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Ismayilzada N, Tarar C, Dabbagh SR, Tokyay BK, Dilmani SA, Sokullu E, Abaci HE, Tasoglu S. Skin-on-a-chip technologies towards clinical translation and commercialization. Biofabrication 2024; 16:042001. [PMID: 38964314 DOI: 10.1088/1758-5090/ad5f55] [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: 09/19/2023] [Accepted: 07/04/2024] [Indexed: 07/06/2024]
Abstract
Skin is the largest organ of the human body which plays a critical role in thermoregulation, metabolism (e.g. synthesis of vitamin D), and protection of other organs from environmental threats, such as infections, microorganisms, ultraviolet radiation, and physical damage. Even though skin diseases are considered to be less fatal, the ubiquity of skin diseases and irritation caused by them highlights the importance of skin studies. Furthermore, skin is a promising means for transdermal drug delivery, which requires a thorough understanding of human skin structure. Current animal andin vitrotwo/three-dimensional skin models provide a platform for disease studies and drug testing, whereas they face challenges in the complete recapitulation of the dynamic and complex structure of actual skin tissue. One of the most effective methods for testing pharmaceuticals and modeling skin diseases are skin-on-a-chip (SoC) platforms. SoC technologies provide a non-invasive approach for examining 3D skin layers and artificially creating disease models in order to develop diagnostic or therapeutic methods. In addition, SoC models enable dynamic perfusion of culture medium with nutrients and facilitate the continuous removal of cellular waste to further mimic thein vivocondition. Here, the article reviews the most recent advances in the design and applications of SoC platforms for disease modeling as well as the analysis of drugs and cosmetics. By examining the contributions of different patents to the physiological relevance of skin models, the review underscores the significant shift towards more ethical and efficient alternatives to animal testing. Furthermore, it explores the market dynamics ofin vitroskin models and organ-on-a-chip platforms, discussing the impact of legislative changes and market demand on the development and adoption of these advanced research tools. This article also identifies the existing obstacles that hinder the advancement of SoC platforms, proposing directions for future improvements, particularly focusing on the journey towards clinical adoption.
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Affiliation(s)
- Nilufar Ismayilzada
- Department of Mechanical Engineering, Koç University, Istanbul 34450, Turkey
| | - Ceren Tarar
- Department of Mechanical Engineering, Koç University, Istanbul 34450, Turkey
| | | | - Begüm Kübra Tokyay
- Koç University Research Center for Translational Medicine, Koç University, Istanbul 34450, Turkey
| | - Sara Asghari Dilmani
- Koç University Research Center for Translational Medicine, Koç University, Istanbul 34450, Turkey
| | - Emel Sokullu
- School of Medicine, Koç University, Istanbul 34450, Turkey
| | - Hasan Erbil Abaci
- Department of Dermatology, Columbia University, New York City, NY, United States of America
| | - Savas Tasoglu
- Department of Mechanical Engineering, Koç University, Istanbul 34450, Turkey
- Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul 34684, Turkey
- Koç University Research Center for Translational Medicine, Koç University, Istanbul 34450, Turkey
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Istanbul 34450, Turkey
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Gagné V, Boucher N, Desgagné-Penix I. Cannabis Roots: Therapeutic, Biotechnological and Environmental Aspects. Cannabis Cannabinoid Res 2024; 9:35-48. [PMID: 38252502 DOI: 10.1089/can.2023.0168] [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] [Indexed: 01/24/2024] Open
Abstract
Since the legalization of recreational cannabis in Canada in 2018, the number of licenses for this crop has increased significantly, resulting in an increase in waste generated. Nevertheless, cannabis roots were once used for their therapeutic properties, indicating that they could be valued today rather than dismissed. This review will focus on both traditional therapeutic aspects and potential use of roots in modern medicine while detailing the main studies on active phytomolecules found in cannabis roots. The environmental impact of cannabis cultivation and current knowledge of the root-associated microbiome are also presented as well as their potential applications in biotechnology and phytoremediation. Thus, several high added-value applications of cannabis roots resulting from scientific advances in recent years can be considered to remove them from discarded residues.
