50 research outputs found

    Understanding progression in primary progressive multiple sclerosis: a longitudinal clinical and magnetic resonance imaging study

    Get PDF
    The work in this thesis applies magnetization transfer imaging (MTI) and conventional MRI measures (brain volume, T2 lesion load and enhancing lesions) to investigate the mechanisms underlying progression in primary progressive multiple sclerosis (PPMS), and identifies MR markers to predict and monitor progression. First, we demonstrated that MTI was sensitive to change in the normal appearing brain tissues over one year, and that clinical progression over this period was predicted by baseline normal appearing white matter (NAWM) MT ratio (MTR). However, our second study showed that over three years, grey matter MTR became a better predictor of progression than any other MRI measure. Grey matter MTR and T2 lesion load changes reflected concurrent progression during this study. To localize the baseline grey matter injury more precisely, we developed a voxelbased technique to identify areas of grey matter MTR reduction and volume loss in patients compared with controls. The regions of grey matter MTR reduction identified correlated with clinical function in anatomically related systems. Finally, because our studies showed that lesion load influenced progression, we used contrast enhanced T1-weighted imaging to examine active focal inflammation. We found that while lesion activity declined over five years, levels of activity at the start of the study could influence mobility five years later. The work presented in this thesis suggests that grey matter damage has a predilection for certain brain regions and is an important determinant of progression in early PPMS. In the white matter, changes in lesion volume and activity continue to influence progression, but NAWM injury may have a declining role. MTR is a sensitive and responsive tool for predicting, monitoring, and localizing clinically relevant brain injury in early PPMS

    Prevalence of Grey Matter Pathology in Early Multiple Sclerosis Assessed by Magnetization Transfer Ratio Imaging

    Get PDF
    The aim of the study was to assess the prevalence, the distribution and the impact on disability of grey matter (GM) pathology in early multiple sclerosis. Eighty-eight patients with a clinically isolated syndrome with a high risk developing multiple sclerosis were included in the study. Forty-four healthy controls constituted the normative population. An optimized statistical mapping analysis was performed to compare each subject's GM Magnetization Transfer Ratio (MTR) imaging maps with those of the whole group of controls. The statistical threshold of significant GM MTR decrease was determined as the maximum p value (p<0.05 FDR) for which no significant cluster survived when comparing each control to the whole control population. Using this threshold, 51% of patients showed GM abnormalities compared to controls. Locally, 37% of patients presented abnormalities inside the limbic cortex, 34% in the temporal cortex, 32% in the deep grey matter, 30% in the cerebellum, 30% in the frontal cortex, 26% in the occipital cortex and 19% in the parietal cortex. Stepwise regression analysis evidenced significant association (p = 0.002) between EDSS and both GM pathology (p = 0.028) and T2 white matter lesions load (p = 0.019). In the present study, we evidenced that individual analysis of GM MTR map allowed demonstrating that GM pathology is highly heterogeneous across patients at the early stage of MS and partly underlies irreversible disability

    Subcutaneous cladribine to treat multiple sclerosis : experience in 208 patients

    Get PDF
    Objective: To report on safety and effectiveness of subcutaneous cladribine (Litak®) in multiple sclerosis (MS) patients. Methods: Litak® was offered to MS-patients irrespective of disease course. Litak® 10 mg was administered for 3–4 days during week 1. Based on lymphocyte count at week 4, patients received another 0–3 doses at week 5. A second course was administered 11 months later. Follow-up included adverse events, relapses, expanded disability status scale (EDSS), 9-hole-peg and Timed-25-foot-walking tests, no-evidence-of-disease-activity (NEDA), no-evidence-of-progression-or-active-disease (NEPAD), MRI, cerebrospinal fluid (CSF) neurofilament light chain (NfL), and lymphocyte counts. Results: In all, 208 patients received at least one course of treatment. Age at baseline was 44 (17–72) years and EDSS 0–8.5. Cladribine was generally well tolerated. One myocardial infarction, one breast cancer, and three severe skin reactions occurred without long-term sequelae. Two patients died (one pneumonia, one encephalitis). Lymphopenia grade 3 occurred in 5% and grade 4 in 0.5%. In 94 out of 116 pwMS with baseline and follow-up (BaFU) data after two treatment courses, EDSS remained stable or improved. At 18 months, 64% of patients with relapsing MS and BaFU data (n = 39) had NEDA. At 19 months, 62% of patients with progressive MS and BaFU data (n = 13) had NEPAD. Of n = 13 patients whose CSF-NfL at baseline was elevated, 77% were normalised within 12 months. Conclusions: Litak® was well tolerated. Effectiveness in relapsing MS appeared similar to cladribine tablets and was encouraging in progressive MS. Our data suggest cladribine may be safe and effective in MS-patients irrespective of their disease stage

