1
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Han D, Yang M, Feng Z, Wu Y, Sojic N, Jiang D. Thickness-Resolved Electrochemiluminescence Microscopy of Extracellular Matrix at Tumor Tissues for Rapid Cancer Diagnosis. ACS APPLIED MATERIALS & INTERFACES 2024; 16:32078-32086. [PMID: 38865735 DOI: 10.1021/acsami.4c05735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2024]
Abstract
The traditional recognition of extracellular matrix (ECM) at tissue sections relies on the time-consuming immunofluorescence that could not meet the demand of rapid diagnosis. Herein, we introduce a thickness-resolved electrochemiluminescence (ECL) microscopy to image thin-layer ECM at tissue sections for fast histopathological analysis. The unique surface-confined ECL mechanism enables to unveil the diversity and complexity of multiple tissue structures with varying thicknesses. Notably, the short lifetimes and the limited diffusion of electrogenerated coreactant radicals combined with their chemical reactivity result in a 2-fold increase in ECL intensity on ECM structures compared to the remaining tissue, enabling ECM visualization without specific labeling. The further quantitation of the ECM localization within tissue sections furnishes crucial insights into tumor progression and, more importantly, differentiates carcinoma and paracancerous tissues from patients in less than 30 min. Moreover, the reported electrochemistry-based microscopy is a dynamic approach allowing to investigate the transport, tortuosity, and trafficking properties through the tissues. This thickness-resolved recognition strategy not only opens new avenues for imaging complex samples but also holds promise for expediting tissue pathologic diagnosis, offering a more automated protocol with enhanced quantitative data compared to current intraoperative pathology methods.
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Affiliation(s)
- Dongni Han
- State Key Laboratory of Analytical Chemistry for Life Science and School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, China
| | - Mi Yang
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School and Clinical Cancer Institute of Nanjing University, Nanjing 210008, China
| | - Zengyu Feng
- Department of General Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China
| | - Yulian Wu
- Department of General Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China
| | - Neso Sojic
- Institute des Sciences Moléculaires, UMR 5255, 16 avenue Pey-Berland, University of Bordeaux, Pessac 33607, France
| | - Dechen Jiang
- State Key Laboratory of Analytical Chemistry for Life Science and School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, China
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2
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Wang Q, Yang Y, Chen Z, Li B, Niu Y, Li X. Lymph Node-on-Chip Technology: Cutting-Edge Advances in Immune Microenvironment Simulation. Pharmaceutics 2024; 16:666. [PMID: 38794327 PMCID: PMC11124897 DOI: 10.3390/pharmaceutics16050666] [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: 03/25/2024] [Revised: 05/09/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024] Open
Abstract
Organ-on-a-chip technology is attracting growing interest across various domains as a crucial platform for drug screening and testing and is set to play a significant role in precision medicine research. Lymph nodes, being intricately structured organs essential for the body's adaptive immune responses to antigens and foreign particles, are pivotal in assessing the immunotoxicity of novel pharmaceuticals. Significant progress has been made in research on the structure and function of the lymphatic system. However, there is still an urgent need to develop prospective tools and techniques to delve deeper into its role in various diseases' pathological and physiological processes and to develop corresponding immunotherapeutic therapies. Organ chips can accurately reproduce the specific functional areas in lymph nodes to better simulate the complex microstructure of lymph nodes and the interactions between different immune cells, which is convenient for studying specific biological processes. This paper reviews existing lymph node chips and their design approaches. It discusses the applications of the above systems in modeling immune cell motility, cell-cell interactions, vaccine responses, drug testing, and cancer research. Finally, we summarize the challenges that current research faces in terms of structure, cell source, and extracellular matrix simulation of lymph nodes, and we provide an outlook on the future direction of integrated immune system chips.
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Affiliation(s)
| | | | | | | | | | - Xiaoqiong Li
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China; (Q.W.); (Y.Y.); (Z.C.); (B.L.); (Y.N.)
