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Rahimnejad M, Makkar H, Dal-Fabbro R, Malda J, Sriram G, Bottino MC. Biofabrication Strategies for Oral Soft Tissue Regeneration. Adv Healthc Mater 2024; 13:e2304537. [PMID: 38529835 PMCID: PMC11254569 DOI: 10.1002/adhm.202304537] [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: 12/19/2023] [Revised: 03/01/2024] [Indexed: 03/27/2024]
Abstract
Gingival recession, a prevalent condition affecting the gum tissues, is characterized by the exposure of tooth root surfaces due to the displacement of the gingival margin. This review explores conventional treatments, highlighting their limitations and the quest for innovative alternatives. Importantly, it emphasizes the critical considerations in gingival tissue engineering leveraging on cells, biomaterials, and signaling factors. Successful tissue-engineered gingival constructs hinge on strategic choices such as cell sources, scaffold design, mechanical properties, and growth factor delivery. Unveiling advancements in recent biofabrication technologies like 3D bioprinting, electrospinning, and microfluidic organ-on-chip systems, this review elucidates their precise control over cell arrangement, biomaterials, and signaling cues. These technologies empower the recapitulation of microphysiological features, enabling the development of gingival constructs that closely emulate the anatomical, physiological, and functional characteristics of native gingival tissues. The review explores diverse engineering strategies aiming at the biofabrication of realistic tissue-engineered gingival grafts. Further, the parallels between the skin and gingival tissues are highlighted, exploring the potential transfer of biofabrication approaches from skin tissue regeneration to gingival tissue engineering. To conclude, the exploration of innovative biofabrication technologies for gingival tissues and inspiration drawn from skin tissue engineering look forward to a transformative era in regenerative dentistry with improved clinical outcomes.
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Affiliation(s)
- Maedeh Rahimnejad
- Department of Cariology, Restorative Sciences, and Endodontics, School of Dentistry, University of Michigan, Ann Arbor, MI, USA
| | - Hardik Makkar
- Faculty of Dentistry, National University of Singapore, Singapore
| | - Renan Dal-Fabbro
- Department of Cariology, Restorative Sciences, and Endodontics, School of Dentistry, University of Michigan, Ann Arbor, MI, USA
| | - Jos Malda
- Regenerative Medicine Center Utrecht, Utrecht, The Netherlands
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
- Department of Orthopedics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gopu Sriram
- Faculty of Dentistry, National University of Singapore, Singapore
- NUS Centre for Additive Manufacturing (AM.NUS), National University of Singapore, Singapore
- Department of Biomedical Engineering, National University of Singapore, Singapore
| | - Marco C. Bottino
- Department of Cariology, Restorative Sciences, and Endodontics, School of Dentistry, University of Michigan, Ann Arbor, MI, USA
- Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, MI, USA
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Werner MP, Kučikas V, Voß K, Abel D, Jockenhoevel S, van Zandvoort MAMJ, Schmitz-Rode T. Multiphoton Imaging of Maturation in Tissue Engineering. Tissue Eng Part C Methods 2024; 30:38-48. [PMID: 38115629 DOI: 10.1089/ten.tec.2023.0141] [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: 12/21/2023] Open
Abstract
Donor cell-specific tissue-engineered (TE) implants are a promising therapy for personalized treatment of cardiovascular diseases, but current development protocols lack a stable longitudinal assessment of tissue development at subcellular resolution. As a first step toward such an assessment approach, in this study we establish a generalized labeling and imaging protocol to obtain quantified maturation parameters of TE constructs in three dimensions (3D) without the need of histological slicing, thus leaving the tissue intact. Focusing on intracellular matrix (ICM) and extracellular matrix (ECM) networks, multiphoton laser scanning microscopy (MPLSM) was used to investigate TE patches of different conditioning durations of up to 21 days. We show here that with a straightforward labeling procedure of whole-mount samples (so without slicing into thin histological sections), followed by an easy-to-use multiphoton imaging process, we obtained high-quality images of the tissue in 3D at various time points during development. The stacks of images could then be further analyzed to visualize and quantify the volume of cell coverage as well as the volume fraction and network of structural proteins. We showed that collagen and alpha-smooth muscle actin (α-SMA) volume fractions increased as normalized to full tissue volume and proportional to the cell count, with a converging trend to the final density of (4.0% ± 0.6%) and (7.6% ± 0.7%), respectively. The image analysis of ICM and ECM revealed a developing and widely branched interconnected matrix. We are currently working on the second step, that is, to integrate MPLSM endoscopy into a dynamic bioreactor system to monitor the maturation of intact TE constructs over time, thus without the need to take them out.
