1
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Wu X, Ye Z. Mechanoimmunology of T-Cell Activation. Scand J Immunol 2025; 101:e70009. [PMID: 39973081 DOI: 10.1111/sji.70009] [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: 08/28/2024] [Revised: 01/13/2025] [Accepted: 02/01/2025] [Indexed: 02/21/2025]
Abstract
T-cell activation, a pivotal process in the adaptive immune response, is initiated when the T cell receptor (TCR) recognises and binds to antigenic peptide-major histocompatibility complex (pMHC) molecules on the cell membrane. Emerging evidence indicates that mechanical cues regulate T-cell activation by modulating TCR signalling and mechanotransduction pathways, although the precise underlying mechanisms remain elusive. This review highlights recent findings suggesting that the TCR functions as a mechanosensor, capable of sensing and transmitting mechanical forces through conformational changes. Key steps in T-cell mechanotransduction are discussed, including the roles of the cytoskeleton, mechanosensitive channels such as Piezo 1 and microvilli in facilitating activation. Additionally, we analyse the mechanical responses of chimeric antigen receptor T cells. Understanding the mechanobiological mechanisms underlying T-cell activation offers novel insights and potential strategies for advancing immunotherapies and treating immune-related disorders.
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Affiliation(s)
- Xuelan Wu
- Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing, China
| | - Zhiyi Ye
- Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing, China
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2
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Tang D, He S, Yang Y, Zeng Y, Xiong M, Ding D, Wei W, Lyu Y, Zhang XB, Tan W. Microenvironment-confined kinetic elucidation and implementation of a DNA nano-phage with a shielded internal computing layer. Nat Commun 2025; 16:923. [PMID: 39843440 PMCID: PMC11754784 DOI: 10.1038/s41467-025-56219-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Accepted: 01/13/2025] [Indexed: 01/24/2025] Open
Abstract
Multiple receptor analysis-based DNA molecular computation has been developed to mitigate the off-target effect caused by nonspecific expression of cell membrane receptors. However, it is quite difficult to involve nanobodies into molecular computation with programmed recognition order because of the "always-on" response mode and the inconvenient molecular programming. Here we propose a spatial segregation-based molecular computing strategy with a shielded internal computing layer termed DNA nano-phage (DNP) to program nanobody into DNA molecular computation and build a series of kinetic models to elucidate the mechanism of microenvironment-confinement. We explain the contradiction between fast molecular diffusion and effective DNA computation using a "diffusion trap" theory and comprehensively overcome the kinetic bottleneck of DNP by determining the rate-limiting step. We predict and verify that identifying trace amount of target cells in complex cell mixtures is an intrinsic merit of microenvironment-confined DNA computation. Finally, we show that DNP can efficiently work in complex human blood samples by shielding the interference of erythrocytes and enhance phagocytosis of macrophages toward target cells by blocking CD47-SIRPα pathway.
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Affiliation(s)
- Decui Tang
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, China
| | - Shuoyao He
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, China
| | - Yani Yang
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, China
| | - Yuqi Zeng
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, China
| | - Mengyi Xiong
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, China
| | - Ding Ding
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Weijun Wei
- Department of Nuclear Medicine, Institute of Clinical Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yifan Lyu
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, China.
- Furong Laboratory, Changsha, Hunan, China.
| | - Xiao-Bing Zhang
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, China.