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3
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Ovari I, Viczjan G, Erdei T, Takacs B, Tarjanyi V, Zsuga J, Szucs M, Szilvassy Z, Juhasz B, Gesztelyi R. The influence of the way of regression on the results obtained by the receptorial responsiveness method (RRM), a procedure to estimate a change in the concentration of a pharmacological agonist near the receptor. Front Pharmacol 2024; 15:1375955. [PMID: 38756379 PMCID: PMC11096549 DOI: 10.3389/fphar.2024.1375955] [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: 01/24/2024] [Accepted: 04/11/2024] [Indexed: 05/18/2024] Open
Abstract
The receptorial responsiveness method (RRM) enables the estimation of a change in concentration of an (even degradable) agonist, near its receptor, via curve fitting to (at least) two concentration-effect (E/c) curves of a stable agonist. One curve should be generated before this change, and the other afterwards, in the same system. It follows that RRM yields a surrogate parameter ("cx") as the concentration of the stable agonist being equieffective with the change in concentration of the other agonist. However, regression can be conducted several ways, which can affect the accuracy, precision and ease-of-use. This study utilized data of previous ex vivo investigations. Known concentrations of stable agonists were estimated with RRM by performing individual (local) or global fitting, this latter with one or two model(s), using a logarithmic (logcx) or a nonlogarithmic (cx) parameter (the latter in a complex or in a simplified equation), with ordinary least-squares or robust regression, and with an "all-at-once" or "pairwise" fitting manner. We found that the simplified model containing logcx was superior to all alternative models. The most complicated individual regression was the most accurate, followed closely by the moderately complicated two-model global regression and then by the easy-to-perform one-model global regression. The two-model global fitting was the most precise, followed by the individual fitting (closely) and by the one-model global fitting (from afar). Pairwise fitting (two E/c curves at once) improved the estimation. Thus, the two-model global fitting, performed pairwise, and the individual fitting are recommended for RRM, using the simplified model containing logcx.
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Affiliation(s)
- Ignac Ovari
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
- University of Debrecen, Doctoral School of Nutrition and Food Sciences, Debrecen, Hungary
| | - Gabor Viczjan
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Tamas Erdei
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Barbara Takacs
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Vera Tarjanyi
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Judit Zsuga
- Department of Psychiatry, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Miklos Szucs
- Department of Urology and Andrology, Kenezy Gyula Campus, University of Debrecen, Debrecen, Hungary
| | - Zoltan Szilvassy
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Bela Juhasz
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Rudolf Gesztelyi
- Department of Pharmacology and Pharmacotherapy, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
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4
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Anbaei P, Stevens MG, Ball AG, Bullock TNJ, Pompano RR. Spatially resolved quantification of oxygen consumption rate in ex vivo lymph node slices. Analyst 2024; 149:2609-2620. [PMID: 38535830 PMCID: PMC11056769 DOI: 10.1039/d4an00028e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 03/09/2024] [Indexed: 04/09/2024]
Abstract
Cellular metabolism has been closely linked to activation state in cells of the immune system, and the oxygen consumption rate (OCR) in particular serves as a valuable metric for assessing metabolic activity. Several oxygen sensing assays have been reported for cells in standard culture conditions. However, none have provided a spatially resolved, optical measurement of local oxygen consumption in intact tissue samples, making it challenging to understand regional dynamics of consumption. Therefore, here we established a system to monitor the rates of oxygen consumption in ex vivo tissue slices, using murine lymphoid tissue as a case study. By integrating an optical oxygen sensor into a sealed perfusion chamber and incorporating appropriate correction for photobleaching of the sensor and of tissue autofluorescence, we were able to visualize and quantify rates of oxygen consumption in tissue. This method revealed for the first time that the rate of oxygen consumption in naïve lymphoid tissue was higher in the T cell region compared to the B cell and cortical regions. To validate the method, we measured OCR in the T cell regions of naïve lymph node slices using the optical assay and estimated the consumption rate per cell. The predictions from the optical assay were similar to reported values and were not significantly different from those of the Seahorse metabolic assay, a gold standard method for measuring OCR in cell suspensions. Finally, we used this method to quantify the rate of onset of tissue hypoxia for lymph node slices cultured in a sealed chamber and showed that continuous perfusion was sufficient to maintain oxygenation. In summary, this work establishes a method to monitor oxygen consumption with regional resolution in intact tissue explants, suitable for future use to compare tissue culture conditions and responses to stimulation.
