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Computational Simulation of Colorectal Cancer Biomarker Particle Mobility in a 3D Model
Even though some methods for the detection of colorectal cancer have been used clinically, most of the techniques used do not consider the in situ detection of colorectal cancer (CRC) biomarkers, which would favor in vivo real-time monitoring of the carcinogenesis process and consequent studies of t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865637/ https://www.ncbi.nlm.nih.gov/pubmed/36677649 http://dx.doi.org/10.3390/molecules28020589 |
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author | Vallejo Morales, Esteban Suárez Guerrero, Gustavo Hoyos Palacio, Lina M. |
author_facet | Vallejo Morales, Esteban Suárez Guerrero, Gustavo Hoyos Palacio, Lina M. |
author_sort | Vallejo Morales, Esteban |
collection | PubMed |
description | Even though some methods for the detection of colorectal cancer have been used clinically, most of the techniques used do not consider the in situ detection of colorectal cancer (CRC) biomarkers, which would favor in vivo real-time monitoring of the carcinogenesis process and consequent studies of the disease. In order to give a scientific and computational framework ideal for the evaluation of diagnosis techniques based on the early detection of biomarker molecules modeled as spherical particles from the computational point of view, a computational representation of the rectum, stool and biomarker particles was developed. As consequence of the transport of stool, there was a displacement of CRC biomarker particles that entered the system as a result of the cellular apoptosis processes in polyps with a length lower than 1 cm, reaching a maximum velocity of [Formula: see text] m/s. The biomarkers studied showed trajectories distant to regions of the polyp of origin in 1 min of simulation. The research results show that the biomarker particles for CRC respond to the variations in the movements of the stool with trajectories and speeds that depend on the location of the injury, which will allow locating the regions with the highest possibilities of catching particles through in situ measurement instruments in the future. |
format | Online Article Text |
id | pubmed-9865637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98656372023-01-22 Computational Simulation of Colorectal Cancer Biomarker Particle Mobility in a 3D Model Vallejo Morales, Esteban Suárez Guerrero, Gustavo Hoyos Palacio, Lina M. Molecules Article Even though some methods for the detection of colorectal cancer have been used clinically, most of the techniques used do not consider the in situ detection of colorectal cancer (CRC) biomarkers, which would favor in vivo real-time monitoring of the carcinogenesis process and consequent studies of the disease. In order to give a scientific and computational framework ideal for the evaluation of diagnosis techniques based on the early detection of biomarker molecules modeled as spherical particles from the computational point of view, a computational representation of the rectum, stool and biomarker particles was developed. As consequence of the transport of stool, there was a displacement of CRC biomarker particles that entered the system as a result of the cellular apoptosis processes in polyps with a length lower than 1 cm, reaching a maximum velocity of [Formula: see text] m/s. The biomarkers studied showed trajectories distant to regions of the polyp of origin in 1 min of simulation. The research results show that the biomarker particles for CRC respond to the variations in the movements of the stool with trajectories and speeds that depend on the location of the injury, which will allow locating the regions with the highest possibilities of catching particles through in situ measurement instruments in the future. MDPI 2023-01-06 /pmc/articles/PMC9865637/ /pubmed/36677649 http://dx.doi.org/10.3390/molecules28020589 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Vallejo Morales, Esteban Suárez Guerrero, Gustavo Hoyos Palacio, Lina M. Computational Simulation of Colorectal Cancer Biomarker Particle Mobility in a 3D Model |
title | Computational Simulation of Colorectal Cancer Biomarker Particle Mobility in a 3D Model |
title_full | Computational Simulation of Colorectal Cancer Biomarker Particle Mobility in a 3D Model |
title_fullStr | Computational Simulation of Colorectal Cancer Biomarker Particle Mobility in a 3D Model |
title_full_unstemmed | Computational Simulation of Colorectal Cancer Biomarker Particle Mobility in a 3D Model |
title_short | Computational Simulation of Colorectal Cancer Biomarker Particle Mobility in a 3D Model |
title_sort | computational simulation of colorectal cancer biomarker particle mobility in a 3d model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865637/ https://www.ncbi.nlm.nih.gov/pubmed/36677649 http://dx.doi.org/10.3390/molecules28020589 |
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