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Zeng Y, Cui X, Li H, Wang Y, Cheng M, Zhang X. Extracellular vesicles originating from the mechanical microenvironment in the pathogenesis and applications for cardiovascular diseases. Regen Ther 2024; 26:1069-1077. [PMID: 39582802 PMCID: PMC11585476 DOI: 10.1016/j.reth.2024.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Revised: 10/04/2024] [Accepted: 10/23/2024] [Indexed: 11/26/2024] Open
Abstract
The mechanical microenvironment plays a crucial regulatory role in the growth and development of cells. Mechanical stimuli, including shear, tensile, compression, and extracellular matrix forces, significantly influence cell adhesion, migration, proliferation, differentiation, and various other cellular functions. Extracellular vesicles (EVs) are involved in numerous physiological and pathological processes, with their occurrence and secretion being strictly regulated by the mechanical microenvironment. Recent studies have confirmed that alterations in the mechanical microenvironment are present in cardiovascular diseases, and the components of EVs can respond to changes in mechanical signals, thereby impacting the progression of these diseases. Additionally, engineered EVs, created by leveraging mechanical microenvironments, can serve as natural drug-delivery vehicles for treating and managing specific diseases. This article systematically reviews the regulatory mechanisms through which the mechanical microenvironment influences EVs and summarizes the role and advancements of EVs derived from this environment in the context of cardiovascular diseases.
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Affiliation(s)
| | | | | | - Yanhui Wang
- School of Basic Medicine Sciences, Shandong Second Medical University, Weifang, Shandong, 261053, PR China
| | - Min Cheng
- School of Basic Medicine Sciences, Shandong Second Medical University, Weifang, Shandong, 261053, PR China
| | - Xiaoyun Zhang
- School of Basic Medicine Sciences, Shandong Second Medical University, Weifang, Shandong, 261053, PR China
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Ali I, Zhang H, Zaidi SAA, Zhou G. Understanding the intricacies of cellular senescence in atherosclerosis: Mechanisms and therapeutic implications. Ageing Res Rev 2024; 96:102273. [PMID: 38492810 DOI: 10.1016/j.arr.2024.102273] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/16/2024] [Accepted: 03/13/2024] [Indexed: 03/18/2024]
Abstract
Cardiovascular disease is currently the largest cause of mortality and disability globally, surpassing communicable diseases, and atherosclerosis is the main contributor to this epidemic. Aging is intimately linked to atherosclerosis development and progression, however, the mechanism of aging in atherosclerosis is not well known. To emphasize the significant research on the involvement of senescent cells in atherosclerosis, we begin by outlining compelling evidence that indicates various types of senescent cells and SASP factors linked to atherosclerotic phenotypes. We subsequently provide a comprehensive summary of the existing knowledge, shedding light on the intricate mechanisms through which cellular senescence contributes to the pathogenesis of atherosclerosis. Further, we cover that senescence can be identified by both structural changes and several senescence-associated biomarkers. Finally, we discuss that preventing accelerated cellular senescence represents an important therapeutic potential, as permanent changes may occur in advanced atherosclerosis. Together, the review summarizes the relationship between cellular senescence and atherosclerosis, and inspects the molecular knowledge, and potential clinical significance of senescent cells in developing senescent-based therapy, thus providing crucial insights into their biology and potential therapeutic exploration.
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Affiliation(s)
- Ilyas Ali
- Department of Medical Cell Biology and Genetics, Guangdong Key Laboratory of Genomic Stability and Disease Prevention, Shenzhen Key Laboratory of Anti-Aging and Regenerative Medicine, and Shenzhen Engineering Laboratory of Regenerative Technologies for Orthopaedic Diseases, Health Sciences Center, Shenzhen University, Shenzhen 518060, PR China; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen 518060, PR China
| | - Hongliang Zhang
- Shenzhen University General Hospital, Shenzhen University, Shenzhen 518060, PR China
| | - Syed Aqib Ali Zaidi
- Department of Medical Cell Biology and Genetics, Guangdong Key Laboratory of Genomic Stability and Disease Prevention, Shenzhen Key Laboratory of Anti-Aging and Regenerative Medicine, and Shenzhen Engineering Laboratory of Regenerative Technologies for Orthopaedic Diseases, Health Sciences Center, Shenzhen University, Shenzhen 518060, PR China
| | - Guangqian Zhou
- Department of Medical Cell Biology and Genetics, Guangdong Key Laboratory of Genomic Stability and Disease Prevention, Shenzhen Key Laboratory of Anti-Aging and Regenerative Medicine, and Shenzhen Engineering Laboratory of Regenerative Technologies for Orthopaedic Diseases, Health Sciences Center, Shenzhen University, Shenzhen 518060, PR China; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen 518060, PR China.
