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Hanlon KS, Cheng M, Ferrer RM, Ryu JR, Lee B, De La Cruz D, Patel N, Espinoza P, Santoscoy MC, Gong Y, Ng C, Nguyen DM, Nammour J, Clark SW, Heine VM, Sun W, Kozarsky K, Maguire CA. In vivo selection in non-human primates identifies AAV capsids for on-target CSF delivery to spinal cord. Mol Ther 2024; 32:2584-2603. [PMID: 38845196 DOI: 10.1016/j.ymthe.2024.05.040] [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: 04/12/2024] [Revised: 05/23/2024] [Accepted: 05/31/2024] [Indexed: 06/16/2024] Open
Abstract
Systemic administration of adeno-associated virus (AAV) vectors for spinal cord gene therapy has challenges including toxicity at high doses and pre-existing immunity that reduces efficacy. Intrathecal (IT) delivery of AAV vectors into cerebral spinal fluid can avoid many issues, although distribution of the vector throughout the spinal cord is limited, and vector entry to the periphery sometimes initiates hepatotoxicity. Here we performed biopanning in non-human primates (NHPs) with an IT injected AAV9 peptide display library. We identified top candidates by sequencing inserts of AAV DNA isolated from whole tissue, nuclei, or nuclei from transgene-expressing cells. These barcoded candidates were pooled with AAV9 and compared for biodistribution and transgene expression in spinal cord and liver of IT injected NHPs. Most candidates displayed increased retention in spinal cord compared with AAV9. Greater spread from the lumbar to the thoracic and cervical regions was observed for several capsids. Furthermore, several capsids displayed decreased biodistribution to the liver compared with AAV9, providing a high on-target/low off-target biodistribution. Finally, we tested top candidates in human spinal cord organoids and found them to outperform AAV9 in efficiency of transgene expression in neurons and astrocytes. These capsids have potential to serve as leading-edge delivery vehicles for spinal cord-directed gene therapies.
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Affiliation(s)
- Killian S Hanlon
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Molecular Neurogenetics Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02116, USA; University College London, London, UK
| | - Ming Cheng
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Molecular Neurogenetics Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02116, USA
| | - Roberto Montoro Ferrer
- Department of Pediatric Neurology, Emma Children's Hospital, Amsterdam UMC, Amsterdam Leukodystrophy Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, the Netherlands; Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, De Boelelaan, Amsterdam, the Netherlands
| | - Jae Ryun Ryu
- Department of Anatomy, Brain Korea 21 Plus Program for Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea
| | - Boram Lee
- Department of Anatomy, Brain Korea 21 Plus Program for Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea
| | - Demitri De La Cruz
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Molecular Neurogenetics Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02116, USA
| | - Nikita Patel
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Molecular Neurogenetics Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02116, USA
| | - Paula Espinoza
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Molecular Neurogenetics Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02116, USA
| | - Miguel C Santoscoy
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Molecular Neurogenetics Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02116, USA
| | - Yi Gong
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02116, USA
| | - Carrie Ng
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Molecular Neurogenetics Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02116, USA
| | - Diane M Nguyen
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Molecular Neurogenetics Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02116, USA
| | - Josette Nammour
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Molecular Neurogenetics Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02116, USA
| | - Sean W Clark
- SwanBio Therapeutics, Bala Cynwyd, PA 19005, USA
| | - Vivi M Heine
- Department of Child and Adolescent Psychiatry, Emma Center for Personalized Medicine, Emma Children's Hospital, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, the Netherlands; Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, De Boelelaan, Amsterdam, the Netherland
| | - Woong Sun
- Department of Anatomy, Brain Korea 21 Plus Program for Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea
| | | | - Casey A Maguire
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02115, USA; Molecular Neurogenetics Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Harvard Medical School, Boston, MA 02116, USA.