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Affiliation(s)
- Maximilian P Werner
- Department of Biohybrid & Medical Textiles (BioTex), Institute of Applied Medical Engineering (AME), Helmholtz Institute, RWTH Aachen University, Aachen, Germany
- Aachen-Maastricht-Institute for Biobased Materials (AMIBM), Maastricht University, Geleen, The Netherlands
| | - Vytautas Kučikas
- Institute of Molecular Cardiovascular Research (IMCAR), RWTH Aachen University, Aachen, Germany
| | - Kirsten Voß
- Institute of Automatic Control (IRT), RWTH Aachen University, Aachen, Germany
| | - Dirk Abel
- Institute of Automatic Control (IRT), RWTH Aachen University, Aachen, Germany
| | - Stefan Jockenhoevel
- Department of Biohybrid & Medical Textiles (BioTex), Institute of Applied Medical Engineering (AME), Helmholtz Institute, RWTH Aachen University, Aachen, Germany
- Aachen-Maastricht-Institute for Biobased Materials (AMIBM), Maastricht University, Geleen, The Netherlands
| | - Marc A M J van Zandvoort
- Institute of Molecular Cardiovascular Research (IMCAR), RWTH Aachen University, Aachen, Germany
- Department of Genetics and Cell Biology, Cardiovascular Research Institute Maastricht (CARIM), School for Oncology and Developmental Biology (GROW), Maastricht, The Netherlands
| | - Thomas Schmitz-Rode
- Department of Biohybrid & Medical Textiles (BioTex), Institute of Applied Medical Engineering (AME), Helmholtz Institute, RWTH Aachen University, Aachen, Germany
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Wang Y, Wang P, Li C. Fluorescence microscopic platforms imaging mitochondrial abnormalities in neurodegenerative diseases. Adv Drug Deliv Rev 2023; 197:114841. [PMID: 37088402 DOI: 10.1016/j.addr.2023.114841] [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: 01/07/2023] [Revised: 04/10/2023] [Accepted: 04/18/2023] [Indexed: 04/25/2023]
Abstract
Neurodegenerative diseases (NDs) are progressive disorders that cause the degeneration of neurons. Mitochondrial dysfunction is a common symptom in NDs and plays a crucial role in neuronal loss. Mitochondrial abnormalities can be observed in the early stages of NDs and evolve throughout disease progression. Visualizing mitochondrial abnormalities can help understand ND progression and develop new therapeutic strategies. Fluorescence microscopy is a powerful tool for dynamically imaging mitochondria due to its high sensitivity and spatiotemporal resolution. This review discusses the relationship between mitochondrial dysfunction and ND progression, potential biomarkers for imaging dysfunctional mitochondria, advances in fluorescence microscopy for detecting organelles, the performance of fluorescence probes in visualizing ND-associated mitochondria, and the challenges and opportunities for developing new generations of fluorescence imaging platforms for monitoring mitochondria in NDs.
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Affiliation(s)
- Yicheng Wang
- Key Laboratory of Smart Drug Delivery, Ministry of Education, School of Pharmacy; Zhongshan Hospital, Fudan University, Shanghai, China
| | - Pengwei Wang
- Key Laboratory of Smart Drug Delivery, Ministry of Education, School of Pharmacy; Zhongshan Hospital, Fudan University, Shanghai, China
| | - Cong Li
- Key Laboratory of Smart Drug Delivery, Ministry of Education, School of Pharmacy; Zhongshan Hospital, Fudan University, Shanghai, China; State Key Laboratory of Medical Neurobiology, Fudan University Shanghai 201203, China.
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Mitra E, Guo R, Nelson S, Nagarajan N, Menon R. Computational microscopy for fast widefield deep-tissue fluorescence imaging using a commercial dual-cannula probe. OPTICS CONTINUUM 2022; 1:2091-2099. [PMID: 37378086 PMCID: PMC10299805 DOI: 10.1364/optcon.469219] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/25/2022] [Indexed: 06/29/2023]
Abstract
A solid-glass cannula serves as a micro-endoscope that can deliver excitation light deep inside tissue while also collecting emitted fluorescence. Then, we utilize deep neural networks to reconstruct images from the collected intensity distributions. By using a commercially available dual-cannula probe, and training a separate deep neural network for each cannula, we effectively double the field of view compared to prior work. We demonstrated ex vivo imaging of fluorescent beads and brain slices and in vivo imaging from whole brains. We clearly resolved 4 μm beads, with FOV from each cannula of 0.2 mm (diameter), and produced images from a depth of ~1.2 mm in the whole brain, currently limited primarily by the labeling. Since no scanning is required, fast widefield fluorescence imaging limited primarily by the brightness of the fluorophores, collection efficiency of our system, and the frame rate of the camera becomes possible.
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Affiliation(s)
- Ekata Mitra
- Department of Electrical & Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Ruipeng Guo
- Department of Electrical & Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA
| | - Soren Nelson
- Department of Computer Science, Boston University, Boston, MA 02215, USA
| | - Naveen Nagarajan
- Department of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA
| | - Rajesh Menon
- Department of Electrical & Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA
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