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Kang TW, Lee YJ, Rigo B, Soltis I, Lee J, Kim H, Wang G, Zavanelli N, Ayesh E, Sohail W, Majditehran H, Kozin SH, Hammond FL, Yeo WH. Soft Nanomembrane Sensor-Enabled Wearable Multimodal Sensing and Feedback System for Upper-Limb Sensory Impairment Assistance. ACS NANO 2025; 19:5613-5628. [PMID: 39888714 PMCID: PMC11823636 DOI: 10.1021/acsnano.4c15530] [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: 10/31/2024] [Revised: 01/20/2025] [Accepted: 01/23/2025] [Indexed: 02/02/2025]
Abstract
Sensory rehabilitation in pediatric patients with traumatic spinal cord injury is challenging due to the ongoing development of their nervous systems. However, these sensory problems often result in nonuse of the impaired limb, which disturbs impaired limb rehabilitation and leads to overuse of the contralateral limb and other physical or psychological issues that may persist. Here, we introduce a soft nanomembrane sensor-enabled wearable glove system that wirelessly delivers a haptic sensation from the hand with tactile feedback responses for sensory impairment assistance. The smart glove system uses gold nanomembranes, copper-elastomer composites, and laser-induced graphene for the sensitive detection of pressure, temperature, and strain changes. The nanomaterial sensors are integrated with low-profile tactile actuators and wireless flexible electronics to offer real-time sensory feedback. The wearable system's thin-film sensors demonstrate 98% and 97% accuracy in detecting pressure and finger flexion, respectively, along with a detection coverage of real-life temperature changes as an effective rehabilitation tool. Collectively, the upper-limb sensory impairment assistance system embodies the latest in soft materials and wearable technology to incorporate soft sensors and miniaturized actuators and maximize its compatibility with human users, offering a promising solution for patient sensory rehabilitation.
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Affiliation(s)
- Tae Woog Kang
- Wearable
Intelligent Systems and Healthcare Center (WISH Center), Institute
for Matter and Systems, Georgia Institute
of Technology, Atlanta, Georgia 30332, United States
- George
W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Yoon Jae Lee
- Wearable
Intelligent Systems and Healthcare Center (WISH Center), Institute
for Matter and Systems, Georgia Institute
of Technology, Atlanta, Georgia 30332, United States
- School
of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Bruno Rigo
- Wearable
Intelligent Systems and Healthcare Center (WISH Center), Institute
for Matter and Systems, Georgia Institute
of Technology, Atlanta, Georgia 30332, United States
- School
of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Ira Soltis
- Wearable
Intelligent Systems and Healthcare Center (WISH Center), Institute
for Matter and Systems, Georgia Institute
of Technology, Atlanta, Georgia 30332, United States
- George
W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Jimin Lee
- Wearable
Intelligent Systems and Healthcare Center (WISH Center), Institute
for Matter and Systems, Georgia Institute
of Technology, Atlanta, Georgia 30332, United States
- George
W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Hodam Kim
- Wearable
Intelligent Systems and Healthcare Center (WISH Center), Institute
for Matter and Systems, Georgia Institute
of Technology, Atlanta, Georgia 30332, United States
- George
W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Gaorong Wang
- Wearable
Intelligent Systems and Healthcare Center (WISH Center), Institute
for Matter and Systems, Georgia Institute
of Technology, Atlanta, Georgia 30332, United States
- School
of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Nathan Zavanelli
- Wearable
Intelligent Systems and Healthcare Center (WISH Center), Institute
for Matter and Systems, Georgia Institute
of Technology, Atlanta, Georgia 30332, United States
- School
of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Eyas Ayesh
- Adaptive
Robotic Manipulation Laboratory, George W. Woodruff School of Mechanical
Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Wali Sohail
- Adaptive
Robotic Manipulation Laboratory, George W. Woodruff School of Mechanical
Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Houriyeh Majditehran
- Adaptive
Robotic Manipulation Laboratory, George W. Woodruff School of Mechanical
Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Scott H. Kozin
- Shriners
Hospital for Children, Philadelphia, Pennsylvania 19140, United States
| | - Frank L. Hammond
- George
W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
- Adaptive
Robotic Manipulation Laboratory, George W. Woodruff School of Mechanical
Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
- Wallace H.
Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, Georgia 30332, United States
| | - Woon-Hong Yeo
- Wearable
Intelligent Systems and Healthcare Center (WISH Center), Institute
for Matter and Systems, Georgia Institute
of Technology, Atlanta, Georgia 30332, United States
- George
W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
- Wallace H.
Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, Georgia 30332, United States
- Parker
H. Petit Institute for Bioengineering and Biosciences, Institute for
Robotics and Intelligent Machines, Georgia
Institute of Technology, Atlanta, Georgia 30332, United States
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2
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Suman S, Murr M, Crowe J, Holt S, Morris J, Yongky A, McElearney K, Bolton G. In-line prediction of viability and viable cell density through machine learning-based soft sensor modeling and an integrated systems approach: An industrially relevant PAT case study. Biotechnol Prog 2025:e3520. [PMID: 39846513 DOI: 10.1002/btpr.3520] [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: 08/09/2024] [Revised: 10/29/2024] [Accepted: 11/05/2024] [Indexed: 01/24/2025]
Abstract
The biopharmaceutical industry is shifting toward employing digital analytical tools for improved understanding of systems biology data and production of quality products. The implementation of these technologies can streamline the manufacturing process by enabling faster responses, reducing manual measurements, and building continuous and automated capabilities. This study discusses the use of soft sensor models for prediction of viability and viable cell density (VCD) in CHO cell culture processes by using in-line optical density and permittivity sensors. A significant innovation of this study is the development of a simplified empirical model and adoption of an integrated systems approach for in-line viability prediction. The initial evaluation of this viability model demonstrated promising accuracy with 96% of the residuals within a ±5% error limit and a Final Day mean absolute percentage error of ≤5% across various scales and process conditions. This model was integrated with a VCD prediction model utilizing Gaussian Process Regressor with Matern Kernel (nu = 0.5), selected from over a hundred advanced machine learning techniques. This VCD prediction model had an R2 of 0.92 with 89% predictions within ±10% error and significantly outperformed the commonly used partial least squares regression models. The results validated the use of these models for real-time in-line prediction of viability and VCD and highlighted the potential to substantially reduce reliance on labor-intensive discrete offline measurements. The integration of these innovative technologies aligns with regulatory guidelines and establishes a foundation for further advancements in the biomanufacturing industry, promising improved process control, efficiency, and compliance with quality standards.
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Affiliation(s)
| | | | | | | | | | - Andrew Yongky
- Alexion Pharmaceuticals, New Haven, Connecticut, USA
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Saliev T, Singh PB. From Bench to Bedside: Translating Cellular Rejuvenation Therapies into Clinical Applications. Cells 2024; 13:2052. [PMID: 39768144 PMCID: PMC11674796 DOI: 10.3390/cells13242052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2024] [Revised: 11/29/2024] [Accepted: 12/05/2024] [Indexed: 01/11/2025] Open
Abstract
Cellular rejuvenation therapies represent a transformative frontier in addressing age-related decline and extending human health span. By targeting fundamental hallmarks of aging-such as genomic instability, epigenetic alterations, mitochondrial dysfunction, and cellular senescence-these therapies aim to restore youthful functionality to cells and tissues, offering new hope for treating degenerative diseases. Recent advancements have showcased a range of strategies, including epigenetic reprogramming, senolytic interventions, mitochondrial restoration, stem cell-based approaches, and gene-editing technologies like CRISPR. Each modality has demonstrated substantial potential in preclinical models and is now being cautiously explored in early-stage clinical trials. However, translating these therapies from the laboratory to clinical practice presents unique challenges: safety concerns, delivery precision, complex regulatory requirements, ethical considerations, and high costs impede widespread adoption. This review examines the current landscape of cellular rejuvenation, highlighting key advancements, potential risks, and the strategies needed to overcome these hurdles.
