Irene Margaret Vavasour1, Jackie T Yik2,3, Pierre Becquart4, Jasmine Gill4, Shannon H Kolind1,2,3,5, Alice J Schabas5, Ana-Luiza Sayao5, Virginia Devonshire5, Robert Carruthers5, Anthony Traboulsee5, GR Wayne Moore3,4,5, Sophie Stukas4, Cheryl Wellington4, Jacqueline Quandt4, David KB Li1, and Cornelia Laule1,2,3,4
1Radiology, University of British Columbia, Vancouver, BC, Canada, 2Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 3International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC, Canada, 4Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 5Medicine, University of British Columbia, Vancouver, BC, Canada
Synopsis
We characterized the frequency of diffusely
abnormal white matter (DAWM) in a broad cohort of multiple sclerosis (MS)
participants. 35% of clinically isolated syndrome (CIS) and ~60% of MS participants
had DAWM. CIS with DAWM had smaller cortical thickness, higher lesion load and
higher concentration of neurofilament light chain compared to CIS without DAWM.
DAWM may be useful in identifying brains at risk of injury but only in the CIS
population when lesion load is low. Longitudinal studies are warranted.
Introduction
Multiple sclerosis (MS) is characterised by focal areas of
demyelination within the CNS termed lesions. In some brains, diffuse areas of
increased signal on proton density (PD) and T2-weighted images may
be visible – this phenomena is known as diffusely abnormal white matter
(DAWM, Figure 1).1,2 DAWM has ill-defined borders and similar
signal intensity to grey matter on PD/T2 scans, but is found within
white matter -- predominantly periventricular regions and the centrum
semiovale.3 Pathologic examination of DAWM in MS demonstrates blood-brain
barrier breakdown,4 extensive loss of myelin phospholipids, and variable
degrees of axonal loss.5 The degree of these changes is intermediate
to those found in normal appearing white matter and MS plaques.6
While histology studies
of DAWM describe specific tissue changes, post-mortem work typically only captures
information from the very end-stages of disease. Blood-based biomarkers may be
able to provide information about disease processes along the course of MS
development. One such candidate biomarker is neurofilament light chain (NfL), a
neuraxonal-specific protein7 which is increased in the blood after
CNS tissue damage.8 NfL has not been studied in MS participants with
(DAWM+) and without (DAWM–) DAWM, and the frequency of DAWM, alongside the MR
volumetrics in DAWM+/– brains have not been well documented.Objectives
We examined the frequency of DAWM in a broad cohort of MS participants. Brain, lesion and grey
matter volume, cortical thickness and NfL were compared between participants
with and without DAWM.Methods
Subjects
and MR Experiments: 83 participants with clinically isolated
syndrome (n=20), relapsing remitting MS (RRMS, n=33) and secondary progressive
MS (SPMS, n=30) were scanned at 3T (Philips Achieva, demographics in Figure 2). Sequences included PD/T2-weighted (TR/TE1/TE2=2900/8.42/80ms, 1x1x3mm3),
and 3DT1-MPRAGE (TR/TE/TI=3000/3.5/926ms,
1x1x1mm3). The CIS/MS participants had blood collected on the same day as MR experiments.
Blood from 35 healthy age and sex-matched controls was also collected.
Data
Analysis: Two experienced MRI researchers working independently identified
DAWM on PD and T2-weighted scans as regions of white matter that were
iso-intense to grey matter, present on at least two consecutive scan slices,
and >10mm in diameter. A senior radiologist reviewed scans with DAWM
identification disagreement and a final determination was obtained by
consensus.
Normalised brain
volume was calculated using in-house software.9 Cortical thickness
was determined with ANTs.10 Thalamic and deep grey matter (GM,
caudate + putamen + thalamus + pallidum) volumes were calculated with FIRST.11
Lesions were automatically segmented using seed points.12 Serum NfL
was quantified by single molecule array (SIMOA) technology (Quanterix). For
NfL, controls were subdivided so that age and sex were matched to each CIS/MS
subtype. A percentage difference between each participant and their matched
control was calculated to account for age and sex effects in NfL. Measurements were compared using t-tests (p<0.05) for this
exploratory study.Results
35% of CIS and ~60% of MS participants had DAWM (Figure 2). DAWM+
CIS had smaller cortical thickness (p=0.006), higher lesion load (p=0.001) and higher
NfL (p=0.002) compared to DAWM– CIS (Figure 3 and 4). DAWM+ SPMS participants
showed the opposite trend with larger normalised brain (p=0.001) and grey matter volumes
(p=0.05), and larger cortical thickness (p=0.04) (Figure 3 and 4). No
significant differences were found between RRMS with and without DAWM. RRMS and SPMS NfL was
similar between DAWM+ and DAWM– (Figure 3 and 4).Discussion
DAWM was observed after a single
demyelinating event in approximately one third of CIS participants, in line
with a previous study where 27% of CIS participants had DAWM.13
57-64% of clinically definite MS participants demonstrated DAWM, much higher than
previous reports of ~25% at 1.5T.1 Our use of 3T MRI likely resulted in better detection of subtle signal
changes in the white matter and a higher reporting of DAWM.
DAWM+ CIS participants had a higher lesion load than DAWM– CIS, but overall
CIS lesion volume was much smaller than RRMS and SPMS. In MS, lesions may obscure
the identification of DAWM, resulting in the trend of higher lesion load in
DAWM– RRMS and SPMS participants.
The increased NfL in DAWM+
CIS suggest there may be injury in these areas leading to other negative brain
health markers (i.e. smaller cortical thickness, more lesions). In SPMS,
the DAWM– participants had more lesions and smaller brain and grey matter volumes,
Different mechanism of injury in SPMS and CIS may be underlying these
observations. In CIS, DAWM could be areas of inflammation which cause some of
the early injury in the disease. In SPMS, neurodegeneration becomes the
dominant mechanism of injury; the inflammation within DAWM may no longer be as important or DAWM+
status may paradoxically indicate less overall tissue loss because it is more
evident with smaller lesion volume. Abnormalities in myelin
phospholipids demonstrated by histology6 could indicate that DAWM identifies
a unique subgroup of patients with MS with an inherent defect in myelin. This
potentially makes their white matter more vulnerable to inflammation. Conclusion
This is the first report examining NfL in CIS and MS participants with
and without DAWM. DAWM may be useful in identifying brains at risk of injury but
only in the CIS population when lesion load is low. Longitudinal studies are
warranted.Acknowledgements
We sincerely thank all study participants, the staff at the UBC MS clinic and the MR technologists at the University of British Columbia MRI Research Centre. This work was funded by the Multiple Sclerosis Society of Canada. References
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