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2
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Mulay AR, Hwang J, Kim DH. Microphysiological Blood-Brain Barrier Systems for Disease Modeling and Drug Development. Adv Healthc Mater 2024; 13:e2303180. [PMID: 38430211 PMCID: PMC11338747 DOI: 10.1002/adhm.202303180] [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: 09/20/2023] [Revised: 02/22/2024] [Indexed: 03/03/2024]
Abstract
The blood-brain barrier (BBB) is a highly controlled microenvironment that regulates the interactions between cerebral blood and brain tissue. Due to its selectivity, many therapeutics targeting various neurological disorders are not able to penetrate into brain tissue. Pre-clinical studies using animals and other in vitro platforms have not shown the ability to fully replicate the human BBB leading to the failure of a majority of therapeutics in clinical trials. However, recent innovations in vitro and ex vivo modeling called organs-on-chips have shown the potential to create more accurate disease models for improved drug development. These microfluidic platforms induce physiological stressors on cultured cells and are able to generate more physiologically accurate BBBs compared to previous in vitro models. In this review, different approaches to create BBBs-on-chips are explored alongside their application in modeling various neurological disorders and potential therapeutic efficacy. Additionally, organs-on-chips use in BBB drug delivery studies is discussed, and advances in linking brain organs-on-chips onto multiorgan platforms to mimic organ crosstalk are reviewed.
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Affiliation(s)
- Atharva R. Mulay
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland 21218
| | - Jihyun Hwang
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland 21218
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205
| | - Deok-Ho Kim
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, 21205
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205
- Center for Microphysiological Systems, Johns Hopkins University School of Medicine, Baltimore, MD, 21205
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218
- Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, 21218
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Mansouri M, Lam J, Sung KE. Progress in developing microphysiological systems for biological product assessment. LAB ON A CHIP 2024; 24:1293-1306. [PMID: 38230512 DOI: 10.1039/d3lc00876b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Microphysiological systems (MPS), also known as miniaturized physiological environments, have been engineered to create and study functional tissue units capable of replicating organ-level responses in specific contexts. The MPS has the potential to provide insights about the safety, characterization, and effectiveness of medical products that are different and complementary to insights gained from traditional testing systems, which can help facilitate the transition of potential medical products from preclinical phases to clinical trials, and eventually to market. While many MPS are versatile and can be used in various applications, most of the current applications have primarily focused on drug discovery and testing. Yet, there is a limited amount of research available that demonstrates the use of MPS in assessing biological products such as cellular and gene therapies. This review paper aims to address this gap by discussing recent technical advancements in MPS and their potential for assessing biological products. We further discuss the challenges and considerations involved in successful translation of MPS into mainstream product testing.
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Affiliation(s)
- Mona Mansouri
- Cellular and Tissue Therapies Branch, Office of Cellular Therapy and Human Tissue, Center for Biologics Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
| | - Johnny Lam
- Cellular and Tissue Therapies Branch, Office of Cellular Therapy and Human Tissue, Center for Biologics Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
| | - Kyung E Sung
- Cellular and Tissue Therapies Branch, Office of Cellular Therapy and Human Tissue, Center for Biologics Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
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4
