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Aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level
The aorta, with ascending, arch, thoracic and abdominal segments, responds to the heartbeat, senses metabolites and distributes blood to all parts of the body. However, the heterogeneity across aortic segments and how metabolic pathologies change it are not known. Here, a total of 216 612 individual...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289085/ https://www.ncbi.nlm.nih.gov/pubmed/34692110 http://dx.doi.org/10.1093/nsr/nwaa038 |
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author | He, Dongxu Mao, Aiqin Zheng, Chang-Bo Kan, Hao Zhang, Ka Zhang, Zhiming Feng, Lei Ma, Xin |
author_facet | He, Dongxu Mao, Aiqin Zheng, Chang-Bo Kan, Hao Zhang, Ka Zhang, Zhiming Feng, Lei Ma, Xin |
author_sort | He, Dongxu |
collection | PubMed |
description | The aorta, with ascending, arch, thoracic and abdominal segments, responds to the heartbeat, senses metabolites and distributes blood to all parts of the body. However, the heterogeneity across aortic segments and how metabolic pathologies change it are not known. Here, a total of 216 612 individual cells from the ascending aorta, aortic arch, and thoracic and abdominal segments of mouse aortas under normal conditions or with high blood glucose levels, high dietary salt, or high fat intake were profiled using single-cell RNA sequencing. We generated a compendium of 10 distinct cell types, mainly endothelial (EC), smooth muscle (SMC), stromal and immune cells. The distributions of the different cells and their intercommunication were influenced by the hemodynamic microenvironment across anatomical segments, and the spatial heterogeneity of ECs and SMCs may contribute to differential vascular dilation and constriction that were measured by wire myography. Importantly, the composition of aortic cells, their gene expression profiles and their regulatory intercellular networks broadly changed in response to high fat/salt/glucose conditions. Notably, the abdominal aorta showed the most dramatic changes in cellular composition, particularly involving ECs, fibroblasts and myeloid cells with cardiovascular risk factor-related regulons and gene expression networks. Our study elucidates the nature and range of aortic cell diversity, with implications for the treatment of metabolic pathologies. |
format | Online Article Text |
id | pubmed-8289085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82890852021-10-21 Aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level He, Dongxu Mao, Aiqin Zheng, Chang-Bo Kan, Hao Zhang, Ka Zhang, Zhiming Feng, Lei Ma, Xin Natl Sci Rev Research Article The aorta, with ascending, arch, thoracic and abdominal segments, responds to the heartbeat, senses metabolites and distributes blood to all parts of the body. However, the heterogeneity across aortic segments and how metabolic pathologies change it are not known. Here, a total of 216 612 individual cells from the ascending aorta, aortic arch, and thoracic and abdominal segments of mouse aortas under normal conditions or with high blood glucose levels, high dietary salt, or high fat intake were profiled using single-cell RNA sequencing. We generated a compendium of 10 distinct cell types, mainly endothelial (EC), smooth muscle (SMC), stromal and immune cells. The distributions of the different cells and their intercommunication were influenced by the hemodynamic microenvironment across anatomical segments, and the spatial heterogeneity of ECs and SMCs may contribute to differential vascular dilation and constriction that were measured by wire myography. Importantly, the composition of aortic cells, their gene expression profiles and their regulatory intercellular networks broadly changed in response to high fat/salt/glucose conditions. Notably, the abdominal aorta showed the most dramatic changes in cellular composition, particularly involving ECs, fibroblasts and myeloid cells with cardiovascular risk factor-related regulons and gene expression networks. Our study elucidates the nature and range of aortic cell diversity, with implications for the treatment of metabolic pathologies. Oxford University Press 2020-05 2020-03-09 /pmc/articles/PMC8289085/ /pubmed/34692110 http://dx.doi.org/10.1093/nsr/nwaa038 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article He, Dongxu Mao, Aiqin Zheng, Chang-Bo Kan, Hao Zhang, Ka Zhang, Zhiming Feng, Lei Ma, Xin Aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level |
title | Aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level |
title_full | Aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level |
title_fullStr | Aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level |
title_full_unstemmed | Aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level |
title_short | Aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level |
title_sort | aortic heterogeneity across segments and under high fat/salt/glucose conditions at the single-cell level |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289085/ https://www.ncbi.nlm.nih.gov/pubmed/34692110 http://dx.doi.org/10.1093/nsr/nwaa038 |
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