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Full-Text Articles in Medical Genetics
Cocaine Use Disorder Effects On Blood Oxytocin Levels And Oxtr Dna Methylation, Manassés Soares Souza, Breno Sanvicente-Vieira, Aline Zaparte, Talita Baptista, Maria Aparecida Nagai, Flávia Rotea Mangone, Ana Carolina Pavanelli, Thiago Wendt Viola, Rodrigo Grassi-Oliveira
Cocaine Use Disorder Effects On Blood Oxytocin Levels And Oxtr Dna Methylation, Manassés Soares Souza, Breno Sanvicente-Vieira, Aline Zaparte, Talita Baptista, Maria Aparecida Nagai, Flávia Rotea Mangone, Ana Carolina Pavanelli, Thiago Wendt Viola, Rodrigo Grassi-Oliveira
School of Medicine Faculty Publications
Substance use disorders have been associated with alterations in the oxytocinergic system, but few studies have investigated both the peptide and epigenetic mechanisms potentially implicated in the regulation of oxytocin receptor. In this study, we compared plasma oxytocin and blood DNA methylation in the OXTR gene between people with and without cocaine use disorder (CUD). We measured the oxytocin levels of 51 people with CUD during acute abstinence and of 30 healthy controls using an enzyme immunoassay. The levels of DNA methylation in four CpG sites at exon III of the OXTR gene were evaluated in a subsample using pyrosequencing. …
Landscape Of Molecular Crosstalk Perturbation Between Lung Cancer And Covid-19, Aditi Kuchi, Jiande Wu, Jyotsna Fuloria, Chindo Hicks
Landscape Of Molecular Crosstalk Perturbation Between Lung Cancer And Covid-19, Aditi Kuchi, Jiande Wu, Jyotsna Fuloria, Chindo Hicks
School of Medicine Faculty Publications
Background: Lung cancer patients have the worst outcomes when affected by coronavirus disease 2019 (COVID-19). The molecular mechanisms underlying the association between lung cancer and COVID-19 remain unknown. The objective of this investigation was to determine whether there is crosstalk in molecular perturbation between COVID-19 and lung cancer, and to identify a molecular signature, molecular networks and signaling pathways shared by the two diseases. Methods: We analyzed publicly available gene expression data from 52 severely affected COVID-19 human lung samples, 594 lung tumor samples and 54 normal disease-free lung samples. We performed network and pathways analysis to identify molecular networks …