Byeong-Yeul Lee1, Jeffrey M. Solomon2, Marcelo Castro1, Dong-Yun Kim3, Joseph Laux1, Matthew G. Lackemeyer1, Jordan K. Bohannon4, Anna N. Hanko5, Dima Hammoud6,7, and Ji Hyun Lee1
1Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Frederick, MD, United States, 2Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD, United States, 3Office of Biostatistics Research, National Heart, Lung and Blood Institute, Bethesda, MD, United States, 4National Biodefense Analysis and Countermeasures Center, Frederick, MD, United States, 5Microbiology, Boston University School of Medicine, Boston, MA, United States, 6Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 7Center for Infectious Disease Imaging, National Institutes of Health, Bethesda, MD, United States
Synopsis
We performed a quantitative neuroimaging
study to determine central nervous system involvement following exposure with
Ebola virus (EBOV) variant Makona via the aerosolized route in a rhesus monkey model.
Using MR relaxometry, we found increases in T1 and R2* values in multiple brain
regions. Notably, R2* changes corresponding to the deep cerebral venous system highly
correlated with viral loads in CSF. These results provide in vivo
evidence of brain involvement with EBOV and emphasize the potential of advanced
imaging techniques to better understand the pathophysiology of organ
involvement in various infectious diseases, including the brain.
Introduction
Ebola virus disease (EVD) is a severe and often lethal
disease caused by Ebola virus (EBOV) 1. Despite reports of
headaches, cognitive impairment, hypoactivity or hyperactivity in EVD patients 2,
there is little in vivo neuroimaging evidence to support central nervous
system (CNS) involvement. Characterization of CNS pathophysiology in the
setting of EBOV infection is necessary to better understand the long term sequelae
of the infection in survivors. Using quantitative T1 and R2* relaxometry techniques,
we evaluated brain changes in a small-particle aerosol nonhuman primate model
of EVD. Quantitative Imaging findings were then correlated with plasma, brain tissue, and cerebral spinal fluid (CSF) viral
load.Methods
Magnetic resonance (MR) imaging was performed on an
Achieva 3.0T clinical MR scanner (Philips Healthcare, Cleveland, OH, USA)
equipped with an 8-channel pediatric neuro-spine coil. A total of seven rhesus macaques
(6.93±3.78 yr; two males, five females) were studied. All animals were exposed
via small-particle aerosol to an EBOV Makona variant (particle size range 0.5–3.0 µm,
averaged inhaled dose 1,150 plaque-forming units). Subjects were intubated,
immobilized using isoflurane, and positioned supine on the scanner bed. For
quantitative assessment of the acute viral effect on MR signal changes, MR images
were obtained prior to and 8-9 days following exposure. Plasma, brain tissue, and
CSF viral loads were measured using real-time reverse transcription polymerase
chain reaction (RT-qPCR).
Image Acquisition
T1-weighted (T1w) anatomical whole-brain images were
acquired using a magnetization‑prepared rapid gradient echo (MP-RAGE) sequence
(Repetition time (TR) = 9.8 ms, echo time (TE) = 4.7 ms, Inversion
time (TI) = 1,100 ms, flip angle (FA) = 8°, resolution = isotropic 0.5 mm, 2 average,
field-of-view (FOV) = 96 mm x 96 mm x 68 mm, and acquisition time = 4.5 min). For
T1 measurement, a fast field echo (FFE) sequence with a dual-flip-angle method 3
was performed (TR/TE = 27 ms/3.4 ms, FA 1/FA 2 = 5°/27°, resolution = isotropic
0.5 mm, 1 average, 136 slices, acquisition time = 12 min). For R2* measurement,
T1w FFE sequence was performed (TR/TE = 27 ms/34 ms, FA = 5°, resolution
= isotropic 0.5 mm, 1 average, and acquisition time = 6 min), and principles
of echo shifting with R2* (PRES R2*) in combination with T1 imaging data
(FA=5°) was used to create R2* maps.
Image Processing and Statistical Analysis
For the quantitative analysis, all MR images were
processed using an in-house built pipeline, comprising non-linear image
registration to an INIA19 template, skull stripping, Gaussian smoothing (1.5 mm
full width at half maximum (FWHM)), and voxel-based statistical analysis within
a general linear model. A paired t-test was applied for group differences
between pre-and post-EBOV exposure and the false discovery rate was applied for
correcting multiple comparisons. A statistical significance was considered at p
< 0.05. Finally, Pearson correlation (r) was used to examine the relationship
between quantitative MR results and viral RNA load.Results
Comparison of the averaged pre-exposure and post-exposure T1
maps (n = 7) (Fig. 1) showed increasing T1 values in multiple brain regions,
including the cerebellum, occipital lobe, and frontal cortex, which was
confirmed by voxel-based whole-brain analysis (p < 0.005, Fig. 2). The
averaged R2* maps (n = 7) showed increased values post-exposure compared to
pre-exposure (Fig. 3). Voxel-based R2* analysis displayed a widespread increase
in R2* values (Fig. 4), including gray matter, white matter, and ventricles. Viral
RNA was detected in brain tissue samples, CSF, and plasma (Fig 5). R2* changes overlapping
the central venous system were positively correlated with the viral load in CSF
(r = 0.79, p = 0.018, Fig. 5).Discussion and Conclusion
We demonstrated acute alterations of quantitative T1 and
R2* values in rhesus macaque brain 8–9 days after small-particle aerosol exposure
to EBOV. Several pathological EVD features may cause a change in brain tissue characteristics,
contributing to T1 and R2* changes. Pathological features contributing to the T1
changes may include endothelial injury and edema induced by EBOV infection 4.
The significant R2* elevation after infection may reflect the altered microenvironment
in the brain tissue, such as accumulation of iron-containing although it’s more
likely those changes are due to venous congestion (data not shown here). In
line with the increased viral
load in brain tissue samples, CSF, and plasma, a significant correlation
between the central venous R2* changes and the CSF viral load reinforces in
vivo imaging evidence of CSF involvement proportional to disease severity. Taken
together, these results present evidence of CNS involvement in EBOV infection
and provide new insights into the pathogenesis of aerosol-induced EBOV disease.Acknowledgements
The authors thank David Thomasson and Margaret Lentz and the
Integrated Research Facility at Fort Detrick (IRF-Frederick) team for their
support. With the U.S. National Institute of Allergy and Infectious Diseases
(NIAID), this work was supported in part through the prime contract of Laulima
Government Solutions, LLC, under contract (HHSN272201800013C), Tunnell
Government Services, a subcontractor of Laulima Government Solutions, LLC under
contract (HHSN272201800013C), and Battelle Memorial Institute’s former prime
contract under contract (HHSN272200700016I). This work was further supported in
part by federal funds from the National Cancer Institute and National
Institutes of Health (NIH) under contract (75N91019D00024, Task Order no.
75N91019F00130). The content of this publication does not necessarily reflect
the views or policies of the U.S. Department of Health and Human Services or of
the institutions and companies affiliated with the authors, nor does mention of
trade names, commercial products, or organizations imply endorsement by the
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