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Affiliation(s)
- Parastoo Anbaei
- Department of Chemistry, University of Virginia College of Arts and, Sciences, Charlottesville, Virginia 22904, USA.
| | - Marissa G Stevens
- Department of Pathology, University of Virginia, Charlottesville, Virginia 22903, USA
- Carter Immunology Center and UVA Cancer Center, University of Virginia, Charlottesville, Virginia 22903, USA
| | - Alexander G Ball
- Department of Microbiology Cancer Biology and Immunology, University of Virginia, Charlottesville, Virginia 22903, USA
- Carter Immunology Center and UVA Cancer Center, University of Virginia, Charlottesville, Virginia 22903, USA
| | - Timothy N J Bullock
- Department of Pathology, University of Virginia, Charlottesville, Virginia 22903, USA
- Carter Immunology Center and UVA Cancer Center, University of Virginia, Charlottesville, Virginia 22903, USA
| | - Rebecca R Pompano
- Department of Chemistry, University of Virginia College of Arts and, Sciences, Charlottesville, Virginia 22904, USA.
- Department of Biomedical Engineering, University of Virginia School of Engineering and Applied Sciences, Charlottesville, Virginia 22904, USA
- Carter Immunology Center and UVA Cancer Center, University of Virginia, Charlottesville, Virginia 22903, USA
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5
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Anbaei P, Stevens MG, Ball AG, Bullock TNJ, Pompano RR. Spatially resolved quantification of oxygen consumption rate in ex vivo lymph node slices. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.03.573955. [PMID: 38260315 PMCID: PMC10802365 DOI: 10.1101/2024.01.03.573955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Cellular metabolism has been closely linked to activation state in cells of the immune system, and the oxygen consumption rate (OCR) in particular serves as a valuable metric for assessing metabolic activity. Several oxygen sensing assays have been reported for cells in standard culture conditions. However, none have provided a spatially resolved, optical measurement of local oxygen consumption in intact tissue samples, making it challenging to understand regional dynamics of consumption. Therefore, here we established a system to monitor the rates of oxygen consumption in ex vivo tissue slices, using murine lymphoid tissue as a case study. By integrating an optical oxygen sensor into a sealed perfusion chamber and incorporating appropriate correction for photobleaching of the sensor and of tissue autofluorescence, we were able to visualize and quantify rates of oxygen consumption in tissue. This method revealed for the first time that the rate of oxygen consumption in naïve lymphoid tissue was higher in the T cell region compared to the B cell and cortical regions. To validate the method, we measured OCR in the T cell regions of naïve lymph node slices using the optical assay and estimated the consumption rate per cell. The predictions from the optical assay were similar to reported values and were not significantly different from those of the Seahorse metabolic assay, a gold standard method for measuring OCR in cell suspensions. Finally, we used this method to quantify the rate of onset of tissue hypoxia for lymph node slices cultured in a sealed chamber and showed that continuous perfusion was sufficient to maintain oxygenation. In summary, this work establishes a method to monitor oxygen consumption with regional resolution in intact tissue explants, suitable for future use to compare tissue culture conditions and responses to stimulation. TOC image
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6
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Taylor JN, Pélissier A, Mochizuki K, Hashimoto K, Kumamoto Y, Harada Y, Fujita K, Bocklitz T, Komatsuzaki T. Correction for Extrinsic Background in Raman Hyperspectral Images. Anal Chem 2023; 95:12298-12305. [PMID: 37561910 PMCID: PMC10448497 DOI: 10.1021/acs.analchem.3c01406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 07/26/2023] [Indexed: 08/12/2023]
Abstract