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Baker TK, Van Vleet TR, Mahalingaiah PK, Grandhi TSP, Evers R, Ekert J, Gosset JR, Chacko SA, Kopec AK. The Current Status and Use of Microphysiological Systems by the Pharmaceutical Industry: The International Consortium for Innovation and Quality Microphysiological Systems Affiliate Survey and Commentary. Drug Metab Dispos 2024; 52:198-209. [PMID: 38123948 DOI: 10.1124/dmd.123.001510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 11/21/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023] Open
Abstract
Microphysiological systems (MPS) are comprised of one or multiple cell types of human or animal origins that mimic the biochemical/electrical/mechanical responses and blood-tissue barrier properties of the cells observed within a complex organ. The goal of incorporating these in vitro systems is to expedite and advance the drug discovery and development paradigm with improved predictive and translational capabilities. Considering the industry need for improved efficiency and the broad challenges of model qualification and acceptance, the International Consortium for Innovation and Quality (IQ) founded an IQ MPS working group in 2014 and Affiliate in 2018. This group connects thought leaders and end users, provides a forum for crosspharma collaboration, and engages with regulators to qualify translationally relevant MPS models. To understand how pharmaceutical companies are using MPS, the IQ MPS Affiliate conducted two surveys in 2019, survey 1, and 2021, survey 2, which differed slightly in the scope of definition of the complex in vitro models under question. The surveys captured demographics, resourcing, rank order for organs of interest, compound modalities tested, and MPS organ-specific questions, including nonclinical species needs and cell types. The major focus of this manuscript is on results from survey 2, where we specifically highlight the context of use for MPS within safety, pharmacology, or absorption, disposition, metabolism, and excretion and discuss considerations for including MPS data in regulatory submissions. In summary, these data provide valuable insights for developers, regulators, and pharma, offering a view into current industry practices and future considerations while highlighting key challenges impacting MPS adoption. SIGNIFICANCE STATEMENT: The application of microphysiological systems (MPS) represents a growing area of interest in the drug discovery and development framework. This study surveyed 20+ pharma companies to understand resourcing, current areas of application, and the key challenges and barriers to internal MPS adoption. These results will provide regulators, tech providers, and pharma industry leaders a starting point to assess the current state of MPS applications along with key learnings to effectively realize the potential of MPS as an emerging technology.
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Affiliation(s)
- Thomas K Baker
- Investigative Toxicology, Eli Lilly, Indianapolis, Indiana (T.K.B.); Investigative Toxicology and Pathology, AbbVie, Inc., Chicago, Illinois (T.R.V.F., P.K.M.); Complex In Vitro Models Group, GSK, Collegeville, Pennsylvania (T.S.P.G.); Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, Pennsylvania (R.E.); UCB Pharma, Cambridge, Massachusetts (J.E.); Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer, Inc., Cambridge, Massachusetts (J.R.G.); Research and Development, Bristol Myers Squibb Company, Princeton, New Jersey (S.A.C.); and Drug Safety Research & Development, Pfizer, Inc., Groton, Connecticut (A.K.K.) baker_thomas_k@lilly
| | - Terry R Van Vleet
- Investigative Toxicology, Eli Lilly, Indianapolis, Indiana (T.K.B.); Investigative Toxicology and Pathology, AbbVie, Inc., Chicago, Illinois (T.R.V.F., P.K.M.); Complex In Vitro Models Group, GSK, Collegeville, Pennsylvania (T.S.P.G.); Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, Pennsylvania (R.E.); UCB Pharma, Cambridge, Massachusetts (J.E.); Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer, Inc., Cambridge, Massachusetts (J.R.G.); Research and Development, Bristol Myers Squibb Company, Princeton, New Jersey (S.A.C.); and Drug Safety Research & Development, Pfizer, Inc., Groton, Connecticut (A.K.K.)
| | - Prathap Kumar Mahalingaiah
- Investigative Toxicology, Eli Lilly, Indianapolis, Indiana (T.K.B.); Investigative Toxicology and Pathology, AbbVie, Inc., Chicago, Illinois (T.R.V.F., P.K.M.); Complex In Vitro Models Group, GSK, Collegeville, Pennsylvania (T.S.P.G.); Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, Pennsylvania (R.E.); UCB Pharma, Cambridge, Massachusetts (J.E.); Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer, Inc., Cambridge, Massachusetts (J.R.G.); Research and Development, Bristol Myers Squibb Company, Princeton, New Jersey (S.A.C.); and Drug Safety Research & Development, Pfizer, Inc., Groton, Connecticut (A.K.K.)
