Abstract

Gut–brain axis (GBA) communication relies on serotonin (5-HT) signaling between the gut epithelium and the peripheral nervous system, where 5-HT release patterns from the basolateral (i.e., bottom) side of the epithelium activate nerve afferents. There have been few quantitative studies of this gut-neuron signaling due to a lack of real-time measurement tools that can access the basolateral gut epithelium. In vitro platforms allow quantitative studies of cultured gut tissue, but they mainly employ offline and endpoint assays that cannot resolve dynamic molecular-release patterns. Here, we present the modification of a microporous cell culture membrane with carbon nanotube-coated gold (Au-CNT) electrodes capable of continuous, label-free, and direct detection of 5-HT at physiological concentrations. Electrochemical characterization of single-walled carbon nanotube (SWCNT)-coated Au electrodes shows increased electroactive surface area, 5-HT specificity, sensitivity, and saturation time, which are correlated with the CNT film drop-cast volume. Two microliters of CNT films, with a 10-min saturation time, 0.6 μA/μM 5-HT sensitivity, and reliable detection within a linear range of 500 nM–10 μM 5-HT, can be targeted for high-concentration, high-time-resolution 5-HT monitoring. CNT films (12.5 μL) with a 2-h saturation time, 4.5 μA/μM 5-HT sensitivity, and quantitative detection in the linear range of 100 nM–1 μM can target low concentrations with low time resolution. These electrodes achieved continuous detection of dynamic diffusion across the porous membrane, mimicking basolateral 5-HT release from cells, and detection of cell-released 5-HT from separately cultured RIN14B cell supernatant. Electrode-integrated cell culture systems such as this can improve in vitro molecular detection mechanisms and aid in quantitative GBA signaling studies.

Sensors: Serotonin detection in cell culture

Researchers in the United States have developed a tool to rapidly and reliably detect serotonin at physiological concentrations. Serotonin is an important element in communication along the gut-brain axis, but measuring its concentration in the gut epithelium or derived cell cultures has proven challenging. A team at the University of Maryland, led by Reza Ghodssi, designed a system using carbon nanotubes deposited on gold electrodes to detect serotonin. The saturation time and detection range depended on the thickness of the nanotube film. By tuning the thickness, it was possible to create devices which could detect low concentrations with low time resolution or higher concentrations with a quicker saturation time. The new in vitro detection system can be used to investigate how serotonin is released by tissues along the gut-brain axis in healthy and diseased conditions.

Details

Title
Electrochemical measurement of serotonin by Au-CNT electrodes fabricated on microporous cell culture membranes
Author
Chapin, Ashley A 1 ; Rajasekaran, Pradeep R 2 ; Quan, David N 3 ; Hu Liangbing 4 ; Herberholz Jens 5 ; Bentley, William E 6 ; Ghodssi Reza 7 

 Fischell Department of Bioengineering, College Park, USA; Institute for Systems Research, College Park, USA 
 Institute for Systems Research, College Park, USA 
 Fischell Department of Bioengineering, College Park, USA 
 Department of Materials Science and Engineering, College Park, USA 
 Department of Psychology and Neuroscience and Cognitive Science Program, College Park, USA 
 Fischell Department of Bioengineering, College Park, USA; Institute for Bioscience and Biotechnology Research, Rockville, USA; Robert E. Fischell Institute for Biomedical Devices, Rockville, USA 
 Fischell Department of Bioengineering, College Park, USA; Institute for Systems Research, College Park, USA; Robert E. Fischell Institute for Biomedical Devices, Rockville, USA; Department of Electrical and Computer Engineering, College Park, USA 
Publication year
2020
Publication date
2020
Publisher
Springer Nature B.V.
ISSN
20961030
e-ISSN
20557434
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2440408983
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.