Raman hyperspectral microscopy is a valuable tool in biological and biomedical imaging. Because Raman scattering is often weak in comparison to other phenomena, prevalent spectral fluctuations and contaminations have brought advancements in analytical and chemometric methods for Raman spectra. These chemometric advances have been key contributors to the applicability of Raman imaging to biological systems. As studies increase in scale, spectral contamination from extrinsic background, intensity from sources such as the optical components that are extrinsic to the sample of interest, has become an emerging issue. Although existing baseline correction schemes often reduce intrinsic background such as autofluorescence originating from the sample of interest, extrinsic background is not explicitly considered, and these methods often fail to reduce its effects. Here, we show that extrinsic background can significantly affect a classification model using Raman images, yielding misleadingly high accuracies in the distinction of benign and malignant samples of follicular thyroid cell lines. To mitigate its effects, we develop extrinsic background correction (EBC) and demonstrate its use in combination with existing methods on Raman hyperspectral images. EBC isolates regions containing the smallest amounts of sample materials that retain extrinsic contributions that are specific to the device or environment. We perform classification both with and without the use of EBC, and we find that EBC retains biological characteristics in the spectra while significantly reducing extrinsic background. As the methodology used in EBC is not specific to Raman spectra, correction of extrinsic effects in other types of hyperspectral and grayscale images is also possible.
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Affiliation(s)
- J. Nicholas Taylor
- Research
Institute for Electronic Science, Hokkaido
University, Kita 20, Nishi 10, Kita-ku, Sapporo 001-0020, Japan
- Advanced
Photonics and Biosensing Open Innovation Laboratory, AIST-Osaka University, Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Aurélien Pélissier
- Research
Institute for Electronic Science, Hokkaido
University, Kita 20, Nishi 10, Kita-ku, Sapporo 001-0020, Japan
- IBM
Research Europe, 8803 Rüschlikon, Switzerland
| | - Kentaro Mochizuki
- Department
of Pathology and Cell Regulation, Kyoto
Prefectural University of Medicine, Kajii-cho 465, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Kosuke Hashimoto
- Department
of Pathology and Cell Regulation, Kyoto
Prefectural University of Medicine, Kajii-cho 465, Kamigyo-ku, Kyoto 602-8566, Japan
- Department
of Biomedical Sciences, School of Biological and Environmental Sciences, Kwansei Gakuin University, 1 Gakuen, Uegahara, Sanda, Hyogo 669-1330, Japan
| | - Yasuaki Kumamoto
- Department
of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
- Institute
for Open and Transdisciplinary Research Initiatives, Osaka University, Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Yoshinori Harada
- Department
of Pathology and Cell Regulation, Kyoto
Prefectural University of Medicine, Kajii-cho 465, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Katsumasa Fujita
- Advanced
Photonics and Biosensing Open Innovation Laboratory, AIST-Osaka University, Yamadaoka, Suita, Osaka 565-0871, Japan
- Department
of Applied Physics, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan
- Institute
for Open and Transdisciplinary Research Initiatives, Osaka University, Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Thomas Bocklitz
- Leibniz
Institute of Photonic Technology (IPHT), 07745 Jena, Germany
- Institute
of Physical Chemistry and Abbe Center of Photonics (IPC), Friedrich Schiller University, D-07443 Jena, Germany
| | - Tamiki Komatsuzaki
- Research
Institute for Electronic Science, Hokkaido
University, Kita 20, Nishi 10, Kita-ku, Sapporo 001-0020, Japan
- Advanced
Photonics and Biosensing Open Innovation Laboratory, AIST-Osaka University, Yamadaoka, Suita, Osaka 565-0871, Japan
- Institute
for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Kita 21 Nishi 10, Kita-ku, Sapporo, Hokkaido 001-0021, Japan
- Graduate
School of Chemical Sciences and Engineering Materials Chemistry and
Energy Course, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-0812, Japan
- The
Institute of Scientific and Industrial Research, Osaka University, Mihogaoka,
Ibaraki, 8-1, Osaka 567-0047, Japan
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Mu X, Chen FD, Dang KM, Brunk MGK, Li J, Wahn H, Stalmashonak A, Ding P, Luo X, Chua H, Lo GQ, Poon JKS, Sacher WD. Implantable photonic neural probes with 3D-printed microfluidics and applications to uncaging. Front Neurosci 2023; 17:1213265. [PMID: 37521687 PMCID: PMC10373094 DOI: 10.3389/fnins.2023.1213265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 06/13/2023] [Indexed: 08/01/2023] Open
Abstract
