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Cruciani S, Coradduzza D, Balzano F, Garroni G, Azara E, Pala R, Delitala AP, Madonia M, Tedde A, Capobianco G, Petrillo M, Angelucci C, Carru C, Ventura C, Maioli M. Modulation of adipose-derived stem cell behavior by prostate pathology-associated plasma: insights from in vitro exposure. Sci Rep 2024; 14:14765. [PMID: 38926454 PMCID: PMC11208502 DOI: 10.1038/s41598-024-64625-0] [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: 03/16/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Adipose-derived stem cells (ADSCs) are promising in regenerative medicine. Their proliferation, survival and activation are influenced by specific signals within their microenvironment, also known as niche. The stem cell niche is regulated by complex interactions between multiple cell types. When transplanted in a specific area, ADSCs can secrete several immunomodulatory factors. At the same time, a tumor microenvironment can influence stem cell behavior, modulating proliferation and their ability to differentiate into a specific phenotype. Whitin this context, we exposed ADSCs to plasma samples derived from human patients diagnosed with prostate cancer (PC), or precancerous lesions (PL), or benign prostatic hyperplasia (BPH) for 4, 7 or 10 days. We then analyzed the expression of main stemness-related markers and cell-cycle regulators. We also measured cytokine production and polyamine secretion in culture medium and evaluated cell morphology and collagen production by confocal microscopy. The results obtained from this study show significant changes in the morphology of ADSCs exposed to plasma samples, especially in the presence of prostate cancer plasma, suggesting important implications in the use of ADSCs for the development of new treatments and application in regenerative medicine.
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Affiliation(s)
- Sara Cruciani
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100, Sassari, Italy
| | - Donatella Coradduzza
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100, Sassari, Italy
| | - Francesca Balzano
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100, Sassari, Italy
| | - Giuseppe Garroni
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100, Sassari, Italy
| | - Emanuela Azara
- Institute of Biomolecular Chemistry, National Research Council, 07100, Sassari, Italy
| | - Renzo Pala
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100, Sassari, Italy
| | - Alessandro P Delitala
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100, Sassari, Italy
| | - Massimo Madonia
- Department of Clinical and Experimental Medicine, Urologic Clinic, University of Sassari, Sassari, Italy
| | - Alessandro Tedde
- Department of Clinical and Experimental Medicine, Urologic Clinic, University of Sassari, Sassari, Italy
| | - Giampiero Capobianco
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100, Sassari, Italy
| | - Marco Petrillo
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100, Sassari, Italy
| | - Cecilia Angelucci
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100, Sassari, Italy
| | - Ciriaco Carru
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100, Sassari, Italy
- Medical Oncology Unit, University Hospital (AOU) of Sassari, 07100, Sassari, Italy
| | - Carlo Ventura
- Laboratory of Molecular Biology and Stem Cell Engineering, Istituto Nazionale Biostrutture E Biosistemi (INBB)-Eldor Lab, Via Corticella 183, 40128, Bologna, Italy.
| | - Margherita Maioli
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100, Sassari, Italy.
- Center for Developmental Biology and Reprogramming-CEDEBIOR, Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100, Sassari, Italy.
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Liu X, Yang J, Yan Y, Li Q, Huang RL. Unleashing the potential of adipose organoids: A revolutionary approach to combat obesity-related metabolic diseases. Theranostics 2024; 14:2075-2098. [PMID: 38505622 PMCID: PMC10945346 DOI: 10.7150/thno.93919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 02/15/2024] [Indexed: 03/21/2024] Open
Abstract
Obesity-related metabolic diseases, including obesity, diabetes, hyperlipidemia, and non-alcoholic fatty liver diseases pose a significant threat to health. However, comprehensive pathogenesis exploration and effective therapy development are impeded by the limited availability of human models. Notably, advances in organoid technology enable the generation of adipose organoids that recapitulate structures and functions of native human adipose tissues to investigate mechanisms and develop corresponding treatments for obesity-related metabolic diseases. Here, we review the general principles, sources, and three-dimensional techniques for engineering adipose organoids, along with strategies to promote maturation. We also outline the application of white adipose organoids, primarily for disease modeling and drug screening, and highlight the therapeutic potential of thermogenic beige and brown adipose organoids in promoting weight loss and glucose and lipid metabolic homeostasis. We also discuss the challenges and prospects in the establishment and bench-to-bedside of adipose organoids, as well as their potential applications.
