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Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice

In age-related neurodegenerative diseases, pathology often develops slowly across the lifespan. As one example, in diseases such as Alzheimer’s, vascular decline is believed to onset decades ahead of symptomology. However, challenges inherent in current microscopic methods make longitudinal tracking...

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Autores principales: Walek, Konrad W., Stefan, Sabina, Lee, Jang-Hoon, Puttigampala, Pooja, Kim, Anna H., Park, Seong Wook, Marchand, Paul J., Lesage, Frederic, Liu, Tao, Huang, Yu-Wen Alvin, Boas, David A., Moore, Christopher, Lee, Jonghwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205707/
https://www.ncbi.nlm.nih.gov/pubmed/37221202
http://dx.doi.org/10.1038/s41467-023-38609-z
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author Walek, Konrad W.
Stefan, Sabina
Lee, Jang-Hoon
Puttigampala, Pooja
Kim, Anna H.
Park, Seong Wook
Marchand, Paul J.
Lesage, Frederic
Liu, Tao
Huang, Yu-Wen Alvin
Boas, David A.
Moore, Christopher
Lee, Jonghwan
author_facet Walek, Konrad W.
Stefan, Sabina
Lee, Jang-Hoon
Puttigampala, Pooja
Kim, Anna H.
Park, Seong Wook
Marchand, Paul J.
Lesage, Frederic
Liu, Tao
Huang, Yu-Wen Alvin
Boas, David A.
Moore, Christopher
Lee, Jonghwan
author_sort Walek, Konrad W.
collection PubMed
description In age-related neurodegenerative diseases, pathology often develops slowly across the lifespan. As one example, in diseases such as Alzheimer’s, vascular decline is believed to onset decades ahead of symptomology. However, challenges inherent in current microscopic methods make longitudinal tracking of such vascular decline difficult. Here, we describe a suite of methods for measuring brain vascular dynamics and anatomy in mice for over seven months in the same field of view. This approach is enabled by advances in optical coherence tomography (OCT) and image processing algorithms including deep learning. These integrated methods enabled us to simultaneously monitor distinct vascular properties spanning morphology, topology, and function of the microvasculature across all scales: large pial vessels, penetrating cortical vessels, and capillaries. We have demonstrated this technical capability in wild-type and 3xTg male mice. The capability will allow comprehensive and longitudinal study of a broad range of progressive vascular diseases, and normal aging, in key model systems.
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spelling pubmed-102057072023-05-25 Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice Walek, Konrad W. Stefan, Sabina Lee, Jang-Hoon Puttigampala, Pooja Kim, Anna H. Park, Seong Wook Marchand, Paul J. Lesage, Frederic Liu, Tao Huang, Yu-Wen Alvin Boas, David A. Moore, Christopher Lee, Jonghwan Nat Commun Article In age-related neurodegenerative diseases, pathology often develops slowly across the lifespan. As one example, in diseases such as Alzheimer’s, vascular decline is believed to onset decades ahead of symptomology. However, challenges inherent in current microscopic methods make longitudinal tracking of such vascular decline difficult. Here, we describe a suite of methods for measuring brain vascular dynamics and anatomy in mice for over seven months in the same field of view. This approach is enabled by advances in optical coherence tomography (OCT) and image processing algorithms including deep learning. These integrated methods enabled us to simultaneously monitor distinct vascular properties spanning morphology, topology, and function of the microvasculature across all scales: large pial vessels, penetrating cortical vessels, and capillaries. We have demonstrated this technical capability in wild-type and 3xTg male mice. The capability will allow comprehensive and longitudinal study of a broad range of progressive vascular diseases, and normal aging, in key model systems. Nature Publishing Group UK 2023-05-24 /pmc/articles/PMC10205707/ /pubmed/37221202 http://dx.doi.org/10.1038/s41467-023-38609-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Walek, Konrad W.
Stefan, Sabina
Lee, Jang-Hoon
Puttigampala, Pooja
Kim, Anna H.
Park, Seong Wook
Marchand, Paul J.
Lesage, Frederic
Liu, Tao
Huang, Yu-Wen Alvin
Boas, David A.
Moore, Christopher
Lee, Jonghwan
Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice
title Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice
title_full Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice
title_fullStr Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice
title_full_unstemmed Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice
title_short Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice
title_sort near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205707/
https://www.ncbi.nlm.nih.gov/pubmed/37221202
http://dx.doi.org/10.1038/s41467-023-38609-z
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