Cardiovascular autonomic failure in hereditary transthyretin amyloidosis and TTR carriers is an early and progressive disease marker.

BACKGROUND: The cardiomyopathic and neuropathic phenotype of hereditary transthyretin amyloidosis are well recognized. Cardiovascular autonomic dysfunction is less systematically and objectively assessed. METHODS: Autonomic and clinical features, quantitative cardiovascular autonomic function, and potential autonomic prognostic markers of disease progression were recorded in a cohort of individuals with hereditary transthyretin amyloidosis and in asymptomatic carriers of TTR variants at disease onset (T0) and at the time of the first quantitative autonomic assessment (T1). The severity of peripheral neuropathy and its progression was stratified with the polyneuropathy disability score. RESULTS: A total of 124 individuals were included (111 with a confirmed diagnosis of hereditary transthyretin amyloidosis, and 13 asymptomatic carriers of TTR variants). Symptoms of autonomic dysfunction were reported by 27% individuals at T0. Disease duration was 4.5 ± 4.0 years [mean ± standard deviation (SD)] at autonomic testing (T1). Symptoms of autonomic dysfunction were reported by 78% individuals at T1. Cardiovascular autonomic failure was detected by functional testing in 75% individuals and in 64% of TTR carriers. Progression rate from polyneuropathy disability stages I/II to III/IV seemed to be shorter for individuals with autonomic symptoms at onset [2.33 ± 0.56 versus 4.00 ± 0.69 years (mean ± SD)]. CONCLUSIONS: Cardiovascular autonomic dysfunction occurs early and frequently in individuals with hereditary transthyretin amyloidosis within 4.5 years from disease onset. Cardiovascular autonomic failure can be subclinical in individuals and asymptomatic carriers, and only detected with autonomic function testing, which should be considered a potential biomarker for early diagnosis and disease progression.

Multimodal Biomarkers Quantify Recovery in Autoimmune Autonomic Ganglionopathy.

OBJECTIVE: The objective of this study was to evaluate patients with ganglionic acetylcholine receptor antibody (gAChR-Ab) positive autoimmune autonomic ganglionopathy using a multimodal testing protocol to characterize their full clinical phenotype and explore biomarkers to quantify immunotherapy response. METHODS: We conducted a cohort study of 13 individuals (7 women, 21-69 years of age) with autonomic failure and gAChR-Ab >100 pM identified between 2005 and 2019. From 2018, all patients were longitudinally assessed with cardiovascular, pupillary, urinary, sudomotor, lacrimal and salivary testing, and Composite Autonomic Symptom Score (COMPASS-31) autonomic symptom questionnaires. The orthostatic intolerance ratio was calculated by dividing change in systolic blood pressure over time tolerated on head-up tilt. Eleven patients received immunotherapy. RESULTS: At first assessment, all 13 patients had cardiovascular and pupillary impairments, 7 of 8 had postganglionic sudomotor dysfunction, 9 of 11 had urinary retention and xeropthalmia, and 6 of 8 had xerostomia. After immunotherapy, there were significant improvements in orthostatic intolerance ratio (33.3 [17.8-61.3] to 5.2 [1.4-8.2], p = 0.007), heart rate response to deep breathing (1.5 [0.0-3.3] to 4.5 [3.0-6.3], p = 0.02), pupillary constriction to light (12.0 [5.5-18.0] to 19.0 [10.6-23.8]%, p = 0.02), saliva production (0.01 [0.01-0.05] to 0.08 [0.02-0.20] g/min, p = 0.03), and COMPASS-31 scores (52 to 17, p = 0.03). Orthostatic intolerance ratio correlated with autonomic symptoms at baseline (r = 0.841, p = 0.01) and following immunotherapy (r = 0.889, p = 0.02). Immunofluorescence analyses of skin samples from a patient 32 years after disease onset showed loss of nerve fibers supplying the dermal autonomic adnexa and epidermis, with clear improvements following immunotherapy. INTERPRETATION: Patients with autoimmune autonomic ganglionopathy demonstrated objective evidence of widespread sympathetic and parasympathetic autonomic failure, with significant improvements after immunotherapy. Quantitative autonomic biomarkers should be used to define initial deficits, guide therapeutic decisions, and document treatment response. ANN NEUROL 2021;89:753-768.