Advances in chip-scale photonic-electronic integration are enabling a new generation of foundry-manufacturable implantable silicon neural probes incorporating nanophotonic waveguides and microelectrodes for optogenetic stimulation and electrophysiological recording in neuroscience research. Further extending neural probe functionalities with integrated microfluidics is a direct approach to achieve neurochemical injection and sampling capabilities. In this work, we use two-photon polymerization 3D printing to integrate microfluidic channels onto photonic neural probes, which include silicon nitride nanophotonic waveguides and grating emitters. The customizability of 3D printing enables a unique geometry of microfluidics that conforms to the shape of each neural probe, enabling integration of microfluidics with a variety of existing neural probes while avoiding the complexities of monolithic microfluidics integration. We demonstrate the photonic and fluidic functionalities of the neural probes via fluorescein injection in agarose gel and photoloysis of caged fluorescein in solution and in fixed brain tissue.
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Affiliation(s)
- Xin Mu
- Max Planck Institute of Microstructure Physics, Halle, Germany
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada
| | - Fu-Der Chen
- Max Planck Institute of Microstructure Physics, Halle, Germany
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada
- Max Planck-University of Toronto Centre for Neural Science and Technology, Toronto, ON, Canada
| | - Ka My Dang
- Max Planck Institute of Microstructure Physics, Halle, Germany
- Max Planck-University of Toronto Centre for Neural Science and Technology, Toronto, ON, Canada
| | - Michael G. K. Brunk
- Max Planck Institute of Microstructure Physics, Halle, Germany
- Max Planck-University of Toronto Centre for Neural Science and Technology, Toronto, ON, Canada
| | - Jianfeng Li
- Max Planck Institute of Microstructure Physics, Halle, Germany
- Max Planck-University of Toronto Centre for Neural Science and Technology, Toronto, ON, Canada
| | - Hannes Wahn
- Max Planck Institute of Microstructure Physics, Halle, Germany
| | | | - Peisheng Ding
- Max Planck Institute of Microstructure Physics, Halle, Germany
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada
| | - Xianshu Luo
- Advanced Micro Foundry Pte. Ltd., Singapore, Singapore
| | - Hongyao Chua
- Advanced Micro Foundry Pte. Ltd., Singapore, Singapore
| | - Guo-Qiang Lo
- Advanced Micro Foundry Pte. Ltd., Singapore, Singapore
| | - Joyce K. S. Poon
- Max Planck Institute of Microstructure Physics, Halle, Germany
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada
- Max Planck-University of Toronto Centre for Neural Science and Technology, Toronto, ON, Canada
| | - Wesley D. Sacher
- Max Planck Institute of Microstructure Physics, Halle, Germany
- Max Planck-University of Toronto Centre for Neural Science and Technology, Toronto, ON, Canada
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8
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Ozulumba T, Montalbine AN, Ortiz-Cárdenas JE, Pompano RR. New tools for immunologists: models of lymph node function from cells to tissues. Front Immunol 2023; 14:1183286. [PMID: 37234163 PMCID: PMC10206051 DOI: 10.3389/fimmu.2023.1183286] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 04/20/2023] [Indexed: 05/27/2023] Open
Abstract
The lymph node is a highly structured organ that mediates the body's adaptive immune response to antigens and other foreign particles. Central to its function is the distinct spatial assortment of lymphocytes and stromal cells, as well as chemokines that drive the signaling cascades which underpin immune responses. Investigations of lymph node biology were historically explored in vivo in animal models, using technologies that were breakthroughs in their time such as immunofluorescence with monoclonal antibodies, genetic reporters, in vivo two-photon imaging, and, more recently spatial biology techniques. However, new approaches are needed to enable tests of cell behavior and spatiotemporal dynamics under well controlled experimental perturbation, particularly for human immunity. This review presents a suite of technologies, comprising in vitro, ex vivo and in silico models, developed to study the lymph node or its components. We discuss the use of these tools to model cell behaviors in increasing order of complexity, from cell motility, to cell-cell interactions, to organ-level functions such as vaccination. Next, we identify current challenges regarding cell sourcing and culture, real time measurements of lymph node behavior in vivo and tool development for analysis and control of engineered cultures. Finally, we propose new research directions and offer our perspective on the future of this rapidly growing field. We anticipate that this review will be especially beneficial to immunologists looking to expand their toolkit for probing lymph node structure and function.