    Albumin and multiple sclerosis

    Get PDF
    A grant from the One-University Open Access Fund at the University of Kansas was used to defray the author's publication fees in this Open Access journal. The Open Access Fund, administered by librarians from the KU, KU Law, and KUMC libraries, is made possible by contributions from the offices of KU Provost, KU Vice Chancellor for Research & Graduate Studies, and KUMC Vice Chancellor for Research. For more information about the Open Access Fund, please see http://library.kumc.edu/authors-fund.xml.Leakage of the blood–brain barrier (BBB) is a common pathological feature in multiple sclerosis (MS). Following a breach of the BBB, albumin, the most abundant protein in plasma, gains access to CNS tissue where it is exposed to an inflammatory milieu and tissue damage, e.g., demyelination. Once in the CNS, albumin can participate in protective mechanisms. For example, due to its high concentration and molecular properties, albumin becomes a target for oxidation and nitration reactions. Furthermore, albumin binds metals and heme thereby limiting their ability to produce reactive oxygen and reactive nitrogen species. Albumin also has the potential to worsen disease. Similar to pathogenic processes that occur during epilepsy, extravasated albumin could induce the expression of proinflammatory cytokines and affect the ability of astrocytes to maintain potassium homeostasis thereby possibly making neurons more vulnerable to glutamate exicitotoxicity, which is thought to be a pathogenic mechanism in MS. The albumin quotient, albumin in cerebrospinal fluid (CSF)/albumin in serum, is used as a measure of blood-CSF barrier dysfunction in MS, but it may be inaccurate since albumin levels in the CSF can be influenced by multiple factors including: 1) albumin becomes proteolytically cleaved during disease, 2) extravasated albumin is taken up by macrophages, microglia, and astrocytes, and 3) the location of BBB damage affects the entry of extravasated albumin into ventricular CSF. A discussion of the roles that albumin performs during MS is put forth

    Clinical correlates of grey matter pathology in multiple sclerosis

    Get PDF
    Traditionally, multiple sclerosis has been viewed as a disease predominantly affecting white matter. However, this view has lately been subject to numerous changes, as new evidence of anatomical and histological changes as well as of molecular targets within the grey matter has arisen. This advance was driven mainly by novel imaging techniques, however, these have not yet been implemented in routine clinical practice. The changes in the grey matter are related to physical and cognitive disability seen in individuals with multiple sclerosis. Furthermore, damage to several grey matter structures can be associated with impairment of specific functions. Therefore, we conclude that grey matter damage - global and regional - has the potential to become a marker of disease activity, complementary to the currently used magnetic resonance markers (global brain atrophy and T2 hyperintense lesions). Furthermore, it may improve the prediction of the future disease course and response to therapy in individual patients and may also become a reliable additional surrogate marker of treatment effect

    Understanding progression in primary progressive multiple sclerosis: a longitudinal clinical and magnetic resonance imaging study.

