Advances in application of single-cell RNA sequencing in cardiovascular research

Hu, Yue; Zhang, Ying; Liu, Yutong; Gao, Yan; San, Tiantian; Li, Xiaoying; Song, Shuli; Yan, Binglong; Zhao, Zhuo

doi:10.3389/fcvm.2022.905151

Cited by 4 publications

(1 citation statement)

References 122 publications

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“…Cardiovascular disease (CVD) is a global health concern with significant morbidity and mortality ( 38 ). Within its range, coronary heart disease (CHD) significantly impacts individuals with T2D, being a key contributor to morbidity and mortality ( 39 ).…”

Section: Discussionmentioning

confidence: 99%

Unraveling the role of VLDL in the relationship between type 2 diabetes and coronary atherosclerosis: a Mendelian randomization analysis

Feng,

Guo,

Liu

et al. 2023

Front. Cardiovasc. Med.

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BackgroundThe causal link between Type 2 diabetes (T2D) and coronary atherosclerosis has been established through wet lab experiments; however, its analysis with Genome-wide association studies (GWAS) data remains unexplored. This study aims to validate this relationship using Mendelian randomization analysis and explore the potential mediation of VLDL in this mechanism.MethodsEmploying Mendelian randomization analysis, we investigated the causal connection between T2D and coronary atherosclerosis. We utilized GWAS summary statistics from European ancestry cohorts, comprising 23,363 coronary atherosclerosis patients and 195,429 controls, along with 32,469 T2D patients and 183,185 controls. VLDL levels, linked to SNPs, were considered as a potential mediating causal factor that might contribute to coronary atherosclerosis in the presence of T2D. We employed the inverse variance weighted (IVW), Egger regression (MR-Egger), weighted median, and weighted model methods for causal effect estimation. A leave-one-out sensitivity analysis was conducted to ensure robustness.ResultsOur Mendelian randomization analysis demonstrated a genetic association between T2D and an increased coronary atherosclerosis risk, with the IVW estimate at 1.13 [95% confidence interval (CI): 1.07–1.20]. Additionally, we observed a suggestive causal link between T2D and VLDL levels, as evidenced by the IVW estimate of 1.02 (95% CI: 0.98–1.07). Further supporting lipid involvement in coronary atherosclerosis pathogenesis, the IVW-Egger estimate was 1.30 (95% CI: 1.06–1.58).ConclusionIn conclusion, this study highlights the autonomous contributions of T2D and VLDL levels to coronary atherosclerosis development. T2D is linked to a 13.35% elevated risk of coronary atherosclerosis, and within T2D patients, VLDL concentration rises by 2.49%. Notably, each standard deviation increase in VLDL raises the likelihood of heart disease by 29.6%. This underscores the significant role of lipid regulation, particularly VLDL, as a mediating pathway in coronary atherosclerosis progression.

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Section: Discussionmentioning

confidence: 99%

Unraveling the role of VLDL in the relationship between type 2 diabetes and coronary atherosclerosis: a Mendelian randomization analysis

Feng,

Guo,

Liu

et al. 2023

Front. Cardiovasc. Med.

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Advance and Application of Single-cell Transcriptomics in Auditory Research

Ma,

Guo,

Tian

et al. 2023

Neurosci. Bull.

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Hearing loss and deafness, as a worldwide disability disease, have been troubling human beings. However, the auditory organ of the inner ear is highly heterogeneous and has a very limited number of cells, which are largely uncharacterized in depth. Recently, with the development and utilization of single-cell RNA sequencing (scRNA-seq), researchers have been able to unveil the complex and sophisticated biological mechanisms of various types of cells in the auditory organ at the single-cell level and address the challenges of cellular heterogeneity that are not resolved through by conventional bulk RNA sequencing (bulk RNA-seq). Herein, we reviewed the application of scRNA-seq technology in auditory research, with the aim of providing a reference for the development of auditory organs, the pathogenesis of hearing loss, and regenerative therapy. Prospects about spatial transcriptomic scRNA-seq, single-cell based genome, and Live-seq technology will also be discussed.

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Research Trends and Hotspots of the Applications of Single-cell RNA Sequencing in Cardiovascular Diseases: A Bibliometric and Visualized Study

Yu,

Ye,

Wang

et al. 2024

Preprint

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Background: Cardiovascular diseases (CVDs) are the leading causes of death globally. The use of single-cell RNA sequencing (scRNA-seq) in CVDs has gained significant attention in recent years, and there is a growing body of literature on the subject. However, a thorough and impartial analysis of the existing state and trends of scRNA-seq in CVDs is lacking. This study aims to examine the development of scRNA-seq in CVDs using bibliometric and visualized analysis. Methods: Global publications on scRNA-seq and CVDs from 2009 to 2023 were extracted from the Web of Science Core Collection (WoSCC) database. The R package "Bibliometrix", VOSviewer, and CiteSpace were employed to perform a bibliometric study. Results: After applying the screening criteria and omitting documents that met exclusive criteria, this bibliometric study included 1,170 papers. These were authored by 8,595 scholars from 1,565 organizations in 57 countries or regions and were published in 369 journals, with 51,073 co-cited references included. Publication volume, citations, and relative research interest index focusing on this field have dramatically increased since 2019. The cooperation network showed that the USA, Chinese Academy of Medical Sciences, and Xin Zou were the most active country, institute, and author in this field, respectively. Circulation Research was the journal with the most publications, which was confirmed to be the top core source by Bradford’s Law. The hotspots and emerging direction in the field manifest in (1) three CVDs (atherosclerosis, myocardial infarction, and heart failure) and (2) three cell types (macrophage, fibroblast, and smooth muscle cell) Conclusions: Our study provides a systematic visualization of the research literature on scRNA-seq in CVDs and provides guidance and reference for understanding the current research status and discovering new research directions.

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Advances in application of single-cell RNA sequencing in cardiovascular research

Cited by 4 publications

References 122 publications

Unraveling the role of VLDL in the relationship between type 2 diabetes and coronary atherosclerosis: a Mendelian randomization analysis

Unraveling the role of VLDL in the relationship between type 2 diabetes and coronary atherosclerosis: a Mendelian randomization analysis

Advance and Application of Single-cell Transcriptomics in Auditory Research

Research Trends and Hotspots of the Applications of Single-cell RNA Sequencing in Cardiovascular Diseases: A Bibliometric and Visualized Study

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