Peripheral blood gene-expression in heavy vs. moderate drinkers exposed to three types of personalized imagery
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ABSTRACT: Alterations in stress-related gene-expression may play a role in stress-related drinking and the risk for alcohol dependence. Microarrays were used to measure changes in gene-expression in peripheral blood in non-smoking, social drinking subjects exposed to three types of personalized imagery: neutral, stressful (but not alcohol- related), and alcohol-related cues. Gene-expression was measured at baseline, immediately after, and 1 hour after stimulus presentation. Subjects were allowed to drink up to 750cc of beer in a “taste-test” following stimulus presentation in each imagery condition, and the amount of beer consumed was recorded. Gene-expression levels were compared in 2 groups of non-smoking subjects (n=11/group): heavy drinkers (HD, defined as regular alcohol use over the past year of at least 8 standard drinks/week for women and at least 15 standard drinks/week for men), and moderate drinkers (MD, defined as up to 7 standard drinks/week for women and 14 standard drinks/week for men). 198 samples total. Total RNA isolated from PAXgene blood RNA tubes from heavy drinkers (n=11) and moderate drinkers (n=11) exposed to 3 different types of personalized imagery (stress, neutral, or alcohol-cue) at three time-points per condition (baseline, immediately after cue presentation,and 1 hour after cue presentation)(9 samples per subject).
Project description:Alterations in stress-related gene-expression may play a role in stress-related drinking and the risk for alcohol dependence. Microarrays were used to measure changes in gene-expression in peripheral blood in non-smoking, social drinking subjects exposed to three types of personalized imagery: neutral, stressful (but not alcohol- related), and alcohol-related cues. Gene-expression was measured at baseline, immediately after, and 1 hour after stimulus presentation. Subjects were allowed to drink up to 750cc of beer in a “taste-test” following stimulus presentation in each imagery condition, and the amount of beer consumed was recorded. Gene-expression levels were compared in 2 groups of non-smoking subjects (n=11/group): heavy drinkers (HD, defined as regular alcohol use over the past year of at least 8 standard drinks/week for women and at least 15 standard drinks/week for men), and moderate drinkers (MD, defined as up to 7 standard drinks/week for women and 14 standard drinks/week for men).
Project description:Background: The most important risk factors for head and neck squamous carcinoma (HNSCC) are tobacco smoking and alcohol consumption, while subgroups are caused by infection with human papillomaviruses (HPV) or Epstein-Barr virus (EBV). Here, we studied alterations of somatic copy-number in whole genome, p16 protein and TP53 mutations by alcohol drinking, smoking and viral infections. Methods: We conducted a prospective cohort study. DNA obtained from tumors and margin samples as well as peripheral blood was assayed by array comparative genomic hybridization using Agilent Whole Human Genome 180K. Mutations of p53 gene by direct sequencing, detection of HPV by polymerase-chain-reaction (PCR), quantification of EBV by reverse transcription-PCR and p16 immunohistochemical (IHC) staining were also performed. prospective cohort study: 225 tumor samples were analyzed by Agilent-022060 SurePrint G3 Human CGH miroarray 4x180K. Log2 Ratio (tumor sample DNA/normal DNA) were compared among none alcohol drinkers, moderate alcohol drinkers, heavy alcohol drinkers, none smokers, moderate smokers, heavy smokers and both. Sample characteristics weres scored as following; Human Papilloma Virus Infection (gene detected by PCR in tumor sample): positive=1; negative=0 p16 protein immunohistochemistry: positive=1; negative=0 tumor grade: matured=0; moderate=1; immature=2 Radiotherapy with or without chemotherapy after operation: performed =1; not performed =0 Recurrence/relapse: rec =1; not rec =0 suvival status:death=1; survive=0 smoking status (Pack year of smoking): none smoker=0; pack-year <20 = 1 (moderate smoker); pack-year <=20 = 2 (heavy smoker) alcohol drinking: Alcohol drinkers were divided into non-drinker or less than one drink per day =0: one and more but less than two drinks per day = moderate drinker 1: two and more drinks per day=heavy drinker 2: during the 20 years preceding their treatment for HNSCC. One drink was defined as containing approximately 10g of alcohol, which is considered equal to 30 ml of hard liquor, 100 ml of wine containing 12% alcohol, or 360 ml of beer.