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Affiliation(s)
- Valérie Gagné
- Department of Chemistry, Biochemistry and Physics, University of Québec at Trois-Rivières, Trois- Rivières, Québec, Canada
| | - Nathalie Boucher
- Department of Chemistry, Biochemistry and Physics, University of Québec at Trois-Rivières, Trois- Rivières, Québec, Canada
- Plant Biology Research Group, Trois-Rivières, Québec, Canada
| | - Isabel Desgagné-Penix
- Department of Chemistry, Biochemistry and Physics, University of Québec at Trois-Rivières, Trois- Rivières, Québec, Canada
- Plant Biology Research Group, Trois-Rivières, Québec, Canada
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Halwes M, Stamp M, Collins DJ. A Rapid Prototyping Approach for Multi-Material, Reversibly Sealed Microfluidics. MICROMACHINES 2023; 14:2213. [PMID: 38138382 PMCID: PMC10745384 DOI: 10.3390/mi14122213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 11/30/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023]
Abstract
Microfluidic organ-on-chip models recapitulate increasingly complex physiological phenomena to study tissue development and disease mechanisms, where there is a growing interest in retrieving delicate biological structures from these devices for downstream analysis. Standard bonding techniques, however, often utilize irreversible sealing, making sample retrieval unfeasible or necessitating destructive methods for disassembly. To address this, several commercial devices employ reversible sealing techniques, though integrating these techniques into early-stage prototyping workflows is often ignored because of the variation and complexity of microfluidic designs. Here, we demonstrate the concerted use of rapid prototyping techniques, including 3D printing and laser cutting, to produce multi-material microfluidic devices that can be reversibly sealed. This is enhanced via the incorporation of acrylic components directly into polydimethylsiloxane channel layers to enhance stability, sealing, and handling. These acrylic components act as a rigid surface separating the multiple mechanical seals created between the bottom substrate, the microfluidic features in the device, and the fluidic interconnect to external tubing, allowing for greater design flexibility. We demonstrate that these devices can be produced reproducibly outside of a cleanroom environment and that they can withstand ~1 bar pressures that are appropriate for a wide range of biological applications. By presenting an accessible and low-cost method, we hope to enable microfluidic prototyping for a broad range of biomedical research applications.
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Affiliation(s)
- Michael Halwes
- Department of Biomedical Engineering, University of Melbourne, Melbourne 3010, Australia; (M.H.); (M.S.)
- Graeme Clark Institute for Biomedical Engineering, University of Melbourne, Melbourne 3010, Australia
| | - Melanie Stamp
- Department of Biomedical Engineering, University of Melbourne, Melbourne 3010, Australia; (M.H.); (M.S.)
- Graeme Clark Institute for Biomedical Engineering, University of Melbourne, Melbourne 3010, Australia
| | - David J. Collins
- Department of Biomedical Engineering, University of Melbourne, Melbourne 3010, Australia; (M.H.); (M.S.)
- Graeme Clark Institute for Biomedical Engineering, University of Melbourne, Melbourne 3010, Australia
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Abstract
Microrobots have attracted the attention of scientists owing to their unique features to accomplish tasks in hard-to-reach sites in the human body. Microrobots can be precisely actuated and maneuvered individually or in a swarm for cargo delivery, sampling, surgery, and imaging applications. In addition, microrobots have found applications in the environmental sector (e.g., water treatment). Besides, recent advancements of three-dimensional (3D) printers have enabled the high-resolution fabrication of microrobots with a faster design-production turnaround time for users with limited micromanufacturing skills. Here, the latest end applications of 3D printed microrobots are reviewed (ranging from environmental to biomedical applications) along with a brief discussion over the feasible actuation methods (e.g., on- and off-board), and practical 3D printing technologies for microrobot fabrication. In addition, as a future perspective, we discussed the potential advantages of integration of microrobots with smart materials, and conceivable benefits of implementation of artificial intelligence (AI), as well as physical intelligence (PI). Moreover, in order to facilitate bench-to-bedside translation of microrobots, current challenges impeding clinical translation of microrobots are elaborated, including entry obstacles (e.g., immune system attacks) and cumbersome standard test procedures to ensure biocompatibility. Microbots have attracted attention due to an ability to reach places and perform tasks which are not possible with conventional techniques in a wide range of applications. Here, the authors review the recent work in the field on the fabrication, application and actuation of 3D printed microbots offering a view of the direction of future microbot research.