| | - Taraka Sai Pavan Grandhi
- Investigative Toxicology, Eli Lilly, Indianapolis, Indiana (T.K.B.); Investigative Toxicology and Pathology, AbbVie, Inc., Chicago, Illinois (T.R.V.F., P.K.M.); Complex In Vitro Models Group, GSK, Collegeville, Pennsylvania (T.S.P.G.); Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, Pennsylvania (R.E.); UCB Pharma, Cambridge, Massachusetts (J.E.); Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer, Inc., Cambridge, Massachusetts (J.R.G.); Research and Development, Bristol Myers Squibb Company, Princeton, New Jersey (S.A.C.); and Drug Safety Research & Development, Pfizer, Inc., Groton, Connecticut (A.K.K.)
| | - Raymond Evers
- Investigative Toxicology, Eli Lilly, Indianapolis, Indiana (T.K.B.); Investigative Toxicology and Pathology, AbbVie, Inc., Chicago, Illinois (T.R.V.F., P.K.M.); Complex In Vitro Models Group, GSK, Collegeville, Pennsylvania (T.S.P.G.); Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, Pennsylvania (R.E.); UCB Pharma, Cambridge, Massachusetts (J.E.); Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer, Inc., Cambridge, Massachusetts (J.R.G.); Research and Development, Bristol Myers Squibb Company, Princeton, New Jersey (S.A.C.); and Drug Safety Research & Development, Pfizer, Inc., Groton, Connecticut (A.K.K.)
| | - Jason Ekert
- Investigative Toxicology, Eli Lilly, Indianapolis, Indiana (T.K.B.); Investigative Toxicology and Pathology, AbbVie, Inc., Chicago, Illinois (T.R.V.F., P.K.M.); Complex In Vitro Models Group, GSK, Collegeville, Pennsylvania (T.S.P.G.); Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, Pennsylvania (R.E.); UCB Pharma, Cambridge, Massachusetts (J.E.); Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer, Inc., Cambridge, Massachusetts (J.R.G.); Research and Development, Bristol Myers Squibb Company, Princeton, New Jersey (S.A.C.); and Drug Safety Research & Development, Pfizer, Inc., Groton, Connecticut (A.K.K.)
| | - James R Gosset
- Investigative Toxicology, Eli Lilly, Indianapolis, Indiana (T.K.B.); Investigative Toxicology and Pathology, AbbVie, Inc., Chicago, Illinois (T.R.V.F., P.K.M.); Complex In Vitro Models Group, GSK, Collegeville, Pennsylvania (T.S.P.G.); Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, Pennsylvania (R.E.); UCB Pharma, Cambridge, Massachusetts (J.E.); Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer, Inc., Cambridge, Massachusetts (J.R.G.); Research and Development, Bristol Myers Squibb Company, Princeton, New Jersey (S.A.C.); and Drug Safety Research & Development, Pfizer, Inc., Groton, Connecticut (A.K.K.)
| | - Silvi A Chacko
- Investigative Toxicology, Eli Lilly, Indianapolis, Indiana (T.K.B.); Investigative Toxicology and Pathology, AbbVie, Inc., Chicago, Illinois (T.R.V.F., P.K.M.); Complex In Vitro Models Group, GSK, Collegeville, Pennsylvania (T.S.P.G.); Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, Pennsylvania (R.E.); UCB Pharma, Cambridge, Massachusetts (J.E.); Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer, Inc., Cambridge, Massachusetts (J.R.G.); Research and Development, Bristol Myers Squibb Company, Princeton, New Jersey (S.A.C.); and Drug Safety Research & Development, Pfizer, Inc., Groton, Connecticut (A.K.K.)
| | - Anna K Kopec
- Investigative Toxicology, Eli Lilly, Indianapolis, Indiana (T.K.B.); Investigative Toxicology and Pathology, AbbVie, Inc., Chicago, Illinois (T.R.V.F., P.K.M.); Complex In Vitro Models Group, GSK, Collegeville, Pennsylvania (T.S.P.G.); Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, Pennsylvania (R.E.); UCB Pharma, Cambridge, Massachusetts (J.E.); Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer, Inc., Cambridge, Massachusetts (J.R.G.); Research and Development, Bristol Myers Squibb Company, Princeton, New Jersey (S.A.C.); and Drug Safety Research & Development, Pfizer, Inc., Groton, Connecticut (A.K.K.)