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Chen LJ, Li JYS, Nguyen P, He M, Chen ZB, Subramaniam S, Shyy JYJ, Chien S. Single-cell RNA sequencing unveils unique transcriptomic signatures of endothelial cells and role of ENO1 in response to disturbed flow. Proc Natl Acad Sci U S A 2024; 121:e2318904121. [PMID: 38261622 PMCID: PMC10835041 DOI: 10.1073/pnas.2318904121] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 12/20/2023] [Indexed: 01/25/2024] Open
Abstract
Flow patterns exert significant effects on vascular endothelial cells (ECs) to lead to the focal nature of atherosclerosis. Using a step flow chamber to investigate the effects of disturbed shear (DS) and pulsatile shear (PS) on ECs in the same flow channel, we conducted single-cell RNA sequencing analyses to explore the distinct transcriptomic profiles regulated by DS vs. PS. Integrated analysis identified eight cell clusters and demonstrated that DS induces EC transition from atheroprotective to proatherogenic phenotypes. Using an automated cell type annotation algorithm (SingleR), we showed that DS promoted endothelial-to-mesenchymal transition (EndMT) by inducing the transcriptional phenotypes for inflammation, hypoxia responses, transforming growth factor-beta (TGF-β) signaling, glycolysis, and fatty acid synthesis. Enolase 1 (ENO1), a key gene in glycolysis, was one of the top-ranked genes in the DS-induced EndMT cluster. Pseudotime trajectory analysis revealed that the kinetic expression of ENO1 was significantly associated with EndMT and that ENO1 silencing repressed the DS- and TGF-β-induced EC inflammation and EndMT. Consistent with these findings, ENO1 was highly expressed in ECs at the inner curvature of the mouse aortic arch (which is exposed to DS) and atherosclerotic lesions, suggesting its proatherogenic role in vivo. In summary, we present a comprehensive single-cell atlas of ECs in response to different flow patterns within the same flow channel. Among the DS-regulated genes, ENO1 plays an important role in DS-induced EC inflammation and EndMT. These results provide insights into how hemodynamic forces regulate vascular endothelium in health and disease.
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Affiliation(s)
- Li-Jing Chen
- Department of Bioengineering, University of California at San Diego, La Jolla, CA 92093
- Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA 92093
| | - Julie Yi-Shuan Li
- Department of Bioengineering, University of California at San Diego, La Jolla, CA 92093
- Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA 92093
| | - Phu Nguyen
- Department of Bioengineering, University of California at San Diego, La Jolla, CA 92093
- Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA 92093
| | - Ming He
- Division of Cardiology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093
| | - Zhen Bouman Chen
- Department of Diabetes Complications and Metabolism, Beckman Research Institute, City of Hope, Duarte, CA 91010
| | - Shankar Subramaniam
- Department of Bioengineering, University of California at San Diego, La Jolla, CA 92093
- Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA 92093
- San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA 92093
| | - John Y-J Shyy
- Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA 92093
- Division of Cardiology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093
| | - Shu Chien
- Department of Bioengineering, University of California at San Diego, La Jolla, CA 92093
- Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA 92093
- Division of Cardiology, Department of Medicine, University of California, San Diego, La Jolla, CA 92093
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Katkar G, Ghosh P. Macrophage states: there's a method in the madness. Trends Immunol 2023; 44:954-964. [PMID: 37945504 PMCID: PMC11266835 DOI: 10.1016/j.it.2023.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 11/12/2023]
Abstract
Single-cell approaches have shone a spotlight on discrete context-specific tissue macrophage states, deconstructed to their most minute details. Machine-learning (ML) approaches have recently challenged that dogma by revealing a context-agnostic continuum of states shared across tissues. Both approaches agree that 'brake' and 'accelerator' macrophage subpopulations must be balanced to achieve homeostasis. Both approaches also highlight the importance of ensemble fluidity as subpopulations switch between wide ranges of accelerator and brake phenotypes to mount the most optimal wholistic response to any threat. A full comprehension of the rules that govern these brake and accelerator states is a promising avenue because it can help formulate precise macrophage re-education therapeutic strategies that might selectively boost or suppress disease-associated states and phenotypes across various tissues.
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Affiliation(s)
- Gajanan Katkar
- Department of Cellular and Molecular Medicine, University of California, San Diego, CA, 92093, USA.
| | - Pradipta Ghosh
- Department of Cellular and Molecular Medicine, University of California, San Diego, CA, 92093, USA; Department of Medicine, University of California, San Diego, CA, 92093, USA.
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