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Sarabi MR, Yigci D, Alseed MM, Mathyk BA, Ata B, Halicigil C, Tasoglu S. Disposable Paper-Based Microfluidics for Fertility Testing. iScience 2022; 25:104986. [PMID: 36105592 PMCID: PMC9465368 DOI: 10.1016/j.isci.2022.104986] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Fifteen percent of couples of reproductive age suffer from infertility globally and the burden of infertility disproportionately impacts residents of developing countries. Assisted reproductive technologies (ARTs), including in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI), have been successful in overcoming various reasons for infertility including borderline and severe male factor infertility which consists of 20%–30% of all infertile cases. Approximately half of male infertility cases stem from suboptimal sperm parameters. Therefore, healthy/normal sperm enrichment and sorting remains crucial in advancing reproductive medicine. Microfluidic technologies have emerged as promising tools to develop in-home rapid fertility tests and point-of-care (POC) diagnostic tools. Here, we review advancements in fabrication methods for paper-based microfluidic devices and their emerging fertility testing applications assessing sperm concentration, sperm motility, sperm DNA analysis, and other sperm functionalities, and provide a glimpse into future directions for paper-based fertility microfluidic systems. Paper-based technologies are emerging to develop in-home rapid fertility tests Fabrication methods for paper-based microfluidic devices are presented Emerging disposable paper-based fertility testing applications are reviewed
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Affiliation(s)
| | - Defne Yigci
- School of Medicine, Koç University, Istanbul, Türkiye 34450
| | - M. Munzer Alseed
- Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Türkiye 34684
| | - Begum Aydogan Mathyk
- Department of Obstetrics and Gynecology, HCA Healthcare, University of South Florida Morsani College of Medicine GME, Brandon Regional Hospital, Florida 33511, USA
| | - Baris Ata
- School of Medicine, Koç University, Istanbul, Türkiye 34450
- ART Fertility Clinics, Dubai, United Arab Emirates 337-1500
| | - Cihan Halicigil
- Yale School of Medicine, Yale University, Connecticut 06520, USA
| | - Savas Tasoglu
- School of Mechanical Engineering, Koç University, Istanbul, Türkiye 34450
- Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Türkiye 34684
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul, Türkiye 34450
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Istanbul, Türkiye 34450
- Koç University Is Bank Artificial Intelligence Lab (KUIS AI Lab), Koç University, Istanbul, Türkiye 34450
- Corresponding author
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Abstract
Drug testing, either on animals or on 2D cell cultures, has its limitations due to inaccurate mimicking of human pathophysiology. The liver, as one of the key organs that filters and detoxifies the blood, is susceptible to drug-induced injuries. Integrating 3D bioprinting with microfluidic chips to fabricate organ-on-chip platforms for 3D liver cell cultures with continuous perfusion can offer a more physiologically relevant liver-mimetic platform for screening drugs and studying liver function. The development of organ-on-chip platforms may ultimately contribute to personalized medicine as well as body-on-chip technology that can test drug responses and organ–organ interactions on a single or linked chip model.
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Rabbi F, Dabbagh SR, Angin P, Yetisen AK, Tasoglu S. Deep Learning-Enabled Technologies for Bioimage Analysis. MICROMACHINES 2022; 13:mi13020260. [PMID: 35208385 PMCID: PMC8880650 DOI: 10.3390/mi13020260] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 01/31/2022] [Accepted: 02/03/2022] [Indexed: 02/05/2023]
Abstract
Deep learning (DL) is a subfield of machine learning (ML), which has recently demonstrated its potency to significantly improve the quantification and classification workflows in biomedical and clinical applications. Among the end applications profoundly benefitting from DL, cellular morphology quantification is one of the pioneers. Here, we first briefly explain fundamental concepts in DL and then we review some of the emerging DL-enabled applications in cell morphology quantification in the fields of embryology, point-of-care ovulation testing, as a predictive tool for fetal heart pregnancy, cancer diagnostics via classification of cancer histology images, autosomal polycystic kidney disease, and chronic kidney diseases.