Project description:Alcohol use disorders (AUD) are complex, moderately heritable, psychiatric disorders associated with heightened morbidity and mortality. Genome-wide association studies of AUD and drinks per week (DPW) have identified multiple risk loci however few studies have examined the intersection between the loci and genes associated with AUD and DPW, especially with respect to their functional and regulatory significance. In this study we use a muti-omics systems approach to identify causal variants and genes associated with AUD and DPW.
Project description:Alcohol Use Disorder (AUD) is a chronic, relapsing syndrome diagnosed by a heterogeneous set of behavioral signs and symptoms. There are no laboratory tests that provide direct objective evidence for diagnosis. Microarray and RNA-Seq technologies enable genome-wide transcriptome profiling at low costs and provide an opportunity to identify biomarkers to facilitate diagnosis, prognosis, and treatment of patients. Brain gene expression patterns can discriminate alcohol-dependent and non-dependent people and predict drugs that reduce drinking in rodents. However, access to brain tissue in living patients is not possible. Blood contains cellular and extracellular RNAs that provide disease-relevant information for some brain diseases. We hypothesized that blood gene expression profiles can be used to diagnose AUD. We profiled brain (prefrontal cortex, amygdala, and hypothalamus) and blood gene expression levels in C57BL/6J mice using RNA-seq one week after chronic intermittent ethanol (CIE) exposure, a mouse model of alcohol dependence. To determine the preservation of gene expression levels between blood and brain, we calculated the Spearman correlation coefficient between blood and brain mean gene expression levels across all subjects and found a high degree of preservation (rho range: [0.50, 0.67]) with hundreds of transcripts in blood correlated with their brain transcript levels. To determine whether the transcriptional response to alcohol dependence was similar in blood and brain, we studied the overlapping differentially expressed genes (DEGs) and gene coexpression networks. Although there was small overlap between blood and brain DEGs, there was considerable overlap of gene networks perturbed after CIE related to cell-cell signaling (e.g., GABA and glutamate receptor signaling, endocannabinoid signaling, synaptogenesis), immune responses (e.g., antigen presentation, communication between innate and adaptive immune systems), and protein processing / mitochondrial functioning (e.g., ubiquitination, unfolded protein responses, oxidative phosphorylation). To determine whether blood gene expression can predict alcohol dependence status, blood gene expression data were used to train classifiers (logistic regression, random forest, and partial least squares discriminant analysis), which were highly accurate at predicting alcohol dependence status (maximum AUC for females: 90.1%; males: 80.5%). These results suggest that gene expression profiles from peripheral blood samples contain a biological signature of alcohol dependence that can discriminate between alcohol-dependent and non-dependent subjects.
Project description:Purpose: The goal of this study to examine mRNA transcriptomic changes in reward-related brain regions of subjects with alcohol use disorder. Methods: Total RNAs were extracted from postmortem amygdala of 12 AUD and 12 control subjects. rRNA depletion RNA sequencing was performed and the sequence reads were processed using the bulk RNA-seq processing pipeline Pipeliner workflow (Federico et al. Front Genet 2019; 10, 614). AUD-associated mRNA transcriptomic changes were analyzed by the Limma-Voom method. Results: Differentially expressed mRNAs (absolute FC>2.0 & P<0.05) were identified in postmortem amygdala of subjects with alcohol use disorder (AUD). Chronic alcohol consumption may alter mRNA transcriptome profiles in reward-related brain regions, resulting in alcohol-induced neuroadaptations.
