Cargando…
Electroosmotic Perfusion, External Microdialysis: Simulation and Experiment
[Image: see text] Information about the rates of hydrolysis of neuropeptides by extracellular peptidases can lead to a quantitative understanding of how the steady-state and transient concentrations of neuropeptides are controlled. We have created a small microfluidic device that electroosmotically...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360060/ https://www.ncbi.nlm.nih.gov/pubmed/37379416 http://dx.doi.org/10.1021/acschemneuro.3c00057 |
_version_ | 1785076018505056256 |
---|---|
author | Rerick, Michael T. Chen, Jun Weber, Stephen G. |
author_facet | Rerick, Michael T. Chen, Jun Weber, Stephen G. |
author_sort | Rerick, Michael T. |
collection | PubMed |
description | [Image: see text] Information about the rates of hydrolysis of neuropeptides by extracellular peptidases can lead to a quantitative understanding of how the steady-state and transient concentrations of neuropeptides are controlled. We have created a small microfluidic device that electroosmotically infuses peptides into, through, and out of the tissue to a microdialysis probe outside the head. The device is created by two-photon polymerization (Nanoscribe). Inferring quantitative estimates of a rate process from the change in concentration of a substrate that has passed through tissue is challenging for two reasons. One is that diffusion is significant, so there is a distribution of peptide substrate residence times in the tissue. This affects the product yield. The other is that there are multiple paths taken by the substrate as it passes through tissue, so there is a distribution of residence times and thus reaction times. Simulation of the process is essential. The simulations presented here imply that a range of first order rate constants of more than 3 orders of magnitude is measurable and that 5–10 min is required to reach a steady state value of product concentration following initiation of substrate infusion. Experiments using a peptidase-resistant d-amino acid pentapeptide, yaGfl, agree with simulations. |
format | Online Article Text |
id | pubmed-10360060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103600602023-07-22 Electroosmotic Perfusion, External Microdialysis: Simulation and Experiment Rerick, Michael T. Chen, Jun Weber, Stephen G. ACS Chem Neurosci [Image: see text] Information about the rates of hydrolysis of neuropeptides by extracellular peptidases can lead to a quantitative understanding of how the steady-state and transient concentrations of neuropeptides are controlled. We have created a small microfluidic device that electroosmotically infuses peptides into, through, and out of the tissue to a microdialysis probe outside the head. The device is created by two-photon polymerization (Nanoscribe). Inferring quantitative estimates of a rate process from the change in concentration of a substrate that has passed through tissue is challenging for two reasons. One is that diffusion is significant, so there is a distribution of peptide substrate residence times in the tissue. This affects the product yield. The other is that there are multiple paths taken by the substrate as it passes through tissue, so there is a distribution of residence times and thus reaction times. Simulation of the process is essential. The simulations presented here imply that a range of first order rate constants of more than 3 orders of magnitude is measurable and that 5–10 min is required to reach a steady state value of product concentration following initiation of substrate infusion. Experiments using a peptidase-resistant d-amino acid pentapeptide, yaGfl, agree with simulations. American Chemical Society 2023-06-28 /pmc/articles/PMC10360060/ /pubmed/37379416 http://dx.doi.org/10.1021/acschemneuro.3c00057 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Rerick, Michael T. Chen, Jun Weber, Stephen G. Electroosmotic Perfusion, External Microdialysis: Simulation and Experiment |
title | Electroosmotic
Perfusion, External Microdialysis:
Simulation and Experiment |
title_full | Electroosmotic
Perfusion, External Microdialysis:
Simulation and Experiment |
title_fullStr | Electroosmotic
Perfusion, External Microdialysis:
Simulation and Experiment |
title_full_unstemmed | Electroosmotic
Perfusion, External Microdialysis:
Simulation and Experiment |
title_short | Electroosmotic
Perfusion, External Microdialysis:
Simulation and Experiment |
title_sort | electroosmotic
perfusion, external microdialysis:
simulation and experiment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360060/ https://www.ncbi.nlm.nih.gov/pubmed/37379416 http://dx.doi.org/10.1021/acschemneuro.3c00057 |
work_keys_str_mv | AT rerickmichaelt electroosmoticperfusionexternalmicrodialysissimulationandexperiment AT chenjun electroosmoticperfusionexternalmicrodialysissimulationandexperiment AT weberstepheng electroosmoticperfusionexternalmicrodialysissimulationandexperiment |