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Affiliation(s)
- Fazle Rabbi
- Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkey; (F.R.); (S.R.D.)
| | - Sajjad Rahmani Dabbagh
- Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkey; (F.R.); (S.R.D.)
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Sariyer, Istanbul 34450, Turkey
- Koc University Is Bank Artificial Intelligence Lab (KUIS AILab), Koç University, Sariyer, Istanbul 34450, Turkey
| | - Pelin Angin
- Department of Computer Engineering, Middle East Technical University, Ankara 06800, Turkey;
| | - Ali Kemal Yetisen
- Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK;
| | - Savas Tasoglu
- Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkey; (F.R.); (S.R.D.)
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Sariyer, Istanbul 34450, Turkey
- Koc University Is Bank Artificial Intelligence Lab (KUIS AILab), Koç University, Sariyer, Istanbul 34450, Turkey
- Institute of Biomedical Engineering, Boğaziçi University, Çengelköy, Istanbul 34684, Turkey
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany
- Correspondence:
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Abstract
Regular health monitoring can result in early detection of disease, accelerate the delivery of medical care and, therefore, considerably improve patient outcomes for countless medical conditions that affect public health. A substantial unmet need remains for technologies that can transform the status quo of reactive health care to preventive, evidence-based, person-centred care. With this goal in mind, platforms that can be easily integrated into people's daily lives and identify a range of biomarkers for health and disease are desirable. However, urine - a biological fluid that is produced in large volumes every day and can be obtained with zero pain, without affecting the daily routine of individuals, and has the most biologically rich content - is discarded into sewers on a regular basis without being processed or monitored. Toilet-based health-monitoring tools in the form of smart toilets could offer preventive home-based continuous health monitoring for early diagnosis of diseases while being connected to data servers (using the Internet of Things) to enable collection of the health status of users. In addition, machine learning methods can assist clinicians to classify, quantify and interpret collected data more rapidly and accurately than they were able to previously. Meanwhile, challenges associated with user acceptance, privacy and test frequency optimization should be considered to facilitate the acceptance of smart toilets in society.
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Affiliation(s)
- Savas Tasoglu
- Department of Mechanical Engineering, Koc University, Istanbul, Turkey. .,Koç University Translational Medicine Research Center (KUTTAM), Koç University, Sarıyer, Istanbul, Turkey. .,Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Çengelköy, Istanbul, Turkey. .,Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany.
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Hasandka A, Singh AR, Prabhu A, Singhal HR, Nandagopal MSG, Mani NK. Paper and thread as media for the frugal detection of urinary tract infections (UTIs). Anal Bioanal Chem 2022; 414:847-865. [PMID: 34668042 PMCID: PMC8724062 DOI: 10.1007/s00216-021-03671-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 09/02/2021] [Accepted: 09/15/2021] [Indexed: 12/22/2022]
Abstract
Urinary tract infections (UTIs) make up a significant proportion of the global burden of disease in vulnerable groups and tend to substantially impair the quality of life of those affected, making timely detection of UTIs a priority for public health. However, economic and societal barriers drastically reduce accessibility of traditional lab-based testing methods for critical patient groups in low-resource areas, negatively affecting their overall healthcare outcomes. As a result, cellulose-based materials such as paper and thread have garnered significant interest among researchers as substrates for so-called frugal analytical devices which leverage the material's portability and adaptability for facile and reproducible diagnoses of UTIs. Although the field may be only in its infancy, strategies aimed at commercial penetration can appreciably increase access to more healthcare options for at-risk people. In this review, we catalogue recent advances in devices that use cellulose-based materials as the primary housing or medium for UTI detection and chart out trends in the field. We also explore different modalities employed for detection, with particular emphasis on their ability to be ported onto discreet casings such as sanitary products.
