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Smooth muscle cell fate decisions decipher a high-resolution heterogeneity within atherosclerosis molecular subtypes

BACKGROUND: Mounting evidence has revealed the dynamic variations in the cellular status and phenotype of the smooth muscle cell (SMC) are vital for shaping the atherosclerotic plaque microenvironment and ultimately mapping onto heterogeneous clinical outcomes in coronary artery disease. Currently,...

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Autores principales: Zhang, Ge, Liu, Zaoqu, Deng, Jinhai, Liu, Long, Li, Yu, Weng, Siyuan, Guo, Chunguang, Zhou, Zhaokai, Zhang, Li, Wang, Xiaofang, Liu, Gangqiong, Guo, Jiacheng, Bai, Jing, Wang, Yunzhe, Du, Youyou, Li, Tao-Sheng, Tang, Junnan, Zhang, Jinying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724432/
https://www.ncbi.nlm.nih.gov/pubmed/36474294
http://dx.doi.org/10.1186/s12967-022-03795-9
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author Zhang, Ge
Liu, Zaoqu
Deng, Jinhai
Liu, Long
Li, Yu
Weng, Siyuan
Guo, Chunguang
Zhou, Zhaokai
Zhang, Li
Wang, Xiaofang
Liu, Gangqiong
Guo, Jiacheng
Bai, Jing
Wang, Yunzhe
Du, Youyou
Li, Tao-Sheng
Tang, Junnan
Zhang, Jinying
author_facet Zhang, Ge
Liu, Zaoqu
Deng, Jinhai
Liu, Long
Li, Yu
Weng, Siyuan
Guo, Chunguang
Zhou, Zhaokai
Zhang, Li
Wang, Xiaofang
Liu, Gangqiong
Guo, Jiacheng
Bai, Jing
Wang, Yunzhe
Du, Youyou
Li, Tao-Sheng
Tang, Junnan
Zhang, Jinying
author_sort Zhang, Ge
collection PubMed
description BACKGROUND: Mounting evidence has revealed the dynamic variations in the cellular status and phenotype of the smooth muscle cell (SMC) are vital for shaping the atherosclerotic plaque microenvironment and ultimately mapping onto heterogeneous clinical outcomes in coronary artery disease. Currently, the underlying clinical significance of SMC evolutions remains unexplored in atherosclerosis. METHODS: The dissociated cells from diseased segments within the right coronary artery of four cardiac transplant recipients and 1070 bulk samples with atherosclerosis from six bulk cohorts were retrieved. Following the SMC fate trajectory reconstruction, the MOVICS algorithm integrating the nearest template prediction was used to develop a stable and robust molecular classification. Subsequently, multi-dimensional potential biological implications, molecular features, and cell landscape heterogeneity among distinct clusters were decoded. RESULTS: We proposed an SMC cell fate decision signature (SCFDS)-based atherosclerosis stratification system and identified three SCFDS subtypes (C1–C3) with distinguishing features: (i) C1 (DNA-damage repair type), elevated base excision repair (BER), DNA replication, as well as oxidative phosphorylation status. (ii) C2 (immune-activated type), stronger immune activation, hyper-inflammatory state, the complex as well as varied lesion microenvironment, advanced stage, the most severe degree of coronary stenosis severity. (iii) C3 (stromal-rich type), abundant fibrous content, stronger ECM metabolism, immune-suppressed microenvironment. CONCLUSIONS: This study uncovered atherosclerosis complex cellular heterogeneity and a differentiated hierarchy of cell populations underlying SMC. The novel high-resolution stratification system could improve clinical outcomes and facilitate individualized management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03795-9.
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spelling pubmed-97244322022-12-07 Smooth muscle cell fate decisions decipher a high-resolution heterogeneity within atherosclerosis molecular subtypes Zhang, Ge Liu, Zaoqu Deng, Jinhai Liu, Long Li, Yu Weng, Siyuan Guo, Chunguang Zhou, Zhaokai Zhang, Li Wang, Xiaofang Liu, Gangqiong Guo, Jiacheng Bai, Jing Wang, Yunzhe Du, Youyou Li, Tao-Sheng Tang, Junnan Zhang, Jinying J Transl Med Research BACKGROUND: Mounting evidence has revealed the dynamic variations in the cellular status and phenotype of the smooth muscle cell (SMC) are vital for shaping the atherosclerotic plaque microenvironment and ultimately mapping onto heterogeneous clinical outcomes in coronary artery disease. Currently, the underlying clinical significance of SMC evolutions remains unexplored in atherosclerosis. METHODS: The dissociated cells from diseased segments within the right coronary artery of four cardiac transplant recipients and 1070 bulk samples with atherosclerosis from six bulk cohorts were retrieved. Following the SMC fate trajectory reconstruction, the MOVICS algorithm integrating the nearest template prediction was used to develop a stable and robust molecular classification. Subsequently, multi-dimensional potential biological implications, molecular features, and cell landscape heterogeneity among distinct clusters were decoded. RESULTS: We proposed an SMC cell fate decision signature (SCFDS)-based atherosclerosis stratification system and identified three SCFDS subtypes (C1–C3) with distinguishing features: (i) C1 (DNA-damage repair type), elevated base excision repair (BER), DNA replication, as well as oxidative phosphorylation status. (ii) C2 (immune-activated type), stronger immune activation, hyper-inflammatory state, the complex as well as varied lesion microenvironment, advanced stage, the most severe degree of coronary stenosis severity. (iii) C3 (stromal-rich type), abundant fibrous content, stronger ECM metabolism, immune-suppressed microenvironment. CONCLUSIONS: This study uncovered atherosclerosis complex cellular heterogeneity and a differentiated hierarchy of cell populations underlying SMC. The novel high-resolution stratification system could improve clinical outcomes and facilitate individualized management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03795-9. BioMed Central 2022-12-06 /pmc/articles/PMC9724432/ /pubmed/36474294 http://dx.doi.org/10.1186/s12967-022-03795-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Ge
Liu, Zaoqu
Deng, Jinhai
Liu, Long
Li, Yu
Weng, Siyuan
Guo, Chunguang
Zhou, Zhaokai
Zhang, Li
Wang, Xiaofang
Liu, Gangqiong
Guo, Jiacheng
Bai, Jing
Wang, Yunzhe
Du, Youyou
Li, Tao-Sheng
Tang, Junnan
Zhang, Jinying
Smooth muscle cell fate decisions decipher a high-resolution heterogeneity within atherosclerosis molecular subtypes
title Smooth muscle cell fate decisions decipher a high-resolution heterogeneity within atherosclerosis molecular subtypes
title_full Smooth muscle cell fate decisions decipher a high-resolution heterogeneity within atherosclerosis molecular subtypes
title_fullStr Smooth muscle cell fate decisions decipher a high-resolution heterogeneity within atherosclerosis molecular subtypes
title_full_unstemmed Smooth muscle cell fate decisions decipher a high-resolution heterogeneity within atherosclerosis molecular subtypes
title_short Smooth muscle cell fate decisions decipher a high-resolution heterogeneity within atherosclerosis molecular subtypes
title_sort smooth muscle cell fate decisions decipher a high-resolution heterogeneity within atherosclerosis molecular subtypes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724432/
https://www.ncbi.nlm.nih.gov/pubmed/36474294
http://dx.doi.org/10.1186/s12967-022-03795-9
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