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Targeting Traumatic Brain Injury: Using Phage Display to Create a Specific Antibody for Neurocan Chondroitin Sulfate Proteoglycan Recognition

Description
This project aims to address the current protocol regarding the diagnosis and treatment of traumatic brain injury (TBI) in medical industries around the world. Although there are various methods used to qualitatively determine if TBI has occurred to a patient, this study attempts to aid in the creation of a…

This project aims to address the current protocol regarding the diagnosis and treatment of traumatic brain injury (TBI) in medical industries around the world. Although there are various methods used to qualitatively determine if TBI has occurred to a patient, this study attempts to aid in the creation of a system for quantitative measurement of TBI and its relative magnitude. Through a method of artificial evolution/selection called phage display, an antibody that binds highly specifically to a post-TBI upregulated brain chondroitin sulfate proteoglycan called neurocan has been identified. As TG1 Escheria Coli bacteria were infected with KM13 helper phage and M13 filamentous phage in conjunction, monovalent display of antibody fragments (ScFv) was performed. The ScFv bind directly to the neurocan and from screening, phage that produced ScFv's with higher affinity and specificity to neurocan were separated and purified. Future research aims to improve the ScFv characteristics through increased screening toward neurocan. The identification of a highly specific antibody could lead to improved targeting of neurocan post-TBI in-vivo, aiding researchers in quantitatively defining TBI by visualizing its magnitude.
ContributorsSeelig, Timothy Scott (Author) / Stabenfeldt, Sarah (Thesis director) / Ankeny, Casey (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2015-05

Sideline Concussion Assessment Methods and the Lockhart Monitor App: Assessing the Impact of Common Athletic Playing Surfaces

Description

Current sideline concussion assessment tools are inaccurate and biased leading to undiagnosed concussions and possibly a second, more severe concussion. This study evaluated the effects of different surface types on postural stability using the Lockhart Monitor iPhone application in order to validate its potential use as a data-driven sideline concussion…

Current sideline concussion assessment tools are inaccurate and biased leading to undiagnosed concussions and possibly a second, more severe concussion. This study evaluated the effects of different surface types on postural stability using the Lockhart Monitor iPhone application in order to validate its potential use as a data-driven sideline concussion assessment tool. Participants had three components of their postural sway recorded in 30 and 60-second trials on three different surface types, tile, turf, and natural grass, with eyes open and closed. The statistical analysis found that there was a significant difference between surface types for the sway area (p = 0.0268), but there was no difference for the sway path and velocity. These results call for further research to be conducted on the impact of surface types and the use of the Lockhart Monitor as a sideline concussion assessment tool with larger sample sizes and improved methodologies.
ContributorsDeacon, Kyle (Author) / McDonald, Mark (Co-author) / Lockhart, Thurmon (Thesis director) / Stabenfeldt, Sarah (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2023-05

Sideline Concussion Assessment Methods and the Lockhart Monitor App: Assessing the Impact of Common Athletic Playing Surfaces

Description

Current sideline concussion assessment tools are inaccurate and biased leading to undiagnosed concussions and possibly a second, more severe concussion. This study evaluated the effects of different surface types on postural stability using the Lockhart Monitor iPhone application in order to validate its potential use as a data-driven sideline concussion…

Current sideline concussion assessment tools are inaccurate and biased leading to undiagnosed concussions and possibly a second, more severe concussion. This study evaluated the effects of different surface types on postural stability using the Lockhart Monitor iPhone application in order to validate its potential use as a data-driven sideline concussion assessment tool. Participants had three components of their postural sway recorded in 30 and 60-second trials on three different surface types, tile, turf, and natural grass, with eyes open and closed. The statistical analysis found that there was a significant difference between surface types for the sway area (p = 0.0268), but there was no difference for the sway path and velocity. These results call for further research to be conducted on the impact of surface types and the use of the Lockhart Monitor as a sideline concussion assessment tool with larger sample sizes and improved methodologies.
ContributorsMcDonald, Mark (Author) / Deacon, Kyle (Co-author) / Lockhart, Thurmon (Thesis director) / Stabenfeldt, Sarah (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2023-05