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Affiliation(s)
- Xingran Liu
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Institute for Plastic and Reconstructive Surgery, Shanghai, China
| | - Jing Yang
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Institute for Plastic and Reconstructive Surgery, Shanghai, China
| | - Yuxin Yan
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Institute for Plastic and Reconstructive Surgery, Shanghai, China
| | - Qingfeng Li
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Institute for Plastic and Reconstructive Surgery, Shanghai, China
| | - Ru-Lin Huang
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Institute for Plastic and Reconstructive Surgery, Shanghai, China
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3
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Wang S, Liu Y, Chen J, He Y, Ma W, Liu X, Sun X. Effects of multi-organ crosstalk on the physiology and pathology of adipose tissue. Front Endocrinol (Lausanne) 2023; 14:1198984. [PMID: 37383400 PMCID: PMC10293893 DOI: 10.3389/fendo.2023.1198984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 05/26/2023] [Indexed: 06/30/2023] Open
Abstract
In previous studies, adipocytes were found to play an important role in regulating whole-body nutrition and energy balance, and are also important in energy metabolism, hormone secretion, and immune regulation. Different adipocytes have different contributions to the body, with white adipocytes primarily storing energy and brown adipocytes producing heat. Recently discovered beige adipocytes, which have characteristics in between white and brown adipocytes, also have the potential to produce heat. Adipocytes interact with other cells in the microenvironment to promote blood vessel growth and immune and neural network interactions. Adipose tissue plays an important role in obesity, metabolic syndrome, and type 2 diabetes. Dysfunction in adipose tissue endocrine and immune regulation can cause and promote the occurrence and development of related diseases. Adipose tissue can also secrete multiple cytokines, which can interact with organs; however, previous studies have not comprehensively summarized the interaction between adipose tissue and other organs. This article reviews the effect of multi-organ crosstalk on the physiology and pathology of adipose tissue, including interactions between the central nervous system, heart, liver, skeletal muscle, and intestines, as well as the mechanisms of adipose tissue in the development of various diseases and its role in disease treatment. It emphasizes the importance of a deeper understanding of these mechanisms for the prevention and treatment of related diseases. Determining these mechanisms has enormous potential for identifying new targets for treating diabetes, metabolic disorders, and cardiovascular diseases.
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Affiliation(s)
- Sufen Wang
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China
- Institute of Aging Research, School of Medical Technology, Guangdong Medical University, Dongguan, China
| | - Yifan Liu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China
- Institute of Aging Research, School of Medical Technology, Guangdong Medical University, Dongguan, China
| | - Jiaqi Chen
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China
- Institute of Aging Research, School of Medical Technology, Guangdong Medical University, Dongguan, China
| | - Yuejing He
- Clinical Laboratory, Dongguan Eighth People’s Hospital, Dongguan, China
| | - Wanrui Ma
- Department of General Medicine, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China
| | - Xinguang Liu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China
- Institute of Aging Research, School of Medical Technology, Guangdong Medical University, Dongguan, China
| | - Xuerong Sun
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China
- Institute of Aging Research, School of Medical Technology, Guangdong Medical University, Dongguan, China
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4
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Wei D, Tian X, Zhai X, Sun C. Adipose Tissue Macrophage-Mediated Inflammation in Obesity: A Link to Posttranslational Modification. Immunol Invest 2023:1-25. [PMID: 37129471 DOI: 10.1080/08820139.2023.2205883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Adipose tissue macrophages (ATM) are an essential type of immune cells in adipose tissue. Obesity induces the inflammation of adipose tissues, as expressed by ATM accumulation, that is more likely to become a source of systemic metabolic diseases, including insulin resistance. The process is characterized by the transcriptional regulation of inflammatory pathways by virtue of signaling molecules such as cytokines and free fatty acids. Notably, posttranslational modification (PTM) is a key link for these signaling molecules to trigger the proinflammatory or anti-inflammatory phenotype of ATMs. This review focuses on summarizing the functions and molecular mechanisms of ATMs regulating inflammation in obese adipose tissue. Furthermore, the role of PTM is elaborated, hoping to identify new horizons of treatment and prevention for obesity-mediated metabolic disease.