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5
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Jordan R, Ford-Scheimer SL, Alarcon RM, Atala A, Borenstein JT, Brimacombe KR, Cherry S, Clevers H, Davis MI, Funnell SGP, Gehrke L, Griffith LG, Grossman AC, Hartung T, Ingber DE, Kleinstreuer NC, Kuo CJ, Lee EM, Mummery CL, Pickett TE, Ramani S, Rosado-Olivieri EA, Struble EB, Wan Z, Williams MS, Hall MD, Ferrer M, Markossian S. Report of the Assay Guidance Workshop on 3-Dimensional Tissue Models for Antiviral Drug Development. J Infect Dis 2023; 228:S337-S354. [PMID: 37669225 PMCID: PMC10547463 DOI: 10.1093/infdis/jiad334] [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] [Indexed: 09/07/2023] Open
Abstract
The National Center for Advancing Translational Sciences (NCATS) Assay Guidance Manual (AGM) Workshop on 3D Tissue Models for Antiviral Drug Development, held virtually on 7-8 June 2022, provided comprehensive coverage of critical concepts intended to help scientists establish robust, reproducible, and scalable 3D tissue models to study viruses with pandemic potential. This workshop was organized by NCATS, the National Institute of Allergy and Infectious Diseases, and the Bill and Melinda Gates Foundation. During the workshop, scientific experts from academia, industry, and government provided an overview of 3D tissue models' utility and limitations, use of existing 3D tissue models for antiviral drug development, practical advice, best practices, and case studies about the application of available 3D tissue models to infectious disease modeling. This report includes a summary of each workshop session as well as a discussion of perspectives and challenges related to the use of 3D tissues in antiviral drug discovery.
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Affiliation(s)
- Robert Jordan
- Bill and Melinda Gates Foundation, Seattle, Washington, USA
| | - Stephanie L Ford-Scheimer
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Rodolfo M Alarcon
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Anthony Atala
- Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | | | - Kyle R Brimacombe
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Sara Cherry
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Mindy I Davis
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Simon G P Funnell
- UK Health Security Agency, Salisbury, United Kingdom
- Quadram Institute Bioscience, Norwich, United Kingdom
| | - Lee Gehrke
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Linda G Griffith
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Abigail C Grossman
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Thomas Hartung
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Donald E Ingber
- Harvard Medical School, Boston, Massachusetts, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA
- Harvard School of Engineering and Applied Sciences, Cambridge, Massachusetts, USA
- Boston Children's Hospital, Boston, Massachusetts, USA
| | - Nicole C Kleinstreuer
- National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle, North Carolina, USA
| | - Calvin J Kuo
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, California, USA
| | - Emily M Lee
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | | | - Thames E Pickett
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Sasirekha Ramani
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, USA
| | | | - Evi B Struble
- US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Zhengpeng Wan
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Mark S Williams
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Matthew D Hall
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Marc Ferrer
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Sarine Markossian
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
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Deng S, Li C, Cao J, Cui Z, Du J, Fu Z, Yang H, Chen P. Organ-on-a-chip meets artificial intelligence in drug evaluation. Theranostics 2023; 13:4526-4558. [PMID: 37649608 PMCID: PMC10465229 DOI: 10.7150/thno.87266] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 08/02/2023] [Indexed: 09/01/2023] Open
Abstract
Drug evaluation has always been an important area of research in the pharmaceutical industry. However, animal welfare protection and other shortcomings of traditional drug development models pose obstacles and challenges to drug evaluation. Organ-on-a-chip (OoC) technology, which simulates human organs on a chip of the physiological environment and functionality, and with high fidelity reproduction organ-level of physiology or pathophysiology, exhibits great promise for innovating the drug development pipeline. Meanwhile, the advancement in artificial intelligence (AI) provides more improvements for the design and data processing of OoCs. Here, we review the current progress that has been made to generate OoC platforms, and how human single and multi-OoCs have been used in applications, including drug testing, disease modeling, and personalized medicine. Moreover, we discuss issues facing the field, such as large data processing and reproducibility, and point to the integration of OoCs and AI in data analysis and automation, which is of great benefit in future drug evaluation. Finally, we look forward to the opportunities and challenges faced by the coupling of OoCs and AI. In summary, advancements in OoCs development, and future combinations with AI, will eventually break the current state of drug evaluation.