    No full text
    The work in this thesis applies magnetization transfer imaging (MTI) and conventional MRI measures (brain volume, T2 lesion load and enhancing lesions) to investigate the mechanisms underlying progression in primary progressive multiple sclerosis (PPMS), and identifies MR markers to predict and monitor progression. First, we demonstrated that MTI was sensitive to change in the normal appearing brain tissues over one year, and that clinical progression over this period was predicted by baseline normal appearing white matter (NAWM) MT ratio (MTR). However, our second study showed that over three years, grey matter MTR became a better predictor of progression than any other MRI measure. Grey matter MTR and T2 lesion load changes reflected concurrent progression during this study. To localize the baseline grey matter injury more precisely, we developed a voxelbased technique to identify areas of grey matter MTR reduction and volume loss in patients compared with controls. The regions of grey matter MTR reduction identified correlated with clinical function in anatomically related systems. Finally, because our studies showed that lesion load influenced progression, we used contrast enhanced T1-weighted imaging to examine active focal inflammation. We found that while lesion activity declined over five years, levels of activity at the start of the study could influence mobility five years later. The work presented in this thesis suggests that grey matter damage has a predilection for certain brain regions and is an important determinant of progression in early PPMS. In the white matter, changes in lesion volume and activity continue to influence progression, but NAWM injury may have a declining role. MTR is a sensitive and responsive tool for predicting, monitoring, and localizing clinically relevant brain injury in early PPMS.

    Early imaging predicts later cognitive impairment in primary progressive multiple sclerosis.

    No full text
    Background: Cognitive impairment in primary progressive multiple sclerosis (PPMS) is common and correlates modestly with contemporary lesion burden and brain volume. Using a cohort/case control methodology, we explore the ability of MRI abnormalities, including those in the normal-appearing brain tissue, to predict future cognitive dysfunction in PPMS. Methods: Thirty-one patients recruited into a longitudinal study within 5 years of onset of PPMS were assessed neuropsychologically on average 5.5 years later along with 31 matched healthy controls. MRI data obtained at entry into the study (lesion metrics, brain volumes, magnetization transfer ratio histogram metrics, and magnetic resonance spectroscopy metabolite concentrations) were used to predict cognitive impairment at follow-up. Results: Twenty-nine percent of patients were categorized as cognitively impaired. T2 lesion volume was the best MRI predictor of overall cognitive function and performance on tests of verbal memory and attention/speed of information processing. Low gray matter magnetization transfer ratio was the best predictor of poor performance on a further test of attention/speed of information processing and an executive function test. Low gray and white matter volumes were independent predictors of poor performance on a second test of executive function. Conclusions: MRI abnormalities observed in early primary progressive multiple sclerosis can predict cognitive impairment 5 years later. While focal damage disrupting white matter tracts appears to be the most important predictor of subsequent cognitive dysfunction, gray matter pathology also plays a role

    Complementary roles of grey matter MTR and T2 lesions in predicting progression in early PPMS.

    No full text
    OBJECTIVE: To investigate whether T2 lesion load and magnetisation transfer ratio (MTR) in the normal-appearing white matter (NAWM) and grey matter (GM) at study entry are independent predictors of progression and whether their changes correlate with the accrual of disability, over 5 years in early primary progressive multiple sclerosis (PPMS). METHODS: Forty-seven patients with early PPMS and 18 healthy controls were recruited at baseline and invited to attend clinical 6-monthly assessments for 3 years, and after 5 years. Patients were scored on the Expanded Disability Status Scale and multiple sclerosis functional composite subtests (25-foot timed walk test (TWT), nine-hole peg test and paced auditory serial addition test). At each time point, all subjects underwent brain MRI including T2-weighted, magnetisation transfer and volumetric sequences. T2 lesion load (T2LL), MTR histogram parameters and volumes for NAWM and GM were calculated. Statistical analyses identified predictors of progression and correlations between MRI changes and clinical changes over time. RESULTS: Baseline T2LL and GM peak location and peak height MTR were independent predictors of progression, as measured by TWT; a model including these three predictors explained 91% of the variance of the progression on TWT, a significantly higher percentage than that obtained when the predictors were modelled individually (80%, 74% and 68%, respectively). A greater progression rate correlated with a steeper increase in T2LL and a faster decline in GM mean and peak location MTR. CONCLUSIONS: The combined assessment of both visible white matter damage and GM involvement is useful in predicting progression in PPMS
    corecore