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Affiliation(s)
- Dongqin Wei
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shanxi, China
| | - Xin Tian
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shanxi, China
| | - Xiangyun Zhai
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shanxi, China
| | - Chao Sun
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shanxi, China
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5
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The Application of Single-Cell RNA Sequencing in the Inflammatory Tumor Microenvironment. Biomolecules 2023; 13:biom13020344. [PMID: 36830713 PMCID: PMC9953711 DOI: 10.3390/biom13020344] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/02/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
The initiation and progression of tumors are complex. The cancer evolution-development hypothesis holds that the dysregulation of immune balance is caused by the synergistic effect of immune genetic factors and environmental factors that stimulate and maintain non-resolving inflammation. Throughout the cancer development process, this inflammation creates a microenvironment for the evolution and development of cancer. Research on the inflammatory tumor microenvironment (TME) explains the initiation and progression of cancer and guides anti-cancer immunotherapy. Single-cell RNA sequencing (scRNA-seq) can detect the transcription levels of cells at the single-cell resolution level, reveal the heterogeneity and evolutionary trajectory of infiltrated immune cells and cancer cells, and provide insight into the composition and function of each cell group in the inflammatory TME. This paper summarizes the application of scRNA-seq in inflammatory TME.
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6
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Yanina IY, Dyachenko PA, Abdurashitov AS, Shalin AS, Minin IV, Minin OV, Bulygin AD, Vrazhnov DA, Kistenev YV, Tuchin VV. Light distribution in fat cell layers at physiological temperatures. Sci Rep 2023; 13:1073. [PMID: 36658207 PMCID: PMC9852459 DOI: 10.1038/s41598-022-25012-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 11/23/2022] [Indexed: 01/20/2023] Open
Abstract
Adipose tissue (AT) optical properties for physiological temperatures and in vivo conditions are still insufficiently studied. The AT is composed mainly of packed cells close to spherical shape. It is a possible reason that AT demonstrates a very complicated spatial structure of reflected or transmitted light. It was shown with a cellular tissue phantom, is split into a fan of narrow tracks, originating from the insertion point and representing filament-like light distribution. The development of suitable approaches for describing light propagation in a AT is urgently needed. A mathematical model of the propagation of light through the layers of fat cells is proposed. It has been shown that the sharp local focusing of optical radiation (light localized near the shadow surface of the cells) and its cleavage by coupling whispering gallery modes depends on the optical thickness of the cell layer. The optical coherence tomography numerical simulation and experimental studies results demonstrate the importance of sharp local focusing in AT for understanding its optical properties for physiological conditions and at AT heating.
