of substance use disorder was confirmed based on the psychological autopsy, detailed medical records, and review of all relevant case information by three psychiatrists at a consensus meeting. The cause of death was obtained from the medical examiner’s report and toxicological findings after death.
2021-09-10 | PXD025269 | Pride
Project description:Genetic factors are strongly implicated in the susceptibility to develop externalizing syndromes such as attention deficit/hyperactivity disorder (ADHD), oppositional defiant disorder, conduct disorder, and substance use disorder (SUD). Variants in the ADGRL3 (LPHN3) gene predispose to ADHD and predict ADHD severity, disruptive behaviors comorbidity, long-term outcome, and response to treatment. In this study, we investigated whether variants within ADGRL3 are associated with SUD, a disorder that is frequently co-morbid with ADHD. Using family-based, case-control, and longitudinal samples from disparate regions of the world, recruited either for clinical, genetic epidemiological or pharmacogenomic studies of ADHD, we assembled recursive-partitioning frameworks (classification tree analyses) with clinical, demographic, and ADGRL3 genetic information to predict SUD susceptibility. Our results indicate that SUD can be efficiently and robustly predicted in ADHD participants. The genetic models used remained highly efficient in predicting SUD in a large sample of individuals with severe SUD from a psychiatric institution that were not ascertained on the basis of ADHD diagnosis, thus identifying ADGRL3 as a risk gene for SUD. Recursive partitioning analyses revealed that rs4860437 was the predominant predictive variant. This new methodological approach offers novel insights into higher order predictive interactions and offers a unique opportunity for translational application in the clinical assessment of patients at high risk for SUD
2020-04-01 | GSE112652 | GEO
Project description:Analysis of association between LPHN3 markers and substance use disorder
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Project description:Demographically Diverse Substance Use Disorder Cohorts of Dr. Stanley H. Weiss
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Project description:Genetic analysis of Substance Use Disorder using the Indiana Biobank data
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Project description:Demographically Diverse Substance Use Disorder Cohorts of Dr. Stanley H. Weiss
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Project description:Genetic analysis of Substance Use Disorder using the Indiana Biobank data
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Project description:To date, diagnosis of methamphetamine use disorder (MUD) is based primarily on the patient’s self-reports of drug-seeking behaviour and interviews with psychiatrists in the absence of objective biomarkers. As an effective clinical method for diagnosis of MUD is still not available, the development of potential biomarkers for more accurate diagnosis is imperative. Transcription profiling and discovery of biomarkers in the treatment and recovery periods of MUD patients can be used as scientific basis to provide a greater understanding of the disease and to facilitate decisions on whether to continue or not. In this study, RNA sequencing analysis was performed to profile transcripts from hair follicle cells of healthy controls and patients with MUD, and biomarkers were discovered at each transition states to be used to diagnose MUD. This study will present an important information to diagnose MUD using non-invasive biomarkers for human addicts and it will help to develop better pharmacological treatment of MUD in the future.
2023-05-31 | GSE227204 | GEO
Project description:Methamphetamine can trigger dopamine releasing in human brain, now used as abuse drug. Some studies have shown that specific genes and proteins responded to, methamphetamine, but little is known about the overall “omic” response of organisms to this illicit substance. Here we demonstrate that Drosophila melanogaster has the potential to give us significant insights into evolutionarily conserved responses to methamphetamine. We performed metabolome, proteome, and transciptome profiling with Drosophila treated with methamphetamine. The proteomic profiling revealed responses associated with known physiological problems that occur with methamphetamine usage in mammals. The metabolomic result showed that the metabolite trehalose was decreased significantly after methamphetamine exposure, suggesting an oxidative stress response to this drug. Many of the differential transcribed genes, including detoxification enzymes, had the potential transcription factor-binding motif YY1 associated with their upstream regulatory regions. YY1 is known to be responsive to amphetamines in mammals.
2010-10-31 | GSE16198 | GEO
Project description:Methamphetamine can trigger dopamine releasing in human brain, now used as abuse drug. Some studies have shown that specific genes and proteins responded to, methamphetamine, but little is known about the overall omic response of organisms to this illicit substance. Here we demonstrate that Drosophila melanogaster has the potential to give us significant insights into evolutionarily conserved responses to methamphetamine. We performed metabolome, proteome, and transciptome profiling with Drosophila treated with methamphetamine. The proteomic profiling revealed responses associated with known physiological problems that occur with methamphetamine usage in mammals. The metabolomic result showed that the metabolite trehalose was decreased significantly after methamphetamine exposure, suggesting an oxidative stress response to this drug. Many of the differential transcribed genes, including detoxification enzymes, had the potential transcription factor-binding motif YY1 associated with their upstream regulatory regions. YY1 is known to be responsive to amphetamines in mammals. For each sample, 20 virgin male flies were used to extract the mRNA. Three replicates were produced for each treatments. Two treatments were produced (control VS 0.6% 24 h meth-fed).
2010-10-30 | E-GEOD-16198 | biostudies-arrayexpress