| | - Weihong Tan
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
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3
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Yu S, Wang S, Wang X, Xu X. The axis of tumor-associated macrophages, extracellular matrix proteins, and cancer-associated fibroblasts in oncogenesis. Cancer Cell Int 2024; 24:335. [PMID: 39375726 PMCID: PMC11459962 DOI: 10.1186/s12935-024-03518-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 09/29/2024] [Indexed: 10/09/2024] Open
Abstract
The extracellular matrix (ECM) is a complex, dynamic network of multiple macromolecules that serve as a crucial structural and physical scaffold for neighboring cells. In the tumor microenvironment (TME), ECM proteins play a significant role in mediating cellular communication between cancer-associated fibroblasts (CAFs) and tumor-associated macrophages (TAMs). Revealing the ECM modification of the TME necessitates the intricate signaling cascades that transpire among diverse cell populations and ECM proteins. The advent of single-cell sequencing has enabled the identification and refinement of specific cellular subpopulations, which has substantially enhanced our comprehension of the intricate milieu and given us a high-resolution perspective on the diversity of ECM proteins. However, it is essential to integrate single-cell data and establish a coherent framework. In this regard, we present a comprehensive review of the relationships among ECM, TAMs, and CAFs. This encompasses insights into the ECM proteins released by TAMs and CAFs, signaling integration in the TAM-ECM-CAF axis, and the potential applications and limitations of targeted therapies for CAFs. This review serves as a reliable resource for focused therapeutic strategies while highlighting the crucial role of ECM proteins as intermediates in the TME.
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Affiliation(s)
- Shuhong Yu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Siyu Wang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Xuanyu Wang
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Ximing Xu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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4
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Settle AH, Winer BY, de Jesus MM, Seeman L, Wang Z, Chan E, Romin Y, Li Z, Miele MM, Hendrickson RC, Vorselen D, Perry JSA, Huse M. β2 integrins impose a mechanical checkpoint on macrophage phagocytosis. Nat Commun 2024; 15:8182. [PMID: 39294148 PMCID: PMC11411054 DOI: 10.1038/s41467-024-52453-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Accepted: 09/06/2024] [Indexed: 09/20/2024] Open
Abstract
Phagocytosis is an intensely physical process that depends on the mechanical properties of both the phagocytic cell and its chosen target. Here, we employed differentially deformable hydrogel microparticles to examine the role of cargo rigidity in the regulation of phagocytosis by macrophages. Whereas stiff cargos elicited canonical phagocytic cup formation and rapid engulfment, soft cargos induced an architecturally distinct response, characterized by filamentous actin protrusions at the center of the contact site, slower cup advancement, and frequent phagocytic stalling. Using phosphoproteomics, we identified β2 integrins as critical mediators of this mechanically regulated phagocytic switch. Macrophages lacking β2 integrins or their downstream effectors, Talin1 and Vinculin, exhibited specific defects in phagocytic cup architecture and selective suppression of stiff cargo uptake. We conclude that integrin signaling serves as a mechanical checkpoint during phagocytosis to pair cargo rigidity to the appropriate mode of engulfment.
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Affiliation(s)
- Alexander H Settle
- Louis V. Gerstner, Jr., Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Benjamin Y Winer
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Miguel M de Jesus
- Louis V. Gerstner, Jr., Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lauren Seeman
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zhaoquan Wang
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Immunology & Molecular Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA
| | - Eric Chan
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yevgeniy Romin
- Molecular Cytology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zhuoning Li
- Proteomics Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew M Miele
- Proteomics Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ronald C Hendrickson
- Proteomics Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Biochemistry and Molecular Biology, University of Miami School of Medicine, Miami, FL, USA
| | - Daan Vorselen
- Cell Biology and Immunology, Wageningen University & Research, Wageningen, The Netherlands
| | - Justin S A Perry
- Louis V. Gerstner, Jr., Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Immunology & Molecular Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA
| | - Morgan Huse
- Louis V. Gerstner, Jr., Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Immunology & Molecular Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA.
