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Equine pituitary pars intermedia dysfunction: a spontaneous model of synucleinopathy. Sci Rep 2021; 11:16036. [PMID: 34362943 PMCID: PMC8346493 DOI: 10.1038/s41598-021-95396-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 07/21/2021] [Indexed: 12/15/2022] Open
Abstract
Equine pituitary pars intermedia dysfunction (PPID) is a common endocrine disease of aged horses that shows a similar pathophysiology as Parkinson’s Disease (PD) with increased levels of α-synuclein (α-syn). While α-syn is thought to play a pathogenic role in horses with PPID, it is unclear if α-syn is also misfolded in the pars intermedia and could similarly promote self-aggregation and propagation. Consequently, α-syn was isolated from the pars intermedia from groups of healthy young and aged horses, and aged PPID-afflicted horses. Seeding experiments confirmed the prion-like properties of α-syn isolated from PPID-afflicted horses. Next, detection of α-syn fibrils in pars intermedia via transmission electron microscopy (TEM) was exclusive to PPID-afflicted horses. A bank of fragment peptides was designed to further characterize equine α-syn misfolding. Region 62–87 of equine and human α-syn peptides was found to be most prone to aggregation according to Tango bioinformatic program and kinetics of aggregation via a thioflavin T fluorescence assay. In both species, fragment peptide 62–87 is capable of generating mature fibrils as demonstrated by TEM. The combined animal, bioinformatic, and biophysical studies provide evidence that equine α-syn is misfolded in PPID horses.
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Spencer CE, Flint LE, Duckett CJ, Cole LM, Cross N, Smith DP, Clench MR. Role of MALDI-MSI in combination with 3D tissue models for early stage efficacy and safety testing of drugs and toxicants. Expert Rev Proteomics 2020; 17:827-841. [PMID: 33440126 PMCID: PMC8396712 DOI: 10.1080/14789450.2021.1876568] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 01/12/2021] [Indexed: 12/13/2022]
Abstract
Introduction: Three-dimensional (3D) cell cultures have become increasingly important materials to investigate biological processes and drug efficacy and toxicity. The ability of 3D cultures to mimic the physiology of primary tissues and organs in the human body enables further insight into cellular behavior and is hence highly desirable in early-stage drug development. Analyzing the spatial distribution of drug compounds and endogenous molecules provides an insight into the efficacy of a drug whilst simultaneously giving information on biological responses. Areas Covered: In this review we will examine the main 3D cell culture systems employed and applications, which describe their integration with mass spectrometry imaging (MSI). Expert Opinion: MSI is a powerful technique that can map a vast range of molecules simultaneously in tissues without the addition of labels that can provide insights into the efficacy and safety of a new drug. The combination of MSI and 3D cell cultures has emerged as a promising tool in early-stage drug analysis. However, the most common administration route for pharmaceutical drugs is via oral delivery. The use of MSI in combination with models of the GI tract is an area that has been little explored to date, the reasons for this are discussed.
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Affiliation(s)
- Chloe E Spencer
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Lucy E Flint
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Catherine J Duckett
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Laura M Cole
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Neil Cross
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - David P Smith
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Malcolm R Clench
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
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Khalil AS, Jaenisch R, Mooney DJ. Engineered tissues and strategies to overcome challenges in drug development. Adv Drug Deliv Rev 2020; 158:116-139. [PMID: 32987094 PMCID: PMC7518978 DOI: 10.1016/j.addr.2020.09.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 08/29/2020] [Accepted: 09/23/2020] [Indexed: 12/16/2022]
Abstract
Current preclinical studies in drug development utilize high-throughput in vitro screens to identify drug leads, followed by both in vitro and in vivo models to predict lead candidates' pharmacokinetic and pharmacodynamic properties. The goal of these studies is to reduce the number of lead drug candidates down to the most likely to succeed in later human clinical trials. However, only 1 in 10 drug candidates that emerge from preclinical studies will succeed and become an approved therapeutic. Lack of efficacy or undetected toxicity represents roughly 75% of the causes for these failures, despite these parameters being the primary exclusion criteria in preclinical studies. Recently, advances in both biology and engineering have created new tools for constructing new preclinical models. These models can complement those used in current preclinical studies by helping to create more realistic representations of human tissues in vitro and in vivo. In this review, we describe current preclinical models to identify their value and limitations and then discuss select areas of research where improvements in preclinical models are particularly needed to advance drug development. Following this, we discuss design considerations for constructing preclinical models and then highlight recent advances in these efforts. Taken together, we aim to review the advances as of 2020 surrounding the prospect of biological and engineering tools for adding enhanced biological relevance to preclinical studies to aid in the challenges of failed drug candidates and the burden this poses on the drug development enterprise and thus healthcare.
