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maximum speed of coordinated walking and decrease in rear stance
and stride length indicating enhanced balance, coordination and
plantar placement in animals treated with salubrinal. This improved
functional recovery in CHOP
-/-
- and salubrinal-treated mice correlated
with an increase in white matter sparing, MBP, claudin 11, Olig2
mRNA levels and decreased oligodendrocyte apoptosis. In contrast,
genetic ablation of GADD34 (a stress-inducible signaling effector
downstream of CHOP that dephosphorylates eIF2
a
) or its pharma-
cological targeting using guanabenz protected mOPCs against ER
stress-mediated cytotoxicity and resulted in differential ERSR atten-
uation after SCI, but there was no improvement in hindlimb locomotor
function. Deletion of ATF6 arm of the ERSR failed to improve lo-
comotion after SCI. Thus, the ERSR contributes to oligodendrocyte
loss and implicates the critical role of homeostatic arm of the ERSR
after SCI. We contend that pharmacological targeting of the ERSR
after CNS trauma is therapeutically viable.
Keywords: ER stress, oligodendrocytes, spinal cord injury, white
matter sparing
PL07 Facilitating Transparency in Data Analysis for
TBI and SCI Research
PL07-01
INTRODUCTION ABOUT BIG AND SMALL DATA IN TBI
AND SCI
Denes Agoston
Uniformed Services University, APG, Bethesda, USA
Vast amount and highly heterogeneous data describing various aspects
of Spinal Cord Injury (SCI) and Traumatic Brain Injury (TBI) have
been generated over the last several decades and growing every day.
However the next step, generating knowledge from existing data has
been hindered by different issues including various heterogeneities,
such as differences in outcome measures, data formats, etc. In addi-
tion, we currently do not have the ability to analyze and interpret our
new data in the context of existing data. The current gap between
clinical and experimental outcome measures, time points, etc. also
needs to be addressed. The proposed session is aimed to discuss some
of these critical issues.
Keywords: data transparency
PL07-02
TOWARDS A ROADMAP FOR TRANSLATION OF CANDI-
DATE TREATMENTS FOR SPINAL CORD INJURY
Wolfram Tetzlaff
University of British Columbia, ICORD, International Collaboration
on Repair Discoveries, Vancouver, Canada
A roadmap for the translation of candidate treatments for spinal cord
injury does not exist, effective treatments for human SCI are still
lacking, and clinical trials have been initiated with variable amounts
of preclinical supporting data. Over the past years we attempted to
garner the opinions of researchers, clinicians and consumers regarding
the necessary/desirable preclinical data required to justify the execu-
tion of a clinical trial – including our most recent opinion polling and
discussion on the need of large animals and primate data. Excerpts of
these discussions will be presented.
Keywords: translational roadmap, opinion polling, preclinical evidence
PL07-03
PRECLINICAL TRAUMATIC BRAIN INJURY COMMON
DATA ELEMENTS: TOWARDS A COMMON LANGUAGE
ACROSS LABORATORIES
Douglas H. Smith
1
, Ramona R. Hicks
2,3
, Victoria E. Johnson
1
, Diana
M. Cummings
2
, Debra A. Bergstrom
2
, Linda J. Noble
4
, David Hovda
5
,
Michael Whalen
6
, Stephen T. Ahlers
7
, Michelle LaPlaca
8
, Frank C.
Tortella
9
, Ann-Christine Duhaime
10
, C. Edward Dixon
11
1
Univ. of Pennsylvania, Dept. of Neurosurgery, Philadelphia, USA
2
National Institutes of Health, National Institute of Neurological
Disorders and Stroke, Bethesda, USA
3
One Mind, Leadership Team, Seattle, USA
4
Univ. of California, San Francisco, Department of Neurological
Surgery, San Francisco, USA
5
Univ. of California, Los Angeles, Neurosurgery, Los Angeles, USA
6
Massachusetts General Hospital, Neuroscience Center, Charlestown,
USA
7
Naval Medical Research Center, Operational & Undersea Medicine,
Silverspring, USA
8
Georgia Tech and Emory University, Biomedical Engineering,
Atlanta, USA
9
Walter Reed Army Institute of Research, Brain Trauma Neuropro-
tection and Neurorestoration, Silver Spring, USA
10
Harvard Medical School, Department of Neurosurgery, Boston,
USA
11
Univ. of Pittsburgh, Department of Neurological Surgery, Pittsburg,
USA
Traumatic brain injury (TBI) is a major public health issue exacting a
substantial personal and economic burden globally. With the advent of
‘‘big data’’ approaches to understanding complex systems, there is the
potential to greatly accelerate knowledge about mechanisms of injury, and
how to detect and modify them to improve patient outcomes. High quality,
well-defined data are critical to the success of bioinformatics platforms and
a data dictionary of ‘‘common data elements’’ (CDEs), as well as ‘‘unique
data elements’’ has been created for clinical TBI research. However, there
is no data dictionary for preclinical TBI research despite similar oppor-
tunities to accelerate knowledge. To address this gap, a committee of
experts was tasked with creating a defined set of data elements to further
collaboration across laboratories and enable the merging of data for meta-
analysis. The CDEs were subdivided into a
Core
module for data elements
relevant to most, if not all, studies, and
Injury-Model-Specific
modules for
non-generalizable data elements. The goals are to provide a common
vehicle to deposit data from the preclinical TBI as CDEs and to facilitate a
common language for comparisons across laboratories.
Keywords: Modeling
PL07-04
FACILITATING REPRODUCIBILITY AND DATA IN-
TEGRATION FOR SCI RESEARCH WITH MIASCI AND RE-
GENBASE
Vance Lemmon
1
, Alison Callahan
2
, Saminda Abeyruwan
3
, Adam
Ferguson
4
, Phillip Popovich
5
, Ubbo Visser
3
, John Bixby
1
1
Univ. of Miami, Miami Project for Cure Paralysis, Miami, USA
2
Stanford Univ., Stanford Center for Biomedical Informatics Re-
search, Stanford, USA
3
Univ. of Miami, Department of Computer Science, Coral Gables, USA
4
Univ. of Calif., San Francisco, Brain and Spinal Injury Center
(BASIC), Department of Neurological Surgery, San Francisco, USA
5
The Ohio State Univ., Center for Brain and Spinal Cord Repair and
the Department of Neuroscience, Columbus, USA
A-135