Regional gray matter atrophy in early primary progressive multiple sclerosis: a voxel-based morphometry study.

BACKGROUND: Gray matter (GM) atrophy has been reported in multiple sclerosis (MS). However, little is known about its regional distribution. OBJECTIVE: To investigate the regional distribution of GM atrophy in clinically early primary progressive MS (PPMS). DESIGN AND PATIENTS: Thirty-one patients with PPMS within 5 years of symptom onset (mean age, 43.2 years; median Expanded Disability Status Scale score, 4.5) and 15 healthy control subjects (mean age, 43.7 years) were studied. All subjects underwent a 3-dimensional inversion-recovery fast spoiled gradient-recalled echo sequence that was repeated after 1 year in patients only. Magnetic resonance images underwent an optimized voxel-based morphometric analysis that segments magnetic resonance data volumes in a normalized space and quantifies tissue atrophy on a voxel-by-voxel basis. A lesion mask was created for each patient and used in normalization and segmentation steps to minimize bias from lesions. A multisubject design was used in the cross-sectional study to compare patients with PPMS and controls. A 1-way analysis of variance (within-subjects) design was used in the longitudinal study. RESULTS: At baseline, patients with PPMS displayed bilateral thalamic atrophy compared with controls. In addition, a significant association between lesion load and decreased GM volume was found for the thalami. Loss of GM in the putamen, caudate, thalami, and cortical and infratentorial areas was observed in patients after 1 year of follow-up. CONCLUSIONS: Atrophy is most obvious in deep GM in clinically early PPMS. This may reflect increased sensitivity of these regions to neurodegeneration. Cortical and infratentorial atrophy developed as the disease evolved.

Plasma cerebrosterol and magnetic resonance imaging measures in multiple sclerosis.

OBJECTIVES: The concentration in plasma of the brain-specific cholesterol metabolite cerebrosterol has been proposed as a biomarker of neurodegeneration in multiple sclerosis (MS) and other neurological diseases. It is unknown, however, which pathophysiological process in MS best accounts for variations in plasma cerebrosterol. PATIENTS AND METHODS: In this study, we related plasma cerebrosterol concentrations in 46 MS patients - 27 with a relapsing-remitting (RR) disease course and 19 with a primary progressive (PP) course - to three conventional magnetic resonance imaging measures: on T(1)-weighted brain scans, volume of gadolinium-enhanced lesions (a marker of active inflammation) and hypointense lesions (a marker of edema or axonal loss) and on T(2)-weighted scans, volume of hyperintense lesions (a marker of disease extent). RESULTS: By multiple-regression analysis, we uncovered negative correlations between the cerebrosterol-cholesterol ratio in plasma and both age at sampling (beta=-0.35 and p=0.079 in RRMS; beta=-0.76 and p=0.006 in PPMS) and volume of T(2)-weighted lesions (beta=-0.52 and p=0.078 in RRMS; beta=-0.50 and p=0.247 in PPMS). CONCLUSION: We hypothesize that decreases in plasma cerebrosterol may reflect the total spatiotemporal burden of MS-the cumulative effects of its dissemination in space and its duration in time.

Grey and white matter volume changes in early primary progressive multiple sclerosis: a longitudinal study.

