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Arjmand, S.

Publications and source records attributed to Arjmand, S..

2 recordsLinked to original sources

Antidepressants interact with sex steroid receptors and their intracellular signaling components

There is growing interest in understanding how hormonal signaling pathways contribute to the pathophysiology of mood disorders, based on the premise that fluctuations in sex hormones influence mood, a relationship particularly evident in conditions such as premenstrual dysphoric disorder, prenatal depression, postpartum depression, and perimenopausal depression. Estrogen receptor alpha (ER) is predominantly localized in the nucleus, but can also be associated with the cell membrane, thus mediating a broad range of genomic and non-genomic effects through distinct intracellular pathways. By employing a combination of computational simulations and in vitro biochemical and cell-based assays, we systematically evaluated the potential binding and functional interactions of antidepressant compounds with ER. Our results provide compelling evidence that antidepressants may not only affect classical monoaminergic targets but also modulate hormone receptor activity, particularly that of ER. These findings are consistent with the hypothesis that ER plays an important role in mood regulation and highlight it as a potential therapeutic target. Moreover, this work raises the possibility that the clinical efficacy of certain antidepressants may, at least in part, derive from their capacity to influence estrogen receptor-mediated signaling. Significance statementClinical observations suggest a link between female sex hormones and mood, highlighted by the higher prevalence of depression in women and increased vulnerability to depression during hormonal fluctuations. Here, we report that structurally diverse conventional and rapid-acting antidepressants directly interact with estrogen receptor alpha (ER). This interaction is associated with rapid intracellular signaling in cellular models. These findings indicate that, alongside their conventional targets, antidepressants may also engage sex steroid receptor components and signaling. This work broadens our basic understanding of antidepressant pharmacology at the cellular level, offering an additional perspective that may inform future research into the biological mechanisms of mood disorders and suggest a framework for developing targeted therapies for hormone-associated depressive disorders.

pharmacology and toxicology↗

Identification of potential coagulation pathway abnormalities in SARS-Cov-2 infection; insights from bioinformatics analysis

Abnormal coagulation parameters have been explored in a significant number of severe COVID-19 patients, linked to poor prognosis and increased risk of organ failure. Here, to uncover the potential abnormalities in coagulation pathways, we analyzed the RNA-seq data (GEO147507) obtained from the treatment of three pulmonary epithelial cell lines with SARS-CoV-2. The significant differentially expressed genes (DEGs) were subjected to Enrichr database for KEGG pathway enrichment analysis and gene ontology (GO) functional annotation. The STRING database was used to generate PPI networks for identified DEGs. We found three upregulated procoagulant genes (SERPINE1, SERPINA5, and SERPINB2) belong to the serine protease inhibitor (serpin) superfamily that inhibit tissue plasminogen activator (t-PA) and urokinase plasminogen activator (u-PA) in the fibrinolysis process. In conclusion, we suggest the fibrinolysis process, especially the blockage of t-PA and u-PA inhibitors, a potential target for more study in treating coagulopathy in severe COVID-19 cases.

bioinformatics↗