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Temporal window for detection of inflammatory disease using dynamic cell tracking with time-lapse MRI
Time-lapse MRI was implemented for dynamic non-invasive cell tracking of individual slowly moving intravascular immune cells. Repetitive MRI acquisition enabled dynamic observation of iron oxide nanoparticle (ION) labelled cells. Simulations of MRI contrast indicated that only cells moving slower th...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015069/ https://www.ncbi.nlm.nih.gov/pubmed/29934611 http://dx.doi.org/10.1038/s41598-018-27879-z |
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author | Masthoff, Max Gran, Sandra Zhang, Xueli Wachsmuth, Lydia Bietenbeck, Michael Helfen, Anne Heindel, Walter Sorokin, Lydia Roth, Johannes Eisenblätter, Michel Wildgruber, Moritz Faber, Cornelius |
author_facet | Masthoff, Max Gran, Sandra Zhang, Xueli Wachsmuth, Lydia Bietenbeck, Michael Helfen, Anne Heindel, Walter Sorokin, Lydia Roth, Johannes Eisenblätter, Michel Wildgruber, Moritz Faber, Cornelius |
author_sort | Masthoff, Max |
collection | PubMed |
description | Time-lapse MRI was implemented for dynamic non-invasive cell tracking of individual slowly moving intravascular immune cells. Repetitive MRI acquisition enabled dynamic observation of iron oxide nanoparticle (ION) labelled cells. Simulations of MRI contrast indicated that only cells moving slower than 1 µm/s were detectable. Time-lapse MRI of the brain was performed after either IONs or ION-labelled monocytes were injected intravenously into naïve and experimental autoimmune encephalomyelitis (EAE) bearing mice at a presymptomatic or symptomatic stage. EAE mice showed a reduced number of slow moving, i.e. patrolling cells before and after onset of symptoms as compared to naïve controls. This observation is consistent with the notion of altered cell dynamics, i.e. higher velocities of immune cells rolling along the endothelium in the inflamed condition. Thus, time-lapse MRI enables for assessing immune cell dynamics non-invasively in deep tissue and may serve as a tool for detection or monitoring of an inflammatory response. |
format | Online Article Text |
id | pubmed-6015069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60150692018-07-06 Temporal window for detection of inflammatory disease using dynamic cell tracking with time-lapse MRI Masthoff, Max Gran, Sandra Zhang, Xueli Wachsmuth, Lydia Bietenbeck, Michael Helfen, Anne Heindel, Walter Sorokin, Lydia Roth, Johannes Eisenblätter, Michel Wildgruber, Moritz Faber, Cornelius Sci Rep Article Time-lapse MRI was implemented for dynamic non-invasive cell tracking of individual slowly moving intravascular immune cells. Repetitive MRI acquisition enabled dynamic observation of iron oxide nanoparticle (ION) labelled cells. Simulations of MRI contrast indicated that only cells moving slower than 1 µm/s were detectable. Time-lapse MRI of the brain was performed after either IONs or ION-labelled monocytes were injected intravenously into naïve and experimental autoimmune encephalomyelitis (EAE) bearing mice at a presymptomatic or symptomatic stage. EAE mice showed a reduced number of slow moving, i.e. patrolling cells before and after onset of symptoms as compared to naïve controls. This observation is consistent with the notion of altered cell dynamics, i.e. higher velocities of immune cells rolling along the endothelium in the inflamed condition. Thus, time-lapse MRI enables for assessing immune cell dynamics non-invasively in deep tissue and may serve as a tool for detection or monitoring of an inflammatory response. Nature Publishing Group UK 2018-06-22 /pmc/articles/PMC6015069/ /pubmed/29934611 http://dx.doi.org/10.1038/s41598-018-27879-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Masthoff, Max Gran, Sandra Zhang, Xueli Wachsmuth, Lydia Bietenbeck, Michael Helfen, Anne Heindel, Walter Sorokin, Lydia Roth, Johannes Eisenblätter, Michel Wildgruber, Moritz Faber, Cornelius Temporal window for detection of inflammatory disease using dynamic cell tracking with time-lapse MRI |
title | Temporal window for detection of inflammatory disease using dynamic cell tracking with time-lapse MRI |
title_full | Temporal window for detection of inflammatory disease using dynamic cell tracking with time-lapse MRI |
title_fullStr | Temporal window for detection of inflammatory disease using dynamic cell tracking with time-lapse MRI |
title_full_unstemmed | Temporal window for detection of inflammatory disease using dynamic cell tracking with time-lapse MRI |
title_short | Temporal window for detection of inflammatory disease using dynamic cell tracking with time-lapse MRI |
title_sort | temporal window for detection of inflammatory disease using dynamic cell tracking with time-lapse mri |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015069/ https://www.ncbi.nlm.nih.gov/pubmed/29934611 http://dx.doi.org/10.1038/s41598-018-27879-z |
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