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Affiliation(s)
- Timur Saliev
- S.D. Asfendiyarov Kazakh National Medical University, Tole Bi Street 94, Almaty 050000, Kazakhstan
| | - Prim B. Singh
- School of Medicine, Nazarbayev University, Astana 010000, Kazakhstan;
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Kakizuka T, Natsume T, Nagai T. Compact lens-free imager using a thin-film transistor for long-term quantitative monitoring of stem cell culture and cardiomyocyte production. LAB ON A CHIP 2024. [PMID: 39436381 DOI: 10.1039/d4lc00528g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2024]
Abstract
With advancements in human induced pluripotent stem cell (hiPSC) technology, there is an increasing demand for quality control techniques to manage the long-term process of target cell production effectively. While monitoring systems designed for use within incubators are promising for assessing culture quality, existing systems still face challenges in terms of compactness, throughput, and available metrics. To address these limitations, we have developed a compact and high-throughput lens-free imaging device named INSPCTOR. The device is as small as a standard culture plate, which allows for the installation of multiple units within an incubator. INSPCTOR utilises a large thin-film transistor image sensor, enabling simultaneous observation of six independent culture environments, each approximately 1 cm2. With this device, we successfully monitored the confluency of hiPSC cultures and identified the onset timing of epithelial-to-mesenchymal transition during mesodermal induction. Additionally, we quantified the beating frequency and conduction of hiPSC-derived cardiomyocytes by using high-speed imaging modes. This enabled us to identify the onset of spontaneous beating during differentiation and assess chronotropic responses in drug evaluations. Moreover, by tracking beating frequency over 10 days of cardiomyocyte maturation, we identified week-scale and daily-scale fluctuations, the latter of which correlated with cellular metabolic activity. The metrics derived from this device would enhance the reproducibility and quality of target cell production.
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Affiliation(s)
- Taishi Kakizuka
- SANKEN, The University of Osaka, Mihogaoka 8-1, Ibaraki, Osaka 567-0047, Japan.
- Transdimensional Life Imaging Division, Institute for Open and Transdisciplinary Research Initiatives, The University of Osaka, Yamadaoka 2-1, Suita, Osaka 565-0871, Japan
| | - Tohru Natsume
- Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology, 2-3-26 Aoumi, Koto-ku, Tokyo 135-0064, Japan
| | - Takeharu Nagai
- SANKEN, The University of Osaka, Mihogaoka 8-1, Ibaraki, Osaka 567-0047, Japan.
- Transdimensional Life Imaging Division, Institute for Open and Transdisciplinary Research Initiatives, The University of Osaka, Yamadaoka 2-1, Suita, Osaka 565-0871, Japan
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Luo Y, Song Y, Wang J, Xu T, Zhang X. Integrated Mini-Pillar Platform for Wireless Real-Time Cell Monitoring. RESEARCH (WASHINGTON, D.C.) 2024; 7:0422. [PMID: 39050822 PMCID: PMC11266812 DOI: 10.34133/research.0422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 06/11/2024] [Indexed: 07/27/2024]
Abstract
Cell culture as the cornerstone of biotechnology remains a labor-intensive process requiring continuous manual oversight and substantial time investment. In this work, we propose an integrated mini-pillar platform for in situ monitoring of multiple cellular metabolism processes, which achieves media anchoring and cell culture through an arrayed mini-pillar chip. The assembly of polyaniline (PANI)/dendritic gold-modified microelectrode biosensors exhibits high sensitivity (63.55 mV/pH) and excellent interference resistance, enabling real-time acquisition of biosensing signals. We successfully employed such integrated devices to real-time measuring pH variations in multiple cells and real-time monitoring of cell metabolism under drug interventions and to facilitate in situ assisted cultivation of 3-dimensional (3D) cell spheroids. This mini-pillar array-based cell culture platform exhibits excellent biosensing sensitivity and real-time monitoring capability, offering considerable potential for the advancement of biotechnology and medical drug development.