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Affiliation(s)
- Andrew S Khalil
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02115, USA; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Rudolf Jaenisch
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
| | - David J Mooney
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02115, USA.
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Inselman A, Liu F, Wang C, Shi Q, Pang L, Mattes W, White M, Lyn-Cook B, Rosas-Hernandez H, Cuevas E, Lantz S, Imam S, Ali S, Petibone DM, Shemansky JM, Xiong R, Wang Y, Tripathi P, Cao X, Heflich RH, Slikker W. Dr. Daniel Acosta and In Vitro toxicology at the U.S. Food and Drug Administration's National Center for Toxicological Research. Toxicol In Vitro 2019; 64:104471. [PMID: 31628011 DOI: 10.1016/j.tiv.2019.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 03/01/2019] [Accepted: 03/04/2019] [Indexed: 10/25/2022]
Abstract
For the past five years, Dr. Daniel Acosta has served as the Deputy Director of Research at the National Center for Toxicological Research (NCTR), a principle research laboratory of the U.S. Food and Drug Administration (FDA). Over his career at NCTR, Dr. Acosta has had a major impact on developing and promoting the use of in vitro assays in regulatory toxicity and product safety assessments. As Dr. Acosta nears his retirement we have dedicated this paper to his many accomplishments at the NCTR. Described within this paper are some of the in vitro studies that have been conducted under Dr. Acosta's leadership. These studies include toxicological assessments involving developmental effects, and the development and application of in vitro reproductive, heart, liver, neurological and airway cell and tissue models.
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Affiliation(s)
- Amy Inselman
- Division of Systems Biology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Fang Liu
- Division of Neurotoxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Cheng Wang
- Division of Neurotoxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Qiang Shi
- Division of Systems Biology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Li Pang
- Division of Systems Biology, NCTR, FDA, Jefferson, AR 72079, USA
| | - William Mattes
- Division of Systems Biology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Matthew White
- Arkansas College of Osteopathic Medicine, Fort Smith, AR 72916, USA
| | - Beverly Lyn-Cook
- Division of Biochemical Toxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | | | - Elvis Cuevas
- Division of Neurotoxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Susan Lantz
- Division of Neurotoxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Syed Imam
- Division of Neurotoxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Syed Ali
- Division of Neurotoxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Dayton M Petibone
- Division of Genetic and Molecular Toxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Jennifer M Shemansky
- Division of Genetic and Molecular Toxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Rui Xiong
- Division of Genetic and Molecular Toxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Yiying Wang
- Division of Genetic and Molecular Toxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Priya Tripathi
- Division of Genetic and Molecular Toxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Xuefei Cao
- Division of Genetic and Molecular Toxicology, NCTR, FDA, Jefferson, AR 72079, USA
| | - Robert H Heflich
- Division of Genetic and Molecular Toxicology, NCTR, FDA, Jefferson, AR 72079, USA
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Heterogeneous drug tissue binding in brain regions of rats, Alzheimer's patients and controls: impact on translational drug development. Sci Rep 2019; 9:5308. [PMID: 30926941 PMCID: PMC6440985 DOI: 10.1038/s41598-019-41828-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 03/18/2019] [Indexed: 01/08/2023] Open
Abstract
For preclinical and clinical assessment of therapeutically relevant unbound, free, brain concentrations, the pharmacokinetic parameter fraction of unbound drug in brain (fu,brain) is commonly used to compensate total drug concentrations for nonspecific brain tissue binding (BTB). As, homogenous BTB is assumed between species and in health and disease, rat BTB is routinely used. The impact of Alzheimer’s disease (AD) on drug BTB in brain regions of interest (ROI), i.e., fu,brain,ROI, is yet unclear. This study for the first time provides insight into regional drug BTB and the validity of employing rat fu,brain,ROI as a surrogate of human BTB, by investigating five marketed drugs in post-mortem tissue from AD patients (n = 6) and age-matched controls (n = 6). Heterogeneous drug BTB was observed in all within group comparisons independent of disease and species. The findings oppose the assumption of uniform BTB, highlighting the need of case-by-case evaluation of fu,brain,ROI in translational CNS research.
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