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Affiliation(s)
- Irina Yu Yanina
- Science Medical Center, Saratov State University, 83 Astrakhanskaya Str., Saratov, Russia, 410012. .,Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.
| | - Polina A Dyachenko
- Science Medical Center, Saratov State University, 83 Astrakhanskaya Str., Saratov, Russia, 410012.,Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050
| | - Arkady S Abdurashitov
- Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology, 3Nobelya Str., Moscow, Russia, 121205
| | - Alexander S Shalin
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Russia.,Institute of Telecommunications, Riga Technical University, 12 Azenes str., LV-1658, Riga, Latvia.,Laboratory of Fiber Optics and Optical Measurements UB-1, Kotel'nikov Institute of Radio Engineering and Electronics of Russian Academy of Sciences (Ulyanovsk Branch), 48 Goncharova Str., Ulyanovsk, Russia, 432011
| | - Igor V Minin
- School of Nondestructive Testing, Tomsk Polytechnic University, 30 Lenin Av., Tomsk, Russia, 634050.,Institute for Strategic Studies, Siberian State University of Geosystems and Technologies, 10 Plahotnogo Str., Novosibirsk, Russia, 630108
| | - Oleg V Minin
- School of Nondestructive Testing, Tomsk Polytechnic University, 30 Lenin Av., Tomsk, Russia, 634050.,Institute for Strategic Studies, Siberian State University of Geosystems and Technologies, 10 Plahotnogo Str., Novosibirsk, Russia, 630108
| | - Andrey D Bulygin
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory of Nonlinear Optical Interactions, V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Sciences, 1 Academician Zuev Sq., Tomsk, Russia, 634055
| | - Denis A Vrazhnov
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Sciences, 1 Academician Zuev Sq., Tomsk, Russia, 634055
| | - Yury V Kistenev
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Sciences, 1 Academician Zuev Sq., Tomsk, Russia, 634055
| | - Valery V Tuchin
- Science Medical Center, Saratov State University, 83 Astrakhanskaya Str., Saratov, Russia, 410012.,Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control, FRC "Saratov Scientific Centre of the Russian Academy of Sciences", 24 Rabochaya Str., Saratov, Russia, 410028.,A.N. Bach Institute of Biochemistry, FRC "Fundamentals of Biotechnology", 33-2, Leninsky Av., Moscow, Russia, 119991
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Naftaly A, Kislev N, Izgilov R, Adler R, Silber M, Shalgi R, Benayahu D. Nutrition Alters the Stiffness of Adipose Tissue and Cell Signaling. Int J Mol Sci 2022; 23:ijms232315237. [PMID: 36499567 PMCID: PMC9736042 DOI: 10.3390/ijms232315237] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 11/17/2022] [Accepted: 11/26/2022] [Indexed: 12/12/2022] Open
Abstract
Adipose tissue is a complex organ composed of various cell types and an extracellular matrix (ECM). The visceral adipose tissue (VAT) is dynamically altered in response to nutritional regimens that lead to local cues affecting the cells and ECM. The adipocytes are in conjunction with the surrounding ECM that maintains the tissue's niche, provides a scaffold for cells and modulates their signaling. In this study, we provide a better understanding of the crosstalk between nutritional regimens and the ECM's stiffness. Histological analyses showed that the adipocytes in mice fed a high-fat diet (HFD) were increased in size, while the ECM was also altered with changes in mass and composition. HFD-fed mice exhibited a decrease in elastin and an increase in collagenous proteins. Rheometer measurements revealed a stiffer ECM in whole tissue (nECM) and decellularized (deECM) in HFD-fed animals. These alterations in the ECM regulate cellular activity and influence their metabolic function. HFD-fed mice expressed high levels of the receptor for advanced-glycation-end-products (RAGE), indicating that AGEs might play a role in these processes. The cells also exhibited an increase in phosphoserine332 of IRS-1, a decrease in the GLUT4 transporter levels at the cells' membrane, and a consequent reduction in insulin sensitivity. These results show how alterations in the stiffness of ECM proteins can affect the mechanical cues transferred to adipocytes and, thereby, influence the adipocytes' functionality, leading to metabolic disorders.
