Next-Generation and Single-Cell Sequencing Approaches to Study Atherosclerosis and Vascular Inflammation Pathophysiology: A Systematic Review.
Next-Generation and Single-Cell Sequencing Approaches to Study Atherosclerosis and Vascular Inflammation Pathophysiology: A Systematic Review.
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DOI：
10.3389/fcvm.2022.849675
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发表时间：
2022
影响因子：
3.6
通讯作者：
Zakkar M
中科院分区：
文献类型：
--
作者：
McQueen LW;Ladak SS;Abbasciano R;George SJ;Suleiman MS;Angelini GD;Murphy GJ;Zakkar M
动脉粥样硬化是一种慢性炎症性疾病，仍然是全球发病率和死亡率的主要原因。尽管对这种疾病的发展和进展进行了数十年的研究，但目前的管理和治疗方法仍然不令人满意，需要进一步研究以了解确切的病理生理学。这篇综述旨在利用单细胞和下一代测序技术对目前发表的数据进行全面评估，以确定动脉粥样硬化和血管炎症的关键细胞和分子贡献。电子检索Cochrane中央对照试验登记、MEDLINE和EMBASE数据库从开始到2022年2月。对所有纳入的研究进行叙述性综合。使用到达和SYRCLE核对表工具评估质量评估和偏差分析的风险。有34篇研究符合叙事合成的条件，其中16篇完全使用单细胞，10篇使用下一代测序，8篇使用这些方法的组合。研究调查了许多目标，从探索性组织和斑块分析，细胞表型调查，以及在单细胞和全基因组水平上对疾病进展的生理/血流动力学贡献。一个重要的焦点领域被放在平滑肌细胞、巨噬细胞和干细胞/祖细胞对疾病的贡献上，而对包括淋巴细胞和内皮细胞在内的其他类型细胞的贡献的关注很少。相似样本的单细胞测序结果存在显著的异质性，导致样本间和研究间的差异。单细胞和下一代测序方法为阐明动脉粥样硬化提供了新的手段，其分辨率比以前的方法高得多。这些方法还通过促进疾病状态之间的细胞特异性基因表达谱，显示出可翻译到其他血管疾病状态的巨大潜力。这些技术的实施可能为了解疾病的病理生理学和改进疾病的预防、管理和治疗提供新的方法。系统评价注册：https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021229960，标识：CRD42021229960。
Atherosclerosis is a chronic inflammatory disease that remains the leading cause of morbidity and mortality worldwide. Despite decades of research into the development and progression of this disease, current management and treatment approaches remain unsatisfactory and further studies are required to understand the exact pathophysiology. This review aims to provide a comprehensive assessment of currently published data utilizing single-cell and next-generation sequencing techniques to identify key cellular and molecular contributions to atherosclerosis and vascular inflammation. Electronic searches of Cochrane Central Register of Controlled Trials, MEDLINE, and EMBASE databases were undertaken from inception until February 2022. A narrative synthesis of all included studies was performed for all included studies. Quality assessment and risk of bias analysis was evaluated using the ARRIVE and SYRCLE checklist tools. Thirty-four studies were eligible for narrative synthesis, with 16 articles utilizing single-cell exclusively, 10 utilizing next-generation sequencing and 8 using a combination of these approaches. Studies investigated numerous targets, ranging from exploratory tissue and plaque analysis, cell phenotype investigation and physiological/hemodynamic contributions to disease progression at both the single-cell and whole genome level. A significant area of focus was placed on smooth muscle cell, macrophage, and stem/progenitor contributions to disease, with little focus placed on contributions of other cell types including lymphocytes and endothelial cells. A significant level of heterogeneity exists in the outcomes from single-cell sequencing of similar samples, leading to inter-sample and inter-study variation. Single-cell and next-generation sequencing methodologies offer novel means of elucidating atherosclerosis with significantly higher resolution than previous methodologies. These approaches also show significant potential for translatability into other vascular disease states, by facilitating cell-specific gene expression profiles between disease states. Implementation of these technologies may offer novel approaches to understanding the disease pathophysiology and improving disease prevention, management, and treatment. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021229960, identifier: CRD42021229960.
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影响因子：
3.6
作者：
Gallina AL;Rykaczewska U;Wirka RC;Caravaca AS;Shavva VS;Youness M;Karadimou G;Lengquist M;Razuvaev A;Paulsson-Berne G;Quertermous T;Gisterå A;Malin SG;Tarnawski L;Matic L;Olofsson PS
通讯作者：
Olofsson PS
影响因子：
6
作者：
Burger F;Baptista D;Roth A;Brandt KJ;da Silva RF;Montecucco F;Mach F;Miteva K
通讯作者：
Miteva K
DOI：
10.1161/atvbaha.119.312732
发表时间：
2019-10-01
影响因子：
8.7
作者：
Gu, Wenduo;Nowak, Witold N.;Xu, Qingbo
通讯作者：
Xu, Qingbo
影响因子：
20.1
作者：
Bentzon, Jacob Fog;Otsuka, Fumiyuki;Falk, Erling
通讯作者：
Falk, Erling
影响因子：
3.7
作者：
Bao MH;Zhang RQ;Huang XS;Zhou J;Guo Z;Xu BF;Liu R
通讯作者：
Liu R