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Li Y, Kumamaru H, Vokes TJ, Tran AN, Shevinsky CA, Graham L, Archuleta K, Limon KR, Lu P, Blesch A, Tuszynski MH, Brock JH. An improved method for generating human spinal cord neural stem cells. Exp Neurol 2024; 376:114779. [PMID: 38621449 DOI: 10.1016/j.expneurol.2024.114779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 03/21/2024] [Accepted: 04/09/2024] [Indexed: 04/17/2024]
Abstract
Neural stem cells have exhibited efficacy in pre-clinical models of spinal cord injury (SCI) and are on a translational path to human testing. We recently reported that neural stem cells must be driven to a spinal cord fate to optimize host axonal regeneration into sites of implantation in the injured spinal cord, where they subsequently form neural relays across the lesion that support significant functional improvement. We also reported methods of deriving and culturing human spinal cord neural stem cells derived from embryonic stem cells that can be sustained over serial high passage numbers in vitro, providing a potentially optimized cell source for human clinical trials. We now report further optimization of methods for deriving and sustaining cultures of human spinal cord neural stem cell lines that result in improved karyotypic stability while retaining anatomical efficacy in vivo. This development improves prospects for safe human translation.
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Affiliation(s)
- Y Li
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America
| | - H Kumamaru
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America; Department of Orthopedic Surgery, Kyushu University, Oita, Japan
| | - T J Vokes
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America
| | - A N Tran
- Veterans Administration San Diego Healthcare System, San Diego, CA, United States of America
| | - C A Shevinsky
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America
| | - L Graham
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America
| | - K Archuleta
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America
| | - K R Limon
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America
| | - P Lu
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America; Veterans Administration San Diego Healthcare System, San Diego, CA, United States of America
| | - A Blesch
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America; Veterans Administration San Diego Healthcare System, San Diego, CA, United States of America
| | - M H Tuszynski
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America; Veterans Administration San Diego Healthcare System, San Diego, CA, United States of America
| | - J H Brock
- Department of Neurosciences, University of California - San Diego, La Jolla, CA, United States of America; Veterans Administration San Diego Healthcare System, San Diego, CA, United States of America.
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Arthur W, Tubre T, Day EA, Sheehan MK, Sanchez-Ku ML, Paul D, Paulus L, Archuleta K. Motor vehicle crash involvement and moving violations: convergence of self-report and archival data. Hum Factors 2001; 43:1-11. [PMID: 11474755 DOI: 10.1518/001872001775992507] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
In the crash involvement literature, it is generally assumed that archival and other "objective" criterion data are superior to self-reports of crash involvement. Using 394 participants (mean age = 36.23 years), the present study assessed the convergence of archival and self-report measures of motor vehicle crash involvement and moving violations. We also sought to determine whether predictor/criterion relationships would vary as a function of criterion type (i.e., archival vs. self-report), and if a combination of both criteria would result in better prediction than would either by itself. The degree of agreement between the two criterion sources was low, with participants self-reporting more crashes and tickets than were found in their state records. Different predictor/criterion relationships were also found for the two criterion types; stronger effects were obtained for self-report data. Combining the two criteria did not result in relationships stronger than those obtained for self-reports alone. Our findings suggest that self-report data are not inherently inferior to archival data and, furthermore, that the two sources of data cannot be used interchangeably. Actual or potential applications include choosing the appropriate criterion to use, which, as the finding of this study reveals, may depend on the purpose of the investigation.
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Affiliation(s)
- W Arthur
- Department of Psychology, Texas A&M University, College Station 77843-4235, USA.
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