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Affiliation(s)
- Yong Luo
- Synthetic Biology Research Center, The Institute for Advanced Study (IAS),
Shenzhen University, Shenzhen, Guangdong 518060, P. R. China
- Beijing Key Laboratory for Bioengineering and Sensing Technology,
University of Science and Technology Beijing, Beijing 100083, P. R. China
| | - Yongchao Song
- Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles,
Qingdao University, Qingdao 266071, P. R. China
| | - Jing Wang
- Synthetic Biology Research Center, The Institute for Advanced Study (IAS),
Shenzhen University, Shenzhen, Guangdong 518060, P. R. China
| | - Tailin Xu
- Synthetic Biology Research Center, The Institute for Advanced Study (IAS),
Shenzhen University, Shenzhen, Guangdong 518060, P. R. China
- School of Biomedical Engineering,
Shenzhen UniversityHealth Science Center, Shenzhen University, Shenzhen, Guangdong 518060, P.R. China
| | - Xueji Zhang
- Synthetic Biology Research Center, The Institute for Advanced Study (IAS),
Shenzhen University, Shenzhen, Guangdong 518060, P. R. China
- School of Biomedical Engineering,
Shenzhen UniversityHealth Science Center, Shenzhen University, Shenzhen, Guangdong 518060, P.R. China
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Lee J, Soltis I, Tillery SA, Lee SH, Kim H, Yeo WH. Long-term stable pH sensor array with synergistic bilayer structure for 2D real-time mapping in cell culture monitoring. Biosens Bioelectron 2024; 254:116223. [PMID: 38518561 DOI: 10.1016/j.bios.2024.116223] [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: 11/12/2023] [Revised: 02/28/2024] [Accepted: 03/04/2024] [Indexed: 03/24/2024]
Abstract
Pursuing accurate, swift, and durable pH sensors is important across numerous fields, encompassing healthcare, environmental surveillance, and agriculture. In particular, the emphasis on real-time pH monitoring during cell cultivation has become increasingly pronounced in the current scientific environment-a crucial element being diligently researched to ensure optimal cell production. Both polyaniline (PANi) and iridium oxide (IrOx) show their worth in pH sensing, yet they come with challenges. Single-PANi-layered pH sensors often grapple with diminished sensitivity and lagging responses, while electrodeposited IrOx structures exhibit poor adhesion, leading to their separation from metallic substrates-a trait undesirable for a consistently stable, long-term pH sensor. This paper introduces a bi-layered PANi-IrOx pH sensor, strategically leveraging the advantages of both materials. The results presented here underscore the sensitivity enhancement of binary-phased framework, faster response time, and more robust structure than prior work. Through this synergistic strategy, we demonstrate the potential of integrating different phases to overcome the inherent constraints of individual materials, setting the stage for advanced pH-sensing solutions.
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Affiliation(s)
- Jimin Lee
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; IEN Center for Wearable Intelligent Systems and Healthcare at the Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Ira Soltis
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; IEN Center for Wearable Intelligent Systems and Healthcare at the Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Sayre A Tillery
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, 73019, USA
| | - Sung Hoon Lee
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Hodam Kim
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; IEN Center for Wearable Intelligent Systems and Healthcare at the Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Woon-Hong Yeo
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; IEN Center for Wearable Intelligent Systems and Healthcare at the Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, 30332, USA; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA, 30332, USA; Parker H. Petit Institute for Bioengineering and Biosciences, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
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Gome G, Chak B, Tawil S, Shpatz D, Giron J, Brajzblat I, Weizman C, Grishko A, Schlesinger S, Shoseyov O. Cultivation of Bovine Mesenchymal Stem Cells on Plant-Based Scaffolds in a Macrofluidic Single-Use Bioreactor for Cultured Meat. Foods 2024; 13:1361. [PMID: 38731732 PMCID: PMC11083346 DOI: 10.3390/foods13091361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 04/11/2024] [Accepted: 04/12/2024] [Indexed: 05/13/2024] Open
Abstract
Reducing production costs, known as scaling, is a significant obstacle in the advancement of cultivated meat. The cultivation process hinges on several key components, e.g., cells, media, scaffolds, and bioreactors. This study demonstrates an innovative approach, departing from traditional stainless steel or glass bioreactors, by integrating food-grade plant-based scaffolds and thermoplastic film bioreactors. While thermoplastic films are commonly used for constructing fluidic systems, conventional welding methods are cost-prohibitive and lack rapid prototyping capabilities, thus inflating research and development expenses. The developed laser welding technique facilitates contamination-free and leakproof sealing of polyethylene films, enabling the efficient fabrication of macrofluidic systems with various designs and dimensions. By incorporating food-grade plant-based scaffolds, such as rice seeded with bovine mesenchymal stem cells, into these bioreactors, this study demonstrates sterile cell proliferation on scaffolds within macrofluidic systems. This approach not only reduces bioreactor prototyping and construction costs but also addresses the need for scalable solutions in both research and industrial settings. Integrating single-use bioreactors with minimal shear forces and incorporating macro carriers such as puffed rice may further enhance biomass production in a scaled-out model. The use of food-grade plant-based scaffolds aligns with sustainable practices in tissue engineering and cultured-meat production, emphasizing its suitability for diverse applications.