Project description:Purpose: The goal of this study to examine mRNA transcriptomic changes in reward-related brain regions of subjects with alcohol use disorder. Methods: Total RNAs were extracted from postmortem nucleus accumbens of 12 AUD and 12 control subjects. rRNA depletion RNA sequencing was performed and the sequence reads were processed using the bulk RNA-seq processing pipeline Pipeliner workflow (Federico et al. Front Genet 2019; 10, 614). AUD-associated mRNA transcriptomic changes were analyzed by the Limma-Voom method. Results: Differentially expressed mRNAs (absolute FC>2.0 & P<0.05) were identified in postmortem nucleus accumbens of subjects with alcohol use disorder (AUD). Chronic alcohol consumption may alter mRNA transcriptome profiles in reward-related brain regions, resulting in alcohol-induced neuroadaptations.
Project description:Purpose: The goal of this study to examine mRNA transcriptomic changes in reward-related brain regions of subjects with alcohol use disorder. Methods: Total RNAs were extracted from postmortem prefrontal cortex of 12 AUD and 12 control subjects. rRNA depletion RNA sequencing was performed and the sequence reads were processed using the bulk RNA-seq processing pipeline Pipeliner workflow (Federico et al. Front Genet 2019; 10, 614). AUD-associated mRNA transcriptomic changes were analyzed by the Limma-Voom method. Results: Differentially expressed mRNAs (absolute FC>2.0 & P<0.05) were identified in postmortem prefrontal cortex of subjects with alcohol use disorder (AUD). Chronic alcohol consumption may alter mRNA transcriptome profiles in reward-related brain regions, resulting in alcohol-induced neuroadaptations.
Project description:Purpose: The goal of this study to examine mRNA transcriptomic changes in reward-related brain regions of subjects with alcohol use disorder. Methods: Total RNAs were extracted from postmortem putamen of 12 AUD and 12 control subjects. rRNA depletion RNA sequencing was performed and the sequence reads were processed using the bulk RNA-seq processing pipeline Pipeliner workflow (Federico et al. Front Genet 2019; 10, 614). AUD-associated mRNA transcriptomic changes were analyzed by the Limma-Voom method. Results: Differentially expressed mRNAs (absolute FC>2.0 & P<0.05) were identified in postmortem putamen of subjects with alcohol use disorder (AUD). Chronic alcohol consumption may alter mRNA transcriptome profiles in reward-related brain regions, resulting in alcohol-induced neuroadaptations.
Project description:Purpose: The goal of this study to examine mRNA transcriptomic changes in reward-related brain regions of subjects with alcohol use disorder. Methods: Total RNAs were extracted from postmortem cerebellum of 12 AUD and 12 control subjects. rRNA depletion RNA sequencing was performed and the sequence reads were processed using the bulk RNA-seq processing pipeline Pipeliner workflow (Federico et al. Front Genet 2019; 10, 614). AUD-associated mRNA transcriptomic changes were analyzed by the Limma-Voom method. Results: Differentially expressed mRNAs (absolute FC>2.0 & P<0.05) were identified in postmortem cerebellum of subjects with alcohol use disorder (AUD). Chronic alcohol consumption may alter mRNA transcriptome profiles in reward-related brain regions, resulting in alcohol-induced neuroadaptations.
Project description:Purpose: The goal of this study to examine mRNA transcriptomic changes in reward-related brain regions of subjects with alcohol use disorder. Methods: Total RNAs were extracted from postmortem hippocampus of 12 AUD and 12 control subjects. rRNA depletion RNA sequencing was performed and the sequence reads were processed using the bulk RNA-seq processing pipeline Pipeliner workflow (Federico et al. Front Genet 2019; 10, 614). AUD-associated mRNA transcriptomic changes were analyzed by the Limma-Voom method. Results: Differentially expressed mRNAs (absolute FC>2.0 & P<0.05) were identified in postmortem hippocampus of subjects with alcohol use disorder (AUD). Chronic alcohol consumption may alter mRNA transcriptome profiles in reward-related brain regions, resulting in alcohol-induced neuroadaptations.