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Affiliation(s)
- Amrutha Hasandka
- Microfluidics, Sensors and Diagnostics Laboratory (μSenD), Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Ankita Ramchandran Singh
- Microfluidics, Sensors and Diagnostics Laboratory (μSenD), Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Anusha Prabhu
- Microfluidics, Sensors and Diagnostics Laboratory (μSenD), Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Hardik Ramesh Singhal
- Department of Chemical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - M S Giri Nandagopal
- Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur, Kharagpur, 721302, India
| | - Naresh Kumar Mani
- Microfluidics, Sensors and Diagnostics Laboratory (μSenD), Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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Dabbagh SR, Alseed MM, Saadat M, Sitti M, Tasoglu S. Biomedical Applications of Magnetic Levitation. ADVANCED NANOBIOMED RESEARCH 2021. [DOI: 10.1002/anbr.202100103] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Affiliation(s)
- Sajjad Rahmani Dabbagh
- Department of Mechanical Engineering Koç University Sariyer Istanbul Turkey 34450
- Koç University Arçelik Research Center for Creative Industries (KUAR) Koç University Sariyer Istanbul Turkey 34450
| | - M. Munzer Alseed
- Institute of Biomedical Engineering Boğaziçi University Çengelköy Istanbul Turkey 34684
| | - Milad Saadat
- Department of Mechanical Engineering Koç University Sariyer Istanbul Turkey 34450
| | - Metin Sitti
- Department of Mechanical Engineering Koç University Sariyer Istanbul Turkey 34450
- School of Medicine Koç University Istanbul 34450 Turkey
- Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569 Stuttgart Germany
| | - Savas Tasoglu
- Department of Mechanical Engineering Koç University Sariyer Istanbul Turkey 34450
- Koç University Arçelik Research Center for Creative Industries (KUAR) Koç University Sariyer Istanbul Turkey 34450
- Institute of Biomedical Engineering Boğaziçi University Çengelköy Istanbul Turkey 34684
- Physical Intelligence Department Max Planck Institute for Intelligent Systems 70569 Stuttgart Germany
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Ustun M, Rahmani Dabbagh S, Ilci IS, Bagci-Onder T, Tasoglu S. Glioma-on-a-Chip Models. MICROMACHINES 2021; 12:490. [PMID: 33926127 PMCID: PMC8145995 DOI: 10.3390/mi12050490] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/22/2021] [Accepted: 04/23/2021] [Indexed: 12/16/2022]
Abstract
Glioma, as an aggressive type of cancer, accounts for virtually 80% of malignant brain tumors. Despite advances in therapeutic approaches, the long-term survival of glioma patients is poor (it is usually fatal within 12-14 months). Glioma-on-chip platforms, with continuous perfusion, mimic in vivo metabolic functions of cancer cells for analytical purposes. This offers an unprecedented opportunity for understanding the underlying reasons that arise glioma, determining the most effective radiotherapy approach, testing different drug combinations, and screening conceivable side effects of drugs on other organs. Glioma-on-chip technologies can ultimately enhance the efficacy of treatments, promote the survival rate of patients, and pave a path for personalized medicine. In this perspective paper, we briefly review the latest developments of glioma-on-chip technologies, such as therapy applications, drug screening, and cell behavior studies, and discuss the current challenges as well as future research directions in this field.
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Affiliation(s)
- Merve Ustun
- Graduate School of Sciences and Engineering, Koc University, Sariyer, 34450 Istanbul, Turkey;
| | - Sajjad Rahmani Dabbagh
- Department of Mechanical Engineering, Koç University, Sariyer, 34450 Istanbul, Turkey;
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Sariyer, 34450 Istanbul, Turkey
| | - Irem Sultan Ilci
- Department of Bioengineering, Yildiz Technical University, 34220 Istanbul, Turkey;
| | - Tugba Bagci-Onder
- Brain Cancer Research and Therapy Lab, Koç University School of Medicine, 34450 Istanbul, Turkey;
- Koç University Research Center for Translational Medicine, Koç University, Sariyer, 34450 Istanbul, Turkey
| | - Savas Tasoglu
- Department of Mechanical Engineering, Koç University, Sariyer, 34450 Istanbul, Turkey;
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Sariyer, 34450 Istanbul, Turkey
- Koç University Research Center for Translational Medicine, Koç University, Sariyer, 34450 Istanbul, Turkey
- Center for Life Sciences and Technologies, Bogazici University, Bebek, 34342 Istanbul, Turkey
- Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Çengelköy, 34684 Istanbul, Turkey
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