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5
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Hu Y, Li H, Zhang C, Feng J, Wang W, Chen W, Yu M, Liu X, Zhang X, Liu Z. DNA-based ForceChrono probes for deciphering single-molecule force dynamics in living cells. Cell 2024; 187:3445-3459.e15. [PMID: 38838668 DOI: 10.1016/j.cell.2024.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 04/15/2024] [Accepted: 05/02/2024] [Indexed: 06/07/2024]
Abstract
Understanding cellular force transmission dynamics is crucial in mechanobiology. We developed the DNA-based ForceChrono probe to measure force magnitude, duration, and loading rates at the single-molecule level within living cells. The ForceChrono probe circumvents the limitations of in vitro single-molecule force spectroscopy by enabling direct measurements within the dynamic cellular environment. Our findings reveal integrin force loading rates of 0.5-2 pN/s and durations ranging from tens of seconds in nascent adhesions to approximately 100 s in mature focal adhesions. The probe's robust and reversible design allows for continuous monitoring of these dynamic changes as cells undergo morphological transformations. Additionally, by analyzing how mutations, deletions, or pharmacological interventions affect these parameters, we can deduce the functional roles of specific proteins or domains in cellular mechanotransduction. The ForceChrono probe provides detailed insights into the dynamics of mechanical forces, advancing our understanding of cellular mechanics and the molecular mechanisms of mechanotransduction.
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Affiliation(s)
- Yuru Hu
- The Institute for Advanced Studies, TaiKang Center for Life and Medical Sciences, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Hongyun Li
- The Institute for Advanced Studies, TaiKang Center for Life and Medical Sciences, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei Province 430072, China.
| | - Chen Zhang
- The Institute for Advanced Studies, TaiKang Center for Life and Medical Sciences, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Jingjing Feng
- The Institute for Advanced Studies, TaiKang Center for Life and Medical Sciences, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Wenxu Wang
- The Institute for Advanced Studies, TaiKang Center for Life and Medical Sciences, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Wei Chen
- The Institute for Advanced Studies, TaiKang Center for Life and Medical Sciences, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Miao Yu
- The Institute for Advanced Studies, TaiKang Center for Life and Medical Sciences, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Xinping Liu
- The Institute for Advanced Studies, TaiKang Center for Life and Medical Sciences, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Xinghua Zhang
- The Institute for Advanced Studies, TaiKang Center for Life and Medical Sciences, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei Province 430072, China.
| | - Zheng Liu
- The Institute for Advanced Studies, TaiKang Center for Life and Medical Sciences, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, Hubei Province 430072, China.
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Huang Y, Chen T, Chen X, Chen X, Zhang J, Liu S, Lu M, Chen C, Ding X, Yang C, Huang R, Song Y. Decoding Biomechanical Cues Based on DNA Sensors. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2310330. [PMID: 38185740 DOI: 10.1002/smll.202310330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 12/18/2023] [Indexed: 01/09/2024]
Abstract
Biological systems perceive and respond to mechanical forces, generating mechanical cues to regulate life processes. Analyzing biomechanical forces has profound significance for understanding biological functions. Therefore, a series of molecular mechanical techniques have been developed, mainly including single-molecule force spectroscopy, traction force microscopy, and molecular tension sensor systems, which provide indispensable tools for advancing the field of mechanobiology. DNA molecules with a programmable structure and well-defined mechanical characteristics have attached much attention to molecular tension sensors as sensing elements, and are designed for the study of biomechanical forces to present biomechanical information with high sensitivity and resolution. In this work, a comprehensive overview of molecular mechanical technology is presented, with a particular focus on molecular tension sensor systems, specifically those based on DNA. Finally, the future development and challenges of DNA-based molecular tension sensor systems are looked upon.