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Affiliation(s)
- Shiwen Deng
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Caifeng Li
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
- Robot Intelligent Laboratory of Traditional Chinese Medicine, Experimental Research Center, China Academy of Chinese Medical Sciences & MEGAROBO, Beijing 100700, China
| | - Junxian Cao
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Zhao Cui
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Jiang Du
- Yunnan Biovalley Pharmaceutical Co., Ltd, Kunming 650503, China
| | - Zheng Fu
- Robot Intelligent Laboratory of Traditional Chinese Medicine, Experimental Research Center, China Academy of Chinese Medical Sciences & MEGAROBO, Beijing 100700, China
| | - Hongjun Yang
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
- Robot Intelligent Laboratory of Traditional Chinese Medicine, Experimental Research Center, China Academy of Chinese Medical Sciences & MEGAROBO, Beijing 100700, China
| | - Peng Chen
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
- Yunnan Biovalley Pharmaceutical Co., Ltd, Kunming 650503, China
- Robot Intelligent Laboratory of Traditional Chinese Medicine, Experimental Research Center, China Academy of Chinese Medical Sciences & MEGAROBO, Beijing 100700, China
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7
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Ruzycki CA, Montoya D, Irshad H, Cox J, Zhou Y, McDonald JD, Kuehl PJ. Inhalation delivery of nucleic acid gene therapies in preclinical drug development. Expert Opin Drug Deliv 2023; 20:1097-1113. [PMID: 37732957 DOI: 10.1080/17425247.2023.2261369] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 09/18/2023] [Indexed: 09/22/2023]
Abstract
INTRODUCTION Inhaled gene therapy programs targeting diseases of the lung have seen increasing interest in recent years, though as of yet no product has successfully entered the market. Preclinical research to support such programs is critically important in maximizing the chances of developing successful candidates. AREAS COVERED Aspects of inhalation delivery of gene therapies are reviewed, with a focus on preclinical research in animal models. Various barriers to inhalation delivery of gene therapies are discussed, including aerosolization stresses, aerosol behavior in the respiratory tract, and disposition processes post-deposition. Important aspects of animal models are considered, including determinations of biologically relevant determinations of dose and issues related to translatability. EXPERT OPINION Development of clinically-efficacious inhaled gene therapies has proven difficult owing to numerous challenges. Fit-for-purpose experimental and analytical methods are necessary for determinations of biologically relevant doses in preclinical animal models. Further developments in disease-specific animal models may aid in improving the translatability of results in future work, and we expect to see accelerated interests in inhalation gene therapies for various diseases. Sponsors, researchers, and regulators are encouraged to engage in early and frequent discussion regarding candidate therapies, and additional dissemination of preclinical methodologies would be of immense value in avoiding common pitfalls.
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Affiliation(s)
- Conor A Ruzycki
- Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - Derek Montoya
- Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - Hammad Irshad
- Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - Jason Cox
- Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | - Yue Zhou
- Lovelace Biomedical Research Institute, Albuquerque, NM, USA
| | | | - Philip J Kuehl
- Lovelace Biomedical Research Institute, Albuquerque, NM, USA
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