Serotonin after β-Adrenoreceptors' Exposition: New Approaches for Personalized Data in Breast Cancer Cells.
Ana Salomé CorreiaDiana DuarteIsabel SilvaHenrique ReguengoJosé Carlos OliveiraNuno ValePublished in: Journal of personalized medicine (2021)
Serotonin is an important monoamine in the human body, playing crucial roles, such as a neurotransmitter in the central nervous system. Previously, our group reported that β-adrenergic drugs (ICI 118,551, isoprenaline, and propranolol) influence the proliferation of breast cancer cells (MCF-7 cells) and their inherent production of adrenaline. Thus, we aimed to investigate the production of serotonin in MCF-7 cells, clarifying if there is a relationship between this production and the viability of the cells. To address this question, briefly, we treated the MCF-7 cells with ICI 118,551, isoprenaline, and propranolol, and evaluated cellular viability and serotonin production by using MTT, Sulforhodamine B (SRB) and Neutral Red (NR) assays, and HPLC-ECD analysis, respectively. Our results demonstrate that isoprenaline promotes the most pronounced endogenous synthesis of serotonin, about 3.5-fold greater than control cells. Propranolol treatment also increased the synthesis of serotonin (when compared to control). On the other hand, treatment with the drug ICI 118,551 promoted a lower endogenous synthesis of serotonin, about 1.1-fold less than what was observed in the control. Together, these results reveal that MCF-7 cells can produce serotonin, and the drugs propranolol, isoprenaline and ICI 118,551 influence this endogenous production. For the first time, after modulation of the β-adrenergic system, a pronounced cellular growth can be related to higher consumption of serotonin by the cells, resulting in decreased levels of serotonin in cell media, indicative of the importance of serotonin in the growth of MCF-7 cells.
Keyphrases
- induced apoptosis
- breast cancer cells
- cell cycle arrest
- endoplasmic reticulum stress
- signaling pathway
- emergency department
- oxidative stress
- gene expression
- endothelial cells
- mesenchymal stem cells
- cell death
- high resolution
- pi k akt
- machine learning
- high throughput
- cell proliferation
- drug induced
- mass spectrometry
- artificial intelligence