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Affiliation(s)
- Gilad Gome
- Department of Plant Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel
- Sammy Ofer School of Communication, Reichman University, Herzliya 4610101, Israel; (J.G.); (I.B.); (C.W.); (A.G.)
| | - Benyamin Chak
- Department of Animal Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel (S.T.); (D.S.)
| | - Shadi Tawil
- Department of Animal Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel (S.T.); (D.S.)
| | - Dafna Shpatz
- Department of Animal Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel (S.T.); (D.S.)
| | - Jonathan Giron
- Sammy Ofer School of Communication, Reichman University, Herzliya 4610101, Israel; (J.G.); (I.B.); (C.W.); (A.G.)
| | - Ilan Brajzblat
- Sammy Ofer School of Communication, Reichman University, Herzliya 4610101, Israel; (J.G.); (I.B.); (C.W.); (A.G.)
- Department of Animal Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel (S.T.); (D.S.)
| | - Chen Weizman
- Sammy Ofer School of Communication, Reichman University, Herzliya 4610101, Israel; (J.G.); (I.B.); (C.W.); (A.G.)
| | - Andrey Grishko
- Sammy Ofer School of Communication, Reichman University, Herzliya 4610101, Israel; (J.G.); (I.B.); (C.W.); (A.G.)
| | - Sharon Schlesinger
- Department of Animal Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel (S.T.); (D.S.)
| | - Oded Shoseyov
- Department of Plant Sciences, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel
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Dvorak N, Liu Z, Mouthuy PA. Soft bioreactor systems: a necessary step toward engineered MSK soft tissue? Front Robot AI 2024; 11:1287446. [PMID: 38711813 PMCID: PMC11070535 DOI: 10.3389/frobt.2024.1287446] [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: 09/01/2023] [Accepted: 03/12/2024] [Indexed: 05/08/2024] Open
Abstract
A key objective of tissue engineering (TE) is to produce in vitro funcional grafts that can replace damaged tissues or organs in patients. TE uses bioreactors, which are controlled environments, allowing the application of physical and biochemical cues to relevant cells growing in biomaterials. For soft musculoskeletal (MSK) tissues such as tendons, ligaments and cartilage, it is now well established that applied mechanical stresses can be incorporated into those bioreactor systems to support tissue growth and maturation via activation of mechanotransduction pathways. However, mechanical stresses applied in the laboratory are often oversimplified compared to those found physiologically and may be a factor in the slow progression of engineered MSK grafts towards the clinic. In recent years, an increasing number of studies have focused on the application of complex loading conditions, applying stresses of different types and direction on tissue constructs, in order to better mimic the cellular environment experienced in vivo. Such studies have highlighted the need to improve upon traditional rigid bioreactors, which are often limited to uniaxial loading, to apply physiologically relevant multiaxial stresses and elucidate their influence on tissue maturation. To address this need, soft bioreactors have emerged. They employ one or more soft components, such as flexible soft chambers that can twist and bend with actuation, soft compliant actuators that can bend with the construct, and soft sensors which record measurements in situ. This review examines types of traditional rigid bioreactors and their shortcomings, and highlights recent advances of soft bioreactors in MSK TE. Challenges and future applications of such systems are discussed, drawing attention to the exciting prospect of these platforms and their ability to aid development of functional soft tissue engineered grafts.
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Affiliation(s)
| | | | - Pierre-Alexis Mouthuy
- Botnar Institute of Musculoskeletal Sciences, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom
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