Clinical Trial Details
— Status: Enrolling by invitation
Administrative data
NCT number |
NCT05201833 |
Other study ID # |
834982 |
Secondary ID |
U01NS114140 |
Status |
Enrolling by invitation |
Phase |
|
First received |
|
Last updated |
|
Start date |
March 1, 2022 |
Est. completion date |
February 28, 2027 |
Study information
Verified date |
June 2023 |
Source |
University of Pennsylvania |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The overarching goal of this study is to improve understanding of the long-range natural
history of TBI by extending follow-up of a previously enrolled cohort (TRACK-TBI) beyond the
first 12 months after injury.
Description:
This longitudinal observational study is part of the Transforming Research and Clinical
Knowledge in Traumatic Brain Injury (TRACK-TBI) initiative, a multi-institutional project
designed to characterize the acute and longer-term clinical, neuroimaging, and blood
biomarker features of TBI. TRACK-TBI enrolled TBI patients at 18 Level 1 Trauma Centers in
the US, across the age and injury spectrum. This study will extend the follow-up period for
TRACK-TBI participants. The extensive clinical, imaging, and biomarker data that has already
been collected in these TRACK-TBI participants, in combination with the extended longitudinal
data, will allow for the identification of risk factors, co-morbidities, and prognostic
biomarkers of TBI. Consequently, the extension of study follow-up will help to determine
negative neurological and psychological outcomes of individuals who experienced a TBI
compared to healthy and orthopedic controls.
TBI is a complex disease process, in which diverse injury subtypes and multiple molecular
mechanisms overlap. There is a need to identify and measure these subtypes, in order to
develop precision medicine approaches where specific pathobiological processes are targeted
by mechanistically appropriate therapies. The absence of validated biomarkers in the
neurotrauma field is a barrier to drug development in this area, and there are currently no
disease-modifying therapies that limit the burden of TBI. Biomarkers specific for injury
mechanisms should be identified to select participants for clinical trials of targeted
therapies (prognostic biomarkers), as well as to confirm target engagement and biological
efficacy (pharmacodynamic biomarkers).
Traumatic axonal injury (TAI) is a common pathologic consequence of TBI, and underlies some
of the most disabling consequences of injury, including cognitive and affective problems. TAI
progresses for years after injury in a subset of patients, and is a key mechanism for
long-term neurodegeneration after TBI. Recent breakthroughs in pre-clinical models indicate
that novel therapeutic interventions, including strategies such as targeting the
mitochondrial transition pore, or promoting axonal maintenance factors are effective in
promoting resilience of injured axons and improving neurologic outcome after experimental
TBI. Translation of such promising therapies into clinical trials will require prognostic
biomarkers that can measure TAI in individual patients, so they can be selected for early
phase studies of axon-protective therapies, as well pharmacodynamic biomarkers than can
measure the biologic efficacy of such treatments. Currently, the best biomarker for TAI is
fractional anisotropy (FA) and mean diffusivity (MD) of white matter tracts, measured using
diffusion tensor imaging (DTI) MRI. This technique, while robust, is poorly suited for
dynamic longitudinal assessments, and measures the end-result of axonal degeneration, rather
than an early step in the neurodegenerative process. Recently, the ability to assay axonal
proteins in peripheral blood has made it potentially feasible to assess of TAI rapidly,
inexpensively, and longitudinally. The axonal protein that holds the most promise as a
biomarker of axonal degeneration is neurofilament light chain (NF-L). This project aims to
address the gaps in the existing literature regarding specific biomarkers for injury
mechanisms and outcomes following TBI. Furthermore, it is likely that a sophisticated
understanding of the subtypes and molecular mechanisms of TBI will be required to
successfully develop therapies to treat these subtypes.