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Affiliation(s)
- Yihao Huang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
| | - Ting Chen
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
| | - Xiaodie Chen
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
| | - Ximing Chen
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
| | - Jialu Zhang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
| | - Sinong Liu
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
| | - Menghao Lu
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
| | - Chong Chen
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
| | - Xiangyu Ding
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
| | - Chaoyong Yang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
- Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Ruiyun Huang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
| | - Yanling Song
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, the Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, Fujian, 361005, China
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7
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Mittelheisser V, Gensbittel V, Bonati L, Li W, Tang L, Goetz JG. Evidence and therapeutic implications of biomechanically regulated immunosurveillance in cancer and other diseases. NATURE NANOTECHNOLOGY 2024; 19:281-297. [PMID: 38286876 DOI: 10.1038/s41565-023-01535-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 09/26/2023] [Indexed: 01/31/2024]
Abstract
Disease progression is usually accompanied by changes in the biochemical composition of cells and tissues and their biophysical properties. For instance, hallmarks of cancer include the stiffening of tissues caused by extracellular matrix remodelling and the softening of individual cancer cells. In this context, accumulating evidence has shown that immune cells sense and respond to mechanical signals from the environment. However, the mechanisms regulating these mechanical aspects of immune surveillance remain partially understood. The growing appreciation for the 'mechano-immunology' field has urged researchers to investigate how immune cells sense and respond to mechanical cues in various disease settings, paving the way for the development of novel engineering strategies that aim at mechanically modulating and potentiating immune cells for enhanced immunotherapies. Recent pioneer developments in this direction have laid the foundations for leveraging 'mechanical immunoengineering' strategies to treat various diseases. This Review first outlines the mechanical changes occurring during pathological progression in several diseases, including cancer, fibrosis and infection. We next highlight the mechanosensitive nature of immune cells and how mechanical forces govern the immune responses in different diseases. Finally, we discuss how targeting the biomechanical features of the disease milieu and immune cells is a promising strategy for manipulating therapeutic outcomes.
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Affiliation(s)
- Vincent Mittelheisser
- Tumor Biomechanics, INSERM UMR_S1109, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
- Equipe Labellisée Ligue Contre le Cancer, Strasbourg, France
| | - Valentin Gensbittel
- Tumor Biomechanics, INSERM UMR_S1109, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
- Equipe Labellisée Ligue Contre le Cancer, Strasbourg, France
| | - Lucia Bonati
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Weilin Li
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Li Tang
- Institute of Bioengineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
- Institute of Materials Science and Engineering, EPFL, Lausanne, Switzerland.
| | - Jacky G Goetz
- Tumor Biomechanics, INSERM UMR_S1109, Strasbourg, France.
- Université de Strasbourg, Strasbourg, France.
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France.
- Equipe Labellisée Ligue Contre le Cancer, Strasbourg, France.
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Xiong J, Xiao R, Zhao J, Zhao Q, Luo M, Li F, Zhang W, Wu M. Matrix stiffness affects tumor-associated macrophage functional polarization and its potential in tumor therapy. J Transl Med 2024; 22:85. [PMID: 38246995 PMCID: PMC10800063 DOI: 10.1186/s12967-023-04810-3] [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: 11/08/2023] [Accepted: 12/17/2023] [Indexed: 01/23/2024] Open
Abstract
The extracellular matrix (ECM) plays critical roles in cytoskeletal support, biomechanical transduction and biochemical signal transformation. Tumor-associated macrophage (TAM) function is regulated by matrix stiffness in solid tumors and is often associated with poor prognosis. ECM stiffness-induced mechanical cues can activate cell membrane mechanoreceptors and corresponding mechanotransducers in the cytoplasm, modulating the phenotype of TAMs. Currently, tuning TAM polarization through matrix stiffness-induced mechanical stimulation has received increasing attention, whereas its effect on TAM fate has rarely been summarized. A better understanding of the relationship between matrix stiffness and macrophage function will contribute to the development of new strategies for cancer therapy. In this review, we first introduced the overall relationship between macrophage polarization and matrix stiffness, analyzed the changes in mechanoreceptors and mechanotransducers mediated by matrix stiffness on macrophage function and tumor progression, and finally summarized the effects of targeting ECM stiffness on tumor prognosis to provide insight into this new field.
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Affiliation(s)
- Jiaqiang Xiong
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Rourou Xiao
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Jiahui Zhao
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Qiuyan Zhao
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Manwen Luo
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Feng Li
- Department of Medical Genetics, School of Basic Medical Sciences, Wuhan University, Wuhan, 430071, China.
- Hubei Provincial Key Laboratory of Allergy and Immunology, Wuhan, 430071, China.
| | - Wei Zhang
- Department of Obstetrics and Gynecology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
| | - Meng Wu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430032, China.
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