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1.
Commun Biol ; 7(1): 710, 2024 Jun 08.
Article in English | MEDLINE | ID: mdl-38851804

ABSTRACT

Selective serotonin reuptake inhibitors (SSRIs) are widely used for depression based on the monoamine deficiency hypothesis. However, the clinical use of these agents is controversial, in part because of their variable clinical efficacy and in part because of their delayed onset of action. Because of the complexities involved in replicating human disease and clinical dosing in animal models, the scientific community has not reached a consensus on the reasons for these phenomena. In this work, we create a theoretical hippocampal model incorporating escitalopram's pharmacokinetics, pharmacodynamics (competitive and non-competitive inhibition, and serotonin transporter (SERT) internalization), inflammation, and receptor dynamics. With this model, we simulate chronic oral escitalopram in mice showing that days to weeks are needed for serotonin levels to reach steady-state. We show escitalopram's chemical efficacy is diminished under inflammation. Our model thus offers mechanisms for how chronic escitalopram affects brain serotonin, emphasizing the importance of optimized dose and time for future antidepressant discoveries.


Subject(s)
Escitalopram , Inflammation , Selective Serotonin Reuptake Inhibitors , Serotonin Plasma Membrane Transport Proteins , Serotonin Plasma Membrane Transport Proteins/metabolism , Animals , Selective Serotonin Reuptake Inhibitors/pharmacology , Mice , Inflammation/drug therapy , Inflammation/metabolism , Escitalopram/pharmacology , Hippocampus/metabolism , Hippocampus/drug effects , Serotonin/metabolism , Humans , Citalopram/pharmacology
2.
J Biol Dyn ; 17(1): 2269986, 2023 12.
Article in English | MEDLINE | ID: mdl-37876112

ABSTRACT

In volume transmission (or neuromodulation) neurons do not make one-to-one connections to other neurons, but instead simply release neurotransmitter into the extracellular space from numerous varicosities. Many well-known neurotransmitters including serotonin (5HT), dopamine (DA), histamine (HA), Gamma-Aminobutyric Acid (GABA) and acetylcholine (ACh) participate in volume transmission. Typically, the cell bodies are in one volume and the axons project to a distant volume in the brain releasing the neurotransmitter there. We introduce volume transmission and describe mathematically two natural homeostatic mechanisms. In some brain regions several neurotransmitters in the extracellular space affect each other's release. We investigate the dynamics created by this comodulation in two different cases: serotonin and histamine; and the comodulation of 4 neurotransmitters in the striatum and we compare to experimental data. This kind of comodulation poses new dynamical questions as well as the question of how these biochemical networks influence the electrophysiological networks in the brain.


Subject(s)
Histamine , Serotonin , gamma-Aminobutyric Acid , Models, Biological , Neurotransmitter Agents
3.
Biochem Mol Biol Educ ; 51(6): 685-690, 2023.
Article in English | MEDLINE | ID: mdl-37681713

ABSTRACT

Many STEM disciplines are underrepresented to High School students. This is problematic as many students' decisions for college are shaped by their experiences and achievements in high school. Short content-oriented modules have been shown to encourage science identity and otherwise benefit the students' learning. Following the ASBMB's outreach protocol, we developed a short content-oriented module aimed at a high school biology classroom. Students interacted with 3D models of DNA and transcription factors while exploring structure-function relationships and introductory biochemistry topics. The high school teacher was impressed with the students' response to the module, specifically the ease with which students learned, their enthusiasm, and their recall of the experience. We provide all materials necessary to use this module, including student worksheet and printable model coordinates. We encourage both high school instructors and professional biochemists to consider similar module using physical models.


Subject(s)
Learning , Students , Humans , Schools , Universities , Biology , Curriculum
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