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Kislev N, Eidelheit S, Perlmutter S, Benayahu D. How to follow lipid droplets dynamics during adipocyte metabolism. J Cell Physiol 2022; 237:4157-4168. [PMID: 35986713 PMCID: PMC9804707 DOI: 10.1002/jcp.30857] [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: 02/16/2022] [Revised: 07/07/2022] [Accepted: 08/03/2022] [Indexed: 01/09/2023]
Abstract
Lipid droplets (LDs) are important cellular organelles due to their ability to accumulate and store lipids. LD dynamics are associated with various cellular and metabolic processes. Accurate monitoring of LD's size and shape is of prime importance as it indicates the metabolic status of the cells. Unintrusive continuous quantification techniques have a clear advantage in analyzing LDs as they measure and monitor the cells' metabolic function and droplets over time. Here, we present a novel machine-learning-based method for LDs analysis by segmentation of phase-contrast images of differentiated adipocytes (in vitro) and adipose tissue (in vivo). We developed a new workflow based on the ImageJ waikato environment for knowledge analysis segmentation plugin, which provides an accurate, label-free, live single-cell, and organelle quantification of LD-related parameters. By applying the new method on differentiating 3T3-L1 cells, the size of LDs was analyzed over time in differentiated adipocytes and their correlation with other morphological parameters. Moreover, we analyzed the LDs dynamics during catabolic changes such as lipolysis and lipophagy and demonstrated its ability to identify different cellular subpopulations based on their structural, numerical, and spatial variability. This analysis was also implemented on unstained ex vivo adipose tissues to measure adipocyte size, an important readout of the tissue's metabolism. The presented approach can be applied in different LD-related metabolic conditions to provide a better understanding of LD biogenesis and function in vivo and in vitro while serving as a new platform that enables rapid and accurate screening of data sets.
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Affiliation(s)
- Nadav Kislev
- Department of Cell and Developmental Biology, Sackler School of MedicineTel Aviv UniversityTel AvivIsrael
| | - Shira Eidelheit
- Department of Cell and Developmental Biology, Sackler School of MedicineTel Aviv UniversityTel AvivIsrael
| | - Shaked Perlmutter
- Department of Cell and Developmental Biology, Sackler School of MedicineTel Aviv UniversityTel AvivIsrael
| | - Dafna Benayahu
- Department of Cell and Developmental Biology, Sackler School of MedicineTel Aviv UniversityTel AvivIsrael
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Kislev N, Mor-Yossef Moldovan L, Barak R, Egozi M, Benayahu D. MYH10 Governs Adipocyte Function and Adipogenesis through Its Interaction with GLUT4. Int J Mol Sci 2022; 23:ijms23042367. [PMID: 35216482 PMCID: PMC8875441 DOI: 10.3390/ijms23042367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/16/2022] [Accepted: 02/17/2022] [Indexed: 12/10/2022] Open
Abstract
Adipogenesis is dependent on cytoskeletal remodeling that determines and maintains cellular shape and function. Cytoskeletal proteins contribute to the filament-based network responsible for controlling the shape of adipocytes and promoting the intracellular trafficking of cellular components. Currently, the understanding of these mechanisms and their effect on differentiation and adipocyte function remains incomplete. In this study, we identified the non-muscle myosin 10 (MYH10) as a novel regulator of adipogenesis and adipocyte function through its interaction with the insulin-dependent glucose transporter 4 (GLUT4). MYH10 depletion in preadipocytes resulted in impaired adipogenesis, with knockdown cells exhibiting an absence of morphological alteration and molecular signals. MYH10 was shown in a complex with GLUT4 in adipocytes, an interaction regulated by insulin induction. The missing adipogenic capacity of MYH10 knockdown cells was restored when the cells took up GLUT4 vesicles from neighbor wildtype cells in a co-culture system. This signaling cascade is regulated by the protein kinase C ζ (PKCζ), which interacts with MYH10 to modify the localization and interaction of both GLUT4 and MYH10 in adipocytes. Overall, our study establishes MYH10 as an essential regulator of GLUT4 translocation, affecting both adipogenesis and adipocyte function, highlighting its importance in future cytoskeleton-based studies in adipocytes.
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