Browsing by Subject "Psychiatric illness"

Now showing 1 - 2 of 2
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    Clinical, genomic, and neurophysiological correlates of lifetime suicide attempts among individuals with alcohol dependence
    (medRxiv, 2023-04-29) Barr, Peter B.; Neale, Zoe; Schulman, Jessica; Mullins, Niamh; Zhang, Jian; Chorlian, David B.; Kamarajan, Chella; Kinreich, Sivan; Pandey, Ashwini K.; Pandey, Gayathri; Saenz de Viteri, Stacey; Acion, Laura; Bauer, Lance; Bucholz, Kathleen K.; Chan, Grace; Chao, Michael; Dick, Danielle M.; Edenberg, Howard J.; Foroud, Tatiana; Goate, Alison; Hesselbrock, Victor; Johnson, Emma C.; Kramer, John; Lai, Dongbing; Plawecki, Martin H.; Salvatore, Jessica E.; Wetherill, Leah; Agrawal, Arpana; Porjesz, Bernice; Meyers, Jacquelyn L.; Medical and Molecular Genetics, School of Medicine
    Research has identified clinical, genomic, and neurophysiological markers associated with suicide attempts (SA) among individuals with psychiatric illness. However, there is limited research among those with an alcohol use disorder, despite their disproportionately higher rates of SA. We examined lifetime SA in 4,068 individuals with DSM-IV alcohol dependence from the Collaborative Study on the Genetics of Alcoholism (23% lifetime suicide attempt; 53% female; 17% Admixed African American ancestries; mean age: 38). We 1) explored clinical risk factors associated with SA, 2) conducted a genome-wide association study of SA, 3) examined whether individuals with a SA had elevated polygenic scores for comorbid psychiatric conditions (e.g., alcohol use disorders, lifetime suicide attempt, and depression), and 4) explored differences in electroencephalogram neural functional connectivity between those with and without a SA. One gene-based finding emerged, RFX3 (Regulatory Factor X, located on 9p24.2) which had supporting evidence in prior research of SA among individuals with major depression. Only the polygenic score for suicide attempts was associated with reporting a suicide attempt (OR = 1.20, 95% CI = 1.06, 1.37). Lastly, we observed decreased right hemispheric frontal-parietal theta and decreased interhemispheric temporal-parietal alpha electroencephalogram resting-state coherences among those participants who reported a SA relative to those who did not, but differences were small. Overall, individuals with alcohol dependence who report SA appear to experience a variety of severe comorbidities and elevated polygenic risk for SA. Our results demonstrate the need to further investigate suicide attempts in the presence of substance use disorders.
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    Immune Response Is Key to Genetic Mechanisms of SARS-CoV-2 Infection With Psychiatric Disorders Based on Differential Gene Expression Pattern Analysis
    (Frontiers Media, 2022-02-04) Xia, Jing; Chen, Shuhan; Li, Hua; Gan, Minghong; Wu, Jiashuo; Prohaska, Clare Colette; Bai, Yang; Gao, Lu; Gu, Li; Zhang, Dongfang; Medicine, School of Medicine
    Existing evidence demonstrates that coronavirus disease 2019 (COVID-19) leads to psychiatric illness, despite its main clinical manifestations affecting the respiratory system. People with mental disorders are more susceptible to COVID-19 than individuals without coexisting mental health disorders, with significantly higher rates of severe illness and mortality in this population. The incidence of new psychiatric diagnoses after infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is also remarkably high. SARS-CoV-2 has been reported to use angiotensin-converting enzyme-2 (ACE2) as a receptor for infecting susceptible cells and is expressed in various tissues, including brain tissue. Thus, there is an urgent need to investigate the mechanism linking psychiatric disorders to COVID-19. Using a data set of peripheral blood cells from patients with COVID-19, we compared this to data sets of whole blood collected from patients with psychiatric disorders and used bioinformatics and systems biology approaches to identify genetic links. We found a large number of overlapping immune-related genes between patients infected with SARS-CoV-2 and differentially expressed genes of bipolar disorder (BD), schizophrenia (SZ), and late-onset major depressive disorder (LOD). Many pathways closely related to inflammatory responses, such as MAPK, PPAR, and TGF-β signaling pathways, were observed by enrichment analysis of common differentially expressed genes (DEGs). We also performed a comprehensive analysis of protein–protein interaction network and gene regulation networks. Chemical–protein interaction networks and drug prediction were used to screen potential pharmacologic therapies. We hope that by elucidating the relationship between the pathogenetic processes and genetic mechanisms of infection with SARS-CoV-2 with psychiatric disorders, it will lead to innovative strategies for future research and treatment of psychiatric disorders linked to COVID-19.