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Gard AL, Luu RJ, Miller CR, Maloney R, Cain BP, Marr EE, Burns DM, Gaibler R, Mulhern TJ, Wong CA, Alladina J, Coppeta JR, Liu P, Wang JP, Azizgolshani H, Fezzie RF, Balestrini JL, Isenberg BC, Medoff BD, Finberg RW, Borenstein JT. High-throughput human primary cell-based airway model for evaluating influenza, coronavirus, or other respiratory viruses in vitro. Sci Rep 2021; 11:14961. [PMID: 34294757 PMCID: PMC8298517 DOI: 10.1038/s41598-021-94095-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 07/01/2021] [Indexed: 12/15/2022] Open
Abstract
Influenza and other respiratory viruses present a significant threat to public health, national security, and the world economy, and can lead to the emergence of global pandemics such as from COVID-19. A barrier to the development of effective therapeutics is the absence of a robust and predictive preclinical model, with most studies relying on a combination of in vitro screening with immortalized cell lines and low-throughput animal models. Here, we integrate human primary airway epithelial cells into a custom-engineered 96-device platform (PREDICT96-ALI) in which tissues are cultured in an array of microchannel-based culture chambers at an air-liquid interface, in a configuration compatible with high resolution in-situ imaging and real-time sensing. We apply this platform to influenza A virus and coronavirus infections, evaluating viral infection kinetics and antiviral agent dosing across multiple strains and donor populations of human primary cells. Human coronaviruses HCoV-NL63 and SARS-CoV-2 enter host cells via ACE2 and utilize the protease TMPRSS2 for spike protein priming, and we confirm their expression, demonstrate infection across a range of multiplicities of infection, and evaluate the efficacy of camostat mesylate, a known inhibitor of HCoV-NL63 infection. This new capability can be used to address a major gap in the rapid assessment of therapeutic efficacy of small molecules and antiviral agents against influenza and other respiratory viruses including coronaviruses.
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Affiliation(s)
- A L Gard
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - R J Luu
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - C R Miller
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - R Maloney
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - B P Cain
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - E E Marr
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - D M Burns
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - R Gaibler
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - T J Mulhern
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - C A Wong
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - J Alladina
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - J R Coppeta
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - P Liu
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - J P Wang
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - H Azizgolshani
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | | | - J L Balestrini
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - B C Isenberg
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA
| | - B D Medoff
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - R W Finberg
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - J T Borenstein
- Bioengineering Division, Draper, Cambridge, MA, 02139, USA.
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Azizgolshani H, Coppeta JR, Vedula EM, Marr EE, Cain BP, Luu RJ, Lech MP, Kann SH, Mulhern TJ, Tandon V, Tan K, Haroutunian NJ, Keegan P, Rogers M, Gard AL, Baldwin KB, de Souza JC, Hoefler BC, Bale SS, Kratchman LB, Zorn A, Patterson A, Kim ES, Petrie TA, Wiellette EL, Williams C, Isenberg BC, Charest JL. High-throughput organ-on-chip platform with integrated programmable fluid flow and real-time sensing for complex tissue models in drug development workflows. Lab Chip 2021; 21:1454-1474. [PMID: 33881130 DOI: 10.1039/d1lc00067e] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Drug development suffers from a lack of predictive and human-relevant in vitro models. Organ-on-chip (OOC) technology provides advanced culture capabilities to generate physiologically appropriate, human-based tissue in vitro, therefore providing a route to a predictive in vitro model. However, OOC technologies are often created at the expense of throughput, industry-standard form factors, and compatibility with state-of-the-art data collection tools. Here we present an OOC platform with advanced culture capabilities supporting a variety of human tissue models including liver, vascular, gastrointestinal, and kidney. The platform has 96 devices per industry standard plate and compatibility with contemporary high-throughput data collection tools. Specifically, we demonstrate programmable flow control over two physiologically relevant flow regimes: perfusion flow that enhances hepatic tissue function and high-shear stress flow that aligns endothelial monolayers. In addition, we integrate electrical sensors, demonstrating quantification of barrier function of primary gut colon tissue in real-time. We utilize optical access to the tissues to directly quantify renal active transport and oxygen consumption via integrated oxygen sensors. Finally, we leverage the compatibility and throughput of the platform to screen all 96 devices using high content screening (HCS) and evaluate gene expression using RNA sequencing (RNA-seq). By combining these capabilities in one platform, physiologically-relevant tissues can be generated and measured, accelerating optimization of an in vitro model, and ultimately increasing predictive accuracy of in vitro drug screening.
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Affiliation(s)
- H Azizgolshani
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - J R Coppeta
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - E M Vedula
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - E E Marr
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - B P Cain
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - R J Luu
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - M P Lech
- Pfizer, Inc., 1 Portland Street, Cambridge, MA 02139, USA
| | - S H Kann
- Draper, 555 Technology Square, Cambridge, MA 02139, USA. and Department of Mechanical Engineering, Boston University, 110 Cummington Mall, Boston, MA 02215, USA
| | - T J Mulhern
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - V Tandon
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - K Tan
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | | | - P Keegan
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - M Rogers
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - A L Gard
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - K B Baldwin
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - J C de Souza
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - B C Hoefler
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - S S Bale
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - L B Kratchman
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - A Zorn
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - A Patterson
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - E S Kim
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - T A Petrie
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - E L Wiellette
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - C Williams
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - B C Isenberg
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
| | - J L Charest
- Draper, 555 Technology Square, Cambridge, MA 02139, USA.
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