We have recently reported brain atrophy in the early stages of primary progressive multiple sclerosis (PPMS), affecting both grey and white matter (GM and WM). However, to date no clinical or radiological predictors of GM and WM atrophy have been identified. The aim was to investigate short-term changes in GM and WM volumes and to assess the predictive value of demographic, clinical and radiological variables in order to gain a better understanding of the pathological substrate underlying these changes. Thirty-one subjects with PPMS within 5 years of symptom onset were studied at baseline and after 1 year. At baseline, patients underwent neurological examination and were scored on the Expanded Disability Status Scale (EDSS) and Multiple Sclerosis Functional Composite. They had 3D inversion-prepared fast spoiled gradient recalled (FSPGR), dual-echo and triple-dose post-contrast T1-weighted spin echo MRI scans. Proton density and enhancing lesion loads were determined. The 3DFSPGR sequence was repeated after 1 year and brain volume changes were calculated using two techniques, SPM99 (statistical parametric mapping) and SIENA (structural image evaluation, using normalization, of atrophy). Stepwise linear regression models were applied to baseline variables to identify independent predictors of atrophy development. Using SPM99, a decrease in brain parenchymal fraction (-1.03%; P < 0.001) and GM fraction (-1.49%; P < 0.001) was observed. The number of enhancing lesions independently predicted decrease in brain parenchymal fraction (P = 0.019) and decrease in WM fraction (P = 0.002). No independent predictors of GM fraction decrease were found. A mean brain volume change of -0.63% (range -4.27% to +1.18%; P = 0.002) was observed using SIENA, which was independently predicted by EDSS (P = 0.004). Global and GM atrophy can be detected over a 1-year period in early PPMS. The former may be predicted by the degree of inflammation, while the latter seems to be independent of it. SIENA and SPM-based methods appear to provide complementary information.

Grey and white matter atrophy in early clinical stages of primary progressive multiple sclerosis.

BACKGROUND: There is little information available on grey and white matter (GM and WM) atrophy in primary progressive multiple sclerosis (PPMS) and on their relationships with clinical and other magnetic resonance imaging (MRI) measures. AIM: To evaluate disease progression in the early phase of PPMS, focusing on axonal loss as assessed by volumetric MRI measures of WM and GM, and to determine their relationships with clinical outcomes and lesion load measures. METHODS: Forty-three patients with PPMS within 5 years of symptom onset and 45 control subjects were studied. Three-dimensional brain scans were acquired and segmented into WM, GM, and cerebrospinal fluid (CSF) using SPM99. Brain parenchymal (BPF), WM (WMF), and GM fractions (GMF) normalized against total intracranial volumes were estimated. T2-weighted (T2) and enhancing lesion loads were also determined. Expanded Disability Status Scale (EDSS) and Multiple Sclerosis Functional Composite (MSFC) scores were recorded in all patients. RESULTS: There were significant differences between patients and controls in BPF, WMF, and GMF values (P < 0.001). BPF (r = -0.469; P = 0.002) and WMF (r = -0.532; P < 0.001) but not GMF (r = -0.195; P = 0.2) correlated with EDSS scores. BPF (r = 0.518; P = 0.001), WMF (r = 0.483; P = 0.001), and GMF (r = 0.337; P = 0.031) correlated with MSFC scores. Correlations with enhancing lesion and T2 loads were only significant for BPF and WMF. CONCLUSIONS: Brain atrophy is seen in the early stages of PPMS and affects both GM and WM. WM atrophy appears more closely related to clinical outcome and WM focal damage than GM atrophy in this patient group.

Magnetic resonance imaging in primary progressive multiple sclerosis.

Ten to fifteen percent of patients with multiple sclerosis (MS) have a condition that is progressive from onset without a preceding relapsing-remitting phase: this is known as primary progressive multiple sclerosis (PPMS). Patients with PPMS tend to be older, often present with motor symptoms and, in contrast to relapsing MS, are as likely to be male as female. The conventional magnetic resonance imaging (MRI) characteristics of PPMS include a tendency to lower lesion loads and lower rate of new lesion formation. In common with relapsing MS, the relation between conventional MRI abnormalities and clinical condition is poor. Studies using newer MRI techniques, such as magnetization transfer imaging (MTI), diffusion-weighted imaging (DWI), magnetic resonance spectroscopy (MRS), and functional MRI (fMRI), have also been carried out. These techniques are sensitive to a wider range of abnormalities within tissue, and their increased pathological specificity may be helpful in clarifying the underlying pathology of the condition.