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Affiliation(s)
- Tochukwu Ozulumba
- Department of Chemistry, University of Virginia, Charlottesville, VA, United States
| | - Alyssa N. Montalbine
- Department of Chemistry, University of Virginia, Charlottesville, VA, United States
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA, United States
| | - Jennifer E. Ortiz-Cárdenas
- Department of Chemistry, University of Virginia, Charlottesville, VA, United States
- Department of Bioengineering, Stanford University, Stanford, CA, United States
| | - Rebecca R. Pompano
- Department of Chemistry, University of Virginia, Charlottesville, VA, United States
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States
- Carter Immunology Center and University of Virginia (UVA) Cancer Center, University of Virginia School of Medicine, Charlottesville, VA, United States
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9
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Hammel JH, Zatorski JM, Cook SR, Pompano RR, Munson JM. Engineering in vitro immune-competent tissue models for testing and evaluation of therapeutics. Adv Drug Deliv Rev 2022; 182:114111. [PMID: 35031388 PMCID: PMC8908413 DOI: 10.1016/j.addr.2022.114111] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 11/16/2021] [Accepted: 01/07/2022] [Indexed: 12/13/2022]
Abstract
Advances in 3D cell culture, microscale fluidic control, and cellular analysis have enabled the development of more physiologically-relevant engineered models of human organs with precise control of the cellular microenvironment. Engineered models have been used successfully to answer fundamental biological questions and to screen therapeutics, but these often neglect key elements of the immune system. There are immune elements in every tissue that contribute to healthy and diseased states. Including immune function will be essential for effective preclinical testing of therapeutics for inflammatory and immune-modulated diseases. In this review, we first discuss the key components to consider in designing engineered immune-competent models in terms of physical, chemical, and biological cues. Next, we review recent applications of models of immunity for screening therapeutics for cancer, preclinical evaluation of engineered T cells, modeling autoimmunity, and screening vaccine efficacy. Future work is needed to further recapitulate immune responses in engineered models for the most informative therapeutic screening and evaluation.
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Affiliation(s)
- Jennifer H. Hammel
- Fralin Biomedical Research Institute and Department of Biomedical Engineering and Mechanics, Virginia Tech, Roanoke, Virginia 24016, USA
| | - Jonathan M. Zatorski
- Department of Chemistry, University of Virginia, Charlottesville, Virginia 22904, USA
| | - Sophie R. Cook
- Department of Chemistry, University of Virginia, Charlottesville, Virginia 22904, USA
| | - Rebecca R. Pompano
- Department of Chemistry, University of Virginia, Charlottesville, Virginia 22904, USA,Department of Biomedical Engineering, University of Virginia; Charlottesville, Virginia 22904, USA,Carter Immunology Center and UVA Cancer Center, University of Virginia School of Medicine, Charlottesville, Virginia 22903
| | - Jennifer M. Munson
- Fralin Biomedical Research Institute and Department of Biomedical Engineering and Mechanics, Virginia Tech, Roanoke, Virginia 24016, USA
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